Evidence map›Paper›PMID 40024714›Full record

ArticleEnvironmental health and preventive medicine2025

Patterns of daily ambulatory activity and the onset of metabolic syndrome in middle-aged and older Japanese women: the Toon Health Study.

Naofumi Yamamoto, Koutatsu Maruyama, Isao Saito, Kiyohide Tomooka, Takeshi Tanigawa, Ryoichi Kawamura, Yasunori Takata, Haruhiko Osawa

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Article in Environmental health and preventive medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Naofumi YamamotoFaculty of Collaborative Regional Innovation, Ehime University.ORCID http://orcid.org/0000-0003-4702-3624
Koutatsu MaruyamaLaboratory of Community Health and Nutrition, Special Course of Food and Health Science, Department of Bioscience, Graduate School of Agriculture, Ehime University.
Isao SaitoDepartment of Public Health and Epidemiology, Faculty of Medicine, Oita University.
Kiyohide TomookaDepartment of Public Health, Juntendo University Faculty of Medicine.
Takeshi TanigawaDepartment of Public Health, Juntendo University Graduate School of Medicine.
Ryoichi KawamuraDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine.
Yasunori TakataDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine.
Haruhiko OsawaDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis cohort study aimed to identify the accumulation patterns of objectively measured ambulatory activity (AA) variables in the middle-aged and older Japanese women and examine the relationship of these derivative patterns with onset of metabolic syndrome (MetS).

methodsA total of 794 women (mean age: 56.2 years) provided objectively assessed AA data using a uniaxial accelerometer. The number of steps, time accumulated in light-intensity AA (LIAA) and moderate-to-vigorous intensity AA (MVAA) and the ratio of MVAA to total AA (LIAA + MVAA) were calculated. Latent profile analysis was used to identify participant groups based on their distinct AA patterns. Logistic regression models were used to assess the association of groups with the onset of MetS after adjusting for age, sex, education, alcohol habit, smoking habit, energy intake, and the number of MetS components present at baseline.

resultsFour distinct groups were identified: Group A had low levels of the AA variable; group B accumulated a certain number or more steps primarily through MVAA; group C accumulated a certain number or more steps primarily through LIAA; and group D had high level of the AA variables. Over the course of the 5-year follow-up period, 61 participants (7.7%) developed MetS. The multivariate-adjusted odds ratio (95% confidence interval) for onset of MetS in groups B, C, and D relative to group A were 0.416 (0.166-1.218), 0.451 (0.223-0.914), and 0.933 (0.365-2.382), respectively. Group C had a significantly lower odds ratio of MetS onset than group A.

conclusionAA patterns accumulating a certain number or more steps, regardless of the intensity of AA, may help reduce the risk of MetS compared to inactive AA patterns.

Indexed as

ExerciseMetabolic SyndromeAccelerometryAgedCohort StudiesEast Asian PeopleFemaleHumansJapanMiddle AgedRisk FactorsLatent profile analysisLongitudinal studyObesityPhysical activity

Identifiers

PMID40024714
PMCPMC11875726

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