Evidence map›Paper›PMID 27112764›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2016

Variations in fat mass contribution to bone mineral density by gender, age, and body mass index: the Korea National Health and Nutrition Examination Survey (KNHANES) 2008-2011.

Y M Kim, S H Kim, S Kim, J S Yoo, E Y Choe, Y J Won

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Association between body fat percentage and metabolic and hematologic biomarkers in Korean adults.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A review of menopause nomenclature.Reproductive health · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Y M KimDivision of Endocrinology, Department of Internal Medicine, Catholic Kwandong University College of Medicine, International St. Mary's Hospital, Incheon, Korea.
S H KimDivision of Endocrinology, Department of Internal Medicine, Catholic Kwandong University College of Medicine, International St. Mary's Hospital, Incheon, Korea.
S KimDepartment of Obstetrics and Gynecology, Yonsei University College of Medicine, Seoul, Korea.
J S YooDivision of Endocrinology, Department of Internal Medicine, Catholic Kwandong University College of Medicine, International St. Mary's Hospital, Incheon, Korea.
E Y ChoeDivision of Endocrinology, Department of Internal Medicine, Catholic Kwandong University College of Medicine, International St. Mary's Hospital, Incheon, Korea.
Y J WonDivision of Endocrinology, Department of Internal Medicine, Catholic Kwandong University College of Medicine, International St. Mary's Hospital, Incheon, Korea. yjwon00@gmail.com.
Catholic Kwandong University · KRCatholic Kwandong University International St. Mary's Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThe relationship of body composition and bone mineral density is complex and controversial. When classifying Korean population based on gender, age, and body mass index, fat mass had varying contributions to bone mineral density.

introductionThe relationship between body composition and bone mineral density (BMD) is complex, and it is uncertain how components of body mass variably affect BMD.

methodsThis cross-sectional observational study was performed in subjects ≥20 years based on the Korea National Health and Nutrition Examination Survey (KNHANES) 2008 to 2011. Among 17,583 subjects, the mean ages were 49.1 ± 16.0 years (M, n = 7495) and 49.3 ± 16.3 years (F, n = 10,088). Subjects were divided into age groups, either <50 or ≥50 years for males, or menopausal state, either premenopausal or postmenopausal, for females. A further classification used BMI, either <25 or ≥25 kg/m(2). Anthropometric and body composition parameters were compared and evaluated to look for correlations with BMD. Further, appendicular lean mass (ALM), fat mass (FM), fat percentage (FP), and waist circumference (WC) were included for multivariate analysis with BMD, controlling for covariates in each age group and BMI subgroup.

resultsAnthropometric and body composition parameters significantly correlated with BMD in all age groups for both genders. After adjusting for covariates, ALM strongly affected BMD in all age groups for both genders. FM, FP, and WC significantly affected BMD in both age groups of women and in older men, but they did not affect BMD in younger men. Fat indices positively affected BMD of all sites in all non-obese women and in non-obese older men. However, little contribution was found in obese subgroups of both genders and in non-obese younger men.

conclusionConsidering different weights of covariates, ALM strongly contributed to BMD in all gender, age, and BMI groups. On the other hand, fat indices positively affected BMD of both age groups in women and older men with normal BMI, but they showed little contribution to BMD within the same age groups with high BMI or any BMI subgroups of younger men.

Indexed as

Body CompositionBody Mass IndexBone DensityAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRepublic of KoreaAppendicular lean massBody composition analysisBone mineral densityFat indicesFat mass

Identifiers

PMID27112764
OpenAlexW2343184144

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.