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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>How Mental Factors Affect Psychomotor Skill Learning and Training and How to Measure Them: Running Case</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Fernando Pedro Cardenas-Hernandez</string-name>
          <email>f.cardenas-hernandez@dipf.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jan Schneider</string-name>
          <email>j.schneider@dipf.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Information Center for Education, DIPF Leibniz Institute for Research and Information in Education</institution>
          ,
          <addr-line>6032, Frankfurt am Main</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Mental aspect is important for the overall learning and training of psychomotor skills such as running. To enhance the performance of a runner, it is crucial to identify and measure the relevant mental factors that influence their learning and training processes. This paper explores and describes mental factors that running experts consider essential and suggests common approaches to assess them. We also review some psychological theories and frameworks that can guide research in this field.</p>
      </abstract>
      <kwd-group>
        <kwd>1 Mental Aspect</kwd>
        <kwd>Measurement</kwd>
        <kwd>Running</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>As long- and middle-distance running are endurance sports, runners experience diverse sensations
during training and competition; for example, muscle pain, injury-related pain, heavy breathing and
cramping discomfort. Moreover, during a race they must make quick challenging pacing decisions
based not only on their current performance but also that of others [1]. In the same extension, it is
unquestionable that mental or psychological factors exert an influence on the actions of sportspeople
both the training and competition phases, then, it is crucial to gradually reach the optimal mental or
psychological state for athletes so they can exhibit and maintain a top performance.</p>
      <p>In this workshop paper, we present factors altering runner’s performance that must be considered
for the mental training of athletes in this sport discipline based on running experts’ opinions. We also
mention common methods to measure them.</p>
    </sec>
    <sec id="sec-2">
      <title>Methods</title>
      <p>Psychological factors have a significant impact on runners' performance. Therefore, we collected
the most important ones that runners should focus on, according to running experts. To achieve this, we
conducted interviews with running coaches.
2.1.</p>
    </sec>
    <sec id="sec-3">
      <title>Running coach interviews</title>
      <p>We interviewed eleven running coaches from seven different countries. They had an average of 14
years of coaching experience. The interviews lasted about an hour each and were recorded with the
interviewees' permission for further analysis.</p>
      <p>The interviews sought to capture the coaches' opinions on the complexity of the running
learning/training process and its associated factors.</p>
      <p>Two researchers analyzed the interviews following these steps. First, we identified and coded
concepts and ideas from the coaches' statements. Next, we ranked the coded concepts and ideas by their
frequency and importance to the coaches. This analysis enabled us to derive key insights into the mental
aspects and their factors in running training.</p>
    </sec>
    <sec id="sec-4">
      <title>3. Results</title>
      <p>From the analysis of the running coach interviews, we identified the following factors of the mental
aspect: mental stress, and depression, which are usually negative; and motivation, concentration,
selfefficacy, self-regulation, mental load-mental fatigue-mental recovery, and mental toughness, which are
neutral and can be turned into positive factors that enhance the runner's mental improvement. Preventing
these negative factors is not only important for the athletes' performance, but also for their mental
wellbeing. In the next subsections, we define the identified mental factors and how they are usually
measured in research on this topic.
3.1.</p>
    </sec>
    <sec id="sec-5">
      <title>Mental Stress</title>
      <p>It can be defined as a psychological state normally initiating an increased perceived anxiety related
to the performance of a task [2, 3]. Besides, it is important to emphasize that due to the intrinsic duality
between stress-anxiety, many theories and studies on stress mostly focus on the anxiety element [4, 5,
6]. Fear of failure, inadequate preparation and physical state, social evaluation, and unforeseen events
are the most common sources of mental stress [5]. Curiously, and although anxiety associated with
stress is seen as a negative attribute, it can also lead to better athletic performance depending on the
athlete's personal capabilities to cope with stressful conditions [2] since it triggers the adaptation to
these demands [7]. Anxiety consists mainly of two elements: a cognitive component referring to the
mental response, and a somatic component enclosing the physical response [2].</p>
      <p>Stress can be measured by physiological and psychological methods. Physiological methods involve
markers such as blood pressure, heart rate, respiration rate, body temperature, galvanic skin response,
and muscular and brain-wave activity. Psychological methods include questionnaires, scales, interviews
and tests such as the perceived stress scale, the psychological stress measure, and the emotional stress
reaction questionnaire [7].
3.2.</p>
    </sec>
    <sec id="sec-6">
      <title>Depression</title>
      <p>The depression is a mental health problem where biological, psychological and social reasons play
a decisive role in its triggering, it is characterized by fatigue, apathy, sleep and appetite disturbance;
factors such as overtraining, perfectionism, loss of competition, conflicts with trainers, recent injuries,
career termination and costs of the exercise are common depression sources in elite athletes [10, 11].
Injuries as a cause of depression [12], differentiation of gender [13] and differentiation of disciplines
[14] are some useful qualities to evaluate depression in sports. Besides, the diathesis-stress model offers
an alternative to explain the development of depression [15].</p>
      <p>Depression is traditionally measured through scales that have psychological validation, however,
only 5 are the most used, among which the Beck depression inventory and the Hamilton rating scale for
depression stand out [16].</p>
      <p>To the best of our knowledge, there are no completely reliable physiological markers that assess or
predict depression, however, some researchers proposed the use of wearable devices to find correlation
between physiological and behavioral response, for instance, the LiveNet [17], and the PSYCHE
platforms [18].</p>
    </sec>
    <sec id="sec-7">
      <title>Mental Load - Mental Fatigue - Mental Recovery</title>
      <p>Mental load or cognitive load (CL) is the amount of available mental/cognitive resources that are
invested in solving the demands imposed by a task; if these resources are depleted, mental fatigue can
occur [19]. This definition is influenced by the cognitive load theory which proposes the existence of
limited cognitive-processing capacities and cognitive resources and its implications in the performance
of single or multiple tasks [20, 21]. On the other hand, in ergonomics and human factors, the term
mental workload (MWL) has a similar meaning given it refers to the limitations of the human mental
architecture and its cognitive capacities [22]. Under the MWL perspective, it is feasible to identify its
relationship with the person/user/operator performance because they have a cause and effect
relationship; two main causes of mental underperformance and their connected errors and incidents
correspond to too low (underload) and too much (overload) stimulation [23]. In the sports domain, the
CL load depends both on the properties of the task at hand and the interactions with its environment
and also on individual factors such as mental effort or cognitive capacity to dynamically adjust to the
demands of the task [24]. In team sports, the constant and dynamic interaction between members of the
same team and those of their opponents requires making use of mental resources to adjust to
circumstances of that moment, however, in individual sports athletes “indirectly” interact with other
competitors; athletes regulated their pacing strategies as a consequence of the presence of competitors,
since this pacing could be perceived as a learning capacity [25]. For runners, an increase in CL leads to
a bad control of the pacing strategy and decrease in the voluntary running speed [26, 27]. Feedback and
information recall also play central roles since athletes listen to, comprehend and respond to sources of
feedback (i.e. coaches’ instructions) and they also must recall tactics and experiences to apply them
[24].</p>
      <p>NASA Task Load Index, Subjective Workload Assessment Technique, Workload Profile are
examples of assessment relying on rating or scoring MWL subjectively [28]. Common physiological
methods to measure MWL physiologically use electrocardiac activity, respiration, blood pressure, and
skin, ocular and brain measures [29].</p>
      <p>Mental fatigue or cognitive fatigue is a type of fatigue which is induced by long periods of
demanding mental activities generating a decrease in the athlete’s performance [30]. Mental fatigue
reduces the athletes’ physical and cognitive performance through the alteration of all motivational
factors pushing athletes to reach their goals; concretely, the mental fatigue can both increase the
perception of effort to realize an activity, and decrease the perception of the benefit/reward that can be
gained [31]. Additionally, it worsens athletes’ performance via the depletion/failure of the limited
cognitive resources due to the influence of tactical tasks and training regimes [32]. Some particular
negative effects on working memory, judgment and attention [33], and technical skills of athletes [34]
are also connected with this fatigue. It also reduces physical and decision-making performance [35].</p>
      <p>The evaluation of mental fatigue can be done by subjective assessment and physiological methods.
EEG [36], ocular [37], cardiac activity [38] are among the physiological methods commonly used for
its measurement. As for the subjective methods, we can mention Mental Fatigue Scale [39], visual
analog fatigue scale [40], and the fatigue severity scale [41].</p>
      <p>Mental recovery or cognitive recovery is a restorative process which is used to return to the original
mental baseline that existed prior to training or competition, and is achieved by the use of psychological
strategies such as cognitive self-regulation, resource activation, and psychological relaxation techniques
[42, 43]. Mental recovery strategies can be categorized into psychologically-oriented strategies and
“other” strategies (e.g. restorative environment and music) [43].</p>
      <p>To the best of our knowledge, there is no proper indicator that has been defined exclusively to
measure the degree of cognitive recovery after cognitive fatigue, however, EEG sensors have also been
used to measure indirectly the degree of recovery after cognitively fatiguing tasks, suggesting that alpha
and theta brain waves may be used as indicators of mental recovery after cognitive fatigue [44].</p>
    </sec>
    <sec id="sec-8">
      <title>Concentration-Attention</title>
      <p>Concentration is an attentional process that involves the ability to optimally focus on a given task
while ignoring distractions [45]. This attentional process accounts for selectivity of information
processing, intensity of focus, consciousness and/or the allocation of a limited resource capacity to cope
with ongoing cognitive demands. On the other hand, attention is defined as people’s ability to focus on
information originating either from the external world or from internal sources [46, 47]. In turn,
attention encompasses (at least) three components or dimensions: concentration or effortful awareness,
selective perception and divided attention. Hence, the concepts of concentration and attention are
strongly correlated and mutually reinforcing.</p>
      <p>The assessing of attention and its implicated concentration through subjective methods such as
questionnaires is common. Some questionnaires used in physical activities and sports are the test of
attentional and interpersonal style [48], and the thought occurrence questionnaire for sport [49].
Objective measurements to monitor the level of attention by means of devices, commonly use functional
magnetic resonance imaging [50], EEG sensors [51], ECG sensors [52], or ocular activity [53, 54].
3.5.</p>
    </sec>
    <sec id="sec-9">
      <title>Motivation</title>
      <p>Motivation is a process that influences the initiation, direction, magnitude, perseverance,
continuation, and quality of goal-directed behavior. In sports psychology, the achievement goal theory
and the self-determination theory are among those that acquire greater relevance [55].</p>
      <p>To measure motivation, subjective assessments are typically used; six of the most cited motivation
in sport are Sport Motivation Scale, Intrinsic Motivation Inventory, Situational Motivation Scale,
Perceptions of Success Questionnaire, Behavioral Regulation in Sport Questionnaire, and Task and Ego
Orientation in Sport Questionnaire [56].
3.6.</p>
    </sec>
    <sec id="sec-10">
      <title>Self-efficacy</title>
      <p>Self-efficacy is a construct coined by Bandura [57, 58] which refers to a person’s belief in his/her
ability to execute behaviors necessary to produce specific performance achievements. By itself,
selfefficacy is a theory, the self-efficacy theory. Specifically, the construct self-efficacy can also be
interpreted as an evaluation or judgment, through beliefs of perceived abilities, of whether one can
perform the necessary actions such as motor abilities and behaviors to successfully achieve a desired
goal [59]. Self-efficacy beliefs are about “what one thinks one can do, not what one has” [60]; these
beliefs are developed through the cognitive processing of sources of efficacy information, which are
enactive mastery experiences or performance accomplishments, vicarious experiences, imaged
experiences, social or verbal persuasion, and physiological and emotional states. In sport has been
demonstrated, the improvement of self-efficacy through psychological performance enhancement
techniques in motor tasks [61]. Alternatively, mental training techniques such as imagery and self-talk
can also enhance confidence [62].</p>
      <p>Since self-efficacy involves judgments and beliefs, the unique methods to measure it are subjective
assessments; some examples are the sources of sport confidence questionnaire [63], and the
selfefficacy for exercise scale [64].
3.7.</p>
    </sec>
    <sec id="sec-11">
      <title>Self-regulation</title>
      <p>Self-regulation refers to the individual’s ability with its associated processes to adjust the frequency
and intensity of their own behaviors, thoughts, emotions and impulses by management of the
stressload and recovery in service of longer-term goals [65, 66]. The self-regulation construct comes from a
theory with the same name, the self-regulation theory. The process of self-regulation has four main
components: commitment to a standard, monitoring, self-regulatory strength or willpower, and
motivation [67, 68].</p>
      <p>To our knowledge, the only alternatives to wholly measure self-regulation are via subjective
assessments, for instance, the self-regulation questionnaire [69], the self-regulation of learning
selfreport scale [70].
3.8.</p>
    </sec>
    <sec id="sec-12">
      <title>Mental toughness</title>
      <p>Mental toughness can be defined as the mental ability to deal effectively with training and
competition demands in an effort to maintain control of the situation [71]. Some studies, it has been
found the relevance of mental toughness in educational and work settings, as well as mental health,
sleep quality and stress coping [72].</p>
      <p>The most preferred conceptual framework for its study finds its basics on the 4C’s model which has
four independent components: Control, Commitment, Challenge, and Confidence [73].</p>
      <p>There are no objective indicators for mental toughness; its measurement is subjectively done using
questionnaires, scales or indexes such as the sport mental toughness questionnaire, the mental toughness
scale and the mental toughness index [71, 72].</p>
    </sec>
    <sec id="sec-13">
      <title>4. Conclusions</title>
      <p>Among mental factors that running experts target to improve people’s performance can be evaluated
objectively or subjectively. Objective methods use devices that capture the athlete's physiological
signals, such as EEG and ECG. Subjective methods use tools like questionnaires and scales to generate
a score. However, subjective methods are the only ones that are always available when evaluating
mental factors for the running case. This is because mental factors are interrelated and influence each
other, making it difficult to isolate them by exclusively physiological approaches.</p>
      <p>The theories of self-efficacy, self-regulation, achievement goal and self-determination, as well as
the 4C's model of mental toughness, are some potential approaches to further investigate the identified
mental factors [Figure 1]. Although they can be used as references, it is not excluded the possibility to
use others instead of them. As a future work, we would propose to create a framework that combines
the most appropriate features of each theory to target the mental training of running.</p>
      <p>Self-regulation Theory</p>
      <p>Depression</p>
      <p>Selfregulation
Self-efficacy Theory</p>
      <p>Self-efficacy
4C’s Model</p>
      <p>Mental
toughness</p>
      <p>Mental
Aspect of</p>
      <p>
        Running
5. References
[22] Orru, G., &amp; Longo, L. (2019). The Evolution of Cognitive Load Theory and the Measurement of
Its Intrinsic, Extraneous and Germane Loads: A Review (pp. 23–48).
https://doi.org/10.1007/9783-030-14273-5_3
[23] Young, M. S., Brookhuis, K. A., Wickens, C. D., &amp; Hancock, P. A. (2015). State of science: mental
workload in ergonomics. Ergonomics, 58(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 1–17.
https://doi.org/10.1080/00140139.2014.956151
[24] Russell, S., Kelly, V. G., Halson, S. L., &amp; Jenkins, D. G. (2020). Cognitive Load in Sport. In
      </p>
      <p>
        Human Factors and Ergonomics in Sport (1st ed., pp. 181–200). CRC Press.
[25] Konings, M. J., &amp; Hettinga, F. J. (2018). Pacing Decision Making in Sport and the Effects of
Interpersonal Competition: A Critical Review. Sports Medicine, 48(
        <xref ref-type="bibr" rid="ref8">8</xref>
        ), 1829–1843.
https://doi.org/10.1007/s40279-018-0937-x
[26] Blakely, M. J., Wilson, K., Russell, P. N., &amp; Helton, W. S. (2016). The Impact of Cognitive Load
on Volitional Running. Proceedings of the Human Factors and Ergonomics Society Annual
Meeting, 60(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 1179–1183. https://doi.org/10.1177/1541931213601276
[27] McCarron, J., Hodgson, T., &amp; Smith, M. (2013). Brain drain: evaluating the impact of increased
cognitive load during self-paced running performance. British Journal of Sports Medicine, 47(
        <xref ref-type="bibr" rid="ref17">17</xref>
        ),
e4.38-e4. https://doi.org/10.1136/bjsports-2013-093073.43
[28] Rubio, S., Diaz, E., Martin, J., &amp; Puente, J. M. (2004). Evaluation of Subjective Mental Workload:
A Comparison of SWAT, NASA-TLX, and Workload Profile Methods. Applied Psychology,
53(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 61–86. https://doi.org/10.1111/j.1464-0597.2004.00161.x
[29] Charles, R. L., &amp; Nixon, J. (2019). Measuring mental workload using physiological measures: A
systematic review. Applied Ergonomics, 74, 221–232.
https://doi.org/10.1016/j.apergo.2018.08.028
[30] Pageaux, B., &amp; Lepers, R. (2018). The effects of mental fatigue on sport-related performance (pp.
      </p>
      <p>291–315). https://doi.org/10.1016/bs.pbr.2018.10.004
[31] Schiphof-Godart, L., Roelands, B., &amp; Hettinga, F. J. (2018). Drive in Sports: How Mental Fatigue
Affects Endurance Performance. Frontiers in Psychology, 9.
https://doi.org/10.3389/fpsyg.2018.01383
[32] Sansone, P., Tessitore, A., Lukonaitiene, I., Paulauskas, H., Tschan, H., &amp; Conte, D. (2020).</p>
      <p>
        Technical-tactical profile, perceived exertion, mental demands and enjoyment of different tactical
tasks and training regimes in basketball small-sided games. Biology of Sport, 37(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 15–23.
https://doi.org/10.5114/biolsport.2020.89937
[33] Lee, K. F. A., Gan, W.-S., &amp; Christopoulos, G. (2021). Biomarker-Informed Machine Learning
Model of Cognitive Fatigue from a Heart Rate Response Perspective. Sensors, 21(
        <xref ref-type="bibr" rid="ref11">11</xref>
        ), 3843.
https://doi.org/10.3390/s21113843
[34] Sun, H., Soh, K. G., Roslan, S., Wazir, M. R. W. N., &amp; Soh, K. L. (2021). Does mental fatigue
affect skilled performance in athletes? A systematic review. PLOS ONE, 16(
        <xref ref-type="bibr" rid="ref10">10</xref>
        ), e0258307.
https://doi.org/10.1371/journal.pone.0258307
[35] Schapschröer, M., Lemez, S., Baker, J., &amp; Schorer, J. (2016). Physical Load Affects
PerceptualCognitive Performance of Skilled Athletes: a Systematic Review. Sports Medicine - Open, 2(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ),
37. https://doi.org/10.1186/s40798-016-0061-0
[36] Cheng, S.-Y., &amp; Hsu, H.-T. (2011). Mental Fatigue Measurement Using EEG. In Risk Management
      </p>
      <p>
        Trends. InTech. https://doi.org/10.5772/16376
[37] Bafna, T., &amp; Hansen, J. P. (2021). Mental fatigue measurement using eye metrics: A systematic
literature review. Psychophysiology, 58(
        <xref ref-type="bibr" rid="ref6">6</xref>
        ). https://doi.org/10.1111/psyp.13828
[38] Huang, S., Li, J., Zhang, P., &amp; Zhang, W. (2018). Detection of mental fatigue state with wearable
ECG devices. International Journal of Medical Informatics, 119, 39–46.
https://doi.org/10.1016/j.ijmedinf.2018.08.010
[39] Birgitta Johansson, L. R. (2013). Evaluation of the Mental Fatigue Scale and its relation to
Cognitive and Emotional Functioning after Traumatic Brain Injury or Stroke. International
Journal of Physical Medicine &amp; Rehabilitation, 02(01).
https://doi.org/10.4172/23299096.1000182
[40] Lee, K. A., Hicks, G., &amp; Nino-Murcia, G. (1991). Validity and reliability of a scale to assess
fatigue. Psychiatry Research, 36(
        <xref ref-type="bibr" rid="ref3">3</xref>
        ), 291–298. https://doi.org/10.1016/0165-1781(91)90027-M
[41] Krupp, L. B. (1989). The Fatigue Severity Scale. Archives of Neurology, 46(
        <xref ref-type="bibr" rid="ref10">10</xref>
        ), 1121.
      </p>
      <p>
        https://doi.org/10.1001/archneur.1989.00520460115022
[42] Kellmann, M., Bertollo, M., Bosquet, L., Brink, M., Coutts, A. J., Duffield, R., Erlacher, D.,
Halson, S. L., Hecksteden, A., Heidari, J., Kallus, K. W., Meeusen, R., Mujika, I., Robazza, C.,
Skorski, S., Venter, R., &amp; Beckmann, J. (2018). Recovery and Performance in Sport: Consensus
Statement. International Journal of Sports Physiology and Performance, 13(
        <xref ref-type="bibr" rid="ref2">2</xref>
        ), 240–245.
https://doi.org/10.1123/ijspp.2017-0759
[43] Loch, F., Ferrauti, A., Meyer, T., Pfeiffer, M., &amp; Kellmann, M. (2019). Resting the mind – A novel
topic with scarce insights. Considering potential mental recovery strategies for short rest periods
in sports. Performance Enhancement &amp; Health, 6(
        <xref ref-type="bibr" rid="ref3 ref4">3–4</xref>
        ), 148–155.
https://doi.org/10.1016/j.peh.2019.04.002
[44] Jacquet, T., Poulin-Charronnat, B., Bard, P., &amp; Lepers, R. (2021). Persistence of Mental Fatigue
on Motor Control. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.588253
[45] Moran, A. (2012). Concentration: Attention and Performance. Oxford University Press.
      </p>
      <p>https://doi.org/10.1093/oxfordhb/9780199731763.013.0006
[46] Moran, A. (2017). Attention and Concentration Training in Sport☆. In Reference Module in
Neuroscience and Biobehavioral Psychology. Elsevier.
https://doi.org/10.1016/B978-0-12809324-5.05476-6
[47] Moran, A., &amp; Toner, J. (2017). A Critical Introduction to Sport Psychology. Routledge.</p>
      <p>https://doi.org/10.4324/9781315657974
[48] Nideffer, R. M. (1976). Test of attentional and interpersonal style. Journal of Personality and</p>
      <p>
        Social Psychology, 34(
        <xref ref-type="bibr" rid="ref3">3</xref>
        ), 394–404. https://doi.org/10.1037/0022-3514.34.3.394
[49] Hatzigeorgiadis, A., &amp; Biddle, S. J. H. (2000). Assessing cognitive interference in sport:
Development of the thought occurrence questionnaire for sport. Anxiety, Stress &amp; Coping, 13(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ),
65–86. https://doi.org/10.1080/10615800008248334
[50] Mather, M., Cacioppo, J. T., &amp; Kanwisher, N. (2013). How fMRI Can Inform Cognitive Theories.
      </p>
      <p>
        Perspectives on Psychological Science, 8(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 108–113.
https://doi.org/10.1177/1745691612469037
[51] Cooke, A. (2013). Readying the head and steadying the heart: a review of cortical and cardiac
studies of preparation for action in sport. International Review of Sport and Exercise Psychology,
6(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 122–138. https://doi.org/10.1080/1750984X.2012.724438
[52] Belle, A., Hargraves, R. H., &amp; Najarian, K. (2012). An Automated Optimal Engagement and
Attention Detection System Using Electrocardiogram. Computational and Mathematical Methods
in Medicine, 2012, 1–12. https://doi.org/10.1155/2012/528781
[53] Duchowski, A. (2007). Eye Tracking Methodology. Springer London.
https://doi.org/10.1007/9781-84628-609-4
[54] Moran, A., Quinn, A., Campbell, M., Rooney, B., Brady, N., &amp; Burke, C. (2016). Using
pupillometry to evaluate attentional effort in quiet eye: A preliminary investigation. Sport,
Exercise, and Performance Psychology, 5(
        <xref ref-type="bibr" rid="ref4">4</xref>
        ), 365–376. https://doi.org/10.1037/spy0000066
[55] Roberts, G. C., Nerstad, C. G. L., &amp; Lemyre, P. N. (2018). Motivation in Sport and Performance.
      </p>
      <p>In Oxford Research Encyclopedia of Psychology. Oxford University Press.
https://doi.org/10.1093/acrefore/9780190236557.013.150
[56] Clancy, R. B., Herring, M. P., &amp; Campbell, M. J. (2017). Motivation Measures in Sport: A Critical
Review and Bibliometric Analysis. Frontiers in Psychology, 8.
https://doi.org/10.3389/fpsyg.2017.00348
[57] Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological</p>
      <p>
        Review, 84(
        <xref ref-type="bibr" rid="ref2">2</xref>
        ), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
[58] Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
[59] Gallagher, M. W. (2012). Self-Efficacy. In Encyclopedia of Human Behavior (pp. 314–320).
      </p>
      <p>Elsevier. https://doi.org/10.1016/B978-0-12-375000-6.00312-8
[60] Feltz, D. L., &amp; Lirgg, C. D. (2001). Self-efficacy Beliefs of Athletes, Teams, and Coaches. In R.</p>
      <p>
        N. Singer, H. A. Hausenblas, &amp; C. Janelle (Eds.), Handbook of Sport Psychology (2nd ed., pp.
340–361). John Wiley &amp; Sons.
[61] Wright, B. J., O’Halloran, P. D., &amp; Stukas, A. A. (2016). Enhancing Self-Efficacy and
Performance: An Experimental Comparison of Psychological Techniques. Research Quarterly for
Exercise and Sport, 87(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 36–46. https://doi.org/10.1080/02701367.2015.1093072
[62] Vealey, R. S. (2009). Confidence in Sport. In B. W. Brewer (Ed.), Sport Psychology (pp. 43–52).
      </p>
      <p>
        Wiley-Blackwell. https://doi.org/10.1002/9781444303650.ch5
[63] Vealey, R. S., Garner-Holman, M., Hayashi, S. W., &amp; Giacobbi, P. (1998). Sources of
SportConfidence: Conceptualization and Instrument Development. Journal of Sport and Exercise
Psychology, 20(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 54–80. https://doi.org/10.1123/jsep.20.1.54
[64] Resnick, B., &amp; Jenkins, L. S. (2000). Testing the Reliability and Validity of the Self-Efficacy for
Exercise Scale. Nursing Research, 49(
        <xref ref-type="bibr" rid="ref3">3</xref>
        ), 154–159.
https://doi.org/10.1097/00006199-20000500000007
[65] Eisenberg, I. W., Bissett, P. G., Zeynep Enkavi, A., Li, J., MacKinnon, D. P., Marsch, L. A., &amp;
Poldrack, R. A. (2019). Uncovering the structure of self-regulation through data-driven ontology
discovery. Nature Communications, 10(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 2319. https://doi.org/10.1038/s41467-019-10301-1
[66] Shanker, S. (2016, July 11). Self-Regulation vs. Self-Control - The reason for the profound
differences lies deep inside the brain. Psychology Today.
https://www.psychologytoday.com/us/blog/self-reg/201607/self-regulation-vs-self-control
[67] Baumeister, R. F., &amp; Vohs, K. D. (2007). Self-Regulation, Ego Depletion, and Motivation. Social
and Personality Psychology Compass, 1(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 115–128.
https://doi.org/10.1111/j.17519004.2007.00001.x
[68] Baumeister, R. F., Vohs, K. D., &amp; Tice, D. M. (2007). The Strength Model of Self-Control. Current
Directions in Psychological Science, 16(
        <xref ref-type="bibr" rid="ref6">6</xref>
        ), 351–355.
https://doi.org/10.1111/j.14678721.2007.00534.x
[69] Brown, J. M., Miller, W. R., &amp; Lawendowski, L. A. (1999). The self-regulation questionnaire. In
VandeCreek L. &amp; T. L. Jackson (Eds.), Innovations in clinical practice: A source book (Vol. 17,
pp. 281–292). Professional Resource Press/Professional Resource Exchange.
[70] Toering, T., Elferink-Gemser, M. T., Jonker, L., van Heuvelen, M. J. G., &amp; Visscher, C. (2012).
      </p>
      <p>
        Measuring self-regulation in a learning context: Reliability and validity of the Self-Regulation of
Learning Self-Report Scale (SRL-SRS). International Journal of Sport and Exercise Psychology,
10(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 24–38. https://doi.org/10.1080/1612197X.2012.645132
[71] Liew, G. C., Kuan, G., Chin, N. S., &amp; Hashim, H. A. (2019). Mental toughness in sport. German
Journal of Exercise and Sport Research, 49(
        <xref ref-type="bibr" rid="ref4">4</xref>
        ), 381–394.
https://doi.org/10.1007/s12662-01900603-3
[72] Lin, Y., Mutz, J., Clough, P. J., &amp; Papageorgiou, K. A. (2017). Mental Toughness and Individual
Differences in Learning, Educational and Work Performance, Psychological Well-being, and
Personality: A Systematic Review. Frontiers in Psychology, 8.
https://doi.org/10.3389/fpsyg.2017.01345
[73] Gucciardi, D. F. (2020). Mental Toughness. In Handbook of Sport Psychology (pp. 101–120).
      </p>
      <p>Wiley. https://doi.org/10.1002/9781119568124.ch6</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>McCormick</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Meijen</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Anstiss</surname>
            ,
            <given-names>P. A.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Jones</surname>
            ,
            <given-names>H. S.</given-names>
          </string-name>
          (
          <year>2019</year>
          ).
          <article-title>Self-regulation in endurance sports: theory, research, and practice</article-title>
          .
          <source>International Review of Sport and Exercise Psychology</source>
          ,
          <volume>12</volume>
          (
          <issue>1</issue>
          ),
          <fpage>235</fpage>
          -
          <lpage>264</lpage>
          . https://doi.org/10.1080/1750984X.
          <year>2018</year>
          .1469161
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Ford</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ildefonso</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Jones</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Arvinen-Barrow</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          (
          <year>2017</year>
          ).
          <article-title>Sport-related anxiety: current insights</article-title>
          .
          <source>Open Access Journal of Sports Medicine</source>
          , Volume
          <volume>8</volume>
          ,
          <fpage>205</fpage>
          -
          <lpage>212</lpage>
          . https://doi.org/10.2147/OAJSM.S125845
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>Hardy</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          (
          <year>1992</year>
          ).
          <article-title>Psychological stress, performance, and injury in sport</article-title>
          .
          <source>British Medical Bulletin</source>
          ,
          <volume>48</volume>
          (
          <issue>3</issue>
          ),
          <fpage>615</fpage>
          -
          <lpage>629</lpage>
          . https://doi.org/10.1093/oxfordjournals.bmb.a072567
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <surname>Graydon</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2002</year>
          ).
          <article-title>Stress and anxiety in sport</article-title>
          .
          <source>The Psychologist</source>
          ,
          <volume>15</volume>
          (
          <issue>8</issue>
          ),
          <fpage>408</fpage>
          -
          <lpage>410</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <surname>Hardy</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          (
          <year>1999</year>
          ).
          <article-title>Stress, anxiety and performance</article-title>
          .
          <source>Journal of Science and Medicine in Sport</source>
          ,
          <volume>2</volume>
          (
          <issue>3</issue>
          ),
          <fpage>227</fpage>
          -
          <lpage>233</lpage>
          . https://doi.org/10.1016/S1440-
          <volume>2440</volume>
          (
          <issue>99</issue>
          )
          <fpage>80175</fpage>
          -
          <lpage>3</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>Tanguy</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sagui</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fabien</surname>
            ,
            <given-names>Z.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Martin-Krumm</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Canini</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Trousselard</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          (
          <year>2018</year>
          ).
          <article-title>Anxiety and Psycho-Physiological Stress Response to Competitive Sport Exercise</article-title>
          . Frontiers in Psychology,
          <volume>9</volume>
          . https://doi.org/10.3389/fpsyg.
          <year>2018</year>
          .01469
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Figueroa-Fankhanel</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          (
          <year>2014</year>
          ).
          <source>Measurement of Stress. Psychiatric Clinics of North America</source>
          ,
          <volume>37</volume>
          (
          <issue>4</issue>
          ),
          <fpage>455</fpage>
          -
          <lpage>487</lpage>
          . https://doi.org/10.1016/j.psc.
          <year>2014</year>
          .
          <volume>08</volume>
          .001
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Parnabas</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Parnabas</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Parnabas</surname>
            ,
            <given-names>A. M.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>The Effect of Cognitive Anxiety on Sport Performances among Football Players</article-title>
          .
          <source>The International Journal of Indian Psychology</source>
          ,
          <volume>2</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <surname>Steptoe</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Moses</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Edwards</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          (
          <year>1990</year>
          ).
          <article-title>Age-related differences in cardiovascular reactions to mental stress tests in women</article-title>
          .
          <source>Health Psychology</source>
          ,
          <volume>9</volume>
          (
          <issue>1</issue>
          ),
          <fpage>18</fpage>
          -
          <lpage>34</lpage>
          . https://doi.org/10.1037/
          <fpage>0278</fpage>
          -
          <lpage>6133</lpage>
          .9.1.
          <fpage>18</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <surname>Nixdorf</surname>
            ,
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Frank</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Beckmann</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>An Explorative Study on Major Stressors and Its Connection to Depression and Chronic Stress among German Elite Athletes</article-title>
          .
          <source>Advances in Physical Education</source>
          ,
          <volume>05</volume>
          (
          <issue>04</issue>
          ),
          <fpage>255</fpage>
          -
          <lpage>262</lpage>
          . https://doi.org/10.4236/ape.
          <year>2015</year>
          .54030
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <surname>Wolanin</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gross</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Hong</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>Depression in Athletes</article-title>
          .
          <source>Current Sports Medicine Reports</source>
          ,
          <volume>14</volume>
          (
          <issue>1</issue>
          ),
          <fpage>56</fpage>
          -
          <lpage>60</lpage>
          . https://doi.org/10.1249/JSR.0000000000000123
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <surname>Gouttebarge</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Frings-Dresen</surname>
            ,
            <given-names>M. H. W.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Sluiter</surname>
            ,
            <given-names>J. K.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>Mental and psychosocial health among current and former professional footballers</article-title>
          .
          <source>Occupational Medicine</source>
          ,
          <volume>65</volume>
          (
          <issue>3</issue>
          ),
          <fpage>190</fpage>
          -
          <lpage>196</lpage>
          . https://doi.org/10.1093/occmed/kqu202
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <surname>Junge</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Feddermann-Demont</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          (
          <year>2016</year>
          ).
          <article-title>Prevalence of depression and anxiety in top-level male and female football players</article-title>
          .
          <source>BMJ Open Sport &amp; Exercise Medicine</source>
          ,
          <volume>2</volume>
          (
          <issue>1</issue>
          ),
          <year>e000087</year>
          . https://doi.org/10.1136/bmjsem-2015
          <source>-000087</source>
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [14]
          <string-name>
            <surname>Nixdorf</surname>
            ,
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Frank</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hautzinger</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Beckmann</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2013</year>
          ).
          <article-title>Prevalence of Depressive Symptoms and Correlating Variables Among German Elite Athletes</article-title>
          .
          <source>Journal of Clinical Sport Psychology</source>
          ,
          <volume>7</volume>
          (
          <issue>4</issue>
          ),
          <fpage>313</fpage>
          -
          <lpage>326</lpage>
          . https://doi.org/10.1123/jcsp.7.4.
          <fpage>313</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          [15]
          <string-name>
            <surname>Nixdorf</surname>
            ,
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Beckmann</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Nixdorf</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          (
          <year>2020</year>
          ).
          <article-title>Psychological Predictors for Depression and Burnout Among German Junior Elite Athletes</article-title>
          . Frontiers in Psychology,
          <volume>11</volume>
          . https://doi.org/10.3389/fpsyg.
          <year>2020</year>
          .00601
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [16]
          <string-name>
            <surname>Santor</surname>
            ,
            <given-names>D. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gregus</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Welch</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          (
          <year>2006</year>
          ).
          <article-title>Focus Article: Eight Decades of Measurement in Depression</article-title>
          .
          <source>Measurement: Interdisciplinary Research &amp; Perspective</source>
          ,
          <volume>4</volume>
          (
          <issue>3</issue>
          ),
          <fpage>135</fpage>
          -
          <lpage>155</lpage>
          . https://doi.org/10.1207/s15366359mea0403_
          <fpage>1</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          [17]
          <string-name>
            <surname>Sung</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Marci</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Pentland</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          (
          <year>2005</year>
          ).
          <article-title>Wearable feedback systems for rehabilitation</article-title>
          .
          <source>Journal of NeuroEngineering and Rehabilitation</source>
          ,
          <volume>2</volume>
          (
          <issue>1</issue>
          ), 17. https://doi.org/10.1186/
          <fpage>1743</fpage>
          -0003-2-17
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          [18]
          <string-name>
            <surname>Valenza</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gentili</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lanatà</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Scilingo</surname>
            ,
            <given-names>E. P.</given-names>
          </string-name>
          (
          <year>2013</year>
          ).
          <article-title>Mood recognition in bipolar patients through the PSYCHE platform: Preliminary evaluations and perspectives</article-title>
          .
          <source>Artificial Intelligence in Medicine</source>
          ,
          <volume>57</volume>
          (
          <issue>1</issue>
          ),
          <fpage>49</fpage>
          -
          <lpage>58</lpage>
          . https://doi.org/10.1016/j.artmed.
          <year>2012</year>
          .
          <volume>12</volume>
          .001
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          [19]
          <string-name>
            <surname>Fuster</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Caparrós</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Capdevila</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          (
          <year>2021</year>
          ).
          <article-title>Evaluation of cognitive load in team sports: literature review</article-title>
          .
          <source>PeerJ</source>
          ,
          <volume>9</volume>
          , e12045. https://doi.org/10.7717/peerj.12045
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          [20]
          <string-name>
            <surname>Sweller</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>1988</year>
          ).
          <source>Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science</source>
          ,
          <volume>12</volume>
          (
          <issue>2</issue>
          ),
          <fpage>257</fpage>
          -
          <lpage>285</lpage>
          . https://doi.org/10.1207/s15516709cog1202_
          <fpage>4</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          [21]
          <string-name>
            <surname>Sweller</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Chandler</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          (
          <year>1991</year>
          ).
          <article-title>Evidence for Cognitive Load Theory</article-title>
          .
          <source>Cognition and Instruction</source>
          ,
          <volume>8</volume>
          (
          <issue>4</issue>
          ),
          <fpage>351</fpage>
          -
          <lpage>362</lpage>
          . https://doi.org/10.1207/s1532690xci0804_
          <fpage>5</fpage>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>