ORIGINAL ARTICLE

Evaluarea importanţei examinărilor medicale şi a indicilor nutriţionali la conducătorii auto profesionişti din România

 Significance of medical examinations and nutritional indices in Romanian professional drivers

First published: 28 iunie 2024

Editorial Group: MEDICHUB MEDIA

DOI: 10.26416/JourNutri.2.2.2024.9765

Abstract

Eating behavior, exposure to unsystematized work hours, reduced physical activity, prolonged stress, work shifts, traffic pollutants, uncomfortable positions, noise or vibrations are the main risk factors that lead to disorders in the health of professional drivers. In ad­di­tion to these elements, we can add psychological cha­rac­te­ris­tics, such as emotional eating, related to the lack of so­cial contacts, family contacts, boredom, routine and fa­tigue, the need for compensation, or the coverage of immediate needs. The objective of this research is to draw attention to the possibility of screening the nu­tri­tio­nal and health status of a representative group of pro­fes­sio­nal drivers from Mureş County, Romania, by interpreting the me­di­cal data of the annual assessment about lifestyle and diet, with the aim of preventing the occurrence of chro­nic diseases. The study correlates medical data ob­­tained from 402 subjects (96.03% males) enrolled for pe­rio­dic annual medical and psychological assessments with the interpretation of lifestyle and psychological pro­file, and the results indicate a high frequency of high to­tal serum cholesterol (in 57.32% of them), a moderate cor­re­la­tion between the glycemic level and the age of the patients (r=0.46), respectively a share of 19.10% with high fasting glycemia. Following this periodic screening, we can con­clude that there is a tendency of increased athe­ro­scle­­ro­tic risk parameters above normal values, as well as in­creased blood sugar, with age, in professional drivers whose health is multifactorially affected, and this is why we consider psycho-medical intervention, awareness and the involvement of specialists in multidisciplinary teams as preventive necessary measures.
 

Keywords
professional drivers, blood sugar, cholesterol, nutrition

Rezumat

Comportamentul alimentar, programul de muncă ne­sis­te­ma­ti­zat, activitatea fizică redusă, stresul prelungit, tu­re­le de muncă, po­luan­ţii din trafic, posturile incomode, zgo­mo­tul sau vibraţiile sunt factori de risc ce pot afecta sănătatea conducătorilor auto profesionişti. Pe lângă aces­te elemente, putem adăuga caracteristicile psihologice, cum ar fi mâncatul emoţional, legat de lipsa contactelor so­cia­le, de lipsa contactului familial, de plictiseală, de ru­ti­nă şi de oboseală, de necesitatea compensării sau de aco­pe­ri­rea unor nevoi imediate. Obiectivul acestei lucrări este de a atrage atenţia asupra posibilităţii de screening al stării nutriţionale şi de sănătate în cazul unui grup re­pre­zen­ta­tiv de şoferi profesionişti din judeţul Mureş, prin interpretarea datelor medicale de evaluare anuală în relaţie cu stilul de viaţă şi cu dieta, în scopul prevenirii apa­ri­ţiei bolilor cronice. Studiul corelează datele medicale ob­ţi­nute de la 402 subiecţi (dintre care 96,03% de genul mas­cu­lin) înscrişi pentru evaluarea periodică anuală me­di­ca­lă, cu interpretarea stilului de viaţă şi a profilului de risc individual, iar rezultatele indică o frecvenţă ridicată a nivelului mare de colesterol seric total (la 57,32% dintre ei) şi o corelaţie moderată între nivelul glicemic şi vârsta pa­cien­ţi­lor (r=0,46), cu o pondere de 19,10% din totalul de 402 cu glicemie ridicată à jeun. În urma acestui screening pe­rio­dic, putem concluziona că există o tendinţă de creştere a parametrilor de risc aterosclerotic peste valorile normale, pre­cum şi a glicemiei, odată cu vârsta, la conducătorii auto pro­fe­sio­nişti a căror sănătate este afectată multifactorial şi, de aceea, considerăm necesară intervenţia psihomedicală, con­ştien­ti­za­rea şi implicarea specialiştilor în echipe mul­ti­dis­ci­pli­na­re ca măsuri de prevenţie.
 

Bibliografie

  1. Guiné RPF, Bartkiene E, Szűcs V, Tarcea M, Ljubičić M, Černelič-Bizjak M, Isoldi K, El-Kenawy A, Ferreira V, Straumite E, Korzeniowska M, Vittadini E, Leal M, Frez-Muñoz L, Papageorgiou M, Djekić I, Ferreira M, Correia P, Cardoso AP, Duarte J. Study about Food Choice Determinants According to Six Types of Conditioning Motivations in a Sample of 11,960 Participants. Foods. 2020 Jul 7;9(7):888. doi: 10.3390/foods9070888.

  2. Mâlcomete P. Marketing. Editura Academică „Gheorghe Zane”. Iaşi, 1993.

  3. Ordinul comun al ministrului transporturilor şi infrastructurii şi al ministrului sănătăţii nr. 1.151/1.752/2021 pentru aprobarea cadrului general privind examinarea medicală şi psihologică a personalului cu atribuţii în siguranţa transporturilor. Accesat: 01.05.2024. https://www.mt.ro/web14/domenii-gestionate/medical/medical-reglementari.

  4. Jang RW, Man-Son-Hing M, Molnar FJ, Hogan DB, Marshall SC, Auger J, Graham ID, Korner-Bitensky N, Tomlinson G, Kowgier ME, Naglie G. Family physicians’ attitudes and practices regarding assessments of medical fitness to drive in older persons. J Gen Intern Med. 2007 Apr;22(4):531-43. doi: 10.1007/s11606-006-0043-x. 

  5. Charlton J, Koppel S, Odell M, et al. Influence of chronic illness on crash involvement of motor vehicle occupants. 2010;2:104-174. Report No. 300, Melbourne. Australia: Monash University Research Center; 2010.

  6. Berg-Weger M, Meuser TM, Stowe J. Addressing individual differences in mobility transition counseling with older adults. J Gerontol Soc Work. 2013;56(3):201-18. doi: 10.1080/01634372.2013.764374.

  7. Decese în accidente rutiere Eurostat – Statistici pe tip de vehicul. 2021. Accesat 2024. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Road_accident_fatalities_-_statistics_by_type_of_vehicle.

  8. Dischinger PC, Ho SM, Kufera JA. Medical conditions and car crashes. Annu Proc Assoc Adv Automot Med. 2000;44:335-46. https://www.researchgate.net/publication/373414748_Estimating_Driver_Personality_Traits_from_On_Road_Driving_Data. 

  9. Collins DR, Tompson AC, Onakpoya IJ, Roberts N, Ward AM, Heneghan CJ. Global cardiovascular risk assessment in the primary prevention of cardiovascular disease in adults: systematic review of systematic reviews. BMJ Open. 2017 Mar 24;7(3):e013650. doi: 10.1136/bmjopen-2016-013650.

  10. Krzowski B, Płatek AE, Szymański FM, Ryś A, Semczuk-Kaczmarek K, Adamkiewicz K, Kotkowski M, Filipiak KJ. Epidemiology of dyslipidaemia in professional drivers: results of RACER-ABPM (Risk of Adverse Cardiovascular Events among professional dRivers in Poland - Ambulatory Blood Pressure Monitoring) study. Kardiol Pol. 2018;76(2):396-400. doi: 10.5603/KP.a2017.0229.

  11. Chuang CS, Yang TY, Muo CH, Su HL, Sung FC, Kao CH. Hyperlipidemia, statin use and the risk of developing depression: a nationwide retrospective cohort study. Gen Hosp Psychiatry. 2014 Sep-Oct;36(5):497-501. doi: 10.1016/j.genhosppsych.2014.05.008.

  12. Rowley WR, Bezold C, Arikan Y, Byrne E, Krohe S. Diabetes 2030: Insights from Yesterday, Today, and Future Trends. Popul Health Manag. 2017 Feb;20(1):6-12. doi: 10.1089/pop.2015.0181.

  13. Chen S, Zhang Q, Dai G, Hu J, Zhu C, Su L, Wu X. Association of depression with pre-diabetes, undiagnosed diabetes, and previously diagnosed diabetes: a meta-analysis. Endocrine. 2016 Jul;53(1):35-46. doi: 10.1007/s12020-016-0869-x. 

  14. Sabanayagam C, Shankar A, Li J, Pollard C, Ducatman A. Serum gamma-glutamyl transferase level and diabetes mellitus among US adults. Eur J Epidemiol. 2009;24(7):369-73. doi: 10.1007/s10654-009-9346-7. 

  15. Cardiero G, Ferrandino M, Calcaterra IL, Iannuzzo G, Di Minno MND, Buganza R, Guardamagna O, Auricchio R, Di Taranto MD, Fortunato G. Impact of 12-SNP and 6-SNP Polygenic Scores on Predisposition to High LDL-Cholesterol Levels in Patients with Familial Hypercholesterolemia. Genes (Basel). 2024 Apr 6;15(4):462. doi: 10.3390/genes15040462.

  16. Li ZZ, Wang QH, Liu Y, Wang L, Yu ZQ, Huang Q, Zhang J. Gas Chromatography and Flame-Ionization Detection of Non-Cholesterol Sterols as Indicators of Cholesterol Absorption and Synthesis in 158 Chinese Individuals with Normolipidemia, Hyperlipidemia, and Familial Hypercholesterolemia. Med Sci Monit. 2022 Feb 13;28:e934471. doi: 10.12659/MSM.934471. 

  17. Salomaa V, Havulinna A, Saarela O, Zeller T, Jousilahti P, Jula A, Muenzel T, Aromaa A, Evans A, Kuulasmaa K, Blankenberg S. Thirty-one novel biomarkers as predictors for clinically incident diabetes. PLoS One. 2010 Apr 9;5(4):e10100. doi: 10.1371/journal.pone.0010100.

  18. Iser BPM, Pinheiro PC, Malta DC, Duncan BB, Schmidt MI. Prediabetes and intermediate hyperglycemia prevalence in adults and associated factors, Health National Survey. Cien Saude Colet. 2021 Feb;26(2):531-540. Portuguese, English. doi: 10.1590/1413-81232021262.34852020.