Depression and associated factors among migrant women of reproductive age in some areas of Wuhan / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 143-146, 2013.
Article
in Chinese
| WPRIM
| ID: wpr-327656
ABSTRACT
<p><b>OBJECTIVE</b>To understand factors as social support, situation of depression and related risk factors among migrant women of reproductive age in some areas of Wuhan.</p><p><b>METHODS</b>Cluster sampling method and face-to-face interview with structured questionnaire were used to investigate 316 migrant women in Wuhan.</p><p><b>RESULTS</b>The overall prevalence rate of depression was 32.3%.</p><p><b>RESULTS</b>from binary logistic regression analysis showed that factors as under pressure (OR = 4.010, 95%CI 1.672 - 9.617), having had negative life events (OR = 2.050, 95%CI 1.170 - 3.591) or tight relations with neighbors (OR = 2.537, 95%CI 1.053 - 6.113), not quite satisfied (OR = 4.247, 95%CI 1.521 - 11.855) or satisfied (OR = 2.411, 95%CI 1.111 - 5.233), on his/her own health status etc., might serve as the possible risk factors for depression. In scores related to social support, and the utilization of such support, there were statistically significant differences seen between the groups with depression and the one without.</p><p><b>CONCLUSION</b>The prevalence of depression among migrant women of reproductive age appeared to be high in some areas on Wuhan. Factors as under pressure, having had negative life events, tight relations with neighbors, status on satisfaction of one's own health situation as well as related social support, seemed to be the main risk factors for depression in this population.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Social Support
/
Transients and Migrants
/
China
/
Epidemiology
/
Prevalence
/
Surveys and Questionnaires
/
Risk Factors
/
Depression
Type of study:
Etiology study
/
Prevalence study
/
Qualitative research
/
Risk factors
Limits:
Adolescent
/
Adult
/
Female
/
Humans
Country/Region as subject:
Asia
Language:
Chinese
Journal:
Chinese Journal of Epidemiology
Year:
2013
Type:
Article
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