Evidence map›Paper›PMID 37766543›Full record

ArticleEnvironmental health and preventive medicine2023

Latent profile analysis approach to the relationship between daily ambulatory activity patterns and metabolic syndrome in middle-aged and elderly Japanese individuals: 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

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 cross-sectional study aimed to identify the accumulation patterns of objectively measured ambulatory activity (AA) variables in the Japanese middle-aged and elderly individuals and examine the relationship of these derivative patterns with metabolic syndrome (MetS).

methodsA total of 1850 participants (66.1% women, mean age: 57.7 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 groups of participants based on their distinct AA patterns. Logistic regression models were used to assess the association of groups with MetS after adjusting for age, sex, alcohol intake, and cigarette smoking.

resultsFour distinct groups were identified: Group A had few steps and low levels of LIAA and MVAA; group B had a certain number of steps and recommended level of MVAA but low level of LIAA; group C had a certain number or more of steps, high level of LIAA, and recommended level of MVAA; group D had an extremely high number of steps and high levels of both LIAA and MVAA. The multivariate-adjusted odds ratio (95% CI) for MetS in groups B, C, and D relative to group A were 0.857 (0.611-1.201), 0.679 (0.500-0.922), and 0.434 (0.259-0.730), respectively. Groups C and D had significantly lower odds ratio of MetS compared to group A.

conclusionAA pattern involving a certain number or greater of steps accumulated through not only MVAA but also LIAA may help reduce the risk of MetS compared to inactive AA pattern.

Indexed as

Activities of Daily LivingMetabolic SyndromeAgedCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedAccelerometerLatent profile analysisMetabolic syndromePhysical activity

Identifiers

PMID37766543
PMCPMC10569967

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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.