ABSTRACT
OBJECTIVE: The aim was to investigate the association between night work during pregnancy and risk of having a small for gestational age (SGA) child. METHODS: This cohort study had payroll data with detailed information on working hours for employees in all Danish administrative regions (primarily hospital employees) between 2007 and 2015, retrieved from the Danish Working Hour Database. Pregnancies, covariates and outcome were identified from the national birth registry. We used logistic regression to investigate the association between intensity and duration of night work during the first 32 pregnancy weeks and SGA. The adjusted model included age, body mass index, socioeconomic status and smoking. Using quantitative bias analysis and G-estimation, we explored potential healthy worker survivor bias (HWSB). RESULTS: The final cohort comprised 24 548 singleton pregnancies in 19 107 women, primarily nurses and medical doctors. None of the dimensions of night work were associated with an increased risk of SGA. We found a tendency towards higher risk of SGA in pregnancies where the women stopped having night shifts during pregnancy. Using G-estimation we found an OR<1 for the association between night work and SGA if all workers continued having night work during pregnancy compared with daywork only. CONCLUSION: We found no increased risk of SGA in association with night work during pregnancy among healthcare workers. G-estimation was not precise enough to estimate the observed indication of HWSB. We need better data on pregnancy discomforts and complications to be able to safely rule out HWSB.
Subject(s)
Infant, Small for Gestational Age , Personnel, Hospital , Pregnancy , Infant, Newborn , Child , Female , Humans , Cohort Studies , Gestational Age , Risk Factors , Denmark/epidemiologyABSTRACT
BACKGROUND: Pregnancy can make it difficult to cope with demands at work and may affect women's well-being. We investigated if a manager-targeted educational intervention reduced demanding occupational exposures and improved the psychosocial work environment and well-being among pregnant employees. METHODS: Data came from a cluster randomised trial in Danish hospitals and day-care institutions. Work units were assigned randomly and were non-blinded to the intervention, where managers were either invited to participate in a three-hour seminar addressing job adjustment in pregnancy or assigned to a control group undertaking their usual practice. Self-reported outcomes by pregnant employees at the work units were the proportion of pregnant employees with demanding occupational exposures, good psychosocial work environment and good well-being. Mixed logistic regression was applied in the population of responders and in intention-to-treat analyses using multiple imputations. RESULTS: We included 915 pregnant employees: 451 in the intervention group and 464 in the control group. Of 216 invited managers, 103 (48%) participated in the seminar. A total of 339 (37%) pregnant employees answered the questionnaire. The proportion of pregnant employees who had demanding occupational exposures, good psychosocial work environment and good well-being in the intervention versus the control group were 36% versus 39% (odds ratio (OR)=0.90, 95% confidence interval (CI) 0.57-1.44), 56% versus 59% (OR=1.01, 95% CI 0.60-1.71) and 77% versus 73% (OR=1.13, 95% CI 0.68-1.87), respectively. CONCLUSIONS: This manager-targeted educational intervention did not reduce demanding occupational exposures and did not improve the psychosocial work environment or the well-being among pregnant employees in hospital and day-care settings. Comprehensive and participatory interventions may be considered in future studies.
Subject(s)
Occupational Exposure , Pregnant Women , Workplace , Female , Humans , Pregnancy , Workplace/psychology , Occupational Exposure/prevention & controlABSTRACT
OBJECTIVE: The aim was to test if targeting managers with an educational intervention reduces absence among pregnant employees. METHODS: The study was a non-blinded cluster randomised trial conducted in hospitals and daycare institutions from two administrative Danish Regions and two Danish municipalities. Clusters (work units) were assigned randomly and non-blinded to either (1) intervention, where all managers were invited to participate in a 3-hour seminar addressing needs and options for adjustment of work in pregnancy, or (2) control, with practice as usual. The primary outcome based on payroll data was long-term pregnancy-related absence, defined as ≥12.5% cumulated absence during pregnancy weeks 1-32. Intention-to-treat analysis was applied using mixed logistic regression. RESULTS: Ninety work units were included (56 hospital departments and 34 daycare units) with 451 pregnant employees in the intervention group and 464 in the control group. Work units had on average 11 pregnant employees with no difference between the groups. 103 of the 216 invited managers (48%) participated in a the 3-hour seminar. In the intervention group, 154 (34%) had long-term pregnancy-related absence during pregnancy weeks 1-32 vs 166 (36%) in the control group. Relative odds of having long-term pregnancy-related absence, when being in the intervention group, was 1.06 (95% CI 0.71 to 1.58), with an interclass correlation coefficient of 0.07. CONCLUSION: An educational intervention targeting managers did not reduce pregnancy-related absence among pregnant employees. TRIAL REGISTRATION NUMBER: NCT03002987.
ABSTRACT
OBJECTIVE: Observational studies indicate an association between working nights and miscarriage, but inaccurate exposure assessment precludes causal inference. Using payroll data with exact and prospective measurement of night work, the objective was to investigate whether working night shifts during pregnancy increases the risk of miscarriage. METHODS: A cohort of 22 744 pregnant women was identified by linking the Danish Working Hour Database (DWHD), which holds payroll data on all Danish public hospital employees, with Danish national registers on births and admissions to hospitals (miscarriage). The risk of miscarriage during pregnancy weeks 4-22 according to measures of night work was analysed using Cox regression with time-varying exposure adjusted for a fixed set of potential confounders. RESULTS: In total 377 896 pregnancy weeks (average 19.7) were available for follow-up. Women who had two or more night shifts the previous week had an increased risk of miscarriage after pregnancy week 8 (HR 1.32 (95% CI 1.07 to 1.62) compared with women, who did not work night shifts. The cumulated number of night shifts during pregnancy weeks 3-21 increased the risk of miscarriages in a dose-dependent pattern. CONCLUSIONS: The study corroborates earlier findings that night work during pregnancy may confer an increased risk of miscarriage and indicates a lowest observed threshold level of two night shifts per week.
Subject(s)
Abortion, Spontaneous/epidemiology , Registries/statistics & numerical data , Shift Work Schedule/adverse effects , Work Schedule Tolerance/psychology , Abortion, Spontaneous/psychology , Adult , Cohort Studies , Denmark , Female , Humans , Pregnancy , Prospective Studies , Risk Factors , Shift Work Schedule/psychology , Shift Work Schedule/statistics & numerical data , Stress, Psychological/complications , Stress, Psychological/psychologyABSTRACT
OBJECTIVE: The aim of our study was to investigate the acute effect of night work during pregnancy on the risk of calling in sick the following day using register-based information and the workers as their own controls. METHODS: Using the payroll-based national Danish Working Hour Database, including all public hospital employees in Denmark, we identified 9799 pregnant women with ≥1 day shift and ≥1 night shift and ≥1 day of sick leave during the first 32 pregnancy weeks from January 2007 to December 2013. We performed fixed effects logistic regression, that is, within-worker comparisons, of the risk of sick leave of any duration starting within 24 hours after night shifts of different length versus day shifts. RESULTS: Most of the participants were nurses (64%) or physicians (16%). We found an increased relative risk of sick leave following night shifts compared with day shifts during all pregnancy trimesters. The risk was highest for night shifts lasting >12 hours (OR 1.37, 95% CI 1.15 to 1.63 for nurses; OR 1.87, 95% CI 1.69 to 2.08 for physicians) and among women aged >35 years (OR 1.42, 95% CI 1.24 to 1.63). CONCLUSION: Among Danish public hospital employees night shifts during pregnancy, especially shifts longer than 12 hours, increased the risk of calling in sick the following day independent of personal factors and time-invariant confounders in all pregnancy trimesters.