Perceptions of greenspace and social determinants of health across the life course: The Life Course Sociodemographics and Neighborhood Questionnaire (LSNEQ)

We developed the Life Course Sociodemographics and Neighborhood Questionnaire (LSNEQ) to query older adults about perceived neighborhood greenspaces across the life course (i.e., distance to park, number of neighborhood parks/playgrounds, and neighborhood greenness) and about characteristics hypothesized to confound or moderate/mediate greenspace-health associations. Six perceived life course indices are derived from the LSNEQ: neighborhood socioeconomic status, neighborhood walking/biking, urbanicity, neighborhood amenities, neighborhood park access, and neighborhood greenness. Older adults from St. Louis, Missouri, and Sacramento, California, completed the LSNEQ in 2020–2021. The indices demonstrated borderline acceptable to good internal consistency (alpha = 0.60–0.79) and good to excellent test-retest reliability (ICC = 0.71–0.96) and detected different patterns of park access and neighborhood greenness by racialized group and location. Individuals with index scores indicating more neighborhood walking/biking and greater presence of neighborhood amenities over their life course were more likely to report neighborhood-based walking in older age. Overall, the LSNEQ is a reliable instrument to assess perceptions of life course social determinants of health including neighborhood greenspaces.     

Unemployment and self-rated health: Neighborhood influence

This work contributes to the study of the relationship between health, work and context by investigating the interaction between them in Brazil, a country with great social inequalities. It investigates whether unemployment and socioeconomic characteristics of the neighborhoods in which people live are associated with poor self-rated health after adjustment for individual sociodemographic characteristics, behavioral risk factors and health status. Moreover, it tests whether living in an area of socioeconomic deprivation modifies the association between unemployment and self-rated health.     

Framing disease: an underappreciated mechanism for the social patterning of health

The emerging fields of social epidemiology and population health seek to understand the social determinants of health. Especially, with regards to how income inequality causes health disparities, attention has been focused on material and psychosocial mechanisms. I use examples from the epidemiological and social science literature to argue for a third broad etiological framework: the role played by the ways we generally recognize, define, name, and categorize disease states and attribute them to a cause or set of causes. These framing effects shape population health by influencing: health and illness beliefs; patterns of consumption and other behaviors; perceptions of what interventions and policies work; class, ethnic, and other social dynamics; and clinical and public health practices. Important characteristics of many framing phenomena are their capacity to be self-perpetuating and their performative power. A better understanding of framing effects can lead to deploying them more deliberatively and flexibly to improve individual and population health.     

Climate change and human health: impacts, vulnerability and public health

It is now widely accepted that climate change is occurring as a result of the accumulation of greenhouse gases in the atmosphere arising from the combustion of fossil fuels. Climate change may affect health through a range of pathways, for example as a result of increased frequency and intensity of heat waves, reduction in cold related deaths, increased floods and droughts, changes in the distribution of vector-borne diseases and effects on the risk of disasters and malnutrition. The overall balance of effects on health is likely to be negative and populations in low-income countries are likely to be particularly vulnerable to the adverse effects. The experience of the 2003 heat wave in Europe shows that high-income countries may also be adversely affected. Adaptation to climate change requires public health strategies and improved surveillance. Mitigation of climate change by reducing the use of fossil fuels and increasing a number of uses of the renewable energy technologies should improve health in the near-term by reducing exposure to air pollution.     

Family functioning as a mediator between neighborhood conditions and children's health: evidence from a national survey in the United States

This study examines whether the associations between neighborhood conditions and children's health can be indirect and operate through aspects of family functioning. We use data from the 2007 National Survey of Children's Health in the United States with the interviewed parents/guardians as the only source of the data. Our study sample includes 53,023 children aged between 6 and 17 years. Using structural equation modeling, we test both direct and indirect relationships between a family functioning index, a general indicator of children's health status, and three neighborhood factors: neighborhood physical resources, environmental threats, and collective efficacy. Covariates in the analysis include gender, age, income, race, family structure, parental education, and health insurance coverage. All the three neighborhood factors show direct associations with children's general health status, as well as indirect associations mediated by aspects of family functioning. Among the three neighborhood factors, collective efficacy and environmental threats are found to have much stronger associations with children's general health than physical resources. When designing health-promoting neighborhoods for children and families, it may be more efficient for urban planners and health professionals to focus on community programs that reduce environmental stressors and foster neighborhood cohesion than programs that solely improve physical infrastructure. This study also verifies that aspects of family functioning mediate the associations between neighborhood conditions and children's health. It is recommended that both family and neighborhood are critical points for child health intervention.     

Population health: challenges for science and society

The emphasis on risk factor intervention at the individual level has predominated in efforts to reduce mortality and promote health. Interest in social and other nonmedical interventions, particularly socioeconomic status (SES) influences, has increased in recent years. This article focuses on the interaction of social structure and socioeconomic status with other influences in complex pathways to affect health, and their contribution to health disparities. It examines both social class as an explanation of health differences and competing hypotheses concerning prenatal and early nutrition and cognitive capacity. Although education is associated with income, wealth, occupation, and other SES indicators and may not be the most important SES determinant, it influences a variety of pathways to health outcomes and offers strategic leverage for intervention because of social and political consensus on its value beyond health.     

The contextual effects of social capital on health: a cross-national instrumental variable analysis

Past research on the associations between area-level/contextual social capital and health has produced conflicting evidence. However, interpreting this rapidly growing literature is difficult because estimates using conventional regression are prone to major sources of bias including residual confounding and reverse causation. Instrumental variable (IV) analysis can reduce such bias. Using data on up to 167,344 adults in 64 nations in the European and World Values Surveys and applying IV and ordinary least squares (OLS) regression, we estimated the contextual effects of country-level social trust on individual self-rated health. We further explored whether these associations varied by gender and individual levels of trust. Using OLS regression, we found higher average country-level trust to be associated with better self-rated health in both women and men. Instrumental variable analysis yielded qualitatively similar results, although the estimates were more than double in size in both sexes when country population density and corruption were used as instruments. The estimated health effects of raising the percentage of a country's population that trusts others by 10 percentage points were at least as large as the estimated health effects of an individual developing trust in others. These findings were robust to alternative model specifications and instruments. Conventional regression and to a lesser extent IV analysis suggested that these associations are more salient in women and in women reporting social trust. In a large cross-national study, our findings, including those using instrumental variables, support the presence of beneficial effects of higher country-level trust on self-rated health. Previous findings for contextual social capital using traditional regression may have underestimated the true associations. Given the close linkages between self-rated health and all-cause mortality, the public health gains from raising social capital within and across countries may be large.     

Actual or potential neighborhood resources and access to them: testing hypotheses of social capital for the health of female caregivers

This study considers three commonly overlooked aspects of neighborhood social capital: actual or potential network resources, access to such resources, and their potentially negative implications, as they bear on the health of adult female caregivers of children. Drawing upon Bourdieu's social capital theory and urban and community sociology research, two sets of related hypotheses are formulated and tested. The first set examines specific resources that inhere within neighborhood social relations by testing hypotheses concerning four forms of social capital (social support, social leverage, informal social control, and neighborhood organization participation) and their respective associations with daily smoking and perceived health. The second set assesses the importance of one's access to the neighborhood networks that possess such resources by testing hypotheses regarding how residents' neighborhood attachment moderates the association between social capital forms and these health outcomes in positive and negative ways. Analyses of the Los Angeles Family and Neighborhood Survey (L.A.FANS) linked with tract level census data indicate that specific social capital forms were directly associated with positive and negative health outcomes. Neighborhood attachment significantly moderated relationships between several social capital forms and health, indicating that a female caregiver's degree of network integration matters in both health promoting and health damaging ways. In addition to illustrating the utility of a Bourdieusian perspective for formulating explicit, testable hypotheses regarding how social capital may matter for health, these findings suggest that future public health studies of neighborhood social capital need to consider (1) the actual or potential resources that inhere within relationships, and (2) the role of access to such resources for promoting or compromising health.     

Neighborhood residential segregation and mental health: A multilevel analysis on Hispanic Americans in Chicago

Compared with the relationship between neighborhood-level residential segregation and physical health of Hispanic Americans, less is known about how neighborhood residential segregation affects mental health. This study examines if, and how, neighborhood residential segregation is associated with the mental health of Puerto Rican and Mexican Americans in Chicago. Multilevel analyses reveal that neighborhood residential segregation is positively associated with depressive symptoms and anxiety in both groups. Neighborhood segregation, however, has more salient effects on the mental health of Mexican Americans. For Puerto Rican Americans, the effects of neighborhood segregation on mental health become nonsignificant after controlling for neighborhood-level income and individual-level covariates, whereas neighborhood segregation is strongly associated with the mental health of Mexican Americans even after controlling for other covariates. These findings show that living in a Mexican American-dominated community is not beneficial to mental health, in contrast to findings for physical health shown in previous studies.     

Opening the black box of the relationship between neighborhood socioeconomic status and mental health: Neighborhood social-interactive characteristics as contextual mechanisms

Previous studies have linked low neighborhood socioeconomic status (NSES) to mental health problems. However, few studies have investigated the mechanisms underlying this association and most focused on the association with negative indicators of mental health, such as symptoms of depression or anxiety. This paper investigated whether neighborhood social characteristics (social interaction, trust, safety, organization participation, and attachment) mediate the association between NSES and mental health. We combined Danish register data with survey data from the North Denmark Region Health Survey 2017. Mental health was assessed with the Rand 12-item Short-form Survey (SF-12). The sample consisted of 14,969 individuals nested in 1047 neighborhoods created with an automated redistricting algorithm. We fitted multilevel structural equation mediation models and used a Monte Carlo simulation method to estimate confidence intervals for the indirect effects. NSES was positively associated with mental health. Neighborhood trust significantly mediated this relationship, accounting for 34% of the association after controlling for other mediators. These results indicate that higher levels of mental health in more affluent neighborhoods are partially explained by higher levels of trust. Improving neighborhood trust could mitigate sociogeographic inequalities in mental health.     

Income inequality and population health: correlation and causality

A large literature now exists on the cross-national correlation between income inequality and population health, but existing studies suffer from sparse data, poor operationalization of income inequality, and the use of low-power statistical models. This paper sets out to estimate the ecological correlation between income inequality and indicators of population health in a very broad panel of countries, to demonstrate that this relationship is largely non-artifactual, and to test whether this relationship might be causal. Gini coefficients of national income inequality in 1970 and 1995 are correlated with life expectancy, infant mortality rates, and murder rates, controlling for national income per capita. In cross-sectional analyses, inequality is significantly correlated with life expectancy, infant mortality, and (inconsistently) the murder rate. The health correlations are shown to be not primarily due to the "convexity effect" of the non-linear relationship between individual income and individual health, which seems to account for no more than one-third of the relationship between inequality and health, and likely much less. Change in inequality 1970-1995 is significantly related to change in life expectancy and infant mortality, suggesting a causal relationship, but these correlations are not robust with respect to sample or controls. It can be concluded that there is a strong, consistent, statistically significant, non-artifactual correlation between national income inequality and population health, but though there is some evidence that this relationship is causal, the relative stability of income inequality over time in most countries makes causality difficult to test.     

From health research to social research: privacy, methods, approaches

Information-rich environments in Canada, Australia, and the United Kingdom have been built using record linkage techniques with population-based health insurance systems and longitudinal administrative data. This paper discusses the issues in extending population-based administrative data from health to additional topics more generally connected with well being. The scope of work associated with a multi-faceted American survey, the Panel Study in Income Dynamics (PSID), is compared with that of the administrative data in Manitoba, Canada. Both the PSID and the Manitoba database go back over 30 years, include families, and have good information on residential location. The PSID has emphasized research design to maximize the opportunities associated with expensive primary data collection. Information-rich environments such as that in Manitoba depend on registries and record linkage to increase the range of variables available for analysis. Using new databases on education and income assistance to provide information on the whole Manitoba population has involved linking files while preserving privacy, scaling educational achievement, assessing exposure to a given neighborhood, and measuring family circumstances. Questions being studied concern the role of the socioeconomic gradient and infant health in child development, the comparative influence of family and neighborhood in later well being, and the long-term effects of poverty reduction. Issues of organization of research, gaps in the data, and productivity are discussed.     

My neighborhood has a good reputation: Associations between spatial stigma and health

Health researchers increasingly recognize the influence of spatial stigma, or negative reputation of place, as a social determinant of health. Drawing from a New Haven-based cohort study (n = 251), we assessed the relationships between spatial stigma, self-rated health, and psychological distress using generalized estimating equation models. Adjusting for neighborhood-level poverty and racial composition, those who perceived living in spatially stigmatized neighborhoods were significantly more likely to report severe psychological distress compared to those that did not perceive their neighborhoods to be stigmatized (B = 1.09, CI: 0.31, 1.87). Our findings contribute to a growing body of literature that suggests that socially constructed meanings of place may influence health.     

With great inequality comes great responsibility: the role of government spending on population health in the presence of changing income distributions

ObjectivesTo determine the association between provincial government health and social spending and population health outcomes in Canada, separately for men and women, and account for the potential role of income inequality in modifying the association.MethodsWe used data for nine Canadian provinces, 1981 to 2017. Health outcomes and demographic data are from Statistics Canada; provincial spending data are from provincial public accounts. We model the ratio of social-to-health spending (“the ratio”) on potentially avoidable mortality (PAM), life expectancy (LE), potential years of life lost (PYLL), infant mortality, and low birth weight baby incidence. We interact the ratio with the Gini coefficient to allow for income inequality modification.ResultsWhen the Gini coefficient is equal to its average (0.294), the ratio is associated with desirable health outcomes for adult men and women. For example, among women, a 1% increase in the ratio is associated with a 0.04% decrease in PAM, a 0.05% decrease in PYLL, and a 0.002% increase in LE. When the Gini coefficient is 0.02 higher than average, the relationship between the ratio and outcomes is twice as strong as when the Gini is at its average, other than for PAM for women. Infant-related outcomes do not have a statistically significant association with the ratio.ConclusionOverall, outcomes for men and women have similar associations with the ratio. Inequality increases the return to social spending, implying that those who benefit the most from social spending reap higher benefits during periods of higher inequality.     

Social capital: a guide to its measurement

The primary aims of this paper are to review the concept of social capital and related constructs and to provide a brief guide to their operationalization and measurement. We focus on four existing constructs: collective efficacy, psychological sense of community, neighborhood cohesion and community competence. Each of these constructs taps into slightly different, yet overlapping, aspects of social capital. The existence of several instruments to measure each of these constructs calls for further study into their use as measures of social capital. Despite differences in the approach to measurement, there is general agreement that community characteristics, such as social capital, should be distinguished from individual characteristics and measured at the community level.     

Sources of stress in impoverished neighbourhoods: insights into links between neighbourhood environments and health

Objective :This paper explores associations between residents' perceptions of social incivilities and physical disorders in local environments and self-reported health status.
Method : Surveys were conducted with 4,029 residents from 13 Neighbourhood Renewal sites and 1,857 residents of corresponding Local Government Areas in Victoria. An open-ended question asked respondents to nominate the worst things about living in their neighbourhood and this qualitative data was analysed for the range of perceptions of incivilities. Quantitative data analysis considered associations between incivilities in neighbourhood environments and self-reported health status.
Results : Issues conceptualised as social incivilities (drug and alcohol use, dangerous driving, the behaviour of other people, feeling unsafe, noise, racism) accounted for 58% of issues nominated. Quantitative analyses suggested that increased exposure to issues related to aspects of neighbourhood safety were associated with living in a disadvantaged neighbourhood. Perceptions of lower levels of neighbourhood safety were, in turn, associated with poorer health.
Conclusions : Cumulative and compounding aspects of local environments that heighten feelings of insecurity and anxiety may be mechanisms through which places affect health.
Implications : While the characteristics of populations are important determinants of health outcomes, the findings endorse the value of incorporating complementary place-based approaches for addressing mechanisms that contribute to health inequalities in local environments.     

The importance of social context: neighborhood stressors, stress-buffering mechanisms, and alcohol, drug, and mental health disorders

This study examines the relationship among neighborhood stressors, stress-buffering mechanisms, and likelihood of alcohol, drug, and mental health (ADM) disorders in adults from 60 US communities (n=12,716). Research shows that larger support structures may interact with individual support factors to affect mental health, but few studies have explored buffering effects of these neighborhood characteristics. We test a conceptual model that explores effects of neighborhood stressors and stress-buffering mechanisms on ADM disorders. Using Health Care for Communities with census and other data, we found a lower likelihood of disorders in neighborhoods with a greater presence of stress-buffering mechanisms. Higher neighborhood average household occupancy and churches per capita were associated with a lower likelihood of disorders. Cross-level interactions revealed that violence-exposed individuals in high crime neighborhoods are vulnerable to depressive/anxiety disorders. Likewise, individuals with low social support in neighborhoods with high social isolation (i.e., low-average household occupancy) had a higher likelihood of disorders. If replicated by future studies using longitudinal data, our results have implications for policies and programs targeting neighborhoods to reduce ADM disorders.     

某厂三硝基甲苯作业环境与健康分析

[目的]了解某化工厂三硝基甲苯（TNT）的职业危害情况。[方法]采用劳动卫生学调查方法。[结果]车间空气中TNT浓度波动在1mg/m^3上下，93名作业工人肝，脾肿大分别为23．7％和10．8％，均高于对照组，眼晶状体检查，晶体受损率达83．9％，血细胞计数的均值与对照组差异均无明显性，乙肝表面抗原＞1：16者21．5％，高于对照组。诊断轻度中毒13名，重度中毒8名，中毒与接触工龄密切相关，各工种之间差异无显著性。[结论]加强对工人的卫生知识宣传，减少皮肤污染非常必要，对TNT中毒性肝炎敏感特异指标的研究，对保护TNT接触工人的眼睛的研究应该重视。     

Effects of an urban regeneration program on related social determinants of health in Chile: A pre-post intervention study

Urban regeneration programs, such as "Programa Quiero mi Barrio" (PQMB) that is carried out in neighborhoods with greater deprivation across Chile, can improve health and quality of life in socio-economically deprived neighborhoods. The aim of this study was to analyze the effects of this program on the physical, social, and safety environments of neighborhoods intervened between 2011 and 2018, according to gender and socioeconomic position. Four indices and six sub-indices were constructed to measure physical, social, and safety environments of the neighborhoods. We conducted a pre- and post-intervention analysis with 2095 people using linear models adjusted for repeated measurements. After the intervention, participants had an improved perception of physical, social, and safety environments, as well as the use of spaces, particularly among women and people with higher levels of education. Therefore, the PQMB program is a form of public policy that can improve the quality of life and health of people living in underprivileged areas.     

Social capital and health: a meta-analysis

The relationship between social capital and health has received extensive attention in fields such as public health, medicine, epidemiology, gerontology and other health-related disciplines. In contrast, the economics literature on this subject is relatively small. To address this research gap, we investigate the cross-disciplinary empirical literature using meta-analysis. We analyze 12,778 estimates from 470 studies. Our analysis finds that social capital is significantly related to a variety of positive health outcomes. However, the effect sizes are consistently very small. This finding is robust across different types of social capital (e.g., cognitive, structural, bonding, bridging, linking), and for many different measures of health outcomes (e.g., mortality, disease/illnesses, depression). The small effects that we estimate cast doubt on recent initiatives to promote health through social capital such as those by the WHO, the OECD, and US Healthy People 2020.