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1.
Article in Chinese | MEDLINE | ID: mdl-27682666

ABSTRACT

Objective: To investigate the mental health status in migrant workers in a labor-intensive enterprise and related influencing factors. Methods: Typical sampling was used to perform an investigation in 910 migrant workers in a large foreign-funded labor-intensive enterprise in Shenzhen, China. All the respondents gave informed consent and completed the questionnaire independently and anonymously. The self-reported mental health status was evaluated using the Beck Anxiety Inventory, Beck Depression Inventory, and General Health Questionnaire. Results: Of all the migrant workers in this enterprise, 7.2% had a positive self-reported anxiety symptom, 25.4% had a moderate or severe self-reported depression symptom, and 76.4% had a poor self-reported general health status. Age had significant influence on the self-reported depression symptom (χ2=21.968, P<0.05) ; age did not have significant influence on the self-reported anxiety and general health status (χ2=6.616、12.498, both P>0.05) . The knowledge of occupational hazards had significant influence on mental health status (χ2Depression=47.289, χ2General health=21.087, both P<0.05) . The feeling of work had significant influence on self-reported depression and general health status (χ2Depression=52.406, χ2General health=17.327, both P<0.05) . Attention to self mental health had significant influence on self-reported depression (χ2=17.714, P<0.05) , and whether the person wanted to learn the knowledge of mental health had significant influence on self-reported anxiety (χ2= 6.145, P<0.05) . Conclusion: The self-reported mental health status in migrant workers is poor and is associated with age, worry about exposure to occupational hazard factors, emphasis on mental health knowledge, and a focus on personal mental health. Therefore, targeted occupational health education and occupational mental health education should be strengthened.


Subject(s)
Mental Health , Occupational Diseases/psychology , Transients and Migrants/psychology , Adult , Anxiety , Anxiety Disorders , China , Depression , Health Personnel , Health Status , Humans , Surveys and Questionnaires
2.
Psychol Med ; 38(12): 1723-30, 2008 Dec.
Article in English | MEDLINE | ID: mdl-18366820

ABSTRACT

BACKGROUND: To date, there has been no large-scale survey of geriatric depression (GD) involving both rural and urban areas in China using standardized assessment tools and diagnostic criteria. This study aimed to determine the 12-month and lifetime prevalence rates of GD and sociodemographic correlates in urban and rural regions of Beijing, China.MethodA total of 1601 elderly patients (aged 60 years) were randomly selected and interviewed in Beijing using the Composite International Diagnostic Interview (CIDI 1.0). Basic sociodemographic and clinical data were also collected during the interviews. RESULTS: The overall 12-month prevalence of GD was 4.33%, and the 12-month prevalence rates for men and women were 2.65% and 5.83% respectively. The overall lifetime prevalence of GD was 7.83%, and lifetime prevalence rates for men and women were 4.65% and 10.66% respectively. Female sex, lower educational level, monthly income, rural abode, and the presence of one or more major medical conditions were associated with increased risk of GD. Of the GD subjects interviewed, 25.2% were receiving some type of treatment, with only 4.7% preferring to seek treatment from mental health professionals. CONCLUSIONS: Although still relatively low by international standards, there is an increasing trend in the prevalence of GD in China. The low percentage of subjects treated for GD is a major public health concern that should be addressed urgently.


Subject(s)
Depressive Disorder, Major/epidemiology , Family , Social Environment , Aged , Aged, 80 and over , Caregivers , Catchment Area, Health , China/epidemiology , Demography , Depressive Disorder, Major/diagnosis , Depressive Disorder, Major/psychology , Family/psychology , Female , Humans , Male , Middle Aged , Prevalence , Severity of Illness Index , Socioeconomic Factors , Suicide, Attempted/prevention & control , Suicide, Attempted/psychology , Suicide, Attempted/statistics & numerical data
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