Downsizing and purchases of psychotropic drugs: A longitudinal study of stayers, changers and unemployed.

BACKGROUND: The evidence is insufficient regarding the association between organizational downsizing and employee mental health. Our aim was to analyze trajectories of prescribed sedatives and anxiolytics with a sufficiently long follow-up time to capture anticipation, implementation and adaption to a downsizing event among stayers, changers and those who become unemployed compared to unexposed employees. METHOD: Residents in Sweden aged 20-54 years in 2007, with stable employment between 2004 and 2007, were followed between 2005 and 2013 (n = 2,305,795). Employment at a workplace with staff reductions ≥18% between two subsequent years in 2007-2011 (n = 915,461) indicated exposure to, and timing of, downsizing. The unexposed (n = 1,390,334) were randomized into four corresponding sub-cohorts. With generalized estimating equations, we calculated the odds ratios (OR) of purchasing prescribed anxiolytics or sedatives within nine 12-month periods, from four years before to four years after downsizing. In order to investigate whether the groups changed their probability of purchases over time, odds ratios (OR) and their 95% confidence intervals (95% CI) were calculated contrasting the prevalence of purchases during the first and the last 12-month period within four time periods for each exposure group. RESULTS: The odds of purchasing psychotropic drugs increased more for changers (sedatives OR 1.08, 95% CI 1.05-1.11) and unemployed (anxiolytics OR 1.08, 95% CI 1.03-1.14), compared to unexposed before downsizing, while for stayers purchases increased more than for unexposed during and after downsizing. Among those without previous sickness absence, stayers increased their purchases of psychotropic drugs from the year before the event up to four years after the event. CONCLUSION: This study indicates that being exposed to downsizing is associated with increased use of sedatives and anxiolytics, before the event among those who leave, but especially thereafter for employees who stay in the organization.

Sequence analysis of sickness absence and disability pension days in 2012-2018 among privately employed white-collar workers in Sweden: a prospective cohort study.

OBJECTIVE: The aim of the study is to explore sequences of sickness absence (SA) and disability pension (DP) days from 2012 to 2018 among privately employed white-collar workers. DESIGN: A 7-year prospective cohort study using microdata from nationwide registers. SETTING: Sweden. PARTICIPANTS: All 1 283 516 privately employed white-collar workers in Sweden in 2012 aged 18-67. METHODS: Sequence analysis was used to describe clusters of individuals who followed similar development of SA and DP net days/year, and multinomial logistic regression to analyse associations between sociodemographic variables and belonging to each observed cluster of sequences. Odds ratios (ORs) and 95% confidence intervals (CIs) were adjusted for baseline sociodemographics. RESULTS: We identified five clusters of SA and DP sequences: (1) 'low or no SA or DP' (88.7% of the population), (2) 'SA due to other than mental diagnosis' (5.2%), (3) 'SA due to mental diagnosis' (3.4%), (4) 'not eligible for SA or DP' (1.4%) and (5) 'DP' (1.2%). Men, highly educated, born outside Sweden and high-income earners were more likely to belong to the first and the fourth cluster (ORs 1.13-4.49). The second, third and fifth clusters consisted mainly of women, low educated and low-income (ORs 1.22-8.90). There were only small differences between branches of industry in adjusted analyses, and many were not significant. CONCLUSION: In general, only a few privately employed white-collar workers had SA and even fewer had DP during the 7-year follow-up. The risk of belonging to a cluster characterised by SA or DP varied by sex, levels of education and income, and other sociodemographic factors.

Gender differences in earnings among people with multiple sclerosis and associations with type of occupation and family composition: A population-based study with matched references.

Gender differences in earnings exist worldwide. Gender segregation or familial status have been previously stated as possible explanations for these differences as well as health differences between women and men. Women are diagnosed with multiple sclerosis (MS) as twice much as men. Moreover, MS limitations may affect the work capacity of people with MS (PwMS) implying a reduction in their earnings. We aimed to explore gender differences in earnings among people with MS and without MS and between groups of those diagnosed while also considering types of occupation and family composition, and how these possible differences relate to sickness absence (SA) and disability pension (DP). We conducted a population-based cohort study in Sweden with microdata from several nationwide registers. PwMS aged 19-57 years (n = 5128) living in Sweden and 31,767 matched references from the population without MS. Outcome measures included earnings, number of SA and DP days combined (SA/DP). A four-way weighted least-squares analysis of covariance was performed to explore the associations of gender, MS, type of occupation, and family composition with earnings. Risk of SA and DP days was assessed with logistic regression. Overall, and across all occupations, women earned less than men, although less so among managers with MS. Annual gender differences in earnings were larger if living with children at home compared to not living with children. Nevertheless, these gender differences decreased after adjusting for SA/DP, both among PwMS and references. PwMS had considerably more SA/DP days than references. Women also had more SA/DP days than men. We observed that working women earned less than working men, and that gender differences in earnings were present in all occupations, although less evident among PwMS in managerial positions. The combination of gender, occupation, family composition, and MS, was associated with earnings, even when adjusting for the number of SA and DP days.

Disease-modifying therapies and cost-of-illness progression among people newly diagnosed with multiple sclerosis: a national register-based cohort study covering treatment initiation with interferons, glatiramer acetate or natalizumab.

OBJECTIVES: Disease-modifying therapies (DMTs) can slow disease progression in multiple sclerosis (MS). The objective of this study was to explore the cost-of-illness (COI) progression among newly diagnosed people with MS in relation to the first DMT received. DESIGN AND SETTING: A cohort study using data from nationwide registers in Sweden. PARTICIPANTS: People with MS (PwMS) in Sweden first diagnosed in 2006-2015, when aged 20-55, receiving first-line therapy with interferons (IFN), glatiramer acetate (GA) or natalizumab (NAT). They were followed up through 2016. OUTCOME MEASURES: Outcomes (in Euros, €) were: (1) secondary healthcare costs: specialised outpatient and inpatient care including out-of-pocket expenditure, DMTs including hospital-administered MS therapies, and prescribed drugs, and (2) productivity losses: sickness absence and disability pension. Descriptive statistics and Poisson regression were computed, adjusting for disability progression using the Expanded Disability Status Scale. RESULTS: 3673 newly diagnosed PwMS who were treated with IFN (N=2696), GA (N=441) or NAT (N=536) were identified. Healthcare costs were similar for the INF and GA groups, while the NAT group had higher costs (p value<0.05), owing to DMT and outpatient costs. IFN had lower productivity losses than NAT and GA (p value>0.05), driven by fewer sickness absence days. NAT had a trend towards lower disability pension costs compared with GA (p value>0.05). CONCLUSIONS: Similar trends over time for healthcare costs and productivity losses were identified across the DMT subgroups. PwMS on NAT maintained their work capacity for a longer time compared with those on GA, potentially leading to lower disability pension costs over time. COI serves as an objective measure to explore the importance of DMTs in maintaining low levels of progression of MS over time.

Emotional demands and all-cause and diagnosis-specific long-term sickness absence: a prospective cohort study in Sweden.

BACKGROUND: High emotional demands at work require sustained emotional effort and are associated with adverse health outcomes. We tested whether individuals in occupations with high emotional demands, compared with low demands, had a higher future risk of all-cause long-term sickness absence (LTSA). We further explored whether the risk of LTSA associated with high emotional demands differed by LTSA diagnoses. METHODS: We conducted a prospective, nationwide cohort study on the association between emotional demands and LTSA (>30 days) in the workforce in Sweden (n = 3 905 685) during a 7-year follow-up. Using Cox regression, we analyzed sex-stratified risks of all-cause and diagnosis-specific LTSA due to common mental disorders (CMD), musculoskeletal disorders (MSD) and all other diagnoses. Multivariable adjusted models included age, birth country, education, living area, family situation and physical work demands. RESULTS: Working in emotionally demanding occupations was associated with a higher risk of all-cause LTSA in women [hazard ratio (HR) = 1.92, 95% confidence interval (CI): 1.88-1.96] and men (HR = 1.23, 95% CI: 1.21-1.25). In women, the higher risk was similar for LTSA due to CMD, MSD and all other diagnoses (HR of 1.82, 1.92 and 1.93, respectively). In men, risk of LTSA due to CMD was pronounced (HR = 2.01, 95% CI: 1.92-2.11), whereas risk of LTSA due to MSD and all other diagnoses was only slightly elevated (HR of 1.13, both outcomes). CONCLUSIONS: Workers in occupations with high emotional demands had a higher risk of all-cause LTSA. In women, risk of all-cause and diagnosis-specific LTSA were similar. In men, the risk was more pronounced for LTSA due to CMD.

Working life sequences over the life course among 9269 women and men in Sweden; a prospective cohort study.

OBJECTIVES: To investigate working life courses in women and men and possible associations with socioeconomic, health-, and work-related factors. METHODS: A 15-year prospective cohort study of individuals aged 18-50 in paid work at baseline and answering the Swedish Living Conditions Surveys (2000-2003, N = 9269) and their annual economic activity, using nationwide registers. We used sequence and cluster analyses to identify and group similar working life sequences. Multinomial logistic regression was used to examine associations of sex, socioeconomic, health-, and work-related factors with sequence cluster memberships. RESULTS: We identified 1284 working life sequences, of which 65% represented continuous active (in paid work/studying) states. We then identified five sequence clusters, the largest one with individuals who were continuously active (n = 6034, 65% of the participants; 54% of women and 76% of men) and smaller ones with interruptions of the active state by long-term parental-leave, unemployment, and/or sickness absence/disability pension (SA/DP), or retirement. Women were more likely than men to belong to the "Parental-leave periods" (odds ratio [OR]: 33.2; 95% confidence intervals [CI]: 25.6, 43.1) and the "SA/DP periods" sequence clusters (OR: 1.8; 95% CI: 1.4, 2.1), also after adjustment for covariates. In both sexes, low education and poor health were the strongest predictors of belonging to the sequence cluster "Unemployment & SA/DP periods". Predictors of the "Parental-leave periods" sequence cluster differed between women and men. CONCLUSIONS: In a cohort of individuals in paid work at baseline, the majority of women and men worked most of each year although women were more likely to have some interruptions characterized by long-term parental-leave or SA/DP periods than men, independently of socioeconomic, health-, and work-related factors.

A prognostic model for predicting the duration of 20,049 sickness absence spells due to shoulder lesions in a population-based cohort in Sweden.

MAIN OBJECTIVE: Sickness absence duration for shoulder lesion patients is difficult to prognosticate, and scientific evidence for the sick-listing practice is lacking. Our objective was to develop a clinically implementable prediction model for the duration of a sickness absence spell due to shoulder lesions. METHODS: All new sickness absence spells due to shoulder lesions (ICD-10-code: M75) issued in the period January 2010-June 2012 that were longer than 14 days were identified through the nationwide sickness absence insurance register. Information on predictors was linked from four other nationwide registers. Piecewise-constant hazards regression models were fitted to predict duration of sickness absence. The model was developed and validated using split sample validation. Variable selection was based on log-likelihood loss ranking when excluding a variable from the model. The model was evaluated using calibration plots and the c-statistic. RESULTS: 20 049 sickness absence spells were identified, of which 34% lasted >90 days. Predictors included in the model were age, sex, geographical region, occupational status, educational level, birth country, specialized healthcare at start of the spell, number of sickness absence days in the last 12 months, and specialized healthcare the last 12 months, before start date of the index sickness absence spell. The model was satisfactorily specified and calibrated. Overall c-statistic was 0.54 (95% CI 0.53-0.55). C-statistic for predicting durations >90, >180, and >365 days was 0.61, 0.66, and 0.74, respectively. SIGNIFICANCE: The model can be used to predict the duration of sickness absence due to shoulder lesions. Covariates had limited predictive power but could discriminate the very long sickness absence spells from the rest.

Multimorbidity and Sickness Absence/Disability Pension in Patients With Cluster Headache and Matched References: A Swedish Register-Based Study.

BACKGROUND AND OBJECTIVES: Multimorbidity among patients with cluster headache (CH) is considered to be high, but large studies are lacking. The aims were to explore the occurrence of diagnosis-specific multimorbidity among patients with CH and matched references and possible associations of this with their sickness absence and disability pension. METHODS: We performed a register-based study of patients with CH and matched references, regarding their multimorbidity, sickness absence, and disability pension. Data were obtained from 2 nationwide registers: Statistics Sweden's Longitudinal Integration Database for Health Insurance and Labor Market Studies (LISA) (for sociodemographics in 2009, sickness absence, and disability pension in 2010) and The National Board of Health and Welfare's specialized outpatient and inpatient registers for diagnosis-specific health care in 2001-2010 (for identifying patients with CH and multimorbidity, defined by ICD-10 codes). The prevalence and number of net days of sickness absence and/or disability pension in 2010 were calculated, in general and by multimorbidity. Odds ratios (OR) with 95% confidence intervals (CIs) were calculated for comparison of each diagnostic group with references without the chosen morbidity. RESULTS: We analyzed 3,240 patients with CH, aged 16-64 years, and living in Sweden in 2010 and 16,200 matched references. A higher proportion of patients with CH had multimorbidity (91.9%) than of references (77.6%), OR 3.263 (95% CI 2.861-3.721), both in general and regarding all analyzed diagnostic groups. Differences were particularly high for diagnoses relating to the nervous (CH 51.8% vs references 15.4%), OR 5.922 (95% CI 5.461-6.422), and musculoskeletal (CH 39.0% vs references 23.7%), OR 2.057 (95% CI 1.900-2.227), systems. Multimorbidity rates were overall higher among women in patients with CH (96.4% vs men 89.6%). Patients with CH had a higher mean number of days of sickness absence and disability pension compared with references, 63.15 vs 34.08 days. Moreover, multimorbidity was associated with a higher mean number of such days in patients with CH, 67.25, as compared with references, 40.69 days. DISCUSSION: The proportions of multimorbidity were high in both patients with CH and references, however, higher in the patients with CH, who also had higher sickness absence and disability pension levels. In particular, CH patients with multimorbidity and of female sex had high sickness absence and disability pension levels.

Trajectories of disease-modifying therapies and associated sickness absence and disability pension among 1923 people with multiple sclerosis in Sweden.

BACKGROUND: There is limited information on the trajectories of disease-modifying therapy (DMT) use and their association with sickness absence and/or disability pension (SADP) among people with multiple sclerosis (PwMS). The objective of the study was to identify trajectories of DMT use over 10 years among PwMS, identify sociodemographic and clinical factors associated with the trajectories, and to assess the association between identified trajectories and SADP days. METHODS: A longitudinal register-based study was conducted, on a prospective data set linked across six nationwide registers, assessing treatment courses of PwMS with DMTs for the 10 years following multiple sclerosis (MS) onset. The study included 1923 PwMS with MS onset in 2007-2010, when aged 19-56 years. In each 6-month-period, their treatment was categorized as before treatment, high-efficacy, non-high-efficacy, or no DMT. Sequence analysis was performed to identify sequences of the treatment categories and cluster them into different DMT trajectories. Cluster belonging, in relation to demographic and clinical characteristics, was assessed through log-multinomial regression analysis. The association of trajectories/cluster-belonging with SADP net days was assessed using generalized estimating equation (GEE) models. RESULTS: Cluster analyses identified 4 trajectories of DMT use: long-term non-high-efficacy DMTs (38.6%), escalation to high-efficacy DMTs (31.2%), delayed start and escalation to high-efficacy DMTs (15.4%), and discontinued/ no DMT (14.2%). Age, MS type, expanded disability status scale (EDSS) score and the number of DMT switches were associated with cluster belonging. The youngest age group (18-25) were more likely to be in the escalation to high-efficacy cluster. People with primary progressive MS were more likely to be in the delayed start or discontinued/ no DMT cluster. Higher EDSS scores were associated to being in the other three clusters than in the long-term non-high-efficacy DMTs cluster. Higher number of DMT switches were associated with being in the escalation to high-efficacy DMTs cluster but less likely to be in the delayed start or discontinued/ no DMT clusters. Descriptive analyses showed a trend of fewer mean SADP days among PwMS using non-high-efficacy DMT than the other clusters about 9 years after onset. PwMS in the escalation to high-efficacy and discontinued/no DMT clusters had more SADP days. PwMS in the delayed start and escalation to high-efficacy DMTs cluster, started with fewer SADP days which increased over time. SADP days adjusted through GEE models showed trends comparable with the descriptive analysis. CONCLUSION: This study described the long-term real-world trajectories of DMT use among PwMS in Sweden using sequence analysis and showed the association of the trajectories with SADP days as well as sociodemographic and clinical characteristics.

Excess costs of multiple sclerosis: a register-based study in Sweden.

BACKGROUND AND OBJECTIVE: Population-based estimates of the socioeconomic burden of multiple sclerosis (MS) are limited, especially regarding primary healthcare. This study aimed to estimate the excess costs of people with MS that could be attributed to their MS, including primary healthcare. METHODS: An observational study was conducted of the 2806 working-aged people with MS in Stockholm, Sweden and 28,060 propensity score matched references without MS. Register-based resource use was quantified for 2018. Annual healthcare costs (primary, specialised outpatient, and inpatient healthcare visits along with prescribed drugs) and productivity losses (operationalised by sickness absence and disability pension days) were quantified using bottom-up costing. The costs of people with MS were compared with those of the references using independent t-tests with bootstrapped 95% confidence intervals (CIs) to isolate the excess costs of MS from the mean difference. RESULTS: The mean annual excess costs of MS for healthcare were €7381 (95% CI 6991-7816) per person with MS with disease-modifying therapies as the largest component (€4262, 95% CI 4026-4497). There was a mean annual excess cost for primary healthcare of €695 (95% CI 585-832) per person with MS, comprising 9.4% of the excess healthcare costs of MS. The mean annual excess costs of MS for productivity losses were €13,173 (95% CI 12,325-14,019) per person with MS, predominately from disability pension (79.3%). CONCLUSIONS: The socioeconomic burden of MS in Sweden from healthcare consumption and productivity losses was quantified, updating knowledge on the cost structure of the substantial excess costs of MS.

Factors associated with general practitioners' contacts with sick-listed patients' employers: A Swedish nationwide questionnaire study.

Background: General practitioners' (GP) contacts with sick-listed patients' employers have been shown to be of importance for return to work. This study aimed to explore GPs' contacts with sick-listed patients' employers and factors associated with such contacts. Methods: In this cross-sectional study, 4228 GPs responded to a nationwide questionnaire about sickness certification (SC) practices. Outcomes of interest were participation in stakeholder meetings, having other contacts with employers, and satisfaction with employer contacts. Logistic regression models were used to investigate associations with factors related to the GP and the GP's workplace. Results: Among GPs, 34.8% participated in stakeholder meetings and 15.1% had other employer contacts; 39.4% had any or both of these contacts. Of GPs who had contacts with patients' employers, 65.8% were satisfied with the contacts. GPs regularly collaborating with rehabilitation coordinators had the strongest adjusted odds ratio (OR) for participating in stakeholder meetings, OR 2.72 (95% confidence interval (CI) 2.24-3.31), and having other contacts with employers, OR 3.85 (95% CI 2.85-5.21). Other factors positively associated with employer contacts were being a specialist, collaborating with other health professionals, finding employer contacts valuable, and having a joint SC routine/policy at the clinic. GPs who did not find SC problematic, had managerial support, or had enough resources for SC tasks were more likely to be satisfied with their employer contacts. Conclusions: Both physician characteristics and organizational factors had importance for GPs' contacts with sick-listed patients' employers. The findings imply that GPs' collaboration with patients' employers may be improved by interventions targeting both individual and organizational factors.

Trends in Associations Between Sickness Absence Before the Age of 65 and Being in Paid Work After the Age of 65: Prospective Study of Three Total Population Cohorts.

The increasing workforce participation at higher ages may impact social insurance systems, however, this has hardly been studied at all. We studied associations between sociodemographic factors and prior sickness absence and disability pension, with having paid work and sickness absence after age 65, and if such associations changed over time. We used longitudinal register data regarding three cohorts of all residents in Sweden who turned 65 in 2000, 2005, or 2010 (N = 50,000, 68,000, and 99,000, respectively). Although employment rates when aged 66-71 increased between the cohorts, associations of sociodemographic factors with paid work and sickness absence, when aged 66-71 did not. Both sickness absence and disability pension when aged 60-64 were negatively associated with working past 65. Sickness absence when aged 60-64 was positively associated and disability pension was negatively associated with sickness absence after 65. Possibilities to remain in paid work with different health conditions need to be strengthened to avoid inequalities when raising the retirement age.

Paid work increased from 2000 to 2010, sickness absence increased marginallyAssociations of sociodemographic factors with paid work did not change over timePrior sickness absence and disability pension correlate with paid work after age 65Sickness absence before age 65 correlates with sickness absence after 65Disability pension before age 65 correlates with less sickness absence after 65.

Sickness absence and disability pension three years before and seven years after first childbirth: A Swedish population-based cohort study.

AIMS: There is a widely held belief, in Sweden and internationally, that women with children are more likely to be on sickness absence (SA) than their nulliparous counterparts. However, empirical findings in the field are limited and inconsistent. We aimed to explore initially nulliparous women's patterns of SA and disability pension (DP) three years before and seven years after 2009, by later parity. METHODS: We conducted a longitudinal cohort study of nulliparous women in Sweden on 31 December 2009 (N=426,918). We compared crude and standardized numbers of SA/DP net days in the three years before (Y-3 to Y-1) and the seven years (Y+1 to Y+7) after the date of the first birth in 2010 or 2 July 2010 in the following three groups: (1) women with no childbirth during the seven-year follow-up and an additional nine months (i.e. 7.8 years), (2) women with a first childbirth in 2010 and no additional childbirth during the next 7.8 years, and (3) women with their first childbirth in 2010 and minimum one more during the next 7.8 years. RESULTS: Women remaining nulliparous had consistently more standardized mean SA/DP days than women giving birth. Compared with women with one birth, women with several births had similar mean numbers of standardized SA/DP days during Y-3 and Y-2, more during Y+1 to Y+3 and fewer during Y+4 to Y+7. CONCLUSIONS: In contrast to the widely held societal belief, we found that in all years women who gave birth had fewer SA/DP days than those remaining nulliparous.

Sickness absence in relation to first childbirth in nulliparous women, employed in the education and care branches in the public or private sectors: A Swedish longitudinal cohort study.

BACKGROUND: Pregnancy and childbirth entail increased risks of sickness absence (SA). Many women work in education and care, two branches characterised by high SA levels; it is not known if the link between childbirth and SA in these branches differs between private and public sectors. We examined SA and disability pension (DP) in relation to childbirth among women working in the education and care branches, and if these patterns differed between public and private sectors. METHODS: We performed a Swedish register-based cohort study. Study participants were nulliparous women living in Sweden in December 2004 and employed in education or care (n = 120,013). We compared SA/DP in the three years before and after 2005 among women who had no childbirth during follow-up (B0), had one childbirth in 2005 and no more (B1), and had one childbirth in 2005 and at least one more during follow-up (B1+). Analyses were performed for all and by public or private sector. RESULTS: Of all studied women, 70% worked in the public sector. Women in B1 and B1+ had, except for the year before childbirth, comparable or lower mean combined SA/DP days than women in the B0 group; women in the B1+ group had, except for the year before childbirth, the lowest mean level of SA/DP. We observed no substantial differences in these patterns between public and private sectors. CONCLUSIONS: Patterns of SA/DP among nulliparous women who did or did not give birth did not differ substantially between public and private sectors among women in the educational and care branches.

Long-term diagnosis-specific sickness absence, disability pension, and healthcare use in 1305 young adult childhood cancer survivors and in 6430 references; a Swedish ten-year prospective cohort study.

BACKGROUND: Childhood cancer survivors (CCS) are at high risk of chronic health conditions. We aimed to explore young adult CCS' and matched references' future diagnoses-specific healthcare use, sickness absence (SA), and disability pension (DP). METHODS: We performed a prospective cohort study with microdata from seven nationwide Swedish registers. We included 1305 young adult CCS born 1983-1988 and living in Sweden in 2008 and 6430 matched references and followed them for ten years (2009-2018) regarding mean annual specialized outpatient visits, inpatient days, and SA (spells >14 days) and/or DP (SADP) days, overall and by eight diagnostic groups. Risk factors for >90 SADP days in 2018 were explored as odds ratios (OR) with 95% confidence intervals (CI) by adjusted logistic regression. RESULTS: Approximately 80% of CCS and 90% of references did not have SADP in the ten-year follow-up. Mean SADP days/year was higher among CCS (40-50 days/year), particularly in CNS tumor survivors (76-83 days/year), compared to references (12-18 days/year). Most SADP days were DP days. CCS had more mean outpatient visits (1.6-1.8 visits/year) and inpatient days (0.8-1.7 days/year) than references (0.8-1.2 visits/year and 0.6-0.75 days/year, respectively). The main healthcare use and SADP diagnoses were neoplasms and psychiatric disorders among all CCS, along with nervous system and endocrine conditions among CNS tumor survivors. The risk of SADP >90 days in 2018 was higher among female compared to male CCS (OR = 2.34, 95% CI 1.67-3.32), those with elementary schooling compared to high school/university education (OR = 6.52, 95% CI 4.49-9.49), and survivors of CNS tumors compared to other malignancies (OR hematological versus CNS = 2.88, 95% CI 1.95-4.28; OR hematological versus non-CNS solid tumors = 0.71, 95% CI 0.45-1.09). CONCLUSIONS: Most CCS did not have SADP as young adults; nevertheless, their risk of SADP was higher than among matched references. CNS tumor survivors were at particularly high risk of SADP.

Trajectories of sickness absence and disability pension days among 189,321 white-collar workers in the trade and retail industry; a 7-year longitudinal Swedish cohort study.

OBJECTIVE: 1) identify different trajectories of annual mean number of sickness absence (SA) and disability pension (DP) days among privately employed white-collar workers in the trade and retail industries and 2) investigate if sociodemographic and work-related characteristics were associated with trajectory membership. METHODS: A longitudinal population-based cohort register study of all white-collar workers in the trade and retail industry in 2012 in Sweden (N = 189,321), with SA and DP data for 2010-2016. Group-based trajectory analysis was used to identify groups of individuals who followed similar trajectories of SA/DP days. Multinomial logistic regression was used to determine associations between sociodemographic and work-related factors and trajectory membership. RESULTS: We identified four trajectories of SA/DP days. Most individuals (73%) belonged to the trajectory with 0 days during all seven years, followed by a trajectory of few days each year (24%). Very small minorities belonged to a trajectory with increasing SA/DP days (1%) or to constantly high SA/DP (2%). Men had a lower risk of belonging to any of the three trajectories with SA/DP than women (OR Low SA/DP 0.42, 95% CI 0.41-0.44; Increasing SA/DP 0.34, 0.30-0.38; High SA/DP 0.33, 0.29-0.37). Individuals in occupations with low job control had a higher risk of belonging to the trajectory High SA/DP (OR low demands/low control 1.51; 95% CI 1.25-1.83; medium demands/low control 1.47, 1.21-1.78; high demands/low control 1.35, 1.13-1.61). CONCLUSION: Most white-collar belonged to trajectories with no or low SA/DP. Level of job control was more strongly associated with trajectory memberships than level of job demands.

Sickness Absence and Disability Pension in the Trade and Retail Industry: A Prospective Cohort Study of 192,000 White-Collar Workers in Sweden.

OBJECTIVE: This study aimed to investigate future sickness absence (SA) and disability pension (DP) among privately employed white-collar employees in the trade and retail industry. METHODS: A prospective population-based cohort study of all 192,077 such workers in Sweden in 2012, using linked microdata from nationwide registers, was conducted. Descriptive statistics of annual SA/DP during 2010 to 2016 and logistic regression for SA/DP in 2016 were used. RESULTS: Women had more mean SA/DP net days/person; however, there were no sex differences in the mean number of net days/person with SA/DP. The mean number of net days/person increased, especially with mental diagnoses. Sickness absence in 2012 was the strongest factor associated with SA/DP in 2016 (women: odds ratio, 3.28; 95% confidence interval, 3.09-3.47; men: odds ratio, 4.10; 95% confidence interval, 3.76-4.48). Work-related factors were weakly associated with future SA/DP. CONCLUSIONS: The number of SA/DP net days per person increased, especially SA/DP days due to mental diagnoses.

Self-employment, sickness absence, and disability pension in multiple sclerosis.

OBJECTIVES: Early withdrawal from work is common among people with multiple sclerosis (PwMS). However, little is known about how this is influenced by the type of employment. The aims were to explore the distributions of self-employed and other types of employment (employed or no earnings from work) before and after MS diagnosis and its associations with sickness absence (SA) and disability pension (DP) among PwMS and matched references without MS. MATERIALS & METHOD: A 6-year longitudinal cohort study of 2779 individuals diagnosed with MS in 2008-2012 when aged 20-59 and of 13,863 matched individuals without MS from Sweden's population was conducted. Hazard ratios (HR) of >180 SA and/or DP days/year were compared by employment status among PwMS and references using Cox proportional hazard models with 95% confidence intervals (CI). RESULTS: Most had no SA or DP. Nevertheless, PwMS had higher SA and DP levels compared with references. PwMS had a higher likelihood to reach >180 days of SA (HR = 4.89, 95% CI = 4.43-5.40) or days of DP (HR = 6.31, 95% CI = 5.46-7.30), irrespective of the employment status. Self-employed references had less likelihood for >180 SA days than employed references. However, self-employed and employed PwMS had a similar likelihood for >180 SA days. Transitions of employees to self-employment were infrequent among PwMS (1.7%) and references (2.6%). CONCLUSIONS: PwMS transit to SA and DP to a higher extent than references. In contrast to individuals without MS, self-employed PwMS had similar SA levels to employed PwMS. Switching to self-employment was not a predominant choice for people recently diagnosed with MS.

Clustering of disability pension and socioeconomic disadvantage in Sweden: a geospatial analysis.

BACKGROUND: To characterize geospatial patterning of disadvantage in Sweden, we examined whether municipal-level indicators of socioeconomic disadvantage and disability pension (DP) rate were clustered, whether the different geospatial clusters were overlapping and whether the findings were similar among women and men. METHODS: Administrative national data from all 290 Swedish municipalities were used to determine the prevalence of DP and socioeconomic disadvantage [poverty, long-term unemployment, income inequality (GINI Index) and income inequality between women and men]. Geospatial cold spots (clusters of municipalities with a DP/socioeconomic disadvantage prevalence lower than the nationwide prevalence) and hot spots (clusters of municipalities with a DP/socioeconomic disadvantage higher than the nationwide prevalence) were identified, and whether a hot spot was overlapping with another hot spot and a cold spot overlapping with another cold spot were analysed using the Getis-Ord Gi statistics. RESULTS: Among women and men, cold spots of DP were most consistently located in the Stockholm area. Hot spots of DP were found in the mid-south Sweden, characterized by mid-sized urban centres in rural territories. High DP rate and socioeconomic disadvantage were overlapping, except for income inequality. Clusters of gender income inequality and women's high DP rate were observed in mid-south Sweden. CONCLUSION: DP and socioeconomic disadvantage are not randomly distributed in Sweden. Geospatial analyses revealed clusters of municipalities with high risk of both DP and socioeconomic disadvantage in certain areas and low risk in other areas. Further research is needed to identify preventive actions to decrease regional inequalities in work capacity.