Prevalence of type 2 diabetes by age, sex and geographical area among two million public assistance recipients in Japan: a cross-sectional study using a nationally representative claims database.


Journal

Journal of epidemiology and community health
ISSN: 1470-2738
Titre abrégé: J Epidemiol Community Health
Pays: England
ID NLM: 7909766

Informations de publication

Date de publication:
04 2022
Historique:
received: 05 12 2020
accepted: 11 10 2021
pubmed: 30 10 2021
medline: 24 3 2022
entrez: 29 10 2021
Statut: ppublish

Résumé

Recognising the importance of the social determinants of health, the Japanese government introduced a health management support programme targeted at type 2 diabetes (T2D) for public assistance recipients (PAR) in 2018. However, evidence of the T2D prevalence among PAR is lacking. We aimed to estimate T2D prevalence by age and sex among PAR, compared with the prevalence among health insurance enrollees (HIE). Additionally, regional differences in T2D prevalence among PAR were examined. This was a cross-sectional study using 1-month health insurance claims of both PAR and HIE. The Fact-finding Survey data on Medical Assistance and the National Database of Health Insurance Claims data were used. T2D prevalence among PAR and HIE were assessed by age and sex, respectively. Moreover, to examine regional differences in T2D prevalence of inpatients and outpatients among PAR, T2D crude prevalence and age-standardised prevalence were calculated by prefecture. Multilevel logistic regression analysis was also conducted at the city level. T2D crude prevalence was 7.7% in PAR (inpatients and outpatients). Among outpatients, the prevalence was 7.5% in PAR and 4.1% in HIE, respectively. The mean crude prevalence and age-standardised prevalence of T2D (inpatients and outpatients) among 47 prefectures were 7.8% and 3.9%, respectively. In the city-level analysis, the OR for the prevalence of T2D by region ranged from 0.31 to 1.51. The prevalence of T2D among PAR was higher than HIE and there were regional differences in the prevalence of PAR. Measures to prevent the progression of diabetes among PAR by region are needed.

Sections du résumé

BACKGROUND
Recognising the importance of the social determinants of health, the Japanese government introduced a health management support programme targeted at type 2 diabetes (T2D) for public assistance recipients (PAR) in 2018. However, evidence of the T2D prevalence among PAR is lacking. We aimed to estimate T2D prevalence by age and sex among PAR, compared with the prevalence among health insurance enrollees (HIE). Additionally, regional differences in T2D prevalence among PAR were examined.
METHODS
This was a cross-sectional study using 1-month health insurance claims of both PAR and HIE. The Fact-finding Survey data on Medical Assistance and the National Database of Health Insurance Claims data were used. T2D prevalence among PAR and HIE were assessed by age and sex, respectively. Moreover, to examine regional differences in T2D prevalence of inpatients and outpatients among PAR, T2D crude prevalence and age-standardised prevalence were calculated by prefecture. Multilevel logistic regression analysis was also conducted at the city level.
RESULTS
T2D crude prevalence was 7.7% in PAR (inpatients and outpatients). Among outpatients, the prevalence was 7.5% in PAR and 4.1% in HIE, respectively. The mean crude prevalence and age-standardised prevalence of T2D (inpatients and outpatients) among 47 prefectures were 7.8% and 3.9%, respectively. In the city-level analysis, the OR for the prevalence of T2D by region ranged from 0.31 to 1.51.
CONCLUSION
The prevalence of T2D among PAR was higher than HIE and there were regional differences in the prevalence of PAR. Measures to prevent the progression of diabetes among PAR by region are needed.

Identifiants

pubmed: 34711673
pii: jech-2020-216158
doi: 10.1136/jech-2020-216158
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

391-397

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Tami Sengoku (T)

Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan sengoku.tami.5@gmail.com.

Tatsuro Ishizaki (T)

Human Care Research Team, Tokyo Metropolitan Institute of Gerontology, Itabashi-ku, Tokyo, Japan.

Yoshihito Goto (Y)

Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan.

Tomohide Iwao (T)

Kyoto University Hospital, Kyoto, Japan.

Shosuke Ohtera (S)

Kyoto University Hospital, Kyoto, Japan.
National Institute of Public Health, Wako, Japan.

Michi Sakai (M)

Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan.
Comprehensive Unit for Health Economic Evidence Review and Decision Support, Ritsumeikan University, Kyoto, Japan.

Genta Kato (G)

Kyoto University Hospital, Kyoto, Japan.

Takeo Nakayama (T)

Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan.

Yoshimitsu Takahashi (Y)

Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan.

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