Center for American Indian and Rural Health Equity, Montana State University, Bozeman, MT.
School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR.
J Nutr Educ Behav. 2019 Feb;51(2):190-198. doi: 10.1016/j.jneb.2018.07.011. Epub 2018 Sep 18.
To describe sociodemographic factors and health behaviors among American Indian (AI) families with young children and determine predictors of adult and child weight status among these factors.
Descriptive, cross-sectional baseline data.
One urban area and 4 rural AI reservations nationwide.
A total of 450 AI families with children aged 2-5 years participating in the Healthy Children, Strong Families 2 intervention.
Baseline data from a healthy lifestyles intervention.
Child body mass index (BMI) z-score and adult BMI, and multiple healthy lifestyle outcomes.
Descriptive statistics and stepwise regression.
Adult and child combined overweight and obesity rates were high: 82% and 40%, respectively. Food insecurity was high (61%). Multiple lifestyle behaviors, including fruit and vegetable and sugar-sweetened beverage consumption, adult physical activity, and child screen time, did not meet national recommendations. Adult sleep was adequate but children had low overnight sleep duration of 10 h/d. Significant predictors of child obesity included more adults in the household (P = .003; β = 0.153), an adult AI caregiver (P = .02; β = 0.116), high adult BMI (P = .001; β = 0.176), gestational diabetes, high child birth weight (P < .001; β = 0.247), and the family activity and nutrition score (P = .04; β = 0.130).
We found multiple child-, adult-, and household-level factors influence early childhood obesity in AI children, highlighting the need for interventions to mitigate the modifiable factors identified in this study, including early life influences, home environments, and health behaviors.
描述有年幼子女的美洲印第安(AI)家庭的社会人口统计学因素和健康行为,并确定这些因素中成年人和儿童体重状况的预测因素。
描述性、横断面基线数据。
全国一个城市和 4 个农村 AI 保留地。
共有 450 个有 2-5 岁儿童的 AI 家庭参加了健康儿童、强大家庭 2 干预。
健康生活方式干预的基线数据。
儿童体重指数(BMI)z 分数和成人 BMI,以及多个健康生活方式结果。
描述性统计和逐步回归。
成年人和儿童的超重和肥胖率都很高:分别为 82%和 40%。粮食不安全问题严重(61%)。包括水果和蔬菜以及含糖饮料摄入、成人身体活动和儿童屏幕时间在内的多种生活方式行为不符合国家建议。成年人的睡眠充足,但儿童的夜间睡眠时间仅为 10 小时/d。儿童肥胖的显著预测因素包括家庭中成年人数量较多(P =.003;β=0.153)、成年人是 AI 照顾者(P =.02;β=0.116)、成人 BMI 较高(P =.001;β=0.176)、妊娠糖尿病、高出生体重(P<.001;β=0.247)以及家庭活动和营养评分(P =.04;β=0.130)。
我们发现多个儿童、成人和家庭层面的因素影响 AI 儿童的幼儿肥胖,这突显了需要干预措施来减轻本研究中确定的可改变因素的必要性,包括早期生活影响、家庭环境和健康行为。