Evidence map›Paper›PMID 31803538›Full record

ArticlePeerJ2019

Combined effects of body mass index and unhealthy behaviors on disability in older Japanese adults: the Okayama study.

Yangyang Liu, Toshiharu Mitsuhashi, Michiyo Yamakawa, Megumi Sasai, Toshihide Tsuda, Hiroyuki Doi, Jun Hamada

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yangyang LiuDepartment of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Toshiharu MitsuhashiCenter for Innovative Clinical Medicine, Okayama University Hospital, Okayama University, Okayama, Japan.
Michiyo YamakawaDepartment of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu University, Gifu, Japan.
Megumi SasaiSri Lanka Office, Japan International Cooperation Agency, Colombo, Sri Lanka.
Toshihide TsudaDepartment of Human Ecology, Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.
Hiroyuki DoiDepartment of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Jun HamadaDepartment of Health Economics and Policy, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody mass index (BMI) is a significant predictor of functional disability in older adults. However, when evaluated, the association between BMI and incident functional disability, considering behaviors only as covariates or not, may not be appropriate. The primary purpose of the study was to investigate the combined effects of BMI and unhealthy behaviors on the risk of incident functional disability.

methodsThis was a retrospective cohort study that took place in Okayama City, Japan. Data on BMI and unhealthy behaviors were obtained using the health check-up questionnaire. The certification of Long-Term Care Insurance was used to measure functional disability. Cox proportional hazard models were used; adjusted hazard ratios (HRs) with 95% confidence interval (CI) were calculated for incidence of functional disability across categories of BMI and number of unhealthy behaviors.

resultsThe relationship between BMI and incident functional disability was U-shaped (HR = 1.18, 95% CI [1.11-1.25], among the underweight range; and 1.26 [1.19-1.34] among the obesity range), and its risk was significantly higher within the normal-to-overweight range of BMI values with co-occurring unhealthy behaviors (with normal weight range and one, 1.17 [1.01-1.21]; two, 1.29 [1.18-1.41]; and three or four unhealthy behaviors 1.38 [1.24-1.54]; as well as among overweight range and one, 1.16 [1.05-1.27]; two, 1.26 [1.15-1.38]; and three or four unhealthy behaviors, 1.47 [1.31-1.64]). In each BMI category, the risk of incident functional disability increased with increasing number of unhealthy behaviors (

conclusionIt is necessary to consider the combined effects of BMI and behaviors on incident functional disability. Furthermore, interventions targeting multiple behaviors should be considered as such interventions may offer greater benefits than simple interventions.

Indexed as

Body mass indexDisabilityElderlyLong-term care insuranceUnhealthy behaviors

Identifiers

PMID31803538
PMCPMC6886483

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LicenceCC BY
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Registered trials

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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.