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Ruettger KB, Stamp E, King JA, Clemes SA. Exploration of Barriers and Facilitators to Healthy Eating in UK Truck Drivers. Saf Health Work 2025; 16:75-82. [PMID: 40176937 PMCID: PMC11959560 DOI: 10.1016/j.shaw.2024.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 11/27/2024] [Accepted: 12/01/2024] [Indexed: 04/05/2025] Open
Abstract
Background The working environment of truck drivers promotes unhealthy lifestyle behaviours including physical inactivity and poor dietary choices. This leads to high levels of chronic diseases and a reduced life expectancy compared to other occupational groups. However, little is known about how drivers in the UK perceive their working environment and how this affects their food choices. This study aimed to gain a better understanding of long-haul (8-10-hour shifts) truck drivers' needs regarding healthy food choices whilst on the road to better inform future health promotion programmes and policy needs. Methods Individual semi-structured interviews were conducted, allowing an in-depth exploration of truck drivers' experiences. The interview guide was grounded within the COM-B model and theoretical domains framework. Audio recordings were anonymised and transcribed verbatim and data analysed using thematic analysis. Results Ten drivers (8 male) were interviewed with a mean age of 49 years (SD 9.7). Frequently mentioned barriers to healthy eating were limited availability of affordable healthy food options at truck stops, food storage limitations, and limited time for food preparation. Commonly reported facilitators to improve drivers' diet were flexible break times, shorter shifts, secure parking places and/or better-equipped vehicles. Conclusions Limited availability of healthy food options, high costs, poor facilities within rest areas, long working hours/shifts, and lack of food storage and preparation time, negatively impacts UK truck drivers' eating behaviours. This study highlights that multi-component interventions targeting the individual, environment and policy, are ultimately needed to improve truck drivers' working conditions and health.
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Affiliation(s)
- Katharina B. Ruettger
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Elizabeth Stamp
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - James A. King
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, United Kingdom
| | - Stacy A. Clemes
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, United Kingdom
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Chappel SE, Rasmussen CL, Vandelanotte C, Chapman J, Holtermann A, Naweed A, Straker L. Sitting, Standing, and Physical Activity in Australian Passenger Rail Drivers: On the Right Track for Better Health? J Phys Act Health 2024; 21:1188-1196. [PMID: 39374921 DOI: 10.1123/jpah.2024-0309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/24/2024] [Accepted: 08/06/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Poor health in passenger rail drivers, resulting from perceived highly sedentary work and leisure time, has implications for public safety. To date, no studies have described the physical behaviors of passenger rail drivers. This study aimed to characterize the physical behaviors of passenger rail drivers by investigating the volume, pattern, variation, and composition of behaviors at and outside of work. METHODS A convenience sample of 31 rail drivers (77% male, median age 51.0 [12.5] y) in South Australia wore an activity monitor on their right thigh for 8 days and completed a work logbook. Physical behaviors (sitting, standing, light-intensity physical activity, moderate- to vigorous-intensity physical activity [MVPA], and steps) were recorded for workdays and nonworkdays, and work and nonwork time on workdays. The volume, bouts, between-participants variation, and 3-way composition were compared across the 4 time periods. RESULTS Drivers sat for 10.6 (1.5) hours, did 76.3 (38.8) minutes of MVPA, and took 9727.3 (4088.4) steps daily. At work, drivers were sitting 369.3 (41.8) minutes (187.1 [54.2] min in prolonged bouts) and doing MVPA 31.7 (10.0) minutes. Between-participants variation in sitting time during work (11%) was lower than both nonwork on a workday (19%) and on a nonworkday (24%; P < .001). Compositions at work differed from nonwork on workdays (F = 27.7, P < .001), as did compositions on workdays compared with nonworkdays (F = 6.8, P = .002). CONCLUSIONS Passenger rail drivers were highly sedentary, but also surprisingly active. At work, drivers were more sedentary and had lower variation in behaviors, suggesting work constraints play an important role. Therefore, work may be the most appropriate domain to intervene for promoting healthy physical behavior profiles among these passenger rail drivers.
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Affiliation(s)
| | | | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
| | - Janine Chapman
- Appleton Institute, Central Queensland University, Adelaide, SA, Australia
| | - Andreas Holtermann
- National Research Center for the Working Environment, Copenhagen, Denmark
| | - Anjum Naweed
- Appleton Institute, Central Queensland University, Adelaide, SA, Australia
| | - Leon Straker
- School of Allied Health, Curtin University, Perth, WA, Australia
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Younis J, Jiang H, Fan Y, Wang L, Li Z, Jebril M, Ma M, Ma L, Ma M, Hui Z. Prevalence of overweight, obesity, and associated factors among healthcare workers in the Gaza Strip, Palestine: A cross-sectional study. Front Public Health 2023; 11:1129797. [PMID: 36908479 PMCID: PMC9998069 DOI: 10.3389/fpubh.2023.1129797] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 02/01/2023] [Indexed: 02/25/2023] Open
Abstract
Background Overweight and obesity are multifactorial conditions that are prevalent in developing and developed countries. They are emerging as a significant public health concern among healthcare workers (HCWs). We aimed to estimate the prevalence of overweight and obesity and their associated factors among HCWs in the Gaza Strip. Methods A cross-sectional study was conducted to recruit 1,850 HCWs aged 22 years and older. Interviews were carried out to collect sociodemographic information, nutritional information, and physical activity. Anthropometric measurements [height, weight, and waist circumference] were conducted with the HCWs. The body mass index was computed to determine the prevalence of overweight and obesity. Chi-square, t-test, and one-way ANOVA were used to compare the variables, and logistic regression was used to examine the associated factors of overweight and obesity. Results The combined prevalence of overweight and obesity among HCWs was 65%. The result of logistic regression showed the risk of being overweight and obesity increased within the age group of 40-49 years (OR = 3.20; 95% CI: 2.37-4.32; P < 0.001). Male participants had more risk of obesity than female participants (OR = 1.77; 95% CI: 1.45-2.15). Married participants had a significantly higher risk of being overweight and obese (OR = 2.52; 95% CI: 2.05-3.28; P = 0.001). Increased monthly income was significantly associated with the risk of being overweight and obese (OR = 2.16; 95% CI: 1.22-3.83; P = 0.008). In addition, hypertension (OR = 2.49; 95% CI: 1.65-3.78; P < 0.001) and type 2 diabetes (OR = 2.42; 95% CI: 1.21-4.85; P= 0.012) were associated with overweight and obesity. Finally, a family history of NCDs was associated with overweight and obesity (OR = 1.69; 95% CI: 1.38-2.07; P < 0.001). Conclusion This study showed a high prevalence of overweight and obesity among HCWs. Age, monthly income, marital status, known hypertension, type 2 diabetes, and eating habits were associated with the prevalence of overweight and obesity compared to other variables that were not associated with overweight and obesity such as profession, vegetables, fruit consumption, and physical activity. Urgent action is needed to tackle overweight and obesity among HCWs.
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Affiliation(s)
- Joma Younis
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.,Al-Rantisi Pediatric Specialized Hospital, Ministry of Health, Gaza, Palestine
| | - Hong Jiang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Yahui Fan
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Lina Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Zhaofang Li
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Majed Jebril
- Al-Rantisi Pediatric Specialized Hospital, Ministry of Health, Gaza, Palestine
| | - Mei Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Le Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Mao Ma
- The First Affiliated Hospital, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Zhaozhao Hui
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
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Ruettger K, Clemes SA, Chen YL, Edwardson CL, Guest A, Gilson ND, Gray LJ, Johnson V, Paine NJ, Sherry AP, Sayyah M, Troughton J, Varela-Mato V, Yates T, King JA. Drivers with and without Obesity Respond Differently to a Multi-Component Health Intervention in Heavy Goods Vehicle Drivers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15546. [PMID: 36497618 PMCID: PMC9739045 DOI: 10.3390/ijerph192315546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 06/17/2023]
Abstract
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.
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Affiliation(s)
- Katharina Ruettger
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Stacy A. Clemes
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
| | - Yu-Ling Chen
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Charlotte L. Edwardson
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Amber Guest
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Nicholas D. Gilson
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane 4072, Australia
| | - Laura J. Gray
- Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
| | - Vicki Johnson
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Nicola J. Paine
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
| | - Aron P. Sherry
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
| | - Mohsen Sayyah
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Jacqui Troughton
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Veronica Varela-Mato
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
| | - Thomas Yates
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - James A. King
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
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