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18~60 岁居民饮食行为的现状及其影响因素:一项中国的横断面研究。

Current Status and Influencing Factors of Eating Behavior in Residents at the Age of 18~60: A Cross-Sectional Study in China.

机构信息

School of Nursing, Peking University, Beijing 100191, China.

Xiangya School of Nursing, Central South University, Changsha 410000, China.

出版信息

Nutrients. 2022 Jun 22;14(13):2585. doi: 10.3390/nu14132585.

DOI:10.3390/nu14132585
PMID:35807764
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9268282/
Abstract

As eating behavior is important to health, this cross-sectional study was conducted to analyze the factors influencing the eating behavior related to overweight and obesity of Chinese residents aged 18~60 based on the Ecological Model of Health Behavior. The short-form of the Eating Behavior Scale (EBS-SF) was applied to evaluate eating behavior. The multivariable linear stepwise regression analysis was used to identify and analyze the influence factors, and the receiver operating characteristic curves analysis to validate the predictive capability of the EBS-SF score in differentiating overweight and obesity. A total of 8623 participants were enrolled. In the personal characteristics, male (β = -0.03), older [36-45 years (β = -0.06) or 46-60 years (β = -0.07)], higher scores of Agreeableness (β = -0.04), Conscientiousness (β = -0.14) or Openness (β = -0.03) contributed to healthy eating behavior. In the individual behaviors, those who smoked (β = 0.04), drank alcohol (β = 0.05), exercised frequently (β = 0.07), had higher PHQ-9 scores (β = 0.29) may have improper eating habits. As for the interpersonal networks, the residents who were married (β = -0.04) behaved well when eating, while those who had offspring or siblings tended to have unhealthy eating behavior. At the community level, living in Western China (β = -0.03), having a monthly household income of 6001-9000 yuan per capita (β = -0.04), having no debt (β = -0.02), being retired (β = -0.03), or having lower PSSS scores (β = -0.03) led to lower EBS-SF scores. And the EBS-SF score demonstrated a moderate-high accuracy in predicting overweight and obesity.

摘要

鉴于饮食习惯对健康很重要,本研究基于健康行为生态模型,采用饮食行为量表短式问卷,分析了中国 18~60 岁居民超重肥胖相关饮食行为的影响因素。多变量线性逐步回归分析用于识别和分析影响因素,接受者操作特征曲线分析验证了 EBS-SF 评分在区分超重肥胖方面的预测能力。共纳入 8623 名参与者。在个人特征方面,男性(β=-0.03)、年龄较大(36-45 岁(β=-0.06)或 46-60 岁(β=-0.07))、宜人性(β=-0.04)、尽责性(β=-0.14)或开放性(β=-0.03)得分较高的人群具有健康的饮食习惯。在个体行为方面,吸烟(β=0.04)、饮酒(β=0.05)、经常锻炼(β=0.07)、PHQ-9 得分较高(β=0.29)的人群可能存在不良饮食习惯。在人际关系网络方面,已婚居民(β=-0.04)在饮食方面表现良好,而有子女或兄弟姐妹的居民则倾向于饮食不健康。在社区层面,居住在西部地区(β=-0.03)、人均月家庭收入 6001-9000 元(β=-0.04)、无债务(β=-0.02)、退休(β=-0.03)或 PSSS 得分较低(β=-0.03)的居民 EBS-SF 评分较低。EBS-SF 评分在预测超重肥胖方面具有中高度准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/362df62dbc8b/nutrients-14-02585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/fcbd143801fa/nutrients-14-02585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/c5128ed3aa50/nutrients-14-02585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/c04ce54f797f/nutrients-14-02585-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/362df62dbc8b/nutrients-14-02585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/fcbd143801fa/nutrients-14-02585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/c5128ed3aa50/nutrients-14-02585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/c04ce54f797f/nutrients-14-02585-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f05b/9268282/362df62dbc8b/nutrients-14-02585-g004.jpg

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