Self-rated health trajectories in the United States and the United Kingdom: a comparative study

Lifetime socioeconomic determinants of health trajectories among older adults

Drawing on life course theory and research, we explored how socioeconomic circumstances during childhood and adulthood shape self-reported health trajectories among older Mexican adults. We used data from the Mexican Health and Aging Study panel survey (2001-2015) and used sequence analysis to estimate types of self-reported health trajectories in older adulthood. We then explored the association between those health trajectories and socioeconomic determinants at different life stages, including education, occupation, employment, economic status, parental education, and adverse living conditions and illnesses during childhood. Our contributions are threefold. First, we identified four types of health trajectories for men and eight for women, representing a more nuanced longitudinal health status profile than previously shown. Second, we found that childhood and adult socioeconomic circumstances influence self-reported health trajectories at older age. Third, our results suggest there is no simple monotonic relationship between life course circumstances and self-reported health trajectories.

Trajectories of self-rated health in an older general population and their determinants: the Lifelines Cohort Study

OBJECTIVES

Poor self-rated health (SRH) is a strong predictor of premature mortality in older adults. Trajectories of poor SRH are associated with multimorbidity and unhealthy behaviours. Whether trajectories of SRH are associated with deviating physiological markers is unclear. This study identified trajectories of SRH and investigated the associations of trajectory membership with chronic diseases, health risk behaviours and physiological markers in community-dwelling older adults.

STUDY DESIGN AND SETTING

Prospective general population cohort.

PARTICIPANTS

Trajectories of SRH over 5 years were identified using data of 11 600 participants aged 65 years and older of the Lifelines Cohort Study.

OUTCOME MEASURES

Trajectories of SRH were the main outcome. Covariates included demographics (age, gender, education), chronic diseases, health-risk behaviour (physical activity, smoking, drinking) and physiological markers (body mass index, cardiovascular function, lung function, glucose metabolism, haematological condition, endocrine function, renal function, liver function and cognitive function).

RESULTS

Four stable trajectories were identified, including excellent (n=607, 6%), good (n=2111, 19%), moderate (n=7677, 65%) and poor SRH (n=1205, 10%). Being women (OR: 1.4; 95% CI: 1.0 to 1.9), low education (OR: 2.1; 95% CI: 1.5 to 3.0), one (OR: 10.4; 95% CI: 7.4 to 14.7) or multiple chronic diseases (OR: 37.8; 95% CI: 22.4 to 71.8), smoking (OR: 1.8; 95% CI: 1.0 to 3.2), physical inactivity (OR: 3.1; 95% CI: 1.8 to 5.2), alcohol abstinence (OR: 2.2; 95% CI: 1.4 to 3.2) and deviating physiological markers (OR: 1.5; 95% CI: 1.1 to 2.0) increase the odds for a higher probability of poor SRH trajectory membership compared with excellent SRH trajectory membership.

CONCLUSION

SRH of community-dwelling older adults is stable over time with the majority (65%) having moderate SRH. Older adults with higher probabilities of poor SRH often have unfavourable health status.

Self-rated health of Middle Eastern immigrants in the US: a national study

OBJECTIVES

The aim of the study was to examine self-rated health (SRH) of Middle Eastern immigrants in the US compared with US-born non-Hispanic whites and to examine factors associated with fair/poor SRH among Middle Eastern immigrants in the US.

STUDY DESIGN

We used a cross-sectional design to analyze the National Health Interview Survey from 2001 to 2015.

METHODS

Secondary survey analysis procedures were conducted using the SAS program, with a total of 3,966 Middle Eastern and 731,285 US-born non-Hispanic whites. Descriptive statistics and regression analyses were used.

RESULTS

Middle Eastern immigrants had significantly higher rates of fair/poor SRH than US-born whites across the three survey waves. Reporting symptoms of serious psychological distress, older age (60+ years), current alcohol-drinking status, and having a family member with disability were the factors associated significantly with higher odds of reporting fair/poor SRH in Middle Eastern immigrants, whereas education was a protecting factor of fair/poor SRH.

CONCLUSIONS

This study indicates that Middle Eastern immigrants are one of the US immigrant populations that report poor health status, which reveals the need for health policy attention to reduce health disparities.

Poverty dynamics, poverty thresholds and mortality: An age-stage Markovian model

Recent studies have examined the risk of poverty throughout the life course, but few have considered how transitioning in and out of poverty shape the dynamic heterogeneity and mortality disparities of a cohort at each age. Here we use state-by-age modeling to capture individual heterogeneity in crossing one of three different poverty thresholds (defined as 1×, 2× or 3× the “official” poverty threshold) at each age. We examine age-specific state structure, the remaining life expectancy, its variance, and cohort simulations for those above and below each threshold. Survival and transitioning probabilities are statistically estimated by regression analyses of data from the Health and Retirement Survey RAND data-set, and the National Longitudinal Survey of Youth. Using the results of these regression analyses, we parameterize discrete state, discrete age matrix models. We found that individuals above all three thresholds have higher annual survival than those in poverty, especially for mid-ages to about age 80. The advantage is greatest when we classify individuals based on 1× the “official” poverty threshold. The greatest discrepancy in average remaining life expectancy and its variance between those above and in poverty occurs at mid-ages for all three thresholds. And fewer individuals are in poverty between ages 40-60 for all three thresholds. Our findings are consistent with results based on other data sets, but also suggest that dynamic heterogeneity in poverty and the transience of the poverty state is associated with income-related mortality disparities (less transience, especially of those above poverty, more disparities). This paper applies the approach of age-by-stage matrix models to human demography and individual poverty dynamics. In so doing we extend the literature on individual poverty dynamics across the life course.

Measurement equivalence: a glossary for comparative population health research

Comparative population health studies are becoming more common and are advancing solutions to crucial public health problems, but decades-old measurement equivalence issues remain without a common vocabulary to identify and address the biases that contribute to non-equivalence. This glossary defines sources of measurement non-equivalence. While drawing examples from both within-country and between-country studies, this glossary also defines methods of harmonisation and elucidates the unique opportunities in addition to the unique challenges of particular harmonisation methods. Its primary objective is to enable population health researchers to more clearly articulate their measurement assumptions and the implications of their findings for policy. It is also intended to provide scholars and policymakers across multiple areas of inquiry with tools to evaluate comparative research and thus contribute to urgent debates on how to ameliorate growing health disparities within and between countries.

Introduction of a National Minimum Wage Reduced Depressive Symptoms in Low-Wage Workers: A Quasi-Natural Experiment in the UK

Does increasing incomes improve health? In 1999, the UK government implemented minimum wage legislation, increasing hourly wages to at least £3.60. This policy experiment created intervention and control groups that can be used to assess the effects of increasing wages on health. Longitudinal data were taken from the British Household Panel Survey. We compared the health effects of higher wages on recipients of the minimum wage with otherwise similar persons who were likely unaffected because (1) their wages were between 100 and 110% of the eligibility threshold or (2) their firms did not increase wages to meet the threshold. We assessed the probability of mental ill health using the 12-item General Health Questionnaire. We also assessed changes in smoking, blood pressure, as well as hearing ability (control condition). The intervention group, whose wages rose above the minimum wage, experienced lower probability of mental ill health compared with both control group 1 and control group 2. This improvement represents 0.37 of a standard deviation, comparable with the effect of antidepressants (0.39 of a standard deviation) on depressive symptoms. The intervention group experienced no change in blood pressure, hearing ability, or smoking. Increasing wages significantly improves mental health by reducing financial strain in low-wage workers. © 2016 The Authors. Health Economics published by John Wiley & Sons Ltd.

Relationship between employment histories and frailty trajectories in later life: evidence from the English Longitudinal Study of Ageing

Background

Given the acceleration of population ageing and policy changes to extend working lives, evidence is needed on the ability of older adults to work for longer. To understand more about the health impacts of work, this study examined the relationship between employment histories before retirement and trajectories of frailty thereafter.

Methods

The sample comprised 2765 women and 1621 men from the English Longitudinal Study of Ageing. We used gendered typologies of life-time employment and a frailty index (FI). Multilevel growth curve models were used to predict frailty trajectories by employment histories.

Results

Women who had a short break for family care, then did part-time work till 59 years had a lower FI after 60 years than those who undertook full-time work until 59 years. Women who were largely family carers or non-employed throughout adulthood, had higher levels of frailty at 60 years but experienced a slower decline with age. Men who worked full-time but early exited at either 49 or 60 years had a higher FI at 65 years than those who worked full-time up to 65 years. Interaction between employment histories and age indicated that men in full-time work who experienced an early exit at 49 tended to report slower declines.

Conclusions

For women, experiencing distinct periods throughout the lifecourse of either work or family care may be advantageous for lessening frailty risk in later life. For men, leaving paid employment before 65 years seems to be beneficial for decelerating increases in frailty thereafter. Continuous full-time work until retirement age conferred no long-term health benefits.

Intergenerational Relationships and Self-Rated Health Trajectories Among Older Adults in Rural China: Does Gender Matter?

The present study examined trajectory patterns of self-rated health (SRH) among older rural Chinese adults and gender differences in the relationship between intergenerational relationships and SRH trajectories. Using data from four waves of a longitudinal study on the well-being of older adults in Anhui province, a general growth mixture model was estimated to examine the SRH trajectory patterns and antecedents of SRH trajectory class memberships. A two-class model was selected to interpret the SRH trajectory patterns. The two classes were labeled remaining poor and good but declining. Intergenerational relationships were a significant antecedent of SRH trajectory class memberships among men but not women. Gender differences in the cumulative effects of intergenerational relationships on the health of older adults were identified in rural China. Policy implications regarding how to help rural families support their elderly members are discussed.

Economic hardship in childhood and adult health trajectories: An alternative approach to investigating life-course processes

In this study, we advance existing research on health as a life course process by conceptualizing and measuring both childhood disadvantage and health as dynamic processes in order to investigate the relationship between trajectories of early life socioeconomic conditions and trajectories of health in midlife. We utilize a trajectory-based analysis that takes a disaggregated, person-centered approach to understand dynamic trajectories of health as latent variables that reflect the timing, duration and change in health conditions experienced by respondents over a period of 10 years in midlife as a function of stability and change in exposure to economic hardship in early life. Results from repeated-measures latent class analysis of longitudinal data from the Panel Study of Income Dynamics indicate that economic hardship in childhood has long-term, negative consequences for health both among individuals beginning life and remaining in poverty as well as those moving into poverty. In contrast, adults with more advantaged early life experiences, or who moved out of poverty during the period of observation, were at a lower risk of experiencing health trajectories characterized by the early onset or increasing risk of disease. We argue that a person-centered, disaggregated approach to the study of the relationship between socioeconomic status and health across the life course holds potential for the study of health inequality and that a greater focus on trajectory-based analysis is needed.

Self-rated health in the last 12 years of life compared to matched surviving controls: the Health and Retirement Study

Self-rated health (SRH) is a valid measure of health status and associated with mortality. Based on individual-level biannual repeat data on SRH we sought to characterize the natural history of poor SRH during the 12 years prior to death in men and women in different age groups. We conducted a retrospective analysis of the Health and Retirement Study participants who died between 1998 and 2010 and had at least two SRH measurements in the 12 years prior to death. We used a nested case-control design to compare SRH trajectories of deceased men and women aged 30–64, 65–79 and 80 years versus surviving participants. The cases comprised 3,350 deceased participants who were matched to surviving controls (n = 8,127). SRH was dichotomized into good vs. poor health. Men and women dying at age 65–79 and ≥80 years had 1.5 to 3 times higher prevalence of poor SRH already 11–12 years prior to death compared to surviving controls. The risk estimates remained statistically significant even after adjusting for life-style related risk factors and diagnosed diseases. Prevalence of poor SRH before death was lowest among those aged ≥80 years and highest in 30–64 year-olds. In conclusion, men and women who subsequently die perceive their health worse already 11–12 years prior to death compared to their surviving controls.

Factors of change and cumulative factors in self-rated health trajectories: a systematic review

In Western societies, self-rated health (SRH) inequalities have increased over the past decades. Longitudinal studies suggest that the SRH trajectories of disadvantaged populations are declining at a faster rate than those of advantaged populations, resulting in an accumulation of (dis)advantages over the life course, as postulated by the Cumulative Advantage/Disadvantage (CAD) model. The objectives of this study are to conduct a systematic review of the factors influencing SRH trajectories in the adult population and to assess to what extent the findings support the CAD model. Based on the inclusion criteria, 36 articles, using 15 nationally representative databases, were reviewed. The results show that young age, high socioeconomic position and marital transitions (entering a partnership) are advantageous factors of change in SRH trajectories. However, evidence for cumulative influences supporting the CAD model remains limited: gender, ethnicity, education and employment status are only moderately associated with growing influences over time, and the cumulative influences of income, occupation, age and marital status are weak. In conclusion, this systematic review provides consolidated evidence on the factors influencing SRH trajectories, though the inclusion of only 15 nationally representative databases may limit the generalization of the results.

Trajectories of self-rated health in people with diabetes: associations with functioning in a prospective community sample

Background

Self-rated health (SRH) is a single-item measure that is one of the most widely used measures of general health in population health research. Relatively little is known about changes and the trajectories of SRH in people with chronic medical conditions. The aims of the present study were to identify and describe longitudinal trajectories of self-rated health (SRH) status in people with diabetes.

Methods

A prospective community study was carried out between 2008 and 2011. SRH was assessed at baseline and yearly at follow-ups (n=1288). Analysis was carried out through trajectory modeling. The trajectory groups were subsequently compared at 4 years follow-up with respect to functioning.

Results

Four distinct trajectories of SRH were identified: 1) 72.2% of the participants were assigned to a persistently good SRH trajectory; 2) 10.1% were assigned to a persistently poor SRH trajectory; 3) mean SRH scores changed from good to poor for one group (7.3%); while 4) mean SRH scores changed from poor to medium/good for another group (10.4%). Those with a persistently poor perception of health status were at higher risk for poor functioning at 4 years follow-up than those whose SRH scores decreased from good to poor.

Conclusions

SRH is an important predictor for poor functioning in diabetes, but the trajectory of SRH seems to be even more important. Health professionals should pay attention to not only SRH per se, but also changes in SRH over time.

Income and individual deprivation as predictors of health over time

OBJECTIVES

Poverty, often defined as a lack of resources to achieve a living standard that is deemed acceptable by society, may be assessed using level of income or a measure of individual deprivation. However, the relationship between low income and deprivation is complex--for example, not everyone who has low income is deprived (and vice versa). In addition, longitudinal studies show only a small relationship between short-term changes in income and health but an alternative measure of poverty, such as deprivation, may have a stronger association with health over time. We aim to compare low income and individual deprivation as predictors of self-rated health (SRH), using longitudinal survey data, to test the hypothesis that different measures of poverty may have different associations with health.

METHODS

We used three waves from the longitudinal Survey of Family, Income and Employment and fixed-effect linear regression models to compare low income (<50% median income at each wave) and deprivation (reporting three or more items from the New Zealand individual deprivation index) as predictors of SRH (coded 1-5; SD 1.1-1.2). We also compared the impact of duration of low income and deprivation on SRH using mixed linear models.

RESULTS

In the fixed-effect models, moving into deprivation between waves was associated with a larger decline in SRH compared to moving into low income, which persisted in models including both low income and deprivation. Similar findings were observed for duration of low income and deprivation in mixed models.

CONCLUSIONS

Moving into high levels of individual deprivation is a stronger predictor of changes in SRH than moving into low income. When investigating the association of hardship poverty with health, using alternative measures, in addition to income, is advisable.

A Multiple-Process Latent Transition Model of Poverty and Health

Health researchers often use the life-course perspective, exploring how long-range experiences in one life domain may influence, and be influenced by, those in another. We develop a multiple-process latent transition model (MPLTM) to estimate changes in health and poverty dynamics simultaneously, using repeated measures of self-rated health and income for working-aged adults from the British Household Panel Survey. We apply the model to quantify concurrent and longitudinal effects to assess whether changes in these two processes are related or independent. Model extensions add time-invariant (cohort, gender) and time-varying (weeks nonemployed in previous year) covariates. We find both concurrent and bidirectional longitudinal relationships between poverty and health, with nonemployment appearing to mediate longitudinal health-to-poverty effects and confound longitudinal poverty-to-health effects. The MPLTM can provide quantitative estimates of complex interlocking processes that are often difficult to measure and assess.

Self-rated health trajectories in the African American health cohort

BACKGROUND

Self-rated health taps health holistically and dynamically blends prior health histories with current illness burdens and expectations for future health. While consistently found as an independent predictor of functional decline, sentinel health events, physician visits, hospital episodes, and mortality, much less is known about intra-individual changes in self-rated health across the life course, especially for African Americans.

MATERIALS/METHODS

Data on 998 African American men and women aged 50-64 years old were taken from a probability-based community sample that was first assessed in 2000-2001 and re-assessed 1, 2, 3, 4, 7, and 9 years later. Using an innovative approach for including decedents in the analysis, semi-parametric group-based mixture models were used to identify person-centered group trajectories of self-rated health over time. Multivariable multinomial logistic regression analysis was then used to differentiate the characteristics of AAH participants classified into the different group trajectories.

RESULTS

Four self-rated health group trajectories were identified: persistently good health, good but declining health, persistently fair health, and fair but declining health. The main characteristics that differentiated the self-rated health trajectory groups from each other were age, education, smoking, morbidity (angina, congestive heart failure, diabetes, and kidney disease), having been hospitalized in the year prior to baseline, depressive symptoms, mobility limitations, and initial self-rated health.

CONCLUSIONS

This is the first study to examine self-rated health trajectories separately among African Americans. Four qualitatively distinct self-rated health group trajectories were identified that call into question the accuracy of prior reports that a single, average self-rated health trajectory for African Americans adequately captures their within-group heterogeneity.

Income inequality in health at all ages: a comparison of the United States and England

OBJECTIVES

I systematically examined income gradients in health in the United States and England across the life span (ages birth to 80 years), separately for females and males, for a number of health conditions.

METHODS

Using data from the National Health and Nutrition Examination Survey for the United States (n = 36 360) and the Health Survey for England (n = 55 783), I calculated weighted prevalence rates and risk ratios by income level for the following health risk factors or conditions: obesity, hypertension, diabetes, low high-density lipoprotein cholesterol, high cholesterol ratio, heart attack or angina, stroke, and asthma.

RESULTS

In the United States and England, the income gradients in health are very similar across age, gender, and numerous health conditions, and are robust to adjustments for race/ethnicity, health behaviors, body mass index, and health insurance.

CONCLUSIONS

Health disparities by income are pervasive in England as well as in the United States, despite better overall health, universal health insurance, and more generous social protection spending in England.

Determinants of change in self-rated health among older adults in Europe: a longitudinal perspective based on SHARE data

The present study aims at detecting factors which may predict a decline or an improvement in self-rated health (SRH) of older adults (persons aged 50 or higher) among socio-demographic characteristics, physical and mental health indicators and risky health behaviours. In the analysis, multinomial logistic regression models are applied to data from waves 1 and 2 of the Survey of Health Ageing and Retirement in Europe (carried out about 3 years apart); persons who report a decline or an improvement in SRH at wave 2 are compared to those who report no change while controlling for SRH at baseline and country of residence. The analysis was carried out for the whole sample and two subgroups, persons aged 50-64 and 65 or higher. The results indicate that female sex and higher educational attainment have a strong protective effect against decline in SRH. Worse health at baseline is an important predictor of subsequent decline but changes occurring between the waves have a more pronounced effect, implying that SRH is influenced more by recent developments. The findings also indicate that improvement in SRH is a more complex concept than decline and is strongly affected by factors other than health. Among behavioural risk factors, low levels of physical activity and a decrease in the levels of activity between the waves are significantly related to decline while frequent drinking seems associated with improvement. Differentiations by age are modest and probably suggest that advancing age is related to a milder view of one's health.

How society shapes the health gradient: work-related health inequalities in a comparative perspective

Analyses in comparative political economy have the potential to contribute to understanding health inequalities within and between societies. This article uses a varieties of capitalism approach that groups high-income countries into coordinated market economies (CME) and liberal market economies (LME) with different labor market institutions and degrees of employment and unemployment protection that may give rise to or mediate work-related health inequalities. We illustrate this approach by presenting two longitudinal comparative studies of unemployment and health in Germany and the United States, an archetypical CME and LME. We find large differences in the relationship between unemployment and health across labor-market and institutional contexts, and these also vary by educational status. Unemployed Americans, especially of low education or not in receipt of unemployment benefits, have the poorest health outcomes. We argue for the development of a broader comparative research agenda on work-related health inequalities that incorporates life course perspectives.

Association of returning to work with better health in working-aged adults: a systematic review

OBJECTIVES

We systematically reviewed the literature on the impact of returning to work on health among working-aged adults.

METHODS

We searched 6 electronic databases in 2005. We selected longitudinal studies that documented a transition from unemployment to employment and included a comparison group. Two reviewers independently appraised the retrieved literature for potential relevance and methodological quality.

RESULTS

Eighteen studies met our inclusion criteria, including 1 randomized controlled trial. Fifteen studies revealed a beneficial effect of returning to work on health, either demonstrating a significant improvement in health after reemployment or a significant decline in health attributed to continued unemployment. We also found evidence for health selection, suggesting that poor health interferes with people's ability to go back to work. Some evidence suggested that earlier reemployment may be associated with better health.

CONCLUSIONS

Beneficial health effects of returning to work have been documented in a variety of populations, times, and settings. Return-to-work programs may improve not only financial situations but also health.

Employment status and the prevalence of poor self-rated health. Findings from UK individual-level repeated cross-sectional data from 1978 to 2004

OBJECTIVES

To assess, using individual level data, how the proportion of people in different employment statuses may have played a role in the prevalence of poor self-rated health from 1978 to 2004 as there have been major changes in employment patterns in advanced market democracies and employment is an important correlate of health.

DESIGN

Individual-level analysis of repeated cross-sectional surveys.

SETTING

UK.

PARTICIPANTS

125 125 men and 139 535 women of working age (25-59).

OUTCOME MEASURE

Self-rated general health.

RESULTS

Compared to 1978 there was evidence of higher levels of poor health in the subsequent years. For example, in 2004, the prevalence of poor health was 2.8 (95% CI 1.7 to 3.9) and 1.3 (0.1 to 2.5) percentage points higher than 1978 for men and women, respectively, after adjusting for age. After additional adjustment for socio-economic characteristics, annual differences compared to 1978 increased (5.4 (4.2 to 6.5) and 4.4 (3.2 to 5.6) for men and women in 2004). Further adjustment for employment status, however, attenuated the annual differences in poor health (0.7 (-0.3 to 1.7) for men and 1.5 (0.3 to 2.6) for women in 2004).

CONCLUSIONS

These results suggest that the proportion of people in different employment statuses, particularly the proportion in sickness- or disability-related economic inactivity, could play an important role in the prevalence of poor self-rated health in the UK. Whether decreasing economic inactivity would enhance population health is an open question that needs further investigation.

TRIAL REGISTRATION

This observational study was not registered.

Factors affecting trajectory patterns of self-rated health (SRH) in an older population--a community-based longitudinal study

Self-rated health (SRH) is considered a relevant and important predictor for major health outcomes in the older population. SRH status may interact with certain factors and change over a person's lifetime. In this study, we sought to characterize profiles of older people over time by constructing prototypical trajectories of the variable of interest, namely SRH. The underlying assumption was that the collection of observed individual trajectories could be efficiently summarized by a smaller set of latent clusters of those trajectories. Data was obtained from the Longitudinal Survey of Health and Living Status of the Elderly in Taiwan, which was conducted between 1989 and 2003 and included five separate waves of survey. A total of 3937 subjects aged 60 or older (2251 males and 1686 females) comprised the major analytic cohort. Latent Class Growth Analysis (LCGA) was used to identify developmental classes of trajectory patterns in SRH. The results showed that during a 14-year period, SRH developed five major longitudinal trajectories. Less than one-third of the older population was able to maintain their formerly good or moderate health status; when change occurred, decline was more likely than improvement. In addition, LCGA indicated that many demographic characteristics, as well as physical and psychological propensities, were associated with poor SRH in the older population. Specifically, these factors played a role in involving baseline SRH level and its trend toward deterioration in later life. Health care professionals must understand the various longitudinal patterns and factors affecting SRH trajectories if they are to develop programs aimed at maintaining the older population's health and well-being.

International differences in self-reported health measures in 33 major metropolitan areas in Europe

BACKGROUND

The increasing concentration of populations into large conurbations in recent decades has not been matched by international health assessments, which remain largely focused at the country level. We aimed to demonstrate the use of routine survey data to compare the health of large metropolitan centres across Europe and determine the extent to which differences are due to socio-economic factors.

METHODS

Multilevel modelling of health survey data on 126,853 individuals from 33 metropolitan areas in the UK, Republic of Ireland, Sweden, Norway, Finland, Spain, Belgium and Germany compared general health, longstanding illness, acute sickness, psychological distress and obesity with the average for all areas, accounting for education and social class.

RESULTS

We found some areas (Greater Glasgow; Greater Manchester, Cheshire and Merseyside; Northumberland, Tyne and Wear and South Yorkshire) had significantly higher levels of poor health. Other areas (West Flanders and Antwerp) had better than average health. Differences in individual socio-economic circumstances did not explain findings. With a few exceptions, acute sickness levels did not vary.

CONCLUSION

Health tended to be worse in metropolitan areas in the north and west of the UK and the central belt and south east of Germany, and more favourable in Sweden and north west Belgium, even accounting for socio-economic composition of local populations. This study demonstrated that combining national health survey data covering different areas is viable but not without technical difficulties. Future comparisons between European regions should be made using standardized sampling, recruitment and data collection protocols, allowing proper monitoring of health inequalities.

Dynamic heterogeneity and life histories

Biodemography is increasingly focused on the large and persistent differences between individuals within populations in fitness components (age at death, reproductive success) and fitness-related components (health, biomarkers) in humans and other species. To study such variation we propose the use of dynamic models of observable phenotypes of individuals. Phenotypic change in turn determines variation among individuals in their fitness components over the life course. We refer to this dynamic accumulation of fitness differences as dynamic heterogeneity and illustrate it for an animal population in which longitudinal data are studied using multistate capture-mark-recapture models. Although our approach can be applied to any characteristic, for our empirical example we use reproduction as the phenotypic character to define stages. We indicate how our stage-structured model describes the nature of the variation among individual characteristics that is generated by dynamic heterogeneity. We conclude by discussing our ongoing and planned work on animals and humans. We also discuss the connections between our work and recent work on human mortality, disability and health, and life course theory.

Social and cultural meanings of self-rated health: Arab immigrants in the United States

Self-rated health (SRH) is used as an outcome measure in a vast number of epidemiologic studies, yet conceptual research into what the variable captures among diverse ethnic and immigrant groups remains limited. Utilizing data from 46 in-depth interviews among adult Arab immigrants in the United States, we examined the general criteria used to explain an SRH selection and the culturally embedded rationales individuals employ to construct meanings of health. Our findings showed that SRH is determined by two main criteria: presence/absence of health conditions and psychological well-being. In-depth analyses further revealed that Arab immigrants employ culturally embedded rationales to move away from extremes and project a view of good health as a state of balance and poor health as a state of imbalance. Our study adds to the limited conceptual knowledge on the meanings of subjective health evaluations among immigrants, and the findings suggest that exploring rationales provides richer information than focusing on criteria alone.

Worklessness and regional differences in the social gradient in general health: Evidence from the 2001 English census

BACKGROUND

There has been much focus on separating contextual and compositional influences on social inequalities in health. However, there has been less focus on the important role of place in shaping the distribution of risk factors. Spatial variations in worklessness are one such factor. In this paper, then we examine the extent to which between and within regional differences in the social gradient in self-rated general health are associated with differences in rates of worklessness.

METHODS

Data were obtained for men and women of working age (25-59) who had ever worked from the Sample of Anonymised Records (Individual SAR)-a 3% representative sample of the 2001 English Census (349,699 women and 349,181 men). Generalised linear models were used to calculate region and age adjusted prevalence difference for not good health by education (as an indicator of socio-economic status) and employment status. The slope index of an inequality was also calculated for each region.

RESULTS

For both men and women, educational inequalities in worklessness and not good health are largest in those regions with the highest overall levels of worklessness. Adjusting for worklessness considerably attenuated the educational health gradient within all English regions (by over 60%) and virtually eliminated between region differences.

DISCUSSION

Macroeconomic policies, which influence the demand for labour, may have an important role in creating inequalities in general health of the working age population both within and between regions. Employment policy may therefore be one important approach to tackling spatial and socio-economic health inequalities.

Lifetime segmented assimilation trajectories and health outcomes in Latino and other community residents

OBJECTIVES

Under an ecodevelopmental framework, we examined lifetime segmented assimilation trajectories (diverging assimilation pathways influenced by prior life conditions) and related them to quality-of-life indicators in a diverse sample of 258 men in the Phoenix, AZ, metropolitan area.

METHODS

We used a growth mixture model analysis of lifetime changes in socioeconomic status, and used acculturation to identify distinct lifetime segmented assimilation trajectory groups, which we compared on life satisfaction, exercise, and dietary behaviors. We hypothesized that lifetime assimilation change toward mainstream American culture (upward assimilation) would be associated with favorable health outcomes, and downward assimilation change with unfavorable health outcomes.

RESULTS

A growth mixture model latent class analysis identified 4 distinct assimilation trajectory groups. In partial support of the study hypotheses, the extreme upward assimilation trajectory group (the most successful of the assimilation pathways) exhibited the highest life satisfaction and the lowest frequency of unhealthy food consumption.

CONCLUSIONS

Upward segmented assimilation is associated in adulthood with certain positive health outcomes. This may be the first study to model upward and downward lifetime segmented assimilation trajectories, and to associate these with life satisfaction, exercise, and dietary behaviors.

Health disadvantage in US adults aged 50 to 74 years: a comparison of the health of rich and poor Americans with that of Europeans

OBJECTIVES

We compared the health of older US, English, and other European adults, stratified by wealth.

METHODS

Representative samples of adults aged 50 to 74 years were interviewed in 2004 in 10 European countries (n = 17,481), England (n = 6527), and the United States (n = 9940). We calculated prevalence rates of 6 chronic diseases and functional limitations.

RESULTS

American adults reported worse health than did English or European adults. Eighteen percent of Americans reported heart disease, compared with 12% of English and 11% of Europeans. At all wealth levels, Americans were less healthy than were Europeans, but differences were more marked among the poor. Health disparities by wealth were significantly smaller in Europe than in the United States and England. Odds ratios of heart disease in a comparison of the top and bottom wealth tertiles were 1.94 (95% confidence interval [CI] = 1.69, 2.24) in the United States, 2.13 (95% CI = 1.73, 2.62) in England, and 1.38 (95% CI = 1.23, 1.56) in Europe. Smoking, obesity, physical activity levels, and alcohol consumption explained a fraction of health variations.

CONCLUSIONS

American adults are less healthy than Europeans at all wealth levels. The poorest Americans experience the greatest disadvantage relative to Europeans.