Do social support and community engagement act as mechanisms in the association between neighbourhood income inequality and the mental health of mothers in Calgary,Canada? A mediation analysis

PurposeAccording to the social determinants of health framework, income inequality is a potential risk factor for adverse mental health. However, few studies have explored the mechanisms suspected to mediate this relationship. The current study addresses this gap through a mediation analysis to determine if social support and community engagement act as mediators linking neighbourhood income inequality to maternal anxiety and depressive symptoms within a cohort of new mothers living in the City of Calgary, Canada.MethodsData collected at three years postpartum from mothers belonging to the All Our Families (AOF) cohort were used in the current study. Maternal data were collected between 2012 and 2015 and linked to neighbourhood socioeconomic data from the 2006 Canadian Census. Income inequality was measured using Gini coefficients derived from 2006 after-tax census data. Generalized structural equation models were used to quantify the associations between income inequality and mental health symptoms, and to assess the potential direct and indirect mediating effects of maternal social support and community engagement.ResultsIncome inequality was not significantly associated with higher depressive symptoms (β = 0.32, 95%CI = −0.067, 0.70), anxiety symptoms (β = 0.11, 95%CI = −0.39, 0.60), or lower social support. Income inequality was not associated with community engagement. For the depression models, higher social support was significantly associated with lower depressive symptoms (β = −0.13, 95%CI = −0.15, −0.097), while community engagement was not significantly associated with depressive symptoms (β = 0.059, 95%CI = −0.15, 0.27). Similarly, for the anxiety models, lower anxiety symptoms were significantly associated with higher levels of social support (β = −0.17, 95%CI = −0.20, −0.13) but not with higher levels of community engagement (β = 0.14, 95%CI = −0.14, 0.41).ConclusionThe current study did not find clear evidence for social support or community engagement mediating the relationship between neighbourhood income inequality and maternal mental health. Future investigations should employ a broader longitudinal approach to capture changes in income inequality, potential mediators, and mental health symptomatology over time.     

The Impact of Community Diversity and Consolidated Inequality on Dropping Out of High School

Abstract: Data from the National Education Longitudinal Study were combined with census data at the zip code level to examine the impact of neighborhood racial and ethnic diversity and consolidated inequality, in addition to individual, family, and school factors, on the likelihood of dropping out of high school. Results indicate that while the effects for diversity and consolidated inequality did not support the stated hypotheses, main effects for family risk and prior academic achievement were significant and in the stated direction. Also, when controlling for individual, family, school, and neighborhood characteristics, African Americans were less likely than White students to drop out of school. Implications for contextual effects research and educational outcomes are discussed.     

Is Health Inequality Across Individuals of Moral Concern?

The history of the documentation of health inequality is long. The way in which health inequality has customarily been documented is by comparing differences in the average health across groups, for example, by sex or gender, income, education, occupation, or geographic region. In the controversial World Health Report 2000, researchers at the World Health Organization criticized this traditional practice and proposed to measure health inequality across individuals irrespective of individuals’ group affiliation. They defended its proposal on the moral grounds without clear explanation. In this paper I ask: is health inequality across individuals of moral concern, and, if so, why? Clarification of these questions is crucial for meaningful interpretation of health inequality measured across individuals. Only if there was something morally problematic in health inequality across individuals, its reduction would be good news. Specifically, in this paper I provide three arguments for the moral significance of health inequality across individuals: (a) health is special, (b) health equity plays an important and unique role in the general pursuit of justice, and (c) health inequality is an indicator of general injustice in society. I then discuss three key questions to examine the validity of these arguments: (i) how special is health?, (ii) how good is health as an indicator?, and (iii) what do we mean by injustice? I conclude that health inequality across individuals is of moral interest with the arguments (b) and (c).     

On the Importance of Age-Adjustment Methods in Ecological Studies of Social Determinants of Mortality

Objective. To illustrate the potential sensitivity of ecological associations between mortality and certain socioeconomic factors to different methods of age-adjustment.
Data Sources. Secondary analysis employing state-level data from several publicly available sources. Crude and age-adjusted mortality rates for 1990 are obtained from the U.S. Centers for Disease Control. The Gini coefficient for family income and percent of persons below the federal poverty line are from the U.S. Bureau of Labor Statistics. Putnam's (2000) Social Capital Index was downloaded from http://www.bowlingalone.com ; the Social Mistrust Index was calculated from responses to the General Social Survey, following the method described in Kawachi et al. (1997) . All other covariates are obtained from the U.S. Census Bureau.
Study Design. We use least squares regression to estimate the effect of several state-level socioeconomic factors on mortality rates. We examine whether these statistical associations are sensitive to the use of alternative methods of accounting for the different age composition of state populations. Following several previous studies, we present results for the case when only mortality rates are age-adjusted. We contrast these results with those obtained from regressions of crude mortality on age variables.
Principal Findings. Different age-adjustment methods can cause a change in the sign or statistical significance of the association between mortality and various socioeconomic factors. When age variables are included as regressors, we find no significant association between mortality and either income inequality, minority racial concentration, or social capital.
Conclusions. Ecological associations between certain socioeconomic factors and mortality may be extremely sensitive to different age-adjustment methods.     

Black–white racial disparities in household food insecurity from 2005 to 2014, Canada

ObjectivesTo understand the differential vulnerability to household food insecurity of the Black population as compared with white counterparts in Canada.MethodsUsing data for households with Black and white respondents in pooled Canadian Community Health Survey cycles from 2005 to 2014, the 18-question Household Food Security Survey Module was analyzed (N = 491,400). Bivariate and multivariate logistic and multinomial regression models were run using respondent’s race, immigration status, and six well-established predictors of household food insecurity in the general population. Additional multivariable logistic regression models were run, with race interacted with each predictor individually to yield predicted probabilities.ResultsThe weighted prevalence of household food insecurity was 10.0% for white respondents and 28.4% for Black respondents. The odds of Black households being food-insecure as compared with white households fell from 3.56 (95% CI: 3.30–3.85) to 1.88 (95% CI: 1.70–2.08) with adjustment for household socio-demographic characteristics. In contrast with white households, there was relative homogeneity of risk of food insecurity among Black subgroups defined by immigration status, household composition, education, and province of residence. Homeownership was associated with lower probabilities of food insecurity for Black and white households, but the probability among Black owners was similar to that for white renters (14.7% vs. 14.3%). Black households had significantly higher predicted probabilities of food insecurity than their white counterparts across all main sources of household income except child benefits and social assistance.ConclusionBeing racialized as Black appears to be an overriding factor shaping vulnerability to food insecurity for the Black population in Canada. Future research and public policy on food insecurity should seriously consider the role of racism at the systemic and institutional levels.     

Feeding inequality: food insecurity,social status and college student health

A growing but limited body of research has identified the college student population as one that is particularly vulnerable to food insecurity. Early estimates of food insecurity prevalence among college students range from 14 to 60 per cent. The present study utilises original survey data collected from a random sample (n = 300) of college students enrolled at an urban university in the Midwest region of the United States of America (USA). This study examines the impact of food insecurity on health outcomes and the mediation of this relationship by subjective social status among college students. Ordinary least squares (OLS) and logistic regression analyses find that food insecurity is related to worse self-rated, physical and mental health among college students, and Sobel-Goodman tests find that subjective social status plays a significant mediating role in the relationship between food insecurity and health among college students. The implications of these findings in a university context are discussed using a psychosocial framework and insights from the stress process model. In doing so, I discuss food insecurity among college students with an emphasis on the social significance of food and food insecurity.     

Working conditions and health behavior as causes of educational inequalities in self-rated health: an inverse odds weighting approach

Objective:Using a novel mediation method that presents unbiased results even in the presence of exposure–mediator interactions, this study estimated the extent to which working conditions and health behaviors contribute to educational inequalities in self-rated health in the workforce.Methods:Respondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 16 countries were selected, aged 50–64 years, in paid employment at baseline and with information on education and self-rated health (N=15 028). Education, health behaviors [including body mass index (BMI)] and working conditions were measured at baseline and self-rated health at baseline and two-year follow-up. Causal mediation analysis with inverse odds weighting was used to estimate the total effect of education on self-rated health, decomposed into a natural direct effect (NDE) and natural indirect effect (NIE).Results:Lower educated workers were more likely to perceive their health as poor than higher educated workers [relative risk (RR) 1.48, 95% confidence interval (CI) 1.37–1.60]. They were also more likely to have unfavorable working conditions and unhealthy behaviors, except for alcohol consumption. When all working conditions were included, the remaining NDE was RR 1.30 (95% CI 1.15–1.44). When BMI and health behaviors were included, the remaining NDE was RR 1.40 (95% CI 1.27–1.54). Working conditions explained 38% and health behaviors and BMI explained 16% of educational inequalities in health. Including all mediators explained 64% of educational inequalities in self-rated health.Conclusions:Working conditions and health behaviors explain over half of the educational inequalities in self-rated health. To reduce health inequalities, improving working conditions seems to be more important than introducing health promotion programs in the workforce.     

Perinatal outcome and the social contract: Interrelationships between health and society

Abstract Rates of infant mortality and prematurity or low birthweight serve as indirect measures of the health of a nation. This paper presents current population data documenting the still serious problem of perinatal outcome in the USA as well as in other economically developed countries. International comparisons suggest that nations which have the greatest inequality of income and social opportunity also have the most adverse perinatal, child and adult health outcomes. Furthermore, the data assert that these effects are independent of average national wealth or gross national economic productivity. Health status differs by social class and race, even among the most affluent sectors of the population. All social classes, even the wealthiest, suffer the health consequences of social inequalities. An explanatory socio-psychological theory of causality is proposed.     

上海市人群自报健康分布的综合测量(三)

基于经HOPIT模型校正后的上海市嘉定、宝山、金山和崇明4区(县)的人群自报健康资料，应用伤残集中指数进行人群自报健康分布的综合测量研究。结果表明，在样本地区存在收入相关健康不平等，并提示改善低收入人群的经济状况，特别是收入状况对改善健康的重要性。     

Social class, income, education, area of residence and psychological distress: does social class have an independent effect on psychological distress in Antalya, Turkey?

  Aim: The aim of this study is to determine the separate effects of social class, income, education and area of residence on psychological distress. The study also assesses whether the association between prevalence of high score on the 12-item General Health Questionnaire (GHQ 12) and social class is independent of other variables. Method: Psychological distress was assessed by means of the GHQ 12. The study covered 1092 adults aged 15 years or more living in two different quarters of Antalya. Social class status was defined by occupational position, with income, education and area of residence treated as confounders. Chi-square and logistic regression analyses were used to evaluate the data. Results: Large inequalities in psychological distress by all variables were observed. Psychological distress was significantly associated with class status, after adjusting for income, education, area of residence and other potential confounders (age, sex and marital status). Class inequalities in psychological distress were observed between blue-collar workers/unqualified employees and bourgeoisie. Conclusions: These findings support the view that the recent widening of inequalities among social classes in Turkey pose a substantial threat to health. Accepted: 5 November 1999