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The Onward Project on Well-being and Adversity (TOPOWA)
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Sample details

TOPOWA was designed to understand how a Socio-economic Strengthening Targeted Training (SeSTT) program implemented by Uganda Youth Development Link (UYDEL), a non-governmental organisation, impacts social stressors and mental health. The sample consisted of 300 adolescents and young women aged 18 to 24 years living in urban slums of Kampala, Uganda. UYDEL staff recruited participants living within 2000 m of each of the three UYDEL drop-in centres. Beginning in 2023, participants have been completing surveys and wearing fitness trackers continuously for 5-day measurement bursts at the start of the study and regular intervals for over 2 years. Half of the participants underwent the SeSTT program in addition to being observed as part of the TOPOWA study.

Study design
Cohort - research programme

Number of participants at first data collection

300 (participants)

Age at first data collection

18 - 24 years (participants)

Participant year of birth

1999 - 2005 (participants)

Participant sex
Female

Representative sample at baseline?
No

Sample features

Adolescents
Community-based sample
Economically disadvantaged people
Urban populations
Young women
Dataset details

Country

Uganda

Year of first data collection

2023

Primary Institutions

Uganda Youth Development Link (UYDEL)

Links

drswahn.com/topowa

doi.org/10.1017/gmh.2025.9

Funders

National Institutes of Health (NIH)

Ongoing?
Yes

Data types collected

mentalHealthData
qualitativeData
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Wearable devices
Qualitative data collection
  • Creative, arts-based and visual methods
  • Interviews or focus groups
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • Participant or community advisory groups
  • Keywords

    Biological samples/biospecimens
    Finances
    Mental health
    Quality of life
    Socioeconomics
    Stress
    Translational neuroscience
    Urban
    Vocational training
    Wearables
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