文章摘要
胡彩红,张梅,张笑,赵振平,黄正京,李纯,王璇,关云琦,王丽敏.中国成年居民就餐行为及其与肥胖的关系[J].中华流行病学杂志,2020,41(8):1296-1302
中国成年居民就餐行为及其与肥胖的关系
Relationship between eating behavior and obesity among Chinese adults
收稿日期:2019-12-25  出版日期:2020-08-25
DOI:10.3760/cma.j.cn112338-20191225-00915
中文关键词: 成年居民  就餐行为  在外就餐  肥胖
英文关键词: Adult residents  Eating behavior  Eating out of home  Obesity
基金项目:国家重点研发计划(2018YFC1311706)
作者单位E-mail
胡彩红 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
张梅 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
张笑 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
赵振平 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
黄正京 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
李纯 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
王璇 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
关云琦 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050  
王丽敏 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室, 北京 100050 wanglimin@ncncd.chinacdc.cn 
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中文摘要:
      目的 了解中国成年居民就餐行为及其与肥胖的关系。方法 利用2013年中国慢性病及其危险因素监测数据,经过数据清理,本研究共纳入171 040名调查对象。采用复杂抽样设计的Rao-Scott χ2检验比较不同特征调查对象的就餐行为及肥胖率的差异。以是否肥胖为因变量,使用基于复杂抽样设计的二分类logistic回归模型分别探讨早、午、晚餐就餐行为与肥胖的关系。结果 我国成年居民一日三餐中不吃早餐的比例最高,为3.3%。早、午、晚餐在外就餐比例分别为16.4%、21.4%、11.7%。午餐在家就餐、在外就餐和不吃午餐的男性肥胖率分别为13.2%、16.1%、15.9%,女性肥胖率分别为14.5%、9.8%、19.6%。多因素logistic回归结果显示,在男性中,午餐或晚餐在外就餐者和不吃午餐或晚餐者发生肥胖的风险均高于在家就餐者;女性不吃午餐或晚餐者发生肥胖的风险高于在家就餐者,女性午餐在外就餐与是否肥胖的关联无统计学意义,晚餐在外就餐发生肥胖的风险低于在家就餐者。结论 我国成年居民不同餐次就餐行为存在差异,午餐在外就餐比例最高,晚餐在外就餐比例最低。男性午餐和晚餐在外就餐者发生肥胖的风险较高;无论男性还是女性,不吃午餐或晚餐者发生肥胖的风险均较高。
英文摘要:
      Objective To study the relationship between eating behavior and obesity among Chinese adults. Methods Data were collected from 171 040 people who had been engaged in the 2013 China Chronic and Non-communicable Disease and Risk Factors Surveillance project. Rao-Scott χ2 test and complex sampling design were used to compare the differences in the rates of eating behavior and obesity. A binary logistic regression model based on complex sampling design was used to investigate the relationship between eating behavior at three meals (breakfast, lunch and dinner) and obesity. Results The proportion (3.3%) of skipping breakfast appeared the highest. Proportions of eating out for all the three meals were 16.4%, 21.4% and 11.7%, respectively. The prevalence rates of obesity among men who ate lunch at home, ate out or skipped the lunch were 13.2%, 16.1% and 15.9%, respectively. The prevalence rates of obesity among women who ate lunch at home, ate out or skipped lunch were 14.5%, 9.8%, 19.6%, respectively. Results from the multivariate logistic regression analysis showed that eating out for lunch and skipping lunch were both positively correlated with obesity in men (eating out for lunch:OR=1.10, 95%CI:1.02-1.18; skipping lunch:OR=1.36, 95%CI:1.02-1.80) while skipping lunch was positively associated with obesity (OR=1.47, 95%CI:1.07-2.02) in women. No statistical association was noticed between eating out for lunch and obesity in women, with OR=0.86 (95%CI:0.73-1.00). Both eating out for dinner and skipping dinner were positively correlated with obesity in men, with eating out for lunch as OR=1.19 (95%CI:1.06-1.34) and skipping dinner as OR=1.89 (95%CI:1.07-3.33). Avoid dinner was positively associated with obesity in women, with OR=1.64 (95%CI:1.02-2.63). Women who ate out for dinner showed lower risk of obesity than those who ate at home with OR=0.74 (95%CI:0.59-0.94). Conclusions Different eating behaviors were seen in Chinese adults, with the highest proportion of eating out for lunch and the lowest proportion for dinner. Both eating out for lunch and dinner appeared risk factors of obesity in men while avoid lunch or dinner were both associated with obesity in both sex.
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