Evidence map›Paper›PMID 41388264›Full record

ArticleBMC public health2025

Out-of-home activity participation associated with body mass index and muscle mass in community-dwelling older adults.

Lumi Kinjo, Yee Sien Ng, Sapphire Lin, Helen Hoenig

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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

4 authors.

Lumi KinjoDuke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore. lumi.kinjo@u.duke.nus.edu.
Yee Sien NgDuke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Sapphire LinCentre for Population Health Research and Implementation, Singapore Health Services, Singapore, Singapore.
Helen HoenigPhysical Medicine and Rehabilitation Service, Durham Veterans Affairs Medical Center, Durham, NC, USA.

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC, Susan Nicole Hastings · 2006 to 2026
$24.6M
Duke Claude D. Pepper Older Americans Independence Center, Duke Aging Center, Duke University NIA AG028716National Research Foundation, Singapore, and Ministry of National Development, Singapore CoT Award COT-H1-2020-1NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

backgroundExtremes of body mass index (BMI) and low Muscle Mass are associated with increased morbidity and mortality in older adults. Modifiable factors may include the frequency of participation in key out-of-home activities.

methodsUsing a cross-sectional study design, we examined the relationship between frequencies of out-of-home activities-specifically dining, grocery shopping, exercise, and recreation-and BMI as well as Muscle Mass among community-dwelling adults aged 50 years and older in Singapore (n = 1,118). Frequencies of out-of-home activities over 14 days were measured using Global Positioning System (GPS)-based travel data. Participants' sociodemographic, health, and neighborhood environmental information was collected through a questionnaire, physical performance tests, and publicly available databases. Multivariable regression was performed to examine the association between activity frequency and BMI as well as Muscle Mass while controlling for known predictors of the outcome variables.

resultsWe found a positive and significant association between out-of-home dining frequency and BMI even after controlling for exercise frequency and self-reported physical activity level. Out-of-home exercise and recreation frequencies were also associated with Muscle Mass. Importantly, increased participation in out-of-home recreational activities was significantly associated with higher Muscle Mass, independent of out-of-home exercise frequency and self-reported physical activity level. Other findings included association between low gait speed and higher BMI. Lower perceived income adequacy was also associated with higher BMI, after controlling for income surrogates such as housing type, education, and employment status. Living in a neighborhood with hills and/or barriers to walking from place to place was associated with greater Muscle Mass. However, most environmental factors including distance to nearest dining cluster and supermarket were not associated with BMI or Muscle Mass.

conclusionsKey modifiable life activities associated with clinically significant differences for BMI include out-of-home dining frequency, whereas for Muscle Mass, they include out-of-home recreation and exercise frequencies.

trial registrationNot applicable.

Indexed as

Body Mass IndexIndependent LivingMuscle, SkeletalAgedCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedRecreationSingaporeSurveys and QuestionnairesBMICommunity ActivitiesMuscle MassOlder Adults

Identifiers

PMID41388264
PMCPMC12781809

What OpenQuestion holds

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LicenceCC BY
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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.