Consumption patterns of sugar-sweetened beverages in the United States.

Consumption patterns of sugar-sweetened beverages in the United States.
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DOI:
10.1016/j.jand.2012.09.016
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发表时间:
2013-01
影响因子:
4.8
通讯作者:
Powell, Lisa M.
Powell, Lisa M.
中科院分区:
医学2区
文献类型:
--
作者:
Han, Euna;Powell, Lisa M.

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以前很少有研究调查了含糖饮料(SSB)的消费分布随着时间的推移和个人水平的协会,尽管最近的兴趣在SSB有关肥胖控制。评估消费模式和个人层面的关联。趋势和横断面分析24小时饮食回忆数据和人口统计学特征和社会经济地位(SES)来自国家健康和营养调查(1999-2000年,2001-2002年,2003-2004年,2005-2006年和2007-2008年)。儿童(2-11岁,N= 8,627)、青少年(12-19岁,N= 8,922)、年轻成人(20-34岁,N= 5,933)和中年及老年人(≥35岁,N= 16,456)。SSB总体和亚型的分层回归分析。儿童中大量摄入SSB(≥500千卡/天)的患病率增加(4%至5%),但青少年(22%至16%)和年轻人(29%至20%)的患病率下降。苏打水是除儿童外所有年龄组中消费量最大的SSB。苏打水消费的流行率下降,而青少年中重度运动/能量饮料的消费量增加了两倍(4%至12%)。与白人相比,黑人儿童和青少年大量饮用水果饮料的几率更高(OR=1.71和1.67)。与高收入儿童相比,低收入儿童有更高的总SSB消费(OR=1.93)和更高的总SSB和水果饮料热量摄入(23和27千卡/天)。父母受教育程度低的青少年与父母受教育程度高的青少年相比,摄入大量SSB的几率更高(OR=1.28),从SSB和苏打水中摄入的热量更高(27和21千卡/天)。与高SES相比,低SES与成年人大量饮用SSB,苏打水和水果饮料的几率更高有关。苏打消费的普及率下降,但非传统SSB上升。在制定鼓励健康饮料消费的政策时,应考虑到不同种族/民族亚群中SSB类型的大量消费的异质性以及低SES人群中大量SSB消费的更高几率。
Few previous studies investigated consumption distributions of sugar sweetened beverages (SSBs) over time and individual-level associations despite recent interest in SSBs regarding obesity control. To assess consumption patterns and individual-level associations. Trend and cross-sectional analyses of 24-hour dietary recall data and demographic characteristics and socioeconomic status (SES) drawn from the National Health and Nutrition Examination Survey (1999–2000, 2001–2002, 2003–2004, 2005–2006, and 2007–2008). Children (2–11 years, N=8,627), adolescents (12–19 years, N=8,922), young adults (20–34 years, N=5,933), and middle-aged and elder adults (≥35 years, N=16,456). Age-stratified regression analyses for SSBs overall and by subtypes. The prevalence of heavy total SSB consumption (≥500 kcal/day) increased among children (4% to 5%) although it decreased among adolescents (22% to 16%) and young adults (29% to 20%). Soda was the most heavily-consumed SSB in all age groups except for children. Prevalence of soda consumption decreased, whereas heavy sports/energy drink consumption tripled (4% to 12%) among adolescents. Black children and adolescents showed a higher odds of heavy fruit drink consumption (OR=1.71 and 1.67) than whites. Low-income children had a higher odds of heavy total SSB consumption (OR=1.93) and higher caloric intake from total SSBs and fruit drinks (by 23 and 27 kcal/day) than high-income children. Adolescents with low- versus high-educated parents had a higher odds of heavy total SSB consumption (OR=1.28) and higher caloric intake from total SSBs and soda (by 27 and 21 kcal/day). Low- versus high-SES was associated with a higher odds of heavy consumption of total SSBs, soda, and fruit drinks among adults. Prevalence of soda consumption fell but non-traditional SSBs rose. Heterogeneity of heavy consumption by SSB types across racial/ethnic subpopulations and higher odds of heavy SSB consumption among low-SES populations should be considered in targeting policies to encourage healthful beverage consumption.
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