ArticleEnvironmental health and preventive medicine2024
Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups.
Article in Environmental health and preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Mobile App-Based Tracking of Daily Explicit and Implicit Sense of Agency Among Adults Living in Japan: Longitudinal Observational Study.JMIR formative research · 2026Observational
- Seasonal Variation in Metabolic Syndrome and Its Association With Meteorological Factors: A Large Population-Based Study in Fukushima, 2012-2022.Journal of epidemiology and global health · 2026Article
- Spatiotemporal lag effects of surface water quality on liver cirrhosis mortality risk in China: a nine-year time-series study of environmental driving mechanism.BMC public health · 2026Article
- Effects of temperature and humidity on hospitalizations for metabolic syndrome with cerebral infarction among older adults in Panzhihua: a distributed lag non-linear model analysis.Frontiers in public health · 2026Article
- Geographic variation in proportions meeting the waist circumference criterion and having elevated hemoglobin A1c among Specific Health Checkup examinees in Japan: an ecological analysis of the 10th NDB Open Data.Environmental health and preventive medicine · 2026Article
- Alcohol consumption and incidence of decline in glomerular filtration rate and of proteinuria: the Osaka Kenko Innovation (TOKI) study.Journal of nephrology · 2025Article
- Sex Differences in Seasonal Variation in Metabolic Syndrome and Its Components: A 10-Year National Health Screening Study.Journal of clinical medicine · 2025Article
- Study of association of leptin with leukocyte telomere length in a Chinese rural population.Lipids in health and disease · 2024Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is crucial to understand the seasonal variation of Metabolic Syndrome (MetS) for the detection and management of MetS. Previous studies have demonstrated the seasonal variations in MetS prevalence and its markers, but their methods are not robust. To clarify the concrete seasonal variations in the MetS prevalence and its markers, we utilized a powerful method called Seasonal Trend Decomposition Procedure based on LOESS (STL) and a big dataset of health checkups.
methodsA total of 1,819,214 records of health checkups (759,839 records for men and 1,059,375 records for women) between April 2012 and December 2017 were included in this study. We examined the seasonal variations in the MetS prevalence and its markers using 5 years and 9 months health checkup data and STL analysis. MetS markers consisted of waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG).
resultsWe found that the MetS prevalence was high in winter and somewhat high in August. Among men, MetS prevalence was 2.64 ± 0.42 (mean ± SD) % higher in the highest month (January) than in the lowest month (June). Among women, MetS prevalence was 0.53 ± 0.24% higher in the highest month (January) than in the lowest month (June). Additionally, SBP, DBP, and HDL-C exhibited simple variations, being higher in winter and lower in summer, while WC, TG, and FPG displayed more complex variations.
conclusionsThis finding, complex seasonal variations of MetS prevalence, WC, TG, and FPG, could not be derived from previous studies using just the mean values in spring, summer, autumn and winter or the cosinor analysis. More attention should be paid to factors affecting seasonal variations of central obesity, dyslipidemia and insulin resistance.
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