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1.
Public Health ; 161: 127-137, 2018 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-29195682

RESUMO

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.


Assuntos
Transtornos de Estresse por Calor/epidemiologia , Temperatura Alta/efeitos adversos , Inquéritos e Questionários , Populações Vulneráveis , Humanos , New York/epidemiologia , Reprodutibilidade dos Testes , Fatores de Risco , Fatores Socioeconômicos
2.
J Agric Saf Health ; 9(2): 143-57, 2003 May.
Artigo em Inglês | MEDLINE | ID: mdl-12827860

RESUMO

Data from the telephone interview portion of the New York State Farm Family Health and Hazard Surveillance Project were used to study the prevalence and predictors of joint pain in a cohort of farmers and farm residents. The participants were owner/operators, workers, and residents from a representative sample of farms from 12 New York counties. A total of 1706 participants completed a telephone interview on musculoskeletal conditions. Joint trouble was defined as self-reported aches, pain, or discomfort in the past year in each of five different joint areas. The 12-month prevalence of joint trouble was: lower back 41%, neck/shoulders 35%, knees 29%, hands/wrists 28%, and hips 15%. Using logistic regression modeling, significant risk factors for joint trouble were identified (p < 0.05). Older age and being female increased the risk of aches, pain, or discomfort in most joints. Being the owner/operator increased the risk of neck/shoulder and lower back trouble, and being a worker increased the risk of neck/shoulder trouble. Doing tractor work was associated with trouble in all five joint areas, and milking was associated with knee trouble. These findings indicate that personal risk factors and the intensity and nature of the farm work contribute to joint trouble. Ergonomic improvements to tractors and milking facilities should be a high priority.


Assuntos
Doenças dos Trabalhadores Agrícolas/epidemiologia , Artropatias/epidemiologia , Doenças Musculoesqueléticas/epidemiologia , Dor/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Doenças dos Trabalhadores Agrícolas/etiologia , Estudos de Coortes , Feminino , Humanos , Entrevistas como Assunto , Artropatias/etiologia , Masculino , Pessoa de Meia-Idade , Doenças Musculoesqueléticas/etiologia , New York/epidemiologia , Dor/etiologia , Prevalência , Fatores de Risco , Gestão da Segurança , Autorrevelação
3.
Am J Ind Med ; 38(1): 71-81, 2000 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-10861768

RESUMO

BACKGROUND: This study was conducted to assess the health status and safety practices among year-round adult farm workers and residents and included a telephone interview survey of 1,727 persons from 552 farms. METHODS: Logistic regression was used to analyze four safety questions. RESULTS: Among 541 farm owner/operators significant predictors of making substitutions in the use of chemicals and major changes to equipment include younger age, more persons assisting on the farm, and higher gross sales. Having training is associated with having more than a high school education. Among all participants the perception that personal protective equipment are useful is associated with being younger, male, an owner/operator or worker, and having at least a high school education. CONCLUSIONS: These findings suggest that older and less educated farmers should be targeted for health and safety programs.


Assuntos
Agricultura/estatística & dados numéricos , Conhecimentos, Atitudes e Prática em Saúde , Doenças Profissionais/epidemiologia , Exposição Ocupacional , Adulto , Idoso , Estudos de Coortes , Feminino , Humanos , Incidência , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , New York/epidemiologia , Doenças Profissionais/prevenção & controle , Exposição Ocupacional/efeitos adversos , Saúde Ocupacional , Vigilância da População , Medição de Risco , Fatores de Risco , Inquéritos e Questionários , Taxa de Sobrevida
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