ArticleNutrients2023
Socio-Demographic Factors Associated with Rural Residents' Dietary Diversity and Dietary Pattern: A Cross-Sectional Study in Pingnan, China.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association of dietary patterns and healthy diet scores with anxiety, depression, and their comorbidity among rural Chinese adults.BMC public health · 2026Article
- Dietary diversity among Sundarbans forest-dependent communities: Prevalence, determinants, and livelihood implications.PloS one · 2026Article
- Reciprocal association between dietary diversity and subjective well-being in Chinese older adults: a three-wave longitudinal study.Archives of public health = Archives belges de sante publique · 2025Article
- Household structure and dietary diversity among older adults in rural and urban China: a cross-sectional study.BMC public health · 2024Article
- Dietary diversity and its association with changes in anthropometric indices of community-dwelling older adults in Tehran, Iran: a longitudinal study (2017-2021).BMC public health · 2024Article
- Tanzania's NCD Transition: A Comparative Analysis of Healthy Lifestyle Behaviors for Hypertension Prevention Between Rural and Urban Adults.Inquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
7 authors.
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Abstract
There is limited evidence regarding the factors correlated with dietary diversity (DD) and dietary pattern (DP) in rural residents of China. This study aims to identify the DD and DP of rural residents and their association with socio-demographic factors. A cross-sectional survey was conducted in Pingnan, China. The Food Frequency Questionnaire (FFQ) was applied to evaluate dietary intake. Latent class analysis (LCA) was used to identify patterns of six food varieties, including vegetables-fruits, red meat, aquatic products, eggs, milk, and beans-nuts. Generalized linear models and multiple logistic regression models were used to determine factors associated with the DD and DP. Three DPs were detected by LCA, namely "healthy" DP (47.94%), "traditional" DP (33.94%), and "meat/animal protein" DP (18.11%). Females exhibited lower DD (β = -0.23,
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