Evidence map›Paper›PMID 37878816›Full record

ArticleInternational journal of epidemiology2024

Body mass index trajectories and mortality risk in Japan using a population-based prospective cohort study: the Japan Public Health Center-based Prospective Study.

Nao Yamamoto, Keisuke Ejima, Luis M Mestre, Arthur H Owora, Manami Inoue, Shoichiro Tsugane, Norie Sawada

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

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nao YamamotoSchool of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.
Keisuke EjimaLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-1185-3987
Luis M MestreDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Arthur H OworaDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Manami InoueDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID 0000-0003-1276-2398
Shoichiro TsuganeDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID 0000-0003-4105-2774
Norie SawadaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID 0000-0002-9936-1476

Funding

Grant-in-Aid for Cancer Research from the Ministry of Health, Labour and Welfare of JapanJapan Society for the Promotion of Science KAKENHI 18K18146National Cancer Center Research and Development Fund 23-A-31
6 · The paper itself

Abstract

backgroundRecent studies have found that long-term changes in weight during adulthood are associated with a high risk of mortality. The objective of this study was to characterize body mass index (BMI) trajectories during adulthood and to examine the association between BMI trajectories and risk of death in the Japanese population.

methodsThe data were extracted from Japan Public Health Center-based Prospective Study-a population-based prospective cohort study in Japan with participants aged 40-69 years followed over 20 years. The participants were categorized into multiple BMI trajectory groups using the latent class growth model. The Cox proportional-hazards model was conducted using all-cause mortality and cause-specific mortality as outcomes and the identified BMI trajectory groups as a predictor. In total, 65 520 participants were included in the analysis.

resultsSix BMI trajectory groups were identified: underweight stable (Group 1), low-to-high normal (Group 2), high-to-low normal (Group 3), normal to overweight (Group 4), overweight to normal (Group 5) and normal to obese (Group 6). Our Cox models showed a higher hazard (risk) of all-cause mortality among participants in the BMI-declining groups [Group 3, adjusted hazard ratio (aHR): 1.10, 95% CI: 1.05-1.16; Group 5, aHR: 1.16, 95% CI: 1.08-1.26], underweight stable group (Group 1, aHR: 1.27, 95% CI: 1.21-1.33) and normal to obese group (Group 6, aHR: 1.22, 95% CI: 1.13-1.33) than Group 2 (low-to-high normal BMI trajectory).

conclusionsStable underweight and weight loss were associated with a high risk of mortality, both of which were uniquely observed in a Japanese population.

Indexed as

OverweightThinnessAdultBody Mass IndexHumansJapanObesityProspective StudiesPublic HealthRisk FactorsWeight Lossbody mass index trajectoryJapan Public Health Center-based Prospective Studylatent class growth model

Identifiers

PMID37878816
PMCPMC10859135

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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.