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          Cross-cultural perspectives on young people’s decision-making, adversity, and mental health
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          AHRI.AEDS01-01.AdverseEvents.Dataset
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        <AuthEnty affiliation="Africa Health Research Institute">
          Nompumelelo Mkwanazi
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        <othId role="Data Documentalist" affiliation="Africa Health Research Institute">
          <p>
            Sweetness H Dube
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        </othId>
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          Africa Health Research Institute
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    <citation>
      <titlStmt>
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          Cross-cultural perspectives on young people’s decision-making, adversity, and mental health
        </titl>
        <IDNo>
          AHRI.AEDS01-01.AdverseEvents.Dataset
        </IDNo>
      </titlStmt>
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        <AuthEnty affiliation="Africa Health Research Institute">
          Sweetness Dube
        </AuthEnty>
        <AuthEnty affiliation="Africa Health Research Institute">
          Jaco Dreyer
        </AuthEnty>
        <AuthEnty affiliation="Africa Health Research Institute">
          Nompumelelo Mkwanazi
        </AuthEnty>
        <AuthEnty affiliation="Africa Health Research Institute, University of Oxford">
          Professor Alan Stein
        </AuthEnty>
        <AuthEnty affiliation="University of York">
          Dr MaryAnn Noonan
        </AuthEnty>
        <AuthEnty affiliation="Africa Health Research Institute">
          Dr Nothando Ngwenya
        </AuthEnty>
        <AuthEnty affiliation="University of Oxford">
          Prof Miriam Klein-Fluggë
        </AuthEnty>
        <AuthEnty affiliation="University of Oxford">
          Boluwatife Cole
        </AuthEnty>
        <AuthEnty affiliation="Africa Health Research Institute">
          Carina Herbst
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <producer abbr="AHRI">
          Africa Health Research Institute
        </producer>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="BRC" role="Funder ">
          Biomedical Research Council Depression Therapeutics Pump Priming Award
        </fundAg>
        <fundAg abbr="AfOx" role="Funder ">
          Africa Oxford Catalyst Grant
        </fundAg>
        <fundAg role="Funder ">
          Rhodes Trust
        </fundAg>
      </prodStmt>
      <verStmt>
        <version>
          v1.0.0
        </version>
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      <subject>
        <keyword vocab="Africa Health Research Institute" vocabURI="www.ahri.org">
          Decision-making, adverse childhood events, young people
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        <topcClas vocab="Africa Health Research Institute" vocabURI="www.ahri.org">
          MeSH subject headings
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      <abstract>
        <![CDATA[Adverse Childhood Experiences (ACEs) are known to be a key determinant of psychiatric disorders, including anxiety, depression and substance use disorders. While the impact of childhood adversity on mental health has been studied extensively over the past decades, its impact on decision-making is much less researched. Our hypothesis is that sub-clinical mental health disorders linked to childhood adversity experiences are associated with  decision-making variations that can be detected using ecological computational tasks.

The field of computational psychiatry has achieved a previously unattainable insight into atypical decision computations in individuals suffering from various mental health conditions, such as anxiety and depression. This work has shown sub-clinical symptoms are associated with altered instrumental and contingency learning, as well as altered coupling within key decision networks. A growing body of evidence also indicates structural changes and dysfunctionality of key decision-making nodes in populations in adults with a history of childhood maltreatment and late childhood ACEs. 

Given this anatomical overlap, there is a strong argument that decision-making mechanisms may be atypical in individuals with disorders such as depression and anxiety, particularly those with ACEs.
This gap in our knowledge emphasizes the need for translational research to expose the underlying mechanistic changes that ensue from these adverse experiences and their role in the development of psychopathologies in adulthood.

This research project aims to characterise the development of fundamental learning and decision-making mechanisms across young adults that have been previously shown to explain significant variance in mental health conditions. I will translate tasks that promote these mechanisms in ecologically relevant environments to test hypotheses within two different populations in UK and South Africa. With the use of computational models, I will then identify divergences in the trajectory between typical and atypical mental health development as it relates to adversity exposure. This world health perspective would offer a unique opportunity to examine the impact of ACE on computationally precise behavioural mechanisms in two culturally different environments.

Aim: To investigate how the learning and decision-making strategies of young people (aged 18-24 years) in KwaZulu-Natal are influenced by experiences of adversity and their mental health.

Objectives:

1) To examine alterations in decision-making and learning strategies using an ecologically valid task
2) To investigate the relationship between decision-making alterations and childhood adversity experiences
3) To determine the relationship between decision-making alterations and symptoms of poor mental health (depression, anxiety and anhedonia)]]>
      </abstract>
      <sumDscr>
        <collDate date="2005-02-06" event="start"/>
        <collDate date="2025-03-03" event="end"/>
        <nation abbr="ZA">
          South Africa
        </nation>
        <geogCover>
          Demographic surveillance areas surrounding the Africa Health Research Institute; KwaZulu-Natal
        </geogCover>
        <anlyUnit>
          N/A
        </anlyUnit>
        <universe>
          Testing occurred over 8 weeks within a community setting -- North and South Somkhele -- utilising a convenience population sampling strategy. Recruitment involved 339 healthy volunteers aged 18-24 years. Data was collected by trained community trackers from the Africa Health Research Institute (AHRI), who were provided with training prior to data collection, as well as the PI. All participants performed a gamified foraging task using mobile tablets. The task, consent forms, information sheets and questionnaires were available offline and administered via mobile tablets handled by trackers and community peer navigators, as well as the PI. All data was saved directly to the mobile devices, which were password protected. Participants also answered carefully translated questionnaires to assess their mental well-being and experiences of adversity.
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        <dataKind>
          Quantitative, Observational, Cross-sectional study
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          <![CDATA[Dube, S., Dreyer, J., Mkwanazi, N., Stein, A., Noonan, M. A., Ngwenya, N., Klein-Fluggë, M., Cole, B., & Herbst, C. (2026). Cross-cultural perspectives on young people’s decision-making, adversity, and mental health [Dataset]. Africa Health Research Institute.

DOI: https://doi.org/10.23664/AHRI.AEDS01-01.ADVERSEEVENTS.DATASET]]>
        </citReq>
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          Access to the data requires accurate completion of the online data access application form accessible on the AHRI Data repository(&lt;https://data.ahri.org/&gt;). Data users are required to abide by the data use conditions stipulated on the application for access to the data. Failure to do so may result in their data access privileges being revoked by the Data Custodian. In order to recognise the effort and intellectual contributions of AHRI investigators in producing and curating the data, users of AHRI data must acknowledge the source of the data and abide by the terms and conditions under which the data is accessed and must cite the dataset in publication using the citation provided as part of this documentation. All analytical datasets published on the AHRI Data Repository are assigned digital object identifier (DOIs) and the DOIs can be found on the Data Repository under Study Description tab - Access policy. AHRI data users are required to always cite the dataset using the relevant DOI.
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      <sumStat type="stdev">
        12.915
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="bs_iintid" files="F3" dcml="0" intrvl="contin">
      <location width="12"/>
      <labl>
        BS_IIntID
      </labl>
      <valrng>
        <range min="10007" max="93112"/>
      </valrng>
      <sumStat type="vald">
        463
      </sumStat>
      <sumStat type="invd">
        301
      </sumStat>
      <sumStat type="min">
        10007
      </sumStat>
      <sumStat type="max">
        93112
      </sumStat>
      <sumStat type="mean">
        46790.963
      </sumStat>
      <sumStat type="stdev">
        24140.518
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="pd_sex" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Participant's Sex
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        752
      </sumStat>
      <sumStat type="invd">
        12
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          378
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="pd_dob" files="F3" intrvl="discrete">
      <location width="11"/>
      <labl>
        Participant's Date of Birth
      </labl>
      <sumStat type="vald">
        759
      </sumStat>
      <sumStat type="min">
        1999-04-07
      </sumStat>
      <sumStat type="max">
        2007-11-21
      </sumStat>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V42" name="pd_isigodi" files="F3" intrvl="discrete">
      <location width="50"/>
      <labl>
        Participant's Local Area / Isigodi
      </labl>
      <sumStat type="vald">
        418
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V43" name="pd_cluster" files="F3" intrvl="discrete">
      <location width="15"/>
      <labl>
        Study Cluster
      </labl>
      <sumStat type="vald">
        418
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V44" name="pd_age" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Age - Calculated from Date of Birth and Visit Date
      </labl>
      <valrng>
        <range min="17" max="25"/>
      </valrng>
      <sumStat type="vald">
        356
      </sumStat>
      <sumStat type="invd">
        408
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="ac_date" files="F3" intrvl="discrete">
      <location width="11"/>
      <labl>
        Capacity assessment date by Field Team
      </labl>
      <sumStat type="vald">
        350
      </sumStat>
      <sumStat type="min">
        2025-02-06
      </sumStat>
      <sumStat type="max">
        2025-03-03
      </sumStat>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V46" name="ac_assess_step1" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        HAPPY with Step 1?
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        350
      </sumStat>
      <sumStat type="invd">
        414
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, seek signature
        </labl>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, not happy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="ac_assess_result_fw" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Is this individual capable to participate?
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        350
      </sumStat>
      <sumStat type="invd">
        414
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="ac_assess_result" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Calculated - capable to participate
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        764
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="srs_mh_requested" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        I would like help for me or my family for mental illness or risk of suicide
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        344
      </sumStat>
      <sumStat type="invd">
        420
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          339
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="srs_sv_contact_method" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Please tell us how you would like us to contact you
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        5
      </sumStat>
      <sumStat type="invd">
        759
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Telephone
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Social Worker who visited your home
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="ar_supp_given" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Was support provided?
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        5
      </sumStat>
      <sumStat type="invd">
        759
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="ar_follow_up_needed" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Is follow up needed?
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        5
      </sumStat>
      <sumStat type="invd">
        759
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="ar_follow_up_date" files="F3" intrvl="discrete">
      <location width="244"/>
      <labl>
        Date of follow up
      </labl>
      <sumStat type="vald">
        3
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V54" name="ar_resolved" files="F3" dcml="0" intrvl="discrete">
      <location width="12"/>
      <labl>
        Was it resolved?
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        5
      </sumStat>
      <sumStat type="invd">
        759
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
