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Record W2969993855 · doi:10.4314/ahs.v19i2.12

Depressive symptoms, sexual activity, and substance use among adolescents in Kampala, Uganda

2019· article· en· W2969993855 on OpenAlexaff
M. Henry, Sabrina Bakeera Kitaka, Kizza Lubega, Sara A. Snyder, Philip LaRussa, Betsy Pfeffer

Bibliographic record

VenueAfrican Health Sciences · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineDepressive symptomsSubstance usePsychiatryAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND: Adolescents experience high rates of depression, initiation of sexual activity, and substance use. OBJECTIVES: To better understand the demographics of adolescents presenting to an adolescent clinic in Uganda, and to elucidate which factors are associated with depressive symptoms, sexual initiation, and substance use. METHODS: A retrospective review was performed on intake forms obtained during interviews with adolescents presenting to the Makerere/Mulago Columbia Adolescent Health Clinic (MMCAH) in Kampala, Uganda. RESULTS: Depressive symptoms in adolescents were correlated with having a chronic illness (p=.026), and reported poor quality of home life (p<.001). Initiation of sexual activity was also correlated with chronic illness (p=.008) and poor quality of home life (p=.006). Substance use was correlated with maternal death (p=.041), chronic illness (p=.038), and substance use among family members (p<.001) and friends (p<.001). CONCLUSIONS: Knowing the aforementioned risk factors can help us better understand the needs of adolescents presenting to MMCAH, and allows us to develop targeted interventions aimed at decreasing health risks in Kampala's adolescent population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.091
GPT teacher head0.406
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2019
Admission routes1
Has abstractyes

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