JMA Journal
Online ISSN : 2433-3298
Print ISSN : 2433-328X
Original Research Article
Difference in Age- and Sex-adjusted Prevalence of Diseases between Employees and Nonemployees with Health Insurance in Japan
Masakazu KohdaAkira OkadaHideo Yasunaga
Author information
JOURNAL OPEN ACCESS
Supplementary material

2025 Volume 8 Issue 2 Pages 411-416

Details
Abstract

Introduction: Administrative claims data are used in clinical studies. However, individuals insured by different insurance systems have different backgrounds, ages, and disease prevalences. This study aimed to examine the crude and adjusted prevalence of diseases between employee and nonemployee health insurance in Japan.

Methods: We conducted a cross-sectional study using the DeSC database, an administrative claims database covering multiple insurers. We calculated the prevalence of 10 disease categories and 6 specific cancers with and without adjustments for age and sex and compared them between the employee (Kempo) and nonemployee (Kokuho) insurance systems.

Results: We identified 740,217 and 3,312,042 individuals covered by Kempo and Kokuho, respectively. The Kokuho group showed a higher crude prevalence of malignancies, endocrinological diseases, mental disorders, neurological diseases, cardiovascular diseases, and kidney or genitourinary diseases. The adjusted prevalence differed in mental disorders (7.2% vs. 10.6%), neurological diseases (10.5% vs. 14.0%), and gastrointestinal diseases (50.1% vs. 34.1%) between the Kempo and Kokuho groups.

Conclusions: While using administrative claims data, researchers should consider differences in patient backgrounds and disease prevalence among insurance providers.

Content from these authors
© 2025 Japan Medical Association

JMA Journal applies the Creative Commons Attribution License to all works published by the journal. Anyone may download, reuse, copy, reprint, distribute, or modify articles published in the journal, if they cite the original authors and source. No permission is required from the publisher.
https://creativecommons.org/licenses/by/4.0/
Previous article Next article
feedback
Top