» Articles » PMID: 32796731

Opposite Effects of Work-Related Physical Activity and Leisure-Time Physical Activity on the Risk of Diabetes in Korean Adults

Overview
Publisher MDPI
Date 2020 Aug 16
PMID 32796731
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

The object of this study was to examine the effects of domestic and work-related physical activity (DWPA) and leisure-time physical activity (LTPA) on the risk of diabetes, by categorizing fasting blood glucose (FBG) levels into normal, Impaired Fasting Glucose (IFG), and diabetes. The sample consisted of 4661 adults aged 30 years or above, and was chosen from the 2017 Korean National Health and Nutrition Examination Survey (KNHANES) data. Of all the subjects, 14.6% engaged in high-intensity DWPA and 6.25% in moderate-intensity DWPA; while 11.68% and 24.80% engaged in high- and moderate-intensity LTPA, respectively. The effects of both types of physical activities on the risk of diabetes were analyzed using a Bayesian ordered probit model. For those with high-intensity DWPA, the probability of the FBG level being normal was 5.10% (SE = 0.25) lower than for those with non-high-intensity DWPA, and the probabilities of IFG and diabetes were 3.30% (SE = 0.15) and 1.79% (SE = 0.09) higher, respectively. However, for those with high-intensity LTPA, the probability of the FBG level being normal was 2.54% (SE = 0.09) higher, and the probabilities of IFG and diabetes were 1.74% (SE = 0.07) and 0.80% (SE = 0.03) lower, respectively, than those with non-high-intensity LTPA. Likewise, for moderate-intensity DWPA and LTPA, the results were the same compared to low-intensity physical activities though the magnitude of the effects were smaller than for high-intensity. Thus, the activities related to work have a negative effect and those related to leisure have a positive effect. The criteria for physical activities to reduce the risk of diabetes should be set by separating these domains of physical activity, and new management strategies for diabetes are needed for people with moderate- or high-intensity DWPA.

Citing Articles

Association between domain-specific physical activity and triglyceride‑glucose (TyG) index among US adults: Evidence from NHANES 2007-2018.

Yao K BMC Public Health. 2025; 25(1):159.

PMID: 39815268 PMC: 11734375. DOI: 10.1186/s12889-025-21379-2.


Association of domain-specific physical activity with albuminuria among prediabetes and diabetes: a large cross-sectional study.

Xiong B, Wang Y, He J, Wang L, He R, Zhu M J Transl Med. 2024; 22(1):252.

PMID: 38459493 PMC: 10921818. DOI: 10.1186/s12967-024-05061-6.


Bibliometric Analysis of Published Original Research Articles on Leisure Constraints between 1991 and 2019.

Kose E, Yerlisu-Lapa T, Gokce H, Alexandris K, Yucel A Iran J Public Health. 2024; 52(12):2572-2582.

PMID: 38435761 PMC: 10903323. DOI: 10.18502/ijph.v52i12.14318.


Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta.

Wang X, Ren J, Ren H, Song W, Qiao Y, Zhao Y Sci Rep. 2023; 13(1):12718.

PMID: 37543637 PMC: 10404250. DOI: 10.1038/s41598-023-40036-5.


Occupational and domestic physical activity and diabetes risk in adults: Results from a long-term follow-up cohort.

Wang J, He L, Yang N, Li Z, Xu L, Li W Front Endocrinol (Lausanne). 2022; 13:1054046.

PMID: 36568093 PMC: 9780271. DOI: 10.3389/fendo.2022.1054046.


References
1.
Kweon S, Kim Y, Jang M, Kim Y, Kim K, Choi S . Data resource profile: the Korea National Health and Nutrition Examination Survey (KNHANES). Int J Epidemiol. 2014; 43(1):69-77. PMC: 3937975. DOI: 10.1093/ije/dyt228. View

2.
Chien K, Chen M, Hsu H, Su T, Lee Y . Sports activity and risk of type 2 diabetes in Chinese. Diabetes Res Clin Pract. 2009; 84(3):311-8. DOI: 10.1016/j.diabres.2009.03.006. View

3.
Venn B, Williams S, Mann J . Comparison of postprandial glycaemia in Asians and Caucasians. Diabet Med. 2010; 27(10):1205-8. DOI: 10.1111/j.1464-5491.2010.03069.x. View

4.
Brach J, Simonsick E, Kritchevsky S, Yaffe K, Newman A . The association between physical function and lifestyle activity and exercise in the health, aging and body composition study. J Am Geriatr Soc. 2004; 52(4):502-9. DOI: 10.1111/j.1532-5415.2004.52154.x. View

5.
Hu G, Qiao Q, Silventoinen K, Eriksson J, Jousilahti P, Lindstrom J . Occupational, commuting, and leisure-time physical activity in relation to risk for Type 2 diabetes in middle-aged Finnish men and women. Diabetologia. 2003; 46(3):322-9. DOI: 10.1007/s00125-003-1031-x. View