Results of a 2-year randomized, controlled obesity prevention trial: Effects on diet, activity and sleep behaviors in an at-risk young adult population.
Results of a 2-year randomized, controlled obesity prevention trial: Effects on diet, activity and sleep behaviors in an at-risk young adult population.
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DOI：
10.1016/j.ypmed.2016.06.001
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发表时间：
2016-08
影响因子：
5.1
通讯作者：
Hannan, Peter J.
中科院分区：
文献类型：
--
作者：
Laska, Melissa N.;Lytle, Leslie A.;Nanney, Marilyn S.;Moe, Stacey G.;Linde, Jennifer A.;Hannan, Peter J.
过度的体重增加往往发生在年轻的成年人。然而，对这一年龄组有效的体重相关干预措施的研究有限。作为早期试验联盟（通过生活方式干预早期成人减肥）的七项试验之一，选择研究（在大学环境和设置中选择健康选项）测试了技术集成的年轻成人体重增加预防干预的效果。这是一项随机对照试验，在基线（2011年）和干预开始后4个月，12个月和24个月进行评估，包括441名参与者（年龄18-35岁），他们是明尼苏达州三所社区学院的学生。为期24个月的干预包括1学分的学术课程和社交网络，并支持在线干预。该分析检查了三个领域的12个次要行为结果的影响：饮食（快餐，含糖饮料，早餐，在家准备膳食），体育活动/屏幕时间（休闲时间体育活动，电视观看，休闲时间计算机使用的分钟和能量消耗）和睡眠（睡眠时间，入睡所需时间，休息不足的天数，难以保持清醒）。干预导致快餐显著减少（p=0.007），但保持清醒的困难增加（p=0.015）。在4个月时，在预期方向上的其他行为变化的证据有限（0.05<p<0.1），但治疗条件的差异随时间消失。检查汇总治疗效果的分析（即，同时对所有行为结果的建模效应）表明显著的总体效应（p=0.014），主要由4个月的结果驱动（p=0.005）。需要更多的研究来了解年轻人中有效的肥胖预防，特别是在解决多种与体重相关的结果时。
Excess weight gain tends to occur in young adulthood. However, research examining effective weight-related interventions for this age group has been limited. As one of seven trials in the EARLY Trials consortium (Early Adult Reduction of weight through LifestYle intervention), the CHOICES Study (Choosing Healthy Options in College Environments and Settings) tested effects of a technology-integrated, young adult weight gain prevention intervention. It was a randomized controlled trial with assessments at baseline (2011) and 4-, 12- and 24-months post-intervention initiation and included 441 participants (ages 18-35) who were students at three Minnesota community colleges. The 24-month intervention included a 1-credit academic course and social networking and support online intervention. This analysis examined effects on 12 secondary behavioral outcomes across three domains: diet (fast food, sugary beverages, breakfast, at-home meal preparation), physical activity/screen time (minutes and energy expenditure in leisure time physical activity, television viewing, leisure time computer use) and sleep (hours of sleep, time required to fall asleep, days not getting enough rest, difficulty staying awake). The intervention resulted in significant reductions in fast food (p=0.007) but increases in difficulty staying awake (p=0.015). There was limited evidence of other behavior changes at 4 months (0.05<p<0.1) in the expected direction but differences by treatment condition dissipated over time. Analyses examining summary treatment effects (i.e., modeling effects on all behavioral outcomes simultaneously) indicated significant overall effects (p=0.014), largely driven by 4-month results (p=0.005). Additional research is needed to understand effective obesity prevention among young adults, particularly when addressing multiple weight-related outcomes.
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