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Liu X, He M, Li Y. Adult obesity diagnostic tool: A narrative review. Medicine (Baltimore) 2024; 103:e37946. [PMID: 38669386 PMCID: PMC11049696 DOI: 10.1097/md.0000000000037946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
Obesity is a complex chronic metabolic disorder characterized by abnormalities in lipid metabolism. Obesity is not only associated with various chronic diseases but also has negative effects on physiological functions such as the cardiovascular, endocrine and immune systems. As a global health problem, the incidence and prevalence of obesity have increased significantly in recent years. Therefore, understanding assessment methods and measurement indicators for obesity is critical for early screening and effective disease control. Current methods for measuring obesity in adult include density calculation, anthropometric measurements, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, computerized imaging, etc. Measurement indicators mainly include weight, hip circumference, waist circumference, neck circumference, skinfold thickness, etc. This paper provides a comprehensive review of the literature to date, summarizes and analyzes various assessment methods and measurement indicators for adult obesity, and provides insights and guidance for the innovation of obesity assessment indicators.
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Affiliation(s)
- Xiaolong Liu
- School of Life & Environmental Sciences, Guilin University of Electronic Technology, Guilin, Guangxi, China
- School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi, China
- Rehabilitation College, Guilin Life and Health Career Technical College, Guilin, Guangxi, China
| | - Mengxiao He
- School of Physical Education and Health, Guilin University, Guilin, Guangxi, China
| | - Yi Li
- School of Physical Education and Health, Guilin University, Guilin, Guangxi, China
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Li G, Yan H, Jing L, Tian Y, Li Y, Sun Q, Sun J, Yue L, Xing L, Liu S. Neck circumference as an additional predictor of cardiovascular disease mortality: A multi-center prospective population-based study in northeastern China. Prev Med 2024; 180:107859. [PMID: 38228252 DOI: 10.1016/j.ypmed.2024.107859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/12/2024] [Accepted: 01/13/2024] [Indexed: 01/18/2024]
Abstract
BACKGROUND AND AIMS This study aimed to assess the potential of neck circumference (NC) and neck-to-height ratio (NHR) as predictors of future cardiovascular disease (CVD) mortality in a general population from Northeastern China. METHODS A multi-center prospective study was conducted in Northeastern China, involving 18, 796 participants. The associations between NC or NHR and the incidence of overall CVD mortality, stroke mortality, and coronary heart disease (CHD) mortality were examined using multivariate Cox regression models. Hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) were calculated. Reclassification analyses were conducted to determine the incremental predictive value of NC or NHR. RESULTS NC was significantly associated with the risk of CVD mortality, independent of other anthropometric measurements for obesity. Individuals in the highest quartile of NC had a 1.83-fold (95% CI 1.29 to 2.61) and a 2.40-fold (95% CI 1.45 to 4.00) higher risk of overall CVD mortality and CHD mortality, respectively. Larger NC was significantly related to a heightened risk of ischemic stroke mortality, although no such association was observed with hemorrhagic stroke mortality. Furthermore, the risk of overall CVD mortality, stroke mortality, and CHD mortality increased by approximately 1.21 to 1.25 times per 1-SD change in NC. Similar findings were observed for NHR. The percentages of correct classification of overall CVD mortality improved by 12.1% and 16.3% after the addition of NC or NHR into established models, respectively. CONCLUSIONS NC and NHR might be promising predictors of CVD mortality, with higher values indicating greater risk.
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Affiliation(s)
- Guangxiao Li
- Department of Medical Record Management Center, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Han Yan
- Institute of Preventive Medicine, China Medical University, Shenyang, Liaoning 110001, China; Department of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, People's Republic of China
| | - Li Jing
- Institute of Preventive Medicine, China Medical University, Shenyang, Liaoning 110001, China; Department of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, People's Republic of China
| | - Yuanmeng Tian
- Institute of Preventive Medicine, China Medical University, Shenyang, Liaoning 110001, China; Department of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, People's Republic of China
| | - Ying Li
- Office of Scientific Research Management, School of Public Health, China Medical University, Shenyang 110122, China
| | - Qun Sun
- Department of Chronic Disease, Disease Control and Prevention of Chao Yang City, Chaoyang, Liaoning, China
| | - Jixu Sun
- Department of Chronic Disease Prevention and Control, Disease Control and Prevention of Dan Dong City, Dandong, China
| | - Ling Yue
- Department of Ultrasound, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110033, China
| | - Liying Xing
- Institute of Preventive Medicine, China Medical University, Shenyang, Liaoning 110001, China; Department of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, People's Republic of China.
| | - Shuang Liu
- Department of Ultrasound, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110033, China.
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