AI Article Synopsis

  • The study aimed to identify high-risk populations for overweight/obesity in China and explore the factors contributing to this increase, focusing particularly on social workers in Shijiazhuang City.
  • A survey conducted with 536 participants revealed a 13.7% prevalence of overweight/obesity, with urban living, eating habits, and diet quality strongly linked to these conditions.
  • Key findings indicated that dietary choices, urban residence, and male sex were significant independent risk factors for being overweight or obese, highlighting the need for targeted preventive measures in these populations.

Article Abstract

Objective: The prevalence of overweight/obesity in China has increased dramatically in recent years; being overweight/obese can increase the risk of type 2 diabetes and cardiovascular disease. The purpose of this study was to determine the population in China at high risk of being overweight or obese, to explore the relationships between various relevant factors and overweight/obesity, and to identify preventive efforts for high-risk populations.

Methods: We administered a questionnaire survey among a group of 536 social workers in Shijiazhuang City in 2017. We used the Pearson chi-square test, Spearman's rho test, multivariate linear regression, univariate and multivariate logistic regression, and receiver operating characteristic curve analysis to investigate factors that influence overweight/obesity.

Results: The prevalence of overweight/obesity was 13.7% among the study participants. Urban residence, eating speed, number of daily meals, overeating, and a high-fat diet were associated with overweight/obesity. In multivariate linear regression analysis, overweight/obesity was correlated with sex, urban residence, eating speed, number of daily meals, and a high-fat diet.

Conclusion: Among all influencing factors, dietary factors, place of residence, and sex were most closely related to being overweight/obese. Furthermore, living in an urban area and male sex were independent risk factors for being overweight/obese.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436783PMC
http://dx.doi.org/10.1177/0300060520945885DOI Listing

Publication Analysis

Top Keywords

living urban
8
risk overweight
8
prevalence overweight/obesity
8
multivariate linear
8
linear regression
8
urban residence
8
residence eating
8
eating speed
8
speed number
8
number daily
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!