Adolescent Body Mass Index and Exposure to Peers with Overweight and Obesity: A Structural Equation Model Approach to Longitudinal Network Data.
Adolescent Body Mass Index and Exposure to Peers with Overweight and Obesity: A Structural Equation Model Approach to Longitudinal Network Data.
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青少年体重指数和与超重和肥胖同龄人的接触：纵向网络数据的结构方程模型方法。
DOI：
10.1089/chi.2021.0270
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Valente,ThomasW
中科院分区：
文献类型：
--
作者：
Piombo,SarahE;Huh,Jimi;Valente,ThomasW
目的：大量证据表明，社交网络影响着各种各样的健康行为。本研究调查是否有超重/肥胖的朋友在一个人的社交网络（网络曝光）可以预测整个高中的身体质量指数（BMI）的变化在不同的城市人口的students.Methods：种族和种族多样化的学生从五所高中在洛杉矶县进行了调查，在整个高中的四个时间点，从2010年至2013年（N= 2091）。调查包括学生的社交网络、人口统计学和健康相关信息等问题。计算了所有提供身高和体重信息的学生的BMI和体重类别（≥ 50%）。潜在的增长曲线模型被用来评估BMI的增长轨迹和网络暴露的时间变化的影响，超重/肥胖的朋友，同时控制人口统计学协变量。结果：西班牙裔学生有一个显着较高的初始BMI相比，非西班牙裔学生（p< 0.01）。BMI增长的时间呈显著的正斜率（p< 0.01）。与超重/肥胖的朋友接触更多的个人网络与BMI平均显著增加0.65点相关在第一个随访时间点（T2），BMI平均显著增加0.62点（p< 0.05），（p< 0.01），同时控制协变量。结论：使用结构方程模型来了解BMI和社交网络之间的关系，我们发现，超重/肥胖的同龄人的网络暴露增加与较高的个人BMI相关，这表明友谊可能会随着时间的推移影响青少年的体重状况。
Purpose:Considerable evidence has shown that social networks influence a wide variety of health behaviors. This study investigates whether having friends with overweight/obesity in one's social network (network exposure) can predict changes in body mass index (BMI) throughout high school in a diverse urban population of students.Methods:Racially and ethnically diverse students from five high schools in Los Angeles County were surveyed at four time points throughout high school from 2010 to 2013 (N= 2091). Surveys included questions on students' social networks, demographics, and health-related information. BMI and weight categories were calculated for all students who provided height and weight information (∼50%). A latent growth curve model was used to assess the growth trajectory of BMI and the time-varying effect of network exposure to friends with overweight/obesity while controlling for demographic covariates.Results:Hispanic students had a significantly higher initial BMI compared with non-Hispanic students (p< 0.01). There was a significant positive slope for time on BMI growth (p< 0.01). Greater personal network exposure to friends with overweight/obesity was associated with a significant 0.65-point average increase in BMI (p< 0.05) at the first follow-up time point (T2) and a significant 0.62-point average increase in BMI (p< 0.01) at the last follow-up (T4) while controlling for covariates.Conclusions:Using structural equation modeling to understand the relationship between BMI and social networks, we found that increased network exposure to peers with overweight/obesity is associated with higher individual BMI, demonstrating that friendships may influence adolescents' weight status over time.
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影响因子：
--
作者：
Woo, Jessica G.
通讯作者：
Woo, Jessica G.
影响因子：
4.5
作者：
Lounassalo I;Hirvensalo M;Palomäki S;Salin K;Tolvanen A;Pahkala K;Rovio S;Fogelholm M;Yang X;Hutri-Kähönen N;Raitakari OT;Tammelin TH
通讯作者：
Tammelin TH
影响因子：
5.9
作者：
Soltero EG;Peña A;Gonzalez V;Hernandez E;Mackey G;Callender C;Dave JM;Thompson D
通讯作者：
Thompson D
DOI：
10.3390/ijerph121113711
发表时间：
2015-10-28
影响因子：
--
作者：
Wiium N;Breivik K;Wold B
通讯作者：
Wold B
社交网络与健康：模型、方法和应用
DOI：
10.1093/acprof:oso/9780195301014.001.0001
发表时间：
2010
影响因子：
3.3
作者：
T. Valente
通讯作者：
T. Valente