Shan Cai, Yunfei Liu, Jiajia Dang, Panliang Zhong, Di Shi, Ziyue Chen, Peijin Hu, Jun Ma, Yanhui Dong, Yi Song, Hein Raat
{"title":"儿童和青少年多层次因素的聚类:与健康相关的身体素质的关联。","authors":"Shan Cai, Yunfei Liu, Jiajia Dang, Panliang Zhong, Di Shi, Ziyue Chen, Peijin Hu, Jun Ma, Yanhui Dong, Yi Song, Hein Raat","doi":"10.1123/jpah.2023-0051","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To identify the clustering characteristics of individual-, family-, and school-level factors, and examine their associations with health-related physical fitness.</p><p><strong>Methods: </strong>A total of 145,893 Chinese children and adolescents aged 9-18 years participated in this cross-sectional study. The 2-step cluster analysis was conducted to identify clusters among individual-, family-, and school-level factors. Physical fitness indicator was calculated through sex- and age-specific z scores of forced vital capacity, standing long jump, sit-and-reach flexibility, body muscle strength, endurance running, and body mass index.</p><p><strong>Results: </strong>Three, 3, and 5 clusters were automatically identified at individual, family, and school levels, respectively. Students with low physical fitness indicator were more likely to be in the \"longest sedentary time and skipping breakfast\" cluster (odds ratio [OR] = 1.18; 95% confidence interval [CI], 1.12-1.24), and \"physical inactivity and insufficient protein consumption\" cluster (OR = 1.07; 95% CI, 1.02-1.12) at individual level, the \"single children and high parental education level\" cluster (OR = 1.15; 95% CI, 1.10-1.21), and \"no physical activity support and preference\" cluster (OR = 1.30; 95% CI, 1.25-1.36) at family level, and the \"physical education occupied\" cluster (OR = 1.06; 95% CI, 1.01-1.11), and \"insufficient physical education frequency\" cluster (OR = 1.16; 95% CI, 1.08-1.24) at school level. Girls were more vulnerable to individual- and school-level clusters, while boys were more susceptible to family clusters; the younger students were more sensitive to school clusters, and the older students were more susceptible to family clusters (P-interaction < .05).</p><p><strong>Conclusions: </strong>This study confirmed different clusters at multilevel factors and proved their associations with health-related physical fitness, thus providing new perspective for developing targeted interventions.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"29-39"},"PeriodicalIF":2.9000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clustering of Multilevel Factors Among Children and Adolescents: Associations With Health-Related Physical Fitness.\",\"authors\":\"Shan Cai, Yunfei Liu, Jiajia Dang, Panliang Zhong, Di Shi, Ziyue Chen, Peijin Hu, Jun Ma, Yanhui Dong, Yi Song, Hein Raat\",\"doi\":\"10.1123/jpah.2023-0051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To identify the clustering characteristics of individual-, family-, and school-level factors, and examine their associations with health-related physical fitness.</p><p><strong>Methods: </strong>A total of 145,893 Chinese children and adolescents aged 9-18 years participated in this cross-sectional study. The 2-step cluster analysis was conducted to identify clusters among individual-, family-, and school-level factors. Physical fitness indicator was calculated through sex- and age-specific z scores of forced vital capacity, standing long jump, sit-and-reach flexibility, body muscle strength, endurance running, and body mass index.</p><p><strong>Results: </strong>Three, 3, and 5 clusters were automatically identified at individual, family, and school levels, respectively. Students with low physical fitness indicator were more likely to be in the \\\"longest sedentary time and skipping breakfast\\\" cluster (odds ratio [OR] = 1.18; 95% confidence interval [CI], 1.12-1.24), and \\\"physical inactivity and insufficient protein consumption\\\" cluster (OR = 1.07; 95% CI, 1.02-1.12) at individual level, the \\\"single children and high parental education level\\\" cluster (OR = 1.15; 95% CI, 1.10-1.21), and \\\"no physical activity support and preference\\\" cluster (OR = 1.30; 95% CI, 1.25-1.36) at family level, and the \\\"physical education occupied\\\" cluster (OR = 1.06; 95% CI, 1.01-1.11), and \\\"insufficient physical education frequency\\\" cluster (OR = 1.16; 95% CI, 1.08-1.24) at school level. Girls were more vulnerable to individual- and school-level clusters, while boys were more susceptible to family clusters; the younger students were more sensitive to school clusters, and the older students were more susceptible to family clusters (P-interaction < .05).</p><p><strong>Conclusions: </strong>This study confirmed different clusters at multilevel factors and proved their associations with health-related physical fitness, thus providing new perspective for developing targeted interventions.</p>\",\"PeriodicalId\":16812,\"journal\":{\"name\":\"Journal of physical activity & health\",\"volume\":\" \",\"pages\":\"29-39\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of physical activity & health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1123/jpah.2023-0051\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"Print\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of physical activity & health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1123/jpah.2023-0051","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"Print","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Clustering of Multilevel Factors Among Children and Adolescents: Associations With Health-Related Physical Fitness.
Background: To identify the clustering characteristics of individual-, family-, and school-level factors, and examine their associations with health-related physical fitness.
Methods: A total of 145,893 Chinese children and adolescents aged 9-18 years participated in this cross-sectional study. The 2-step cluster analysis was conducted to identify clusters among individual-, family-, and school-level factors. Physical fitness indicator was calculated through sex- and age-specific z scores of forced vital capacity, standing long jump, sit-and-reach flexibility, body muscle strength, endurance running, and body mass index.
Results: Three, 3, and 5 clusters were automatically identified at individual, family, and school levels, respectively. Students with low physical fitness indicator were more likely to be in the "longest sedentary time and skipping breakfast" cluster (odds ratio [OR] = 1.18; 95% confidence interval [CI], 1.12-1.24), and "physical inactivity and insufficient protein consumption" cluster (OR = 1.07; 95% CI, 1.02-1.12) at individual level, the "single children and high parental education level" cluster (OR = 1.15; 95% CI, 1.10-1.21), and "no physical activity support and preference" cluster (OR = 1.30; 95% CI, 1.25-1.36) at family level, and the "physical education occupied" cluster (OR = 1.06; 95% CI, 1.01-1.11), and "insufficient physical education frequency" cluster (OR = 1.16; 95% CI, 1.08-1.24) at school level. Girls were more vulnerable to individual- and school-level clusters, while boys were more susceptible to family clusters; the younger students were more sensitive to school clusters, and the older students were more susceptible to family clusters (P-interaction < .05).
Conclusions: This study confirmed different clusters at multilevel factors and proved their associations with health-related physical fitness, thus providing new perspective for developing targeted interventions.
期刊介绍:
The Journal of Physical Activity and Health (JPAH) publishes original research and review papers examining the relationship between physical activity and health, studying physical activity as an exposure as well as an outcome. As an exposure, the journal publishes articles examining how physical activity influences all aspects of health. As an outcome, the journal invites papers that examine the behavioral, community, and environmental interventions that may affect physical activity on an individual and/or population basis. The JPAH is an interdisciplinary journal published for researchers in fields of chronic disease.