The effects of individual taxable income, household taxable income, and household disposable income on mortality in Finland, 1998–2004

The relationship of income on stroke incidence in Finland and China

BACKGROUND

Stroke incidence has continued to increase recently in most countries. The roles of individual-level income on the incidence of overall stroke and its subtypes are still unknown, especially in low- and middle-income countries and the cross-national evidence is also limited. We explored the association between individual-level income and stroke incidence in Finland and China.

METHODS

Changde Social Health Insurance Database (N=571 843) and Finnish population register (N=4 046 205) data were used to calculate standard stroke incidence rates, which were employed to assess the absolute incidence difference between income quintiles. Cox regression was used to compare income differences in first-ever stroke incidence.

RESULTS

The highest income quintile had lower overall and subtype stroke incidence when compared to lower-income quintiles. The relative difference was more evident in hemorrhagic stroke incidence. After adjusting for age and employment status, the disparity of stroke incidence between the lowest and highest income quintiles was high among both men and women and in Finland and China. The disparity was particularly notable among men: in Finland, the hazard ratio (HR) for hemorrhagic stroke was 0.633 [95% confidence interval (95% CI) 0.576-0.696] and HR 0.572 (95% CI 0.540-0.606) for ischemic stroke. The respective figures were HR 0.452 (95% CI 0.276-0.739) and HR 0.633 (95% CI 0.406-0.708) for China.

CONCLUSIONS

Individual-level income is related to overall and subtype stroke incidence. Future studies should explore the causal relationship between individual-level income and stroke incidence.

Income differences in partial life expectancy between ages 35 and 64 from 1988 to 2017: the contribution of living arrangements

BACKGROUND

Socioeconomic differences in mortality among the working-age population have increased in several high-income countries. The aim of this study was to assess whether changes in the living arrangement composition of income groups have contributed to changing income differences in life expectancy during the past 30 years.

METHODS

We used Finnish register data covering the total population to calculate partial life expectancies between ages 35 and 64 by income quartile in 1988-2017. The contribution of living arrangements to these differences was assessed by direct standardization. Decomposition methods were used to determine the extent of life expectancy differences due to external (accidental, violent and alcohol-related) causes of death.

RESULTS

The life expectancy gap between the highest and lowest income quartile increased until 2003-07, but decreased thereafter. The contribution of living arrangements to these differences remained mostly stable: 36-39% among men and 15-23% among women. Those living without children consistently showed the greatest life expectancy differences by income. External causes of death significantly contributed to income differences in life expectancy.

CONCLUSIONS

The living arrangement composition of income groups explained part of the differences in life expectancy, but not their changes. Our results on the contribution of external causes of death imply that both the persistent income gradient in mortality as well as the mortality disparities by living arrangements are at least partially related to similar selection or causal mechanisms.

Long-term trends in urban-neighbourhood inequalities in cause-specific mortality and hospitalisation - multilevel analyses among individuals nested in Finnish post-code areas, 1991-2018

Background

High-income countries yield mixed evidence concerning the long-term trends of neighbourhood inequalities in health outcomes. The reasons why these inequalities persist and the factors driving any changes over time remain unclear. We analysed trends in general neighbourhood differences in mortality and hospitalisation, compared specific area-level and individual-level income effects, and assessed whether area-level effects were attributable to the neighbourhood population composition.

Methods

This prospective cohort study used individual-level register-linked information on sociodemographic factors covering the total population of 20-64-year-olds living in Finnish cities at the beginning of seven four-year periods in 1991-2018 (N = 952,493-1,200,431). We used random-effects Poisson models to assess all-cause and external mortality and hospitalisations among individuals nested in postal-code areas.

Results

The general contextual effect of the neighbourhood on all-cause mortality and hospitalisation was stable across time, with a median incidence-rate ratio of around 1.20-1.30, and it was mainly attributable to the population's composition. The association between area-level income and both mortality and hospitalisation was also robust and increased slightly even after accounting for population composition. The lowest neighbourhood income quintile in 2015-2018 had 15% (95% CI:5-26%) and 30% (95% CI:15-47%) excess mortality among men and women, respectively. These differentials were particularly large for external causes, but all area-level income associations were much smaller than the corresponding individual-level associations.

Conclusion

The overall relevance of the neighbourhood context to mortality and hospitalisation was stable across time, and generally attributable to population composition. However, there were substantial relative area-level income disparities between neighbourhoods, which had grown over time.

A systematic review protocol of quantitative instruments of income inequality in studies of children and adolescents

Background: Income inequality is an important indicator of socioeconomic position which is a determinant of social, psychological, and physical health outcomes from childhood to adulthood. Different income inequality instruments (metrics) are used to investigate associations between income inequality and health outcomes (e.g. Gini coefficient). Income inequality instruments provide unique information on the construct of socioeconomic inequality. Albeit there is variation in studies as to the type and rationale for using a particular quantitative instrument of income inequality. The aim of this systematic review will be to investigate and identify the most used quantitative income inequality instrument in studies of children and adolescents up to 18 years of age.  

Methods: The PRISMA-P framework will be applied to identify high quality articles (PROSPERO: CRD42021259114). A search will be conducted in PubMed, Embase, and PsycINFO. The search will include studies concerned with income inequality and/or socioeconomic inequality in children and adolescents. All articles will be independently reviewed, data extracted, and quality appraised by two

reviewers and a third to arbitrate disputes. Articles will be reviewed by title and abstract using inclusion criteria. A data extraction form will be used. Three questions will assess the quality of the rationale for using a particular income inequality instrument and the Newcastle-Ottawa Scale will be used to assess bias

and quality. The primary outcome of interest is the type and frequency of quantitative income inequality instruments used and the study outcome associated with that income inequality instrument. 

Conclusions: This systematic review will aim to provide a summary of the different types of quantitative income inequality instruments used in studies of child and adolescent populations. This will help to guide researchers and policy makers on the use of income inequality metrics in future studies aimed at understanding associations with health and social outcomes in children and adolescents.

What have we learned about mortality patterns over the past 25 years?

In this paper, I examine progress in the field of mortality over the past 25 years. I argue that we have been most successful in taking advantage of an increasingly data-rich environment to improve aggregate mortality models and test pre-existing theories. Less progress has been made in relating our estimates of mortality risk at the individual level to broader mortality patterns at the population level while appropriately accounting for contextual differences and compositional change. Overall, I find that the field of mortality continues to be highly visible in demographic journals, including Population Studies. However much of what is published today in field journals could just as easily appear in neighbouring disciplinary journals, as disciplinary boundaries are shrinking.

The impact of income definitions on mortality inequalities

Income is a strong predictor of adult mortality. Measuring income is not as simple as it may sound. It can be conceptualized at the individual or the household level, with the former better reflecting an individual's earning ability, and the latter better capturing living standards. Furthermore, respondents are often grouped into income categories based on their positions in the income distribution, and this operationalization can be done on the basis of age-specific or total population income distributions. In this study, we look at how four combinations of different conceptualizations (individual vs. household) and operationalizations (age-specific vs. total population) of income can affect mortality inequality estimates. Using Finnish registry data, we constructed period life tables for ages 25+ from 1996 to 2017 by gender and for four income definitions. The results indicated that the slope index of inequality for life expectancy varied by 1.1-5.7 years between income definitions, with larger differences observed for women than for men. The overall age patterns of relative index of inequality for mortality rates yielded by the four definitions were similar, but the levels differed. The period trends across income definitions were consistent for men, but not for women. We conclude that researchers should pay particular attention to the choice of the income definitions when analyzing the association between income and mortality, and when comparing the magnitude of inequality across studies and over time.

Dimensions of Social Stratification and Their Relation to Mortality: A Comparison Across Gender and Life Course Periods in Finland

Differences in mortality between groups with different socioeconomic positions (SEP) are well-established, but the relative contribution of different SEP measures is unclear. This study compares the correlation between three SEP dimensions and mortality, and investigates differences between gender and age groups (35-59 vs. 60-84). We use an 11% random sample with an 80% oversample of deaths from the Finnish population with information on education, occupational class, individual income, and mortality (n = 496,658; 274,316 deaths between 1995 and 2007). We estimate bivariate and multivariate Cox proportional hazard models and population attributable fractions. The total effects of education are substantially mediated by occupation and income, and the effects of occupation is mediated by income. All dimensions have their own net effect on mortality, but income shows the steepest mortality gradient (HR 1.78, lowest vs. highest quintile). Income is more important for men and occupational class more important among elderly women. Mortality inequalities are generally smaller in older ages, but the relative importance of income increases. In health inequality studies, the use of only one SEP indicator functions well as a broad marker of SEP. However, only analyses of multiple dimensions allow insights into social mechanisms and how they differ between population subgroups.

Males' Later-Life Mortality Consequences of Coresidence With Paternal Grandparents: Evidence From Northeast China, 1789-1909

In this study, we investigate the effect of early-life coresidence with paternal grandparents on male mortality risks in adulthood and older age in northeast China from 1789 to 1909. Despite growing interest in the influence of grandparents on child outcomes, few studies have examined the effect of coresidence with grandparents in early life on mortality in later life. We find that coresidence with paternal grandmothers in childhood is associated with higher mortality risks for males in adulthood. This may reflect the long-term effects of conflicts between mothers and their mothers-in-law. These results suggest that in extended families, patterns of coresidence in childhood may have long-term consequences for mortality, above and beyond the effects of common environmental and genetic factors, even when effects on childhood mortality are not readily apparent.

Children's educational attainment, occupation, and income and their parents' mortality

Using data from Finland, this paper contributes to a small but growing body of research regarding adult children's education, occupation, and income and their parents' mortality at ages 50+ in 1970-2007. Higher levels of children's education are associated with 30-36 per cent lower parental mortality at ages 50-75, controlling for parents' education, occupation, and income. This association is fully mediated by children's occupation and income, except for cancer mortality. Having at least one child educated in healthcare is associated with 11-16 per cent lower all-cause mortality at ages 50-75, an association that is largely driven by mortality from cardiovascular diseases. Children's higher white-collar occupation and higher income is associated with 39-46 per cent lower mortality in the fully adjusted models. At ages 75+, these associations are much smaller overall and children's schooling remains more strongly associated with mortality than children's occupation or income.

The reciprocal relationship between material factors and health in the life course: evidence from SHARE and ELSA

The widely established health differences between people with greater economic resources and those with fewer resources can be attributed to both social causation (material factors affecting health) and health selection (health affecting material wealth). Each of these pathways may have different intensities at different ages, because the sensitivity of health to a lack of material wealth and the degree to which health can influence economic resources may change. We study the relative importance, in terms of explanatory power, of social causation and health selection, comparing the transitions from childhood to adulthood and from adulthood to old age. We use retrospective survey data from ten European countries from the Survey of Health, Ageing and Retirement in Europe (SHARELIFE, n = 18,734) and the English Longitudinal Study of Ageing (ELSA, n = 6117), and structural equations models in a cross-lagged panel design. Material wealth and health depend on their prior status, wealth more so than health. In the transition from childhood to adulthood, social causation and health selection are equally important: the standardized coefficients for men in SHARE are 0.07 and 0.06, respectively, i.e. one standard deviation increase in material wealth in childhood is associated with a 0.07 standard deviation increase in adult health. In the transition from adulthood to old age, social causation is more important than health selection (0.52 vs. 0.01), across gender and data sets. Both pathways contribute to the creation of health inequalities—however, their relative importance changes with age, which is important for understanding how health inequalities develop and how policies can address them.

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.

Effects of Individual, Spousal, and Offspring Socioeconomic Status on Mortality Among Elderly People in China

BACKGROUND

The relationship between socio-economic status and health among elderly people has been well studied, but less is known about how spousal or offspring's education affects mortality, especially in non-Western countries. We investigated these associations using a large sample of Chinese elderly.

METHODS

The data came from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from the years 2005 to 2011 (n = 15 355, aged 65-105 years at baseline; 5046 died in 2008, and 2224 died in 2011). Educational attainment, occupational status, and household income per capita were used as indicators of socio-economic status. Spousal and offspring's education were added into the final models. The Cox proportional hazards model was used to study mortality risk by gender.

RESULTS

Adjusted for age, highly educated males and females had, on average, 29% and 37% lower mortality risk, respectively, than those with a lower education. Particularly among men, this effect was observed among those whose children had intermediate education only. A higher household income was also associated with lower mortality risk among the elderly. Male elderly living with a well-educated spouse (HR 0.79; 95% CI, 0.64-0.99) had a lower mortality risk than those living with a low-educated spouse.

CONCLUSIONS

Both the socio-economic status of the individual and the educational level of a co-resident spouse or child are associated with mortality risk in elderly people. The socio-economic position of family members plays an important role in producing health inequality among elderly people.

The contribution of education, social class and economic activity to the income-mortality association in alcohol-related and other mortality in Finland in 1988-2012

AIMS

First, to quantify trends in the contribution of alcohol-related mortality to mortality disparity in Finland by income quintiles. Secondly, to estimate the degree to which education, social class and economic activity explain the income-mortality association in alcohol-related and other mortality in four periods within 1988-2012.

DESIGN

Register-based longitudinal study using an 11% random sample of Finnish residents linked to socio-economic and mortality data in 1988-2012 augmented with an 80% sample of all deaths during 1988-2007. Mortality rates and discrete time survival regression models were used to assess the income-mortality association following adjustment for covariates in 6-year periods after baseline years of 1988, 1994, 2001, and 2007.

SETTING

Finland.

PARTICIPANTS

Individuals aged 35-64 years at baselines. For the four study periods for men/women, the final data set comprised, respectively, 26,360/12,825, 22,561/11,423, 20,342/11,319 and 2651/1514 deaths attributable to other causes and 7517/1217, 8199/1450, 9807/2116, 1431/318 deaths attributable to alcohol-related causes.

MEASUREMENTS

Alcohol-related deaths were analysed with household income, education, social class and economic activity as covariates.

FINDINGS

The income disparity in mortality originated increasingly from alcohol-related causes of death, in the lowest quintile the contribution increasing from 28 to 49% among men and from 11 to 28% among women between periods 1988-93 and 2007-12. Among men, socio-economic characteristics attenuated the excess mortality during each study period in the lowest income quintile by 51-62% in alcohol-related and other causes. Among women, in the lowest quintile the attenuation was 47-76% in other causes, but there was a decreasing tendency in the proportion explained by the covariates in alcohol-related mortality.

CONCLUSIONS

The income disparity in mortality among working-age Finns originates increasingly from alcohol-related causes of death. Roughly half the excess mortality in the lowest income quintile during 2007-12 is explained by the covariates of household income, education, social class and economic activity.

Unobserved Heterogeneity of Frailty in the Analysis of Socioeconomic Differences in Health and Mortality

The concepts of unobserved frailty and selection have been extensively analyzed with respect to phenomena like mortality deceleration at old ages and mortality convergence or cross overs between populations (for example American black and white populations, men and women). Despite the long-time observation of converging mortality risks in differential socioeconomic mortality research, the interest in the connection between frailty, selection, and health and mortality inequalities over a life course approach has increased only recently. This overview of the literature summarizes the main concepts of unobserved frailty and socioeconomic differences in mortality and how frailty and selection relate to these differences at old ages. It then reviews the evidence coming from the existing studies. Although the number of studies is still limited, the body of research on unobserved frailty and socioeconomic inequalities in health and mortality in a life course approach is growing. The results, however, are contradictory, and whether selection plays a major role in shaping the observed socioeconomic mortality patterns at old ages is still controversial.

Childhood family background and mortality differences by income in adulthood: fixed-effects analysis of Finnish siblings

BACKGROUND

Events and conditions during childhood have been found to affect health and mortality at later stages in life. We studied whether childhood conditions explain the observed all-cause and cause-specific mortality disparity between income groups in adulthood.

METHODS

We used a 10% register linked sample of Finnish households in the 1950 census identifying 51 647 children aged 0-14 with at least one sibling of the same sex and followed them for mortality from the age 35 until ages 57-72. Using Cox regression with sibling design, we estimated hazard ratios (HRs) for quintiles of personal income at the age 35. We controlled for observed childhood family sociodemographic characteristics and allowed different baseline hazard functions for each group of siblings in order to control for all shared unobserved characteristics within families.

RESULTS

Accounting for the observed childhood characteristics did not attenuate the income disparity in mortality, whereas adjusting for the sociodemographic characteristics in adulthood reduced the difference of the lowest quintiles by ∼70% among men and 30-40% among women. Controlling for the unobserved childhood characteristics in the sibling design did not provide any further explanation to the income differentials in mortality. This applied also for cause-specific mortality among men. HR to the cardiovascular diseases was 38% higher and 73% higher in alcohol, accidental and violent causes in the lowest quintile even after adjusting for all observed and unobserved characteristics.

CONCLUSIONS

The excess mortality in the lowest income quintiles persists even after shared childhood family conditions among siblings are accounted for.

Socioeconomic status across the life course and all-cause and cause-specific mortality in Finland

We used high quality register based data to study the relationship between childhood and adult socio-demographic characteristics and all-cause and cause-specific mortality at ages 35-72 in Finland among cohorts born in 1936-1950. The analyses were based on a 10% sample of households drawn from the 1950 Finnish Census of Population with the follow-up of household members in subsequent censuses and death records beginning from the end of 1970 through the end of 2007. The strengths of these data come from the fact that neither childhood nor adult characteristics are self reported and thus are not subject to recall bias, misreporting and no loss to follow-up after age 35. In addition, the study population includes several families with at least two children enabling us to control for unobserved family characteristics. We documented significant associations between early life social and family conditions on all-cause mortality and cause-specific mortality, with protective effects of higher childhood socio-demographic characteristics varying between 10% and 30%. These associations were mostly mediated through adult educational attainment and occupation, suggesting that the indirect effects of childhood conditions were more important than their direct effects. We further found that adult socioeconomic status was a significant predictor of mortality. The associations between adult characteristics and mortality were robust to controls for observed and unobserved childhood characteristics. The results imply that long-term adverse health consequences of disadvantaged early life social circumstances may be mitigated by investments in educational and employment opportunities in early adulthood.

The effects of earlier income variation on mortality: an analysis of Norwegian register data

Several studies have shown a positive relationship between mortality and episodes of income decline, unemployment, or poverty shortly before death or in the more distant past. Our objective was to analyse the mortality effects of earlier income changes more generally, net of the overall level. We used Norwegian register data that included individual histories of annual labour income and focused on mortality among men aged 50-69 in 1990-2002. Men in this age group who, during the preceding 15 years, had experienced at least two substantial falls in income as well as at least one substantial increase, or vice versa, experienced an excess mortality of 17 per cent. For men who experienced fewer changes, there were only weak indications of excess mortality. Variation dominated by falls in income did not have a more adverse effect than variation dominated by rises.

The changing contribution of smoking to educational differences in life expectancy: indirect estimates for Finnish men and women from 1971 to 2010

BACKGROUND

We estimated the contribution of smoking to educational differences in mortality and life expectancy between 1971 and 2010 in Finland.

METHODS

Eight prospective datasets with baseline in 1970, 1975, 1980, 1985, 1990, 1995, 2000 and 2005 and each linked to a 5-year mortality follow-up were used. We calculated life expectancy at age 50 years with and without smoking-attributable mortality by education and gender. Estimates of smoking-attributable mortality were based on an indirect method that used lung cancer mortality as a proxy for the impact of smoking on mortality from all other causes.

RESULTS

Smoking-attributable deaths constituted about 27% of all male deaths above age 50 years in the early 1970s and 17% in the period 2006-2010; these figures were 1% and 4% among women, respectively. The life expectancy differential between men with basic versus high education increased from 3.4 to 4.7 years between 1971-1975 and 2006-2010. In the absence of smoking, these differences would have been 1.5 and 3.4 years, 1.9 years (55%) and 1.3 years (29%) less than those observed. Among women, educational differentials in life expectancy between the most and least educated increased from 2.5 to 3.0 years. This widening was nearly entirely accounted for by the increasing impact of smoking. Among women the contribution of smoking to educational differences had increased from being negligible in 1971-1975 to 16% in 2006-2010.

CONCLUSIONS

Among men, the increase in educational differences in mortality in the past decades was driven by factors other than smoking. However, smoking continues to have a major influence on educational differences in mortality among men and its contribution is increasing among women.

Household economic resources, labour-market advantage and health problems - a study on causal relationships using prospective register data

Our aim was to find out whether the associations between health and both individual and household economic position reflected a causal effect on health of household affluence and consumption potential. We attempted to separate this effect from health-selection effects, in other words the potential effect of health on economic position, and from various effects related to occupational position and prestige that might correlate with the economic indicators. We made a distinction between individual labour-market advantage and household economic resources in order to reflect these theoretical definitions. Our aim was to test and compare two hypotheses: 1) low household economic resources lead to an increase in health problems later on, and 2) health problems are disadvantageous on the labour market, and consequently decrease the level of economic resources. We used prospective register data obtained from the databases of Statistics Finland and constituting an 11-per-cent random sample of the Finnish population in 1993-2006. Health problems were measured in terms of sickness allowance paid by the Finnish Social Insurance Institution, household economic resources in terms of household-equivalent disposable income and taxable wealth, and labour-market advantage in terms of individual taxable income and months of unemployment. We used structural equation models (n = 211,639) to examine the hypothesised causal pathways. Low household economic resources predicted future health problems, and health problems predicted future deterioration in labour-market advantage. The effect of economic resources on health problems was somewhat stronger. These results suggest that accumulated exposure to low economic resources leads to increasing health problems, and that this causal mechanism is a more significant source of persistent health inequalities than health problems that bring about a permanent decrease in economic resources.

Interrelationships between education, occupational social class, and income as determinants of disability retirement

AIMS

The association between a low socioeconomic position and disability retirement is established in the literature, but the interrelationships between various subdomains of socioeconomic position are poorly understood. We examined the independent and interdependent effects of education, social class, and income on disability retirement.

METHODS

Using nationally representative register data we followed up over 260,000 Finns aged 30-63 at the end of 1995 for disability retirement from 1996 to 2004. Cox regression analysis was used to calculate hazard ratios (HR) and relative indices of inequality (RII).

RESULTS

Each socioeconomic indicator had a linear negative association with disability retirement. The socioeconomic gradients were stronger in the younger age groups. The effect of education was largely mediated through succeeding social class. Social class was largely explained by preceding education, but was only moderately mediated through income. Income was largely explained by education, and even further by social class. The independent effects of education, social class, and income on disability retirement as measured by the RII were 1.74 (95% CI 1.60-1.90), 1.95 (1.78-2.15), and 1.35 (1.25-1.47) for men and 1.76 (1.61-1.92), 2.14 (1.95-2.34), and 1.14 (1.05-1.24) for women.

CONCLUSIONS

The effects of socioeconomic position on disability retirement may not be fully captured if the pathways between the various subdomains are disregarded. Our results suggest that efforts to delay and prevent disability retirement should focus on lifestyle and cognitive factors associated with education, as well as on factors associated with social class such as working conditions and power resources.

Economic difficulties and physical functioning in Finnish and British employees: contribution of social and behavioural factors

BACKGROUND

Childhood and current economic difficulties are associated with physical health. However, evidence concerning the factors underlying these associations is sparse. This study examines the contribution of a range of social and behavioural factors to associations between economic difficulties and physical functioning.

METHODS

We used comparable data on middle-aged white-collar employees from the Finnish Helsinki Health Study cohort (n = 3843) and the British Whitehall II Study cohort (n = 3052). Our health outcome was physical functioning measured by the SF-36 Physical Component Summary. Relative indices of inequality (RII), calculated using logistic regression analysis, were used to examine associations between economic difficulties and physical functioning, and the contribution of further socio-economic circumstances, health behaviours, living arrangements and work-family conflicts to these associations.

RESULTS

In age-adjusted models, childhood (RII = 1.76-3.06) and current (RII = 1.79-3.03) economic difficulties were associated with poor physical functioning in both cohorts. Further adjusting for work-family conflicts attenuated the associations of current economic difficulties with physical functioning in both cohorts, and also those of childhood economic difficulties in the Helsinki cohort. Adjustments for other socio-economic circumstances also caused some attenuation, while health behaviours and living arrangements had small or negligible effects.

CONCLUSIONS

Conflicts between work and family contribute to the associations of economic difficulties with physical functioning among employees from Finland and Britain. This suggests that supporting people to cope with economic difficulties, and efforts to improve the balance between paid work and family may help employees maintain good physical functioning.