Neighborhood Characteristics and Elevated Blood Pressure in Older Adults

Psychosocial profiles and blood pressure control: results from the multi-ethnic study of atherosclerosis (MESA)

Growing research shows psychosocial factors are associated with blood pressure (BP) control among individuals with hypertension. To date, little research has examined multiple psychosocial factors simultaneously to identify distinguishing profiles among individuals with hypertension. The association of psychosocial profiles and BP control remains unknown. To characterize the psychosocial profiles of individuals with hypertension and assess whether they are associated with BP control over 14 years. We included 2,665 MESA participants with prevalent hypertension in 2002-2004. Nine psychosocial variables representing individual, interpersonal, and neighborhood factors were included. BP control was achieved if systolic blood pressure (SBP)  < 140 mmHg and diastolic blood pressure (DBP) < 9090 mmHg. Latent profile analysis (LPA) revealed an optimal model of three psychosocial profile groups (AIC 121,229; entropy = .88) "Healthy", "Psychosocially Distressed" and "Discriminated Against". Overall, there were no significant differences in systolic and diastolic BP control combined, across the profiles. Participants in the "Discriminated Against" profile group were significantly less likely [OR= 0.60; 95% CI: 0.43, 0.84] to have their DBP < 9090 mmHg as compared to the "Healthy" profile, but this was attenuated with full covariate adjustment. Discrete psychosocial profiles exist among individuals with hypertension but were not associated with BP control after full covariate adjustment.

Impact of Social Determinants of Health on Hypertension Outcomes: A Systematic Review

Despite ample evidence linking social determinants of health (SDoH) and hypertension outcomes, efforts to address SDoH in the context of hypertension prevention and self-management are not commensurate with the burden and impact of hypertension. To provide valuable insights into the development of targeted and effective strategies for preventing and managing hypertension, this systematic review, guided by the Healthy People 2030 SDoH framework, aims to summarize the inclusion, measurement, and evaluation of SDoH in studies examining hypertension outcomes, with a focus on characterizing SDoH constructs and summarizing the current evidence of their influence on hypertension outcomes. Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a comprehensive search of electronic databases identified 10 608 unique records, from which 57 articles meeting inclusion criteria were analyzed. The studies, conducted nationally or regionally across the United States, revealed that higher educational attainment, health insurance coverage, income, and favorable neighborhood characteristics were associated with lower hypertension prevalence and better hypertension control among US adults. The findings underscore the importance of addressing SDoH such as education, health care access, economic stability, neighborhood environments, and social context to reduce hypertension disparities. Multilevel collaboration and community-engaged practices are necessary to tackle these disparities effectively.

Association of neighborhood deprivation and hypertension: A systematic review and meta-analysis

BACKGROUND

Hypertension impacts nearly one billion individuals and is a primary health challenge. While traditional perspectives have focused on individual behavior and genetics as principal risk factors, recent research underscores the profound influence of socioeconomic factors within neighborhoods on the risk of hypertension. This systematic review and meta-analysis is aimed to elucidate the association between neighborhood deprivation and the risk of hypertension.

METHODS

A comprehensive literature search was conducted across PubMed, Embase, and Web of Science from inception until December 25, 2023. Observational studies defining neighborhood deprivation and reporting hypertension incidence were included. Nested Knowledge software was used for screening and data extraction, with study quality assessed using the Newcastle-Ottawa Scale. Statistical analysis was performed with R software (V 4.3), using a random-effects model to calculate the pooled relative risk (RR).

RESULTS

Twenty-six studies were included in the qualitative analysis and 22 in the meta-analysis, covering over 62 million participants. The pooled RR was 1.139 (95% CI: 1.006 - 1.290), p=0.04, indicating a higher hypertension risk in deprived neighborhoods. Subgroup analyses showed variability by country and deprivation assessment methods. RR varied from 1.00 in Japan (95% CI: 0.93-1.08) to 1.60 (95% CI: 1.07-2.39) in France and 1.57 (95% CI: 0.67-3.70) in Germany, with significant heterogeneity observed in measures of neighborhood deprivation.

CONCLUSION

Our analysis confirms a significant association between neighborhood deprivation and hypertension, underscoring the importance of socioeconomic factors in public health. It highlights the need for targeted local assessments and interventions. Future research should explore the causal mechanisms and effectiveness of interventions addressing neighborhood deprivation.