On the Association Between Social Determinants of Health and Disability in Stroke-Free Older Adults Living in Rural Settings. The Three Villages Study

PROTOCOL: Effects of social prescribing for older adults: An evidence and gap map

Objectives This is the protocol for an evidence and gap map. The objectives are as follows: The aim of this evidence and gap map is to map the available evidence on the effectiveness of social prescribing interventions addressing a non-medical, health-related social need for older adults in any setting. Specific objectives are as follows: 1.To identify existing evidence from primary studies and systematic reviews on the effects of community-based interventions that address non-medical, health-related social needs of older adults to improve their health and wellbeing.2.To identify research evidence gaps for new high-quality primary studies and systematic reviews.3.To highlight evidence of health equity considerations from included primary studies and systematic reviews.

Detrimental effect of high social risk on the cardiovascular health status of community-dwelling older adults living in rural settings. A population-based, longitudinal prospective study

BACKGROUND

Information of the effect of social risk on the cardiovascular health (CVH) status among individuals living in rural settings is limited. We aim to assess this effect in participants of the Three Villages Study cohort.

METHODS

Following a longitudinal prospective design, older adults living in rural Ecuador received baseline social risk determinations by means of social determinants of health components included in the Gijon's Social-Familial Evaluation Scale (SFES) together with clinical interviews and procedures to determine CVH status included in the Life's Simple 7 construct. Those who also received CVH assessment at the end of the study were included. Random-effects generalized least square and mixed logistic regression models were fitted to assess the longitudinal effect of social risk on CVH metrics, after adjusting for relevant covariates.

RESULTS

The study included 443 community dwellers (mean age: 67 ± 7 years). The Gijon's SFES mean score was 9.8 ± 2.7 points. The mean number of ideal CVH metrics at baseline was 3.1 ± 1.3, which decreased to 2.6 ± 1.2 (β: -0.467; 95% C.I.: -0.588 to -0.346), after a mean of 7.31 ± 3.26 years of follow-up. The total Gijon's SFES score was higher among individuals with a worsening CVH status compared to those who did not (10.4 ± 2.6 versus 9.3 ± 2.6; p < 0.001). The ideal CVH status declined 1.23 (95% C.I.: 1.13-1.34) times per point of change in the total Gijon's SFES score.

CONCLUSION

Study results indicate a deleterious effect of high social risk on CVH status at follow-up in this underserved population.

High Social Risk Influence Progression of White Matter Hyperintensities of Presumed Vascular Origin: A Prospective Study in Community-Dwelling Older Adults

BACKGROUND

Information on cerebrovascular consequences of high social risk, as determined by the social determinants of health, is limited. We sought to evaluate the impact of high social risk on the progression of white matter hyperintensities (WMHs) of presumed vascular origin.

METHODS

Following a longitudinal prospective study design, participants of the Atahualpa Project Cohort received baseline social risk determinations by means of social determinants of health components included in the Gijon's Social-Familial Evaluation Scale together with clinical interviews and brain magnetic resonance imagings. Those who also received follow-up brain magnetic resonance imaging at the end of the study were included. We used Poisson regression models adjusted for demographics, education levels and traditional cardiovascular risk factors to assess the incidence rate ratio of WMH progression according to the Gijon's Social-Familial Evaluation Scale score.

RESULTS

The study included 263 individuals aged ≥60 years (mean age, 65.7±6.2 years; 57% women). The Gijon's Social-Familial Evaluation Scale mean score was 8.9±2.2 points. Follow-up magnetic resonance imagings revealed WMH progression in 103 (39%) individuals after a mean follow-up of 6.5 years (SD±1.4 years). Poisson regression models showed increased WMH progression rate among individuals in the third tertile of the Gijon's Social-Familial Evaluation Scale score compared with those in the first tertile (incidence rate ratio, 1.65 [95% CI, 1.05-2.61]; P=0.032). Separate Poisson regression models using individual social determinants of health components showed that poor social relationships (incidence rate ratio, 1.39 [95% CI, 1.10-1.77]; P=0.006) and deficient support networks (incidence rate ratio, 1.79 [95% CI, 1.19-2.69]; P=0.005) were independently associated with WMH progression, whereas family situation, economic status, and housing did not.

CONCLUSIONS

Poor social relationships and deficient support networks were significantly associated with WMH progression in community-dwelling older adults living in a rural setting. Our findings may help planning cost-effective preventive policies to reduce progression of cerebral small vessel disease among vulnerable populations.

Social determinants of health and cognitive performance of older adults living in rural communities: The Three Villages Study

OBJECTIVES

There is limited information on factors associated with poor cognitive performance in rural settings of Low- and Middle-Income Countries. Using the Three Villages Study Cohort, we assessed whether social determinants of health (SDH) play a role in cognitive performance among older adults living in rural Ecuador.

METHODS

Atahualpa, El Tambo and Prosperidad residents aged ≥60 years received measurement of SDH by means of the Gijon Scale together with a Montreal Cognitive Assessment (MoCA). The association between SDH and cognitive performance (dependent variable) was assessed by generalized linear models, adjusted for demographics, years of education, cardiovascular risk factors, symptoms of depression and biomarkers of structural brain damage.

RESULTS

We included 513 individuals (mean age: 67.9 ± 7.3 years; 58% women). The mean score on the Gijon scale was 9.9 ± 2.9 points, with 237 subjects classified as having a high social risk (≥10 points). The mean MoCA score was 19.6 ± 5.4 points. Locally weighted scatterplot smoothing showed an inverse linear relationship between SDH and MoCA scores. SDH and MoCA scores were inversely associated in linear models adjusted for clinical covariates (β: -0.17; 95% C.I.: -0.32 to -0.02; p = 0.020), neuroimaging covariates (β: -0.17; 95% C.I.: -0.31 to -0.03; p = 0.018), as well as in the most parsimonious model (β: -0.16; 95% C.I.: -1.30 to -0.02; p = 0.026).

CONCLUSIONS

Study results provide robust evidence of an inverse association between SDH and cognitive performance. Interventions and programs aimed to reduce disparities in the social risk of older adults living in underserved rural populations may improve cognitive performance in these individuals.

Social Determinants of Health (Social Risk) and Nutritional Status Among Community-Dwelling Older Adults Living in a Rural Setting: The Atahualpa Project

Background:

Several studies have attempted to clarify the role of social determinants of health (SDH) on nutritional status of older adults, but results are inconsistent due to differences in SDH assessments at different levels of population development. In this study, we assessed this association in community-dwelling older adults living in rural Ecuador. Methods: SDH were measured by the Gijon’s Social-Familial Evaluation Scale (SFES) and nutritional status by the Mini Nutritional Assessment (MNA^®). Multivariate logistic regression models were fitted to assess the association between SDH components and nutritional status. Locally weighted scatterplot smoothing (LOWESS) and a generalized linear model were used to evaluate the potential non-linearity of the association between the Gijon’s SFES and MNA^® scores.

Results:

A total of 295 individuals (mean age: 72.1 ± 7.6 years; 58% women) were enrolled. There was an inverse association between the total Gijon’s SFES and nutritional status (OR: 0.75; 95% C.I.: 0.65-0.86; P < .001). Three of five components of the Gijon’s SFES (family situation, social relationships, and support networks) were inversely associated with nutritional status in multivariate logistic regression models. A LOWESS plot, together with a generalized linear model, showed an inverse linear relationship between the continuous Gijon’s SFES and MNA^® scores. One standard deviation of increase in the continuous Gijon’s SFES score (2.39 points) decreased the MNA^® score by 0.78 points.

Conclusion:

Study results show a significant inverse association between high social risk and a good nutritional status. Components of the Gijon’s SFES measuring social isolation are responsible for this association.