ArticleArchives of endocrinology and metabolism2019
Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves.
Article in Archives of endocrinology and metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Longitudinal impact of sarcopenia and its components on falls, fractures, and mortality in rheumatoid arthritis: a six-year study.BMC rheumatology · 2025Article
- A study on the construction of body fat percentage percentile curve for adults aged 20-79 in China.Frontiers in public health · 2025Article
- Official Position of the Brazilian Association of Bone Assessment and Metabolism (ABRASSO) on the evaluation of body composition by densitometry-part II (clinical aspects): interpretation, reporting, and special situations.Advances in rheumatology (London, England) · 2022Article
- Association between fractures and traditional risk factors for osteoporosis and low bone mineral density in patients with obesity.Archives of endocrinology and metabolism · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo establish percentile curves for measures and indices of body composition by age and sex and compare them with data from other ethnic groups. SUBJECTS AND
methodsCross-sectional, population-based study with adults aged 20-59 years (n = 689). Percentile curves adjusted by a third degree polynomial function were constructed for skeletal mass index (SMI), fat mass index, body fat, and load-capacity metabolic indices (LCMI) based on dual-energy X-ray absorptiometry (DXA).
resultsSMIweight and SMIBMI showed decline from the third decade of life in both sexes, whereas SMIheight was not able to identify lean mass loss over the ages studied. There was a slight drop at the end of the fifth decade (50-59 years) in men. Among Americans and Chinese, the 50th percentile curve of SMIheight showed an earlier decline. The estimates of adiposity and LCMI curves peaked between 40-49 years and Americans and Chinese maintained an upward curve throughout adulthood.
conclusionThe data and curves showed that the SMI adjusted for BMI and body weight were more adequate in detecting the decline of lean mass in adults due to aging. In contrast, SMIheight had a positive correlation with age and its curve increased throughout the evaluated age groups. The results contribute to the evaluation to the nutritional status of adults and to the prevention and treatment of outcomes related to adiposity and deficit lean mass.
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