Snacking characteristics and patterns and their associations with diet quality and BMI in the Childhood Obesity Prevention and Treatment Research Consortium
Snacking characteristics and patterns and their associations with diet quality and BMI in the Childhood Obesity Prevention and Treatment Research Consortium
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DOI：
10.1017/s1368980019000958
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发表时间：
2019-12-01
影响因子：
3.2
通讯作者：
Thomas, Alicia J.
中科院分区：
文献类型：
--
作者：
LeCroy, Madison N.;Truesdale, Kimberly P.;Thomas, Alicia J.
目的：描述儿童零食的特点和规律，探讨儿童饮食质量和体重指数之间的关系。设计：测量儿童体重和身高。参与者/成年代理人完成了多次24小时饮食召回。小吃的场合是自我确定的。使用探索性因子分析得出每个样本的零食模式。用多元线性回归模型检验零食特征和模式与2010年健康饮食指数(HEI-2010)得分和BMI的关系。单位：儿童肥胖防治研究(COPTR)联盟，美国：网络、成长、目标和影响研究。参与者：主要是低收入、种族/族裔少数群体：网络(n 534，2-4岁)；成长(n 610，3-5岁)；目标(n 241，7-11岁)；影响(n 360，10-13岁)。结果：在三个研究中得出了两种零食模式：类似餐饮的模式和饮料模式。这项影响研究有类似的膳食模式和乳制品/谷物模式。在幼儿中，进餐模式依从性与HEI-2010得分呈正相关(P为Trend<；0.01)，零食频度与HEI-2010得分呈正相关(Beta系数(95%CI)：网络，0.14(0.04，0.23)；成长，0.12(0.02，0.21))。在所有研究中，使用屏幕时喜欢吃零食与HEI-2010得分呈负相关，但影响除外(贝塔系数(95%CI)：网络，-3.15(-5.37，-0.92)；增长，-2.44(-4.27，-0.61)；目标，-5.80(-8.74，-2.86))。与BMI的关联几乎都为零。结论：尽管非西班牙裔黑人或青少年的零食摄入模式可能有所不同，但大多数儿童的零食摄入模式是类似餐饮的。2-5岁儿童的饮食可能受益于频繁的进餐模式零食消费，所有儿童的饮食可能受益于在进餐场合减少屏幕使用。
Objective: To describe snacking characteristics and patterns in children and examine associations with diet quality and BMI. Design: Children's weight and height were measured. Participants/adult proxies completed multiple 24 h dietary recalls. Snack occasions were self-identified. Snack patterns were derived for each sample using exploratory factor analysis. Associations of snacking characteristics and patterns with Healthy Eating Index-2010 (HEI-2010) score and BMI were examined using multivariable linear regression models. Setting: Childhood Obesity Prevention and Treatment Research (COPTR) Consortium, USA: NET-Works, GROW, GOALS and IMPACT studies. Participants: Predominantly low-income, racial/ethnic minorities: NET-Works (n 534, 2-4-year-olds); GROW (n 610, 3-5-year-olds); GOALS (n 241, 7-11-year-olds); IMPACT (n 360, 10-13-year-olds). Results: Two snack patterns were derived for three studies: a meal-like pattern and a beverage pattern. The IMPACT study had a similar meal-like pattern and a dairy/grains pattern. A positive association was observed between meal-like pattern adherence and HEI-2010 score (P for trend < 0.01) and snack occasion frequency and HEI-2010 score (beta coefficient (95 % CI): NET-Works, 0.14 (0.04, 0.23); GROW, 0.12 (0.02, 0.21)) among younger children. A preference for snacking while using a screen was inversely associated with HEI-2010 score in all studies except IMPACT (beta coefficient (95 % CI): NET-Works, -3.15 (-5.37, -0.92); GROW, -2.44 (-4.27, -0.61); GOALS, -5.80 (-8.74, -2.86)). Associations with BMI were almost all null. Conclusions: Meal-like and beverage patterns described most children's snack intake, although patterns for non-Hispanic Blacks or adolescents may differ. Diets of 2-5-year-olds may benefit from frequent meal-like pattern snack consumption and diets of all children may benefit from decreasing screen use during eating occasions.