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Journal of the Korean Society of Biological Therapies in Psychiatry ; (3): 222-231, 2019.
Artigo em Coreano | WPRIM | ID: wpr-787414

RESUMO

OBJECTIVES: This study investigated the effects of chronic medical diseases on depressive symptoms in individuals at high risk for depression living in rural areas, over a 1-year period.METHODS: A community-based longitudinal study was conducted; 67 participants aged 18–79 years residing in rural areas were included. In the first survey, all participants completed a self-report questionnaire battery. An interview was also conducted to obtain data on demographic variables and current or past chronic medical diseases. In the first survey, participants with the Center for Epidemiologic Studies Depression scale(CES-D) scores of 16 or higher were categorized as being at high risk for depression; the same assessments were carried out 1 year later in a follow-up survey. Multiple regression analysis was performed to determine the association of chronic medical diseases with 1-year follow-up depressive symptoms in the high-risk group.RESULTS: In model 1, which controlled for sociodemographic variables, the number of chronic medical diseases (p =0.026), baseline severity of depressive symptoms(p =0.002), and presence of diabetes(p =0.039) were significantly associated with the follow-up CES-D scores. In model 2, which further adjusted for Alcohol Use Disorder Identification Test and Beck Anxiety Inventory scores, the number of chronic medical diseases(p =0.036), baseline severity of depressive symptoms(p =0.017), and prevalence of diabetes(p =0.037) were also significantly associated with the follow-up CES-D scores.CONCLUSION: This study suggests that the number of chronic medical diseases, prevalence of diabetes, and severity of depressive symptoms are significantly associated with 1-year follow-up depressive symptoms in individuals at high risk for depression.


Assuntos
Ansiedade , Depressão , Diabetes Mellitus , Estudos Epidemiológicos , Seguimentos , Estudos Longitudinais , Prevalência , População Rural
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