Background Chinese residents are facing severe challenges of mental health as the prevalence rates of anxiety disorders and depression are on the rise. It is of great significance to pay attention to the mental health of occupational populations for the development of social economy.
Objective This study analyzes the current situation of depressive mood of the occupational populations aged 18-60 years in four provinces of China, and to explore its influencing factors.
Methods Using the baseline data of the "Community Cohort Study on Specific Diseases of the Nervous System", occupational populations aged from 18 to 60 years with completed data on demographic and economic factors (age, gender, educational level, occupation, and family per capita monthly income), lifestyle (smoking, alcohol consumption, leisure-time physical activity, and sleep duration), and self-rating depressive mood scale were selected as study subjects. A total of 3 493 subjects were included in the study. Beck Depression Inventory (BDI-13) and Geriatric Depression Scale (GDS-30) were used to determine depressive mood of the subjects aged 18-54 years and 55-60 years respectively, and total score of BDI-13 ≥ 5 or total score of GDS-30 ≥ 11 was considered as depressive mood. Chi-square test was used to analyze the differences in distributions of selected characteristics of manual and office workers and the differences in the prevalence of depressive mood among different groups. Multiple logistic regression model was used to analyze the influencing factors of depressive mood in occupational populations.
Results A total of 160 workers were diagnosed as having depressive mood, and the prevalence rate of depressive mood was 4.6%. There were 62 and 98 subjects aged 18-54 years and 55-60 years diagnosed as having depressive mood, and the prevalence rates were 2.1% and 19.8%, respectively. The results from chi-square test showed significant differences in the prevalence rate of depressive mood among different age, gender, smoking, and sleep duration groups (Ps < 0.05). The results of multiple logistic regression model showed that the odds ratio (OR) of depressive mood was 4.50 (95% CI:2.87-7.07) in the occupational group aged 45-60 versus those aged 18-34 years, 2.60 (95% CI:1.35-5.00) in those with university education and above versus those with primary school education or below, 0.59 (95% CI:0.38-0.92) in the non-smoking workers versus the smoking workers, and 1.70 (95% CI:1.15-2.50) in the workers with unhealthy sleeping time (< 8h or >9 h) versus those with healthy sleeping time (8-9h).
Conclusion In the studied four provinces of China, the prevalence rate of depressive mood in occupational populations aged 18 to 60 years is low, and those aged 45 years and older, with university education or above, smoking, and sleeping too long or too short may have a higher risk of depressive mood.
DownLoad: