Metabolic syndrome among commercial truck drivers: The relationship between condition prevalence and crashes.
commercial truck drivers
crashes
medical certification
metabolic syndrome
near-misses
Journal
American journal of industrial medicine
ISSN: 1097-0274
Titre abrégé: Am J Ind Med
Pays: United States
ID NLM: 8101110
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
revised:
27
09
2022
received:
25
04
2022
accepted:
03
10
2022
pubmed:
22
10
2022
medline:
15
12
2022
entrez:
21
10
2022
Statut:
ppublish
Résumé
Metabolic syndrome (MetS) is especially prevalent among US truck drivers. However, there has been limited research exploring associations between MetS conditions with roadway crashes among truck drivers. The objective of this paper is to assess relationships between specific combinations of individual MetS components and crashes and near-misses. Survey, biometric, and anthropometric data were collected from 817 truck drivers across 6 diverse US states. Survey data focused on demographics and roadway safety outcomes, and anthropometric/biometric data corresponded to five MetS conditions (waist circumference blood pressure, hemoglobin A1c, triglycerides, and high-density lipoprotein [HDL] cholesterol). Logistic regression was used to calculate odds ratios of lifetime crashes and near-miss 1-month period prevalence associated with: 1) specific MetS conditions regardless of presence or absence of other MetS conditions, and 2) specific MetS conditions and counts of other accompanying MetS conditions. Hypertension was the MetS characteristic most strongly associated with lifetime crash and 1-month near-miss outcomes, while high triglycerides, low HDL cholesterol, and large waist circumference were most commonly present among groups of conditions associated with crashes and near-misses. Overall, an increasing number of specific co-occurring MetS conditions were associated with higher reporting of roadway crashes. Specific combinations and higher prevalence of MetS conditions were associated with increased frequency of reported crashes. Moreover, when the co-occurrence of MetS conditions is aggregated, a dose-response relationship with crashes appears. These results suggest that policy changes and interventions addressing MetS may increase driver health and reduce crash risk.
Sections du résumé
BACKGROUND
Metabolic syndrome (MetS) is especially prevalent among US truck drivers. However, there has been limited research exploring associations between MetS conditions with roadway crashes among truck drivers. The objective of this paper is to assess relationships between specific combinations of individual MetS components and crashes and near-misses.
METHODS
Survey, biometric, and anthropometric data were collected from 817 truck drivers across 6 diverse US states. Survey data focused on demographics and roadway safety outcomes, and anthropometric/biometric data corresponded to five MetS conditions (waist circumference blood pressure, hemoglobin A1c, triglycerides, and high-density lipoprotein [HDL] cholesterol). Logistic regression was used to calculate odds ratios of lifetime crashes and near-miss 1-month period prevalence associated with: 1) specific MetS conditions regardless of presence or absence of other MetS conditions, and 2) specific MetS conditions and counts of other accompanying MetS conditions.
RESULTS
Hypertension was the MetS characteristic most strongly associated with lifetime crash and 1-month near-miss outcomes, while high triglycerides, low HDL cholesterol, and large waist circumference were most commonly present among groups of conditions associated with crashes and near-misses. Overall, an increasing number of specific co-occurring MetS conditions were associated with higher reporting of roadway crashes.
CONCLUSIONS
Specific combinations and higher prevalence of MetS conditions were associated with increased frequency of reported crashes. Moreover, when the co-occurrence of MetS conditions is aggregated, a dose-response relationship with crashes appears. These results suggest that policy changes and interventions addressing MetS may increase driver health and reduce crash risk.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
54-64Informations de copyright
© 2022 Wiley Periodicals LLC.
Références
Costello R. Economics and industry data. American Trucking Associations. 2020. Accessed January 7, 2021. https://www.trucking.org/economics-and-industry-data
U.S. Bureau of Labor Statistics. Occupational outlook handbook: heavy and tractor-trailer truck drivers. U.S. Department of Labor. 2020. Accessed December 12, 2020. https://www.bls.gov/ooh/transportation-and-material-moving/heavy-and-tractor-trailer-truck-drivers.htm
Apostolopoulos Y, Lemke M, Sonmez S. Risks endemic to long-haul trucking in North America: strategies to protect and promote driver well-being. New Solut. 2014;24(1):57-81.
Farrell L, Soccolich S, Hanowski RJ. Assessing daily driving and working hours within the cContext of hours-of-service regulations. Paper presented at: 17th International Conference Road Safety On Five Continents; 2016; Rio de Janeiro, Brazil.
Belzer MH. Sweatshops on Wheels: Winners and Losers in Trucking Deregulation. Oxford University Press; 2000.
Krueger GP, Brewster RM, Dick VR, Inderbitzen RE, Staplin L. Health and Wellness Programs for Commercial Drivers. Transportation Research Board; 2007.
Chen GX, Sieber WK, Lincoln JE, et al. NIOSH national survey of long-haul truck drivers: injury and safety. Accid Anal Prev. 2015;85:66-72.
Birdsey J, Sieber WK, Chen GX, et al. National survey of US long-haul truck driver health and injury: health behaviors. J Occup Environ Med. 2015;57(2):210-216.
Hege A, Lemke MK, Apostolopoulos Y, Sönmez S. The impact of work organization, job stress, and sleep on the health behaviors and outcomes of US long-haul truck drivers. Health Educ Behav. 2019;46(4):626-636.
Hege A, Lemke MK, Apostolopoulos Y, Whitaker B, Sönmez S. Work-life conflict among U.S. long-haul truck drivers: influences of work organization, perceived job stress, sleep, and organizational support. Int J Environ Res Public Health. 2019;16:984-1013.
Lemke MK, Hege A, Apostolopoulos Y, Wideman L, Sönmez S. Work and sleep among transport operators: disparities and implications for safety. J Transp Health. 2017;7(B):298-309.
Ronna BB, Thiese MS, Ott U, et al. The association between cardiovascular disease risk factors and motor vehicle crashes among professional drivers. J Occup Environ Med. 2016;58(8):828-832.
Apostolopoulos Y, Lemke MK, Sönmez S, Hege A. The obesogenic environment of commerical trucking: a worksite environmental audit and implications for systems-based interventions. Am J Health Educ. 2016;47(2):85-93.
Apostolopoulos Y, Sonmez S, Shattell M, Gonzales C, Fehrenbacher C. Health survey of U.S. long-haul truck drivers: work environment, physical health, and healthcare access. Work. 2013;46(1):113-123.
Lemke MK, Meissen GJ, Apostolopoulos Y. Overcoming barriers in unhealthy settings: a phenomenological study of healthy truck drivers. Glob Qual Nurs Res. 2016;3:1-9.
Apostolopoulos Y, Sonmez S, Shattell M, Haldeman L, Strack R, Jones V. Barriers to truck drivers' healthy eating: environment influences and health promotion strategies. J Workplace Behav Health. 2011;26(2):122-143.
Apostolopoulos Y, Shattell M, Sonmez S, Strack R, Haldeman L, Jones V. Active living in the trucking sector: environmental barriers and health promotion strategies. J Phys Act Health. 2012;9(2):259-269.
Sieber WK, Robinson CF, Birdsey J, et al. Obesity and other risk factors: the National survey of US long-haul truck driver health and injury. Am J Ind Med. 2014;57(6):615-626.
Thiese MS, Moffitt G, Hanowski RJ, Kales SN, Porter RJ, Hegmann KT. Repeated cross-sectional assessment of commercial truck driver health. J Occup Environ Med. 2015;57(9):1022-1027.
Thiese MS, Hanowski RJ, Moffitt G, et al. A retrospective analysis of cardiometabolic health in a large cohort of truck drivers compared to the American working population. Am J Ind Med. 2018;61(2):103-110.
Benstowe SJ. Long driving hours and health of truck drivers. Newark, NJ: Department of Industrial and Manufacturing Engineering, New Jersey Institute of Technology. 2008.
Apostolopoulos Y, Lemke MK, Hege A, et al. Work and chronic disease: comparison of cardiometabolic risk markers between truck drivers and the general U.S. population. J Occup Environ Med. 2016;58(11):1098-1105.
Robbins RB, Thiese MS, Ott U, et al. Metabolic syndrome in commercial truck drivers: prevalence, associated factors, and comparison with the general population. J Occup Environ Med. 2020;62(7):453-459.
Lemke MK, Apostolopoulos Y, Hege A, Wideman L, Sönmez S. Work organization, sleep, and metabolic syndrome among long-haul truck drivers. Occup Med. 2017;67(4):274-281.
Lemke MK, Apostolopoulos Y, Hege A, Wideman L. Sönmez S. work, sleep, and cholesterol levels of U.S. long-haul truck drivers. Ind Health. 2017;55(2):149-161.
Federal Motor Carrier Safety Administration. Pocket Guide to Large Truck and Bus Statistics. US Department of Transportation. 2020. Accessed May 26, 2021. https://www.fmcsa.dot.gov/safety/data-and-statistics/commercial-motor-vehicle-facts
Federal Motor Carrier Safety Administration. Large truck and bus crash facts 2018. 2020. Accessed May 26, 2021. https://www.fmcsa.dot.gov/safety/data
National Heart Lung and Blood Institute. ATP III At-A-Glance: Quick Desk Reference. U.S. Department of Health & Human Services, National Institutes of Health. 2001. Accessed May 27, 2016. http://www.nhlbi.nih.gov/health-pro/guidelines/current/cholesterol-guidelines/quick-desk-reference-html
Sangaleti CT, Trincaus MR, Baratieri T, et al. Prevalence of cardiovascular risk factors among truck drivers in the south of Brazil. BMC Public Health. 2014;14(1):1063.
Anderson JE, Govada M, Steffen TK, et al. Obesity is associated with the future risk of heavy truck crashes among newly recruited commercial drivers. Accid Anal Prev. 2012;49(0):378-384.
Goodson BL, Wung SF, Archibold KH. Obstructive sleep apnea hypopnea syndrome and metabolic syndrome: a synergistic cardiovascular risk factor. J Am Acad Nurse Pract. 2012;24:1-9.
Ding EL, Smit LA, Hu FB. The metabolic syndrome as a cluster of risk factors: is the whole greater than the sum of its parts?: comment on “the metabolic syndrome, its component risk factors, and progression of coronary atherosclerosis”. Arch Intern Med. 2010;170(5):484-485.
Bonora BM, Marescotti M, Marcuzzo G, Avogaro A, Fadini GP. Synergistic interactions among metabolic syndrome components and homeostasis model assessment of insulin resistance in a middle-aged general population over time. Metab Syndr Relat Disord. 2015;13(4):171-178.
Shorti RM, Merryweather AS, Thiese MS, Kapellusch J, Garg A, Hegmann KT. Fall risk factors for commercial truck drivers. Journal of Ergonomics. 2014;S3(009):1-8.
Thiese MS, Ott U, Robbins R, et al. Factors associated with truck crashes in a large cross section of commercial motor vehicle drivers. J Occup Environ Med. 2015;57(10):1098-1106.
Garg A, Hegmann KT, Moore JS, et al. Study protocol title: a prospective cohort study of low back pain. BMC Musculoskelet Disord. 2013;14(1):1-13.
Alberti KG, Smith SC, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation, Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640-1645.
Federal Motor Carrier Safety Administration. Large Truck and Bus Crash Facts. U.S. Department of Transportation; 2017.
Westfall J, Yarkoni T. Statistically controlling for confounding constructs is harder than you think. PLoS One. 2016;11(3):e0152719.
McNamee R. Regression modelling and other methods to control confounding. Occup Environ Med. 2005;62(7):500-506.
McNamee R. Confounding and confounders. Occup Environ Med. 2003;60(3):227-234.
Pourhoseingholi MA, Baghestani AR, Vahedi M. How to control confounding effects by statistical analysis. Gastroenterol Hepatol Bed Bench. 2012;5(2):79-83.
Bachmann LH, Lichtenstein B, St Lawrence JS, Murray M, Russell GB, Hook EW. Health risks of American long-distance truckers: results from a multisite assessment. J Occup Environ Med. 2018;60(7):e349-e355.
Chalmers T, Lal S. Assessing cardiovascular associations to affective states in Australian truck drivers. JACRS. 2014;25:23-30.
Cui R, Tanigawa T, Sakurai S, Yamagishi K, Iso H. Relationships between sleep-disordered breathing and blood pressure and excessive daytime sleepiness among truck drivers. Hypertens Res. 2006;29(8):605-610.
Lemke MK, Hege A, Perko M, Sönmez S, Apostolopoulos Y. Work patterns, sleeping hours and excess weight in commercial drivers. Occup Med. 2015;65(9):725-731.
Cantor DE, Corsi TM, Grimm CM, Özpolat K. A driver focused truck crash prediction model. Transp Res E: Logist Transp Rev. 2010;46(5):683-692.
Xie W, Chakrabarty S, Levine R, Johnson R, Talmage JB. Factors associated with obstructive sleep apnea among commercial motor vehicle drivers. J Occup Environ Med. 2011;53(2):169-173.
Krueger GP. Health, wellness, fitness and commercial driver safety: a review of the issues. J Wash Acad Sci. 2008;94(3):31-59.
Thiese MS, Hanowski RJ, Kales SN, et al. Multiple conditions increase preventable crash risks among truck drivers in a cohort study. J Occup Environ Med. 2017;59:205-211.
Lemke MK, Apostolopoulos Y, Hege A, Sönmez S, Wideman L. Understanding the role of sleep quality and sleep duration in commercial driving safety. Accid Anal Prev. 2016;97:79-86.
de Padua Mansur A, Rocha MA, Leyton V, et al. Risk factors for cardiovascular disease, metabolic syndrome and sleepiness in truck drivers. Arq Bras Cardiol. 2015;105(6):560.
Berger M Employer-driven sleep apnea disease management program in commercial trucking. Research on the Health and Wellness of Commercial Truck and Bus Drivers. 2010.
Kales SN, Straubel MG. Obstructive sleep apnea in North American commercial drivers. Ind Health. 2014;52(1):13-24.
Berger M, Varvarigou V, Rielly A, Czeisler CA, Malhotra A, Kales SN. Employer-mandated sleep apnea screening and diagnosis in commercial drivers. J Occup Environ Med. 2012;54(8):1017-1025.
Després J-P, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444(7121):881-887.
Abbasi F, Blasey C, Reaven GM. Cardiometabolic risk factors and obesity: does it matter whether BMI or waist circumference is the index of obesity. Am J Clin Nutr. 2013;98(3):637-640.
Christian AH, Mochari H, Mosca LJ. Waist circumference, body mass index, and their association with cardiometabolic and global risk. J Cardiometab Syndr. 2009;4(1):12-19.
Federal Motor Carrier Safety Administration. DOT medical exam and commercial motor vehicle certification. U.S. Department of Transportation. 2019. Accessed December 10, 2016. https://www.fmcsa.dot.gov/medical/driver-medical-requirements/dot-medical-exam-and-commercial-motor-vehicle-certification
Thiese MS, Moffitt G, Hanowski RJ, et al. What medical conditions limit or medically disqualify truck drivers: a large cross sectional study. J Occup Environ Med. 2021;63(2):139-146.
Krueger GP, Belzer MH, Alvarez A, et al. Health and Wellness of Commercial Drivers. Transportation Research Board; 2007.
Federal Motor Carrier Safety Administration. FMCSA streamlines process allowing individuals with properly managed diabetes to operate commercial motor vehicles. U.S. Department of Transportation. 2018. Accessed July 7, 2022. https://www.fmcsa.dot.gov/newsroom/fmcsa-streamlines-process-allowing-individuals-properly-managed-diabetes-operate-commercial
Duggan S, McMurtrey M. Distribution in the food industry: impact of the 2020 truck driver shortage. J Mark Dev Comp. 2021;15:2.
McNally S. Industry short 80,000 drivers today, may be short 160,000 by 2030. American Trucking Associations. 2021. Accessed October 30 2021. https://www.trucking.org/news-insights/ata-chief-economist-pegs-driver-shortage-historic-high
Federal Motor Carrier Safety Administration Medical Review Board. Meeting summary. U.S. Department of Transportation. 2008. Accessed April 7, 2022. https://www.fmcsa.dot.gov/sites/fmcsa.dot.gov/files/docs/April_7_MRB_Meeting_Minutes_71708_Final_Updated10108.pdf
Solomon AJ, Doucette JT, Garland E, McGinn T. Healthcare and the long haul: long distance truck drivers-a medically underserved population. Am J Ind Med. 2004;46(5):463-471.
Ng MK, Yousuf B, Bigelow PL, Van Eerd D. Effectiveness of health promotion programmes for truck drivers: a systematic review. Health Educ J. 2015;74(3):270-286.
Olson R, Anger WK, Elliot DL, Wipfli B, Gray M. A new health promotion model for lone workers: results of the safety & health involvement for truckers (SHIFT) pilot study. J Occup Environ Med. 2009;51(11):1233-1246.
Puhkala J, Kukkonen-Harjula K, Mansikkamäki K, et al. Lifestyle counseling to reduce body weight and cardiometabolic risk factors among truck and bus drivers-a randomized controlled trial. Scand J Work Environ Health. 2015;41(1):54-64.
Sikaris K. The correlation of hemoglobin A1c to blood glucose. J Diabetes Sci Technol. 2009;3:429-438.
Li P, Jiang R, Li L, et al. Usefulness of hemoglobin A1c as a criterion to define metabolic syndrome in nondiabetic Chinese adolescents. J Investig Med. 2013;61(3):586-592.