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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Nov 30, 2023
Date Accepted: May 14, 2024

The final, peer-reviewed published version of this preprint can be found here:

Multimorbidity and its Associated Factors in Korean Shift Workers: Population-Based Cross-Sectional Study

Hong HC, Kim YM

Multimorbidity and its Associated Factors in Korean Shift Workers: Population-Based Cross-Sectional Study

JMIR Public Health Surveill 2024;10:e55014

DOI: 10.2196/55014

PMID: 38857074

PMCID: 11196912

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Multimorbidity patterns and its associated factors in Korean shift workers: A population-based study

  • Hye Chong Hong; 
  • Young Man Kim

ABSTRACT

Background:

Multimorbidity is a crucial factor that influences premature death rates, poor health, and healthcare utilization. Approximately one-fifth of the global workforce is involved in shift work which is associated with increased risk for several chronic diseases and multimorbidity.

Objective:

This study aimed to identify multimorbidity patterns and examine the factors associated with multimorbidity among shift workers in Korea.

Methods:

Data from the Korea National Health and Nutrition Examination Surveys (KNHANES) from 2016 to 2020 were utilized. The study included n = 1,704 (Weighted N = 2,697,228) Korean shift workers aged 19 and older. Multimorbidity patterns were identified by network analysis, and a survey-corrected logistic regression analysis was performed to identify influencing factors of multimorbidity among the workers.

Results:

The overall prevalence of multimorbidity was 13.7%. Network analysis results revealed that chronic diseases clustered into three groups: 1) cardiometabolic multimorbidity 2) musculoskeletal multimorbidity, and 3) an unclassified disease group. Logistic regression indicated that age, income, regular work, and obesity were significant factors influencing multimorbidity.

Conclusions:

The findings revealed that several socioeconomic and behavioral factors were associated with multimorbidity among shift workers indicating the need for policy development related to work schedule modification. Further organization-level screening and intervention programs are needed to prevent and manage multimorbidity among shift workers.


 Citation

Please cite as:

Hong HC, Kim YM

Multimorbidity and its Associated Factors in Korean Shift Workers: Population-Based Cross-Sectional Study

JMIR Public Health Surveill 2024;10:e55014

DOI: 10.2196/55014

PMID: 38857074

PMCID: 11196912

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.