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Relationship between dietary pattern and excess body weight among urban residents: a three-year follow-up study in Nanjing / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 221-224, 2013.
Article in Zh | WPRIM | ID: wpr-327638
Responsible library: WPRO
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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Full text: 1 Database: WPRIM Type of study: Etiology_studies / Observational_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2013 Document type: Article
Full text: 1 Database: WPRIM Type of study: Etiology_studies / Observational_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2013 Document type: Article