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Work, physical activity, and metabolic health: Understanding insulin sensitivity of long-haul truck drivers.
- Source :
- Work; 2021, Vol. 69 Issue 1, p225-233, 9p, 3 Charts, 1 Graph
- Publication Year :
- 2021
-
Abstract
- BACKGROUND: Long-haul truck drivers are disproportionately exposed to metabolic risk; however, little is known about their metabolic health and the role of physical activity and other risk factors in metabolic outcomes. OBJECTIVE: This study compares truck drivers' insulin sensitivity, and associations between metabolic risk factors and insulin sensitivity, with those of the general population. METHODS: Survey, anthropometric, and biometric data were collected from 115 long-haul truckers, which were then compared to the general population data using the National Health and Nutrition Examination Survey (NHANES) dataset. The quantitative insulin sensitivity check index (QUICKI) was used to estimate insulin sensitivity. RESULTS: Truck drivers had lower QUICKI scores than the general population cohort. Sagittal abdominal diameter and exercise were predictive for QUICKI among combined cohorts. Waist circumference and perceived health were more predictive for QUICKI among truck drivers, and sagittal abdominal diameter and income were more predictive for QUICKI among the general population. CONCLUSIONS: Long-haul truckers appear to represent a subset of the general population regarding the impact of physical activity and other metabolic risk factors on QUICKI. Accordingly, comprehensive efforts which target these factors are needed to improve truckers' physical activity levels and other metabolic risks. [ABSTRACT FROM AUTHOR]
- Subjects :
- BLOOD testing
CARDIOVASCULAR diseases risk factors
SEDENTARY lifestyles
STATISTICS
ANTHROPOMETRY
ONE-way analysis of variance
HEALTH status indicators
BLOOD collection
MANN Whitney U Test
INSULIN sensitivity
PHYSICAL activity
SURVEYS
INCOME
TYPE 2 diabetes
EXERCISE
WAIST circumference
QUESTIONNAIRES
DESCRIPTIVE statistics
CHI-squared test
ANALYSIS of covariance
RESEARCH funding
BIOMETRY
ABDOMEN
TRUCK drivers
LONGITUDINAL method
PROBABILITY theory
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 10519815
- Volume :
- 69
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Work
- Publication Type :
- Academic Journal
- Accession number :
- 162067305
- Full Text :
- https://doi.org/10.3233/WOR-213472