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1.
Occup Med (Lond) ; 69(8-9): 534-540, 2019 Dec 31.
Article in English | MEDLINE | ID: mdl-31605617

ABSTRACT

BACKGROUND: Paramedics are among the most frequently injured health professionals in Australia. A lack of physical capacity may contribute to injury risk in this occupational population. AIMS: This study sought to describe and compare the physical fitness of male and female paramedics across age groups to ascertain differences in physical capacity. METHODS: A group of regional Australian paramedics (n = 140; 78 males; mean ± SD 37.4 ± 9.9 years; body mass index 28.1 ± 4.9 kg/m2) underwent a fitness assessment. Measures included upper, lower and core-body muscular strength and flexibility. Outcomes were compared between genders and across age groups using two-way between-groups analysis of variance. RESULTS: Male paramedics had greater upper body strength (P < 0.05; push-ups) mean (95% CI): 22.6 (19.4-25.9) versus 18.7 (15.2-22.3); similar lower body strength (single-leg wall squat): 39.0 (32.6-45.3) s versus 36.7 (27.1-46.3) s; greater core strength (P < 0.05; prone plank hold): 87.9 (77.6-98.3) s versus 73.8 (63.7-83.8) s; similar upper body flexibility (back scratch): -4.0 (-6.7 to -1.3) cm versus -0.3 (-2.2 to 1.7) cm; and similar lower body flexibility (sit and reach): 20.4 (18.2-22.6) cm versus 26.1 (23.5-28.7) cm to female paramedics. Core, upper and lower body strength all decreased with age (P < 0.05). CONCLUSIONS: Core, upper and lower body strength and upper body flexibility were poorer for older compared to younger regional paramedics in New South Wales, Australia. Future research should investigate whether these outcomes are associated with occupational injury risk. This information would assist in the design of injury prevention interventions for paramedics such as tailored workplace exercise programs.


Subject(s)
Allied Health Personnel , Muscle Strength/physiology , Physical Fitness/physiology , Adult , Age Factors , Ambulances , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Muscle, Skeletal/physiology , New South Wales , Range of Motion, Articular/physiology , Sex Factors
2.
Public Health ; 161: 127-137, 2018 Aug.
Article in English | MEDLINE | ID: mdl-29195682

ABSTRACT

OBJECTIVES: The frequency and intensity of extreme heat events are increasing in New York State (NYS) and have been linked with increased heat-related morbidity and mortality. But these effects are not uniform across the state and can vary across large regions due to regional sociodemographic and environmental factors which impact an individual's response or adaptive capacity to heat and in turn contribute to vulnerability among certain populations. We developed a heat vulnerability index (HVI) to identify heat-vulnerable populations and regions in NYS. STUDY DESIGN: Census tract level environmental and sociodemographic heat-vulnerability variables were used to develop the HVI to identify heat-vulnerable populations and areas. METHODS: Variables were identified from a comprehensive literature review and climate-health research in NYS. We obtained data from 2010 US Census Bureau and 2011 National Land Cover Database. We used principal component analysis to reduce correlated variables to fewer uncorrelated components, and then calculated the cumulative HVI for each census tract by summing up the scores across the components. The HVI was then mapped across NYS (excluding New York City) to display spatial vulnerability. The prevalence rates of heat stress were compared across HVI score categories. RESULTS: Thirteen variables were reduced to four meaningful components representing 1) social/language vulnerability; 2) socioeconomic vulnerability; 3) environmental/urban vulnerability; and 4) elderly/ social isolation. Vulnerability to heat varied spatially in NYS with the HVI showing that metropolitan areas were most vulnerable, with language barriers and socioeconomic disadvantage contributing to the most vulnerability. Reliability of the HVI was supported by preliminary results where higher rates of heat stress were collocated in the regions with the highest HVI. CONCLUSIONS: The NYS HVI showed spatial variability in heat vulnerability across the state. Mapping the HVI allows quick identification of regions in NYS that could benefit from targeted interventions. The HVI will be used as a planning tool to help allocate appropriate adaptation measures like cooling centers and issue heat alerts to mitigate effects of heat in vulnerable areas.


Subject(s)
Heat Stress Disorders/epidemiology , Hot Temperature/adverse effects , Surveys and Questionnaires , Vulnerable Populations , Humans , New York/epidemiology , Reproducibility of Results , Risk Factors , Socioeconomic Factors
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