ArticlePloS one2016
Prevalence of Metabolic Syndrome and Its Components among Japanese Workers by Clustered Business Category.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04815538 (The Relationship Between Workplace Environment and Metabolic Syndrome in Different Industries), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Relationship Between Workplace Environment and Metabolic Syndrome in Different Industries
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Association Between Vitamin D Deficiency and the Risk of Diabetic Retinopathy in Patients With Type 2 Diabetes: A Meta-Analysis.Molecular genetics & genomic medicine · 2026Pooled it
- The mediating effect of BMI on the increased prevalence of metabolic syndrome among workers with occupational stress.BMC public health · 2026Article
- Beneficial Role of Zinc in Metabolic Syndrome: Understanding the Underlying Pathophysiological Mechanisms.Current medicinal chemistry · 2026Review
- Associations between Health Interest Scale Dimensions and Obesity Risk: A Cross-sectional Study among Japanese Employees.JMA journal · 2025Article
- Incidence of type 2 diabetes and metabolic syndrome by Occupation - 10-Year follow-up of the Gutenberg Health Study.BMC public health · 2025Article
- Sleep Disturbances Associated with Different Systems of the Body: Underlying Mechanisms Involved and Consequences.Current medicinal chemistry · 2025Review
- Prevalence of coronary heart disease and its risk factors by working environment among Japanese male workers.Industrial health · 2023Article
- Metabolic syndrome incidence in an aging workforce: Occupational differences and the role of health behaviors.SSM - population health · 2021Article
- An Association between Maternal Occupations and Low Birth Weight Infants in Japan from 1995 to 2015.International journal of environmental research and public health · 2021Article
- Association between metabolic syndrome and work: an integrative review of the literature.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT · 2020Review
- Occupational distribution of metabolic syndrome prevalence and incidence differs by sex and is not explained by age and health behavior: results from 75 000 Dutch workers from 40 occupational groups.BMJ open diabetes research & care · 2020Article
- Utility of a Specific Health Checkup Database Containing Lifestyle Behaviors and Lifestyle Diseases for Employee Health Insurance in Japan.Journal of epidemiology · 2020Article
- Relationship Between Metabolic Syndrome and the Brazilian Workers' Food Program in Male and Female Manufacturing Workers.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Thai CV Risk Score and Primary Prevention in Impaired Fasting Plasma Glucose or Diabetes Mellitus versus Normoglycemia in Patients with Metabolic Syndrome.International journal of preventive medicine · 2020Article
- Article
- Prevalence of Metabolic Syndrome and its Associated Factors among Multi-ethnic Adults in Rural Areas in Xinjiang, China.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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 Socratic graph.