Zink Jennifer, Liu Benmei, Yang Chih-Hsiang, Herrick Kirsten A, Berrigan David
Health Behaviors Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Statistical Research and Applications Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Pediatr Obes. 2023 Oct;18(10):e13070. doi: 10.1111/ijpo.13070. Epub 2023 Aug 14.
Time spent on screens and adiposity change rapidly from childhood to adolescence, with differences by gender and race/ethnicity.
Apply time-varying effect models (TVEMs) to a nationally representative sample of youth to identify the age ranges when the cross-sectional associations between television viewing, computer use, and adiposity are significant.
Data from 8 to 15-year-olds (n = 3593) from the National Health and Nutrition Examination Survey (2011-2018) were extracted. TVEMs estimated the associations between television viewing, computer use, and fat mass index as dynamic functions of the participants' age, stratified by gender and race/ethnicity.
TVEMs revealed age-specific statistically significant associations that differed by gender and race/ethnicity. Notably, computer use was related to higher adiposity in non-Hispanic White females aged 9.3-11.4 years (slope β-range: 0.1-0.2) and in non-Hispanic Black females older than 14.8 years (β-range: 0.1-0.5). In males, these age windows were 13.5-15.0 years (non-Hispanic White, β-range: 0.1-0.2), 11.4-13.0 years (non-Hispanic Black, β-range: 0.1-0.14), and older than 13.0 years (Hispanic, β-range: 0.1-0.4).
More research during the specific age ranges in the demographic subgroups identified here could increase our understanding of tailored interventions in youth.
从童年到青春期，花在屏幕上的时间和肥胖程度变化迅速，且存在性别和种族/民族差异。
将时变效应模型（TVEMs）应用于全国具有代表性的青年样本，以确定电视观看、电脑使用与肥胖之间的横断面关联显著的年龄范围。
提取了来自国家健康与营养检查调查（2011 - 2018年）的8至15岁儿童（n = 3593）的数据。TVEMs估计了电视观看、电脑使用与脂肪量指数之间的关联，将其作为参与者年龄的动态函数，并按性别和种族/民族进行分层。
TVEMs显示出因性别和种族/民族而异的特定年龄的统计学显著关联。值得注意的是，在9.3至11.4岁的非西班牙裔白人女性（斜率β范围：0.1 - 0.2）和14.8岁以上的非西班牙裔黑人女性（β范围：0.1 - 0.5）中，电脑使用与较高的肥胖程度相关。在男性中，这些年龄窗口分别为13.5至15.0岁（非西班牙裔白人，β范围：0.1 - 0.2）、11.4至13.0岁（非西班牙裔黑人，β范围：0.1 - 0.14）以及13.0岁以上（西班牙裔，β范围：0.1 - 0.4）。
在此处确定的特定年龄范围内，对不同人口亚组进行更多研究，可能会增进我们对针对青年的量身定制干预措施的理解。
