<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>July</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>A Mental Health Picture of Young Students in Yucatán</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Gandhi Samuel Hernández-Chan</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Matilde Jiménez-Coello</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Manuel Sosa-Correa</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sally Vanega-Romero</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marisol Villanueva-Escalante</string-name>
          <email>marisol.ve@merida.tecnm.mx</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Geospatial Information Science Research Center</institution>
          ,
          <addr-line>CONAHCyT</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Merida Technology Institute</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Yucatan Autonomous University</institution>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>2024</issue>
      <fpage>82</fpage>
      <lpage>95</lpage>
      <abstract>
        <p>Yucatan, Mexico has maintained one of the highest suicide rates compared to other states. This is visible through the local newspapers and verifiable through oficial sources such as INEGI. The suicide rate has shown an upward trend in recent years. INEGI reports that in 2020 Yucatan was in the third place of suicide rate in the country with 10.4 cases per 100,000 inhabitants. With this in mind, and knowing that the young people is one of the most vulnerable society sectors, this research focuses on get a geolocated picture of their mental health. We applied validated psychologist test through a web app named APPSI to a group of 377 students of a public university in Yucatan. These digital approach allows the rapid assessment of anxiety, depression, stress (dass21), suicidal severity (C-SSRS Columbia) and emotional intelligence (EAYIE). The results shows that dass21 variables are high correlated among each other but less correlated with suicide severity. Furthermore, we found that neither age nor alcohol or tobacco consumption represent a significant diference in the variables measured in the scales but eating habits does. Besides we found that Kanasin is the municipality with the highest scores in the C-SSRS scale and lowest scores in eayie scale and also is the one with more alcohol stores, and it coincides with being one of the municipalities with the highest number of cases of violence and suicides in Yucatan according to local media.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Mental Health</kwd>
        <kwd>Depression</kwd>
        <kwd>Anxiety</kwd>
        <kwd>Stress</kwd>
        <kwd>Emotional Intelligence</kwd>
        <kwd>Spatial Analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>Yucatan is one of the states of the Mexican Republic that, for more than a decade, has maintained a high
suicide rate, constantly above the national average, which is in contrast to the quality of life reported in
the media.</p>
      <p>
        In Mexico, the young people between 15 and 29 years old is the most afected sector of the population
[
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], and it is known that suicide is a multi-factorial problem that revolves around mental health and
that some of its main identified causes are alcoholism, drug addiction, depression, maltreatment and
sexual abuse. Furthermore, depression is a mental health problem that afects around 300 million people
around the world (4.4% of the world population) and is considered the main factor associated in cases
of deaths by suicide [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. Depression can afect people of all ages, but the risk of falling into it increases
by various factors such as problems associated with alcohol [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] and drugs [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] consumption. Regarding
alcohol, studies such as the one presented in [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] show that people who sufer from depression and who
also sufer from alcoholism have a high level of suicidal tendencies. Similarly, research such as the one
presented in [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] shows that alcoholism is associated with a considerable risk of suicidal behavior, and
that people with alcoholism who attempt or commit suicide are characterized by having experienced
major depressive episodes. In Mexico, the problem concerning suicide is not minor. Studies such as
the one presented by [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ] shows the panorama from 1970 to 2007, in which an increase of 275% of
suicide cases was reported, with people in the range of 15 to 29 years being the most vulnerable and a
prevalence of suicidal ideation in people from 18 to 29 years of 9.7%. Similarly, [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] provides information
updated to 2016 regarding the relationship between sociodemographic factors and suicidal ideation
in the Mexican population. The ENBIARE survey of 2021 concluded that 19.5% of the population
had symptoms of depression and one of the factors in the mood balance of people is afected by the
expectation of not being able to cover the expenses of the month (indicator of subjective poverty),
which afects 43.4% of the adult population [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. Research such as the one presented in [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] afirm that,
between 2013 and 2016, Yucatan was among the states with the highest mortality rate due to suicide. In
this study, sociodemographic diferences and factors associated with suicide were observed; suicide
methods are consistent with those observed in the rest of the country and in countries with poverty
and agricultural societies. It should be noted that Yucatan can be taken as a particular case, since the
constant increase in the suicide rate contrasts with the high quality of life, which other media tend to
attribute, mainly the written press, where sites such as [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ], [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ] and [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] place Yucatan, specifically the
city of Merida, as the best place to live, not only in Mexico, but in the world. Given that there is evidence
of the relationship between sociodemographic factors, alcohol and drug use, and depression problems
with suicidal ideation, the objective of this research is to determine the association of these factors
and geospatial information with suicidal ideation in the Yucatecan population, with the purpose of
identifying geographical areas, population sectors or individual cases with higher risk, which will allow
better targeting prevention strategies and/or proposing new ones. In addition, it is of vital importance
to collect the geographical location since it is an element that greatly facilitates the detection of risk
areas and gives rise to geospatial analysis studies in those areas. In addition, together with computer
algorithms for early qualification and classification models, it will favor screening in the detection of
individual risk cases. The interest lies in that this information contributes to the detection of causes not
yet identified associated with the various risk factors, so that this allows to expand the knowledge of
the phenomenon, and that this strengthens the decision-making processes, in order to generate more
specific prevention strategies and public policies that help mitigate the increase in the suicide rate.
Since depression, anxiety and stress are related with suicide risk, and the young people are the must
vulnerable section of the population, this research includes the analysis of these factors in university
students aiming to find out which one represents the mayor risk in order to generate oriented prevention
strategies. In section two we present some other studies that are in the same line, that we have taken
as base specially because they were developed with similar population in Latin America. The next
section presents the description of the materials and methods, it is, the population and place of study,
the sample size and the description of the tool to collect, analyzing and visualizing the data. Then the
next section presents the results, and finally its discussion.
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. Related Work</title>
      <p>
        The Columbia scales (C-SSRS) and DASS-21 have been widely used in studies with diferent populations
belonging to diferent cultures to measure depression, anxiety and stress, especially in university
students during the COVID-19 pandemic. This section presents some of them, which have served
as a reference in this research in for the methodology, tools and results. In [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ] the author applied
the Columbia-Suicide Severity Rating Scales (C-SSRS) test to a population sample of 1,645 individuals
in Chile, achieving an accurate classification of suicidal risk, thereby demonstrating that the items
diferentiate symptoms that address suicidal thoughts according to severity. In this study it was observed
that women have significantly more suicidal ideation and suicidal risk than men; however, data for
the Mexican population indicate that the suicide rate is 4 times higher in men than in women [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ].
Also, works such as the one presented in [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ] and [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ] allow us to observe a significant positive
correlation between the variables of suicidal ideation with depression, anxiety and stress. In [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ] the
authors state that depression, anxiety, well-being, and suicidal tendencies are highly associated during
adolescence and are predictors of mental health in adulthood. In their research, the authors applied
various instruments, including the C-SSRS to measure the relationship between these variables in a
population of students in Mexico City. The results indicate that women have higher levels of depression,
anxiety, stress and suicidal ideation than men and lower levels of self-perception of well-being. In
[
        <xref ref-type="bibr" rid="ref19">19</xref>
        ] a study with students from a University in Chile is presented. It determines the prevalence of
depression, anxiety, stress, insomnia and suicide risk. For this, they used the Columbia scale and
DASS-21 as instruments, among other variables. A high prevalence of mental health diseases was
found (depression 37.1%, anxiety 37.9%, stress 54.6%, insomnia 32.5% and suicide risk 20.4%). The study
presented in [
        <xref ref-type="bibr" rid="ref20">20</xref>
        ] mentions that suicide is a problem that has resisted prevention eforts and that it
continues to be one of the main causes of mortality worldwide, so it is necessary to improve the methods
to prevent it. Likewise, they mention that the C-SSRS has helped to mitigate some of the weaknesses of
clinical research and has improved the accuracy of detection and the predictive validity of risk estimates
compared to other measures that combine ideation and behavior. In [
        <xref ref-type="bibr" rid="ref21">21</xref>
        ], the authors used the C-SSRS,
included in the WMH-ICS (World Mental Health-International College Student) survey, to assess its
accuracy with a sample of first-year Spanish students. The experiment included the participation of
clinical psychologists who were unaware of the initial survey responses and applied the International
Neuropsychiatric Mini-Interview (MINI). The comparison of the results showed a reasonable agreement
between the interviews and the surveys, therefore it was concluded that these surveys can be useful for
the detection of mental health problems. In the same way, in the research presented in [
        <xref ref-type="bibr" rid="ref22">22</xref>
        ] the authors
present a study to measure the reliability and validity of the C-SSRS with a group of adolescent girls with
severe delinquency. The results of the test coincided with the evaluations carried out by social workers
and caregivers. In [
        <xref ref-type="bibr" rid="ref23">23</xref>
        ] a research is presented in which the electronic Columbia Suicide Severity Rating
Scale (eC-SSRS) was used to monitor suicidal ideation and behavior in patients with major depressive
disorder, insomnia, post-traumatic stress disorder, epilepsy and fibromyalgia among 2009 and 2011.
Patients who reported suicidal ideation with intent to act or suicidal behavior at baseline were found to
be 4 to 9 times more likely to report suicidal behavior prospectively during study participation. Studies
such as the one presented in [
        <xref ref-type="bibr" rid="ref24">24</xref>
        ] used the online C-SSRS scale to assess perceptions of risk, fear, mental
health status, and coping strategies regarding the COVID-19 pandemic in Saudi nursing students. The
results showed that religion is the most common coping strategy, and that 43.3%, 37.2% and 30.9% of
the respondents have some degree of depression, anxiety or stress respectively. In [
        <xref ref-type="bibr" rid="ref25">25</xref>
        ] the authors
measured suicidal behavior in university students in China. The study included psychological variables
such as depression, anxiety, stress, hopelessness, happiness orientation, meaning of life, and coping
styles. It was found that the greatest risk factors are depression, anxiety, stress and hopelessness. On
the other hand, the authors in [
        <xref ref-type="bibr" rid="ref26">26</xref>
        ] applied the DASS-21 scale to estimate the prevalence of symptoms of
depression, anxiety, stress, and associated factors in university students. The results revealed a moderate
prevalence of depression (18.4%), anxiety (23.6%) and stress (34.5%). In [
        <xref ref-type="bibr" rid="ref27">27</xref>
        ] a study is presented in which
the DASS-21 scale was used to determine the mental health status of a group of university students
in Saltillo, Mexico during the COVID-19 pandemic. The results showed that the students sufer from
high levels of stress, anxiety and depression, which is higher in women and people who sufer from a
chronic illness. In addition, it was found that students who believe that others comply with the safety
measures of COVID-19 have significantly less anxiety and depression. In [
        <xref ref-type="bibr" rid="ref28">28</xref>
        ] the authors applied the
online DASS-21 scale to Ethiopian university students during the COVID-19 pandemic to measure
their levels of depression, anxiety, stress, and other associated factors. The study found prevalence
of depression (46.3%), anxiety (52%) and stress (28.6%). A similar study is presented in [
        <xref ref-type="bibr" rid="ref29">29</xref>
        ] where
the DASS-21 scale is applied to undergraduate students who were taking classes online during the
COVID-19 pandemic. The results revealed that most of the students present moderate symptoms of
depression (16.98%), anxiety (16.98%) and stress (14.46%) due to online classes. Similarly, [
        <xref ref-type="bibr" rid="ref30">30</xref>
        ] presents
a study in which DASS-21 was applied to a group of high school students in Guadalajara, Mexico. It
was found that women have higher levels in the three factors included in the scale and that students
who had family members infected with COVID-19 presented significantly higher levels of anxiety
compared to the others. Similarly, the authors in [
        <xref ref-type="bibr" rid="ref31">31</xref>
        ] applied the DASS-21 scale and other psychological
scales during the pandemic to analyze the symptoms of depression, anxiety, and stress in Brazilian
university students. The results showed symptoms of depression, anxiety and stress in 60.5%, 52.5%
and 57.5% of the population respectively. In [
        <xref ref-type="bibr" rid="ref32">32</xref>
        ] the authors present a research with the objective of
exploring the sociodemographic and educational factors associated with depression, anxiety and stress
in students of health-related professions from the application of the DASS-21 scale and questions about
sociodemographic and educational characteristics. It was found that sleep duration, communication
with teachers, feelings of inferiority, and family problems are independent predictors of depression,
but strong predictors of anxiety, and that feelings of inferiority and family problems are important
risk factors for stress. Finally, works such as [
        <xref ref-type="bibr" rid="ref33">33</xref>
        ], [
        <xref ref-type="bibr" rid="ref34">34</xref>
        ], [
        <xref ref-type="bibr" rid="ref35">35</xref>
        ] and [
        <xref ref-type="bibr" rid="ref36">36</xref>
        ] carried out similar methodologies
to measure levels of depression, anxiety and stress together with other variables such as sleep habits
and physical activity in young university students from of the application of the DASS-21 scale and
other scales with similar results. The works presented above are evidence of the use of the C-SSRS
and DASS-21 scales to measure depression, anxiety, stress and suicide risk in various population but
specially in young people.
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Materials and Methods</title>
      <p>This section describes the study population, the psychological tests applied, and the data collection
tool. Although some of the works mentioned in the related work section refer to the period of the
pandemic, this work does not aim to take into account that period as a risk factor, but rather the living
conditions and habits of the students. On the other hand, the sample was randomly selected among a
group of students recently enrolled in the University, so that no selection criteria in terms of sex were
established. Despite the fact that young people are the sector of the population most vulnerable to
suicide, this sample represents young university students and not the general population.</p>
      <sec id="sec-3-1">
        <title>3.1. Population and place of the study</title>
        <p>For this research we select 378 students from a public University in Merida Yucatan. The population
was distributed as follows: 72.5% males, 27.2% females and 0.3% preferred not to answer; the range
of age was between 17 an 29 where the three biggest groups was 46.8% students with 18 years old,
27.8% students with 19 years old, and 13% students with 20 years old; the 70.6% of the students live in
Merida city and the rest live in the peripheral municipalities. Other interesting data is that the 32.2% of
the students said that they have live in Merida about one year or less. This information is interesting
because it reflects the population grow of the city, but also shows a migration dynamic, that could be
interesting of studying for the life conditions of the students, such as isolation, incomes, or else.</p>
      </sec>
      <sec id="sec-3-2">
        <title>3.2. psycological tests</title>
        <p>For this research we decided to use the C-SSRS test for measure the suicide risk, the DASS-21 test for
measure depression, anxiety and stress levels, and the EAYIE-AD to measure the self-reported emotional
intelligence in adults. The last one has three factors which are interpersonal emotional awareness
(CE Inter), intrapersonal emotional awareness (CE Intra) and emotional regulation (RE). In relation to
suicide risk, from the performance of an ordinal logistic regression and finally, through a ROC curve
model, we determined the suitability of this model to predict the risk of suicide. In relation to the
DASS-21 test Cronbach’s  was used to measure reliability and to find out the correlations, the Pearson
correlation coeficient test.</p>
      </sec>
      <sec id="sec-3-3">
        <title>3.3. Data collection tool</title>
        <p>This tool is divided in four phases described as follows. For the data collection phase, a web application
that can be accessed from the project website (https://siemai.mx/appsi/), was created. Through the
App, the students answered the questionnaires from their school. We asked them to write their address
as accurate as possible, and then, we used google map API to get the corresponding coordinates. For
the data storage phase, the responses were automatically stored digitally in a database. It is important
to point out that the geolocation values obtained will allow future geospatial analysis to be carried
out looking for risk factors associated with sociodemographic variables. Once the students send their
responses, the application sends them a thank you message through WhatsApp, which seeks to have
more interaction with the students. The data analysis phase consisted of three parts. For the first one
we developed an algorithm that scores the tests immediately (as soon as the respondent completes the
questionnaires) and classify them by levels of impact (null, low, moderate, severe and extreme) for each
variable of the used scales. The second part consisted of identifying the variables with the greatest
impact and the third one consisted of establishing correlations with other data. The data visualization
phase consisted of the creation of a web platform that allows the next: i) to see on a map the data
classified by variable and level, and ii) to see the general statistics obtained through the data, including
the distribution of the population on each level of depression, anxiety, stress and suicide severity, sex,
age, food habits, time living in Yucatan, etc. It is an interactive platform that shows the updated status
of the database. The 2 shows the complete dataflow diagram in its four phases. The results are shown
in the next section.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Results</title>
      <sec id="sec-4-1">
        <title>4.1. Results by age and sex</title>
        <p>The table 1 shows the mean values of mental health variables divided by age and sex</p>
        <p>It can be seen that people under 18 years old have similar levels of depression, anxiety, stress, and
suicidal severity as people with 18 years old or older. That is, it is not possible to afirm that age is a
factor that indicates a diference in this population. However, when dividing the population by sex, it
can be seen that women reach higher levels (practically double that of men) in all variables. Although
this coincides with the literature and the findings in other researches, it is also necessary to highlight
that the number of men with manifestations of violence, such as suicide, is greater.</p>
      </sec>
      <sec id="sec-4-2">
        <title>4.2. Results by substance consumption</title>
        <p>The table 2 shows the mean values obtained in the scales related with the consumption and not
consumption of alcohol, tobacco and other substances.</p>
        <p>It is possible to see that, with respect to the population that consumes alcohol, there is no great
diference in the values of the C-SSRS and DASS21 tests compared to those who do not consume alcohol.
However, those who reported consuming alcohol have higher averages in the four variables.</p>
        <p>With reference to tobacco consumption, something similar is observed, unlike the average of values
on the C-SSRS scale (suicidal severity) where the risk of those who consume tobacco is more than
double that of those who do not consume tobacco.</p>
        <p>Finally, the table shows that those who reported consuming some other substance have practically
the double of the risk (suicidal severity) than those who do not consume, but similar values in the
depression, anxiety and stress variables.</p>
        <p>Although there is no significant diference in the averages of the C-SSRS and DASS21 scales between
alcohol consumers and non-consumers, almost double the value was identified in the average stress,
which is why this variable has deserved special attention.</p>
      </sec>
      <sec id="sec-4-3">
        <title>4.3. Results by municipality</title>
        <p>In this section it can be seen in the figure 2 that the two municipalities with the highest index in each
of the scales (C-SSRS and DASS21) are Merida and Kanasin. It can even be noted that the second has
higher values regarding the suicidal severity scale (C-SSRS). Furthermore, with respect to the anxiety
and stress variables, the population in the municipality of Uman achieves comparable values.</p>
        <p>Likewise, in the same figure it is notable that the municipality of Merida, compared to the other
municipalities, has the highest values with respect to the variables of the eayie scale, which measures
protective factors, and that the population of kanasin shows the lowest values in two of the three factors
of eayie scale. This can be interpreted as Kanasin representing a municipality of attention by showing
high values on the mental health scales, low values on the protective factors scale.</p>
        <p>To determine the existence of a significant diference between Kanasin and the other municipalities
with respect to each of the mental health scales, we applied the Mann-Whithney test, the results of which
are shown in table 3. It can be seen that there is no significant diference between the municipalities
with the highest number of individuals surveyed.</p>
      </sec>
      <sec id="sec-4-4">
        <title>4.4. Results by Feeding Habits</title>
        <p>Regarding feeding habits five questions were asked: i) do you think you consume a variety of foods?, ii)
have you skipped breakfast in recent months? , iii) do you consider that you consume enough food?, iv)
have you eaten only once a day in the last few months? and v) have you left with out eating in the last
few months ? For each of the questions the possible answers were yes (in blue) and no (in red). Figure
3 shows that those who consider that not having a varied diet have higher values in the four mental
health variables. Figure 4 shows that those who tend to skip breakfast have higher values on all four
mental health variables. Figure 5 shows that those who consider not eating enough food have higher
values in the four mental health variables. Figure 6 shows that those who have eaten only once a day in
recent months also have higher values on the mental health variables. figure 7 shows that those who
left without eating in the last few months have higher values of suicide severity, depression, anxiety
and stress.</p>
        <p>Also, it can be observed that, in terms of protector facts (f1,f2,f3), there is no to much diference
between the ones how have good and bad eating habits.</p>
        <p>What can be inferred from figure 3 to 7 is that eating habits play an important role in the mood
and mental health of young university students, especially because a large part of them come from
other states and their living conditions are unknown, regarding whether they live alone, with friends or
family or if they have enough money to maintain healthy eating habits.</p>
        <p>Table 4 presents the significant diference among feeding habits related with mental health variables.
It can be seen that eating various foods has a significant diference between the ones who use to and
the ones who don’t in the four variables. Beside, do not have breakfast shows a significant diference
between the ones who use to and the ones who don´t in three of the four variables correspondent to
the DASS21 scale. Finally, eating enough food, have eaten only once in the last few months and left
without eating in the last few months have significant diference in only one of the four mental health
variables. On the other side, the depression is the variable than has significant diference in four of the
ifve feeding habits.</p>
        <p>Based on the above mentioned, we can say that bad eating habits could afect the mental health of
young students, specially with depression problems.</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>5. Classification Models Development</title>
      <p>Based on the previous results showing that substance use and eating habits play an important role with
respect to mental health in terms of the variables analyzed, three classification models were developed
to classify the suicide risk (columbia scale). For this, the following twelve variables were taken into
account: 1) sex, 2) various foods, iii) don´t have breakfast, iv) enough food, v) have eaten only once
vi) been left without eating vii) alcohol consumption, viii) tobacco consumption, ix) other substances
consumption, x) depression, xi) anxiety and xii) stress.</p>
      <p>All possible combinations of these variables were calculated and decision tree, knn and Multilayer
perceptron (MLP) models were tested.</p>
      <p>Table 5 to table 7 shows the results of each one. It can me seen that the MLP model has the higher
accuracy using nine of the twelve variables, so it looks like it is possible to predict or detect the
suicide risk using sociodemographic variables such as eaten habits and alcohol and other substances
consumption in addition with anxiety and stress.</p>
    </sec>
    <sec id="sec-6">
      <title>6. Discussion</title>
      <p>
        Bolton, D., and Bhugra, D. [
        <xref ref-type="bibr" rid="ref37">37</xref>
        ] note that many psychiatric disorders are strongly influenced by cultural
and social factors, where the apparent increase may reflect cultural and social changes in representations
of mental health. As well as that in recent decades there have been increasingly evident fractures in
social solidarity, which interact with specific sociopolitical, economic and environmental stressors that
afect and exacerbate the younger generations. The study area (southeast of Mexico) is characterized by
less economic development (with lower salaries compared to the north or center of the country) [
        <xref ref-type="bibr" rid="ref38">38</xref>
        ].
In other works [
        <xref ref-type="bibr" rid="ref26">26</xref>
        ] it has been described that being a woman, living with the family, having a stable
partner and alcohol consumption in young people can be factors associated with high levels of stress,
however in the results found in university students, It stands out that stress levels are lower, possibly
due to the greater frequency of visits to parks among young people [
        <xref ref-type="bibr" rid="ref39">39</xref>
        ], safety and good quality of life
that is reported to be maintained in the study area [
        <xref ref-type="bibr" rid="ref40">40</xref>
        ]. Something similar happens with depression
and anxiety, since they are less frequent in the population studied compared to other parts of Mexico,
Latin America and other countries [
        <xref ref-type="bibr" rid="ref41">41</xref>
        ], [
        <xref ref-type="bibr" rid="ref42">42</xref>
        ], [
        <xref ref-type="bibr" rid="ref43">43</xref>
        ]. On the other hand, a clear correlation between
anxiety and stress, as well as anxiety and depression, was identified in the population of young people
studied, which coincides with other works that describe these findings [
        <xref ref-type="bibr" rid="ref44">44</xref>
        ] and describe that reducing
maladaptive coping behaviors can have the most positive impact in reducing depression, anxiety, and
stress in this population.
      </p>
      <p>
        On the other hand, the results of the tests to measure the levels of depression, anxiety and stress
were higher in young people who consumed tobacco, alcohol or other substances, in agreement with
what was described by [
        <xref ref-type="bibr" rid="ref45">45</xref>
        ], [
        <xref ref-type="bibr" rid="ref46">46</xref>
        ]; however, the high consumption of substances are not the only causes,
but when they are linked to other elements such as the social fabric, regularity in social activities and
high economic situation, they may not represent a negative efect [49]. Specifically, the consumption
of cannabis has been associated in various studies with the subsequent development of depression
and suicidal tendencies in young people, so this is an important situation to consider regarding public
health, for which health care policies must be considered for their adequate approach [
        <xref ref-type="bibr" rid="ref46">46</xref>
        ].
      </p>
    </sec>
    <sec id="sec-7">
      <title>Author Contributions</title>
      <p>Conceptualization, Gandhi Hernández, Sally Vanega, Matilde Coello, Manuel Sosa; methodology,
Gandhi Hernández, Sally Vanega, Matilde Coello, Manuel Sosa; software, Gandhi Hernández; Validation,
Sally Vanega, Matilde Coello, Manuel Sosa; formal analysis, Sally Vanega, Matilde Coello, Manuel
Sosa; investigation, Gandhi Hernández, Sally Vanega, Matilde Coello, Manuel Sosa; resources, Gandhi
Hernández, Sally Vanega, Matilde Coello, Manuel Sosa; data curation, Gandhi Hernández; writing—
original draft preparation, Gandhi Hernández, Sally Vanega, Matilde Coello, Manuel Sosa; writing—
review and editing, Gandhi Hernández, Sally Vanega, Matilde Coello, Manuel Sosa; visualization, Gandhi
Hernández ; All authors have read and agreed to the published version of the manuscript.</p>
    </sec>
    <sec id="sec-8">
      <title>Informed Consent</title>
      <p>”Informed consent was obtained from all subjects involved in the study.”. It can be consulted in http:
//siemai.mx/CentroGeo/consentimiento_itm.php</p>
    </sec>
    <sec id="sec-9">
      <title>Data Availability</title>
      <p>The data generated during this research are available at http://siemai.mx/CentroGeo/mapa.php.</p>
    </sec>
    <sec id="sec-10">
      <title>Conflicts of Interest</title>
      <p>“The authors declare no conflict of interest.”.</p>
    </sec>
    <sec id="sec-11">
      <title>Acknowledgments</title>
      <p>We want to thank the National Geointelligence Laboratory (GeoInt) and the Geospatial Information
Sciences Research Center (CentroGeo) for the facilities granted for the development of this research.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Suicidios</surname>
          </string-name>
          , ???? URL: https://www.inegi.org.mx/contenidos/saladeprensa/aproposito/2022/EAP_ SUICIDIOS22.pdf, 2022-
          <volume>11</volume>
          -18.
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>W. H.</given-names>
            <surname>Organization</surname>
          </string-name>
          , et al.,
          <article-title>Depression and other common mental disorders: global health estimates</article-title>
          ,
          <source>Technical Report</source>
          , World Health Organization,
          <year>2017</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>L.</given-names>
            <surname>Sher</surname>
          </string-name>
          , Depression and alcoholism,
          <source>Qjm</source>
          <volume>97</volume>
          (
          <year>2004</year>
          )
          <fpage>237</fpage>
          -
          <lpage>240</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <given-names>C.</given-names>
            <surname>Crump</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Sundquist</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K. S.</given-names>
            <surname>Kendler</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A. C.</given-names>
            <surname>Edwards</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.</given-names>
            <surname>Sundquist</surname>
          </string-name>
          ,
          <article-title>Comparative risk of suicide by specific substance use disorders: A national cohort study</article-title>
          ,
          <source>Journal of psychiatric research 144</source>
          (
          <year>2021</year>
          )
          <fpage>247</fpage>
          -
          <lpage>254</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <given-names>J. R.</given-names>
            <surname>Cornelius</surname>
          </string-name>
          ,
          <string-name>
            <given-names>I. M.</given-names>
            <surname>Salloum</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Mezzich</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. D.</given-names>
            <surname>Cornelius</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Fabrega</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. G.</given-names>
            <surname>Ehler</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R. F.</given-names>
            <surname>Ulrich</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. E.</given-names>
            <surname>Thase</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. J.</given-names>
            <surname>Mann</surname>
          </string-name>
          ,
          <article-title>Disproportionate suicidality in patients with comorbid major depression and alcoholism</article-title>
          .,
          <source>The American journal of psychiatry</source>
          (
          <year>1995</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <given-names>L.</given-names>
            <surname>Sher</surname>
          </string-name>
          ,
          <article-title>Alcoholism and suicidal behavior: a clinical overview</article-title>
          ,
          <source>Acta Psychiatrica Scandinavica</source>
          <volume>113</volume>
          (
          <year>2006</year>
          )
          <fpage>13</fpage>
          -
          <lpage>22</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <given-names>G.</given-names>
            <surname>Borges</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Orozco</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Benjet</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. E.</given-names>
            <surname>Medina-Mora</surname>
          </string-name>
          ,
          <article-title>Suicide and suicidal behaviors in mexico: Retrospective and current status</article-title>
          ,
          <source>Salud publica de Mexico</source>
          <volume>52</volume>
          (
          <year>2010</year>
          )
          <fpage>292</fpage>
          -
          <lpage>304</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <given-names>G.</given-names>
            <surname>Borges</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Orozco</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Villatoro</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. E.</given-names>
            <surname>Medina-Mora</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Fleiz</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Díaz-Salazar</surname>
          </string-name>
          ,
          <article-title>Suicide ideation</article-title>
          and behavior in mexico:
          <source>Encodat</source>
          <year>2016</year>
          , Salud pública de México 61 (
          <year>2019</year>
          )
          <fpage>6</fpage>
          -
          <lpage>15</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          <source>[9] Enbiare</source>
          <year>2021</year>
          , ???? URL: http://www.journalmex.com.
          <article-title>mx/ la-primera-encuesta-nacional-</article-title>
          <string-name>
            <surname>de-</surname>
          </string-name>
          bienestar-autorreportado-2021/, 2023-
          <volume>03</volume>
          -23.
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <given-names>D.</given-names>
            <surname>Velázquez-Vázquez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Rosado-Franco</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Herrera-Pacheco</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Aguilar-Vargas</surname>
          </string-name>
          ,
          <string-name>
            <surname>N.</surname>
          </string-name>
          <article-title>MéndezDomínguez, Epidemiological description of suicide mortality in the state of yucatan between 2013 and 2016</article-title>
          , Salud mental
          <volume>42</volume>
          (
          <year>2019</year>
          )
          <fpage>75</fpage>
          -
          <lpage>82</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <surname>Inmobilia</surname>
          </string-name>
          , ???? URL: https://info.inmobilia.mx/blog/yucatan-segundo
          <article-title>-mejor-estado-para-vivir-en-</article-title>
          <string-name>
            <surname>mexico</surname>
          </string-name>
          ,
          <year>2022</year>
          -
          <volume>07</volume>
          -06.
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <surname>Forbes</surname>
          </string-name>
          , ???? URL: https://www.forbes.com.
          <article-title>mx/merida-supera-a-florencia-y-quebec-como-la-mejor-ciudad-del-mun</article-title>
          <year>2022</year>
          -
          <volume>07</volume>
          -06.
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <surname>Yucatan</surname>
          </string-name>
          , ???? URL: https://www.yucatan.gob.mx/saladeprensa/ver_nota.
          <source>php?id=6826</source>
          ,
          <fpage>2022</fpage>
          -
          <volume>11</volume>
          -18.
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [14]
          <string-name>
            <given-names>D.</given-names>
            <surname>Núñez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Arias</surname>
          </string-name>
          ,
          <string-name>
            <given-names>P.</given-names>
            <surname>Méndez-Bustos</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Fresno</surname>
          </string-name>
          ,
          <article-title>Is a brief self-report version of the columbia severity scale useful for screening suicidal ideation in chilean adolescents?</article-title>
          ,
          <source>Comprehensive psychiatry 88</source>
          (
          <year>2019</year>
          )
          <fpage>39</fpage>
          -
          <lpage>48</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          [15]
          <string-name>
            <surname>Suicidios</surname>
          </string-name>
          , ???? URL: https://www.inegi.org.mx/contenidos/saladeprensa/aproposito/2021/ Suicidios2021_Nal.pdf, 2021-
          <volume>11</volume>
          -08.
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [16]
          <string-name>
            <given-names>P. F.</given-names>
            <surname>Monjes Valdés</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H. F.</given-names>
            <surname>Valdés Alegría</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D. Núñez</given-names>
            <surname>Gutiérrez</surname>
          </string-name>
          ,
          <article-title>Ideación suicida, experiencias psicóticas subumbrales y síntomas depresivos: estudio de la naturaleza de sus relaciones a través del enfoque de redes en adolescentes</article-title>
          de la provincia de Talca,
          <source>Ph.D. thesis</source>
          , Universidad de Talca (Chile).
          <source>Facultad de Psicología</source>
          ,
          <year>2018</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          [17]
          <string-name>
            <given-names>S.</given-names>
            <surname>Campos</surname>
          </string-name>
          ,
          <string-name>
            <given-names>P.</given-names>
            <surname>Monjes</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Wigman</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Nunez</surname>
          </string-name>
          ,
          <year>O3</year>
          .
          <article-title>3. do depressive symptoms mediate the relationships between suicidal ideation and psychotic experiences in adolescents?</article-title>
          ,
          <source>Schizophrenia Bulletin</source>
          <volume>46</volume>
          (
          <year>2020</year>
          )
          <article-title>S6</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          [18]
          <string-name>
            <given-names>I.</given-names>
            <surname>Martinez-Nicolas</surname>
          </string-name>
          ,
          <string-name>
            <given-names>P. E. A.</given-names>
            <surname>Castañeda</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C. A.</given-names>
            <surname>Molina-Pizarro</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A. R.</given-names>
            <surname>Franco</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Maya-Hernández</surname>
          </string-name>
          , I. Barahona,
          <string-name>
            <given-names>G.</given-names>
            <surname>Martínez-Alés</surname>
          </string-name>
          ,
          <string-name>
            <given-names>F. A.</given-names>
            <surname>Bisquert</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Baca-Garcia</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. L.</given-names>
            <surname>Barrigón</surname>
          </string-name>
          ,
          <article-title>Impact of depression on anxiety, well-being, and suicidality in mexican adolescent and young adult students from mexico city: a mental health screening using smartphones</article-title>
          ,
          <source>The Journal of Clinical Psychiatry</source>
          <volume>83</volume>
          (
          <year>2022</year>
          )
          <fpage>40447</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          [19]
          <string-name>
            <surname>J. M. Valdés</surname>
            ,
            <given-names>F. J.</given-names>
          </string-name>
          <string-name>
            <surname>Díaz</surname>
            ,
            <given-names>P. M.</given-names>
          </string-name>
          <string-name>
            <surname>Christiansen</surname>
            ,
            <given-names>G. A.</given-names>
          </string-name>
          <string-name>
            <surname>Lorca</surname>
            ,
            <given-names>F. J.</given-names>
          </string-name>
          <string-name>
            <surname>Solorza</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          <string-name>
            <surname>Alvear</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          <string-name>
            <surname>Ramírez</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          <string-name>
            <surname>Nuñez</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          <string-name>
            <surname>Araya</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          <string-name>
            <surname>Gaete</surname>
          </string-name>
          ,
          <article-title>Mental health and related factors among undergraduate students during sars-cov-2 pandemic: A cross-sectional study</article-title>
          ,
          <source>Frontiers in Psychiatry</source>
          <volume>13</volume>
          (
          <year>2022</year>
          )
          <fpage>833263</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          [20]
          <string-name>
            <given-names>K.</given-names>
            <surname>Yershova</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Lesser</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.</given-names>
            <surname>Logan</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.</given-names>
            <surname>Posner</surname>
          </string-name>
          ,
          <article-title>Asking about suicide as suicide prevention: the columbia suicide severity rating scale (c-ssrs), Understanding suicide: From diagnosis to personalized treatment (</article-title>
          <year>2016</year>
          )
          <fpage>29</fpage>
          -
          <lpage>41</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          [21]
          <string-name>
            <given-names>L.</given-names>
            <surname>Ballester</surname>
          </string-name>
          , I. Alayo, G. Vilagut,
          <string-name>
            <given-names>J.</given-names>
            <surname>Almenara</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A. I.</given-names>
            <surname>Cebrià</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Echeburúa</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Gabilondo</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
            <surname>Gili</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Lagares</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. A.</given-names>
            <surname>Piqueras</surname>
          </string-name>
          , et al.,
          <article-title>Accuracy of online survey assessment of mental disorders and suicidal thoughts and behaviors in spanish university students. results of the who world mental health-international college student initiative</article-title>
          ,
          <source>PloS one 14</source>
          (
          <year>2019</year>
          )
          <article-title>e0221529</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          [22]
          <string-name>
            <given-names>D. C.</given-names>
            <surname>Kerr</surname>
          </string-name>
          ,
          <string-name>
            <given-names>B.</given-names>
            <surname>Gibson</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L. D.</given-names>
            <surname>Leve</surname>
          </string-name>
          ,
          <string-name>
            <surname>D. S. DeGarmo</surname>
          </string-name>
          ,
          <article-title>Young adult follow-up of adolescent girls in juvenile justice using the columbia suicide severity rating scale</article-title>
          ,
          <source>Suicide and Life-Threatening Behavior</source>
          <volume>44</volume>
          (
          <year>2014</year>
          )
          <fpage>113</fpage>
          -
          <lpage>129</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          [23]
          <string-name>
            <given-names>J. C.</given-names>
            <surname>Mundt</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. H.</given-names>
            <surname>Greist</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. W.</given-names>
            <surname>Jeferson</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
            <surname>Federico</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. J.</given-names>
            <surname>Mann</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.</given-names>
            <surname>Posner</surname>
          </string-name>
          ,
          <article-title>Prediction of suicidal behavior in clinical research by lifetime suicidal ideation and behavior ascertained by the electronic columbia-suicide severity rating scale</article-title>
          ,
          <source>The Journal of clinical psychiatry 74</source>
          (
          <year>2013</year>
          )
          <fpage>15045</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref24">
        <mixed-citation>
          [24]
          <string-name>
            <given-names>A.</given-names>
            <surname>Alsolais</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Alquwez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K. A.</given-names>
            <surname>Alotaibi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A. S.</given-names>
            <surname>Alqarni</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
            <surname>Almalki</surname>
          </string-name>
          ,
          <string-name>
            <given-names>F.</given-names>
            <surname>Alsolami</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Almazan</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. P.</given-names>
            <surname>Cruz</surname>
          </string-name>
          ,
          <article-title>Risk perceptions, fear, depression, anxiety, stress and coping among saudi nursing students during the covid-19 pandemic</article-title>
          ,
          <source>Journal of mental health 30</source>
          (
          <year>2021</year>
          )
          <fpage>194</fpage>
          -
          <lpage>201</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref25">
        <mixed-citation>
          [25]
          <string-name>
            <given-names>B.</given-names>
            <surname>Lew</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Huen</surname>
          </string-name>
          ,
          <string-name>
            <given-names>P.</given-names>
            <surname>Yu</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L.</given-names>
            <surname>Yuan</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.-F.</given-names>
            <surname>Wang</surname>
          </string-name>
          ,
          <string-name>
            <given-names>F.</given-names>
            <surname>Ping</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. Abu</given-names>
            <surname>Talib</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Lester</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.-X.</given-names>
            <surname>Jia</surname>
          </string-name>
          ,
          <article-title>Associations between depression, anxiety, stress, hopelessness, subjective well-being, coping styles and suicide in chinese university students</article-title>
          ,
          <source>PloS one 14</source>
          (
          <year>2019</year>
          )
          <article-title>e0217372</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref26">
        <mixed-citation>
          [26]
          <string-name>
            <given-names>E.</given-names>
            <surname>Ramón-Arbués</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Gea-Caballero</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. M.</given-names>
            <surname>Granada-López</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Juárez-Vela</surname>
          </string-name>
          ,
          <string-name>
            <given-names>B.</given-names>
            <surname>Pellicer-García</surname>
          </string-name>
          ,
          <string-name>
            <surname>I.</surname>
          </string-name>
          <article-title>Antón-Solanas, The prevalence of depression, anxiety and stress and their associated factors in college students</article-title>
          ,
          <source>International journal of environmental research and public health 17</source>
          (
          <year>2020</year>
          )
          <fpage>7001</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref27">
        <mixed-citation>
          [27]
          <string-name>
            <given-names>M.</given-names>
            <surname>Dosil-Santamaria</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Ozamiz-Etxebarria</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N. Idoiaga</given-names>
            <surname>Mondragon</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Reyes-Sosa</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Santabárbara</surname>
          </string-name>
          , Emotional state of mexican university students in the covid-
          <volume>19</volume>
          pandemic,
          <source>International journal of environmental research and public health 19</source>
          (
          <year>2022</year>
          )
          <fpage>2155</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref28">
        <mixed-citation>
          [28]
          <string-name>
            <given-names>W.</given-names>
            <surname>Simegn</surname>
          </string-name>
          ,
          <string-name>
            <given-names>B.</given-names>
            <surname>Dagnew</surname>
          </string-name>
          ,
          <string-name>
            <given-names>Y.</given-names>
            <surname>Yeshaw</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Yitayih</surname>
          </string-name>
          ,
          <string-name>
            <given-names>B.</given-names>
            <surname>Woldegerima</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Dagne</surname>
          </string-name>
          ,
          <article-title>Depression, anxiety, stress and their associated factors among ethiopian university students during an early stage of covid-19 pandemic: An online-based cross-sectional survey</article-title>
          ,
          <source>PloS one 16</source>
          (
          <year>2021</year>
          )
          <article-title>e0251670</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref29">
        <mixed-citation>
          [29]
          <string-name>
            <given-names>B.</given-names>
            <surname>Bisht</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Sharma</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Kaur</surname>
          </string-name>
          , et al.,
          <article-title>Online classes during covid-19 pandemic: Anxiety, stress &amp; depression among university students</article-title>
          .,
          <source>Indian Journal of Forensic Medicine &amp; Toxicology</source>
          <volume>15</volume>
          (
          <year>2021</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref30">
        <mixed-citation>
          [30]
          <string-name>
            <given-names>M.</given-names>
            <surname>Maciel-Saldierna</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Elizondo-Hernández</surname>
          </string-name>
          ,
          <string-name>
            <given-names>G.</given-names>
            <surname>Cervantes-Guevara</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Cervantes-Pérez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>G. A.</given-names>
            <surname>Cervantes-Cardona</surname>
          </string-name>
          ,
          <string-name>
            <given-names>B. G.</given-names>
            <surname>Guzmán-Ramírez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>I. V.</given-names>
            <surname>Brancaccio-Pérez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. M.</given-names>
            <surname>Chejfec-Ciociano</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. J.</given-names>
            <surname>Guzmán-Ruvalcaba</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L. R.</given-names>
            <surname>Cifuentes-Andrade</surname>
          </string-name>
          , et al.,
          <article-title>Prevalence of depression, anxiety, and stress in junior high school students in guadalajara, mexico: a cross-sectional survey study</article-title>
          ,
          <source>International journal of environmental research and public health 19</source>
          (
          <year>2022</year>
          )
          <fpage>15463</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref31">
        <mixed-citation>
          [31]
          <string-name>
            <given-names>A. R.</given-names>
            <surname>Lopes</surname>
          </string-name>
          ,
          <string-name>
            <given-names>O. K.</given-names>
            <surname>Nihei</surname>
          </string-name>
          ,
          <article-title>Depression, anxiety and stress symptoms in brazilian university students during the covid-19 pandemic: Predictors and association with life satisfaction, psychological well-being and coping strategies</article-title>
          ,
          <source>PLoS one 16</source>
          (
          <year>2021</year>
          )
          <article-title>e0258493</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref32">
        <mixed-citation>
          [32]
          <string-name>
            <given-names>B. S.</given-names>
            <surname>Nayak</surname>
          </string-name>
          ,
          <string-name>
            <given-names>P. K.</given-names>
            <surname>Sahu</surname>
          </string-name>
          ,
          <article-title>Socio-demographic and educational factors associated with depression, anxiety and stress among health professions students</article-title>
          , Psychology,
          <source>Health &amp; Medicine</source>
          <volume>27</volume>
          (
          <year>2022</year>
          )
          <fpage>848</fpage>
          -
          <lpage>853</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref33">
        <mixed-citation>
          [33]
          <string-name>
            <given-names>D. X.</given-names>
            <surname>Pacheco-Tobón</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Bautista-Soto</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Arellano-Ramírez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Orozco-García</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L.</given-names>
            <surname>Ramos-Ruiz</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Herbales-Martinez</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L. M.</given-names>
            <surname>Porchia</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Pérez-Fuentes</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. E.</given-names>
            <surname>Gonzalez-Mejia</surname>
          </string-name>
          ,
          <article-title>An assessment of mental health of mexican and colombian medical students during the covid-19 pandemic</article-title>
          ,
          <source>Salud Mental</source>
          <volume>46</volume>
          (
          <year>2023</year>
          )
          <fpage>69</fpage>
          -
          <lpage>82</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref34">
        <mixed-citation>
          [34]
          <string-name>
            <given-names>I.</given-names>
            <surname>Škrlec</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Talapko</surname>
          </string-name>
          , E. Pustijanac, T. Meštrović,
          <article-title>Depression, anxiety, stress and physical activity in health-related university students during covid-19</article-title>
          , in:
          <source>Medical Sciences Forum</source>
          , volume
          <volume>4</volume>
          , MDPI,
          <year>2021</year>
          , p.
          <fpage>43</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref35">
        <mixed-citation>
          [35]
          <string-name>
            <given-names>Y.</given-names>
            <surname>Yu</surname>
          </string-name>
          ,
          <string-name>
            <given-names>W.</given-names>
            <surname>Yan</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Yu</surname>
          </string-name>
          ,
          <string-name>
            <given-names>Y.</given-names>
            <surname>Xu</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Wang</surname>
          </string-name>
          ,
          <string-name>
            <given-names>Y.</given-names>
            <surname>Wang</surname>
          </string-name>
          ,
          <article-title>Prevalence and associated factors of complains on depression, anxiety, and stress in university students: an extensive population-based survey in china</article-title>
          ,
          <source>Frontiers in psychology 13</source>
          (
          <year>2022</year>
          )
          <fpage>842378</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref36">
        <mixed-citation>
          [36]
          <string-name>
            <given-names>S.</given-names>
            <surname>Gaş</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H. Ekşi</given-names>
            <surname>Özsoy</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.</given-names>
            <surname>Cesur Aydın</surname>
          </string-name>
          ,
          <article-title>The association between sleep quality, depression, anxiety and stress levels, and temporomandibular joint disorders among turkish dental students during the covid-19 pandemic</article-title>
          , CRANIO® (
          <year>2021</year>
          )
          <fpage>1</fpage>
          -
          <lpage>6</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref37">
        <mixed-citation>
          [37]
          <string-name>
            <given-names>D.</given-names>
            <surname>Bolton</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Bhugra</surname>
          </string-name>
          ,
          <article-title>Changes in society and young people's mental health1</article-title>
          ,
          <source>International Review of Psychiatry</source>
          <volume>33</volume>
          (
          <year>2021</year>
          )
          <fpage>154</fpage>
          -
          <lpage>161</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref38">
        <mixed-citation>
          [38]
          <string-name>
            <surname>R. M. Campos Vázquez</surname>
            ,
            <given-names>L. A.</given-names>
          </string-name>
          <string-name>
            <surname>Monroy-Gómez-Franco</surname>
          </string-name>
          ,
          <article-title>La relación entre crecimiento económico y pobreza en méxico</article-title>
          ,
          <source>Investigación económica 75</source>
          (
          <year>2016</year>
          )
          <fpage>77</fpage>
          -
          <lpage>113</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref39">
        <mixed-citation>
          [39]
          <string-name>
            <given-names>S.</given-names>
            <surname>Pérez Medina</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L. F.</given-names>
            <surname>Fargher</surname>
          </string-name>
          , Uso de los parques recreativos en mérida, yucatán,
          <source>Estudios demográficos y urbanos 31</source>
          (
          <year>2016</year>
          )
          <fpage>775</fpage>
          -
          <lpage>810</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref40">
        <mixed-citation>
          [40]
          <string-name>
            <given-names>G.</given-names>
            <surname>Vargas-Cetina</surname>
          </string-name>
          ,
          <article-title>The life delicious: Taste and politics in mérida, yucatán</article-title>
          , Taste, Politics, and Identities in Mexican Food (
          <year>2019</year>
          )
          <fpage>115</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref41">
        <mixed-citation>
          [41]
          <string-name>
            <given-names>H.</given-names>
            <surname>Cabello-Rangel</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. E.</given-names>
            <surname>Márquez-Caraveo</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L.</given-names>
            <surname>Díaz-Castro</surname>
          </string-name>
          ,
          <article-title>Suicide rate, depression and the human development index: an ecological study from mexico, Frontiers in public health 8 (</article-title>
          <year>2020</year>
          )
          <fpage>561966</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref42">
        <mixed-citation>
          [42]
          <string-name>
            <given-names>M. A.</given-names>
            <surname>Salinero-Fort</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Jiménez-García</surname>
          </string-name>
          , C. de
          <string-name>
            <surname>Burgos-Lunar</surname>
            ,
            <given-names>R. M.</given-names>
          </string-name>
          <string-name>
            <surname>Chico-Moraleja</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          <article-title>GómezCampelo, Common mental disorders in primary health care: diferences between latin americanborn and spanish-born residents in madrid, spain</article-title>
          ,
          <source>Social psychiatry and psychiatric epidemiology 50</source>
          (
          <year>2015</year>
          )
          <fpage>429</fpage>
          -
          <lpage>443</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref43">
        <mixed-citation>
          [43]
          <string-name>
            <given-names>H.</given-names>
            <surname>Erskine</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Baxter</surname>
          </string-name>
          , G. Patton,
          <string-name>
            <given-names>T.</given-names>
            <surname>Mofitt</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Patel</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Whiteford</surname>
          </string-name>
          ,
          <string-name>
            <surname>J. Scott,</surname>
          </string-name>
          <article-title>The global coverage of prevalence data for mental disorders in children and adolescents</article-title>
          ,
          <source>Epidemiology and psychiatric sciences 26</source>
          (
          <year>2017</year>
          )
          <fpage>395</fpage>
          -
          <lpage>402</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref44">
        <mixed-citation>
          [44]
          <string-name>
            <given-names>J. S. R.</given-names>
            <surname>Mahmoud</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Staten</surname>
          </string-name>
          ,
          <string-name>
            <given-names>L. A.</given-names>
            <surname>Hall</surname>
          </string-name>
          ,
          <string-name>
            <given-names>T. A.</given-names>
            <surname>Lennie</surname>
          </string-name>
          ,
          <article-title>The relationship among young adult college students' depression, anxiety, stress, demographics, life satisfaction, and coping styles</article-title>
          ,
          <source>Issues in mental health nursing 33</source>
          (
          <year>2012</year>
          )
          <fpage>149</fpage>
          -
          <lpage>156</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref45">
        <mixed-citation>
          [45]
          <string-name>
            <given-names>J.</given-names>
            <surname>Velten</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Bieda</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Scholten</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Wannemüller</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Margraf</surname>
          </string-name>
          ,
          <article-title>Lifestyle choices and mental health: a longitudinal survey with german and chinese students</article-title>
          ,
          <source>BMC Public Health</source>
          <volume>18</volume>
          (
          <year>2018</year>
          )
          <fpage>1</fpage>
          -
          <lpage>15</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref46">
        <mixed-citation>
          [46]
          <string-name>
            <given-names>G.</given-names>
            <surname>Gobbi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>T.</given-names>
            <surname>Atkin</surname>
          </string-name>
          ,
          <string-name>
            <given-names>T.</given-names>
            <surname>Zytynski</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Wang</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Askari</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Boruf</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
            <surname>Ware</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Marmorstein</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Cipriani</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Dendukuri</surname>
          </string-name>
          , et al.,
          <article-title>Association of cannabis use in adolescence and risk of depression, anxiety, and suicidality in young adulthood: a systematic review and meta-analysis</article-title>
          ,
          <source>JAMA psychiatry 76</source>
          (
          <year>2019</year>
          )
          <fpage>426</fpage>
          -
          <lpage>434</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>