Postural sway, working years and BMI in healthy truck drivers: an observational study

Allgemeine und arbeitsplatzbezogene Risikofaktoren von Muskel-Skelett-Erkrankungen und deren Bestimmungsmethoden

Muskuloskelettale Erkrankungen sind weltweit die häufigste Ursache für Schmerzen und Beeinträchtigungen der körperlichen Leistungsfähigkeit und werden häufig mit reduzierter Lebensqualität sowie einer negativen Wirkung auf das subjektive Wohlbefinden assoziiert. Verschiedene Risikofaktoren können dabei für die Entstehung von Muskel-Skelett-Erkrankungen im betrieblichen Umfeld verantwortlich sein. So können biomechanische Belastungen durch körperliche Anforderungen, die Einwirkung physikalischer, Veränderungen in der Arbeitsorganisation oder psychosoziale Faktoren ursächlich sein. Im deutschsprachigen Raum wird die revidierte Arbeitsmedizinische Regel 13.2 als wesentlicher Maßstab zur Beurteilung arbeitsplatzbezogener Risiken körperlicher Belastung angeführt. Für die Gefährdungsbeurteilung physischer Belastungen wurden im multizentrischen MEGAPHYS-Projekt (mehrstufige Gefährdungsanalyse physischer Belastungen am Arbeitsplatz) neue Maßstäbe von der Deutschen Gesetzlichen Unfallversicherung (DGUV) und Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA) gesetzt. Diese werden hier vorgestellt und mit weiteren Verfahren zur Gefährdungsbeurteilung aus dem internationalen Raum verglichen. Im Zuge der arbeitsmedizinischen Beurteilung obliegt die Auswahl der Methode dem Anwender, das ausgewählte Verfahren sollte den jeweiligen Arbeitsplatz und dessen Charakteristika bestmöglich erfassen und einstufen. In diesem Artikel werden gängige Methoden vorgestellt, um arbeitsbezogene Risikofaktoren für Muskel-Skelett-Erkrankungen zu identifizieren.

Drivers with and without Obesity Respond Differently to a Multi-Component Health Intervention in Heavy Goods Vehicle Drivers

Physical inactivity and obesity are widely prevalent in Heavy Goods Vehicle (HGV) drivers. We analysed whether obesity classification influenced the effectiveness of a bespoke structured lifestyle intervention ('SHIFT') for HGV drivers. The SHIFT programme was evaluated within a cluster randomised controlled trial, across 25 transport depots in the UK. After baseline assessments, participants within intervention sites received a 6-month multi-component health behaviour change intervention. Intervention responses (verses control) were stratified by obesity status (BMI < 30 kg/m², n = 131; BMI ≥ 30 kg/m², n = 113) and compared using generalised estimating equations. At 6-months, favourable differences were found in daily steps (adjusted mean difference 1827 steps/day, p < 0.001) and sedentary time (adjusted mean difference -57 min/day, p < 0.001) in drivers with obesity undertaking the intervention, relative to controls with obesity. Similarly, in drivers with obesity, the intervention reduced body weight (adjusted mean difference -2.37 kg, p = 0.002) and led to other favourable anthropometric outcomes, verses controls with obesity. Intervention effects were absent for drivers without obesity, and for all drivers at 16-18-months follow-up. Obesity classification influenced HGV drivers' behavioural responses to a multi-component health-behaviour change intervention. Therefore, the most at-risk commercial drivers appear receptive to a health promotion programme.

Standard reference values of weight and maximum pressure distribution in healthy adults aged 18-65 years in Germany

Background

The aim of this study was to collect standard reference values of the weight and the maximum pressure distribution in healthy adults aged 18–65 years and to investigate the influence of constitutional parameters on it.

Methods

A total of 416 healthy subjects (208 male / 208 female) aged between 18 and 65 years (Ø 38.3 ± 14.1 years) participated in this study, conducted 2015–2019 in Heidelberg. The age-specific evaluation is based on 4 age groups (G1, 18–30 years; G2, 31–40 years; G3, 41–50 years; G4, 51–65 years). A pressure measuring plate FDM-S (Zebris/Isny/Germany) was used to collect body weight distribution and maximum pressure distribution of the right and left foot and left and right forefoot/rearfoot, respectively.

Results

Body weight distribution of the left (50.07%) and right (50.12%) foot was balanced. There was higher load on the rearfoot (left 54.14%; right 55.09%) than on the forefoot (left 45.49%; right 44.26%). The pressure in the rearfoot was higher than in the forefoot (rearfoot left 9.60 N/cm², rearfoot right 9.51 N/cm²/forefoot left 8.23 N/cm², forefoot right 8.59 N/cm²). With increasing age, the load in the left foot shifted from the rearfoot to the forefoot as well as the maximum pressure (p ≤ 0.02 and 0.03; poor effect size). With increasing BMI, the body weight shifted to the left and right rearfoot (p ≤ 0.001, poor effect size). As BMI increased, so did the maximum pressure in all areas (p ≤ 0.001 and 0.03, weak to moderate effect size). There were significant differences in weight and maximum pressure distribution in the forefoot and rearfoot in the different age groups, especially between younger (18–40 years) and older (41–65 years) subjects.

Discussion

Healthy individuals aged from 18 to 65 years were found to have a balanced weight distribution in an aspect ratio, with a 20% greater load of the rearfoot. Age and BMI were found to be influencing factors of the weight and maximum pressure distribution, especially between younger and elder subjects. The collected standard reference values allow comparisons with other studies and can serve as a guideline in clinical practice and scientific studies.

Cardiometabolic risk factors and mental health status among truck drivers: a systematic review

OBJECTIVE

This study aimed to systematically review and summarise the literature on cardiometabolic risk factors, lifestyle health behaviours and mental health status of truck drivers globally to ascertain the scale of these health concerns.

DESIGN

Systematic review reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

PubMed, Scopus, PsycINFO and Web of Science were searched in January 2019 and updated in January 2020, from the date of inception to 16 January 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Papers were included if they (1) reported independent data on truck drivers, (2) included quantitative data on outcomes related to cardiometabolic markers of health, mental health and/or health behaviours, (3) were written in English and (4) were published in a peer-reviewed journal. Grey literature was ineligible for this review.

DATA EXTRACTION AND SYNTHESIS

One reviewer independently extracted data and assessed methodological quality using a checklist based on the National Heart, Lung and Blood Institute Quality Assessment tool. 20% were independently assessed for eligibility and quality by a second reviewer. Due to heterogeneity of the outcomes, results were narratively presented.

RESULTS

3601 titles and abstracts were screened. Seventy-three studies met the inclusion criteria. Truck driving is associated with enforced sedentarism, long and irregular working hours, lack of healthy foods, social isolation and chronic time pressures. Strong evidence was observed for truck drivers to generally exhibit poor cardiometabolic risk profiles including overweight and obesity, hypertension, hypercholesterolaemia, high blood glucose, poor mental health and cigarette smoking.

CONCLUSIONS

Improving truck driver health is vital for the longevity of the trucking industry, and for the safety of all road users. The workplace plays a vital role in truck driver health; policies, regulations and procedures are required to address this health crisis.

PROSPERO REGISTRATION NUMBER

CRD42019124499.

The Burden of Overweight and Obesity among Long-Distance Truckers in Ethiopia

BACKGROUND

Abnormal body mass index (BMI ≥ 25 kg/m²) has become a major global public health problem which is rising at a faster rate in urban areas of low- and middle-income countries. In Ethiopia, the prevalence gradually increases. Long-distance truckers are at a high risk of developing overweight or obesity due to the sedentary nature of their job. Despite these populations at a high risk of developing overweight/obesity such as drivers elsewhere, pieces of data that showed the prevalence and contributing factors of overweight and obesity among long-distance truckers in Ethiopia are not yet available.

OBJECTIVE

To assess the prevalence and contributing factors of overweight and obesity among long-distance truckers in Ethiopia.

METHODS

A cross-sectional study was conducted among 400 systematically selected truckers at Modjo dry port in Ethiopia from February to March, 2018. Data were collected through face-to-face interviews using a structured questionnaire. The final results were presented in tables and numerical summary measures such as mean and standard deviation (SD).

RESULTS

Of the 400 truckers interviewed, the prevalence of overweight and obesity was 56.5%, 95% CI (51.6%-61.4%). The study also found that a monthly income ≥220 USD (AOR = 1.83, 95% CI (1.05-3.18)), having 3 or more family sizes (AOR = 2.24, 95% CI (1.15-4.36)), less than 6 hours of sleep at night (AOR = 3.34, 95% CI (1.99-5.78)), driving for 9 or more hours daily (AOR = 2.29, 95% CI (1.09-4.81)), and a truck driving experience of 10 or more years (AOR = 2.13, 95% CI (1.29-4.18)) were significantly associated with overweight and obesity.

CONCLUSION

The prevalence of overweight and obesity was substantially high. The study also found that sociodemographic and occupational factors are mainly associated with overweight and obesity. Therefore, a health education program should be designed for awareness creation on the importance of reducing a sedentary lifestyle, consuming healthy foods or drinks, and having regular physical exercise to mitigate the problem.

Prevalence of musculoskeletal pain among professional drivers: A systematic review

OBJECTIVES

Professional drivers are at high risk of developing musculoskeletal pain (MSP) due to risk factors such as prolonged sitting, whole body vibration, awkward posture, and repetitive actions. This review investigates the reported prevalence of MSP among professional drivers.

METHODS

An electronic search of Medline (1946 + via OvidSP), Embase (1974 + OvidSP), CINAHL (1982+), AMED, PubMed, and Web of Science from 1990 to July 2019 was performed. Methodological quality of studies was assessed using three quality assessment tools for cross-sectional, case-control, and prospective cohort studies. The prevalence of MSP was reported using descriptive analysis.

RESULTS

A total of 56 studies conducted in 23 different countries across a total of 14 types of occupational transport were reviewed. Data of a total pooled population of 18 882 professional drivers were analyzed for MSP. The prevalence of MSP ranged between 43.1% and 93%. The low back was the most frequently reported body region for MSP with a meta-prevalence rate of 53% (N = 9998). Neck, shoulder, and upper back were the other common regions with high prevalence.

CONCLUSION

There is a high prevalence of MSP in professional drivers and low back was the most frequently reported body region, followed by neck, upper back, shoulder, knee, hip/thigh, wrist, ankle, and elbow. MSP is complicated in nature and therefore in-depth exploration of causal relationships between MSP and risk factors is necessary so that appropriate healthcare programs can be initiated to prevent and treat MSP effectively.

Food choice patterns of long-haul truck drivers driving through Germany, a cross sectional study

Background

Long-haul truck drivers are exposed to unfavorable working conditions affecting their health but information on truck drivers travelling through Europe is missing. The study aimed to describe the populations' characteristics and food choice patterns while working compared with eating patterns at home, taking weight status into account.

Methods

A cross-sectional survey using questionnaires in 12 languages conducted at two truck stops in Germany.

Results

Among 404 truck drivers of 24 nationalities, only 24% were normal weight while 46% were considered overweight and 30% obese. In regards to their health, more than half reported that they smoked and 32% reported at least one chronic disease. 37% ate their meals often or always at truck stops, while 6% never did so. The most common food items brought from home were fruits (62%) followed by sausages (50.6%), sandwiches (38.7%), self-cooked meals (37%), sweets (35.4%), and raw vegetables (31%). Bivariate analyses revealed differences in food choices during work and at home with more sausages, energy drinks and soft drinks, and canned foods eaten during trips. Fresh vegetables, legumes and fish were more often chosen at home. Available food appliances in trucks appeared to be associated with food choice patterns. Interestingly, food choice patterns and food preparation did not differ significantly across weight categories.

Conclusions

The working conditions of professional truck drivers make a healthy lifestyle difficult to follow and appear to influence food choices while working. Particular effort should be taken to improve food choice patterns, food preparation and purchasing possibilities during trips.