Trial reportBioMed research international2019
Establishment of Prediction Equations of Lean Body Mass Suitable for Chinese Adults.
Trial report in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Beyond Group Averages: Rethinking Body Composition Assessment in the Era of Metabolic Bariatric Surgery: A Perspective from Korea.Journal of obesity & metabolic syndrome · 2026Article
- Validation of Predictive Equations for Estimating Lean Soft Tissue and Fat-Free Mass in Class II-V Obesity: A Multicenter Observational Study with Implications for Bariatric Surgery Monitoring.Journal of obesity & metabolic syndrome · 2026Observational
- Associations of weight-derived markers with mortality in patients with Corona virus disease 2019: evidence from hospitals and patients.BMC pulmonary medicine · 2025Article
- A reference equation for peak oxygen uptake for cycle ergometry in Chinese adult participants.Scientific reports · 2025Article
- Effects Of Oxandrolone On Lean Body Mass (Lbm) In Severe Burn Patients: A Randomized, Double Blind, Placebo-Controlled Trial.Annals of burns and fire disasters · 2022Article
- Clinical determinants of low handgrip strength and its decline in the oldest old: the Leiden 85-plus Study.Aging clinical and experimental research · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo develop predictive equations of lean body mass (LBM) suitable for healthy southern Chinese adults with a large sample. LBM measured by dual-energy X-ray absorptiometry (DXA) are considered as the standard ones.
methodsRetrospective analysis was conducted on the consecutive people who did total body measurement with DXA from July 2005 to October 2015. People with diseases that might affect LBM were excluded and overall 12,194 subjects were included in this study. Information about the 10,683 subjects (2,987 males and 7,696 females) from July 2005 to November 2014 was used to establish equations. These subjects were grouped by sex and then subdivided according to their body mass index (BMI). The female group was divided into another two subgroups: the premenopausal and postmenopausal subgroups. Equations were developed through stepwise multilinear regression analysis of height, weight, age, and BMI. Information about the 1,511 subjects (395 males and 1116 females) from December 2014 to October 2015 was used to verify the established equations.
resultsBMI, height, weight, and age were introduced into the equations as independent variables in the male group, while age was proved to have no influence on LBM in the female group. Regrouping according to BMI or menopause did not increase the predictive ability of equations. Good agreement between LBM evaluated by equation (LBM_PE) and LBM measured by DXA (LBM_DXA) was observed in both the male and female groups.
conclusionPredictive equations of LBM suitable for healthy southern Chinese adults are established with a large sample. BMI was related to LBM content; however, there is no need for further group based on BMI or menopause while developing LBM questions.
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