Jennifer Zink, Benmei Liu, Chih-Hsiang Yang, Kirsten A. Herrick, David Berrigan
{"title":"美国青少年年龄、性别和种族/民族对电视观看、电脑使用和肥胖的差异关联:一项横断面NHANES分析","authors":"Jennifer Zink, Benmei Liu, Chih-Hsiang Yang, Kirsten A. Herrick, David Berrigan","doi":"10.1111/ijpo.13070","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Time spent on screens and adiposity change rapidly from childhood to adolescence, with differences by gender and race/ethnicity.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>More research during the specific age ranges in the demographic subgroups identified here could increase our understanding of tailored interventions in youth.</p>\n </section>\n </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 10","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differential associations between television viewing, computer use, and adiposity by age, gender, and race/ethnicity in United States youth: A cross-sectional NHANES analysis\",\"authors\":\"Jennifer Zink, Benmei Liu, Chih-Hsiang Yang, Kirsten A. Herrick, David Berrigan\",\"doi\":\"10.1111/ijpo.13070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Time spent on screens and adiposity change rapidly from childhood to adolescence, with differences by gender and race/ethnicity.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>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).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>More research during the specific age ranges in the demographic subgroups identified here could increase our understanding of tailored interventions in youth.</p>\\n </section>\\n </div>\",\"PeriodicalId\":217,\"journal\":{\"name\":\"Pediatric Obesity\",\"volume\":\"18 10\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatric Obesity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ijpo.13070\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pediatric Obesity","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijpo.13070","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
Differential associations between television viewing, computer use, and adiposity by age, gender, and race/ethnicity in United States youth: A cross-sectional NHANES analysis
Background
Time spent on screens and adiposity change rapidly from childhood to adolescence, with differences by gender and race/ethnicity.
Objective
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.
Methods
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.
Results
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).
Conclusions
More research during the specific age ranges in the demographic subgroups identified here could increase our understanding of tailored interventions in youth.
期刊介绍:
Pediatric Obesity is a peer-reviewed, monthly journal devoted to research into obesity during childhood and adolescence. The topic is currently at the centre of intense interest in the scientific community, and is of increasing concern to health policy-makers and the public at large.
Pediatric Obesity has established itself as the leading journal for high quality papers in this field, including, but not limited to, the following:
Genetic, molecular, biochemical and physiological aspects of obesity – basic, applied and clinical studies relating to mechanisms of the development of obesity throughout the life course and the consequent effects of obesity on health outcomes
Metabolic consequences of child and adolescent obesity
Epidemiological and population-based studies of child and adolescent overweight and obesity
Measurement and diagnostic issues in assessing child and adolescent adiposity, physical activity and nutrition
Clinical management of children and adolescents with obesity including studies of treatment and prevention
Co-morbidities linked to child and adolescent obesity – mechanisms, assessment, and treatment
Life-cycle factors eg familial, intrauterine and developmental aspects of child and adolescent obesity
Nutrition security and the "double burden" of obesity and malnutrition
Health promotion strategies around the issues of obesity, nutrition and physical activity in children and adolescents
Community and public health measures to prevent overweight and obesity in children and adolescents.