6 research outputs found

    The influence of psychosocial factors at work and life style on health and work ability among professional workers

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    OBJECTIVES: The purpose of this article is to explore the associations of psychosocial factors at work, life style, and stressful life events on health and work ability among white-collar workers. METHODS: A cross-sectional survey was conducted among workers in commercial services (n = 1141). The main outcome variables were work ability, measured by the work ability index (WAI), and mental and physical health, measured by the Short-Form Health Survey (SF-12). Individual characteristics, psychosocial factors at work, stressful life events, and lifestyle factors were determined by a questionnaire. Maximum oxygen uptake, weight, height, and biceps strength were measured during a physical examination. RESULTS: Work ability of white-collar workers in commercial services industry was strongly associated with psychosocial factors at work such as teamwork, stress handling, and self-development and, to a lesser extent, with stressful life events, lack of physical activity, and obesity. Determinants of mental health were very similar to those of work ability, whereas physical health was influenced primarily by life style factors. With respect to work ability, the influence of unhealthy life style seems more important for older workers, than for their younger colleagues. CONCLUSION: Among white-collar workers mental and physical health were of equal importance to work ability, but only mental health and work ability shared the same determinants. The strong associations between psychosocial factors at work and mental health and work ability suggest that in this study population health promotion should address working conditions rather than individual life style factors

    Fatores associados à capacidade para o trabalho de trabalhadores do Setor Elétrico Factors associated with labor capacity in electric industry workers

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    O Setor Elétrico passou por recente processo de reestruturação produtiva com reflexos nas condições e organização do trabalho, podendo comprometer a capacidade para o trabalho. Este estudo objetivou avaliar fatores associados à capacidade para o trabalho junto a 475 trabalhadores de uma empresa do Setor Elétrico no Estado de São Paulo, Brasil. Neste estudo transversal foi realizada análise descritiva e análise de regressão linear múltipla. A média do Índice de Capacidade para o Trabalho (ICT) foi de 41,8 pontos (escala de 7,0 a 49,0 pontos). A análise múltipla mostrou que os fatores que melhor explicaram a variabilidade do ICT foram estresse no trabalho (p < 0,001) e saúde física (p < 0,001 em todas as dimensões). Em outra análise, excluídas as dimensões da saúde, as variáveis associadas ao ICT foram estresse no trabalho (p < 0,001), local de trabalho (p = 0,022), prática de atividade física (p = 0,001), consumo de álcool (p = 0,012) e índice de massa corporal (p < 0,001). Os resultados identificaram aspectos a serem considerados no desenvolvimento de medidas visando a preservação da capacidade para o trabalho, com ênfase no controle do estresse no trabalho e na promoção da saúde.<br>The Brazilian electric utility sector has recently undergone major industrial restructuring, with impacts on working conditions and work organization that could jeopardize the capacity for work. This study aimed to evaluate factors associated with labor capacity in a sample of 475 workers from an electric utility company in the State of São Paulo, Brazil. This cross-sectional study included descriptive and multiple linear regression analyses. The mean labor capacity index (LCI) was 41.8 points (on a scale from 7.0 to 49.0). Multiple regression showed that the factors that best explained LCI variability were work stress (p < 0.001) and physical health (p < 0.001 in all the dimensions). In a separate analysis, excluding all the health dimensions, the variables associated with LCI were work stress (p < 0.001), workplace (p = 0.022), physical activity (p = 0.001), alcohol consumption (p = 0.012), and body mass index (p < 0.001). The results highlighted aspects to be considered when developing measures to protect labor capacity, with an emphasis on stress prevention and health promotion
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