scholarly journals Returning to Work After a Sickness Absence Due to Cancer: A Cohort Study of Salaried Workers in Catalonia (Spain)

Author(s):  
Amaya Ayala-Garcia ◽  
Laura Serra ◽  
Julio C. Hernando-Rodriguez ◽  
Fernando G. Benavides

Abstract Background: Cancer incidence and survival rates have increased in the last decades and as a result, the number of working age people diagnosed with cancer who return to work. In this study the probability of accumulating days of employment and employment participation trajectories (EPTs) in a sample of salaried workers in Catalonia (Spain) who had a sickness absence (SA) due to cancer were compared to salaried workers with SA due to other diagnoses or without SA.Methods: Each individual with SA due to cancer between 2012-2015 was matched by age, sex, and time at risk to a worker with SA due to other diagnoses and another worker without SA. Accumulated days of employment were measured, and negative binomial Poisson models were applied to assess differences between comparison groups. Latent class models were applied to identify EPTs and multinomial regression models to analyse the probability of belonging to one EPT of each group.Results: Men and women without SA or with SA due to other diagnoses had at least a 9% higher probability of continuing in employment compared to workers who had an SA due to cancer, especially among men without SA (adjusted IRR 1.27, 95% CI: 1.06‒1.53). Men without SA had the highest probability of having high stable EPT compared to workers who had an SA due to cancer (adjusted RRR 3.21, 95% CI: 1.87‒5.50). Conclusions: Even though workers with SA due to cancer continue working after an SA, they do it less often than matched controls and with a less stable employment trajectory. Health and social protection systems should guaranty cancer survivors the opportunity to continue voluntary participation in the labour market.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amaya Ayala-Garcia ◽  
Laura Serra ◽  
Julio C. Hernando-Rodriguez ◽  
Fernando G. Benavides

AbstractCancer incidence and survival rates have increased in the last decades and as a result, the number of working age people diagnosed with cancer who return to work. In this study the probability of accumulating days of employment and employment participation trajectories (EPTs) in a sample of salaried workers in Catalonia (Spain) who had a sickness absence (SA) due to cancer were compared to salaried workers with SA due to other diagnoses or without SA. Each individual with SA due to cancer between 2012 and 2015 was matched by age, sex, and onset of time at risk to a worker with SA due to other diagnoses and another worker without SA. Accumulated days of employment were measured, and negative binomial models were applied to assess differences between comparison groups. Latent class models were applied to identify EPTs and multinomial regression models to analyse the probability of belonging to one EPT of each group. Men and women without SA or with SA due to other diagnoses had at least a 9% higher probability of continuing in employment compared to workers who had a SA due to cancer, especially among men without SA (adjusted IRR 1.27, 95% CI 1.06‒1.53). Men without SA had the highest probability of having high stable EPT compared to workers who had a SA due to cancer (adjusted RRR 3.21, 95% CI 1.87‒5.50). Even though workers with SA due to cancer continue working afterwards, they do it less often than matched controls and with a less stable employment trajectory. Health and social protection systems should guaranty cancer survivors the opportunity to continue voluntary participation in the labour market.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Verónica Vitriol ◽  
Alfredo Cancino ◽  
Carlos Serrano ◽  
Soledad Ballesteros ◽  
Marcela Ormazábal ◽  
...  

Objective. To establish differentiated depressive subtypes using a latent class analysis (LCA), including clinical and functional indicators in a sample of depressed patients consulted in Chilean Primary Health Care. Methods. A LCA was performed on a sample of 297 depressed patients consulted in Chilean PHC. The Mini International Neuropsychiatric Interview, the Hamilton Depression Rating Scale, the Outcome Questionnaire -social role, and interpersonal subscales were as instruments. A regression analysis of the different subtypes with sociodemographic and adverse life experiences was performed. Results. In a sample characterized by 87.5% of women, two, three, and four latent class models were obtained. The three-class model likely represents the best clinical implications. In this model, the classes were labeled: “complex depression” (CD) (58% of the sample), “recurrent depression” (RD) (34%), and “single depression episode” (SD) (8%). Members of CD showed a higher probability of history of suicide attempts, interpersonal, and social dysfunction. Psychiatric comorbidities differentiated the RD from SD. According to a multinomial regression model, childhood trauma experiences, recent stressful life experiences, and intimate partner violence events were associated with the CD class ( p < 0.01 ). Limitations. The vast majority of participants were females from Chile and the sample studied was not random. So, the results may not necessarily represent outpatient clinics. Conclusions. This study can provide additional evidence that depression, specifically in female gender, could be better understood as a complex heterogeneous disorder when clinical and functional indicators are studied. Furthermore, adverse life experiences starting in childhood could lead to a differentiated complex depressive subtype.


2020 ◽  
Author(s):  
Moritz Herle ◽  
Andrea Smith ◽  
Feifei Bu ◽  
Andrew Steptoe ◽  
Daisy Fancourt

Background: The COVID-19 pandemic has led to the implementation of stay-at-home and lockdown measures. It is currently unknown if the experience of lockdown leads to long term changes in individual’s eating behaviors.Objective: The objectives of this study were: i) to derive longitudinal trajectories of change in eating during UK lockdown, and ii) to identify risk factors associated with eating behavior trajectories. Design: Data from 22,374 UK adults from the UCL COVID-19 Social study (a panel study collecting weekly data during the pandemic) were analyzed from 28th March to 29th May 2020. Latent Class Growth Analysis was used to derive trajectories of change in eating. These were then associated with prior socio-economic, heath-related and psychological factors using multinomial regression models. Results: Analyses suggested five trajectories, with the majority (64%) showing no change in eating. In contrast, one trajectory was marked by persistently eating more, whereas another by persistently eating less. Overall, participants with greater depressive symptoms were more likely to report any change in eating. Loneliness was linked to persistently eating more (OR= 1.07), whereas being single or divorced, as well as stressful life events, were associated with consistently eating less (OR= 1.69). Overall, higher education status was linked to lower odds of changing eating behavior (OR= 0.54-0.77). Secondary exploratory analyses suggest that participants self-reported to have overweight were most common amongst the consistently overeaters, whereas underweight participants persistently ate less. Conclusion: In this study, we found that one third of the sample report changes in quantities eaten throughout the first UK lockdown period. Findings highlight the importance of adjusting public health programs to support eating behaviors in future lockdowns both in this and potential future pandemics. This is particularly important as part of on-going preventive efforts to prevent nutrition-related chronic diseases.


1994 ◽  
Vol 17 (1) ◽  
pp. 161-200 ◽  
Author(s):  
Juan Pascual-Leone ◽  
Raymond Baillargeon

A dialectical constructivist model of mental attention ("effort") and of working memory is briefly presented, and used to explicate subjects' processing in misleading test items. We illustrate with task analyses of the Figural Intersections Test (FIT). We semantically derive a set of 10 Theoretical Structural Predictions (TSP) that stipulate relations between mental attentional resources (mental-power: Mp) and the systematically varied mental demand of items (mental-demand: Md), as they jointly codetermine probable performance (conditional probabilities of passing and failing). These predictions are evaluated on first approximation using a known family of ordered Latent Class models, all probabilistic versions of Guttman's unidimensional scale. Parameters of these models were estimated using the Categorical Data Analysis System of Eliason (1990). Main results are: (1) Data fit Lazarsfeld's latent-distance model, providing initial support for our 10 predictions; (2) The M-power of children (latent Mp-classes) when assessed behaviourally may increase with age in a discrete manner, and have the potential to generate interval scales of measurement; (3) In the light of our results what statisticians often consider "error of measurement" appears (in part) to be signal, not noise: The organismic signal of misleading (Y-) processes that in their dialectical (trade-off) interaction with success-producing (X-) processes generate performance.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Chen ◽  
K Alexanderson

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.


2021 ◽  
pp. 107780122097880
Author(s):  
Golshan Golriz ◽  
Skye Miner

This article uses the 2008 Egypt Demographic and Health Survey to explore the relationship between religion and women’s attitudes toward intimate partner violence (IPV). It also asks whether modernization, as measured by having a higher education or living in an urban area, can mediate or moderate this relationship. Using latent class analysis to create categories of women’s wife-beating attitudes, and multinomial regression to explore the relationship between religion, education, and urbanity, we find no significant relationship between being Muslim and justifying wife beating. Our data further suggest that neither education nor urbanity mediate or moderate this relationship.


2021 ◽  
Author(s):  
Matthew R. Schofield ◽  
Michael J. Maze ◽  
John A. Crump ◽  
Matthew P. Rubach ◽  
Renee Galloway ◽  
...  

2021 ◽  
pp. 140349482110027
Author(s):  
Tea Lallukka ◽  
Rahman Shiri ◽  
Kristina Alexanderson ◽  
Jenni Ervasti ◽  
Ellenor Mittendorfer-Rutz ◽  
...  

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.


2018 ◽  
Vol 47 (8) ◽  
pp. 859-866 ◽  
Author(s):  
Katariina Hinkka ◽  
Mikko Niemelä ◽  
Ilona Autti-Rämö ◽  
Heikki Palomäki

Aims: The aim of this study was to explore Finnish physicians’ perceptions of sickness absence (SA) certification. Methods: A questionnaire was sent to 50% of the physicians in Finland who provide care to working-age patients in a clinical practice setting. Of the 8867 physicians, 3089 responded. Physicians handling SA certification patients at least a few times per month were included ( n = 2472). Results: At least a few times per month, 61% of all physicians perceived SA issues as problematic, 60% had experienced a lack of time in dealing with SA matters, 36% had disagreed with a patient on SA certification, and 36% had met a patient who wanted a SA certificate for reasons other than a disease or injury. Physicians were least worried about patients filing complaints (4%), exhibiting threatening behaviour (2%), or switching physicians for SA certification reasons (1%). A total of 60% of physicians had prescribed SA for a longer period than necessary because of long waiting times for further care/measures. Non-specialized physicians, general practitioners, and psychiatrists experienced problems more frequently than surgeons and occupational health physicians. Over 50% of the respondents had a fairly large or very large need to deepen their knowledge of social insurance matters. The need for national guidelines for all or some diseases was reported by 80% of the respondents. Conclusions: Many physicians perceive SA tasks as problematic and are unable to dedicate enough time to them. Shortcomings in physicians’ sickness certification know-how, as well as obstacles in the healthcare and rehabilitation system, prolong the SA process. Attitudes towards the adoption of national guidelines on the duration of SA were positive.


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