BackgroundThis study aimed to investigate the association between exposure to occupational hazards for pregnancy and sick leave (SL) in pregnant workers.MethodsA cross-sectional study was performed in French occupational health services in 2014. Occupational hazards for pregnancy were assessed by occupational health physicians (OHPs). After delivery and at the time of returning to work, 1,495 eligible workers were interviewed by OHPs. Information on SL was self-reported. Risk ratios (RRs) were calculated from multivariable analyses based on a generalized linear model with a Bernoulli distribution and a log link adjusted for selected confounders for binary outcomes or zero-inflated negative binomial regression for count outcomes.ResultsAmong recruited workers, 74.9% presented “at least one SL” during pregnancy. After adjustment, the cumulative index of occupational hazards (0, 1–2, 3–4, ≥ 5 risks) for pregnancy was significantly associated with “at least one SL” during pregnancy in a dose–response relationship. This gradient was also observed with “early SL” (<15 week gestation): from 1 to 2 risks, RR = 1.48 (95% confidence intervals (CIs): 0.92-2.38); from 3 to 4 risks, RR = 2.03 (95% CI: 1.25-3.30); equal to or higher than five risks, RR = 2.90 (95% CI: 1.89-4.44); with “duration of absence” (adjusted mean): from 1 to 2 risks, m = 38.6 days; from 3 to 4 risks, m = 46.8 days; equal to or higher than five risks, m = 53.8 days. We also found that deprivation, pregnancy at risk, assisted reproductive therapy, work-family conflicts, home-work commuting felt as difficult and young age are associated with a higher risk of SL.ConclusionsOur results support the assertion that pregnant workers exposed to occupational hazards for pregnancy without medical complications are also at risk of taking SL during pregnancy. More prevention in the workplace for pregnant workers exposed to occupational hazards could reduce SL.

Our data suggest that deprived pregnant workers are an occupationally vulnerable group.

Our results argue for the need to follow pregnancies at work. However, the low level of prevention activities and the high level of sick leaves raise the question of the management of pregnant women at work.

Aim: To examine the quality of manual job coding carried out by occupational health teams with access to a software application that provides assistance in job and business sector coding (CAPS). Methods: Data from a study conducted in an Occupational Health Service were used to examine the first-level coding of 1,495 jobs by occupational health teams according to the French job classification entitled “PSC- Professions and socio-professional categories” (INSEE, 2003 version). A second level of coding was also performed by an experienced coder and the first and second level codes were compared. Agreement between the two coding systems was studied using the kappa coefficient (κ) and frequencies were compared by Chi2 tests. Results: Missing data or incorrect codes were observed for 14.5% of social groups (1 digit) and 25.7% of job codes (4 digits). While agreement between the first two levels of PCS 2003 appeared to be satisfactory (κ=0.73 and κ=0.75), imbalances in reassignment flows were effectively noted. The divergent job code rate was 48.2%. Variation in the frequency of socio-occupational variables was as high as 8.6% after correcting for missing data and divergent codes. Conclusions: Compared with other studies, the use of the CAPS tool appeared to provide effective coding assistance. However, our results indicate that job coding based on PSC 2003 should be conducted using ancillary data by personnel trained in the use of this tool.

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