Work-, lifestyle-, and health-related factors among women and men working in the emergency medical services.
Anna M JohnsenPetra WagmanAnders BroströmEleonor I FranssonPublished in: International journal of occupational safety and ergonomics : JOSE (2024)
Objectives . This study aimed to describe work-, lifestyle-, and health-related factors among ambulance personnel, and to analyse differences between women and men. Methods . The cross-sectional study ( N = 106) included self-reported and objective measures of work, lifestyle, and health in 10 Swedish ambulance stations. The data collection comprised clinical health examination, blood samples, tests of physical capacity, and questionnaires. Results. A high proportion of the ambulance personnel reported heavy lifting, risk of accidents, threats and violence at work. A low level of smoking and alcohol use, and a high level of leisure-time physical activity were reported. The ambulance personnel had, on average, good self-rated health, high work ability and high physical capacity. However, the results also showed high proportions with risk factors for cardiovascular disease (CVD), e.g., high blood pressure, and high levels of blood lipids. More women than men reported high work demands. Furthermore, women performed better in tests of physical capacity and had a lower level of CVD risk factors. Conclusions. Exposure to work-related factors that might affect health was common among ambulance personnel. Lifestyle- and health-related factors were somewhat contradictory, with a low proportion reporting lifestyle-related risk factors, but a high proportion having risk factors for CVD.
Keyphrases
- physical activity
- mental health
- healthcare
- public health
- cardiovascular disease
- risk factors
- health information
- blood pressure
- metabolic syndrome
- emergency medical
- polycystic ovary syndrome
- type diabetes
- health promotion
- primary care
- body mass index
- emergency department
- pregnancy outcomes
- machine learning
- adipose tissue
- skeletal muscle
- climate change
- big data
- social media
- risk assessment
- heart rate
- smoking cessation
- adverse drug
- artificial intelligence