Mental health, physical impairment and violence among FSWS in North Karnataka, South India: a story of intersecting vulnerabilities
Notice bibliographique
Résumé
Aims This study examines the prevalence and associations between recent violence experience, mental health and physical health impairment among Female Sex Workers (FSWs) in north Karnataka, India. Background Multi-morbidity, in particular the overlap between physical and mental health problems, is an important global health challenge to address. FSWs experience high levels of gender-based violence, which increases the risk of poor mental health, however there is limited information on the prevalence of physical health impairments and how this interacts with mental health and violence. Method We conducted secondary analysis of cross-sectional quantitative survey data collected in 2016 as part of a cluster-RCT with FSWs called Samvedana Plus. Bivariate and multivariate analyses were used to examine associations between physical impairment, recent (past 6 months) physical or sexual violence from any perpetrator, and mental health problems measured by PHQ-2 (depression), GAD-2 (anxiety), any common mental health problem (depression or anxiety), self-harm ever and suicidal ideation ever. Result 511 FSWs participated. One fifth had symptoms of depression (21.5%) or anxiety (22.1%), one third (34.1%) reported symptoms of either, 4.5% had ever self-harmed and 5.5% reported suicidal ideation ever. Over half (58.1%) reported recent violence. A quarter (27.6%) reported one or more chronic physical impairments. Mental health problems such as depression were higher among those who reported recent violence (29%) compared to those who reported no recent violence (11%). There was a step-wise increase in the proportion of women with mental health problems as the number of physical impairments increased (e.g. depression 18.1% no impairment; 30.2% one impairment; 31.4% ≥ two impairments). In adjusted analyses, mental health problems were significantly more likely among women who reported recent violence (e.g. depression and violence AOR 2.42 (1.24–4.72) with rates highest among women reporting recent violence and one or more physical impairments (AOR 5.23 (2.49–10.97). Conclusion Our study suggests multi-morbidity of mental and physical health problems is a concern amongst FSWs and is associated with recent violence experience. Programmes working with FSWs need to be mindful of these intersecting vulnerabilities, inclusive of women with physical health impairments and include treatment for mental health problems as part of core-programming. Samvedana Plus was funded by UKaid through Department for International Development as part of STRIVE (structural drivers of HIV) led by London School of Hygiene and Tropical Medicine and the What Works to Prevent Violence Against Women and Girls Global Programme led by South African Medical Research Council
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».