{"title":"基于生活方式的儿童肥胖亚型及其与心脏代谢因素的关系:聚类分析","authors":"Jia-Shuan Huang, Rema Ramakrishnan, Quan-Zhen Liu, Cheng-Rui Wang, Song-Ying Shen, Ming-Xi Huang, Xue-Ling Wei, Xiu Qiu, Jian-Rong He","doi":"10.1111/ijpo.13127","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Lifestyle factors play an important role in the development and management of childhood obesity and its related cardiometabolic complications.</p>\n </section>\n \n <section>\n \n <h3> Objective/Methods</h3>\n \n <p>We aimed to explore childhood obesity subtypes based on lifestyle factors and examine their association with cardiometabolic health. We included 1550 children with obesity from the National Health and Nutrition Examination Survey. Cluster analysis identified obesity subtypes based on four lifestyle factors (physical activity, diet quality, sedentary time and smoking). Multiple linear regression assessed their association with cardiometabolic factors.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Five subtypes of childhood obesity were identified: unhealthy subtype (<i>n</i> = 571; 36.8%), physically active subtype (<i>n</i> = 185; 21.1%), healthy diet subtype (<i>n</i> = 404; 26.1%), smoking subtype (<i>n</i> = 125; 8.1%) and non-sedentary subtype (<i>n</i> = 265; 17.1%). Compared with the unhealthy subtype, the physically active subtype had lower insulin and HOMA-IR levels, and smoking subtype was associated with lower HDL levels. When compared with children with normal weight, all obesity subtypes had worse cardiometabolic profile, except the physically active subtype who had similar DBP, HbA1c and TC levels; smoking subtype who had similar TC levels; and healthy diet and non-sedentary subtypes who had similar DBP levels.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Children of different lifestyle-based obesity subtypes might have different cardiometabolic risks. Our new classification system might help personalize assessment of childhood obesity.</p>\n </section>\n </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lifestyle-based subtypes of childhood obesity and their association with cardiometabolic factors: A cluster analysis\",\"authors\":\"Jia-Shuan Huang, Rema Ramakrishnan, Quan-Zhen Liu, Cheng-Rui Wang, Song-Ying Shen, Ming-Xi Huang, Xue-Ling Wei, Xiu Qiu, Jian-Rong He\",\"doi\":\"10.1111/ijpo.13127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Lifestyle factors play an important role in the development and management of childhood obesity and its related cardiometabolic complications.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective/Methods</h3>\\n \\n <p>We aimed to explore childhood obesity subtypes based on lifestyle factors and examine their association with cardiometabolic health. We included 1550 children with obesity from the National Health and Nutrition Examination Survey. Cluster analysis identified obesity subtypes based on four lifestyle factors (physical activity, diet quality, sedentary time and smoking). Multiple linear regression assessed their association with cardiometabolic factors.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Five subtypes of childhood obesity were identified: unhealthy subtype (<i>n</i> = 571; 36.8%), physically active subtype (<i>n</i> = 185; 21.1%), healthy diet subtype (<i>n</i> = 404; 26.1%), smoking subtype (<i>n</i> = 125; 8.1%) and non-sedentary subtype (<i>n</i> = 265; 17.1%). Compared with the unhealthy subtype, the physically active subtype had lower insulin and HOMA-IR levels, and smoking subtype was associated with lower HDL levels. When compared with children with normal weight, all obesity subtypes had worse cardiometabolic profile, except the physically active subtype who had similar DBP, HbA1c and TC levels; smoking subtype who had similar TC levels; and healthy diet and non-sedentary subtypes who had similar DBP levels.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Children of different lifestyle-based obesity subtypes might have different cardiometabolic risks. Our new classification system might help personalize assessment of childhood obesity.</p>\\n </section>\\n </div>\",\"PeriodicalId\":217,\"journal\":{\"name\":\"Pediatric Obesity\",\"volume\":\"19 7\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-05-15\",\"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.13127\",\"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.13127","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
Lifestyle-based subtypes of childhood obesity and their association with cardiometabolic factors: A cluster analysis
Background
Lifestyle factors play an important role in the development and management of childhood obesity and its related cardiometabolic complications.
Objective/Methods
We aimed to explore childhood obesity subtypes based on lifestyle factors and examine their association with cardiometabolic health. We included 1550 children with obesity from the National Health and Nutrition Examination Survey. Cluster analysis identified obesity subtypes based on four lifestyle factors (physical activity, diet quality, sedentary time and smoking). Multiple linear regression assessed their association with cardiometabolic factors.
Results
Five subtypes of childhood obesity were identified: unhealthy subtype (n = 571; 36.8%), physically active subtype (n = 185; 21.1%), healthy diet subtype (n = 404; 26.1%), smoking subtype (n = 125; 8.1%) and non-sedentary subtype (n = 265; 17.1%). Compared with the unhealthy subtype, the physically active subtype had lower insulin and HOMA-IR levels, and smoking subtype was associated with lower HDL levels. When compared with children with normal weight, all obesity subtypes had worse cardiometabolic profile, except the physically active subtype who had similar DBP, HbA1c and TC levels; smoking subtype who had similar TC levels; and healthy diet and non-sedentary subtypes who had similar DBP levels.
Conclusion
Children of different lifestyle-based obesity subtypes might have different cardiometabolic risks. Our new classification system might help personalize assessment of childhood obesity.
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.