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

Author: Naofumi YAMAMOTO ¹ ; Koutatsu MARUYAMA ² ; Isao SAITO ³ ; Kiyohide TOMOOKA ⁴ ; Takeshi TANIGAWA ⁵ ; Ryoichi KAWAMURA ⁶ ; Yasunori TAKATA ⁶ ; Haruhiko OSAWA ⁶
Author Information

1. Faculty of Collaborative Regional Innovation, Ehime University.
2. Laboratory of Community Health and Nutrition, Special Course of Food and Health Science, Department of Bioscience, Graduate School of Agriculture, Ehime University.
3. Department of Public Health and Epidemiology, Faculty of Medicine, Oita University.
4. Department of Public Health, Juntendo University Faculty of Medicine.
5. Department of Public Health, Juntendo University Graduate School of Medicine.
6. Department of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine.
Publication Type:Journal Article
Keywords: Latent profile analysis; Longitudinal study; Obesity; Physical activity
MeSH: Humans; Metabolic Syndrome/etiology*; Female; Middle Aged; Japan/epidemiology*; Aged; Exercise; Cohort Studies; Accelerometry; Risk Factors; East Asian People
From:Environmental Health and Preventive Medicine 2025;30():11-11
CountryJapan
Language:English
Abstract: BACKGROUND:This 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).
METHODS:A 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.
RESULTS:Four 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.
CONCLUSION:AA 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.