Evidence map›Paper›PMID 34301997›Full record

ArticleScientific reports2021

Daily steps and healthcare costs in Japanese communities.

Shohei Okamoto, Kazuki Kamimura, Kenichi Shiraishi, Kazuto Sumita, Kohei Komamura, Akiko Tsukao, Shoko Chijiki, Shinya Kuno

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Shohei OkamotoResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan. sokamoto@tmig.or.jp.
Kazuki KamimuraHirao School of Management, Konan University , Hyogo, Japan.
Kenichi ShiraishiDepartment of Social Welfare, Gunma University of Health and Welfare , Gunma, Japan.
Kazuto SumitaDepartment of International Economics, Toyo University , Tokyo, Japan.
Kohei KomamuraFaculty of Economics, Keio University , Tokyo, Japan.
Akiko TsukaoTsukuba Wellness Research, Inc., Chiba, Japan.
Shoko ChijikiTsukuba Wellness Research, Inc., Chiba, Japan.
Shinya KunoR&D Center for Smart Wellness City Policies, University of Tsukuba , Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical inactivity is a pandemic that requires intensive, usually costly efforts for risk reduction of related chronic diseases. Nevertheless, it is challenging to determine the effectiveness of physical activity in healthcare cost reduction based on existing literature. Therefore, this study aimed to investigate the impact of physical activity (daily steps) on healthcare costs utilising the data retrieved from a health promotion project (the e-wellness Project, held in three municipalities in Japan). Evaluating the effects of daily steps, measured by pedometers, on healthcare costs by a quasi-experimental approach among participants aged 40-75 years (about 4000 person-years of observation, between 2009 and 2013), we found that a one-step-increase in the annual average daily step reduced outpatient healthcare costs by 16.26 JPY (≒ 0.11 GBD) in the short run. Based on the assumption of a dynamic relationship between the health statuses in multiple years, the long-run effects of daily steps on healthcare costs were estimated at 28.24 JPY (≒ 0.20 GBD). We determined the health benefits of walking in a sample of middle-aged and older Japanese adults by our findings that an increase in step counts reduced healthcare costs.

Indexed as

ActigraphyAdultAgedAsian PeopleExerciseFemaleHealth Care CostsHealth PromotionHumansJapanMaleMiddle AgedSedentary BehaviorWalking

Identifiers

PMID34301997
PMCPMC8302729

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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.