Ethnic differences in unemployment and ill health

Objective  The aim of the study is to evaluate whether health inequalities associated with unemployment are comparable across different ethnic groups. Method  A random sample of inhabitants of the city of Rotterdam filled out a questionnaire on health and its determinants, with a response of 55.4% (n = 2,057). In a cross-sectional design the associations of unemployment, ethnicity, and individual characteristics with a perceived poor health were investigated with logistic regression analysis. The associations of these determinants with physical and mental health, measured by the Short Form 36 Health Survey, were evaluated with linear regression analyses. Interactions between ethnicity and unemployment were investigated to determine whether associations of unemployment and health differed across ethnic groups. Results  Ill health was more common among unemployed persons [odds ratio (OR) 2.6; 95% CI 1.7–3.8] than workers in paid employment. Health inequalities between employed and unemployed persons were largest among native Dutch persons (OR = 3.2) and Surinamese/Antillean persons (OR = 2.6), and smaller in Turkish/Moroccan persons (OR = 1.6) and overseas refugees (OR = 1.6). The proportions of persons with poor health that could be attributed to unemployment were 14, 26, 14, and 13%, respectively. Conclusions  Differences in ill health between employed and unemployed persons were less profound in ethnic groups compared to the majority population, but the prevalence of unemployment was much higher in ethnic groups. The population attributable fractions varied between 14 and 28%, supporting the argument that policies for health equity should pay more attention to measures that include persons in the labour market and that prevent workers with ill health from dropping out of the workforce.     

Evolution of socio-economic inequalities in mortality in small geographical areas of the two largest cities in Spain (Barcelona and Madrid), 1996–2007

Objectives

To describe the evolution of socio-economic inequalities in mortality in small areas of two Spanish cities (Barcelona and Madrid) from 1996 to 2001 and from 2002 to 2007.

Study design

A small-area ecological study of trends was performed, in which the units of analysis were census tracts.

Methods

The association between mortality and socio-economic deprivation was assessed through Poisson regression analysis. Models were stratified by sex, age group and period of study. The trend in inequalities in mortality was assessed by introducing an interaction term between deprivation and the period of study.

Results

Mortality in the most-deprived areas was significantly higher than mortality in the less-deprived areas in both periods and most age groups. However, inequalities seemed to diminish in young people and elderly women, especially in Barcelona.

Conclusions

There is a need to monitor inequalities in mortality in the near future because the current financial crisis could change this situation.     

Socioeconomic status, demographics, beliefs and A(H1N1) vaccine uptake in the United States

Early vaccination against influenza viruses is a cost-effective solution to prevent contagion and reduce influenza-related morbidity and mortality. In the face of pandemic viruses, such as the A(H1N1), adequate rates of vaccine uptake play a critical role in containing the spread and effects of the disease. In order to understand the reasons underlying the relatively low 2009-2010 A(H1N1) vaccination rates, we conducted an online survey of 1569 respondents drawn from a nationally representative sample of United States (U.S.) adults age 18, and older. Because prior research suggests that vaccination rates are especially low among some U.S. population subgroups, we oversampled participants from minority ethnic/racial groups and those living under the Federal Poverty Level. Our results show that A(H1N1) vaccine uptake is associated with sociodemographic factors, A(H1N1)-related beliefs and seasonal vaccination. That is, A(H1N1) vaccination is strongly associated with age, urbanicity, perceiving the A(H1N1) vaccine as safe and seasonal flu vaccine uptake. Perceptions of safety and season flu vaccination show the strongest associations with A(H1N1) uptake. The reasons people gave to decline vaccination varied by respondents’ sociodemographic group. For example, Black participants were the most likely ethnic/racial group to reported having tried to get the vaccine but found it unavailable. Together, these findings suggest some clear pointers towards strategic public health communication efforts calling for communication campaigns towards audiences segmented by social class, race/ethnicity and beliefs, often what advertisers call “psychodemographics”.     

Changing places? A comparative analysis of area-based health trends in Scotland through the 1980s and 1990s

OBJECTIVES: Have places in Scotland with the worst/best levels of health and the worst/best experience of health determinants changed since the early 1980s? Twenty-year trends and local-level changes in a selection of health-related indicators were examined to answer this question. STUDY DESIGN AND METHODS: Routine data for seven health-related indicators, principally derived from Scottish government 'social justice milestones', were collated and analysed at postcode-sector level across four 5-year periods covering the 1980s and 1990s. Analysis was carried out by decile, deprivation quintile, individual postcode sector and for selected 'regeneration areas'. RESULTS: There was little change in the ranking of areas with the worst and best health in Scotland over the 20-year period. The worst and best initial deciles remained in those positions throughout, while analysis by deprivation showed that the most disadvantaged areas had become relatively worse over the period. The regeneration areas, with one exception, showed little long-term improvement across the indicators. However, a number of postcode sectors across Scotland did buck this overall trend. CONCLUSIONS: This study confirmed the enduring nature of health differences between areas in Scotland, and provided further evidence of widening health inequalities between affluent and deprived areas. The positive experiences of a small number of areas may warrant further investigation since they may hold important lessons for area-based health improvement. The research highlights the potential of this type of analysis to monitor and evaluate area-based initiatives.     

Socioeconomic status, working conditions and self-rated health in Switzerland: explaining the gradient in men and women

Objectives:  Epidemiological research has confirmed the association between socioeconomic status (SES) and health, but only a few studies considered working conditions in this relationship. This study examined the contribution of physical and psychosocial working conditions in explaining the social gradient in self-rated health. Methods:  A representative sample of 10 101 employees, 5003 women and 5098 men, from the Swiss national health survey 2002 was used. SES was assessed according to the EGP-scheme. Working conditions included exposure to physical disturbances, physical strain, job insecurity, monotonous work and handling simultaneous tasks. For data analysis logistic regression analyses were performed. Results:  Data show a social gradient for self-rated health (SRH) as well as for physical and psychosocial working conditions. Logistic regression analysis controlling for age, gender and level of employment showed both physical and psychosocial working conditions to be significant predictors of SRH. Physical and psychosocial working conditions such as physical disturbances from work environment, physical strains in doing the job, monotony at work, job insecurity etc. could explain most of the social gradient of SRH in men and women. Conclusion:  The study confirmed the relevance of modifiable physical and psychosocial working conditions for reducing social inequality in health. Gender differences need to be considered in epidemiological and intervention studies. Submitted: 24 August 2007; revised: 06 May 2008, 11 August 2008; accepted: 19 October 2008     

Optimal soaring via Hamilton–Jacobi–Bellman equations

Competition glider flying is a game of stochastic optimization, in which mathematics and quantitative strategies have historically played an important role. We address the problem of uncertain future atmospheric conditions by constructing a nonlinear Hamilton–Jacobi–Bellman equation for the optimal speed to fly, with a free boundary describing the climb/cruise decision. We consider two different forms of knowledge about future atmospheric conditions, the first in which the pilot has complete foreknowledge and the second in which the state of the atmosphere is a Markov process discovered by flying through it. We compute an accurate numerical solution by designing a robust monotone finite difference method. The results obtained are of direct applicability for glider flight. Copyright © 2014 John Wiley & Sons, Ltd.     

County level socioeconomic position, work organization and depression disorder: a repeated measures cross-classified multilevel analysis of low-income nursing home workers

This study simultaneously tests the effect of county, organizational, workplace, and individual level variables on depressive disorders among low-income nursing assistants employed in US nursing homes. A total of 482 observations are used from two waves of survey data collection, with an average two-year interval between initial and follow-up surveys. The overall response rate was 62 percent. The hierarchically structured data was analyzed using multilevel modeling to account for cross-classifications across levels of data. Nursing assistants working in nursing homes covered by a single union in three states were asked about aspects of their working conditions, job stress, physical and mental health status, individual and family health-care needs, household economics and household strain. PARTICIPANTS: The 241 nursing assistants who participated in this study were employed in 34 nursing homes and lived in 49 counties of West Virginia, Ohio and Kentucky. MAIN RESULTS: The study finds that emotional strain, related to providing direct care to elderly and disabled clients, is associated with depressive disorder, as is nursing home ownership type (for-profit versus not-for-profit). However, when controlling for county level socioeconomic variables (Gini index and proportion of African Americans living in the county), neither workplace nor organizational level variables were found to be statistically significant associated with depressive disorder. CONCLUSIONS: This study supports previous findings that emotional demand in health-care environments is an important correlate of mental health. It also adds empirical evidence to support a link between financial strain and depression in US women. While this study does not find that lack of a seniority wage benefits--a factor that can conceivably exacerbate financial strain over time--is associated with depressive disorder among low-income health-care workers, it does find county level measures of poverty to be statistically significant predictors of depressive disorder. Longitudinal county level measures of low-income as predictors of depression may even offer a methodological advantage in that they are presumably more stable indicators of cumulative exposure of low income than are more transient workplace indicators. Incorporating measures of cumulative exposure to low income into empirical studies would be particularly timely given the global changes that are currently restructuring the labor force and influencing work organization and labor processes--most notably the growth in low income jobs and the deskilling of labor. Though this study provides evidence that workplace and organizational level variables are associated with depressive disorder among low-wage nursing assistants in US nursing homes, the fact that these relationships do not hold once county level measures of poverty are controlled for, suggests that more distal upstream determinants of workplace mental health problems, such economic inequality, may be at play in determining the mental health of low wage workers.     

The contextual development of healthy living centres services: an examination of food-related initiatives

The Healthy Living Centre (HLC) programme was designed to address the wider determinants of health, in particular social exclusion and socio-economic disadvantage, through targeting services at the most deprived local communities. This paper draws on data collected during an in-depth process evaluation of six Scottish HLC case study sites. Food-related services, which were found to cross-cut all the sites, were used to address social exclusion and to promote health. Three types of service, each linked to a social model of health, were found to be in operation: those which enhance skills; those which promote social inclusion; and those which influence food accessibility. The paper illustrates how food-related services have developed in the case study HLCs to take account of the differing needs of the communities and neighbourhoods that have been targeted. Consideration is then given to how HLCs adapt to meet the practicalities of improving health while addressing social exclusion through targeting health inequalities.     

Complexity theory and geographies of health: a critical assessment

The interest of social scientists in complexity theory has developed rapidly in recent years. Here, I consider briefly the primary characteristics of complexity theory, with particular emphasis given to relations and networks, non-linearity, emergence, and hybrids. I assess the 'added value' compared with other, existing perspectives that emphasise relationality and connectedness. I also consider the philosophical underpinnings of complexity theory and its reliance on metaphor. As a vehicle for moving away from reductionist accounts, complexity theory potentially has much to say to those interested in research on health inequalities, spatial diffusion, emerging and resurgent infections, and risk. These and other applications in health geography that have invoked complexity theory are examined in the paper. Finally, I consider some of the missing elements in complexity theory and argue that while it is refreshing to see a fruitful line of theoretical debate in health geography, we need good empirical work to illuminate it.     

Social inequalities in perinatal mortality in a Southern European city

The objective of this study was to describe and explain inequalities in perinatal mortality by educational level and occupational social class in Barcelona for the years 1993–1997. This was a case–control study. Cases were singleton perinatal deaths, controls were singleton live births obtained from a 2% random sample of births. The association among educational level, social class, other confounding and explanatory variables and perinatal mortality was studied through crude and adjusted odds ratios (OR) obtained by logistic regression. The study comprised 423 cases and 1032 controls. The model with mother's age and educational level showed that women with primary education had an OR of 1.75 (95% CI: 1.26–2.42), this association disappearing when explanatory variables were included. We also found inequalities by educational level in fetal mortality. These results point out the need to improve the living conditions, behavioural factors and also the management of pregnancy, labour and the health care of the newborn of these mothers with greater risk.