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This study explores whether instruments used to measure Job Control and Psychological Job Demands function differently by sex. We evaluated the comparability of these measures by sex using multigroup confirmatory factor analysis. All estimates were invariant by sex, except for the intercept for the item assessing how 'hectic' a worker perceives his/her job (which contributes to the Demands measure). This item intercept was statistically significantly higher for women than men, but not practically so. These findings suggest that the differences observed between men and women in the impact of work stress on health cannot be explained by measurement bias (when using the work stress measures employed in this study). Further research is needed to understand why work stress appears to affect the health of men and women differently. Keywords: Psychosocial Work Stress; Multigroup Confirmatory Factor Analysis; Sex; Measurement; Psychological Demands; Job Control, Introduction The impact of the psychosocial work environment on health has been the subject of scientific investigations for several decades (Eller et al., 2009; Gilbert-Ouimet, Trudel, Brisson, Milot, & Vezina, [...]

Objectives. We assessed predictors of work-related repetitive strain injuries using data from 4 waves of the Canadian National Population Health Survey. Methods. Participants were 2806 working adults who completed an abbreviated version of the Job Content Questionnaire in 1994-1995 and did not experience repetitive strain injuries prior to 2000-2001. Potential previous wave predictors of work-related repetitive strain injuries were modeled via multivariate logistic regression. Results. Female gender (odds ratio [OR] = 1.98; 95% confidence interval [CI] = 1.24, 3.18), some college or university education (OR = 1.98; 95% CI = 1.06, 3.70), job insecurity (OR = 1.76; 95% CI = 1.07, 2.91), high physical exertion levels (OR = 2.00; 95% CI = 1.29, 3.12), and high levels of psychological demands (OR = 1.61; 95% CI = 1.02, 2.52) were all positively associated with work-related repetitive strain injuries, whereas working less than 30 hours per week exhibited a negative association with such injuries (OR = 0.2; 95% CI = 0.1, 0.7). Conclusions. Modifiable job characteristics are important predictors of work-related repetitive strain injuries. doi:10.2105/AJPH.2004.048777)

Abstract Background Longitudinal studies using multi-level models to examine health inequalities in lower and middle income countries (LMICs) are rare. We explored socio-economic gradients in health among small farm members participating in a pesticide-related health and agriculture program in highland Ecuador. Methods We profiled 24 communities through key informant interviews, secondary data (percent of population with unsatisfied basic needs), and intervention implementation indicators. Pre (2005) and post (2007) surveys of the primary household and crop managers included common questions (education, age, and the health outcome - digit span scaled 0-10)) and pesticide-related practice questions specific to each. Household assets and pesticide use variables were shared across managers. We constructed multi-level models predicting 2007 digit span for each manager type, with staged introduction of predictor variables. Results 376 household managers (79% of 2005 participants) and 380 crop managers (76% of 2005 participants) had complete data for analysis. The most important predictor of 2007 digit span was 2005 digit span: β (Standard Error) of 0.31(0.05) per unit for household and 0.17(0.04) for crop managers. Household asset score was next most important: 0.14(0.06) per unit for household and 0.14(0.05) for crop managers. Community percent with unsatisfied basic needs was associated with reductions in 2007 digit span: -0.04(0.01) per percent for household and -0.03(0.01) for crop managers. Conclusions The important roles of life endowments and/or persistent neurotoxicity were exemplified by limited change in the health outcome. Gradients by household assets and community deprivation were indicative of ongoing, structural inequities within this LMIC.