Abstract
徐鹭,洪忻,梁亚琼,王志勇,徐斐.南京市城区居民膳食模式与体重过多之间关系的随访研究[J].Chinese journal of Epidemiology,2013,34(3):221-225
南京市城区居民膳食模式与体重过多之间关系的随访研究
Relationship between dietary pattern and excess body weight among urban residents:a three—year follow—up study in Nanjing
Received:September 14, 2012  
DOI:
KeyWord: 体重过多  膳食模式  膳食平衡指数  随访研究
English Key Word: Excess body weight  Dietary patterns  Diet balance index  Follow-up study
FundProject:国家卫生行业科研专项(201202012);甘肃省卫生行业计划项目(gswst09—14);甘肃省卫生行业管理项目(GWGL2010—33)
Author NameAffiliationE-mail
XU Lu Nanjing Municipal Center for Disease Controf and Prevention, Nanjing 210003, China
School ofPublic Health, Nan]ing Medical University 
 
HONG Xin Nanjing Municipal Center for Disease Controf and Prevention, Nanjing 210003, China  
LIANG Yaqiong Nanjing Municipal Center for Disease Controf and Prevention, Nanjing 210003, China
School ofPublic Health, Nan]ing Medical University 
 
WANG Zhiyong Nanjing Municipal Center for Disease Controf and Prevention, Nanjing 210003, China
School ofPublic Health, Nan]ing Medical University 
 
XU Fei Nanjing Municipal Center for Disease Controf and Prevention, Nanjing 210003, China
School ofPublic Health, Nan]ing Medical University 
f.xufei@sohu.com 
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Abstract:
      目的 探讨膳食模式与体重过多(EBW)发生风险的关系.方法 2007年6-9月采用多阶段随机整群抽样方法,对南京市2个城区7个社区3376名30岁以上常住居民进行基线调查,对其中体重正常(BMI< 24 kg/m2)人群开展为期3年的随访调查,于2010年6-9月进行调查评估,利用膳食平衡指数(DBI)构建膳食模式,采用多元线性回归和多元logistic回归分析膳食与EBW发生风险之间的关联.结果 剔除基线调查时筛查出的EBW (BMI≥24 kg/m2)人群,样本人群为1898名,3年后共随访到1347名,随访率为71.0%.3年内新发生EBW为445人,累计发生率为33.0%,其中男女性分别为35.8%和31.3%,差异无统计学意义(P=0.013).经线性回归分析,DBI质量距平均每增加1个单位,BMI增加0.028,经多因素调整后,差异仍有统计学意义(β=0.022,P<0.001).经单因素logistic回归分析,非健康膳食发生EBW的风险是健康膳食的1.37倍,经多因素调整,差异仍有统计学意义(RR=1.51,95%CI:1.09 ~ 2.09).结论 非健康膳食可增加EBW的风险,而理想膳食模式对控制该风险有指导意义.
English Abstract:
      Objective To examine the relationship between the duration of diet and the risk related to excess body weight in residents of Nanjing city.Methods With multi-stage cluster random sampling method,a total number of 3376 local residents aged 30 and over in 7 communities from 2 urban districts were involved in this survey.Through diet balance index (DBI),nine dietary patterns were identified.Subjects with normal BMI in the baseline survey were selected to participate in the follow-up survey.Multiple linear regression and multivariate logistic regression analysis were used to estimate the incidence risks on overweight and obesity.Results Of 1898 eligible subjects with normal BMI in the baseline survey,1347 of them completed the 3-year follow-up survey,with a follow-up rate of 71.0%.By multiple linear regression method,on average,an increase in DBI_DQD of 1 unit was seen and associated with a 0.028 increase in BMI.DBI_DQD were also associated with BMI (β=0.022,P<0.001)after adjusted for the covariates.By logistic regression,when compared with the group of healthy dietary pattern,the relative risk for excessive body weight was 1.37 for those with unhealthy dietary patterns.After adjusting the possible confounding factors,the excessive body weight was also associated with significantly increased risk (RR=1.51,95% CI:1.09-2.09).Conclusion Results from this study provided evidence,showing that unhealthy dietary patterns could predict the increase risk of excessive body weight,suggesting that healthy dietary pattern was important in controlling the excessive body weight.
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