ArticleInternational journal of environmental research and public health2016
Prevalence of Depression among Rural Residents with Diabetes Mellitus: A Cross-Sectional Study from Northeast China.
Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 19 citations in OpenAlex.
- Prevalence and associated factors of depressive symptoms in Chinese diabetic patients: A study based on Andersen's behavioral model.World journal of diabetes · 2025Article
- Relationship Between Social Capital and Depressive Symptoms Among Type 2 Diabetes Mellitus Patients in Northwest China: A Mediating Role of Sleep Quality.Frontiers in psychiatry · 2021Article
- Evaluate the prevalence of depression in type 2 diabetics with microvascular complications.Journal of family medicine and primary care · 2020Article
- Risk factors for depression in elderly diabetic patients and the effect of metformin on the condition.BMC public health · 2019Article
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5 authors at 2 institutions in 1 country.
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Abstract
Recent economic development in China has resulted in large increases in psychogenic and metabolic diseases. However, few studies have focused on the mental status of rural residents with diabetes. We aimed to investigate the prevalence of depressive symptoms among patients with diabetes to establish the association between depressive symptoms and socio-demographic and clinical factors. We conducted a cross-sectional analysis of 1187 patients with diabetes aged ≥35 years from rural Northeast China. Metabolic and anthropometric indicators were measured according to standard methods. Depressive symptoms were defined using the Patient Health Questionnaire-9 (PHQ-9). Five hundred and twenty-six residents (44.3%) of the total sample were male and 931 (78.4%) were <65 years old. One hundred and eight residents (8.76%) score ≥10 on the PHQ-9 scale. A statistically significant relationship was found between depressive symptoms and female gender, older age (≥65 years), high school or above education level, moderate physical activity, high family income, multiple additional illnesses, current alcohol consumption, and 7-8 h/d sleep duration. Multivariate analysis showed that female gender [odds ratio (OR) = 1.984, p = 0.028], high family income (OR = 0.483 for 5000-20,000 CNY/year, p = 0.011; OR = 0.356 for >2000 CNY/year, p = 0.003), 7-8 h/d sleep duration (OR = 0.453, p = 0.020), and having multiple additional illness (OR = 3.080, p < 0.001) were significantly associated with depressive symptoms. Prevalence of depressive symptoms in our study was high. Female gender and multiple illnesses were risk factors for depression, while long sleep duration and high family income seem to protect against depression among rural residents with diabetes in China.
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