Association between long working hours and diet quality and patterns: A latent profile analysis of a nationally representative sample of Korean workers

Seong Uk Baek, Jong Uk Won, Yu Min Lee, Jin Ha Yoon

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Background: Long working hours are associated with cardiovascular and metabolic diseases. This study investigated the relationship between the working hours and dietary qualities and patterns in Korean workers. Methods: Data from 24,523 workers were extracted from the Korea National Health and Nutrition Examination Survey, 2013–2021. The Korean Healthy Eating Index (KHEI), which ranges from 0 to 100, with a higher score indicating greater adherence to Korean dietary guidelines and superior dietary quality, was used for dietary assessment. We identified dietary patterns and classified workers using latent profile analysis. Logistic regressions were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results: Five distinct dietary patterns emerged: healthy diet (24.8%), low-vegetable diet (14.0%), average diet (7.8%), low-fruit diet (31.4%), and poor diet (22.0%). The mean KHEI score was 60.8, with the highest score observed in the healthy diet pattern (71.3) and the lowest, in the poor diet pattern (50.0). Compared with working 35–40 h/week, working ≥55 h/week was negatively associated with KHEI scores (β: -1.08; 95% CI: −1.67, −0.49). Those working ≥55 h/week were less likely to have a healthy diet pattern (OR: 0.81; 95% CI: 0.72, 0.91) and more likely to have a low-fruit diet (OR: 1.36; 95% CI: 1.20, 1.55) or poor diet pattern (OR: 1.23; 95% CI: 1.05, 1.43) compared with those working 35–40 h/week. Conclusion: Long working hours are associated with undesirable dietary quality and patterns. Policy interventions aimed at enhancing dietary quality are needed to alleviate the health burdens associated with long working hours.

Original languageEnglish
Article number107890
JournalPreventive Medicine
Volume180
DOIs
Publication statusPublished - 2024 Mar

Bibliographical note

Publisher Copyright:
© 2023

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Association between long working hours and diet quality and patterns: A latent profile analysis of a nationally representative sample of Korean workers'. Together they form a unique fingerprint.

Cite this