Minna Mänty

This register-linked follow-up study examined whether psychological distress and demanding working conditions are jointly associated with short and long sickness absence (SA) periods among young and midlife Finnish public sector employees. We linked the Helsinki Health Study survey (response rate 51.5%, 80% women, ages 19–39 years in 2017) on psychological distress, physically and mentally strenuous work, and hours per day spent in physical work with the employer’s SA register (n = 3609, mean follow-up of 2.1 years). We calculated rate ratios (RRs) and their 95% confidence intervals (CIs) for short (1–7 days) and long (8+ days) SA periods using negative binomial regression models. Additionally, we calculated the synergistic interaction between psychological distress and working conditions. Most (88%) participants had at least one short and 31% at least one long SA period. Participants with psychological distress and exposure to demanding working conditions had the highest RRs for long SA periods (physically strenuous work: RR: 2.27, CI: 1.87–2.77; mentally strenuous work: RR: 2.02, CI: 1.66–2.46; ≥3 h per day spent in physical work: RR: 2.41, CI: 1.94–2.99). The interactions for long SA were negative for physically demanding working conditions, but additive for mentally strenuous work. The associations were weaker for short SA periods. Adjusting for other covariates only slightly attenuated these associations. Psychological distress and demanding working conditions were jointly associated with short and long SA periods. Both individual- and workplace-related risk factors for SA need to be considered when planning preventive actions.

Objective indicators of sleep and mental health problems in family caregivers have rarely been reported. to study the use of prescription benzodiazepines and related drugs (BZDRD) in Finnish family caregivers and matched controls. prospective follow-up in 2012–17. nationwide register-linkage study. all individuals who received family caregiver’s allowance in Finland in 2012 (N = 42,256; mean age 67 years; 71% women) and controls matched for age, sex and municipality of residence (N = 83,618). information on purchases of prescription BZDRD, including the number of defined daily doses (DDDs), between 2012 and 2017 was obtained from the Dispensations Reimbursable under the National Health Insurance Scheme register. Background information was obtained from national registers. more caregivers than controls used BZDRD, both among women (users per 100 person-years: 17.2 versus 15.2, P < 0.001) and men (14.6 versus 11.8, P < 0.001). These differences were largely explained by hypnotic BZDRD use. There were also more long-term BZDRD users per 100 person-years among caregivers than controls, both among women (5.0 versus 4.3, P = 0.001) and men (5.3 versus 3.8, P < 0.001). Use of hypnotic BZDRD in number of DDDs was higher in caregivers than in controls, particularly among men above 50 years. Caregivers used more anxiolytic BZDRD than controls from middle age to 75 years but less in the oldest age groups. higher level of BZDRD use among caregivers indicates that caregivers have more sleep and mental health problems than non-caregivers. Adequate treatment of these problems and support for caregiving should be ensured for caregivers.

Purpose: Physical work exposures are associated with sickness absence among older employees. We aimed to examine if they similarly contribute to all-cause sickness absence during early and mid-careers. Methods: We used questionnaire data on physical work exposures linked to register data on sickness absence from 3542 municipal employees aged 19–39 years. Follow-up for the number of sickness absence days was 12 months. Exposures to physical workload, occupational environmental hazards, and sedentary work were divided into quartiles. In addition, duration of daily exposure to heavy work was included. Negative binomial regression models were used. Results: Higher exposure to physical workload or hazardous exposures was associated with a higher number of sickness absence days. The age and gender adjusted rate ratios for sickness absence days among the participants whose exposure to physical workload was in the highest exposure quartile were 2.1 (95% CI 1.8‒2.5) compared with those whose exposure was in the lowest quartile. In addition, rate ratios for sickness absence days among participants who reported that they do heavy physical work 1.1‒2.0 h, 2.1‒4.0 h or over 4 h daily were 1.6 (1.3‒1.9), 1.5 (1.3‒1.8) and 1.7 (1.5‒2.1), respectively, compared with those who reported not doing physical work. Further adjustment for lifestyle factors or health characteristics attenuated the associations only slightly. Conclusion: Exposure to physically demanding work is associated with a higher number of sickness absence days among municipal employees below 40 years of age. Physical working conditions should be considered when aiming to support later work ability.

Purpose: The purpose of this study was to compare the use of antidepressants over 6 years between family caregivers providing high-intensity care and a matched control population using register-based data. Methods: The study includes all individuals, who received family caregiver’s allowance in Finland in 2012 (n = 29,846 females, mean age 66 years; n = 12,410 males, mean age 71 years) and a control population matched for age, sex, and municipality of residence (n = 59,141 females; n = 24,477 males). Information on purchases of antidepressants, including the number of defined daily doses (DDD) purchased, between 2012 and 2017 was obtained from the national drugs reimbursement register. Results: During the follow-up, 28.5% of female caregivers and 23.5% of the female controls used antidepressants, while the numbers for males were 21.1% and 16.4%, respectively. Adjusted for socioeconomic status, female caregivers used 43.7 (95% confidence interval 42.4–45.0) and their controls used 36.2 (35.3–37.2) DDDs of antidepressants per person-year. Male caregivers used 29.6 (27.6–31.6) and their controls used 21.6 (20.2–23.0) DDDs of antidepressants per person-year. Among female caregivers, the relative risk for use of antidepressants was similar (about 1.3) from 20 to 70 years, after which the relative risk declined. In male caregivers, the relative risk was highest (about 1.4–1.5) between 45 and 65 years. Conclusions: Family caregivers providing high-intensity care use more antidepressants and hence, are likely to have poorer mental health than the age-matched general population in virtually all age groups. However, the magnitude of the higher use varies as a function of age and gender.

Sleep and functioning are associated with a risk of early workforce exit. However, patterns of change in sleep and functioning through time have not been investigated using person-oriented approaches to show what features of sleep and functioning are associated with an early exit. We examined the pattern of interactions between sleep and health functioning characterizing homogenous subgroups of employees and their associations with premature work exit. An additional aim was to provide a tutorial providing detailed description on how to apply these models, compared to traditional variable based risk factors. We analyzed data from 5148 midlife employees of the City of Helsinki, Finland, surveyed over three phases (2000–02, 2007, and 2012). Using repeated measures latent class analyses (RMLCA) we classified people into groups based on their trajectories in sleep and functioning. We identified four longitudinal groups: (1) Stable good sleep and functioning (reference), (2) Persistent sleep problems and good or moderate functioning, (3) Poor functioning with good sleep, and (4) Problematic sleep and health functioning. Compared to group 1, elevated risk was found in all classes with group 4 being the worst. In conclusion, focusing on person-orientated patterns of interactions between sleep and functioning helped produce qualitatively different and quantitatively stronger predictions than using conventional risk factor methodology. Thus, longitudinal person-oriented approaches may be a more powerful method for quantifying the role of sleep and health functioning as risks for premature exit from work.

It is not well known how the timing of entry into paid employment and physical work exposures contribute to different health outcomes in young employees. Thus, we determined the associations of age at entry into paid employment and physical work exposures with general and mental health in young employees and determined whether associations differ by behavior-related risk factors. Data were collected via online and mailed surveys in autumn 2017 from employees of the City of Helsinki aged 18–39 years (n = 5897; 4630 women and 1267 men, response rate 51.5%). Surveys comprised measures of age at entry into paid employment, seven working conditions, behavior-related risk factors and health outcomes (self-rated health [SRH] and common mental disorders [CMD] as generic indicators of physical and mental health). Logistic regression analysis was used. After full adjustment, age at entry was not associated with the health outcomes; however, in additional analyses, younger age at first employment was associated with smoking and obesity (OR 3.00, 95% CI 2.34–3.85 and 1.67, 95% CI 1.32–2.11 for those started working at age of ≤18 years, respectively). Of the working conditions, sitting and standing were positively associated with poor SRH and CMD and uncomfortable working postures with CMD. Working conditions were broadly similarly associated with health outcomes among those with and without behavior-related risk factors. Although we found little support for modification by behavior-related risk factors, overweight, obesity and smoking were associated with poor SRH and binge drinking and smoking with CMD. Additionally, moderate and high levels of leisure-time physical activity were inversely associated with poor SRH. In conclusion, early entry into paid employment appears not to associate to immediate poorer health in young employees, although it was associated with smoking and obesity even after full adjustment. Exposure to physically heavy work and uncomfortable working postures may increase the risk of adverse health outcomes.

Background: Evidence on family caregivers' health is conflicting. Aim: To investigate all-cause and cause-specific mortality in Finnish family caregivers providing high-intensity care and to assess whether age modifies the association between family caregiver status and mortality using data from multiple national registers. Methods: The data include all individuals, who received family caregiver's allowance in Finland in 2012 (n = 42,256, mean age 67 years, 71% women) and a control population matched for age, sex, and municipality of residence (n = 83,618). Information on dates and causes of death between 2012 and 2017 were obtained from the Finnish Causes of Death Register. Results: Family caregivers had lower all-cause mortality than the controls over the follow-up (8.1 vs. 11.6%) both among women (socioeconomic status adjusted hazard ratio [HR]: 0.64, 95% CI 0.61–0.68) and men (adjusted HR: 0.73, 95% CI 0.70–0.77). When modelling all-cause mortality as a function of age, younger caregivers had only slightly lower or equal mortality to their controls, but older caregivers had markedly lower mortality than their controls, up to more than 10% lower. Caregivers had a lower mortality rate for all the causes of death studied, namely cardiovascular, cancer, neurological, external, respiratory, gastrointestinal and dementia. The lowest risk was for dementia (subhazard ratio = 0.29, 95% CI 0.25–0.34). Conclusions: Older family caregivers had lower mortality than the age-matched general population while mortality did not differ according to caregiver status in young adulthood. This age-dependent advantage in mortality is likely to reflect the selection of healthier individuals into the family caregiver role.

Occupational health service (OHS) is the main provider of primary care services for the working population in Finland. We investigated whether socioeconomic differences in the utilization of OHS predict sickness absence (SA) due to mental disorders. We used register linkage data covering the employees of the City of Helsinki aged 18–34 years (N = 6545) and 35–54 years (N = 15,296) from 2009 to 2014. The outcome was medically certified long-term (over 11 days) SA due to mental disorders. Cox regression analyses were performed to obtain hazard ratios (HR) and their 95% confidence intervals (CIs). Employees with low socioeconomic position (SEP) used OHS more frequently. The number of OHS visits independently predicted SA due to mental disorders. HRs were 1.59 (95% CI 1.35, 1.86) for those with frequent visits and 1.73 (95% CI 1.30, 2.29) for those with a clustered visit pattern among 18–34 year old employees; and 1.46 (95% CI 1.18, 1.81) and 1.41 (95% CI 1.14, 1.74) among 35–54 year old employees, respectively. In both age groups, lower education and routine non-manual worker position indicated the highest probability of SA. Low SEP predicts both high OHS utilization and subsequent SA due to mental disorders. Medical records may be used to accurately predict future SA, and the results indicate that preventive measures should be targeted particularly to younger employees with lower SEP.

Sickness absence is associated with poor health outcomes, but little is known about its consequences for general mental health. This study examined the associations between diagnosis-specific sickness absence and subsequent common mental disorders (CMD). Register data on medically certified all-cause sickness absence and sickness absence due to mental disorders and musculoskeletal diseases from 2004–2007 were linked to the Helsinki Health Study 2007 and 2012 survey data on City of Helsinki employees in Finland (N = 3560). Using logistic regression and multinomial logistic regression, we analysed the associations between the total number of reimbursed sickness absence days in 2004-7 and CMD General Health Questionnaire 12) in 2007 and 2012 and CMD changes. Sickness absence due to mental disorders (age- and sex-adjusted odds ratio (OR)range: 2.16 to 2.93), musculoskeletal diseases (OR range: 2.79 to 2.93) and all-cause sickness absence (OR range: 1.48 to 3.20) were associated with CMD in 2007. In 2012, associations with lower ORs were observed. Associations were also found with changing and especially repeated (OR range: 1.49 to 3.40) CMD. The associations remained after adjusting for work-related covariates and health behaviours. Diagnosis-specific sickness absence showed persistent associations with subsequent CMD and their changes. Attention should be paid to both the short- and long-term consequences of sickness absence for employee mental health.