Impact of common mental disorders on sickness absence in an occupational cohort study

ObjectivesTo assess the relationship between early working life patterns, at privately and publicly held companies, and the course of sickness absence (SA) due to mental disorders.MethodsCohort study of workers aged 18–28 years, affiliated with the Spanish social security system, living in Catalonia, who had at least one episode of SA due to mental disorders between 2012 and 2014. Individual prior working life trajectories were reconstructed through sequence analysis. Optimal matching analysis was performed to identify early working life patterns by clustering similar individual trajectories. SA trajectories were identified using latent class growth modelling analysis. Finally, the relationship between early working life patterns and subsequent SA trajectories was assessed via multinomial logistic regression models.ResultsAmong both men and women, four labour market participation (LMP) patterns were identified: stable permanent employment (reference group), increasing permanent employment, fluctuating employment and delayed employment. Among women, an increasing permanent employment pattern in early working life was related to a decrease of accumulated SA days over time (adjusted OR (aOR) 2.08; 95% CI 1.18 to 3.66). In men, we observed a trend towards a middle stable accumulation of SA days in those with fluctuating employment (aOR 1.25, 95% CI 0.57 to 2.74) or delayed employment (aOR 1.79; 95% CI 0.59 to 5.41). In both men and women, an early working life in big companies was related to a more favourable SA trajectory.ConclusionsEarly LMP patterns characterised by an increasing stability—decreased number of transitions between temporary contracts and lack of social security coverage towards permanent contracts—were related to a better future SA course due to mental diagnosis.

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Preconception prediction of expectant fathers' mental health: 20-year cohort study from adolescence

BJPsych Open ◽

10.1192/bjo.2017.10 ◽

2018 ◽

Vol 4 (2) ◽

pp. 58-60 ◽

Cited By ~ 8

Author(s):

Elizabeth Spry ◽

Rebecca Giallo ◽

Margarita Moreno-Betancur ◽

Jacqui Macdonald ◽

Denise Becker ◽

...

Keyword(s):

Mental Health ◽

Cohort Study ◽

Mental Disorders ◽

Mental Health Problems ◽

Common Mental Disorders ◽

Common Mental Disorder ◽

Health Problems ◽

Adolescent And Young Adult ◽

Future Research ◽

Expectant Fathers

We examined prospective associations between men's common mental disorders in the decades prior to offspring conception and subsequent paternal antenatal mental health problems. Data came from a prospective intergenerational cohort study which assessed common mental disorder nine times from age 14 to 29 years, and in the third trimester of subsequent pregnancies to age 35 years (N = 295 pregnancies to 214 men). Men with histories of adolescent and young adult common mental disorders were over four times more likely to experience antenatal mental health problems. Future research identifying modifiable perinatal factors that counteract preconception risk would provide further targets for intervention.Declaration of interestNone.

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Assessing and predicting adolescent and early adulthood common mental disorders using electronic primary care data: analysis of a prospective cohort study (ALSPAC) in Southwest England

BMJ Open ◽

10.1136/bmjopen-2021-053624 ◽

2021 ◽

Vol 11 (10) ◽

pp. e053624

Author(s):

Daniel Smith ◽

Kathryn Willan ◽

Stephanie L Prady ◽

Josie Dickerson ◽

Gillian Santorelli ◽

...

Keyword(s):

Primary Care ◽

Cohort Study ◽

Mental Disorders ◽

Outcome Measures ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Common Mental Disorders ◽

Free Text ◽

Primary Care Data ◽

Time Point

ObjectivesWe aimed to examine agreement between common mental disorders (CMDs) from primary care records and repeated CMD questionnaire data from ALSPAC (the Avon Longitudinal Study of Parents and Children) over adolescence and young adulthood, explore factors affecting CMD identification in primary care records, and construct models predicting ALSPAC-derived CMDs using only primary care data.Design and settingProspective cohort study (ALSPAC) in Southwest England with linkage to electronic primary care records.ParticipantsPrimary care records were extracted for 11 807 participants (80% of 14 731 eligible). Between 31% (3633; age 15/16) and 11% (1298; age 21/22) of participants had both primary care and ALSPAC CMD data.Outcome measuresALSPAC outcome measures were diagnoses of suspected depression and/or CMDs. Primary care outcome measure were Read codes for diagnosis, symptoms and treatment of depression/CMDs. For each time point, sensitivities and specificities for primary care CMD diagnoses were calculated for predicting ALSPAC-derived measures of CMDs, and the factors associated with identification of primary care-based CMDs in those with suspected ALSPAC-derived CMDs explored. Lasso (least absolute selection and shrinkage operator) models were used at each time point to predict ALSPAC-derived CMDs using only primary care data, with internal validation by randomly splitting data into 60% training and 40% validation samples.ResultsSensitivities for primary care diagnoses were low for CMDs (range: 3.5%–19.1%) and depression (range: 1.6%–34.0%), while specificities were high (nearly all >95%). The strongest predictors of identification in the primary care data for those with ALSPAC-derived CMDs were symptom severity indices. The lasso models had relatively low prediction rates, especially in the validation sample (deviance ratio range: −1.3 to 12.6%), but improved with age.ConclusionsPrimary care data underestimate CMDs compared to population-based studies. Improving general practitioner identification, and using free-text or secondary care data, is needed to improve the accuracy of models using clinical data.

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Suicide attempt following sickness absence and disability pension due to common mental disorders: a prospective Swedish twin study

Social Psychiatry and Psychiatric Epidemiology ◽

10.1007/s00127-019-01803-w ◽

2019 ◽

Vol 55 (8) ◽

pp. 1053-1060 ◽

Cited By ~ 1

Author(s):

M. Wang ◽

L. Mather ◽

P. Svedberg ◽

E. Mittendorfer-Rutz

Keyword(s):

Mental Disorders ◽

Suicide Attempt ◽

Sickness Absence ◽

Disability Pension ◽

Depressive Disorders ◽

Proportional Hazards ◽

Common Mental Disorders ◽

Cox Proportional Hazards ◽

Shared Environment ◽

Familial Factors

Abstract Purpose The aim of this study was to investigate if sickness absence and disability pension (SA/DP) in general and due to specific common mental disorders (CMDs) are associated with subsequent suicide attempt among women and men by taking familial factors (genetics and shared environment) into consideration. Methods This register-based cohort study includes 4871 twin pairs 18–65 years of age discordant for SA/DP due to CMDs 2005–2010. Twins were followed up for suicide attempt from inpatient and specialised outpatient care until December 2012. Conditional Cox proportional hazards regression models, adjusting for familial factors, were used to calculate hazard ratios (HR) with 95% confidence intervals (CI). Results SA/DP due to CMDs was associated with a higher risk of suicide attempt (HR 3.14, CI 2.51–3.93). The risk of suicide attempt was five times higher among men and three times higher among women, compared to the SA/DP unaffected co-twins. In the diagnosis-specific analysis, SA/DP due to anxiety disorders resulted in the highest HR (4.09, CI 2.37–7.06) for suicide attempt, followed by depressive disorders (HR 3.70, CI 2.66–5.14) and stress-related disorders (HR 1.96, CI 1.35–2.84). The stratified analysis on zygosity indicates that there seems to be a genetic influence on the associations between SA/DP due to CMDs and suicide attempt, particularly among women and among those with SA/DP due to depressive disorders. Conclusions SA/DP due to CMDs was a risk factor for suicide attempt among women and men. Genetic factors might explain part of the associations for women and for those with SA/DP due to depressive disorders.

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Preventing sickness absence among employees with common mental disorders or stress-related symptoms at work: a cluster randomised controlled trial of a problem-solving-based intervention conducted by the Occupational Health Services

Occupational and Environmental Medicine ◽

10.1136/oemed-2019-106353 ◽

2020 ◽

Vol 77 (7) ◽

pp. 454-461 ◽

Cited By ~ 1

Author(s):

Marijke Keus van de Poll ◽

Lotta Nybergh ◽

Caroline Lornudd ◽

Jan Hagberg ◽

Lennart Bodin ◽

...

Keyword(s):

Mental Health ◽

Problem Solving ◽

Mental Disorders ◽

Occupational Health ◽

Sickness Absence ◽

Primary Outcome ◽

Common Mental Disorders ◽

Significant Group ◽

Secondary Outcomes

ObjectivesCommon mental disorders (CMDs) are among the main causes of sickness absence and can lead to suffering and high costs for individuals, employers and the society. The occupational health service (OHS) can offer work-directed interventions to support employers and employees. The aim of this study was to evaluate the effect on sickness absence and health of a work-directed intervention given by the OHS to employees with CMDs or stress-related symptoms.MethodsRandomisation was conducted at the OHS consultant level and each consultant was allocated into either giving a brief problem-solving intervention (PSI) or care as usual (CAU). The study group consisted of 100 employees with stress symptoms or CMDs. PSI was highly structured and used a participatory approach, involving both the employee and the employee’s manager. CAU was also work-directed but not based on the same theoretical concepts as PSI. Outcomes were assessed at baseline, at 6 and at 12 months. Primary outcome was registered sickness absence during the 1-year follow-up period. Among the secondary outcomes were self-registered sickness absence, return to work (RTW) and mental health.ResultsA statistical interaction for group × time was found on the primary outcome (p=0.033) and PSI had almost 15 days less sickness absence during follow-up compared with CAU. Concerning the secondary outcomes, PSI showed an earlier partial RTW and the mental health improved in both groups without significant group differences.ConclusionPSI was effective in reducing sickness absence which was the primary outcome in this study.

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