scholarly journals Sickness absence and disability pension in relation to first childbirth: three cohorts in Sweden

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
C Bjorkenstam ◽  
C Orellana ◽  
K Laszlo ◽  
P Svedberg ◽  
M Voss ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Sickness Absence ◽  
Young Women ◽  
Disability Pension ◽  
Age Groups ◽  
Population Based ◽  
Multiple Births ◽  
First Birth ◽  
Period Effects ◽  
Before And After

Abstract Background Childbirth is suggested to be associated with elevated levels of sickness absence (SA) and disability pension (DP). However, knowledge about patterns of SA/DP before and after childbirth as compared to patterns among women who remain nulliparous is limited. We aimed to compare SA/DP across several periods among women with different childbirth status. Methods We analysed three population-based cohorts of all women aged 18-39 years who had not previously given birth and who lived in Sweden on 31 December 1994, 1999, or 2004, respectively. We compared crude and standardized annual mean SA and DP net days during three years preceding to three years after the date of first childbirth, among women having (1) their first and only birth during the subsequent three years, (2) their first birth and at least another delivery, and (3) no childbirths before, nor during the study period. Results Despite an increase in SA in the year preceding the first childbirth, women who gave birth, and especially women with multiple births, tended to have lower levels of SA/DP days throughout the years than women without childbirths. SA/DP days varied across age groups; young women (aged 18-24 years) without childbirths had fewer SA days, but more DP days than their same-aged counterparts who gave birth, regardless of year. These results did not differ across the three cohorts, suggesting that the results were not affected by period effects. Conclusions Women with more than one childbirth had fewer days of SA and DP, as compared to women with one childbirth and to women having no births. Thus, childbirth does not seem to be associated with higher levels of SA and DP. Some of these results can be due to a health selection into giving birth, especially having more births. Key messages Except for the year before delivery, i.e., when pregnant, women giving birth had fewer SA and DP days than women with no births. Thus, childbirth does not seem to be associated with higher SA and DP. Women who had more than one childbirth had less SA/DP days than those with one childbirth.

scholarly journals Sickness absence and disability pension before and after first childbirth and in nulliparous women: longitudinal analyses of three cohorts in Sweden

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e031593 ◽  
Author(s):  
Charlotte Björkenstam ◽  
Cecilia Orellana ◽  
Krisztina D László ◽  
Pia Svedberg ◽  
Margaretha Voss ◽  
...  
Keyword(s):  
Sickness Absence ◽  
Disability Pension ◽  
Population Based ◽  
Secondary Outcome ◽  
Detailed Knowledge ◽  
Longitudinal Analyses ◽  
Nulliparous Women ◽  
Before And After ◽  
The Mean

ObjectiveChildbirth is suggested to be associated with elevated levels of sickness absence (SA) and disability pension (DP). However, detailed knowledge about SA/DP patterns around childbirth is lacking. We aimed to compare SA/DP across different time periods among women according to their childbirth status.DesignRegister-based longitudinal cohort study.SettingSweden.ParticipantsThree population-based cohorts of nulliparous women aged 18–39 years, living in Sweden 31 December 1994, 1999 or 2004 (nearly 500 000/cohort).Primary and secondary outcome measuresSum of SA >14 and DP net days/year.MethodsWe compared crude and standardised mean SA and DP days/year during the 3 years preceding and the 3 years after first childbirth date (Y−3to Y+3), among women having (1) their first and only birth during the subsequent 3 years (B1), (2) their first birth and at least another delivery (B1+), and (3) no childbirths during follow-up (B0).ResultsDespite an increase in SA in the year preceding the first childbirth, women in the B1 group, and especially in B1+, tended to have fewer SA/DP days throughout the years than women in the B0 group. For cohort 2005, the mean SA/DP days/year (95% CIs) in the B0, B1 and B1+ groups were for Y−3: 25.3 (24.9–25.7), 14.5 (13.6–15.5) and 8.5 (7.9–9.2); Y−2: 27.5 (27.1–27.9), 16.6 (15.5–17.6) and 9.6 (8.9–10.4); Y−1: 29.2 (28.8–29.6), 31.4 (30.2–32.6) and 22.0 (21.2–22.9); Y+1: 30.2 (29.8–30.7), 11.2 (10.4–12.1) and 5.5 (5.0–6.1); Y+2: 31.7 (31.3–32.1), 15.3 (14.2–16.3) and 10.9 (10.3–11.6); Y+3: 32.3 (31.9–32.7), 18.1 (17.0–19.3) and 12.4 (11.7–13.0), respectively. These patterns were the same in all three cohorts.ConclusionsWomen with more than one childbirth had fewer SA/DP days/year compared with women with one childbirth or with no births. Women who did not give birth had markedly more DP days than those giving birth, suggesting a health selection into childbirth.

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 Smoking during pregnancy in Finland – Trends in the MATEX cohort

2018 ◽  
Vol 47 (8) ◽  
pp. 890-898 ◽  
Author(s):  
Isabell K. Rumrich ◽  
Kirsi Vähäkangas ◽  
Matti Viluksela ◽  
Mika Gissler ◽  
Heljä-Marja Surcel ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Young Women ◽  
Trigger Point ◽  
Age Groups ◽  
Smoking Behaviour ◽  
Smoking Rate ◽  
Female Population ◽  
Smoking During Pregnancy ◽  
Spatial Trends ◽  
Eastern Finland

Aims: In Finland, smoking rates in the general population are decreasing due to increased awareness of the adverse effects and tightened tobacco legislation. However, previous studies have shown that smoking in pregnant Finnish women remained as high as in the general Finnish female population at around 15% in 2010. Our aim was to describe temporal and spatial trends in smoking behaviour, and determinants of changes in smoking behaviour between first and second pregnancy. Methods: Self-reported smoking from the Finnish Medical Birth Register covered the years 1991–2015 ( N=1,435,009). The association of maternal age and socioeconomic status with smoking rate was analysed. Spatial trends were assessed at municipality level. Results: The overall smoking rate during early pregnancy remained fairly stable at around 15% from 1991 to 2015, but increased in teenage and young women below 25 years of age. The mean smoking rate (36%) was higher in these age groups than in older pregnant women (11%). Through the study period the smoking rate remained higher in blue collar workers compared with higher socioeconomic groups. Between the first and second child, on average only 4% of women started to smoke and 41% quitted. Smoking rates developed less favourably in Eastern Finland. Conclusions: The observed increase in smoking rate during pregnancy in teenage and young women is concerning. Pregnancy is a trigger point for smoking cessation in a big fraction of pregnant women. More studies are needed to explain the opposite trends of smoking rates in Northern and Western Finland compared with Eastern Finland.

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.

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