ArticleScientific reports2022
Effects of age and gender on body composition indices as predictors of mortality in middle-aged and old people.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- The relationship between abdominal fat and sleep quality after combined exercise in patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2025Trial
- Beyond BMI: an interpretable integrated body composition index from low-dose chest CT for all-cause mortality risk stratification: a multicentre study.medRxiv : the preprint server for health sciences · 2026Article
- Visceral Obesity and Its Complications: The Role of Bioelectrical Impedance Analysis in Longevity Medicine.Metabolites · 2026Review
- Association Between the Creatinine-to-Body Weight Ratio and All-Cause Mortality in a Rural Japanese Community.Cureus · 2025Article
- Are we giving too much weight to lean mass loss?Molecular metabolism · 2025Review
- Is BMI Enough? Body Composition Profiles and Cardiometabolic Risk in Hmar Tribe of Northeast India.Journal of racial and ethnic health disparities · 2025Article
- A framework of biomarkers for adipose tissue aging: a consensus statement by the Aging Biomarker Consortium.Life medicine · 2025Article
- Pre-fracture functional status and 30-day recovery predict 5-year survival in patients with hip fracture: findings from a prospective real-world study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Observational
- Protocol for the San Diego Nathan Shock Center Clinical Cohort: a new resource for studies of human aging.BMJ open · 2024Article
- Validity and agreement between dual-energy X-ray absorptiometry, anthropometry and bioelectrical impedance in the estimation of fat mass in young adults.Frontiers in nutrition · 2024Article
- Review
- Relationship between body composition and pulmonary function in the general population-a cross-sectional study in Ningxia.Scientific reports · 2023Article
- The Use of Practical Measures to Determine Body Composition of Older People.The Malaysian journal of medical sciences : MJMS · 2023Article
- Age- and sex-related trends in body composition among Beijing adults aged 20-60 years: a cross-sectional study.BMC public health · 2023Article
- Association between creatinine to body weight ratio and all-cause mortality: a cohort study of NHANES.Renal failure · 2023Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To determine whether body composition indices interact with age and gender as a predictor of all-cause mortality, 1200 participants at least 40 years of age were recruited in 2009 and 2010. A multi-frequency bioelectrical impedance analysis device was used to measure each participant's body composition indices, including the fat mass index (FMI), fat free mass index (FFMI), skeletal muscle mass index (SMMI), and visceral fat area index (VFAI). A baseline questionnaire was used to collect demographic information about lifestyle habits, socioeconomic status, and medical conditions. All claimed records of death from 2009 to 2018 in the National Health Insurance Research Databank were identified. The all-cause mortality rate was 8.67% after a mean follow-up period of 5.86 ± 2.39 person-years. The Cox proportional hazard model analysis showed significantly negative associations between FFMI or SMMI with all-cause mortality in the total group and those aged ≥ 65 y/o. The FFMI and SMMI were negative predictors of mortality in both genders. The FMI and VFAI were positive predictors of mortality exclusively in females. In conclusion, the SMMI is a better predictor of mortality than the BMI, FMI, and FFMI, especially in older adults. A higher fat mass or visceral fat distribution may predict higher mortality in females.
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