Camila E. Orsso, Flavio T. Vieira, Nandini Basuray, Reena L. Duke, Mohammadreza Pakseresht, Daniela A. Rubin, Faria Ajamian, Geoff D. C. Ball, Catherine J. Field, Steven B. Heymsfield, Mario Siervo, Carla M. Prado, Andrea M. Haqq
{"title":"肥胖儿童和青少年的代谢负荷能力模型与心脏代谢健康。","authors":"Camila E. Orsso, Flavio T. Vieira, Nandini Basuray, Reena L. Duke, Mohammadreza Pakseresht, Daniela A. Rubin, Faria Ajamian, Geoff D. C. Ball, Catherine J. Field, Steven B. Heymsfield, Mario Siervo, Carla M. Prado, Andrea M. Haqq","doi":"10.1111/ijpo.13098","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>The metabolic load-capacity index (LCI), which represents the ratio of adipose to skeletal muscle tissue-containing compartments, is potentially associated with cardiometabolic diseases.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>To examine the associations between the LCI and cardiometabolic risk factors in children and youth with obesity.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This is a cross-sectional study including 10–18 years-old participants with a BMI of ≥95<sup>th</sup>. LCI by air-displacement plethysmography (ADP) was calculated as fat mass divided by fat-free mass, and LCI by ultrasound (US) as subcutaneous adipose tissue divided by skeletal muscle thickness. Sex-specific medians stratified participants into high versus low LCI. Single (inflammation, insulin resistance, dyslipidemia and hypertension) and clustered cardiometabolic risk factors were evaluated. Linear and logistic regression models tested the associations between these variables, adjusted for sexual maturation.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Thirty-nine participants (43.6% males; 59% mid-late puberty) aged 12.5 (IQR: 11.1–13.5) years were included. LCI by ADP was positively associated with markers of inflammation and dyslipidemia; having a higher LCI predicted dyslipidemia in logistic regression. Similarly, LCI by US was positively associated with markers of dyslipidemia and blood pressure. In mid-late pubertal participants, LCI by US was positively associated with markers of insulin resistance and inflammation.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Participants with unfavourable cardiometabolic profile had higher LCI, suggesting its potential use for predicting and monitoring cardiometabolic health in clinical settings.</p>\n </section>\n </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 3","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13098","citationCount":"0","resultStr":"{\"title\":\"The metabolic load-capacity model and cardiometabolic health in children and youth with obesity\",\"authors\":\"Camila E. Orsso, Flavio T. Vieira, Nandini Basuray, Reena L. Duke, Mohammadreza Pakseresht, Daniela A. Rubin, Faria Ajamian, Geoff D. C. Ball, Catherine J. Field, Steven B. Heymsfield, Mario Siervo, Carla M. Prado, Andrea M. Haqq\",\"doi\":\"10.1111/ijpo.13098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>The metabolic load-capacity index (LCI), which represents the ratio of adipose to skeletal muscle tissue-containing compartments, is potentially associated with cardiometabolic diseases.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>To examine the associations between the LCI and cardiometabolic risk factors in children and youth with obesity.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This is a cross-sectional study including 10–18 years-old participants with a BMI of ≥95<sup>th</sup>. LCI by air-displacement plethysmography (ADP) was calculated as fat mass divided by fat-free mass, and LCI by ultrasound (US) as subcutaneous adipose tissue divided by skeletal muscle thickness. Sex-specific medians stratified participants into high versus low LCI. Single (inflammation, insulin resistance, dyslipidemia and hypertension) and clustered cardiometabolic risk factors were evaluated. Linear and logistic regression models tested the associations between these variables, adjusted for sexual maturation.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Thirty-nine participants (43.6% males; 59% mid-late puberty) aged 12.5 (IQR: 11.1–13.5) years were included. LCI by ADP was positively associated with markers of inflammation and dyslipidemia; having a higher LCI predicted dyslipidemia in logistic regression. Similarly, LCI by US was positively associated with markers of dyslipidemia and blood pressure. In mid-late pubertal participants, LCI by US was positively associated with markers of insulin resistance and inflammation.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Participants with unfavourable cardiometabolic profile had higher LCI, suggesting its potential use for predicting and monitoring cardiometabolic health in clinical settings.</p>\\n </section>\\n </div>\",\"PeriodicalId\":217,\"journal\":{\"name\":\"Pediatric Obesity\",\"volume\":\"19 3\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13098\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatric Obesity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ijpo.13098\",\"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.13098","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
The metabolic load-capacity model and cardiometabolic health in children and youth with obesity
Background
The metabolic load-capacity index (LCI), which represents the ratio of adipose to skeletal muscle tissue-containing compartments, is potentially associated with cardiometabolic diseases.
Objectives
To examine the associations between the LCI and cardiometabolic risk factors in children and youth with obesity.
Methods
This is a cross-sectional study including 10–18 years-old participants with a BMI of ≥95th. LCI by air-displacement plethysmography (ADP) was calculated as fat mass divided by fat-free mass, and LCI by ultrasound (US) as subcutaneous adipose tissue divided by skeletal muscle thickness. Sex-specific medians stratified participants into high versus low LCI. Single (inflammation, insulin resistance, dyslipidemia and hypertension) and clustered cardiometabolic risk factors were evaluated. Linear and logistic regression models tested the associations between these variables, adjusted for sexual maturation.
Results
Thirty-nine participants (43.6% males; 59% mid-late puberty) aged 12.5 (IQR: 11.1–13.5) years were included. LCI by ADP was positively associated with markers of inflammation and dyslipidemia; having a higher LCI predicted dyslipidemia in logistic regression. Similarly, LCI by US was positively associated with markers of dyslipidemia and blood pressure. In mid-late pubertal participants, LCI by US was positively associated with markers of insulin resistance and inflammation.
Conclusions
Participants with unfavourable cardiometabolic profile had higher LCI, suggesting its potential use for predicting and monitoring cardiometabolic health in clinical settings.
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.