Effects of Occupational and Leisure-Time Physical Activities on Insomnia in Korean Firefighters

Myeongseob Lim, Kyoung Sook Jeong, Sung-Soo Oh, Sang-Baek Koh, Sei-Jin Chang and Yeon-Soon Ahn
Additional contact information
Myeongseob Lim: Department of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Yonsei Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
Kyoung Sook Jeong: Department of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Yonsei Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
Sung-Soo Oh: Department of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Yonsei Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
Sang-Baek Koh: Department of Preventive Medicine and Genomic Cohort Institute, Yonsei Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
Sei-Jin Chang: Department of Preventive Medicine, Institute of Occupational and Environmental Medicine, Yonsei Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
Yeon-Soon Ahn: Department of Preventive Medicine and Genomic Cohort Institute, Yonsei Wonju College of Medicine, Yonsei University, Wonju 26426, Korea

IJERPH, 2020, vol. 17, issue 15, 1-20

Abstract: Studies have been conducted on the association between physical activity (PA) and sleep, but to the best of our knowledge, a simultaneous analysis of the effects of occupational PA (OPA) and leisure time PA (LTPA) on South Korean firefighters’ sleep has never been conducted. This study aims to analyze how OPA and LTPA affect these individuals’ risk of suffering from insomnia with-in this specific population of subjects. The study includes data from an online self-report survey in which 9788 South Korean firefighters participated. The survey used the Insomnia Severity Index and the OPA- and LTPA-related characteristics were investigated. The independent two-sample t -test, χ 2 test, and multiple logistic regression analysis were performed. Subgroup logistic regression analyses were also completed in accordance with the OPA level. Among 9788 participants, 890 (9.1%) suffered from insomnia. A logistic regression analysis revealed that higher levels of feeling of job loading (FoJL), rising levels of physical strength utilization rate (PSUR), greater frequency levels of occupational activities, and high-intensity LTPA were significantly correlated with an increased risk of insomnia, while execution of LTPA and getting enough rest after LTPA was correlated with a decreased risk. However, the subgroup analysis showed that high-intensity LTPA was correlated with a significantly increased the risk in the group with high OPA, but this did not apply to the group with low OPA. Although the risk of suffering from insomnia was overall significantly higher in the high OPA group, the risk was significantly lower in groups getting enough rest after partaking in LTPA, regardless of the OPA level. Thus, the intensity of exercise programs pre-scribed to groups with high OPA and individuals with higher risks of suffering from insomnia, such as firefighters, police officers, and soldiers, should be considered.

Keywords: firefighters; physical activity; occupational physical activity; leisure time physical activity; job loading; insomnia (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/17/15/5397/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/15/5397/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:15:p:5397-:d:390429

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().