Differences in exposure to occupational health risks in Spanish and foreign-born workers in Spain (Itsal Project)

Migrant workers usually show higher rates of work-related health problems than natives. However, little information is available about their exposure to occupational risks. We describe self-reported working exposure in Spanish and foreign-born workers. A cross-sectional survey was conducted as part of the ITSAL Project. Data on sociodemographic and self-reported occupational exposure in 1,841 foreign-born and 509 Spanish workers were collected through face-to-face interviews. Prevalence and adjusted odds ratios-aOR- (by age, education, type of contract) were calculated. Foreign-born men in non-services sectors and those in manual occupations perceived exposure to occupational risks with lower prevalence than Spanish workers. Foreign-born women reported higher prevalence of exposure than Spanish female workers. By occupation, foreign-born female workers were more likely than Spanish workers to report working many hours/day (aOR2.68; 95 % CI 1.06–6.78) and exposure to extreme temperatures (aOR2.19; 95 % CI 1.10–4.38). Some groups of migrant workers may need increased protection regarding some occupational exposures.

Prevalence of exposure to occupational risks during preganancy in Spain

Objectives. We describe reported exposures to main categories of occupational agents and conditions in Spanish pregnant workers. Methods. Women were recruited at 12th week of pregnancy from main public gynaecological consults to be included in the INMA Spanish cohorts study (n = 2,058). Through personal interviews with structured questionnaires, information on working situation and working conditions during pregnancy was obtained. Results. Fifty percent of the women reported frequent exposure to physical load (standing, heavy lifting) and 45 % reported exposure to three or more indicators of job strain. Exposure to at least one physical agent (noise, vibrations, etc.) affected 25 % of the women. Exposure to chemicals was reported by 20 % of the women, mostly including solvents and cleaning products. Eight percent of the women worked at night shifts. Job strain was more prevalent in office workers and industrial operators. Industrial workers showed the highest prevalence of exposure to chemical and physical pollutants. Conclusions. Our data suggest that working conditions of pregnant women may need increased control in Spain.

Environmental and Occupational Optometry. Lesson 2 (Course 2013-2014)

Tema 2. Actividad voluntaria nº 2.

Environmental and Occupational Optometry. Lesson 3 (Course 2013-2014)

Tema 3. Actividad evaluable nº 2.

Environmental and Occupational Optometry. Lesson 4 (Course 2013-2014)

Tema 4. Actividad voluntaria nº 2.

Environmental and Occupational Optometry. Lesson 5 (Course 2013-2014)

Tema 5. Actividad voluntaria nº 3.

Environmental and Occupational Optometry. Lesson 6 (Course 2013-2014)

Tema 6: Diseño del entorno visual. Actividad propuesta no. 3.

Gender inequalities in occupational health related to the unequal distribution of working and employment conditions: a systematic review

Introduction: Gender inequalities exist in work life, but little is known about their presence in relation to factors examined in occupation health settings. The aim of this study was to identify and summarize the working and employment conditions described as determinants of gender inequalities in occupational health in studies related to occupational health published between 1999 and 2010. Methods: A systematic literature review was undertaken of studies available in MEDLINE, EMBASE, Sociological Abstracts, LILACS, EconLit and CINAHL between 1999 and 2010. Epidemiologic studies were selected by applying a set of inclusion criteria to the title, abstract, and complete text. The quality of the studies was also assessed. Selected studies were qualitatively analysed, resulting in a compilation of all differences between women and men in the prevalence of exposure to working and employment conditions and work-related health problems as outcomes. Results: Most of the 30 studies included were conducted in Europe (n=19) and had a cross-sectional design (n=24). The most common topic analysed was related to the exposure to work-related psychosocial hazards (n=8). Employed women had more job insecurity, lower control, worse contractual working conditions and poorer self-perceived physical and mental health than men did. Conversely, employed men had a higher degree of physically demanding work, lower support, higher levels of effort-reward imbalance, higher job status, were more exposed to noise and worked longer hours than women did. Conclusions: This systematic review has identified a set of working and employment conditions as determinants of gender inequalities in occupational health from the occupational health literature. These results may be useful to policy makers seeking to reduce gender inequalities in occupational health, and to researchers wishing to analyse these determinants in greater depth.

Environmental and Occupational Optometry. Lesson 7 (Course 2013-2014)

Tema 7: Riesgos para lesiones oculares y visuales. Actividad propuesta nº 4.

Environmental and Occupational Optometry. Lesson 8 (Course 2013-2014)

Tema 8: Pantallas de visualización de datos. Actividad voluntaria nº 5.

Environmental and Occupational Optometry. Lesson 9 (Course 2013-2014)

Tema 9: Visión y conducción. Actividad obligatoria nº 5.

Environmental and Occupational Optometry. Lesson 10 (Course 2013-2014)

Tema 10: visión y deporte. Actividad voluntaria 6.

Individual differences in predicting occupational success: The effect of population heterogeneity

Using a sample of 339 university graduates from the University of Alicante (Spain) three years after completion of their studies, we studied the relationships between general intelligence (GI), personality traits, emotional intelligence (EI), academic performance, and occupational attainment and compared the results of conventional regression analysis with the results obtained from applying regression mixture models. The results reveal the influence of unobserved population heterogeneity (latent class) on the relationship between predictors and criteria and the improvement in the prediction obtained from applying regression mixture models compared to applying a conventional regression model.