Evidence map›Paper›PMID 38485238›Full record

ArticleJournal of bone metabolism2024

Cross-Sectional and Longitudinal Associations between Forearm Bone Mineral Density and Anthropometry in Adult Japanese Men and Women.

Masahiro Ishizawa, Kazuya Fujihara, Junko Yachida, Izumi Ikeda, Takaaki Sato, Takaho Yamada, Ayako Kobayashi, Shiro Tanaka, Yoshimi Nakagawa, Takashi Matsuzaka and 5 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of bone metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

15 authors at 5 institutions in 1 country.

Masahiro IshizawaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Kazuya FujiharaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Junko YachidaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Izumi IkedaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Takaaki SatoDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Takaho YamadaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Ayako KobayashiDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Shiro TanakaDepartment of Clinical Biostatistics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshimi NakagawaDivision of Complex Biosystem Research, Department of Research and Development, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Takashi MatsuzakaDepartment of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Hitoshi ShimanoDepartment of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Minoru TashiroNiigata Association of Occupational Health, Niigata, Japan.
Satoru KodamaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Kiminori KatoDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Hirohito SoneDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Niigata University · JPUniversity of Tsukuba · JPKyoto University · JPNiigata University Medical and Dental Hospital · JPUniversity of Toyama · JP

Funding

Japan Society for the Promotion of Science 22H03529
6 · The paper itself

Abstract

backgroundNo consensus exists regarding which anthropometric measurements are related to bone mineral density (BMD), and this relationship may vary according to sex and age. A large Japanese cohort was analyzed to provide an understanding of the relationship between BMD and anthropometry while adjusting for known confounding factors.

methodsOur cohort included 10,827 participants who underwent multiple medical checkups including distal forearm BMD scans. Participants were stratified into four groups according to age (≥50 years or <50 years) and sex. The BMD values were adjusted for confounding factors, after which single and partial correlation analyses were performed. The prevalence of osteopenia was plotted for each weight index (weight or body mass index [BMI]) class.

resultsCross-sectional studies revealed that weight was more favorably correlated than BMI in the older group (R=0.278 and 0.212 in men and R=0.304 and 0.220 in women, respectively), whereas weight and BMI were weakly correlated in the younger age groups. The prevalence of osteopenia exhibited a negative linear relationship with weight among older women ≥50 years of age, and an accelerated increase was observed with decreasing weight in older men weighing <50 kg and younger women weighing <60 kg. When weight was replaced with BMI, the prevalence was low in most subgroups classified by weight.

conclusionsWeight, rather than BMI, was the most important indicator of osteopenia but it might not be predictive of future bone loss.

Indexed as

AnthropometryBone densityCohort studiesMass screeningOsteoporosis

Identifiers

PMID38485238
PMCPMC10940109
OpenAlexW4392770038

What OpenQuestion holds

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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.