Association between dietary patterns and depressive symptoms in Chinese adults
Abstract
Background and objectives: This cross-sectional study explored the association between dietary patterns and depressive symptoms in middle-aged and older individuals in China.
Methods and study design: A total of 2,956 individuals aged 45-74 years were included in the current data analysis, based on a community-based cross-sectional study from Qingdao, China. Data for this study were derived from field surveys conducted from August 2009 to November 2010. Their mean age was 57.2 ± 8.46 years, and 62.4% were women. Dietary intake was assessed using a validated semi-quantitative food frequency questionnaire (SQFFQ). Dietary patterns were derived using principal component analysis. Depressive symptoms were assessed using the validated Zung Self-Rating Depression Scale. Logistic regression and restricted cubic spline analyses were conducted to examine the association between dietary patterns and depressive symptoms.
Results: Of the participants, 12.4% had depressive symptoms. These participants were younger, were more likely to be smokers, had a higher body mass index, and had lower income and education levels compared with individuals without depressive symptoms. Four dietary patterns were identified: Balanced, Animal-Pickled vegetables, High sugar-Alcohol, and Animal-Seafood-Egg dietary patterns. The Balanced (odds ratio = 0.53, p < 0.01) and Animal-Seafood-Egg (odds ratio = 0.74, p < 0.01) dietary patterns were negatively associated with depressive symptoms, whereas the…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 2,956 participants or records.
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