Return to work after cancer-the impact of working conditions: A Norwegian Register-based Study.

PURPOSE: The purpose of this study is to compare a cohort of cancer survivors with a cohort of cancer-free employees (1) with respect to employment prospects over a 15-year period and (2) with respect to the differential impact of working conditions on employment over this time period. METHODS: The cancer cohort is retrieved from the Cancer Registry of Norway, while data on the non-cancer cohort are retrieved from register data managed by Statistics Norway. Job exposure matrices were used to remedy the lack of working-conditions information in the register data. We use nearest-neighbor matching to match the non-cancer cohort (the control group) to the cancer-survivor cohort (the treatment group). Cox regression analysis was applied to examine the relationships between working conditions, employment, and cancer. The results are reported separately for mechanical-job exposures and psychosocial exposures, as well as by gender. RESULTS: Cancer survivors are more likely to experience reduced employment as compared to individuals without a history of cancer. Male cancer survivors in physically demanding occupations have an increased risk of reduced employment after being diagnosed with cancer. This does not apply to female cancer survivors. Regarding the impact of psychosocial exposures on employment, we find no differences over time between cancer survivors and the non-cancer population. CONCLUSIONS: Male cancer survivors in physically demanding occupations have an increased risk of reduced employment after being diagnosed with cancer, whereas this is not the case for female cancer survivors. Psychosocial exposures do not impact the relative risk of reduced employment over time. IMPLICATIONS FOR CANCER SURVIVORS: We suggest that return to work after cancer should be considered a process rather than only the re-entry step of resuming work. Thus, it is important to provide long-term support for cancer survivors. We recommend providing more attention to working conditions, particularly in occupations that involve a high level of mechanical-job exposures.

Constructing and validating an occupational job strain index based on five Norwegian nationwide surveys of living conditions on work environment.

BACKGROUND: It has been claimed that Nordic register data are a "goldmine" for research. However, one limitation is the lack of information on working conditions. Job exposure matrices (JEMs) are one solution to this problem. Thus, the three aims of this study were (i) to investigate the reliability of an occupation-based psychosocial JEM, i.e., a Job Strain Index (job strain or JSI abbreviated), (ii) to examine the construct and criterion-related validity of this measure of job strain (iii) and assesses the concurrent and the predictive validity of an occupation-based Job Strain Index for use in analyses of Norwegian register data. METHOD: The study utilized five waves of the nationwide Norway Survey of Living Conditions in the Work Environment with a total sample of 43,977 individuals and register data with a total sample of 1,589,535 individuals. Job strain was composed of items belonging to the two dimensions of Karasek's DC model, job demands and job control (1979). The reliability of the JSI and its dimensions and components were investigated by measuring the degree of agreement (Cohen's kappa), sensitivity, specificity, and internal consistency (Cronbach's alpha). Construct validity was assessed by confirmatory factor analysis, and criterion-related validity was measured by concurrent validity and predictive validity. The selected concurrent criteria were self-reported survey information on long-term sick absence, anxiety, depression, and sleeping difficulty. The predictive criteria were register information on receipt of disability benefits, mortality, and long-term sick leave. RESULTS: Agreement between individual and occupation-based job strain and components was fair to poor. The sensitivity and specificity of occupation-based job strain and its components varied from acceptable to low. The consistency of the items comprising job demand and job control was clearly acceptable. Regarding concurrent validity, significant associations between (both individual and occupational) job strain, and long-term sick leave and sleeping difficulty were observed for both genders. Occupation-based job strain indicated an elevated risk for anxiety and depression among men, but not among women. As for predictive reliability, significant associations between occupation-based job strain and all three health outcomes were observed for both men and women. CONCLUSION: Our occupation-based JSI serves as a reliable and valid indicator of psychosocial job exposure that can be used in analyses of Norwegian register data where individual information on such conditions is missing.

Constructing and validating an Occupational Mechanical Job Exposure Index based on five Norwegian nationwide Surveys of Living Conditions on work environment.

BACKGROUND: The overall aim of this study was to examine essential aspects of reliability and validity of a constructed Occupational Mechanical Job Exposure Index for use in analyses of Norwegian register data.  METHODS: We utilized data from the Norwegian nationwide Survey of Living Conditions on work environment in 2006, 2009, 2013, 2016 and 2019. Occupations were classified on a 4-digit level based on the Norwegian version of the International Standard Classification of Occupations (ISCO-88). We constructed a 4-digit correspondence table between the occupational codes used in the 2006 and 2009 surveys (STYRK-98) and the codes used in 2013, 2016 and 2019 (STYRK-08). The mechanical exposures were collected by Statistics Norway using telephone interviews. As for reliability, we examined the agreement between the individual- and the occupational-based mechanical exposures using Cohen's kappa, sensitivity and specificity measures. Construct, concurrent and predictive validity pertaining to the Occupational Mechanical Job Exposure Index were analysed using both survey data and nationwide register data. RESULTS: The analysis shows a fair-to-moderate overlap between occupational-based mechanical exposures and the individually reported exposures. Construct validity of the Occupational Mechanical Job Exposure Index, as estimated by a confirmatory factor analysis using the occupational-based mechanical exposures, showed that the 8 exposures formed one underlying factor. When assessing the concurrent value of the Occupational Mechanical Job Exposure Index to the index based on the individual reported exposures, the occupational mechanical index showed lower and reproducible associations with lower back pain for both men and women. For long-term sick leave, the occupational mechanical index showed higher and reproducible associations for both genders. As for predictive validity, the register data analysis shows that the occupational mechanical index was associated with disability and a higher number of long-term sickness benefits periods for both men and women. For men the index also predicted higher mortality. CONCLUSION: Our tests of reliability and validity of the Occupational Mechanical Job Exposure Index indicate that the index overall has acceptable statistical properties and will be useful in analyses of Norwegian register data where individual information on these types of exposures is missing.

Nordic research on health inequalities: A scoping review of empirical studies published in Scandinavian Journal of Public Health 2000-2021.

AIMS: An important task for the Scandinavian Journal of Public Health is to address health inequality topics. This scoping review characterises Nordic empirical studies within this research field, published 2000-2021 by the Scandinavian Journal of Public Health. METHODS: Original empirical research studies using data from Denmark, Finland, Iceland, Norway and/or Sweden, which linked differences in health or health-related aspects to socioeconomic positions, immigrant status, family structures and/or residential areas, were included in the review. The initial search in the Web of Science article database resulted in 294 possibly relevant articles, and 171 were judged to comply with our criteria. RESULTS: Only one study was based on qualitative data, while all others used either surveys or register data, or both in combination. A wide variety of outcomes was addressed. Most studies had a social causation design, but 16 studies analysed health-related mobility processes and four reported intervention results. The most common statistical method was logistic regression. Poisson, Cox and ordinary least squares regression were less used. Few studies engaged explicitly with health inequality theories or with rigorous causality designs. CONCLUSIONS: The empirical health inequality studies published by the Scandinavian Journal of Public Health are rich sources for knowledge on a large array of health and health-related inequalities in Nordic countries. Drawbacks are underuse of qualitative data, few theoretical discussions and lack of studies assessing effects of interventions and policies.

Impact of growing up with somatic long-term health challenges on school completion, NEET status and disability pension: a population-based longitudinal study.

BACKGROUND: Young adulthood is an important transitional life phase that can determine a person's educational and employment trajectories. The aim of this study was to examine the impact of somatic long-term health challenges in adolescence on upper secondary school completion, not in education, employment or training (NEET status) and receiving disability pension in early adulthood. Additional disparities in educational and employment achievements were also investigated in relation to socioeconomic background. METHODS: The sample consisted of all young adults born in the period 1990 to 1996, (N = 421,110). Data were obtained from the Norwegian Patient Registry which is linked to the Central Population Register, education and income registries and the Historical Event Database in Statistics Norway. These data sources provide longitudinal population data. Statistical analyses were performed using multiple logistic regression and computed average marginal effects after the multiple logistic regression. RESULTS: The results showed that, compared to young adults without long-term health challenges, young adults with the diagnoses inflammatory bowel disease, epilepsy, diabetes, sensory impairment, spinal muscular atrophy (SMA), spina bifida (SB) and cerebral palsy (CP) had lower odds of completing upper secondary education. Moreover, young adults with long-term health challenges had higher odds of NEET status by age 21 compared to those without a long-term health challenge. As for the odds of NEET status by age 21, the results showed that young adults with epilepsy, SMA, SB and CP in particular had the highest odds of receiving disability pension compared to young adults without long-term health challenges. CONCLUSIONS: This longitudinal study revealed that on average young adults with long-term health challenges, compared to those without, struggle to participate in education and employment. The findings highlight the need for preventive measures especially in relation to young adults with neurological conditions such as epilepsy, SMA, SB, and CP.

Differences in income trajectories according to psychological distress and pain: A longitudinal study among Norwegian social assistance recipients.

Aim: Mental diseases and pain are serious public health problems and are a leading cause of disability worldwide. The aim of this study is to describe how pain and psychological distress separately and in combination are associated with four income trajectories over nine years in a cohort of long-term social assistance recipients (LTRs). Methods: A cohort of 456 LTRs from 14 municipalities in Norway were divided into four groups based on the presence or absence of pain and/or psychological distress. These were surveyed in 2005, and later linked by personal identification numbers to high-quality longitudinal administrative data covering the period 2005-2013. Methods include calculation of income statuses based on main sources of income, and multinomial logistic regression analysis. Results: In the group without pain and psychological distress, earnings from work as main source of income (14.6-38.0%) and disability benefits (2.9-16.1%) increased over the period. In the 'double burden' group the proportions who had social assistance as main income decreased (68.2-21.5%) and the proportions with disability benefits increased over time (5.6-36.6%). Only 27.2% of the total sample had earnings from work as their main income in 2013. Conclusion: LTRs are extra burdened by pain and psychological distress, and this has consequences for their life opportunities and income trajectories. This study indicates that the primary goal of the social assistance system, to make the clients self-sufficient, is hard to achieve. A better co-operation between health services and work-related services is needed.

Disentangling the dynamics of social assistance: A linked survey-Register data cohort study of long-term social assistance recipients in Norway.

Social assistance is a means-tested benefit that is supposed to be a short-term, temporary economic support. Understanding why some individuals are in repeated or continuous need of social assistance is thus of obvious policy relevance, but the dynamics of social assistance receipt remain poorly understood. In 2005, a survey among long-term recipients of social assistance in Norway collected data on (a) childhood disadvantages, (b) health status, (c) health behaviors, (d) psychological resources, and (e) social ties, in addition to basic sociodemographic information. This rich survey data has been linked with tax register data from 2005-2013, enabling us to explore the detailed characteristics of long-term social assistance recipients who are unable to reach financial self-sufficiency. Results from linear probability models show that surprisingly few of the 28 explanatory variables are statistically associated with social assistance dynamics, with two important exceptions: People with drug problems and immigrants both have a much higher probability of social assistance receipt. Yet overall, it is challenging to 'predict' social assistance dynamics, indicating that randomness most likely plays a non-negligible role. The 28 explanatory variables do a far better job in predicting both labor market success (employment), labor market preparation (work assessment allowance), and labor market withdrawal (disability benefit utilization). Thus, there seems to be something distinctive about the processes leading to continued social assistance recipiency, where randomness could be a more influential force.

29 recommendations to combat social inequalities in health. The Norwegian Council on Social Inequalities in Health.

All political parties in Norway agree that social inequalities in health comprise a public health problem and should be reduced. Against this background, the Council on Social Inequalities in Health has taken action to provide specific advice to reduce social health differences. Our recommendations focus on the entire social gradient rather than just poverty and the socially disadvantaged. By proposing action on the social determinants of health such as affordable child-care, education, living environments and income structures, we aim to facilitate a possible re-orientation of policy away from redistribution to universalism. The striking challenges of the causes of health differences are complex, and the 29 recommendations to combat social inequality of health demand cross sectorial actions. The recommendations are listed thematically and have not been prioritized. Some are fundamental and require pronounced changes across sectors, whereas others are minor and sector-specific.

Socioeconomic inequalities in health during the Great Recession: A scoping review of the research literature.

Aims: The so-called 'Great Recession' in Europe triggered widespread concerns about population health, as reflected by an upsurge in empirical research on the health impacts of the economic crisis. A growing body of empirical studies has also been devoted to socioeconomic inequalities in health during the Great Recession. The aim of the current study is to summarise this health inequality literature by means of a scoping review. Methods: We have performed a scoping review of the research literature (English language) published in the years 2012-2017. Only empirical papers with (a) health status measured on the individual level, (b) information on socioeconomic position (i.e. employment status, educational level, income/wealth, and/or occupational class), and (c) data from European countries in both pre- and post-crisis years were considered relevant. In total, 49 empirical studies fulfilled these inclusion criteria. Results: The empirical findings in the 49 included studies predominantly show that socioeconomic inequalities in health either increased or remained stable from pre- to post-crisis years. Two-thirds (65%) of the studies found evidence of either increasing or partially increasing health inequalities. Thus, people in lower socioeconomic strata fared worse overall in terms of health during the Great Recession, compared to people with higher socioeconomic status. Conclusions: The Great Recession in Europe tends to be followed by increasing socioeconomic inequalities in health. Policymakers should take note of this finding. Widening socioeconomic inequalities in health is a major cause of concern, in particular if health deterioration among 'vulnerable groups' is caused by accelerating cumulative disadvantages.

European health inequality through the 'Great Recession': social policy matters.

This paper investigates the association between the Great Recession and educational inequalities in self-rated general health in 25 European countries. We investigate four different indicators related to economic recession: GDP; unemployment; austerity and a 'crisis' indicator signifying severe simultaneous drops in GDP and welfare generosity. We also assess the extent to which health inequality changes can be attributed to changes in the economic conditions and social capital in the European populations. The paper uses data from the European Social Survey (2002-2014). The analyses include both cross-sectional and lagged associations using multilevel linear regression models with country fixed effects. This approach allows us to identify health inequality changes net of all time-invariant differences between countries. GDP drops and increasing unemployment were associated with decreasing health inequalities. Austerity, however, was related to increasing health inequalities, an association that grew stronger with time. The strongest increase in health inequality was found for the more robust 'crisis' indicator. Changes in trust, social relationships and in the experience of economic hardship of the populations accounted for much of the increase in health inequality. The paper concludes that social policy has an important role in the development of health inequalities, particularly during times of economic crisis.

Tackling health inequality at the local level: Some critical reflections on the future of Norwegian policies.

AIM: In this paper we discuss recent developments in the policy to reduce health inequalities in Norway in relation to challenges and opportunities associated with tackling health inequality at the local level. METHODS: We discuss government documents and research findings on the implementation of policies to diminish health inequalities at the municipality level. Recent policy developments are briefly reviewed in relation to the 10-year strategy to reduce health inequalities passed by the Parliament in 2007. We then identify opportunities and obstacles to successful action on health inequalities at the local level. RESULTS: The 2012 Public Health Act represented a powerful reinforcement of the strategy to reduce health inequalities at all three levels of government: the national, the regional and the local. However, some aspects of the policies pursued by the current government are likely to make local action to tackle health inequality an uphill struggle. In particular, health equity policies that have hitherto been based on universalism and had a focus on the gradient seem to be running out of fuel. Other challenges are an insufficient capacity for effective action particularly in smaller municipalities, and a rather weak knowledge base, including systems to monitor social inequalities and a general lack of evaluations of trials and new initiatives. CONCLUSIONS: We conclude that the Public Health Act opened up many new opportunities, but that a number of municipalities face obstacles that they need to overcome to tackle health inequalities comprehensively. Furthermore, local efforts need to be coupled with sustained national momentum to be efficient.

A fuzzy set approach to economic crisis, austerity and public health. Part I. European countries' conformity to ideal types during the economic downturn.

AIMS: This is the first part of a two-part paper that takes an explorative approach to assess crisis and austerity in European countries during the Great Recession. The ultimate aim of this two-part paper is to explore the "crisis-austerity" thesis by Stuckler and Basu and assess whether it is the interplay between austerity and crisis, rather than the current economic crisis per se, that can led to deterioration in population health. In Part I of this paper we offer one way of operationalizing crisis severity and austerity. We examine countries as specific configurations of crisis and policy responses and classify European countries into "ideal types." METHODS: Cases included were 29 countries participating in the European Union Statistics on Income and Living Conditions (EU-SILC) surveys. Based on fuzzy set methodology, we constructed two fuzzy sets, "austerity" and "severe crisis." Austerity was measured by changes in welfare generosity; severe crisis was measured by changes in gross domestic product (GDP) per capita growth. RESULTS: In the initial phase of the Great Recession, most countries faced severe crisis combined with no austerity. From 2010-2011 onward, there was a divide between countries. Some countries consistently showed signs of austerity policies (with or without severe crisis); others consistently did not. CONCLUSIONS: The fuzzy set ideal-type analysis shows that the European countries position themselves, by and large, in configurations of crisis and austerity in meaningful ways that allow us to explore the "crisis-austerity" thesis by Stuckler and Basu. This exploration is the undertaking of Part II of this paper.

A fuzzy set approach to economic crisis, austerity and public health. Part II: How are configurations of crisis and austerity related to changes in population health across Europe?

AIMS: Based on the ideal type classification of European countries done in Part I of this paper, Part II explores whether the real 'danger' to public health is the interplay between austerity and crisis, rather than recession itself. METHODS: We constructed two fuzzy sets of changes in population health based on a pooled file of European Union Statistics on Income and Living Conditions (EU-SILC) data (2008 and 2013) including 29 European countries. The linear probability analyses of 'limiting long-standing illness' and 'less than good' health were restricted to the age group 20-64 years. We performed fuzzy set qualitative comparative analysis (fsQCA) and studied whether configurations of 'severe crisis' and 'austerity' were linked to changes in population health. RESULTS: Overall, the results of this fsQCA do not support the 'crisis-austerity' thesis. Results on 'less than good' health were highly inconsistent, while results on 'limiting long-standing illness', contrary to the thesis, showed a two-path model. Countries with either no severe crisis or no austerity were subsets of the set of countries that experienced deteriorated health. Results also show that several countries combined both paths. CONCLUSIONS: This fuzzy set analysis does not support Stuckler and Basu's 'crisis-austerity' thesis, as those European countries that experienced recession and austerity were not consistently the countries with deteriorating health. There may be multiple reasons for this result, including analytical approach and operationalization of key concepts, but also resilient forces such as family support. We suggest more research on the topic based on more recent data and possibly other, or more, dimensions of austerity.

Shape of the association between income and mortality: a cohort study of Denmark, Finland, Norway and Sweden in 1995 and 2003.

OBJECTIVES: Prior work has examined the shape of the income-mortality association, but work has not compared gradients between countries. In this study, we focus on changes over time in the shape of income-mortality gradients for 4 Nordic countries during a period of rising income inequality. Context and time differentials in shape imply that the relationship between income and mortality is not fixed. SETTING: Population-based cohort study of Denmark, Finland, Norway and Sweden. PARTICIPANTS: We collected data on individuals aged 25 or more in 1995 (n=12.98 million individuals, 0.84 million deaths) and 2003 (n=13.08 million individuals, 0.90 million deaths). We then examined the household size equivalised disposable income at the baseline year in relation to the rate of mortality in the following 5 years. RESULTS: A steep income gradient in mortality in men and women across all age groups except the oldest old in Denmark, Finland, Norway and Sweden. From the 1990s to 2000s mortality dropped, but generally more so in the upper part of the income distribution than in the lower part. As a consequence, the shape of the income gradient in mortality changed. The shift in the shape of the association was similar in all 4 countries. CONCLUSIONS: A non-linear gradient exists between income and mortality in most cases and because of a more rapid mortality decline among those with high income the income gradient has become steeper over time.

Individual-level changes in self-rated health before and during the economic crisis in Europe.

BACKGROUND: Changes over time in self-rated health (SRH) are increasingly documented during the current economic crisis, though whether these are due to selection, causation, or methodological artefacts is unclear. This study accordingly investigates changes in SRH, and social inequalities in these changes, before and during the economic crisis in 23 European countries. METHODS: We used balanced panel data, 2005-2011, from the European Union Statistics on Income and Living Conditions (EU-SILC). We included the working-age population (25-60 years old) living in 23 European countries. The data cover 65,618 respondents, 2005-2007 (pre-recession cohort), and 43,188 respondents, 2008-2011 (recession cohort). The data analyses used mixed-effects ordinal logistic regression models considering the degree of recession (i.e., pre, mild, and severe). RESULTS: Individual-level changes in SRH over time indicted a stable trend during the pre-recession period, while a significant increasing trend in fair and poor SRH was found in the mild- and severe-recession cohorts. Micro-level demographic and socio-economic status (SES) factors (i.e., age, gender, education, and transitions to employment/unemployment), and macro-level factors such as welfare generosity are significantly associated with SRH trends across the degrees of recession. CONCLUSIONS: The current economic crisis accounts for an increasing trend in fair and poor SRH among the general working-age population of Europe. Despite the general SES inequalities in SRH, the health of vulnerable groups has been affected the same way before and during the current recession.

Unemployment and health selection in diverging economic conditions: Compositional changes? Evidence from 28 European countries.

UNLABELLED: Unemployment and health selection in diverging economic conditions: Compositional changes? Evidence from 28 european countries. INTRODUCTION: People with ill health tend to be overrepresented among the unemployment population. The relationship between health and unemployment might, however, be sensitive to the overall economic condition. Specifically, the health composition of the unemployment population could change dramatically when the economy takes a turn for the worse. METHODS: Using EU-SILC cross sectional data from 2007 (pre-crisis) and 2011 (during crisis) and linear regression models, this paper investigates the relationship between health and unemployment probabilities under differing economic conditions in 28 European countries. The countries are classified according to (i) the level of and (ii) increase in unemployment rate (i.e. >10 percent and doubling of unemployment rate = crisis country). RESULTS: Firstly, the unemployment likelihood for people with ill health is remarkably stable over time in Europe: the coefficients are very similar in pre-crisis and crisis years. Secondly, people with ill health have experienced unemployment to a lesser extent than those with good health status in the crisis year (when we pool the data and compare 2007 and 2011), but only in the countries with a high and rising unemployment rate. CONCLUSION: The health composition of the unemployment population changes significantly for the better, but only in those European countries that have been severely hit by the current economic crisis.

Prospective register-based study of the impact of immigration on educational inequalities in mortality in Norway.

BACKGROUND: Differences in mortality with regard to socioeconomic status have widened in recent decades in many European countries, including Norway. A rapid upsurge of immigration to Norway has occurred since the 1990s. The article investigates the impact of immigration on educational mortality differences among adults in Norway. METHODS: Two linked register-based data sets are analyzed; the first consists of all registered inhabitants aged 20-69 in Norway January 1, 1993 (2.6 millions), and the second of all registered inhabitants aged 20-69 as of January 1, 2008 (2.8 millions). Deaths 1993-1996 and 2008-2011, respectively, immigrant status, and other background information are available in the data. Mortality is examined by Cox regression analyses and by estimations of age-adjusted deaths per 100,000 personyears. RESULTS: Both relative and absolute educational inequality in mortality increased from the 1993-1996 period to 2008-2011, but overall mortality levels went down during these years. Immigrants in general, and almost all the analyzed immigrant subcategories, had lower mortality than the native majority. This was due to comparatively low mortality among lower educated immigrants, while mortality among higher educated immigrants was similar to the mortality level of highly educated natives. CONCLUSIONS: The widening of educational inequality in mortality during the 1990s and 2000s in Norway was not due to immigration. Immigration rather contributed to slightly lower overall mortality in the population and a less steep educational gradient in mortality.