Literature DB >> 26341929

Impact of change in job status on mortality for newly onset type II diabetes patients: 7 years follow-up using cohort data of National Health Insurance, Korea.

Donggyo Shin1, Ji Man Kim2, Tinyami Erick Tandi3, Eun-Cheol Park4.   

Abstract

OBJECTIVE: This study investigates the relationship between change in job status and mortality of newly diagnosed type II diabetes patients by gender.
METHODS: Newly onset of individuals diagnosed with type II diabetes in the years 2003 and 2004, had 7 years follow-up using National Health Insurance Corporation (NHIC) sample cohort data. The individuals diagnosed with type II diabetes within this period were 14,861. After adjusting for age, initial income group, insulin treatment and medical service utilization, hazard ratio was analyzed using Cox's proportional hazard model.
RESULTS: Mortality hazard ratio of continuously unemployed individuals is 3.78 times higher in males and 9.78 times higher in females than in those who keep their jobs. Also, individuals with a change in job status (e.g. from industrial worker to unemployed or self-employed), the mortality hazard ratio is 2.24 times higher in males and 5.23 times higher in females than in those who keep their jobs. The impact of change in job status change is largest for the middle class males. The middle class males has the higher mortality hazard ratio, 6.14 times in maintain unemployed and 4.12 times in change his job (industrial worker to unemployed or self-employer) than maintain one's job.
CONCLUSIONS: The continuous unemployment and the loss of job are related to risk of death in diabetic patients. The impact of unemployed is stronger than job change (loss or change). The impact of job status change is largest for the middle class man.
Copyright © 2015 Diabetes India. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diabetes; Economic status; Hazard ratio; Job status change; Mortality

Mesh:

Year:  2015        PMID: 26341929     DOI: 10.1016/j.dsx.2015.08.012

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  1 in total

1.  Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study.

Authors:  Xuhua Ying; Shuyue Yang; Songtao Li; Meifang Su; Na Wang; Yue Chen; Qingwu Jiang; Chaowei Fu
Journal:  BMC Public Health       Date:  2021-11-06       Impact factor: 3.295

  1 in total

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