Evidence map›Paper›PMID 36450420›Full record

ArticleBMJ open2022

Body weight and lifestyle changes under the COVID-19 pandemic in Japan: a cross-sectional study from NIPPON DATA2010.

Hirokazu Taniguchi, Nagako Okuda, Hisatomi Arima, Atsushi Satoh, Makiko Abe, Nobuo Nishi, Aya Higashiyama, Harumitsu Suzuki, Takayoshi Ohkubo, Aya Kadota and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
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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

14 authors.

Hirokazu TaniguchiDivision of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan hirokazu-t@kpu.ac.jp.ORCID 0000-0001-7999-8456
Nagako OkudaDivision of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan.
Hisatomi ArimaDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Atsushi SatohDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Makiko AbeDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Nobuo NishiInternational Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
Aya HigashiyamaDepartment of Hygiene, Wakayama Medical University, Wakayama, Japan.
Harumitsu SuzukiDepartment of Hygiene, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0002-6397-6129
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University, Tokyo, Japan.
Aya KadotaNCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan.
Katsuyuki MiuraNCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan.
Hirotsugu UeshimaNCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan.
Akira OkayamaResearch Institute of Strategy for Prevention, Tokyo, Japan.
NIPPON DATA2010 Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe COVID-19 pandemic has had an impact on people's lifestyles such as causing body weight changes. This study examined associations among lifestyle changes and body weight during the COVID-19 pandemic among the Japanese population.

designA cross-sectional study.

settingA nationwide survey of the general Japanese population.

participantsTotal participants were 2244 men and women, of which 911 young/middle-aged (30-69 years old) and 899 older adults (70 years and older) were analysed separately. OUTCOME: Changes in lifestyle (physical activity, dietary habits and alcohol intake) and body weight during the first wave of COVID-19 in spring 2020.

resultsUnder the COVID-19 pandemic, 24.1% and 10.1% of Japanese respondents reported weight gain and reduction, respectively. Multivariable-adjusted stepwise logistic regression analyses revealed that the young/middle-aged respondents in the group increased body weight, weight gain was significantly associated with decrease in physical activity (OR 4.01, 95% CI 2.83 to 5.69) and both increase (OR 5.82, 95% CI 3.85 to 8.80) and decrease (OR 2.73, 95% CI 1.52 to 4.93) in eating between meals. In the group that decreased body weight, body weight reduction was significantly associated with increase in physical activity (OR 3.66, 95% CI 1.94 to 6.90), decrease in eating between meals (OR 5.97, 95% CI 3.11 to 11.48) and both increase and decrease in alcohol intake in the young/middle age. For the older adults, body weight gain was higher in women than in men, and significantly associated with higher quartile of regional COVID-19 infection, decrease in physical activity (OR 2.98, 95% CI 1.98 to 4.49), increase in home-cooked meals and increase in eating between meals (OR 4.22, 95% CI 2.55 to 6.99). On the other hand, body weight reduction was significantly associated with decreases in physical activity (OR 2.63, 95% CI 1.62 to 4.27), home-cooked meals and eating between meals (OR 1.95, 95% CI 1.05 to 3.61) in the older adults.

conclusionChanges in physical activity and eating between meals were associated with body weight change under the COVID-19 pandemic among Japanese.

Indexed as

COVID-19AdultAgedBody WeightCross-Sectional StudiesFemaleHumansJapanLife StyleMaleMiddle AgedPandemicsWeight GainWeight LossCOVID-19EPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID36450420
PMCPMC9716411

What OpenQuestion holds

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LicenceCC BY-NC
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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.