title: Prevalence of Metabolic Syndrome and Its Components among Japanese Workers by Clustered Business Category.
abstract: The present study was a cross-sectional study conducted to reveal the prevalence of metabolic syndrome and its components and describe the features of such prevalence among Japanese workers by clustered business category using big data. The data of approximately 120,000 workers were obtained from a national representative insurance organization, and the study analyzed the health checkup and questionnaire results according to the field of business of each subject. Abnormalities found during the checkups such as excessive waist circumference, hypertension or glucose intolerance, and metabolic syndrome, were recorded. All subjects were classified by business field into 18 categories based on The North American Industry Classification System. Based on the criteria of the Japanese Committee for the Diagnostic Criteria of Metabolic Syndrome, the standardized prevalence ratio (SPR) of metabolic syndrome and its components by business category was calculated, and the 95% confidence interval of the SPR was computed. Hierarchical cluster analysis was then performed based on the SPR of metabolic syndrome components, and the 18 business categories were classified into three clusters for both males and females. The following business categories were at significantly high risk of metabolic syndrome: among males, Construction, Transportation, Professional Services, and Cooperative Association; and among females, Health Care and Cooperative Association. The results of the cluster analysis indicated one cluster for each gender with a higher prevalence of metabolic syndrome components; among males, a cluster consisting of Manufacturing, Transportation, Finance, and Cooperative Association, and among females, a cluster consisting of Mining, Transportation, Finance, Accommodation, and Cooperative Association. These findings reveal that, when providing health guidance and support regarding metabolic syndrome, consideration must be given to its components and the variety of its prevalence rates by business category and gender.
authors.affiliation: Department of Hygiene and Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima City, Fukushima, Japan.
authors.forename: Tomoo
authors.initials: T
authors.lastname: Hidaka
authors.affiliation: Department of Hygiene and Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima City, Fukushima, Japan.
authors.forename: Takehito
authors.initials: T
authors.lastname: Hayakawa
authors.affiliation: Department of Hygiene and Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima City, Fukushima, Japan.
authors.forename: Takeyasu
authors.initials: T
authors.lastname: Kakamu
authors.affiliation: Department of Hygiene and Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima City, Fukushima, Japan.
authors.forename: Tomohiro
authors.initials: T
authors.lastname: Kumagai
authors.affiliation: Fukushima Branch Office, Japan Health Insurance Association, Fukushima City, Fukushima, Japan.
authors.forename: Yuhei
authors.initials: Y
authors.lastname: Hiruta
authors.affiliation: Fukushima Branch Office, Japan Health Insurance Association, Fukushima City, Fukushima, Japan.
authors.forename: Junko
authors.initials: J
authors.lastname: Hata
authors.affiliation: Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka City, Fukuoka, Japan.
authors.forename: Masayoshi
authors.initials: M
authors.lastname: Tsuji
authors.affiliation: Department of Hygiene and Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima City, Fukushima, Japan.
authors.forename: Tetsuhito
authors.initials: T
authors.lastname: Fukushima
mesh_terms: D000328:Adult; D000368:Aged; D044466:Asian People / Q000706:statistics & numerical data; D016000:Cluster Analysis; D003132:Commerce / Q000145:classification* / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007564:Japan / Q000453:epidemiology; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology* / Q000209:etiology; D008875:Middle Aged; D009790:Occupations / Q000145:classification* / Q000706:statistics & numerical data*; D015995:Prevalence; D012307:Risk Factors