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

Comparison of clinic-based assistance versus a centralized call center on patient-reported social needs: findings from a randomized pilot social health integration program

BACKGROUND

As social need screening and intervention activities increase, the long-term objective of our work is to inform how to implement social health into healthcare settings. The purpose of this study is to assess changes in social needs over time between two social health support programs as part of a social health integration effort in two primary care clinics within an integrated health system in Washington state.

METHODS

We used stratified randomization to assign 535 patients who self-reported social needs on a screener between October 2022-January 2023 to one of two social health support programs: local, clinic-based Community Resource Specialists (CRS) or a centralized Connections Call Center (CCC). Participants were assessed at 2- and 5-months post-randomization. We compared the count of social needs across programs at each timepoint using joint tests, and estimated differences between programs using generalized linear mixed effects models at each timepoint.

RESULTS

We randomized 535 participants, with 270 assigned to CCC and 272 to CRS. Of those randomized, 61% completed at least one follow-up survey (N = 329). This analytic sample consisted of 153 CCC participants and 176 participants under CRS. CRS participants reported 0.08 (95% CI: -0.710, 0.864) more needs at 2 months and 0.42 (CI: -0.288, 1.126) more needs at 5 months compared to CCC participants (p > 0.05). An exploratory as-treated analysis within the CRS group suggested that referral receipt was associated with fewer needs over time.

CONCLUSIONS

There were no significant differences between CRS and CCC participants' social needs over time. However, receiving referrals to social services may lead to reduced social needs.

Linking sequences of exposure to residential (dis)advantage, individual socioeconomic status, and health

Life course theories suggest that the relationship between residential (dis)advantage and health is best understood by examining the ordering and duration of cumulative exposures across the life course. This study employs sequence and cluster analysis on two decades of residential histories linked to the Survey of the Health of Wisconsin to define typologies of exposure to residential (dis)advantage and use these typologies to predict self-rated fair/poor health. Exposure to residential (dis)advantage is mostly stable across the adult life course and greater disadvantage predicts fair/poor health. Longitudinal exposures to residential (dis)advantage shape health independently of and in tandem with individual-level resources.

Do Municipal Contexts Matter for Adolescent Mental Health? A Within-Municipality Analysis of Nationwide Norwegian Survey Data Across Six Years

Despite growing concerns about substantial socio-economic differences between districts in many developed nations, limited attention has been paid to how adolescent mental health may be shaped by district characteristics. A few studies have shown that adolescent mental health is related to contextual factors such as district socio-economic status, neighborhood disorder, and quality of infrastructure. However, prior estimates may be an artifact of unmeasured differences between districts. To address these concerns, we used data from the nationwide Norwegian Ungdata surveys (N = 278,764), conducted across the years 2014 to 2019. We applied three-level hierarchical linear models to examine within-municipality associations between municipal factors and adolescent mental health in the domains of internalizing problems (i.e., depressive symptoms), externalizing problems (i.e., behavioral problems), and well-being (i.e., self-esteem), thereby accounting for all time-invariant municipality-level confounders. Our results showed that municipal-level safety, infrastructure, and youth culture are associated with adolescent mental health problems. Further, cross-level interaction models indicated gender-specific associations, with stronger associations of municipality infrastructure and community belongingness with increased self-esteem and reduced delinquent behaviors among girls than boys. Our findings highlight that municipality-level interventions may be a feasible strategy for adolescent mental health, even in a society characterized by low inequality and high redistribution.

How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease?

BACKGROUND

Cardiovascular diseases remain the leading cause of death and disabilities worldwide, with coronary heart diseases being the most frequently diagnosed. Their multifactorial etiology involves individual, behavioral and territorial determinants, and thus requires the implementation of multidimensional approaches to assess links between territorial characteristics and the incidence of coronary heart diseases.

CONTEXT AND OBJECTIVES

This study was carried out in a densely populated area located in the north of France with multiple sources of pollutants. The aim of this research was therefore to establish complex territorial profiles that have been characterized by the standardized incidence, thereby identifying the influences of determinants that can be related to a beneficial or a deleterious effect on cardiovascular health.

METHODS

Forty-four variables related to economic, social, health, environment and services dimensions with an established or suspected impact on cardiovascular health were used to describe the multidimensional characteristics involved in cardiovascular health.

RESULTS

Three complex territorial profiles have been highlighted and characterized by the standardized incidence rate (SIR) of coronary heart diseases after adjustment for age and gender. Profile 1 was characterized by an SIR of 0.895 (sd: 0.143) and a higher number of determinants that revealed favorable territorial conditions. Profiles 2 and 3 were characterized by SIRs of respectively 1.225 (sd: 0.242) and 1.119 (sd: 0.273). Territorial characteristics among these profiles of over-incidence were nevertheless dissimilar. Profile 2 revealed higher deprivation, lower vegetation and lower atmospheric pollution, while profile 3 displayed a rather privileged population with contrasted territorial conditions.

CONCLUSION

This methodology permitted the characterization of the multidimensional determinants involved in cardiovascular health, whether they have a negative or a positive impact, and could provide stakeholders with a diagnostic tool to implement contextualized public health policies to prevent coronary heart diseases.

Neighborhood socioeconomic status and mortality in the nurses' health study (NHS) and the nurses' health study II (NHSII)

Few studies have prospectively examined long-term associations between neighborhood socioeconomic status (nSES) and mortality risk, independent of demographic and lifestyle risk factors.

Methods

We assessed associations between nSES and all-cause, nonaccidental mortality among women in the Nurses' Health Study (NHS) 1986-2014 (N = 101,701) and Nurses' Health Study II (NHSII) 1989-2015 (N = 101,230). Mortality was ascertained from the National Death Index (NHS: 19,228 deaths; NHSII: 1556 deaths). Time-varying nSES was determined for the Census tract of each residential address. We used principal component analysis (PCA) to identify nSES variable groups. Multivariable Cox proportional hazards models were conditioned on age and calendar period and included time-varying demographic, lifestyle, and individual SES factors.

Results

For NHS, hazard ratios (HRs) comparing the fifth to first nSES quintiles ranged from 0.89 (95% confidence interval [CI] = 0.84, 0.94) for percent of households receiving interest/dividends, to 1.11 (95% CI = 1.06, 1.17) for percent of households receiving public assistance income. In NHSII, HRs ranged from 0.72 (95% CI: 0.58, 0.88) for the percent of households receiving interest/dividends, to 1.27 (95% CI: 1.07, 1.49) for the proportion of households headed by a single female. PCA revealed three constructs: education/income, poverty/wealth, and racial composition. The racial composition construct was associated with mortality (HRNHS: 1.03; 95% CI = 1.01, 1.04).

Conclusion

In two cohorts with extensive follow-up, individual nSES variables and PCA component scores were associated with mortality. nSES is an important population-level predictor of mortality, even among a cohort of women with little individual-level variability in SES.

Social risks and social needs in a health insurance exchange sample: a longitudinal evaluation of utilization

Background

Health systems are increasingly attempting to intervene on social adversity as a strategy to improve health care outcomes. To inform health system efforts to screen for social adversity, we sought to explore the stability of social risk and interest in assistance over time and to evaluate whether the social risk was associated with subsequent healthcare utilization.

Methods

We surveyed Kaiser Permanente members receiving subsidies from the healthcare exchange in Southern California to assess their social risk and desire for assistance using the Accountable Health Communities instrument. A subset of initial respondents was randomized to be re-surveyed at either three or six months later.

Results

A total of 228 participants completed the survey at both time points. Social risks were moderate to strongly stable across three and six months (Kappa range = .59-.89); however, social adversity profiles that included participants’ desire for assistance were more labile (3-month Kappa = .52; 95% CI = .41-.64 & 6-month Kappa = .48; 95% CI = .36-.6). Only housing-related social risks were associated with an increase in acute care (emergency, urgent care) six months after initial screening; no other associations between social risk and utilization were observed.

Conclusions

This study suggests that screening for social risk may be appropriate at intervals of six months, or perhaps longer, but that assessing desire for assistance may need to occur more frequently. Housing risks were associated with increases in acute care. Health systems may need to engage in screening and referral to resources to improve overall care and ultimately patient total health.

Associations Between Different Self-reported Social Risks and Neighborhood-level Resources in Medicaid Patients

BACKGROUND

Adverse social conditions are a key contributor to health disparities. Improved understanding of how social risk factors interact with each other and with neighborhood characteristics may inform efforts to reduce health disparities.

DATA

A questionnaire of 29,281 patients was collected through the enrollment of Medicaid beneficiaries in a large Northern California integrated health care delivery system between May 2016 and February 2020.

EXPOSURES

Living in the least resourced quartile of neighborhoods as measured by a census-tract level Neighborhood Deprivation Index score.

MAIN OUTCOMES

Five self-reported social risk factors: financial need, food insecurity, housing barriers, transportation barriers, and functional limitations.

RESULTS

Nearly half (42.0%) of patients reported at least 1 social risk factor; 22.4% reported 2 or more. Mean correlation coefficient between social risk factors was ρ=0.30. Multivariable logistic models controlling for age, race/ethnicity, sex, count of chronic conditions, and insurance source estimated that living in the least resourced neighborhoods was associated with greater odds of food insecurity (adjusted odds ratio=1.07, 95% confidence interval: 1.00-1.13) and transportation barriers (adjusted odds ratio=1.20, 95% confidence interval: 1.11-1.30), but not financial stress, housing barriers, or functional limitations.

CONCLUSIONS AND RELEVANCE

We found that among 5 commonly associated social risk factors, Medicaid patients in a large Northern California health system typically reported only a single factor and that these factors did not correlate strongly with each other. We found only modestly greater social risk reported by patients in the least resourced neighborhoods. These results suggest that individual-level interventions should be targeted to specific needs whereas community-level interventions may be similarly important across diverse neighborhoods.

Risk, Protective, and Associated Factors of Anxiety and Depressive Symptoms and Campus Health Services Utilization Among Black Men on a College Campus

OBJECTIVE

The aim of this study is to analyze relationships among social and environmental determinants serving as risk, protective, and important covariate factors for mental health risk and help-seeking among Black men on a college campus.

METHODS

A secondary data analysis was conducted utilizing an ongoing, campus-wide survey at a large, urban, public university. Measures included depressive and anxiety symptoms; campus service utilization; risk factors (e.g., financial status); protective factors (social support/religiosity); and additional covariates (substance use/GPA). Multiple linear regressions were conducted to examine relationships between these factors, symptoms and help-seeking.

RESULTS

Data is included for 681 students. Findings indicated that stressful life events were associated with higher levels of anxiety symptoms (B = 0.39, p < 0.001) and depressive symptoms (B = 0.33, p = 0.013). Cannabis use (B = 1.14, p = .020) was also associated with higher levels of depressive symptoms. We found that financial status (B = 0.21, p = 0.041) was positively associated with higher levels of depressive symptoms and endorsement of religiosity was associated with lower levels anxiety (B = - 0.23, p = 0.019) and depressive symptoms (B = - 0.32, p = 0.035). Religiosity predicted lower utilization of campus health services.

CONCLUSIONS

The key findings indicated that Black men's mental health is negatively influenced by stressful live events and cannabis use. As religiosity was associated with lower levels of symptoms and utilization, it may be beneficial to assess this in future work. Further research is needed to address and improve mental health and help-seeking among these men.

Urban Health and Social Marginality: Perceived Health Status and Interaction with Healthcare Professionals of a Hard-to-Reach Community Living in a Suburban Area of Rome (Italy)

The study reports an urban health investigation conducted in Bastogi, an outskirt of Rome (Italy) characterised by social marginalization and deprivation. Our aim was to analyse the health perception, health-related behaviours, and interaction with healthcare professionals of the inhabitants of Bastogi compared to the population living in the area of the same local health unit (ASL). The Progresses of Health Authorities for Health in Italy questionnaire (PASSI) was administered to a sample of 210 inhabitants of Bastogi. Data were analysed and compared to those of the ASL collected in 2017–2018. The socio-economic indicators showed an overall worse condition for the inhabitants of Bastogi, with a significantly higher proportion of foreign and unemployed residents and a lower educational level compared to the ASL. Significant differences in the prevalence of non-communicable diseases, mental health complaints, and participation in prevention strategies, including cancer screening, were found. The questionnaire showed a lower help-seeking behaviour and a lack of reliance on health professionals in Bastogi inhabitants. Our findings highlight how social determinants produce health inequities and barriers to accessing healthcare. The difficulties of conducting quantitative research in complex and hard-to-reach contexts, characterized by high social vulnerability, are outlined.

Association of Financial Worry and Material Financial Risk with Short-Term Ambulatory Healthcare Utilization in a Sample of Subsidized Exchange Patients

BACKGROUND

Financial burden can affect healthcare utilization. Few studies have assessed the short-term associations between material (debt, trouble paying rent) and psychological (worry or distress about affording future healthcare) financial risks, and subsequent outpatient and emergency healthcare use. Worry was defined as concerns about affording future healthcare.

OBJECTIVE

Examine whether worry about affording healthcare is associated with healthcare utilization when controlling for material risk and general anxiety DESIGN: Longitudinal observational study PARTICIPANTS: Kaiser Permanente members with exchange-based federally subsidized health insurance (n = 450, 45% response rate) MAIN MEASURES: Survey measures of financial risks (material difficulty paying for medical care and worry about affording healthcare) and general anxiety. Healthcare use (primary care, urgent care, emergency department, and outpatient specialty visits) in the 6 months following survey completion.

KEY RESULTS

Emergency department and primary care visits were not associated with material risk, worry about affording care, or general anxiety in individual and pooled analyses (all 95% confidence intervals (CI) for relative risk (RR) included 1). Although no individual predictor was associated with urgent care use (all 95% CIs for RR included 1), worry about affording prescriptions (relative risk (RR) = 2.01; 95% CI 1.14, 3.55) and general anxiety (RR = 0.38; 95% CI 0.15, 0.95) were significant when included in the same model, suggesting the two confounded each other. Worry about affording healthcare services was associated with fewer specialty care visits (RR = 0.40; 95% CI 0.25, 0.64) even when controlling for material risk and general anxiety, although general anxiety was also associated with more specialty care visits (RR = 1.98; 95% CI, 1.23, 3.18).

CONCLUSIONS

Screening for both general anxiety and financial worry may assist with specialty care utilization. Identifying these concerns may provide more opportunities to assist patients. Future research should examine interventions to reduce worry about cost of care.

[Association between community socioeconomic status and adults' self-rated health in China]

OBJECTIVE

To examine whether community socioeconomic status is associated with self-rated health independent of individual socioeconomic status for urban and rural residents, and to provide policy implications for improving the health status of the socioeconomically underdeveloped communities in China.

METHODS

Based on the baseline data of China Family Panel Studies (CFPS) in 2010, principal component analysis was used to construct community socioeconomic index (SEI) based on average years of schooling, average income and average wealth at the community level. Community SEI was defined as the standardized first principal component score. In combination with the adult data from CFPS 2012 follow-up data, the multilevel Logistic regression model was used to analyze whether the community socioeconomic status had an independent contextual effect on the self-rated health of urban residents and rural residents after controlling individual-level socioeconomic status.

RESULTS

In the final analysis, 31 321 adult residents in 577 communities were included, of whom 8 423 were urban residents and 22 898 were rural residents. Community SEI ranged from -2.41 to 3.16, with a mean of 0 and a stan-dard deviation of 1. As the community SEI increased, the incidence of deprivations in different dimensions decreased, indicating the community socioeconomic status increased. The multilevel Logistic model controlling for both individual sociodemographic factors and community socioeconomic status showed that as the community SEI increased, the probability of poor self-rated health decreased, which indicated community SEI had a contextual effect on poor self-rated health. The contextual effect of community SEI on poor self-rated health was statistically significant for the rural residents (OR=0.84, 95%CI: 0.76-0.94) but not statistically significant for the urban adults (OR=0.94, 95%CI: 0.83-1.06).

CONCLUSION

After controlling for individual socioeconomic status, community socioeconomic status was associa-ted with poor self-rated health for rural residents independent of individual socioeconomic status. Therefore, in order to improve the health status of the rural population, it needs not only individual-based health interventions, but also community-based health interventions.

Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement

Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. With the growing number of studies reporting findings from this field and the critical need for public health and policy decisions to be based on the strongest science possible, transparency and clarity in reporting in spatial lifecourse epidemiologic studies is essential. A task force supported by the International Initiative on Spatial Lifecourse Epidemiology (ISLE) identified a need for guidance in this area and developed a Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) Statement. The aim is to provide a checklist of recommendations to improve and make more consistent reporting of spatial lifecourse epidemiologic studies. The STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement for cohort studies was identified as an appropriate starting point to provide initial items to consider for inclusion. Reporting standards for spatial data and methods were then integrated to form a single comprehensive checklist of reporting recommendations. The strength of our approach has been our international and multidisciplinary team of content experts and contributors who represent a wide range of relevant scientific conventions, and our adherence to international norms for the development of reporting guidelines. As spatial, location-based, and artificial intelligence technologies used in spatial lifecourse epidemiology continue to evolve at a rapid pace, it will be necessary to revisit and adapt the ISLE-ReSt at least every 2-3 years from its release.

The relationship between neighborhood socioeconomic deprivation and telomere length: The 1999-2002 National Health and Nutrition Examination Survey

Socioeconomically disadvantaged neighborhoods have been associated with poor health outcomes. Little is known about the biological mechanism by which deprived neighborhood conditions exert negative influences on health. Data from the 1999–2002 National Health and Nutrition Examination Surveys (NHANES) were used to assess the relationship between neighborhood deprivation index (NDI) and log-transformed leukocyte telomere length (LTL) via multilevel modeling to control for census tract level clustering. Models were constructed using tertiles of NDI (ref = low NDI). NDI was calculated using census tract level socioeconomic indicators from the 2000 U.S. Census. The sample (n = 5,106 adults) was 49.8% female and consisted of 82.9% non-Hispanic whites, 9.4% non-Hispanic blacks, and 7.6% Mexican Americans. Mean age was 45.8 years. Residents of neighborhoods with high NDI were younger, non-white, had lower educational attainment, and had a lower poverty to income ratio (all p < 0.0001). Neighborhood deprivation was inversely associated with LTL among individuals living in neighborhoods with medium NDI (β = −0.043, SE = 0.012, p = 0.0005) and high NDI (β = −0.039, SE = 0.013, p = 0.003). Among men, both medium (β = −0.042, SE = 0.015, p = 0.006) and high (β = −0.047, SE = 0.015, p = 0.001) NDI were associated with shorter LTL. Among women, only medium NDI (β = −0.020, SE = 0.016, p = 0.009) was associated with shorter LTL. After controlling for individual characteristics, including individual-level socioeconomic status, increasing neighborhood socioeconomic deprivation is associated with shorter LTL among a nationally representative sample of US adults. This suggests that telomere shortening may be a mechanism through which neighborhood deprivation results in poor health outcomes.

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Neighborhood deprivation is inversely related to telomere length.

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This persists after adjusting for behavior and individual socioeconomic status.

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Telomere shortening in high deprivation represented 7.5 years of accelerated aging.

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Telomere shortening may be a mechanism linking neighborhoods and health.

Association of Financial Burden With Self-Rated and Mental Health in Older Adults With Cancer

Objective: Financial problems in cancer survivors are associated with distress and reduced quality of life. Most studies have been cross-sectional, and a longitudinal study is needed to guide clinical interventions. Method: We used data from two surveys of the National Health and Aging Trends Study (NHATS). Participants (n = 307) reported whether they experienced six indicators of financial burden. The Patient Health Questionnaire 4 assessed depressive symptoms and general anxiety. Cross-lagged panel analyses assessed whether financial burden predicted distress and health or vice versa. Results: In the total sample, financial burden at the first survey predicted depressive symptoms (p < .01), general anxiety (p < .01), and self-rated health (p < .01) at the second survey. Depressive symptoms, general anxiety, and self-rated health at the first survey did not predict later financial burden (ps > .05). Discussion: Results suggest financial problems predict later distress and poor health. This study highlights the need to address financial burden in cancer survivors.

Out-of-hospital cardiac arrest in the home: Can area characteristics identify at-risk communities in the Republic of Ireland?

Background

Internationally, the majority of out-of-hospital cardiac arrests where resuscitation is attempted (OHCAs) occur in private residential locations i.e. at home. The prospect of survival for this patient group is universally dismal. Understanding of the area-level factors that affect the incidence of OHCA at home may help national health planners when implementing community resuscitation training and services.

Methods

We performed spatial smoothing using Bayesian conditional autoregression on case data from the Irish OHCA register. We further corrected for correlated findings using area level variables extracted and constructed for national census data.

Results

We found that increasing deprivation was associated with increased case incidence. The methodology used also enabled us to identify specific areas with higher than expected case incidence.

Conclusions

Our study demonstrates novel use of Bayesian conditional autoregression in quantifying area level risk of a health event with high mortality across an entire country with a diverse settlement pattern. It adds to the evidence that the likelihood of OHCA resuscitation events is associated with greater deprivation and suggests that area deprivation should be considered when planning resuscitation services. Finally, our study demonstrates the utility of Bayesian conditional autoregression as a methodological approach that could be applied in any country using registry data and area level census data.

Electronic supplementary material

The online version of this article (10.1186/s12942-018-0126-z) contains supplementary material, which is available to authorized users.