Factors associated with women's and children's body mass indices by income status

Factors associated with women's and children's body mass indices by income status
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DOI:
10.1038/sj.ijo.0802604
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发表时间:
2004-04-01
影响因子:
4.9
通讯作者:
French, SA
French, SA
中科院分区:
医学2区
文献类型:
--
作者:
Lin, BH;Huang, CL;French, SA

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目的:描述妇女和儿童的饮食行为、饮食摄入、体力活动、对饮食和健康的态度、社会人口学变量和体重指数(BMI)之间的关联,以及家庭收入的差异。设计:1994 - 1996年个人食物摄入量持续调查(CSFII)和饮食与健康知识调查(DHKS)数据采用多元回归分析,以估计妇女和儿童BMI与行为和环境变量之间的关联。DHKS调查了20岁及以上的CSFII受访者。我们的样本包括2419成年妇女和1651学龄child.MEASUREMENTS:CSFII受访者报告24小时召回的所有食物摄入量在2个非连续天和他们的个人和家庭特征,包括自我报告的身高和体重。DHKS收集数据的知识和态度,对饮食指导和健康CSFII成人responders.RESULTS:妇女的BMI和年龄,种族,饮食模式,看电视,吸烟之间的显着相关性,观察妇女从低收入和高收入家庭。饮料消费、外出就餐、保持健康体重的重要性以及锻炼仅在高收入家庭的女性中与BMI相关。在儿童中,年龄,种族,收入和母亲的BMI显着相关儿童BMI.CONCLUSIONS:在妇女中,一些行为和环境因素和BMI之间的关联不同的家庭收入。干预计划需要针对特定的饮食和体育活动行为,以促进健康的体重。
OBJECTIVE: To describe associations between eating behaviors, dietary intake, physical activity, attitudes toward diet and health, sociodemographic variables and body mass index (BMI) among women and children, and differences by household income.DESIGN: Data from the 1994 - 1996 Continuing Survey of Food Intakes by Individuals (CSFII) and the Diet and Health Knowledge Survey (DHKS) were examined using multivariate regression to estimate the associations between BMI and behavioral and environmental variables among women and children.SUBJECTS: CSFII 1994 - 1996 is representative of the US population. DHKS surveyed CSFII respondents 20 y of age and over. Our samples consisted of 2419 adult women and 1651 school-age children.MEASUREMENTS: CSFII respondents reported 24 h recalls of all food intakes on 2 nonconsecutive days and their personal and household characteristics, including self-reported height and weight. DHKS collected data on knowledge and attitudes toward dietary guidance and health from CSFII adult respondents.RESULTS: Significant correlations between women's BMI and age, race, dietary patterns, TV watching, and smoking was observed among women from both low- and high-income households. Beverage consumption, eating out, the importance of maintaining healthy weight, and exercise were correlated with BMI only among women from high-income households. Among children, age, race, income, and mother's BMI were significantly correlated with child BMI.CONCLUSIONS: Among women, the associations between some behavioral and environmental factors and BMI differ by household income. Intervention programs need to target specific eating and physical activity behaviors to promote a healthy body weight.