scholarly journals Associations of sickness absence and disability pension due to mental and somatic diagnoses when aged 60–64 with paid work after the standard retirement age; a prospective population-based cohort study in Sweden

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aleksiina Martikainen ◽  
Alice Svensson Alavi ◽  
Kristina Alexanderson ◽  
Kristin Farrants
Keyword(s):  
Cohort Study ◽  
Sickness Absence ◽  
Disability Pension ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Outcome Variable ◽  
Retirement Age ◽  
Paid Work ◽  
Diagnosis Group ◽  
Lower Likelihood

Abstract Background The proportion of people working beyond age 65 is increasing. We aimed to explore whether sickness absence (SA) and disability pension (DP) due to mental, somatic, or both diagnoses when aged 60–64 were associated with being in paid work when aged 66–71. Methods This prospective population-based cohort study included all 98,551 individuals who in 2010 turned 65 years, lived in Sweden, and were in paid work at some point when aged 60–64. Data from three nationwide registers were used with 2010 as baseline, with SA or/and DP as the exposure variables (2005–2009) and paid work as the outcome variable (2011–2016). Logistic regression was conducted to calculate odds ratios (OR) with 95% confidence intervals (CI) for the association between exposures and outcome, controlling for sociodemographic factors. The analyses were also stratified by sex. Results Nearly half were in paid work during follow-up. Those with SA due to mental diagnoses had lower likelihood of being in paid work among both sexes (women OR: 0.76; 95% CI: 0.69–0.84; men 0.74; 0.65–0.84), while this association was smaller for SA due to somatic diagnoses (women 0.87; 0.84–0.91; men 0.92; 0.89–0.96). SA due to both mental and somatic diagnoses was associated with a lower likelihood of paid work for men (0.77; 0.65–0.91), but not women (0.98; 0.88–1.09). Regardless of diagnosis group and sex, DP had the strongest association with not being in paid work (women mental DP 0.39; 0.34–0.45; women somatic DP 0.38; 0.35–0.41; women mental and somatic DP 0.28; 0.15–0.56; men mental DP 0.36; 0.29–0.43; men somatic DP 0.35; 0.32–0.38; men mental and somatic DP 0.22; 0.10–0.51). Combined SA and/or DP demonstrated ORs in-between the diagnosis groups of SA and DP alone (e.g., mental SA and/or DP women and men combined 0.61; 0.57–0.65). Conclusions SA and DP were negatively associated with being in paid work after the standard retirement age of 65. The association was especially strong for DP, irrespective of diagnosis group. Moreover, compared to somatic diagnoses, SA due to mental diagnoses had a stronger association with not being in paid work. More knowledge is needed on how mental SA impedes extending working life.

scholarly journals Trajectories of sickness absence and disability pension in colorectal cancer: a Swedish cohort study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Chen ◽  
K Alexanderson
Keyword(s):  
Colorectal Cancer ◽  
Cohort Study ◽  
Sickness Absence ◽  
Educational Level ◽  
Disability Pension ◽  
Population Based ◽  
Work Situation ◽  
Working Age ◽  
Future Work ◽  
Very High

Abstract Background Working-aged colorectal cancer (CRC) patients have a much better survival nowadays, indicating the importance of their future work situation. We aimed to investigate trajectories of sickness absence and disability pension (SADP) days before and after CRC diagnosis and in references, and risk factors associated with different trajectories. Methods A longitudinal, population-based matched cohort study of 4735 CRC survivors in Sweden aged 19-62 when first diagnosed with CRC in 2008-2011, and 18,230 matched references was conducted, using microdata linked from several nationwide registers. The annual SADP net days for 2 years before through 5 years after diagnosis date were computed. A group-based trajectory model was used to depict SADP trajectories. Associations between trajectory membership, and sociodemographic and clinical variables were tested by chi2 test and multinomial logistic regression. Results Four trajectories of SADP days/year for CRC survivors were identified: “only increase around diagnosis” (52% of all, n = 2481), “slight increase after diagnosis” (27%), “high then decrease moderately after diagnosis” (13%), and “constantly very high” (8%). Educational level (R2=0.022), Charlson's Comorbidity Index (R2=0.029), and prediagnostic mental disorders (R2=0.066) were the strongest factors determining the SADP trajectory groups. In references, three trajectories (”constantly low” (80% of all), “constantly moderate and decrease gradually” (12%), and “very high then decrease overtime” (8%)) were identified. Conclusions Approximately 80% of CRC survivors return to a low level of SADP (0-60 days/year) at 5 years postdiagnosis. Prediagnostic status of mental disorders, somatic comorbidity, and low educational level are good indicators of future high SADP levels for CRC survivors. Key messages Most of working-age colorectal cancer survivors have low levels of sickness absence and disability pension days five years after their diagnosis. Trajectory analyses based on population-based register data can be used as a good approach in understanding future work situation regarding sick leave among working-age cancer survivors.

Future risk for disability pension among people with sickness absence due to otoaudiological diagnoses: a population-based cohort study with a 12-year follow-up

2011 ◽  
Vol 39 (5) ◽  
pp. 501-507 ◽  
Author(s):  
Klas Gustafsson ◽  
Gunnel Backenroth-Ohsako ◽  
Ulf Rosenhall ◽  
Elisabeth Ternevall-Kjerulf ◽  
Mats Ulfendahl ◽  
...  
Keyword(s):  
Cohort Study ◽  
Sickness Absence ◽  
Disability Pension ◽  
Population Based ◽  
Future Risk ◽  
Risk For Disability

Cluster headache

Neurology ◽  
2019 ◽  
Vol 93 (4) ◽  
pp. e404-e413 ◽  
Author(s):  
Anna Steinberg ◽  
Pontus Josefsson ◽  
Kristina Alexanderson ◽  
Christina Sjöstrand
Keyword(s):  
Cluster Headache ◽  
Sickness Absence ◽  
Disability Pension ◽  
Comparison Group ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Main Diagnosis ◽  
Full Time ◽  
Aged People ◽  
Headache Patients

ObjectiveTo estimate the prevalence of cluster headache in working-aged people, compare sickness absence rates and disability pension in cluster headache patients to rates in a matched comparison group, and explore associations of sociodemographic factors with such rates.MethodsThrough population-based registers, we identified 3,240 people aged 16–64, living in Sweden in 2010, who at least once during 2001–2010 received inpatient or specialized outpatient health care with cluster headache (ICD-10 code G44.0) as main diagnosis. A comparison group (n = 16,200), matched for age, sex, type of living area, and educational level, from the total population aged 16–64 (n = 5,945,895) was used. Outcomes were sickness absence (>14 days) and disability pension during 2010. Crude and adjusted prevalence rates and odds ratios with 95% confidence intervals were computed.ResultsThe prevalence of cluster headache in working-aged people was 0.054%. In 2010, 17.30% of the cluster headache group and 9.16% of the comparison group had been on sickness absence. In the cluster headache group, female patients had higher sickness absence rates (25.31%) and full-time disability pension (13.17%) than male patients (13.38% and 8.79%). Cluster headache patients older than 35 had higher rates than those of the same age in the comparison group. Further, cluster headache patients born outside Sweden were more likely to have full-time disability pension than patients born in Sweden.ConclusionsMuch higher rates of the patients had sickness absence or disability pension than in the comparison group. Further shown differences related to sex, age, and other sociodemographic factors need to be addressed.

Gender segregation of occupations and sustainable employment: A prospective population-based cohort study

2018 ◽  
Vol 47 (3) ◽  
pp. 348-356 ◽  
Author(s):  
Lena Gonäs ◽  
Anders Wikman ◽  
Marjan Vaez ◽  
Kristina Alexanderson ◽  
Klas Gustafsson
Keyword(s):  
Cohort Study ◽  
Labour Market ◽  
Sickness Absence ◽  
Disability Pension ◽  
Population Based ◽  
Gender Segregation ◽  
Labour Market Situation ◽  
Market Situation ◽  
Male Dominated

Background: Although the labour market is characterized by a strong numerical gender segregation of occupations, there is little knowledge about the associations of this with the future labour market situation for an individual person. Objectives: This study aimed to elucidate whether working in a gender-segregated or gender-integrated occupation is associated with future labour market attachment and sickness absence or disability pensions among women and men. Methods: We used a population-based prospective cohort study with univariate and multiple logistic regression analyses stratified by gender, including all people living in Sweden aged 20–56 years and in paid work in 2003 ( n=3,239,989). They were followed up eight years later with regard to employment status, sickness absence and disability pension. Results: Women and men employed in extremely female-dominated occupations in 2003 had the highest employment levels and the lowest unemployment levels at follow up in 2011. When adjusting for age, level of education and sector of employment, the highest odds ratios (ORs) for not being employed in 2011 were found for women working in extremely male-dominated occupations in 2003 (OR 1.27; 95% CI 1.21–1.33) and for men in female-dominated occupations (OR 1.42; 95% CI 1.39–1.45) relative to those in gender-integrated occupations. Women in extremely male-dominated occupations had the highest ORs for sickness absence or the receipt of a disability pension at follow up (OR 1.26; 95% CI 1.17–1.36) and men in female-dominated occupations had the highest OR 1.15 (95% CI 1.11–1.20). Conclusions: For both women and men, the gender composition of the occupation they work in seems to be of importance for their future labour market attachment and sickness absence or receipt of a disability pension.

scholarly journals Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pia K. Kvillemo ◽  
Lingjing Chen ◽  
Matteo Bottai ◽  
Paolo Frumento ◽  
Gino Almondo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Sickness Absence ◽  
Disability Pension ◽  
Social Insurance ◽  
Statistical Significance ◽  
Sociodemographic Factors ◽  
Population Based ◽  
First Year ◽  
Before And After ◽  
Diagnosis Date

Abstract Background Women’s return to work after diagnosis of breast cancer (BC) is becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. The aim of the study was to explore SA and DP before and after a first BC diagnosis and the possibility to predict new cancer-related SA by using disease-related and sociodemographic factors. Methods A longitudinal register study of the 3536 women in Sweden aged 19–64 with a first BC diagnosis in 2010 was conducted by linkage of five nationwide registers. Particularly, detailed information on SA and DP was obtained from the National Social Insurance Agency. Descriptive statistics on SA and DP 2 years before through 3 years after the BC diagnosis were performed. The risk of having a new SA spell due to BC or BC-related diagnoses was modeled using logistic regression. Results The proportion of women with SA increased during the year following the BC diagnosis date and declined over the next 2 years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell > 14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p < 0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. Conclusions SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted.

scholarly journals Clinically Diagnosed Insomnia and Risk of All-Cause and Diagnosis-Specific Disability Pension: A Nationwide Cohort Study

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Catarina Jansson ◽  
Kristina Alexanderson ◽  
Göran Kecklund ◽  
Torbjörn Åkerstedt
Keyword(s):  
Cohort Study ◽  
Outpatient Care ◽  
Disability Pension ◽  
Cox Regression ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Swedish Population ◽  
Icd 10 ◽  
Specific Incident ◽  
Rate Ratios

Background. Insomnia and disability pension are major health problems, but few population-based studies have examined the association between insomnia and risk of disability pension.Methods. We conducted a prospective nationwide cohort study based on Swedish population-based registers including all 5,028,922 individuals living in Sweden on December 31, 2004/2005, aged 17–64 years, and not on disability or old age pension. Those having at least one admission/specialist visit with a diagnosis of disorders of initiating and maintaining sleep (insomnias) (ICD-10: G47.0) during 2000/2001–2005 were compared to those with no such inpatient/outpatient care. All-cause and diagnosis-specific incident disability pension were followed from 2006 to 2010. Incidence rate ratios (IRRs) and 95% confidence intervals (CIs) were estimated by Cox regression.Results. In models adjusted for prior sickness absence, sociodemographic factors, and inpatient/specialized outpatient care, associations between insomnia and increased risks of all-cause disability pension (IRR 1.35, 95% CI 1.09–1.67) and disability pension due to mental diagnoses (IRR 1.86, 95% CI 1.38–2.50) were observed. After further adjustment for insomnia medications these associations disappeared. No associations between insomnia and risk of disability pension due to cancer, circulatory, or musculoskeletal diagnoses were observed.Conclusion. Insomnia seems to be positively associated with all-cause disability pension and disability pension due to mental diagnoses.

Sickness absence and disability pension following breast cancer – A population-based matched cohort study

The Breast ◽  
2014 ◽  
Vol 23 (6) ◽  
pp. 844-851 ◽  
Author(s):  
Marie Høyer Lundh ◽  
Claudia Lampic ◽  
Karin Nordin ◽  
Johan Ahlgren ◽  
Leif Bergkvist ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Sickness Absence ◽  
Disability Pension ◽  
Population Based ◽  
Matched Cohort ◽  
Matched Cohort Study

scholarly journals Sickness absence and disability pension among women with breast cancer: a population-based cohort study with a predictive model

2019 ◽  
Author(s):  
Pia Kvillemo ◽  
Lingjing Chen ◽  
Matteo Bottai ◽  
Paolo Frumento ◽  
Ellenor Mittendorfer-Rutz ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Sickness Absence ◽  
Disability Pension ◽  
Social Insurance ◽  
Statistical Significance ◽  
Sociodemographic Factors ◽  
Population Based ◽  
First Year ◽  
Before And After ◽  
Diagnosis Date

Abstract Women’s return to work after diagnosis of breast cancer (BC) are becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. The aim of the study was to explore SA and DP before and after a first BC diagnosis and the possibility to predict new cancer-related SA by using disease-related and sociodemographic factors. Methods: A longitudinal register study of the 3536 women in Sweden aged 19-64 with a first BC diagnosis in 2010 was conducted by linkage of multiple national registers. Particularly, information on SA and DP was obtained from the National Social Insurance Agency’s database. Descriptive statistics on SA and DP two years before and three years after the BC diagnosis were performed. The risk of having a new SA spell due to BC or BC-related diagnoses was modeled using logistic regression. Results: The proportion of women with SA increased during the year following the BC diagnosis date and declined over the next two years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell >14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p<0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. Conclusions: SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted.

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