ArticleJournal of epidemiology2020
Utility of a Specific Health Checkup Database Containing Lifestyle Behaviors and Lifestyle Diseases for Employee Health Insurance in Japan.
Article in Journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 47 citations in OpenAlex.
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- Associations between clustering of hypoglycemic symptoms, psychological traits, and problem-solving abilities in adults with type 1 diabetes: baseline data analysis of the PR-IAH study.Diabetology international · 2025Article
- Impact of lifestyle behaviors on the development of lifestyle diseases: A retrospective cohort study.PloS one · 2025Article
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- Development and validation of the Meiji Nutritional Profiling System for children.Frontiers in nutrition · 2025Article
- Comparison of reoperation incidence after fusion versus decompression for lumbar degenerative disease: A propensity score-weighted study.Annals of clinical epidemiology · 2025Article
- Universal Health Checkups and Risk of Incident Diabetes and Hypertension.JAMA network open · 2024Article
- Association of hypoglycemia problem-solving abilities with severe hypoglycemia in adults with type 1 diabetes: a Poisson regression analysis.Diabetology international · 2024Article
- Development and Validation of the Meiji Nutritional Profiling System (Meiji NPS) to Address Dietary Needs of Adults and Older Adults in Japan.Nutrients · 2024Article
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- Factors associated with non-participation in breast cancer screening: analysis of the 2016 and 2019 comprehensive survey of living conditions in Japan.Breast cancer (Tokyo, Japan) · 2023Article
- To Use or Not to Use a Self-monitoring of Blood Glucose System? Real-world Flash Glucose Monitoring Patterns Using a Cluster Analysis of the FGM-Japan Study.Internal medicine (Tokyo, Japan) · 2023Article
- Article
- Factors Associated With the Development of Bacterial Pneumonia Related to Seasonal Influenza Virus Infection: A Study Using a Large-scale Health Insurance Claim Database.Open forum infectious diseases · 2023Article
- Protective and risk factors of impaired awareness of hypoglycemia in patients with type 1 diabetes: a cross-sectional analysis of baseline data from the PR-IAH study.Diabetology & metabolic syndrome · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Japanese Ministry of Health, Labour and Welfare introduced Specific Health Checkups (SHC) to identify individuals at risk of metabolic syndrome (MS). This study aimed to describe the SHC database developed by the Japan Medical Data Center Co., Ltd. (JMDC) as a means of exploring lifestyle behaviors and lifestyle diseases among working generations.
methodsWe conducted a retrospective, cross-sectional study of employees and their families using the JMDC-SHC database to describe the prevalence of lifestyle behaviors (smoking, exercise, dietary habits, drinking habits, and sleeping) and lifestyle diseases (MS, hypertension, dyslipidemia, and diabetes mellitus). Results were compared with data from the 2015 National Health and Nutrition Survey (NHNS) in Japan as a benchmark.
resultsAll 646,869 enrollees in the JMDC-SHC database were included, of whom 66.5% were men. Age ranged from 40-74 years. Compared with the results of the NHNS, the JMDC-SHC subjects were younger and had fewer MS components and a lower prevalence of diabetes and hypertension. Subjects in their 40s were most likely to have unhealthy lifestyle behaviors in all age groups (eg, smoking: 41.0% in men and 10.2% in women). The SHC group had more favorable behaviors overall, but underweight was more prevalent in the SHC females.
conclusionsThe JMDC-SHC population showed different lifestyle and lifestyle disease profiles to the NHNS population, probably due to its different age, gender, and employment distributions. Development of healthcare policies and plans for working generations would benefit from the selection of an age- and employment-appropriate database.
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