Evidence map›Paper›PMID 38587675›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2024

Association of bone fracture with 30-year body mass index (BMI) trajectories: findings from the Framingham Heart Study : Bone fracture and 30-year BMI trajectories.

Zihao Xin, Hanfei Xu, Xiaoyu Zhang, Elizabeth J Samelson, Douglas P Kiel, Ching-Ti Liu

Abstract read
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, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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.

Zihao XinDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA.
Hanfei XuDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA.
Xiaoyu ZhangDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA.
Elizabeth J SamelsonHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.
Douglas P KielHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.
Ching-Ti LiuDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA. ctliu@bu.edu.ORCID http://orcid.org/0000-0002-0703-0742

Funding

RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Integrative Approaches to Identifying Function and Clinical Significance of Adiposity Susceptibility GenesR01DK122503 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Anne Justice, Ching-Ti Liu · 2020 to 2026
$4.5M
Vascular Mechanisms Underlying Skeletal Fragility in Older AdultsR01AG065299 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI SAMELSON, ELIZABETH J · 2021 to 2025
$3.1M
Volumetric Bone Density and Vascular Calcification: The Framingham QCT StudyK01AR053118 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI SAMELSON, ELIZABETH J · 2007 to 2011
$481k
NIAMS NIH HHS K01 AR053118NIAMS NIH HHS R01 AR041398NIA NIH HHS R01 AG065299NIDDK NIH HHS DK122503NIDDK NIH HHS R01 DK122503NIH HHS AG065299NIH HHS AR041398
6 · The paper itself

Abstract

A knowledge gap exists in associating later life's osteoporotic fracture and middle adulthood's BMI trajectories. We observed an association showing those transitioning from overweight to normal weight face a higher fracture risk in late adulthood, emphasizing the potential benefits of maintaining a stable BMI to reduce late-life fractures. PURPOSE: Numerous studies on the relationship between obesity and fractures have relied on body mass index (BMI) at a single time point, yielding inconclusive results. This study investigated the association of BMI trajectories over middle adulthood with fracture risk in late adulthood.

methodsThis prospective cohort study analyzed 1772 qualified participants from the Framingham Original Cohort Study, with 292 (16.5%) incident fractures during an average of 17.1-year follow-up. We constructed BMI trajectories of age 35-64 years based on latent class mixed modeling and explored their association with the risk of fracture after 65 years using the Cox regression.

resultsThe result showed that compared to the BMI trajectory Group 4 (normal to slightly overweight; see "Methods" for detailed description), Group 1 (overweight declined to normal weight) had a higher all-fracture risk after age 65 (hazard ratio [HR], 2.22, 95% CI, 1.13-4.39). The secondary analysis focusing on lower extremity fractures (pelvis, hip, leg, and foot) showed a similar association pattern.

conclusionsThis study suggested that people whose BMI slightly increased from normal weight to low-level overweight during 30 years of middle adulthood confer a significantly lower risk of fracture in later life than those whose BMI declined from overweight to normal weight. This result implies the potentially beneficial effects of avoiding weight loss to normal weight during middle adulthood for overweight persons, with reduced fracture risk in late life.

Indexed as

Body Mass IndexOsteoporotic FracturesOverweightAdultAgedFemaleHumansIncidenceMaleMiddle AgedObesityProspective StudiesRisk AssessmentRisk FactorsBMI trajectoryFramingham Heart StudylcmmObesityOsteoporotic fracture

Identifiers

PMID38587675
PMCPMC11488984

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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.