GENDER VARIATIONS IN THE PREVALENCE AND CORRELATES OF DEPRESSION AND ANXIETY AMONG ADOLESCENTS IN SOUTH-EASTERN NIGERIA
Bibliographic record
Abstract
Revised Child Anxiety and Depression Scale. Analyses were carried out with the SPSS statistical software (version 21); frequencies and percentages, chi-squared statistics, and point-biserial correlations were examined. Results showed a high (35.4%) prevalence of general anxiety and depression among adolescents. Male respondents had a higher proportion of anxiety (32.1%), depression (31.5%), and general anxiety and depression (44.8%) compared to females who had 20.9% symptomatic depression, 21.9% anxiety, and 29.2% general anxiety and depression. Correlates of mental health symptoms in boys were mothers’ education and living with guardians. Having unemployed fathers correlated with anxiety symptoms in girls. Age, class, perceived family socioeconomic status, and emotional connection with parents/guardians were significantly correlated with mental health in both male and female adolescents; however, the pattern of these interactions varied between the genders. Since this study has shown that gender variations exist in the prevalence and correlates of poor mental health among Nigerian adolescents, programs targeting them should reflect gender considerations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".