Evidence map›Paper›PMID 41618265›Full record

ArticleBMC public health2026

Association of dietary patterns and healthy diet scores with anxiety, depression, and their comorbidity among rural Chinese adults.

Xiaojun Liu, Yating Chen, Huajing Chang, Wenqian Ruan, Wenji Qiu, Lingling Zhang

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Xiaojun LiuDepartment of Social Medicine and Health Management, School of Health Management, Fujian Medical University, Fuzhou, Fujian, 350122, China. xiaojun_liu@fjmu.edu.cn.
Yating ChenDepartment of Social Medicine and Health Management, School of Health Management, Fujian Medical University, Fuzhou, Fujian, 350122, China.
Huajing ChangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, 350122, China.
Wenqian RuanDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, 350122, China.
Wenji QiuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, 350122, China. wenji_qiu@fjmu.edu.cn.
Lingling ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, 350122, China. 2210220176@fjmu.edu.cn.

Funding

Fujian Basic Theory Research Foundation of Philosophy & Social Science Guided by Marxism JSZM2021027National Natural Science Foundation of China 72204047
6 · The paper itself

Abstract

backgroundMental health issues pose a significant public health challenge. Anxiety and depression are among the most prevalent mental health problems. However, the association between dietary behavior and these mental health conditions among the rural population is unclear. This study examined the relationship between dietary behavior and the prevalence of anxiety, depression, and comorbidity among rural residents in China.

methodsThis cross-sectional study used data from the Adult Chronic Disease and Nutrition Surveillance program in Pingnan. Dietary behavior was evaluated by healthy diet scores and dietary patterns. Two-Step Cluster Analysis (TCA) was employed to categorize the dietary patterns. Anxiety and depression symptoms were measured using the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9), respectively. Binary logistic regression models were conducted to explore the impacts of healthy diet scores and dietary patterns on anxiety, depression, and comorbidity.

resultsBinary logistic regression results showed that rural residents with a healthy diet score of 0 and 1 had a significantly higher prevalence of anxiety (OR = 2.53, 95% CI = 1.29–4.96; OR = 2.31, 95% CI = 1.23–4.36), depression (OR = 2.65, 95% CI = 1.24–5.66; OR = 2.47, 95% CI = 1.20–5.05), and comorbidity (OR = 3.15, 95% CI = 1.27–7.84; OR = 2.42, 95% CI = 1.01–5.78). Individuals with a “moderately healthy pattern” and an “unhealthy pattern” also exhibited a significantly elevated prevalence of anxiety (OR = 1.67, 95% CI = 1.20–2.34; OR = 1.69, 95% CI = 1.14–2.50), depression (OR = 1.67, 95% CI = 1.17–2.39; OR = 1.61, 95% CI = 1.05–2.45), and comorbidity (OR = 1.88, 95% CI = 1.20–2.95; OR = 2.15, 95% CI = 1.29–3.57).

conclusionsUnhealthy dietary behavior is significantly associated with an increased prevalence of anxiety, depression, and comorbid conditions among rural residents in China. Promoting healthy dietary habits may help reduce the incidence and severity of anxiety and depression, thereby enhancing the overall mental health of rural communities.

Indexed as

AnxietyDepressionDietDiet, HealthyFeeding BehaviorRural PopulationAdultAgedChinaComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceAnxietyDepressionDietary behaviorDietary patternHealthy diet scores

Identifiers

PMID41618265
PMCPMC12934109

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.