Association between Depressive State and Lifestyle Factors among Residents in a Rural Area in Japan: A Cross-Sectional Study

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  • Murayama Yuri
    Department of Public Health, Graduate School of Medicine, Gunma University
  • Inoue Ken
    Research and Education Faculty, Medical Sciences Cluster, Health Service Center, Kochi University
  • Yamazaki Chiho
    Department of Public Health, Graduate School of Medicine, Gunma University
  • Kameo Satomi
    Department of Public Health, Graduate School of Medicine, Gunma University Department of Nutrition, College of Nutrition, Koshien University
  • Nakazawa Minato
    Department of Public Health, Graduate School of Health Sciences, Kobe University
  • Koyama Hiroshi
    Department of Public Health, Graduate School of Medicine, Gunma University

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<p>For the prevention of suicides, the early detection of depression symptoms and the implementation of suicide prevention measures based on the local community’s conditions are critical. In rural or remote communities with poor access to urban areas, the medical care is often insufficient. We conducted the present study to investigate the relationship between depressive state and social-environmental factors in a depopulated inland rural area in central Japan, where the suicide rate is high and specialized psychiatric care is not available. Using a correspondence analysis, logistic regression analysis, and structural equation modeling (SEM), we examined the questionnaire responses of 912 residents (average 60.5 years old). Total Health Index-Depression (THI-D) scale scores were used to measure depressive state. The lifestyle-related factor with the strongest link to depressive state was ‘concerns about interpersonal relationships’ (OR = 2.7, 95% CI: 2.06-3.53, p < 0.0001), whereas financial concerns, number of friends, exercise habits, and perceived amount of sleep were also useful for predicting depressive state. The SEM showed that one’s job and private life, particularly concerns about interpersonal relationships, are correlated with higher THI-D scores. Thus, social and lifestyle factors (e.g., concerns about interpersonal relationships and financial situation) can be used to predict depressive state in a depopulated rural area, and the newly revealed order in which depressive symptoms manifest is important. Our findings can be used to advance assessments of depressive symptoms and will be useful for mental health and suicide prevention.</p>

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