{"title":"身体成分评估在推进生命周期研究和临床健康风险评估中的关键作用。","authors":"Jonathan P Bennett, Soo Lim","doi":"10.7570/jomes25010","DOIUrl":null,"url":null,"abstract":"<p><p>Obesity and low muscle mass are major public health concerns, especially in older adults, due to their strong links to cardiovascular disease, cancer, and mortality. Beyond body mass index, body composition metrics-skeletal muscle, fat mass, and visceral adipose tissue-offer deeper insights into nutrition and disease risk. These measures are essential for both cross-sectional assessments and longitudinal tracking, providing a clearer picture of health changes over time. Selecting body composition assessment tools requires balancing cost, practicality, accuracy, and data quality. The right tools enhance research, refine clinical assessments, and inform targeted interventions. Aligning methods with specific research or clinical goals improves disease risk stratification and advances personalized treatments. This review highlights the importance of integrating body composition assessment into research and clinical practice, addressing knowledge gaps across diverse populations and emphasizing its potential in advancing precision medicine. It also highlights recent advancements in body composition assessment techniques that warrant consideration when evaluating techniques for a specific application. Future efforts should focus on refining these tools, expanding their accessibility, and developing comprehensive risk models that incorporate body composition alongside behavioral, environmental, and genetic factors to improve disease prediction and prevention strategies.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Critical Role of Body Composition Assessment in Advancing Research and Clinical Health Risk Assessment across the Lifespan.\",\"authors\":\"Jonathan P Bennett, Soo Lim\",\"doi\":\"10.7570/jomes25010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Obesity and low muscle mass are major public health concerns, especially in older adults, due to their strong links to cardiovascular disease, cancer, and mortality. Beyond body mass index, body composition metrics-skeletal muscle, fat mass, and visceral adipose tissue-offer deeper insights into nutrition and disease risk. These measures are essential for both cross-sectional assessments and longitudinal tracking, providing a clearer picture of health changes over time. Selecting body composition assessment tools requires balancing cost, practicality, accuracy, and data quality. The right tools enhance research, refine clinical assessments, and inform targeted interventions. Aligning methods with specific research or clinical goals improves disease risk stratification and advances personalized treatments. This review highlights the importance of integrating body composition assessment into research and clinical practice, addressing knowledge gaps across diverse populations and emphasizing its potential in advancing precision medicine. It also highlights recent advancements in body composition assessment techniques that warrant consideration when evaluating techniques for a specific application. Future efforts should focus on refining these tools, expanding their accessibility, and developing comprehensive risk models that incorporate body composition alongside behavioral, environmental, and genetic factors to improve disease prediction and prevention strategies.</p>\",\"PeriodicalId\":45386,\"journal\":{\"name\":\"Journal of Obesity & Metabolic Syndrome\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Obesity & Metabolic Syndrome\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7570/jomes25010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Obesity & Metabolic Syndrome","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7570/jomes25010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
The Critical Role of Body Composition Assessment in Advancing Research and Clinical Health Risk Assessment across the Lifespan.
Obesity and low muscle mass are major public health concerns, especially in older adults, due to their strong links to cardiovascular disease, cancer, and mortality. Beyond body mass index, body composition metrics-skeletal muscle, fat mass, and visceral adipose tissue-offer deeper insights into nutrition and disease risk. These measures are essential for both cross-sectional assessments and longitudinal tracking, providing a clearer picture of health changes over time. Selecting body composition assessment tools requires balancing cost, practicality, accuracy, and data quality. The right tools enhance research, refine clinical assessments, and inform targeted interventions. Aligning methods with specific research or clinical goals improves disease risk stratification and advances personalized treatments. This review highlights the importance of integrating body composition assessment into research and clinical practice, addressing knowledge gaps across diverse populations and emphasizing its potential in advancing precision medicine. It also highlights recent advancements in body composition assessment techniques that warrant consideration when evaluating techniques for a specific application. Future efforts should focus on refining these tools, expanding their accessibility, and developing comprehensive risk models that incorporate body composition alongside behavioral, environmental, and genetic factors to improve disease prediction and prevention strategies.
期刊介绍:
The journal was launched in 1992 and diverse studies on obesity have been published under the title of Journal of Korean Society for the Study of Obesity until 2004. Since 2017, volume 26, the title is now the Journal of Obesity & Metabolic Syndrome (pISSN 2508-6235, eISSN 2508-7576). The journal is published quarterly on March 30th, June 30th, September 30th and December 30th. The official title of the journal is now "Journal of Obesity & Metabolic Syndrome" and the abbreviated title is "J Obes Metab Syndr". Index words from medical subject headings (MeSH) list of Index Medicus are included in each article to facilitate article search. Some or all of the articles of this journal are included in the index of PubMed, PubMed Central, Scopus, Embase, DOAJ, Ebsco, KCI, KoreaMed, KoMCI, Science Central, Crossref Metadata Search, Google Scholar, and Emerging Sources Citation Index (ESCI).