A systematic review of prognostic studies was carried out. Medline, Embase, PsychINFO, CINAHL and PEDro electronic bibliographic databases up to April 2006 were searched. Included studies took baseline measures in the non-chronic phase of NSLBP (ie, within 3 months of onset), included at least one psychosocial variable and studied a sample in which at least 75% of participants had NSLBP. Baseline measures had to be used to predict at least one work-specific outcome.

The search identified 24 studies meeting the inclusion criteria. From these studies there is strong evidence that recovery expectation is predictive of work outcome and that depression, job satisfaction and stress/psychological strain are not predictive of work outcome. There is moderate evidence that fear avoidance beliefs are predictive of work outcome and that anxiety is not predictive of work outcome. There is insufficient evidence to determine whether compensation or locus of control are predictive of work outcome.

To predict work outcome in non-chronic NSLBP, psychosocial assessment should focus on recovery expectation and fear avoidance. More research is needed to determine the best method of measuring these constructs and to determine how to intervene when a worker has low recovery expectations.

A retrospective study was conducted on time to pregnancy (TTP) among 250 Portuguese shoe manufacturing workers exposed to solvents and 250 unexposed women working in stores of food units and storehouses. Data on TTP and related factors were collected by face-to-face interviews. The participation rate was 92%, and 81% of the workers (197 exposed women and 209 unexposed women) provided data for the analyses. Exposure assessment was based on hygienic measurements in the workplaces. TTP data were analysed with discrete proportional hazards regression.

Female exposure to solvents was associated with reduced fertility (adjusted fecundability density ratio (FDR) 0.55, CI 0.40 to 0.74 for low exposure, and FDR 0.70, CI 0.52 to 0.94 for high exposure). The findings were robust in different sensitivity analyses. A slightly stronger association was found among women with regular menstrual cycles. Exposure for less than 6 years was more strongly associated with reduced fertility (FDR 0.50, CI 0.30 to 0.83 and FDR 0.50, CI 0.28 to 0.90 for low and high exposure, respectively) than at least 6 years of exposure (FDR 0.60, CI 0.39 to 0.92 and FDR 0.86, CI 0.57 to 1.29 for low and high exposure, respectively). There was an interaction between solvent exposure and female smoking or use of coffee, the exposed women who smoke or use coffee being highly fecund.

The findings provide further evidence that exposure to organic solvents is hazardous for female reproduction. The observed association may be related to any of the following solvents commonly used in shoe manufacturing: n-hexane and hexane isomers, toluene, methyl ethyl ketone, acetone, ethyl acetate and dichloromethane.

Data from medical examination and a survey on working conditions and health were linked to administrative workers’ compensation databases. HRs for first low back and first neck injury were calculated with multivariate Cox regression models. Additional analyses accounted for severity of injury based on medical diagnosis.

A 1 SD increase in ERI was associated with compensated low back (HR 1.13, 95% CI 1.02 to 1.26) and neck injuries (HR 1.14, 95% CI 1.02 to 1.27) after adjusting for gender, age, height, weight, years of professional driving, weekly driving hours, vehicle type, ergonomic problems, pain at baseline and job strain. The highest quartile of ERI showed an HR of 1.32 (95% CI 0.94 to 1.86) for low back injuries and an HR of 1.66 (95% CI 1.16 to 2.38) for neck injuries after adjustment for all covariates. The associations between ERI and low back injury were stronger for more severe injuries (HR 1.23, 95% CI 1.03 to 1.46 for a 1 SD increase in ERI) than for less severe injuries (HR 1.11, 95% CI 0.96 to 1.28). For neck injuries, stronger relationships were found for less severe injuries (HR 1.15, 95% CI 1.02 to 1.29) than for more severe injuries (HR 1.10, 95% CI 0.86 to 1.41).

ERI is associated with low back and neck injuries in San Francisco transit operators independently of individual worker characteristics, physical workload, ergonomic problems, baseline pain and job strain. Effect sizes differ by injury severity.

Urinary albumin and creatinine were measured among members of the Multi-Ethnic Study of Atherosclerosis at three visits during 2000–2004. Exposure to PM_2.5 and PM₁₀ (µg/m³) was estimated from ambient monitors for 1 month, 2 months and two decades before visit one. We regressed recent and chronic (20 year) particulate matter (PM) exposure on urinary albumin/creatinine ratio (UACR, mg/g) and microalbuminuria at first examination, controlling for age, race/ethnicity, sex, smoking, second-hand smoke exposure, body mass index and dietary protein (n = 3901). We also evaluated UACR changes and development of microalbuminuria between the first, and second and third visits which took place at 1.5- to 2-year intervals in relation to chronic PM exposure prior to baseline using mixed models.

Chronic and recent particle exposures were not associated with current UACR or microalbuminuria (per 10 µg/m³ increment of chronic PM₁₀ exposure, mean difference in log UACR = –0.02 (95% CI –0.07 to 0.03) and relative probability of having microalbuminuria = 0.92 (95% CI 0.77 to 1.08)) We found only weak evidence that albuminuria was accelerated among those chronically exposed to particles: each 10 µg/m³ increment in chronic PM₁₀ exposure was associated with a 1.14 relative probability of developing microalbuminuria over 3–4 years, although 95% confidence intervals included the null (95% CI 0.96 to 1.36).

UACR is not a strong mechanistic marker for the possible influence of air pollution on cardiovascular health in this sample.

Nearly 7000 male workers who worked at the Wittenoom mine and mill have been followed up using death and cancer registries throughout Australia and Italy to the end of 2000. Person-years at risk were derived using two censoring dates in order to produce minimum and maximum estimates of asbestos effect. Standardised mortality ratios (SMRs) compare the mortality of the former Wittenoom workers with the Western Australian male population.

There have been 190 cases of pleural and 32 cases of peritoneal mesothelioma in this cohort of former workers at Wittenoom. Mortality from lung cancer (SMR = 1.52), pneumoconiosis (SMR = 15.5), respiratory diseases (SMR = 1.58), tuberculosis (SMR = 3.06), digestive diseases (SMR = 1.47), alcoholism (SMR = 2.24) and symptoms, signs and ill defined conditions (SMR = 2.00) were greater in this cohort compared to the Western Australian male population.

Asbestos related diseases, particularly malignant mesothelioma, lung cancer and pneumoconiosis, continue to be the main causes of excess mortality in the former blue asbestos miners and millers of Wittenoom.

Data on the daily numbers of hospitalisations for respiratory, cardiovascular, cardiac and ischaemic heart diseases were collected. Associations between exposure indicators and hospitalisations were estimated in each city using a Poisson regression model, controlling for confounding factors (seasons, days of the week, holidays, influenza epidemics, pollen counts, temperature) and temporal trends. City-specific findings were combined to obtain excess relative risks (ERRs) associated with a 10 µg/m³ increase in PM_2.5 and PM_2.5–10 levels.

We found positive associations between indicators of particulate pollution and hospitalisations for respiratory infection, with an ERR of 4.4% (95% CI 0.9 to 8.0) for PM_2.5–10 and 2.5% (95% CI 0.1 to 4.8) for PM_2.5. Concerning respiratory diseases, no association was observed with PM_2.5, whereas positive trends were found with PM_2.5–10, with a significant association for the 0–14-year-old age group (ERR 6.2%, 95% CI 0.4 to 12.3). Concerning cardiovascular diseases, positive associations were observed between PM_2.5 levels and each indicator, although some did not reach significance; trends with PM_2.5–10 were weaker and non-significant except for ischaemic heart disease in the elderly (ERR 6.4%, 95% CI 1.6 to 11.4).

In accordance with other studies, our results indicate that the coarse fraction may have a stronger effect than the fine fraction on some morbidity endpoints, especially respiratory diseases.

We analysed data from a multicentre hospital-based case-control study carried out in Spain (1998–2001) including 1219 cases of bladder cancer and 1271 controls. Of those, 126 cases and 122 controls reported a history of employment in the textile industry. Lifetime occupational history was obtained using a computer-assisted personal interview. Occupations, locations and materials used in the textile industry were assessed using a detailed questionnaire and expert assessment.

Overall, no increased risk of bladder cancer was found for textile workers, including duration of employment analysis. Increased risks were observed for weavers (OR = 1.82, 95% CI 0.95 to 3.47), for workers in winding/warping/sizing (OR 4.11, 95% CI 1.58 to 10.71) and for those exposed to synthetic materials (OR 1.89, 95% CI 1.00 to 3.56). Working for more than 10 years appeared to be associated with an increased risk for weavers (OR 2.27, 95% CI 0.97 to 5.34), for those who had ever worked in winding/warping/sizing (OR 11.03, 95% CI 1.37, 88.89), for workers in the weaving room (OR 2.94, 95% CI 1.24 to 7.01) and for those exposed to synthetic (OR 2.62, 95% CI 1.14 to 6.01) or cotton (OR 2.00, 95% CI 1.04 to 3.87) materials. Statistically significant higher risks were also found for specific combinations of occupations or locations with exposure to synthetics and cotton.

There was no overall increased risk for textile workers, but increased risks were found for specific groups of workers. Our findings indicate that observed risks in previous studies may be better evaluated by analysis of materials used or section worked within the industry and occupation.

This study is based on the Norwegian Mother and Child Cohort Study (MoBa) conducted by the Norwegian Institute of Public Health. 28 611 employed women filled in questionnaires in weeks 17 and 30 in pregnancy. The risk of absence for more than 2 weeks was studied among those who were not absent in week 17 (n = 22 932), and the probability of return to work in week 30 among those who were absent in week 17 (n = 5679). Data were based on self-report. The influence of job adjustment (three categories: not needed, needed but not obtained, needed and obtained) was analysed in additive models in multivariable binomial regression. Associations with other job characteristics and work environment factors were also analysed.

The risk of absence for more than 2 weeks was 0.308 and the probability of return to work was 0.137. Compared with women who needed but did not achieve job adjustment, obtained job adjustment was associated with a 0.107 decreased risk of absence (95% confidence interval 0.090 to 0.125) in a model including other job characteristics and work environment factors. Job adjustment was correspondingly associated with a 0.041 (0.023 to 0.059) increased probability of return to work. Absence was associated with adverse work environment, whereas the opposite pattern was found for return to work among those who started off being absent.

Job adjustment was associated with reduced absence from work in pregnancy. Results should be interpreted cautiously because of low participation in MoBa and potential information bias from self-reported data.

The aim of this study is to summarise data about occupational exposure levels to wood dust in Italy and to examine some exposure determinants.

Exposure measurements on wood dust were extracted from the SIREP (Italian Information System on Occupational Exposure to Carcinogens) database between 1996–2006. Descriptive statistics were calculated for exposure-related variables using univariate analyses. The prevalence of elevated exposure levels was estimated overall and for some industrial sectors. A multifactorial analysis of variance was performed to determine which factors influenced exposure levels to wood dust.

The total number of exposure measurements (n) reported is 10 837, which refer to 10 528 workers and 1181 companies. The overall arithmetic mean is 1.44 mg/m³ and the geometric mean is 0.97 mg/m³. Industrial sectors at high risk are "manufacture of wood and wood products" (n = 5539) as well as "manufacture of furniture" (n = 4347). About 74% of exposure measurements report a value <2 mg/m³. In the multifactorial analysis, it has been found that job category, industrial sector, company size and geographical location of the company influence the exposure levels.

This study confirms the previous findings about occupational exposure to wood dust (mainly in wood industry and among woodworking machine operators) and suggests further investigations on other risk sectors (building and repairing of ships and boats). The potential of the occupational exposure database as a source of data for exposure assessment and surveillance is also confirmed.