Work, physical activity, and metabolic health: Understanding insulin sensitivity of long-haul truck drivers

Work ◽  
2021 ◽  
pp. 1-9
Author(s):  
Michael K. Lemke ◽  
Douglas J Oberlin ◽  
Yorghos Apostolopoulos ◽  
Adam Hege ◽  
Sevil Sönmez ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Sensitivity ◽  
General Population ◽  
Metabolic Health ◽  
Truck Drivers ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Sagittal Abdominal Diameter ◽  
Haul Truck

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.

scholarly journals Differences in Muscle and Adipose Tissue Gene Expression and Cardio-Metabolic Risk Factors in the Members of Physical Activity Discordant Twin Pairs

PLoS ONE ◽  
2010 ◽  
Vol 5 (9) ◽  
pp. e12609 ◽  
Author(s):  
Tuija Leskinen ◽  
Rita Rinnankoski-Tuikka ◽  
Mirva Rintala ◽  
Tuulikki Seppänen-Laakso ◽  
Eija Pöllänen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Physical Activity ◽  
Risk Factors ◽  
Adipose Tissue ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Adipose Tissue Gene Expression ◽  
Tissue Gene Expression ◽  
Discordant Twin

Birth Weight And Cardio-metabolic Risk Factors In Youth- Does Physical Activity Matter?

2015 ◽  
Vol 47 ◽  
pp. 483
Author(s):  
Guro P. Øglund ◽  
Katrien Wijndaele ◽  
Paul Collings ◽  
Ashley Cooper ◽  
Lauren Sherar ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Birth Weight ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

scholarly journals Association between objectively assessed sedentary time and physical activity with metabolic risk factors among people with recently diagnosed type 2 diabetes

Diabetologia ◽  
2013 ◽  
Vol 57 (1) ◽  
pp. 73-82 ◽  
Author(s):  
Andrew J. M. Cooper ◽  
Soren Brage ◽  
Ulf Ekelund ◽  
Nicholas J. Wareham ◽  
Simon J. Griffin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Sedentary Time ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

scholarly journals Relationship Between Metabolic Syndrome and Moderate-to-Vigorous Physical Activity in Youth

2015 ◽  
Vol 12 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Aristides M. Machado-Rodrigues ◽  
Neiva Leite ◽  
Manuel J. Coelho e Silva ◽  
João Valente-dos-Santos ◽  
Raul A. Martins ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Metabolic Syndrome ◽  
Vigorous Physical Activity ◽  
Density Lipoprotein ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Lifestyle Behaviors ◽  
Increased Risk ◽  
Run Test

Background:Associations of metabolic syndrome (MetS) with lifestyle behaviors in youth is potentially important for identifying subgroups at risk and encourage interventions. This study evaluates the associations among the clustering of metabolic risk factors and moderate-to-vigorous physical activity (MVPA) in youth.Methods:The sample comprised 522 girls and 402 boys (N = 924) aged 11 to 17 years. Height, weight, waist circumference (WC), fasting glucose, high-density lipoprotein cholesterol, triglycerides, and blood pressures were measured. Cardiorespiratory fitness (CRF) was assessed using the 20-m shuttle run test. MVPA was estimated with a 3-day diary. Outcome variables were statistically normalized and expressed as z scores. A clustered metabolic risk score was computed as the mean of z scores. Multiple linear regression was used to test associations between metabolic risk and MVPA by sex, adjusted for age, WC, and CRF.Results:After adjustment for potential confounders, MVPA was inversely associated with the clustering of metabolic risk factors in girls, but not in boys; in addition, after adjusting for WC, the statistical model of that relationship was substantially improved in girls.Conclusion:MVPA was independently associated with increased risk of MetS in girls. Additional efforts are needed to encourage research with different analytical approach and standardization of criteria for MetS in youth.

scholarly journals Correction: Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0136224 ◽  
Author(s):  
Roman Leischik ◽  
Peter Foshag ◽  
Markus Strauß ◽  
Henning Littwitz ◽  
Pankaj Garg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Aerobic Capacity ◽  
Police Officers ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

scholarly journals Prevalence of Stroke Risk Factors in an Urban Community at Parakou (Northern Benin) in 2016

2021 ◽  
Author(s):  
Yèssito Corine Nadège Houehanou ◽  
Mendinatou Agbetou ◽  
Oyéné Kossi ◽  
Maurice Agonnoudé ◽  
Hospice Hountada ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
High Blood Pressure ◽  
Stroke Risk ◽  
Demographic Data ◽  
Metabolic Risk Factors ◽  
Sub Saharan Africa ◽  
Metabolic Risk ◽  
Stroke Risk Factors

Abstract Background: Sub-Saharan Africa faces a high burden of stroke due to growing of their risk factors. We aimed to estimate the prevalence of stroke risk factors and to identify associated factors in the district of Titirou in Parakou (northern Benin), in 2016.Methods: It was a cross-sectional study. It included adults living in Titirou and having given their consent. A door-to-door survey was performed from 15 march to 15 July 2016 in each neighbourhood or village until the expected number reached. We recorded the socio-demographic data, medical histories, anthropometric and blood pressure measures using WHO steps approach. Prevalences of stroke risk factors were calculated and a logistic regression was done to identify factors associated with metabolic risk factors.Results: A total of 4671 participants was included with a mean age of 27.7±12.9 years and a sex ratio of 0.97. Prevalences of behavioural risk factors were estimated at: 17.2% of alcohol consumption, 21.5% of low fruits and vegetables consumption, 51.1% of low physical activity practice, and 3.5% of smoking. Metabolic risk factors prevalence’s amounted to: 8.7% of obesity, 7.1% of high blood pressure, 1.7% of self-reported diabetes and 2.2% of dyslipidaemia. Age (p<0.001), sex (p<0.001), marital status (p<0.001) and professional occupation (p=0.010) were associated with obesity. Age was also associated with high blood pressure (p<0.001) and diabetes (p<0.001). Dyslipidaemia varied according to smoking (p=0.033) and low physical activity practice (p=0.003). Conclusion: The study showed high prevalences of low physical activity practice and obesity. Targeted local interventions focused on these factors should be conducted for primary prevention of stroke in this community, or even beyond in Benin.

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