Income inequality and health: multilevel analysis of Chilean communities

STUDY OBJECTIVE: The evidence supporting the effect of income inequality on health has been largely observed in societies far more egalitarian than the US. This study examines the cross sectional multilevel associations between income inequality and self rated poor health in Chile; a society more unequal than the US. DESIGN: A multilevel statistical framework of 98 344 people nested within 61 978 households nested within 285 communities nested within 13 regions. SETTING: The 2000 National Socioeconomic Characterization Survey (CASEN) data from Chile. PARTICIPANTS: Adults aged 18 and above. The outcome was a dichotomised self rated health (0 if very good, good or average; 1 if poor, or very poor). Individual level exposures included age, sex, ethnicity, marital status, education, employment status, type of health insurance, and household level exposures include income and residential setting (urban/rural). Community level exposures included the Gini coefficient and median income. Main results: Controlling for individual/household predictors, a significant gradient was observed between income and poor self rated health, with very poor most likely to report poor health (OR: 2.94) followed by poor (OR: 2.77), low (OR: 2.06), middle (OR: 1.73), high (OR: 1.38) as compared with the very high income earners. Controlling for household and community effects of income, a significant effect of community income inequality was observed (OR:1.22). CONCLUSIONS: Household income does not explain any of the between community differences; neither does it account for the effect of community income inequality on self rated health, with more unequal communities associated with a greater probability of reporting poor health.     

Does gender modify associations between self rated health and the social and economic characteristics of local environments?

OBJECTIVES: To examine whether area level socioeconomic disadvantage and social capital have different relations with women's and men's self rated health. METHODS: The study used data from 15 112 respondents to the 1998 Tasmanian (Australia) healthy communities study (60% response rate) nested within 41 statistical local areas. Gender stratified analyses were conducted of the associations between the index of relative socioeconomic disadvantage (IRSD) and social capital (neighbourhood integration, neighbourhood alienation, neighbourhood safety, political participation, social trust, trust in institutions) and individual level self rated health using multilevel logistic regression analysis before (age only) and after adjustment for individual level confounders (marital status, indigenous status, income, education, occupation, smoking). The study also tested for interactions between gender and area level variables. RESULTS: IRSD was associated with poor self rated health for women (age adjusted p<0.001) and men (age adjusted p<0.001), however, the estimates attenuated when adjusted for individual level variables. Political participation and neighbourhood safety were protective for women's self rated health but not for men's. Interactions between gender and political participation (p = 0.010) and neighbourhood safety (p = 0.023) were significant. CONCLUSIONS: These finding suggest that women may benefit more than men from higher levels of area social capital.     

Social inequalities in health by individual and household measures of social position in a cohort of healthy people

STUDY OBJECTIVE: It is increasingly recognised that different dimensions of social inequality may be linked to health by different pathways. Furthermore, factors operating at the individual level such as employment conditions may affect health in a different way from household level factors. The paper examines the associations between self rated health and four measures of social position- occupational class, household social advantage, personal and household income. DESIGN: Multilevel logistic regression models were used to predict self rated health using longitudinal data from the British Household panel survey (BHPS) with respondents nested within households. Separate analyses were carried out for economically active and inactive respondents. SETTING: Interview based surveys of adults living within households that are representative of British households. PARTICIPANTS: Adult respondents from the BHPS. MAIN RESULTS: Occupational class has relatively strong effects on the self rated health of the economically active, although household level factors also seem to influence their health. Household social advantage has relatively strong effects on the self rated health of the economically inactive. CONCLUSIONS: The paper found evidence in support of the view that different dimensions of social inequality have different pathways to self rated health. There are unexplained similarities in health between household members, which require further investigation.     

Self rated health: Is it as good a predictor of subsequent mortality among adults in lower as well as in higher social classes?

STUDY OBJECTIVE: To analyse the predictive power of self rated health for mortality in different socioeconomic groups. DESIGN, SETTING, PARTICIPANTS: Analysis of mortality rates and risk ratios of death during follow up among 170 223 respondents aged 16 years and above in the Swedish Survey of Living Conditions 1975-1997, in relation to self rated health stated at the interview, by age, sex, socioeconomic group, chronic illness and over time. MAIN RESULTS: There was a strong relation between poor self rated health and mortality, greater at younger ages, similar among men and women and among persons with and without a chronic illness. The relative relation between self rated health and subsequent death was stronger in higher than in lower socioeconomic groups, possibly because of the lower base mortality of these groups. However, the absolute mortality risk differences between persons reporting poor and good self rated health were similar across socioeconomic groups within each sex. The mortality risk difference between persons reporting poor and good self rated health was considerably higher among persons with a chronic illness than among persons without a chronic illness. The mortality risk among persons reporting poor health was increased for shorter (<2 years) as well as longer (10+ years) periods of follow up. CONCLUSIONS: The results suggest that poor self rated health is a strong predictor of subsequent mortality in all subgroups studied, and that self rated health therefore may be a useful outcome measure.     

Housing and health in Germany

STUDY OBJECTIVES: To examine the association between housing tenure and self rated health, controlling for socioeconomic measures and testing the mediating effects of physical features of the home, pollution in the local environment, and relationships with neighbours. DESIGN: Cross sectional panel study with people nested within households. Analyses were performed using multilevel methods. SETTING: Population based sample in Germany. PARTICIPANTS: People aged 16 or older were interviewed in the 1999 wave of the socio-economic panel study (n = 14 055) and nested within households (n = 7381). MAIN RESULTS: 44.0% of the population lived in homes that they owned. In bivariate analyses, women, people who live in apartment buildings, reside near cities, live in crowded homes, have homes in need of renovation, report higher pollution, and have distant contact with neighbours are more likely to live in rented homes. In multilevel analyses, renting a home was found to be associated with poor self rated health (OR 1.48, 95% CI 1.31 to 1.68). This relation persisted after controlling for education and income and was partially mediated by the need for household renovation, the perception of air and noise pollution in the local area, and distant relationship with neighbours, all of which were significantly associated with self rated health. CONCLUSIONS: This study provides evidence that home ownership is significantly associated with self rated health in Germany, and this relation may be, in part, mediated by physical and social features of home and neighbourhood.     

Bonding versus bridging social capital and their associations with self rated health: a multilevel analysis of 40 US communities

STUDY OBJECTIVE: Few studies have distinguished between the effects of different forms of social capital on health. This study distinguished between the health effects of summary measures tapping into the constructs of community bonding and community bridging social capital. DESIGN: A multilevel logistic regression analysis of community bonding and community bridging social capital in relation to individual self rated fair/poor health. SETTING: 40 US communities. PARTICIPANTS: Within community samples of adults (n = 24 835), surveyed by telephone in 2000-2001. MAIN RESULTS: Adjusting for community sociodemographic and socioeconomic composition and community level income and age, the odds ratio of reporting fair or poor health was lower for each 1-standard deviation (SD) higher community bonding social capital (OR = 0.86; 95% = 0.80 to 0.92) and each 1-SD higher community bridging social capital (OR = 0.95; 95% CI = 0.88 to 1.02). The addition of indicators for individual level bonding and bridging social capital and social trust slightly attenuated the associations for community bonding social capital (OR = 0.90, 95% CI = 0.84 to 0.97) and community bridging social capital (OR = 0.96, 95% CI = 0.89 to 1.03). Individual level high formal bonding social capital, trust in members of one's race/ethnicity, and generalised social trust were each significantly and inversely related to fair/poor health. Furthermore, significant cross level interactions of community social capital with individual race/ethnicity were seen, including weaker inverse associations between community bonding social capital and fair/poor health among black persons compared with white persons. CONCLUSIONS: These results suggest modest protective effects of community bonding and community bridging social capital on health. Interventions and policies that leverage community bonding and bridging social capital might serve as means of population health improvement.     

Comparison of the effects of low childhood socioeconomic position and low adulthood socioeconomic position on self rated health in four European studies

BACKGROUND: Socioeconomic inequalities in health are a persistent feature throughout Europe. Researchers and policy makers are increasingly using a lifecourse perspective to explain these inequalities and direct policy. However, there are few, if any, cross national lifecourse comparisons in this area. METHODS: Associations between socioeconomic position (SEP) in childhood and in adulthood and poor self rated health among men and women at midlife were tested in four European studies from England (n = 3615), France (n = 11 595), Germany (n = 4183), and the Netherlands (n = 3801). RESULTS: For women, mutually adjusted analyses showed significant associations between poor self rated health and low SEP in both childhood and adulthood in England and the Netherlands, only low childhood SEP in Germany and neither childhood nor adulthood SEP in France. For men, mutually adjusted analyses showed significant associations between poor self rated health and low SEP in both childhood and adulthood in France and the Netherlands, only with adult SEP in England and only with childhood SEP in Germany. CONCLUSION: In most countries adult SEP showed stronger associations with self rated health than childhood SEP. There are both gender and national differences in the associations between childhood and adulthood SEP. Policies designed to reduce inequalities in health need to incorporate a lifecourse perspective that is sensitive to different national and gender issues. Ultimately, more cross national studies are required to better understand these processes.     

Influence of sociodemographic and neighbourhood factors on self rated health and quality of life in rural communities: findings from the Agriproject in the Republic of Ireland

OBJECTIVE: To examine the influence of sociodemographic and neighbourhood factors on self rated health, quality of life, and perceived opportunities for change (as one measure of empowerment) in rural Irish communities. DESIGN: Pooled data from cross sectional surveys two years apart. SETTING: Respondents in four randomly selected rural district electoral divisions with a population size of between 750 and 2000. PARTICIPANTS: 1738 rural dwellers aged 15-93, 40.5% men, interviewed at two time points. MAIN OUTCOME MEASURES: Determinants of self rated health (SRH), quality of life (QOL), and perceived opportunities for change, rated on a closed option Likert scale and assessed in multivariate logistic regression models. MAIN RESULTS: Overall 23.8% of the sample reported poor SRH, 22.2% poor QOL, and 50.1% low perceived opportunities for change. Low financial security and dissatisfaction with work were each significantly associated with poor SRH (OR = 1.96 (1.50 to 2.56) and 1.54 (1.11 to 2.14)), with poor QOL (OR = 2.04 (1.56 to 2.68) and 1.87 (1.34 to 2.61). Concern about access to public services was significantly predictive of SRH (OR = 1.47 (1.11 to 1.94)) rather than access to health care (that is, hospital and GP services). There were distinct sex specific patterns and a generational effect for educational status in men. Variables associated with social networks and social support were less strongly predictive of SRH and QOL when economic measures were accounted for. CONCLUSION: Inter-relations between indicators of health status, wellbeing, and deprivation are not well studied in rural communities. Material deprivation has a direct influence on both health status and quality of life, although immediate sources of support are relatively well preserved.     

Psychosocial work characteristics and self rated health in four post-communist countries

STUDY OBJECTIVES: To examine whether psychosocial factors at work are related to self rated health in post-communist countries. DESIGN AND SETTINGS: Random samples of men and women in five communities in four countries were sent a postal questionnaire (Poland, Czech Republic and Lithuania) or were invited to an interview (Hungary). Working subjects (n=3941) reported their self rated health in the past 12 months (5 point scale), their socioeconomic circumstances, perceived control over life, and the following aspects of the psychosocial work environment: job control, job demand, job variety, social support, and effort and reward at work (to calculate a ratio of effort/reward imbalance). As the results did not differ by country, pooled analyses were performed. Odds ratios of poor or very poor health ("poor health") were estimated for a 1 SD increase in the scores of work related factors. MAIN RESULTS: The overall prevalence of poor health was 6% in men and 7% in women. After controlling for age, sex and community, all work related factors were associated with poor health (p<0.05). After further adjustment for perceived control, only two work related factors remained associated with poor health; the odds ratios (95% confidence intervals) for 1 SD increase in the effort/reward ratio (log transformed) and job variety were 1.51 (1.29, 1.78) and 0.82 (0.73, 1.00), respectively. Further adjustment for all work related factors did not change these estimates. There were no interactions between individual work related factors, but the effects of job control and social support at work differed by marital status, and the odds ratio of job demand increased with increasing education. CONCLUSIONS: The continuous measure of effort/reward imbalance at work was a powerful determinant of self rated health in these post-communist populations. Although the cross sectional design does not allow firm conclusions as to causality, this study suggests that the effect of the psychosocial work environment is not confined to Western populations.     

Variations in health status within and between socioeconomic strata

Objectives: To analyse the variability in health status within as well as between socioeconomic groups. What is the range of individual variability in the health effects of socioeconomic status? Is the adverse effect of lower socioeconomic status uniform across the entire distribution of health status? Design: Nationally representative telephone survey of the US population in 1996. Setting: 60 US metropolitan and rural areas. Participants: 47 076 adult respondents to the community tracking study. Main outcome measures: Self rated physical and mental health status, measured by the Short Form-12 instrument. Results: There is considerable variability in self rated health within socioeconomic strata and that variability increases in a step-wise fashion at each lower stratum of income. Most of the increased variability is accounted for by changes in the middle and lower (10th, 25th, and 50th centiles) rather than the upper (75th and 90th) portions of the distribution. A resilient subgroup of lower socioeconomic status people seems to maintain excellent self rated health throughout life, while a more vulnerable lower socioeconomic status group experiences rapid deterioration in health status as people reach middle age. Conclusions: Within the population level social structuring of health there are differences in individual resilience and vulnerability that are amenable to further exploration and potential modification.     

Food intake patterns, self rated health and mortality in Danish men and women. A prospective observational study

OBJECTIVE: To examine whether self rated health confounds or modifies the relation between a prudent food intake pattern and mortality and to study whether the prudent food intake pattern predicts subsequent changes in self rated health. DESIGN: A prospective cohort study with follow up of total mortality and changes in self rated health. Food intake patterns were identified by principal component analysis from a 28 item food frequency questionnaire, collected at baseline. SETTING: MONICA surveys, Copenhagen County, Denmark. PARTICIPANTS: A random sample of 3698 men and 3618 women aged 30-70 years were followed up from 1982 to 1998 (median 15 years). MAIN RESULTS: Among participants with complete information on all variables 18% had rated their health as poor (average or bad) at the baseline examination. Poor self rated health was related to a low score on the prudent food intake pattern, which was characterised by a frequent intake of wholemeal bread, fruit and vegetables. Three hundred and seventy six men and 210 women died during follow up. Poor self rated health and a low prudent food score were associated with increased mortality in both men and women. Self rated health did not modify the relation between diet and mortality. Of the 1098 men and 1048 women with good self rated health at baseline, 243 men and 297 women reported poor health during follow up. Low prudent food score, smoking, and high BMI increased the risk of developing poor health in both men and women, but in multivariate analysis the associations attenuated and were only significant for BMI. CONCLUSION: Both prudent food intake pattern and self reported health are independent predictors of mortality. Self rated health does not seem to modify the relation between diet and mortality.     

The Relationship Between Self‐Rated Health and Hospital Records

This paper investigates whether self‐rated health (SRH) covaries with individual hospital records. By linking the Danish Longitudinal Survey on Ageing with individual hospital records covering all hospital admissions from 1995 to 2006, I show that SRH is correlated to historical, current, and future hospital records. I use both measures separately to control for health in a regression of mortality on wealth. Using only historical and current hospitalization controls for health yields the common result that SRH is a stronger predictor of mortality than objective health measures. The addition of future hospitalizations as controls shows that the estimated gradient on wealth is similar to one in which SRH is the control. The results suggest that with a sufficiently long time series of individual records, objective health measures can predict mortality to the same extent as global self‐rated measures. Copyright © 2015 John Wiley & Sons, Ltd.     

Impact of smoking on the social gradient in health expectancy in Denmark

STUDY OBJECTIVE: Health expectancy is arrived at by dividing life expectancy into average lifetime in different states of health. The purpose of the study was to estimate health expectancy among never smokers and smokers in groups at high, medium, and low educational levels in Denmark. DESIGN: Life tables for never smokers and smokers with a high, medium, and low educational level were constructed on the basis of Statistics Denmark registers and combined with data from the Danish Health Interview Survey 2000. Health expectancy was calculated by Sullivan's method. MAIN RESULTS: Life expectancy at age 30 differs on average by 8.5 years between never smokers and heavy smokers. Expected lifetime in self rated good health was 39.4 years for a never smoking man corresponding to 82.0% of the rest of his life. For male lifelong heavy smokers these figures were reduced to 27.3 years and 69.2%. The proportion of expected lifetime in self rated good health was 89.5% and 71.3% among male never smokers and lifelong heavy smokers with a high educational level, respectively; and the proportion among male never smokers and heavy smokers with a low educational level was 73.4% and 63.6%, respectively. Similar results were seen as regards expected lifetime without longstanding illness. For women the social gradient in health expectancy was intensified among smokers. CONCLUSIONS: Within each educational group smoking reduces expected lifetime in a healthy state. The social gradient in health expectancy cannot be explained by a reverse social gradient in smoking prevalence.     

Educational attainment, deprivation-affluence and self reported health in Britain: a cross sectional study

STUDY OBJECTIVE: The level of material deprivation or affluence is strongly and independently correlated with all cause mortality at an area level, but educational attainment, after controlling for deprivation-affluence, remains strongly associated with coronary and infant mortality. This study investigated whether these relations hold at an individual level with self reported morbidity. DESIGN: Analysis of the cross sectional associations of self reported longstanding illness and "not good" or "fairly good" self assessed health with individual educational attainment in seven levels, adjusting for deprivation measures (economic status of head of household, car ownership, housing tenure, overcrowding). SETTING: The 1993 General Household Survey, a random sample of households in Great Britain. PARTICIPANTS: 11,634 subjects aged 22 to 69. MAIN RESULTS: After adjusting for household deprivation, lower educational attainment was significantly associated with longstanding illness in men (odds ratio 1.05 per education category, 95% CI 1.02 to 1.08), but not in women (odds ratio 1.01, 95% CI 0.98 to 1.04). The associations with "not good" or "fairly good" self assessed health were stronger and significant in both men and women (men 1.13, 95% CI 1.10 to 1.17; women 1.10, 95% CI 1.07 to 1.14). The findings were little changed by allowing for people in poor health becoming economically inactive. CONCLUSIONS: The associations of self reported health with deprivation-affluence are stronger than with educational attainment. However, educational attainment is associated with self assessed health in adulthood, independently of deprivation-affluence. Longstanding illness may be associated with educational attainment in men only. Educational attainment may be a marker for childhood socioeconomic circumstances, its association with health may result from occupational characteristics, or education may influence the propensity to follow health education advice.     

Risk behaviours and self rated health in Russia 1998

OBJECTIVES: As self rated health and mortality represent different dimensions of public health and as risk behaviours have been closely related to mortality, we wanted to examine whether (poor) self rated health on the one hand and risk behaviours on the other can be attributed to different causes. METHODS: The Taganrog household survey (1998) was conducted in the form of face to face interviews and included 1009 people and their families. To estimate health differences and differences in risk behaviours between groups, logistic regressions were performed. RESULTS: In Taganrog between 1993/94 and 1998, changes in self rated health seem to have been much more dramatic than changes in smoking and different in direction from changes in heavy alcohol consumption. Moreover, self rated "poor" health was especially common among those whose economic situation was worse in 1998 than 10 years before. However, having a poorer economy during the period 1988-1998, does not seem to have affected drinking or smoking habits significantly. CONCLUSIONS: Self rated health seems to be closely related to three indicators of economic circumstances. Risk behaviours are probably important for the poor state of public health in Russia, but may be less sensitive to the economic aspects of the transition than is self rated health.     

Relatively poor,absolutely ill? A study of regional income inequality in Russia and its possible health consequences

STUDY OBJECTIVE: To investigate whether the income distribution in a Russian region has a "contextual" effect on individuals' self rated health, and whether the regional income distributions are related to regional health differences. METHODS: The Russia longitudinal monitoring survey (RLMS) is a survey (n = 7696) that is representative of the Russian population. With multilevel regressions both individual as well as contextual effects on self rated health were estimated. MAIN RESULTS: The effect of income inequality is not negative on men's self rated health as long as the level of inequality is not very great. When inequality levels are high, however, there is a tendency for men's health to be negatively affected. Regional health differences among men are in part explained by regional income differences. On the other hand, women do not seem to be affected in the same way, and individual characteristics like age and educational level seem to be more important. CONCLUSIONS: It seems that a rise in income inequality has no negative effect on men's self rated health as long as the level of inequality is not very great. On the other hand, when inequality levels are higher a rise tends to affect men's health negatively. A curvilinear relation between self rated health and income distribution is an interesting hypothesis. It could help to explain the confusing results that arise when you look at countries with a high degree of income inequality (USA) and those with lower income inequality (for example, Japan and New Zealand).     

Social trust and self-rated health in US communities: a multilevel analysis

This study assessed the contextual and individual effects of social trust on health. Methods consisted of a multilevel regression analysis of self-rated poor health among 21,456 individuals nested within 40 US communities included in the 2000 Social Capital Community Benchmark Survey. Controlling for demographic covariates, a strong income and education gradient was observed for self-rated health. Higher levels of cominunity social trust were associated with a lover probability of reporting poor health. Individual demographic and socioeconomic preditors did not explain the association of community social trust with self-rated health. Controlling for individual trust perception, however, rendered the main effect of community social trust statistically insignificant, but a complex interaction effect was observed, such that the health-promoting effect of community social trust was significantly greater for high-trust individuals. For low-trust individuals, the effect of community social trust on self-rated health was the opposite. Using the latest data available on community social trust, we conclude that the role of community social trust in explaining average population health achievements and health inequalities is complex and is contingent on individual perceptions of social trust. Future multilevel investigations of social capital and population health should routinely consider the cross-level nature of community or neighborbood effects.     

Effects of income and wealth on GHQ depression and poor self rated health in white collar women and men in the Whitehall II study

STUDY OBJECTIVE: To determine whether measures of income and wealth are associated with poor self rated health and GHQ depression. DESIGN: Whitehall II study of London based civil servants re-interviewed between 1997-1999; 7162 participants. MAIN RESULTS: A twofold age adjusted difference in morbidity was observed between the top and bottom of the personal income hierarchy for both sexes. For household income and particularly for wealth these associations are stronger. After adjusting for health at baseline the associations between personal income and both health outcomes are reduced by about 40%-60%. For household income the attenuation is somewhat smaller and for wealth is about 30%. Adjusting for other sociodemographic factors leads to further attenuation of the effects. CONCLUSIONS: The associations between income, particularly personal income, and morbidity can be largely accounted for by pre-existing health and other measures of social position. The strong independent association between household wealth-a measure of income earned over decades and across generations-and morbidity are likely to be related to a set of early and current material and psychosocial benefits.     

The prediction of different experiences of longterm illness: a longitudinal approach in Sweden.

STUDY OBJECTIVE: To analyse the role played by socioeconomic factors and self rated general health in the prediction of the reporting of severe longterm illness, and the extent to which these factors explain social class differences in the reporting of such illness. DESIGN: Analysis of panel data from the survey of living conditions, conducted by Statistics Sweden over the years 1979-81 and 1986-89. SETTING: A random sample of the Swedish population, interviewed in 1979-81 and then re-interviewed in 1986-89. PARTICIPANTS: A representative sample of 3889 employed Swedish people, aged 16-65 years. MAIN RESULTS: Socioeconomic and individual factors predict severe longterm illness regardless of the kind of reported disorder from which the subject suffers. The main predictive factor involved is health self rated as fair/poor, but exposure to high physical job demands proved to be the main explanation of the role played by socioeconomic class. There was a significant interaction effect between self rated general health and physical job demands with regard to the experience of severe illness. CONCLUSIONS: The results of the study strengthen the hypothesis that manual workers are not only more exposed to causes of illness that have important individual and social consequences, but also to the personal factors that determine different experiences of illness. Interaction between these two kinds of factors (job demands and self rated health) suggests that socioeconomic and individual factors play different but complementary roles in the causal process leading to the experience of severe longterm illness.     

Organisational justice and change in justice as predictors of employee health: the Whitehall II study

OBJECTIVE: Organisational justice has been proposed as a new way to examine the impact of psychosocial work environment on employee health. This article studied the justice of interpersonal treatment by supervisors (the relational component of organisational justice) as a predictor of health. DESIGN: Prospective cohort study. Phase 1 (1985-88) measured relational justice, job demands, job control, social support at work, effort-reward imbalance, and self rated health. Relational justice was assessed again at phase 2 (1989-90) and self rated health at phase 2 and phase 3 (1991-93). SETTING: 20 civil service departments originally located in London. PARTICIPANTS: 10 308 civil servants (6895 men, 3413 women) aged 35-55. OUTCOME MEASURE: Self rated health. MAIN RESULTS: Men exposed to low justice at phase 1 or adverse change in justice between phase 1 and phase 2 were at higher risk of poor health at phase 2 and phase 3. A favourable change in justice was associated with reduced risk. Adjustment for other stress indicators had little effect on results. In women, low justice at phase 1 predicted poor health at phase 2 and phase 3 before but not after adjustment for other stress indicators. Adverse change in justice was associated with worse health prospects irrespective of adjustments. CONCLUSIONS: The extent to which people are treated with justice in workplaces seems to predict their health independently of established stressors at work. Evidence on reduced health risk after favourable change in organisational justice implies a promising area for health interventions at workplace.