Flexible Gender Flexibility as a Social factor in Men’s Recovery from Schizophrenia in Northern Nigeria
Bibliographic record
Abstract
Background Schizophrenia is a severe mental health condition that impacts more heavily on men. In Nigeria, studies on men and health have mainly focused on sexual health, in contrast, men’s experience of schizophrenia and the role of gender in influencing beliefs about their recovery has rarely been studied. This study explored men’s perceptions of developing schizophrenia in northern Nigeria and what emerged as facilitating factors in their recovery. Method This qualitative study utilized semi-structured interviews with 30 male outpatients with a previous diagnosis of schizophrenia and 10 mental health professionals. All were recruited through Nigerian psychiatric hospital clinics. A thematic approach informed analysis of the data collected. Results A commitment to flexibility in gender-relations emerged as a key finding. Within household members, the meeting of financial needs was talked about interchangeably. This flexible gender-relations was then associated with household poverty reduction, which was previously seen as influencing the men’s recovery from the mental illness. In particular, providing for family needs became a shared responsibility, with departure from traditional gender expectations imposing fewer family hardships. This was also reported as having a bearing on the men’s willingness to access services, which aided recovery. Conclusion The influence of flexible gender-relations demonstrated in this study has practice implications for understanding men’s management of recovery from schizophrenia. Community-focused gender transformative programs for the men and those involved in their care in Nigeria could help engage participants in discussions relevant to facilitate changes in gender expectations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".