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Patterns of beverage consumption ass...
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Keast, Debra Rose.
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Patterns of beverage consumption associated with adolescent obesity in the United States.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Patterns of beverage consumption associated with adolescent obesity in the United States./
作者:
Keast, Debra Rose.
面頁冊數:
289 p.
附註:
Source: Dissertation Abstracts International, Volume: 68-01, Section: B, page: 0218.
Contained By:
Dissertation Abstracts International68-01B.
標題:
Health Sciences, Nutrition. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3248562
Patterns of beverage consumption associated with adolescent obesity in the United States.
Keast, Debra Rose.
Patterns of beverage consumption associated with adolescent obesity in the United States.
- 289 p.
Source: Dissertation Abstracts International, Volume: 68-01, Section: B, page: 0218.
Thesis (Ph.D.)--Michigan State University, 2006.
The aims of this cross-sectional study were to examine the associations of beverages with meal occasions; and to examine associations of beverage patterns with dietary intake, sociodemographic/lifestyle factors, BMI percentile, percent body fat and overweight/risk for overweight. Subjects were adolescents age 12--16 years (n=1,872) in the Third National Health and Nutrition Examination Survey (NHANES III, 1988--94).Subjects--Topical Terms:
1017801
Health Sciences, Nutrition.
Patterns of beverage consumption associated with adolescent obesity in the United States.
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The aims of this cross-sectional study were to examine the associations of beverages with meal occasions; and to examine associations of beverage patterns with dietary intake, sociodemographic/lifestyle factors, BMI percentile, percent body fat and overweight/risk for overweight. Subjects were adolescents age 12--16 years (n=1,872) in the Third National Health and Nutrition Examination Survey (NHANES III, 1988--94).
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BMI percentile and overweight/risk for overweight were determined from measured BMI using CDC Growth Charts, and percentage body fat from two skinfold measurements. Youth were classified by their 'typical' beverage pattern using the 'share' method to identify the combination of beverage types (i.e., milk, juice and/or sugar-sweetened soft drinks/fruit drinks) each reported frequently (i.e., beverage frequency 'share' ≥25% total beverage frequency) in a food frequency questionnaire. The percentage of beverage occasions that were breakfast, lunch, dinner or snack, and mean nutrient intakes of beverage groups were estimated using 24-hr recall data. Chi-square tests were used to examine associations of sociodemographic/lifestyle factors with beverage patterns. Crude and adjusted associations of beverage patterns with body weight and body fat were examined by estimating least-square (LS) mean BMI percentile and percentage body fat, as well as the odds ratios for overweight/risk for overweight.
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Energy intakes did not differ, but 'sugar-sweetened beverages' groups had higher added sugars and lower calcium intakes than 'milk' groups. Youth drank milk and juice most frequently with breakfast, while sugar-sweetened beverages were consumed most frequently at the snack occasion. A greater percentage of the 'milk & juice' group than the 'sugar-sweetened beverages' group ate breakfast every day (57% vs. 21%), exercised daily (35% vs. 28%), played on ≥3 sports teams (37% vs. 16%), and watched TV ≥1 hour/day (39% vs. 20%), while less watched TV ≥4 hours/day (34% vs. 10%). Beverage patterns were also associated with income and other indicators of SES (p<0.01).
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Both BMI percentile and percent body fat were lower in the 'milk & juice' group than in the 'other beverages (diet soft drinks, coffee, tea)' group, and BMI percentile was higher in the 'sugar-sweetened beverages' group than in the 'milk & juice' group, in unadjusted models. Overweight/risk for overweight was low in the 'milk & juice' group (OR=0.52, 95% CI = 0.28-0.96), and high in the 'other beverages' group (OR=2.74, 95% CI = 1.12-6.68), compared to the 'milk' group. Adjusted associations of 'milk & juice' with obesity outcomes were significant in most models, except those adjusted for SES, physical activity or TV watching. 'Sugar-sweetened beverages' was not associated with BMI percentile in models adjusted for SES or TV watching. Effects of 'other beverages' were not significant in models adjusted for youth who were trying to lose weight.
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The 'milk & juice' pattern was correlated with breakfast and physical activity, and the 'sugar-sweetened beverages' pattern was correlated with snacks and watching TV. SES, lifestyle factors and beverage patterns were inter-related, and all were associated with obesity. These data support recommendations that youth eat breakfast daily, reduce soft drink intake, and limit TV watching to reduce the risk for overweight.
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