Associations between neighborhood characteristics and self-rated health: a cross-sectional investigation in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort

Impact of COVID-19 on physical activity: A rapid review

Background

Physical activity is a commonly prescribed medicine for people with conditions such as obesity and diabetes who are also at increased risk of being hospitalized or severely ill from COVID-19. However, many people are reporting challenges in engaging in a healthy dose of physical activity amid the pandemic.

Objective

This rapid review synthesizes the current empirical evidence about the impacts of COVID-19 on people's outdoor physical activity and sedentary behavior while highlighting the role of community environments in promoting or hindering physical activity during the pandemic.

Methods

Literature searches were conducted using keywords related to COVID-19: physical activity, mobility, and lifestyle behaviors. Eligibility criteria were peer-reviewed empirical and quantitative studies published in English, addressing COVID-19 and using physical activity and/or sedentary behavior as the study outcomes.

Results

Out of 61 eligible studies, the majority (78.3%) were conducted in Asian and European countries, with only four (6.7%) being US studies. The results showed that COVID-19 was linked with significant decreases in mobility, walking, and physical activity, and increases in sedentary activity. A few studies also reported contradicting results including increased uses of parks/trails and increased recreational activity among certain groups of population.

Conclusions

Evidence suggests an overall negative impact of COVID-19 on physical activity, with differential effects across different sub-populations. Significant knowledge gaps are also found in the roles of social and physical attributes that can promote physical activity during pandemics with reduced safety risks.

Subjective well-being and quality of life of rural-to-urban migrant and local older adults in Dongguan, China

We conducted a community-based survey to compare the subjective well-being (SWB) and quality of life (QoL) of 470 rural-to-urban migrant and 422 local older adults living in Dongguan, China. Ordinal logistic regression was used to assess the dose-response relationships of SWB, QoL, and individual and environmental factors. Results show that migrant (vs. local) residents had greater SWB and better QoL. Positive self-rated health, lack of chronic diseases, not being depressed, taking regular exercise, living close to recreation facilities, and having good social cohesion were positive determinants for SWB and QoL of both local and migrant respondents. Our results provide useful information for Chinese policy decision making to promote the health of older adults.

Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area

OBJECTIVE

To simultaneously examine multiple individual-level neighbourhood perceptions and psychosocial characteristics and their relationships with cardiovascular health (CVH) among blacks.

DESIGN

Cross-sectional study.

SETTING

Subjects were recruited between 2016 and 2018 via convenience sampling.

PARTICIPANTS

385 Black men and women, age 30-70 living in the Atlanta metropolitan area (Georgia, USA).

PRIMARY OUTCOME MEASURE

Individual's CVH was summarised as a composite score using American Heart Association's Life's Simple 7 (LS7) metrics.

METHODS

We implemented unsupervised learning (k-means) and supervised learning (Bayesian Dirichlet process clustering) to identify clusters based on 11 self-reported neighbourhood perception and psychosocial characteristics. We also performed principal component analysis to summarise neighbourhood perceptions and psychosocial variables and assess their associations with LS7 scores.

RESULTS

K-means and Bayesian clustering resulted in 4 and 5 clusters, respectively. Based on the posterior distributions, higher LS7 scores were associated with better neighbourhood perceptions and psychosocial characteristics, including neighbourhood safety, social cohesion, activities with neighbours, environmental mastery, purpose in life, resilient coping and no depression. Taken together, the first principal components of neighbourhood perceptions and psychosocial characteristics were associated with an increase of 0.07 (95% CI -0.17 to 0.31) and 0.31 (95% CI 0.06 to 0.55) in LS7 score, respectively, after accounting for age, sex, household income and education level.

CONCLUSION

Both neighbourhood perception and psychosocial domains were related to CVH, but individual psychosocial characteristics appeared to contribute to CVH most. Approaches that acknowledge the importance of factors in both domains may prove most beneficial for enhancing resilience and promoting CVH among black communities.

The association of neighborhood walkability with health outcomes in older adults after acute myocardial infarction: The SILVER-AMI study

Physical activity and social support are associated with better outcomes after surviving acute myocardial infarction (AMI), and greater walkability has been associated with activity and support. We used data from the SILVER-AMI study (November 2014–June 2017), a longitudinal cohort of community-living adults ≥ 75 years hospitalized for AMI to assess associations of neighborhood walkability with health outcomes, and to assess whether physical activity and social support mediate this relationship, if it exists. We included data from 1345 participants who were not bedbound, were discharged home, and for whom we successfully linked walkability scores (from Walk Score®) for their home census block. Our primary outcome was hospital-free survival time (HFST) at six months after discharge; secondary outcomes included physical and mental health at six months, assessed using SF-12. Physical activity and social support were measured at baseline. Covariates included cognition, functioning, comorbidities, participation in rehabilitation or physical therapy, and demographics. We employed survival analysis to examine associations between walkability and HFST, before and after adjustment for covariates; we repeated analyses using linear regression with physical and mental health as outcomes. In adjusted models, walkability was not associated with physical health (ß = 0.010; 95% CI: −0.027, 0.047), mental health (ß = −0.08; 95% CI: −0.175, −0.013), or HFST (ß = 0.008; 95% CI: −0.023, 0.009). Social support was associated with mental health in adjusted models. Neighborhood walkability was not predictive of outcomes among older adults with existing coronary disease, suggesting that among older adults, mobility limitations may supercede neighborhood walkability.

Neighborhood Poverty and Physical Health at Midlife: The Role of Life-Course Exposure

Studies of the effect of neighborhood poverty on health are dominated by research designs that measure neighborhood poverty at a single point in time, ignoring the potential influence of exposure to neighborhood poverty over the life course. Applying latent class analysis to restricted residential history data from the National Longitudinal Survey of Youth, 1979 Cohort, we identify four trajectories of life-course exposure to high-poverty neighborhoods between adolescence and midlife and then examine how these groups differ in their physical health conditions (SF-12 score) and self-rated health at around age 40. Linear and logistic regression analyses show that life-course exposure to high-poverty neighborhoods is a stronger predictor of midlife physical health than are point-in-time measures of neighborhood poverty observed during either adolescence or midlife. Our findings suggest that a life-course approach can enhance our understanding of how neighborhood poverty affects physical health.

The relationship between individual-level deprivation and health-related quality of life

OBJECTIVE

To examine the association between individual-level deprivation and health-related quality of life (HRQL) in the general population.

METHODS

Data from a population-based survey in the Canadian province of Alberta were used. Individual-level deprivation was assessed using the Canadian Deprivation Index (CDI) and the Ontario Deprivation Index (ODI). HRQL was assessed using the EQ-5D-5 L. Differences in problems in the EQ-5D-5 L dimensions, index and visual analogue scale (VAS) scores across levels of deprivation were examined. Multivariate logistic and linear regression models adjusted for socio-demographic and other characteristics were used to examine the independent association between deprivation and HRQL.

RESULTS

Of the 6314 respondents, 39% were aged between 18 and 44 years and 38% between 45 and 64 years; 60% were female. Mean EQ-5D-5 L index and VAS scores were 0.85 (standard deviation [SD] 0.14) and 79.6 (SD 17.7), respectively. Almost one-third (30.6%) of respondents reported no problems on all EQ-5D-5 L dimensions. Few participants reported some problems with mobility (23.8%), self-care (6.2%) and usual activities (25.2%), while 59.3 and 35.5% reported some levels of pain/discomfort and anxiety/depression, respectively. Differences between the most and least deprived in reporting problems in EQ-5D-5 L dimensions, index and VAS scores were statistically significant and clinically important. In adjusted regression models for both deprivation indices, the least well-off, compared to the most well-off, had higher likelihood of reporting problems in all EQ-5D-5 L dimensions. Compared to the most well-off, the least well-off had an EQ-5D-5 L index score decrement of 0.18 (p < 0.01) and 0.17 (p < 0.01) for the CDI and ODI, respectively. Similarly, an inverse association was found between the VAS score and the CDI (β = - 17.3, p < 0.01) as well as the ODI (β = - 13.3, p < 0.01).

CONCLUSION

Individual-level deprivation is associated with worse HRQL. Poverty reduction strategies should consider the effects of not only neighbourhood-level deprivation, but also that of individual-level deprivation to improve overall health.

Extensively drug-resistant tuberculosis 'hotspots' and sociodemographic associations in Durban, South Africa

BACKGROUND

In KwaZulu-Natal, South Africa, the incidence of extensively drug-resistant tuberculosis (XDR-TB) is driven by the transmission of resistant strains. As data suggest that cases may be spatially clustered, we sought to identify 'hotspots' and describe these communities.

METHODS

We enrolled XDR-TB patients diagnosed from 2011 to 2014 in eThekwini. Global positioning system (GPS) coordinates for participant homes were collected and hotspots were identified based on population-adjusted XDR-TB incidence. The sociodemographic features of hotspots were characterised using census data. For a subset of participants, we mapped non-home XDR-TB congregate locations and compared these with results including only homes.

RESULTS

Among 132 participants, 75 (57%) were female and 87 (66%) lived in urban or suburban locations. Fifteen of 197 census tracts were identified as XDR-TB hotspots with ≥95% confidence. Four spatial mapping methods identified one large hotspot in northeastern eThekwini. Hotspot communities had higher proportions of low educational attainment (12% vs. 9%) and unemployment (29.3% vs. 20.4%), and lower proportion of homes with flush toilets (36.4% vs. 68.9%). The case density shifted towards downtown Durban when congregate locations (e.g., workplaces) for 43 (33%) participants were mapped.

CONCLUSIONS

In eThekwini, XDR-TB case homes were clustered into hotspots with more poverty indicators than non-hotspots. Prevention efforts targeting hotspot communities and congregate settings may be effective in reducing community transmission. .

Comprehensive examination of the multilevel adverse risk and protective factors for cardiovascular disease among hypertensive African Americans

This paper describes the multilevel factors that contribute to hypertension disparities in 2052 hypertensive African Americans (mean age 52.9 ± 9.9 years; 66.3% female) who participated in a clinical trial. At the family level, participants reported average levels of life chaos and high social support. However, at the individual level, participants exhibited several adverse clinical and behavioral factors including poor blood pressure control (45% of population), obesity (61%), medication non-adherence (48%), smoking (32%), physical inactivity (45%), and poor diet (71%). While participants rated their provider as trustworthy, they reported high levels of discrimination in the health care system. Finally, community-level data indicate that participants reside in areas characterized by poor socio-economic and neighborhood conditions (eg, segregation). In the context of our trial, hypertensive African Americans exhibited several adverse risks and protective factors at multiple levels of influence. Future research should evaluate the impact of these factors on cardiovascular outcomes using a longitudinal design.

A Conceptual Matrix of the Temporal and Spatial Dimensions of Socioeconomic Status and Their Relationship with Health

Objectives

In this study, we (a) draw on fundamental cause theory, the life course perspective, and neighborhood effects to develop conceptual matrix of socioeconomic status (SES) by temporal and spatial dimensions in order to highlight the multidimensional ways in which SES relates to general health, and then (b) assess the multidimensional ways in which income (as a measure of SES) is related to disability in adulthood.

Methods

Data from the Panel Study of Income Dynamics were linked with Census data to assess (a) which temporal and spatial dimensions of income were associated with disability in adulthood, and (b) whether the various components of income interact with each other when predicting disability.

Results

Negative binomial regression results indicated both 1970 and 2013 household income were associated with lower levels of disabilities in adulthood, as was 2013 neighborhood-level income, but 1970 neighborhood-level income was not associated with disability in adulthood. Further, 4 of the 6 possible interactions between the multiple dimensions of income were associated with significant reductions in adult disability.

Discussion

These findings provide several important empirical insights, but also help inform a framework for thinking about the multidimensional ways in which SES relates to health.

Comparing the Normalized Difference Vegetation Index with the Google Street View Measure of Vegetation to Assess Associations between Greenness, Walkability, Recreational Physical Activity, and Health in Ottawa, Canada

The manner in which features of the built environment, such as walkability and greenness, impact participation in recreational activities and health are complex. We analyzed survey data provided by 282 Ottawa adults in 2016. The survey collected information on participation in recreational physical activities by season, and whether these activities were performed within participants' neighbourhoods. The SF-12 instrument was used to characterize their overall mental and physical health. Measures of active living environment, and the satellite derived Normalized Difference Vegetation Index (NDVI) and Google Street View (GSV) greenness indices were assigned to participants' residential addresses. Logistic regression and least squares regression were used to characterize associations between these measures and recreational physical activity, and self-reported health. The NDVI was not associated with participation in recreational activities in either the winter or summer, or physical or mental health. In contrast, the GSV was positively associated with participation in recreational activities during the summer. Specifically, those in the highest quartile spent, on average, 5.4 more hours weekly on recreational physical activities relative to those in the lowest quartile (p = 0.01). Active living environments were associated with increased utilitarian walking, and reduced reliance on use of motor vehicles. Our findings provide support for the hypothesis that neighbourhood greenness may play an important role in promoting participation in recreational physical activity during the summer.

Differentially conserved transcriptomic response to adversity related to self-rated health in the multi-ethnic study of atherosclerosis

Self-rated health (SRH) is considered a strong indicator of well-being and clinical health status and has been linked to inflammatory markers. The objective of this work was to examine how self-rated physical health (SRPH) and mental health (SRMH) influence the immune system through the regulation of a stress-related gene expression profile known as the 'conserved transcriptional response to adversity' (CTRA), which involves the up-regulation of pro-inflammatory genes and down-regulation of genes involved in type I interferon (IFN) response and antibody synthesis. CTRA expression data were derived from genome-wide transcriptional data on purified monocytes in 1264 adult participants from the multi-ethnic study of atherosclerosis. SRPH and SRMH were assessed through the SF-12 questionnaire. Multiple linear regression models were used to determine the association between the composite score of the CTRA subsets and SRPH and SRMH. Higher scores of SRPH and SRMH were associated with an increased expression of the overall CTRA profile. The individual gene subsets analysis did not reveal an increased expression of pro-inflammatory genes in persons with lower scores of SRH. However, we observed that higher scores of SRPH positively modulate the immune response through the up-regulation of both type I interferon response and antibody synthesis-related genes, while better scores of SRMH were associated with a down-regulation of genes involved in antibody synthesis. The significant association between SRH and a gene expression profile related to type I IFN response and antibody synthesis suggests that SRH may be linked to the immunocompetence status. Impact statement In this work, we evaluated for the first time how self-rated mental (SRMH) and physical health (SRPH) influence the immune response at the molecular level in a large multi-ethnic cohort. We observed that both SRMH and SRPH are related to immunocompetence status. These findings indicated that the link between how we perceive our health and poorer health outcomes could be explained by alterations in the immune response by shifting the expression of genes related to the type I IFN response and antibody synthesis.

Association between perceived neighborhood environment and health of middle-aged women living in rapidly changing urban Mongolia

Background

This study was conducted in rapidly urbanizing Ulaanbaatar, Mongolia, to examine patterns of perceived neighborhood quality by residents and the associations between these patterns and self-reported general and mental health in middle-aged women.

Methods

A questionnaire survey was administered to 960 women aged 40–60 years. Demographic and socio-economic characteristics, subjects’ perception of their neighborhood environment, general health status, and mental health as measured using a 12-item General Health Questionnaire (GHQ12) were reported.

Results

A total of 830 women completed the questionnaire. Subjects reporting their general health as very good or good accounted for 80.3% and those with a GHQ12 ≥16, which reflects psychological distress or severe distress, accounted for 16.1%. A principal component analysis of the perceptions of neighborhood environment by the residents identified six qualities: physical environment, designed environment, neighborhood community, public safety, natural environment, and citizen services. The perception of better-quality citizen services in the neighborhood was associated with better self-reported general health (odds ratio [OR] = 1.330, 95% confidence interval [CI] 1.093–1.618), and the perception of better-quality public safety was associated with less psychological distress (OR = 0.718, 95% CI 0.589–0.876); these associations were independent of education, income, occupation, type of residential area, and number of years living in the current khoroo.

Conclusions

The perception of the quality of a neighborhood environment can affect the self-reported general and mental health of residents, even after accounting for the type of residential area and individual socio-economic status. Developing high-quality neighborhoods is an essential component of good planning to promote population health in urban environments.

A prospective investigation of neighborhood socioeconomic deprivation and self-rated health in a large US cohort

BACKGROUND

Neighborhood characteristics play a critical role in health. Self-rated health (SRH) is an important indicator of quality of life and a strong predictor of premature death. Prospective study on neighborhood deprivation and SRH is limited.

METHODS

We examined neighborhood socioeconomic deprivation with reporting fair/poor SRH at follow-up (2004-2006) in 249,265 men and women (age 50-71) who reported SRH as good or better at baseline (1995-1996) in the NIH-AARP Health and Diet Study. Baseline addresses were geocoded and linked to 2000 Census. Census tract level variables were used to generate a socioeconomic deprivation index by principle component analysis.

RESULTS

Residents of more deprived neighborhoods had a higher risk of developing poor/fair SRH at follow-up, even after adjusting for individual-level factors (Odds ratio (95% confidence interval) _{Q5 vs Q1}: 1.26 (1.20, 1.32), p-trend: <0.0001). The results were largely consistent across subgroups with different demographics, health behaviors, and disease conditions and after excluding participants who moved away from their baseline address.

CONCLUSION

Neighborhood disadvantage predicts SRH over 10 years.

Cumulative Effects of Growing Up in Separate and Unequal Neighborhoods on Racial Disparities in Self-rated Health in Early Adulthood

Evidence suggests that living in a socioeconomically deprived neighborhood is associated with worse health. Yet most research relies on cross-sectional data, which implicitly ignore variation in longer-term exposure that may be more consequential for health. Using data from the 1970 to 2011 waves of the Panel Study of Income Dynamics merged with census data on respondents' neighborhoods (N = 1,757), this study estimates a marginal structural model with inverse probability of treatment and censoring weights to examine: (1) whether cumulative exposure to neighborhood disadvantage from birth through age 17 affects self-rated health in early adulthood, and (2) the extent to which variation in such exposure helps to explain racial disparities therein. Findings reveal that prolonged exposure to neighborhood disadvantage throughout childhood and adolescence is strikingly more common among nonwhite versus white respondents and is associated with significantly greater odds of experiencing an incidence of fair or poor health in early adulthood.

The place where you live and self-rated health in a large urban area

The aim of this study was to determine and quantify the association between one's perception of the place of residence and self-rated health. 4,048 adult residents of Belo Horizonte, Minas Gerais State, Brazil, participated in the study in 2008 and 2009. Ordinal logistic regression was used to estimate the magnitude of the association. Health was rated as good or very good, fair, or poor or very poor by 65.7%, 27.8%, and 6.5% of the subjects, respectively. Better self-rated health was associated with the following neighborhood characteristics: positive evaluation of aesthetics and mobility, better quality of public services, less physical and social disorder. The perception of violence had a borderline statistically significant association with worse self-rated health. These associations persisted after controlling for potential confounding demographic, socioeconomic, health, and health behavior variables. The results indicate that public and health policies should incorporate interventions that address the physical and social environment in addition to policies focused on individuals.

A discrete-time analysis of the effects of more prolonged exposure to neighborhood poverty on the risk of smoking initiation by age 25

Evidence suggests that individuals who initiate smoking at younger ages are at increased risk for future tobacco dependence and continued use as well as for numerous smoking-attributable health problems. Identifying individual, household, and to a far lesser extent, contextual factors that predict early cigarette use has garnered considerable attention over the last several decades. However, the majority of scholarship in this area has been cross-sectional or conducted over relatively short windows of observation. Few studies have investigated the effects of more prolonged exposure to smoking-related risk factors, particularly neighborhood characteristics, from childhood through early adulthood. Using the 1970-2011 waves of the Panel Study of Income Dynamics merged with census data on respondents' neighborhoods, this study estimates a series of race-specific discrete-time marginal structural logit models for the risk of smoking initiation as a function of neighborhood poverty, as well as individual and household characteristics, from ages four through 25. Neighborhood selection bias is addressed using inverse-probability-of-treatment weights. Results indicate that more prolonged exposure to high (>20%) as opposed to low (<10%) poverty neighborhoods is associated with an increased risk of smoking onset by age 25, although consistent with prior literature, this effect is only evident among white and not nonwhite youth and young adults.

Relationships between community social capital and injury in Canadian adolescents: a multilevel analysis

Background

Characteristics of social environments are potential risk factors for adolescent injury. Impacts of social capital on the occurrence of such injuries have rarely been explored.

Methods

General health questionnaires were completed by 8910 youth aged 14 years and older as part of the 2010 Canadian Health Behaviour in School-Aged Children study. These were supplemented with community-level data from the 2006 Canada Census of Population. Multilevel logistic regression models with random intercepts were fit to examine associations of interest. The reliability and validity of variables used in this analysis had been established in past studies, or in new analyses that employed factor analysis.

Results

Between school differences explained 2% of the variance in the occurrence of injuries. After adjustment for all confounders, community social capital did not have any impact on the occurrence of injuries in boys: OR: 1.01, 95% CI 0.80 to 1.29. However, living in areas with low social capital was associated with lower occurrence of injuries in girls (OR 0.78, 95% CI 0.63 to 0.96). Other factors that were significantly related to injuries in both genders were younger age, engagement in more risky behaviours, and negative behavioural influences from peers.

Conclusions

After simultaneously taking into account the influence of community-level and individual-level factors, community levels of social capital remained a relatively strong predictor of injury among girls but not boys. Such gender effects provide important clues into the social aetiology of youth injury.

Neighborhood racial composition and trajectories of child self-rated health: an application of longitudinal propensity scores

Children function within multiple socio-environmental contexts including family, school, and neighborhood. The role each of these contexts play in determining well-being is dynamic and changes throughout early-middle childhood. Recent literature on neighborhood context and health suggests that the life-course processes involved in building trajectories of health are not adequately captured in cross-sectional analysis, which has been the empirical focus of much of the research in this area. In this study we use a nationally representative longitudinal sample of approximately 21,400 United States school children derived from the Early Childhood Longitudinal Study--Kindergarten Cohort (ECLS-K) survey to examine the impact of longitudinal measures of neighborhood racial composition on child self-rated health between kindergarten and 8th grade. We employ two-level multilevel longitudinal logistic regression models with time-varying propensity scores to examine variation in the initial status and trajectories of child self-rated health between kindergarten and 8th grade. Since the ECLS-K tracked child mobility over time, we are able to model the impact of changes in neighborhood racial composition. We find significant differences in initial poor self-rated health by child race, household socioeconomic status and parental marital status but no evidence of a change in trajectory of health over time. Using time-varying propensity scores, we find no effect of neighborhood racial composition on initial health status or health status trajectories.