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.

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 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 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.

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 Background: 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. Methods: 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. 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 before and after the BC diagnosis were performed. The risk of being on sickness with 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. Conclusion: 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 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.

scholarly journals Sickness absence and disability pension after carpal tunnel syndrome diagnosis: A register-based study of patients and matched references in Sweden

2021 ◽  
pp. 140349482110027
Author(s):  
Tea Lallukka ◽  
Rahman Shiri ◽  
Kristina Alexanderson ◽  
Jenni Ervasti ◽  
Ellenor Mittendorfer-Rutz ◽  
...  
Keyword(s):  
Health Care ◽  
Carpal Tunnel Syndrome ◽  
Sickness Absence ◽  
Carpal Tunnel ◽  
Disability Pension ◽  
Negative Binomial ◽  
Age Groups ◽  
Negative Binomial Regression ◽  
Sociodemographic Factors ◽  
Tunnel Syndrome

Aims: The aim of this study was to examine sickness absence and disability pension (SA/DP) during working lifespan among individuals diagnosed with carpal tunnel syndrome (CTS) and their matched references, accounting for sociodemographic factors. Methods: We used a register cohort of 78,040 individuals aged 19–60 years when diagnosed with CTS in secondary health care (hospitals and outpatient specialist health care) and their 390,199 matched references from the general population in 2001–2010. Sociodemographic factors and SA/DP net days during a three-year follow-up were included. Negative binomial regression was used. Results: For those not on DP at inclusion, the average number of SA/DP days per person-year was 58 days (95% confidence interval (CI) 56–60 days) among individuals with CTS and 20 days (95% CI 19–21 days) among the matched references. Among both groups, these numbers increased with age and were higher among women than among men. The rate ratio (RR) of SA/DP days was threefold higher among people with CTS than among the matched references (adjusted RR=3.00, 95% CI 2.91–3.10) Moreover, compared to the matched references, the RR for SA/DP was higher among men with CTS (RR=3.86, 95% CI 3.61–4.13) than among women with CTS (RR=2.69, 95% CI 2.59–2.78). The association between CTS and the number of SA/DP days was smaller among older age groups. Sociodemographic factors were similarly associated with SA/DP among people with and without CTS. Conclusions: Numbers of SA/DP days were higher among people with CTS than their matched references in all age groups, particularly among individuals in their early work careers, highlighting public-health relevance of the findings.

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

scholarly journals Sickness absence among privately employed white-collar workers: A total population study in Sweden

2020 ◽  
pp. 140349482093427
Author(s):  
Kristin Farrants ◽  
Kristina Alexanderson
Keyword(s):  
Sickness Absence ◽  
Rural Areas ◽  
White Collar ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Small Towns ◽  
Older Individuals ◽  
Individual Level ◽  
White Collar Workers ◽  
The Individual

Background: Knowledge about sickness absence (SA) and disability pension (DP) among privately employed white-collar workers is very limited. Aims: This study aimed to explore SA and DP among privately employed white-collar women and men using different measures of SA to investigate differences by branch of industry, and to analyse the association between sociodemographic factors and SA. Methods: This was a population-based study of all 1,283,516 (47% women) privately employed white-collar workers in Sweden in 2012, using register data linked at the individual level. Several different measures of SA and DP were used. Logistic regression was used to investigate associations of sociodemographic factors with SA. Results: More women than men had SA (10.9% women vs. 4.5% men) and DP (1.8% women vs. 0.6% men). While women had a higher risk of SA than men and had more SA days per employed person, they did not have more SA days per person with SA than men. The risk of SA was higher for women (odds ratio (OR)=2.54 (95% confidence interval (CI) 2.51–2.58)), older individuals (OR age 18–24 years=0.58 (95% CI 0.56–0.60); age 55–64 years OR=1.43 (95% CI 1.40–1.46) compared to age 45–54 years), living in medium-sized towns (OR=1.05 (95% CI 1.03–1.06)) or small towns/rural areas (OR=1.13 (95% CI 1.11–1.15)), with shorter education than college/university (OR compulsory only=1.64 (95% CI 1.59–1.69); OR high school=1.38 (95% CI 1.36–1.40)), born outside the EU25 (OR=1.23 (95% CI 1.20–1.27)) and singles with children at home (OR=1.33 (95% CI 1.30–1.36)). Conclusions: SA and DP among privately employed white-collar workers were lower than in the general population. SA prevalence, length and risk varied by branch of industry, sex and other sociodemographic factors, however, depending on the SA measure used.

Sickness Absence and Disability Pension After Breast Cancer Diagnosis: A 5-Year Nationwide Cohort Study

2017 ◽  
Vol 35 (18) ◽  
pp. 2044-2052 ◽  
Author(s):  
Pia Kvillemo ◽  
Ellenor Mittendorfer-Rutz ◽  
Richard Bränström ◽  
Kerstin Nilsson ◽  
Kristina Alexanderson
Keyword(s):  
Breast Cancer ◽  
Sickness Absence ◽  
Cancer Diagnosis ◽  
Health Care Professionals ◽  
Disability Pension ◽  
Social Insurance ◽  
Breast Cancer Diagnosis ◽  
Sociodemographic Factors ◽  
Occupational Health Services ◽  
First Year

Purpose To explore future diagnosis-specific sickness absence and disability pension among women with breast cancer compared with women without breast cancer. Also, to examine associations with disease-related and sociodemographic factors among those with breast cancer. Methods Longitudinal register data on 3,547 women living in Sweden (age 20 to 65 years) who were first diagnosed with breast cancer in 2005, and a matched comparison cohort (n = 14,188), were analyzed for the annual prevalence of diagnosis-specific sickness absence and disability pension over 5 years. Logistic regressions were used to explore associations of disease-related and sociodemographic factors with future sickness absence and disability pension among women with breast cancer. Results Immediately after being diagnosed with breast cancer, the proportion of women with sickness absence was high but decreased continuously from the 1st through 5th year after diagnosis (71%, 40%, 30%, 22%, and 19%, respectively). In comparison, the range for women without breast cancer was 17% to 11%, respectively. The higher prevalence of sickness absence after breast cancer was mainly a result of breast cancer diagnosis, not a mental diagnosis, or other somatic diagnoses. Advanced cancer at diagnosis, > 90 days sickness absence before diagnosis, low education, and being born outside Sweden were associated with higher odds ratios for sickness absence and disability pension (odds ratio range, 1.40 to 6.45). Conclusion The level of sickness absence increased substantially in women with breast cancer during the first year after diagnosis and approached the level of breast cancer–free women in the following years; however, even in the first year, most women were not on sickness absence for a substantial time, and even in high-risk groups, many were not on sickness absence or disability pension in the following years. Information about relatively low future sickness absence and disability pension levels can be used by patients when planning their work, by health care professionals, and by social insurance officers. Employers and Occupational Health Services need this information to adequately handle workplace adjustments.

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