Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

Seto, Hiroe; Toki, Hiroshi; Kitora, Shuji et al.

Environmental Health and Preventive Medicine, 2024, 29, 2

アクセス数:739件（2026-04-06 02:21 集計）

固定URL: https://hdl.handle.net/11094/94757

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タイトル
Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups
著者
著者名
Seto, Hiroe
NRID
1000070163962 1000070163962
researchmap permalink
read0184998 read0184998
ORCID
0000-0003-1332-8286 0000-0003-1332-8286
著者名
Toki, Hiroshi
ORCID
0000-0001-6833-8049 0000-0001-6833-8049
researchmap permalink
kitora kitora
Scopus Author ID
57205647489 57205647489
著者名
Kitora, Shuji
NRID
1000080913201 1000080913201
ORCID
0000-0002-6584-5958 0000-0002-6584-5958
researchmap permalink
a.ooyama a.ooyama
Scopus Author ID
57203242838 57203242838
著者名
Oyama, Asuka
著者名
Yamamoto, Ryohei
キーワード等
Metabolic syndrome
Seasonal variation
Seasonal trend decomposition
STL
Specific health checkups
内容
Seto H., Toki H., Kitora S., et al. Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups. Environmental Health and Preventive Medicine 29, 2 (2024); https://doi.org/10.1265/ehpm.23-00216.
抄録
Background: It 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. Methods: A 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). Results: We 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. Conclusions: This 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.
出版者
the Japanese Society for Hygiene
日本衛生学会
収録物名
Environmental Health and Preventive Medicine
巻(号)
29
ページ
2
刊行年月
2024-01-20
言語
英語
ハンドルURL
https://hdl.handle.net/11094/94757
PISSN
1342078X
eISSN
13474715
関連情報 (isIdenticalTo)
DOI (出版社版)
https://doi.org/10.1265/ehpm.23-00216
アクセス権
open access
権利情報
This article is licensed under a Creative Commons Attribution 4.0 International License.
出版タイプ
Version of Record
カテゴリ
学術雑誌論文 Journal Article