National Income and Income Inequality,Family Affluence and Life Satisfaction Among 13 year Old Boys and Girls: A Multilevel Study in 35 Countries

Adolescence is a critical period where many patterns of health and health behaviour are formed. The objective of this study was to investigate cross-national variation in the relationship between family affluence and adolescent life satisfaction, and the impact of national income and income inequality on this relationship. Data from the 2006 Health Behaviour in School-aged Children: WHO collaborative Study (N = 58,352 across 35 countries) were analysed using multilevel linear and logistic regression analyses for outcome measures life satisfaction score and binary high/low life satisfaction. National income and income inequality were associated with aggregated life satisfaction score and prevalence of high life satisfaction. Within-country socioeconomic inequalities in life satisfaction existed even after adjustment for family structure. This relationship was curvilinear and varied cross-nationally. Socioeconomic inequalities were greatest in poor countries and in countries with unequal income distribution. GDP (PPP US$) and Gini did not explain between country variance in socioeconomic inequalities in life satisfaction. The existence of, and variation in, within-country socioeconomic inequalities in adolescent life satisfaction highlights the importance of identifying and addressing mediating factors during this life stage.     

Measuring socioeconomic status in health research in developing countries: Should we be focusing on households,communities or both?

Research on the effects of socioeconomic well-being on health is important for policy makers in developing countries, where limited resources make it crucial to use existing health care resources to the best advantage. This paper develops and tests a set of measures of socioeconomic status indicators for predicting health status in developing countries. We construct socioeconomic indexes that capture both household and community attributes so as to allow us to separate the social from the purely economic dimensions of the socioeconomic status within a cross-national perspective, with applications to data from Demographic and Health Surveys (DHS) fielded in five African countries in the 1990s. This study demonstrates the distinctive contributions of socioeconomic indexes measured at the household vs. community level in understanding inequalities in health and survival and underlines the importance of going beyond the purely economic view of socioeconomic status to cover the multidimensional as well as multilevel concept of economic and social inequality.     

Individual- and Neighbourhood-Level Indicators of Subjective Well-Being in a Small and Poor Eastern Cape Township: The Effect of Health,Social Capital,Marital Status,and Income

Our study used multilevel regression analysis to identify individual- and neighbourhood-level factors that determine individual-level subjective well-being in Rhini, a deprived suburb of Grahamstown in the Eastern Cape province of South Africa. The Townsend index and Gini coefficient were used to investigate whether contextual neighbourhood-level differences in socioeconomic status determined individual-level subjective well-being. Crime experience, health status, social capital, and demographic variables were assessed at the individual level. The indicators of subjective well-being were estimated with a two-level random-intercepts and fixed slopes model. Social capital, health and marital status (all p < .001), followed by income level (p < .01) and the Townsend score (p < .05) were significantly related to individual-level subjective well-being outcomes. Our findings showed that individual-level subjective well-being is influenced by neighbourhood-level socioeconomic status as measured by the Townsend deprivation score. Individuals reported higher levels of subjective well-being in less deprived neighbourhoods. Here we wish to highlight the role of context for subjective well-being, and to suggest that subjective well-being outcomes may also be defined in ecological terms. We hope the findings are useful for implementing programs and interventions designed to achieve greater subjective well-being for people living in deprived areas.     

Book Reviews

Using cross-sectional data from Ghana, Malaw i, Nigeria, Tanzania, Zambia, and Zimbabwe, a multilevel analysis was performed to determine the extent of correlation of nutritional status between children in the same family and geographical area. Weight-for-age z-scores were used as a measure of nutritional status for children up to three years of age. The percentage of children who were under-weight ranged from 16 in Zimbabwe up to 36 in Nigeria. The effects of socioeconomic factors and individual characteristics on nutritional status between countries varied. However in all six countries, the child's age was the most important factor associated with nutritional status. A clustering effect at the household level was found in all six countries, ranging from 24 per cent in Tanzania and Zimbabwe to 40 per cent in Malaw i. There was also a significant, but smaller, clustering effect at community level for Malaw i, Nigeria, Tanzania, and Zambia.     

Socioeconomic Inequalities in Infant Mortality in Egypt: Analyzing Trends Between 1995 and 2014

This paper analyses the trend of the socioeconomic inequalities in infant mortality rates in Egypt over the period 1995–2014, using repeated cross-sectional data from the National Demographic and Health Survey. A multivariate logistic regression and concentration indices are used to examine the demographic and socioeconomic correlates of infant mortality, and how the degree of socioeconomic disparities in child mortality rates has evolved over time. We find a significant drop in infant mortality rates from 63 deaths per 1000 live births in 1995 to 22 deaths per 1000 live births in 2014. However, analyzing trends over the study period reveals no corresponding progress in narrowing the socioeconomic disparities in childhood mortality. Infant mortality rates remain higher in rural areas and among low-income families than the national average. Results show an inverse association between infant mortality rates and living standard measures, with the poor bearing the largest burden of early child mortality. Though the estimated concentration indices show a decline in the degree of socioeconomic inequality in child mortality rates over time, infant mortality rate among the poor remains twice the rate of the richest wealth quintile. Nonetheless, this decline in the degree of socioeconomic inequality in child mortality is not supported by the results of the multivariate logistic regression model. Results of the logistic model show higher odds of infant mortality among rural households, children who are twins, households with risky birth intervals. We find no statistically significant association between infant mortality and child’s sex, access to safe water, mothers’ work, and mothers’ nutritional status. Infant mortality is negatively associated with household wealth and regular health care during pregnancy. Concerted effort and targeting intervention measures are still needed to reduce the degree of socioeconomic and regional inequalities in child health, including infant mortality, in Egypt.     

Comparing relative effects of education and economic resources on infant mortality in developing countries

Research on the social determinants of health has often considered education and economic resources as separate indicators of socioeconomic status. From a policy perspective, however, it is important to understand the relative strength of the effect of these social factors on health outcomes, particularly in developing countries. It is also important to examine not only the impact of education and economic resources of individuals, but also whether community and country levels of these factors affect health outcomes. This analysis uses multilevel regression models to assess the relative effects of education and economic resources on infant mortality at the family, community, and country level using data from demographic and Health Surveys in 43 low-and lower-middle-income countries. We find strong effects for both per capita gross national income and completed secondary education at the country level, but a greater impact of education within families and communities.     

Overeducation,Skills and Wage Penalty: Evidence for Spain Using PIAAC Data

Despite well documented high levels of socioeconomic inequalities, health gradients by socioeconomic status (SES) in contemporary China have been reported to be limited. Using data from the 2010–2012 China Family Panel Studies, we reexamine associations between three sets of SES—human capital, material conditions, and political capital—and self-rated health among Chinese adults 18–70 years old, capitalizing on anchoring vignette data to adjust for reporting heterogeneity. We find strong evidence of substantial variations in reporting behaviors by education, cognition, and family wealth but not by family income or political capital. Failing to correct for reporting heterogeneity can bias the estimates of SES gradients in self-rated health as much as nearly 40 %. After vignette adjustment, we find significantly positive associations of education, family income, wealth, and political capital with self-rated health. Individuals’ cognitive capacity, however, does not predict self-rated health.     

Prenatal Health,Educational Attainment,and Intergenerational Inequality: The Northern Finland Birth Cohort 1966 Study

In this article, we study the effects of prenatal health on educational attainment and on the reproduction of family background inequalities in education. Using Finnish birth cohort data, we analyze several maternal and fetal health variables, many of which have not been featured in the literature on long-term socioeconomic effects of health despite the effects of these variables on birth and short-term health outcomes. We find strong negative effects of mother’s prenatal smoking on educational attainment, which are stronger if the mother smoked heavily but are not significant if she quit during the first trimester. Anemia during pregnancy is also associated with lower levels of attained education. Other indicators of prenatal health (pre-pregnancy obesity, mother’s antenatal depressed mood, hypertension and preeclampsia, early prenatal care visits, premature birth, and small size for gestational age) do not predict educational attainment. Our measures explain little of the educational inequalities by parents’ class or education. However, smoking explains 12%—and all health variables together, 19%—of the lower educational attainment of children born to unmarried mothers. Our findings point to the usefulness of proximate health measures in addition to general ones. They also point to the potentially important role played by early health in intergenerational processes.     

Sociodemographic Differentials of the Self-rated Health of the Oldest-old Chinese

This study explores the correlation between sociodemographic factors and theself-rated health status of the oldest-old Chinese (80 and older). The data werefrom the Healthy Longevity Survey in China conducted in 1998. We applied astereotype ordered regression model to capture the ordinal nature of the responsevariable. We found that age group, sex, living arrangement, educational attainment,and occupational history were associated significantly with the self-rated healthstatus of the oldest-old Chinese, and the elderly with lower social status tended tonegatively evaluate health status. We reached the conclusions after controlling suchvariables as the capacity of physical performance of daily activities and chronic diseases.     

Health Measurement in Population Surveys: Combining Information from Self-reported and Observer-Measured Health Indicators

Our primary aim is to develop and validate a population health metric for survey-based health assessment that combines information from both self-reported and observer-measured health indicators. A secondary objective is to use this index to examine gender and socioeconomic differentials in the health status of older people. We use data from the second wave of the English Longitudinal Study of Ageing (ELSA) conducted in 2004 (N = 8,870). Information from three observer-measured and three self-reported health indicators was combined, using a latent variable modeling approach. A model that decomposed the manifest health indicators to valid health, systematic error, and random error was found to fit the data best. The latent health dimension represented somatic health, and was tested against three external criteria: height, waist-hip ratio, and smoking status. We present the Latent Index of Somatic Health (LISH), as well as a procedure for deriving the LISH in surveys employing both self- and observer-measured health indicators. Observer-measured and self-reported indicators were found to be equally biased in indexing population somatic health, with the exception of self-reports of functional limitations, which was the most reliable somatic health indicator. As expected, results showed that women had worse health than men and that socioeconomic advantage is associated with better somatic health.     

Family and neighborhood sources of socioeconomic inequality in children’s achievement

We examined family and neighborhood sources of socioeconomic inequality in children’s reading and mathematics achievement using data from the 2000–2001 Los Angeles Family and Neighborhood Survey. To describe inequality in achievement scores, we used Gini coefficients and concentration indices and multilevel regression models. We found no inequality in children’s achievement by family income when other variables in the model were held constant. Mother’s reading scores and average neighborhood levels of income accounted for the largest proportion of inequality in children’s achievement. Neighborhood economic status appears to be strongly associated with children’s skills acquisition.     

The Relevance of Objective and Subjective Social Position for Self-Rated Health: A Combined Approach for the Swedish Context

The study investigates the health effects of subjective class position stratified by objective social position. Four types of subjective class were analysed separately for individuals with manual or non-manual occupational background. The cross-sectional analysis is based on the Swedish Level-of-Living Survey from 2000 and includes 4,139 individuals. The dataset comprises information on perceived class affinity and occupational position that was combined to conduct logistic regression models on self-rated health. An inverse relationship between self-rated health and the eight combinations of objective and subjective social position was found. Lower socio-economic position was associated with poor health. The largest adverse health effects were found for lower subjective social position in combination with lower occupational position. When the covariates education, father’s occupational position and income were added to the model, adverse effects on health remained only for females. Subjective social position helps to explain health inequalities. Substantial gender differences were found. It can be assumed that subjective class position captures a wide range of perceived inequalities and therefore complements the measure of occupational position.     

Serious psychological distress,sex, and falls among the elderly

Serious psychological distress and falls are two major public health problems among the elderly. This study aims to test the hypothesis that although serious psychological distress can increase the risks of falls among the elderly, it tends to affect elderly women more than elderly men. Data of this study are from the 2011 California Health Survey Interviews (CHIS). We extracted a sample of 13,153 respondents aged 65 and older for this study, including 8,087 females and 5,066 males. We tested both unadjusted and adjusted interaction effects using bivariate and multivariate logistic regression analysis. Elderly women with serious psychological distress had the greatest likelihood of falls as compared to men with serious psychological distress and men and women without serious psychological distress. With respect to the covariates, limitations of physical activity and poor self-rated health status, Asian race, and older age were more likely to be associated with falls. This study provides further information on sex disparities of falls among the elderly such that serious psychological distress has a greater impact on falls for elderly women than elderly men. Thus, the findings of our studies suggest that mental health services and intervention can be useful to prevent falls for elderly women.     

Reproducing inequalities: Luck, wallets, and the enduring effects of childhood health

In this article, I argue that research on social stratification, on intergenerational transmission of inequalities, and on the theory of factor payments and wage determination will be strengthened by studying the role played by early childhood health. I show that the inclusion of such a factor requires researchers to integrate theories in each of these fields with new theories linking early childhood health conditions and events that occur at later stages in the life course of individuals, particularly physical and mental health as well as disability and mortality. The empirical evidence I gather shows that early childhood health matters for the achievement of or social accession to, adult social class positions. Even if the magnitude of associations is not overwhelming, it is not weaker than that found between adult social accession and other, more conventional and better-studied individual characteristics, such as educational attainment. It is very likely that the evidence presented in this article grossly underplays the importance of early childhood health for adult socioeconomic achievement.     

老年残疾人身份认同问题研究

身份认同是老年残疾人精神心理问题的一个重要方面。结合北京市老年残疾人入户访谈调查相关资料,对老年残疾人身份认同的基本内涵、特征、应对策略等方面进行了分析,并从人口学和社会学的角度对其特征进行了探讨。认为,老年残疾人的身份认同主要集中在个体认同、自我身份认同、群体认同与社会身份认同等四个方面;老年残疾人的身份认同对其日常生活以及生活质量均具有重要影响;弱化老年残疾人的弱势认同,增强老年残疾人的集群认同感,优化老年残疾人的社会人身份认同感,是改善老年残疾人精神心理状态、提升其生活质量的重要途径。     

中国老年人临终前 生活自理能力的衰退轨迹

本文以老年人为研究对象,以基本生活自理能力(ADL)为测量指标,使用"中国老年健康长寿影响因素跟踪调查"(CLHLS)数据,分析在1998-2014年期间去世的老年人群临终前的生活自理能力的变化轨迹。作者利用组基轨迹模型对男性和女性老年人的生活自理能力变化过程分别进行拟合,发现老年人在临终前的生活自理能力存在显著差异并归纳出三种变化轨迹:生活自理能力完好型、快速发展型和缓慢下降型。研究发现生命历程早期阶段的经历、所处的社会经济状况、年龄效应和队列效应都会对生活自理能力的衰退轨迹产生显著影响。增龄带来的生活自理能力下降使老年人临终前的失能风险及其持续时间增加,而较晚的出生队列在临终前出现长时间失能的可能性较低。在三类轨迹中,自理能力缓慢下降型轨迹受到各种因素的影响最为显著,而该类型的出现概率是影响失能老年人照料负担的主要因素,由此也证明了除去年龄效应与性别差异之外,由社会经济状况、健康行为习惯、生活环境等因素合力产生的健康保护作用将会在失能老年人照料负担增长过程中发挥主导作用。研究还发现老年女性在临终前会面临更高的失能风险和更长时间的失能存活期,其生活自理能力变化过程受到更多因素的影响。     

Neighborhood Concentrated Disadvantage and Adult Mortality: Insights for Racial and Ethnic Differences

While racial and ethnic differences in mortality are pervasive and well documented, less is known about how mortality risk varies by neighborhood socioeconomic status across racial and ethnic identity. We conducted a prospective analysis on a sample of adults living at or below 300% poverty with 8 years of the National Health Interview Survey (N = 159,400) linked to 11,600 deaths to examine the association between neighborhood disadvantage and mortality for non-Hispanic whites, non-Hispanic blacks, and U.S.- and foreign-born Hispanics. Using multilevel logistic regression, we find that the probability of death from any cause for lower-income adults is higher in more-disadvantaged neighborhoods, compared to less-disadvantaged neighborhoods, but only for whites. The adjusted likelihood of death for blacks and foreign-born Hispanics is not associated with neighborhood disadvantage, and the likelihood of death for U.S.-born Hispanics is lower in more-disadvantaged neighborhoods. While future research and policy should focus on improving health-promoting resources in all communities, care should be given to better understanding why race/ethnic groups have differential mortality returns with respect to area-specific socioeconomic conditions.     

Heat and adult health in China

Given projected increases in the frequency of precipitation and temperature extremes in China, we examine the extent adults may be vulnerable to climate anomalies. We link nutrition, health, and economic data from the China Health and Nutrition Survey (1989–2011) to gridded climate data to identify which socioeconomic outcomes are particularly susceptible, including adult underweight incidence, body mass index, dietary intake, physical activity, illness, income, and food prices. We find warm temperatures augment the probability of being underweight among adults, with a particularly large impact for the elderly (ages >?60). Extremely dry and warm conditions produce a 3.3-percentage point increase in underweight status for this group. Consequences on nutrition coincide with changes in illness rather than dietary, income, or purchasing power shifts. Social protection targeting areas prone to excessive heat may consider supplementing bundles of goods with a suite of health care provisions catering to the elderly.