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  <front>
    <journal-meta>
      <issn pub-type="ppub">1613-0073</issn>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Dress-p.i.n.k.: an easy-to-use digital tool for Health Promotion and Com munity-Based Participatory Prevention of Breast Cancer</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Giada Anastasi</string-name>
          <email>giadaanastasi@cnr.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Daniela Gasperini</string-name>
          <email>danielagasperini@cnr.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Michela Franchini</string-name>
          <email>michela.franchini@cnr.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Stefania Pieroni</string-name>
          <email>stefania.pieroni@cnr.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sabrina Molinaro</string-name>
          <email>sabrina.molinaro@cnr.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Workshop</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>Breast Cancer, Mobile Health, Personalized Medicine</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Francesca Denoth</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Institute of Clinical Physiology, National Research Council</institution>
          ,
          <addr-line>Pisa</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Pisa</institution>
          ,
          <addr-line>Pisa</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Breast cancer is the most common malignancy among women worldwide, and early detection and prevention significantly improve outcomes and reduce healthcare costs. Community-based participatory prevention focuses on population health by addressing changes in the social and physical environment, involving intersectoral action, and highlighting community empowerment. Comprehensive community-based prevention eforts provide interventions that predispose, enable, and reinforce behavioral and social changes by individuals and organizations to achieve successful health outcomes. Innovative digital tools are becoming a central strategy for promoting behavioral population-wide change. This study presents the Dress-p.i.n.k., a mobile health tool based on bot technology designed to (a) collect a large amount of data about the lifestyle habits most related to breast cancer onset, directly provided by the population of adult non-pregnant women in Italy, and (b) provide health promotion messages to increase individual awareness of breast cancer risk factors and promote healthy behaviour changes. By integrating a community-based participatory approach, advanced technology and stringent data privacy measures, Dress-p.i.n.k. exemplifies the potential of digital health tools to increase and advance equity in healthy lifestyle knowledge and adoption, as well as in engaging people to provide primary sources of data for scientific purposes in the field of public health research.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Breast cancer (BC) is the most frequently diagnosed cancer and the leading cause of cancer-related
death among females in Europe. Research indicates that lifestyle modifications can prevent 30-50 %
of cancer cases, making awareness of BC-related risk factors and the promotion of healthy lifestyles
essential strategies to mitigate the disease’s impact [
        <xref ref-type="bibr" rid="ref1 ref2 ref3">1, 2, 3</xref>
        ]. Community-based participatory prevention
aims to empower individuals and groups to control the conditions afecting their health and well-being,
promoting behavioral changes at the population level. Recent studies [
        <xref ref-type="bibr" rid="ref4 ref5">4, 5</xref>
        ] highlight the importance
of enhancing cultural assets to reduce disparities in risk factor awareness, thereby promoting good
health throughout life also through the use of digital tools like mobile apps [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. In this context,
the mobile health tool Dress-p.i.n.k.(“Doing Risk sElf-assessment and Social health Support”) was
developed to collect population-based information on BC and its risk factors, promote health literacy by
      </p>
      <p>CEUR</p>
      <p>ceur-ws.org
disseminating scientific information to enhance knowledge and awareness of these risks, and encourage
active participation in health management. This work aims to present the architecture, study design,
and initial results of Dress-p.i.n.k..</p>
    </sec>
    <sec id="sec-2">
      <title>2. Materials and Methods</title>
      <p>
        The Dress-p.i.n.k. was developed within the Prevention, Imaging, Network, Knowledge (P.I.N.K.)
study [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], a multicentric project involving several diagnostic centers across Italy, coordinated by the
Italian National Research Council and co-funded by the Umberto Veronesi Foundation. The study
aims to identify the most eficient combination of diagnostic imaging techniques for early detection
of BC, while also examining the relationship between personal habits and the risk of developing BC.
Dress-p.i.n.k. focuses on adult non-pregnant women across Italy. It covers diferent factors such
as sleep quality, anxiety, stress, physical activity, nutrition, and food habits. By ofering scheduled
questionnaires over a month, Dress-p.i.n.k. ensures continuous user engagement and sustained data
monitoring. To comply with the General Data Protection Regulation (GDPR), Dress-p.i.n.k. consists of
three components: a Telegram bot (@IFC_PinkBot), a web application, and a NoSQL database. Users
can log in with a username and password to answer questions, review past responses, read privacy
policies, and view lifestyle suggestions, along with user support features.
      </p>
      <p>The DRESS-p.i.n.k. survey spans approximately 26 days and is divided into daily subgroups of 4-6
questions to ensure user compliance. The questionnaires explore four main areas: (a) dietary habits,
(b) personal characteristics and health status, (c) physical activity, and (d) well-being perception [8].
Within the dietary habits section, Dress-p.i.n.k. proposes the Medi-Lite questionnaire [9], which
assesses adherence to the Mediterranean Diet. Users receive a score reflecting their adherence to the
diet, along with evidence-based suggestions for improving their lifestyle and dietary habits. To enhance
communication, responses are illustrated with images [10].</p>
    </sec>
    <sec id="sec-3">
      <title>3. Results</title>
      <p>The Dress-p.i.n.k. has been accessible since April 2024. At the time of writing, the tool has been used by
over 210 women, with more than 64% being below the expected age of 50 for the first mammographic
screening. Approximately 94% of users found the Dress-p.i.n.k. easy to use, with older women
encountering slightly more dificulties. All women over 29 correctly identified the true purpose of the
survey (BC lifestyle-risk relationship). In terms of enhancing health knowledge, the tool significantly
increased awareness among nearly 80% of women, particularly among older participants, by providing
information on personal features and nutritional habits as risk factors for BC. About 94% of women
reported a medium-high level of increased awareness due to the information provided (Figure 1(a)).
The efectiveness of the information in modifying personal characteristics or nutritional habits was
positively assessed across all age groups. Regarding personal characteristics as BC risk factors, women
above 60 reported greater efectiveness of the provided information in increasing knowledge and
awareness rather than in promoting change (high usefulness 83.3% vs 75.0%, respectively). Conversely,
the youngest women found the provided information more efective. The information provided was
highly efective in promoting behavior modification for nutritional habits across all ages (Figure 1(b)).
Additionally, as adherence to the Mediterranean Diet increases, so does the perceived usefulness of the
information for enhancing knowledge, especially among women with high adherence. Women aged
between 50 and 59 (23.4% of users) reported the highest levels of information usefulness, both in terms
of increased knowledge and awareness and behavior change. They also reported a very high adherence
to the Mediterranean Diet and quite 75% of them are in menopause.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Discussion and Conclusions</title>
      <p>Community-based participatory prevention emphasizes the empowerment of individuals to take
responsibility for their health through collaborative eforts. Efective engagement in behavior change requires
targeted health promotion strategies and scientifically validated digital health tools. The Dress-p.i.n.k.
initiative demonstrates how integrating a community-based approach can enhance equity in adopting
healthy lifestyles and involve individuals as primary data sources for public health research. The
tool successfully disseminates health information among female populations, encouraging behavioral
changes. Users across all age groups find the provided information valuable. It also facilitates targeted
health promotion messages based on age, menopausal status, and nutritional habits. In conclusion,
although the user base is currently limited, ongoing data collection shows a commitment to evaluating
efectiveness. Future researches should assess the eficacy of mobile apps in health promotion in
developing countries to expand the reach of tools like Dress-p.i.n.k.
[8] P. J. Norton, Depression anxiety and stress scales (dass-21): Psychometric analysis across four
racial groups, Anxiety, stress, and coping 20 (2007) 253–265.
[9] F. Sofi, M. Dinu, G. Pagliai, R. Marcucci, A. Casini, Validation of a literature-based adherence score
to mediterranean diet: The medi-lite score, International Journal of Food Sciences and Nutrition
68 (2017) 757–762.
[10] P. S. Houts, C. C. Doak, L. G. Doak, M. J. Loscalzo, The role of pictures in improving health
communication: a review of research on attention, comprehension, recall, and adherence, Patient
education and counseling 61 (2006) 173–190.</p>
    </sec>
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