Latent Profiles of Health Behaviors in Rural Children with Overweight and Obesity.
Latent Profiles of Health Behaviors in Rural Children with Overweight and Obesity.
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DOI：
10.1093/jpepsy/jsaa071
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发表时间：
2020-10
影响因子：
3.6
通讯作者：
Tarrah Mitchell;D. Janicke;Ke Ding;E. Moorman;M. Basch;Crystal S. Lim;A. Mathews
中科院分区：
文献类型：
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作者：
Tarrah Mitchell;D. Janicke;Ke Ding;E. Moorman;M. Basch;Crystal S. Lim;A. Mathews
目的了解农村地区学龄儿童超重/肥胖(OW/OB)的饮食、活动和睡眠模式，检验人口统计学预测因素，并探讨其与心理社会功能的关系。方法对163名儿童(MAGE=9.8)及其家长进行问卷调查。孩子们佩戴加速计来评估身体活动和睡眠时间。用食物频率调查问卷评估水果和蔬菜(F/V)和含糖饮料(SSB)的摄入量。收集情绪、社会和学业健康相关生活质量(HRQOL)、同伴受害、社交技能和社会问题行为的自我报告，以及HRQOL的父母报告。进行了潜变量混合模型(LVMM)。结果睡眠对侧貌分化无显著影响，睡眠被去除。(A)低F/V+低SSB+低活性；(B)低F/V+低SSB+中等活性；(C)高F/V+高SSB+低活性；(D)中等F/V+中等SSB+高活性。在控制了儿童年龄后，特征1中儿童的父母报告的儿童社会HRQOL显著低于特征2和4中的儿童的父母。特征4中的儿童报告的受害程度显著低于特征3中的儿童。结论农村儿童中存在OW/OB亚群，他们从事健康和不健康行为的不同组合。LVMM有可能为未来的干预措施提供信息，并确定OW/OB儿童群体的需求。
OBJECTIVE The objectives were to identify profiles of school-age children with overweight and obesity (OW/OB) from rural counties based on patterns of diet, activity, and sleep, to examine demographic predictors, and to examine whether profiles were differentially associated with psychosocial functioning. METHODS Participants included 163 children (Mage = 9.8) and parents. Children wore accelerometers to assess physical activity and sleep duration. Consumption of fruits and vegetables (F/V) and sugar-sweetened beverages (SSB) was assessed with a food frequency questionnaire. Self-report of emotional, social, and academic health-related quality of life (HRQOL), peer victimization, social skills, and social problem behaviors was collected, as well as parent-report of HRQOL. Latent variable mixture modeling (LVMM) was conducted. RESULTS Sleep did not significantly contribute to profile differentiation and was removed. Four profiles emerged: (a) Low F/V + Low SSB + Low activity, (b) Low F/V + Low SSB + Moderate activity, (c) High F/V + High SSB + Low activity, and (d) Moderate F/V + Moderate SSB + High activity. Older children were more likely to be in profile 1. After controlling for child age, parents of children in profile 1 reported significantly lower child social HRQOL than parents of children in profiles 2 and 4. Children in profile 4 reported experiencing significantly lower victimization than those in profile 3. CONCLUSIONS There are subgroups of rural children with OW/OB that engage in various combinations of healthy and unhealthy behaviors. LVMM has the potential to inform future interventions and identify needs of groups of children with OW/OB.