Evidence map›Paper›PMID 39513057›Full record

ArticleJMA journal2024

Trajectory Patterns of Three Lifestyle Behaviors and Subsequent Health Conditions in Japanese Adults: A Retrospective Longitudinal Study Using a Health Checkup Database.

Tetsuya Tajima, Rieko Kanehara, Makoto Fujii, Shiori Tanaka, Jun Umezawa, Yuko Ohno, Manami Inoue

Abstract read
In one paragraph

Article in JMA journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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.

Tetsuya TajimaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Rieko KaneharaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Makoto FujiiDivision of Health Science, Graduate School of Medicine, Osaka University, Suita, Japan.
Shiori TanakaDivision of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Jun UmezawaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Yuko OhnoDivision of Health Science, Graduate School of Medicine, Osaka University, Suita, Japan.
Manami InoueDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although the associations between lifestyle behavioral changes over time and the risks of cancer and cardiovascular diseases are documented worldwide, evidence specific to the Japanese population remains limited. This study aimed to elucidate the trajectories of lifestyle behaviors and their associations with health conditions. Methods: We analyzed health checkup data from the Japan Medical Data Center Claims Database from 2005 to 2019, specifically those of individuals who underwent 10 consecutive annual checkups. We focused on smoking, frequency of drinking alcohol, and regular exercise habits as the exposure factors. A group-based trajectory model was employed to estimate the patterns of single and multiple trajectories for three exposures. Furthermore, a linear mixed-effects model was used to assess the association between trajectory patterns and longitudinal changes in health conditions (body mass index, systolic blood pressure [sBP], LDL-cholesterol, and HbA1c). Results: This study included 51,064 Japanese subjects aged 20-59 years at their initial health checkup. We identified seven trajectory groups (Groups 1-7) that represented a high percentage of subjects in the following order: Group 3 (inactive, 31.0%), Group 5 (long-term smoking, 26.9%), and Group 2 (daily drinkers, 11.0%). The only lifestyle behavioral change observed was smoking cessation. Groups 3 and 5 exhibited higher sBP (Group 3: β = 1.18, standard error [SE] = 0.60, p = 0.05; Group 5: β = 1.33, SE = 0.61, p < 0.05) and LDL-cholesterol levels (Group 3: β = 3.80, SE = 1.36, p < 0.05; Group 5: β = 3.04, SE = 1.37, p < 0.05) than the nonsmoking, nondrinking, and regular exercise groups. Group 2 exhibited significantly high sBP (β = 2.43, SE = 0.62, p < 0.001), with an observed interaction effect over time (p < 0.05). Conclusions: Regular exercise and abstinence from smoking and drinking may be essential to avoid deterioration of health conditions.

Indexed as

health conditionJapanlifestyle behaviortrajectory analysis

Identifiers

PMID39513057
PMCPMC11543322

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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.