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1.
  • Griep, Rosane Haerter, et al. (författare)
  • Job strain and unhealthy lifestyle : results from the baseline cohort study, Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)
  • 2015
  • Ingår i: BMC Public Health. - 1471-2458 .- 1471-2458. ; 15
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Unhealthy lifestyle choices, such as smoking and sedentary behavior, are among the main modifiable risk factors for chronic non-communicable diseases. The workplace is regarded as an important site of potential health risks where preventive strategies can be effective. We investigated independent associations among psychosocial job strain, leisure-time physical inactivity, and smoking in public servants in the largest Brazilian adult cohort. Methods: We conducted a cross-sectional analysis of baseline data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)-a multicenter prospective cohort study of civil servants. Our analytical samples comprised 11,779 and 11,963 current workers for, respectively, analyses of job strain and leisure-time physical activity and analyses of job strain and smoking. Job strain was assessed using the Brazilian version of the Swedish Demand-Control-Support Questionnaire; physical activity was evaluated using a short form of the International Physical Activity Questionnaire. We also examined smoking status and number of cigarettes smoked per day. The association reported in this paper was assessed by means of multinomial and logistic regression, stratified by sex. Results: Among men, compared with low-strain activities (low demand and high control), job strain showed an association with physical inactivity (odds ratio [OR] = 1.34; 95% confidence interval [CI] = 1.09-1.64) or with the practice of physical activities of less than recommended duration (OR = 1.44; 95% CI = 1.15-1.82). Among women, greater likelihood of physical inactivity was identified among job-strain and passive-job groups (OR = 1.47; 95% CI = 1.22-1.77 and OR = 1.42; 95% CI = 1.20-1.67, respectively). Greater control at work was a protective factor for physical inactivity among both men and women. Social support at work was a protective factor for physical inactivity among women, as was smoking for both genders. We observed no association between demand or control dimensions and smoking. Conclusions: Job strain, job control, and social support were associated with physical activity. Social support at work was protective of smoking. Our results are comparable to those found in more developed countries; they provide additional evidence of an association between an adverse psychosocial work environment and health-related behaviors.
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2.
  • Harter Griep, R, et al. (författare)
  • Beyond simple approaches to studying the association between work characteristics and absenteeism : Combining the DCS and ERI models
  • 2010
  • Ingår i: Work & Stress. - 0267-8373 .- 1464-5335. ; 24:2, s. 179-195
  • Tidskriftsartikel (refereegranskat)abstract
    • The Demand-Control-Support (DCS) and the Effort-Reward Imbalance (ERI) models assess different psychosocial factors. This study investigates whether a combination of these models increases their ability to predict sickness absence, as compared to results based on each model separately. A cross-sectional study with nursing personnel (N = 1307) in Brazil was performed. Regression analyses were conducted in three stages: analysis of each scale of the models and sickness absences; assessment of the independent association of each model with sickness absences; assessment of the associations of three combinations of models/scales with sickness absences: DC and social support (SS), ERI and overcommitment, and DC and ERI. As regards comparisons between the stress models, ERI was shown to be independently associated with short (up to 9 days) and long (10 days or more) spells of absenteeism. The same result held true for low social support. The combinations DC-ERI and DC-SS were better predictors for short spells than each model/scale separately, whereas for long spells, the combination DC-SS was the best predictor. ERI seems to be a good instrument for predicting absenteeism if used alone, whereas DC performed better when combined with ERI or SS. An improved risk estimation of sickness absences by combining information from the two models was observed.
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3.
  • Härter Griep, Rosane, et al. (författare)
  • Work–family conflict and self-rated health : the role of gender and educational level. Baseline data from the Brazilian longitudinal study of adult health (ELSA-Brasil)
  • 2016
  • Ingår i: International Journal of Behavioral Medicine. - 1070-5503 .- 1532-7558. ; 23:3, s. 372-382
  • Tidskriftsartikel (refereegranskat)abstract
    • PurposeThis study examined gender differences in the association between work–family conflict and self-rated health and evaluated the effect of educational attainment.MethodWe used baseline data from ELSA-Brasil, a cohort study of civil servants from six Brazilian state capitals. Our samples included 12,017 active workers aged 34–72 years. Work–family conflict was measured by four indicators measuring effects of work on family, effects of family in work and lack of time for leisure and personal care.ResultsWomen experienced more frequent work–family conflict, but in both genders, increased work–family conflict directly correlated with poorer self-rated health. Women’s educational level interacted with three work–family conflict indicators. For time-based effects of work on family, highly educated women had higher odds of suboptimal self-rated health (OR = 1.54; 95 % CI = 1.19–1.99) than less educated women (OR = 1.14; 95 % CI = 0.92–1.42). For strain-based effects of work on family, women with higher and lower education levels had OR = 1.91 (95 % CI 1.48–2.47) and OR = 1.40 (95 % CI 1.12–1.75), respectively. For lack of time for leisure and personal care, women with higher and lower education levels had OR = 2.60 (95 % CI = 1.95–3.47) and OR = 1.11 (95 % CI = 0.90–1.38), respectively.ConclusionWomen’s education level affects the relationship between work–family conflict and self-rated health. The results may contribute to prevention activities.
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