ArticleBMC public health2021
Effect of socioeconomic characteristics and lifestyle on BMI distribution in the Chinese population: a population-based cross-sectional study.
Article in BMC public health, 2021. 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.
- A theoretical model of secular body mass index dynamics among Russian adults under changing socio-economic conditions.Journal of physiological anthropology · 2025Article
- Association of socioeconomic status with BMI differs by sex and position on BMI distribution among participants in the Cebu Longitudinal Health and Nutrition Survey (CLHNS).International journal of obesity (2005) · 2025Article
- Internet usage elevates elderly obesity: evidence from a difference-in-differences analysis of the broadband China policy.Archives of public health = Archives belges de sante publique · 2025Article
- Relationship between dietary intake and growth and development in Chinese pupils.Frontiers in public health · 2025Article
- Sex-Specific Differences in Visceral and Subcutaneous Adiposity Accumulation and Their Association With Metabolic Abnormalities.Journal of obesity · 2025Article
- Impacts of Self-Efficacy on Food and Dietary Choices during the First COVID-19 Lockdown in China.Foods (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
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Abstract
backgroundBody mass index (BMI) is an accepted measurement that is widely used to quantify overweight and obesity at the population level. Previous studies have described the distribution variation of BMI through applying common statistical approaches, such as multiple linear or logistic regression analyses. This study proposed that associations between BMI and socioeconomic characteristics, diet, and lifestyle factors varied across the conditional BMI distribution.
methodsThis study was based on a sample of 10,023 Chinese adults who participated in the monitoring of chronic diseases and associated risk factors in Shaanxi Province, Northwest China, in 2013. Cross-quantile factors were observed in the relationships between major risk factors and BMI through quantile regression (QR) and ordinary least squares (OLS) regression.
resultsParticipants' mean BMI was 24.19 ± 3.51 kg/m
conclusionThis study implies that in addition to socioeconomic characteristics, limiting oil and alcohol intake may decrease BMI score. Consuming more red meat could be a strategy to increase BMI.
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