Wealth and inequality gradients for the detection and control of hypertension in older individuals in middle-income economies around 2007-2015

Socioeconomic inequalities in the detection and treatment of non-communicable diseases represent a challenge for healthcare systems in middle-income countries (MICs) in the context of population ageing. This challenge is particularly pressing regarding hypertension due to its increasing prevalence among older individuals in MICs, especially among those with lower socioeconomic status (SES). Using comparative data for China, Colombia, Ghana, India, Mexico, Russia and South Africa, we systematically assess the association between SES, measured in the form of a wealth index, and hypertension detection and control around the years 2007-15. Furthermore, we determine what observable factors, such as socio-demographic and health characteristics, explain existing SES-related inequalities in hypertension detection and control using a Blinder-Oaxaca decomposition. Results show that the prevalence of undetected hypertension is significantly associated with lower SES. For uncontrolled hypertension, there is evidence of a significant gradient in three of the six countries at the time the data were collected. Differences between rural and urban areas as well as lower and higher educated individuals account for the largest proportion of SES-inequalities in hypertension detection and control at the time. Improved access to primary healthcare in MICs since then may have contributed to a reduction in health inequalities in detection and treatment of hypertension. However, whether this indeed has been the case remains to be investigated

Disparities in Hypertension in Colombia: A Mixed-Method Study.

Cardiovascular disease is the leading cause of death in Colombia. However, in Colombia both the prevalence and social distribution of hypertension, the main risk factor for cardiovascular disease, have been understudied. Likewise, although macroeconomic factors have been highlighted to explain the growing burden of hypertension in poorer countries, the contribution of these factors remains poorly explained and measured. Finally, although Colombian municipalities play an important role in addressing living conditions that may influence the risk and disparities in hypertension, no previous studies have aimed to understand how social and political actors include living conditions in how they frame hypertension. The frames of these actors are likely to structure the decisions they make or implement with regard to prevention of and disparities in hypertension. This dissertation encompasses a mixed-methods study aimed at filling these research gaps. Chapter 1 describes the state of research on hypertension disparities in Latin American and proposes a broad conceptual model that guides this dissertation. Results of Chapter 2 suggest that education, markers of material resources, ethnicity/race and sex/gender are important in terms of shaping the social patterning of hypertension in the Colombian adult population. Chapter 3 examines the association between macroeconomic factors and hypertension and suggests that those adults who live in departments that for more than a decade have had high levels of income inequality are more likely to have hypertension than those living in less economically unequal departments. Chapter 4 describes a single-case study in which social and political actors identified that unemployment, unplanned urban space, and forced displacement, in combination with processes of stratification and marginalization, shape living conditions of residents of Quibdó and influence the development of and disparities in hypertension in this municipality. Chapter 5 proposes comprehensive recommendations for preventing and eliminating hypertension disparities. This dissertation provides evidence that the social patterning of hypertension in Colombia is linked to indicators of social position and income inequalities at the departmental level. These patterns and the role of living conditions are recognized by social actors, and inform both clinical and policy initiatives necessary to reduce hypertension risk and disparities in Colombia.PHDHealth Behavior & Health EducationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/107278/1/dilucumi_1.pd

Socioeconomic status and risk of cardiovascular disease in 20 low-income, middle-income, and high-income countries: The prospective urban rural epidemiologic (PURE) study

Background: Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status-wealth and education-differ among high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.Methods: In this large-scale prospective cohort study, we recruited adults aged between 35 years and 70 years from 367 urban and 302 rural communities in 20 countries. We collected data on families and households in two questionnaires, and data on cardiovascular risk factors in a third questionnaire, which was supplemented with physical examination. We assessed socioeconomic status using education and a household wealth index. Education was categorised as no or primary school education only, secondary school education, or higher education, defined as completion of trade school, college, or university. Household wealth, calculated at the household level and with household data, was defined by an index on the basis of ownership of assets and housing characteristics. Primary outcomes were major cardiovascular disease (a composite of cardiovascular deaths, strokes, myocardial infarction, and heart failure), cardiovascular mortality, and all-cause mortality. Information on specific events was obtained from participants or their family.Findings: Recruitment to the study began on Jan 12, 2001, with most participants enrolled between Jan 6, 2005, and Dec 4, 2014. 160 299 (87·9%) of 182 375 participants with baseline data had available follow-up event data and were eligible for inclusion. After exclusion of 6130 (3·8%) participants without complete baseline or follow-up data, 154 169 individuals remained for analysis, from five low-income, 11 middle-income, and four high-income countries. Participants were followed-up for a mean of 7·5 years. Major cardiovascular events were more common among those with low levels of education in all types of country studied, but much more so in low-income countries. After adjustment for wealth and other factors, the HR (low level of education vs high level of education) was 1·23 (95% CI 0·96-1·58) for high-income countries, 1·59 (1·42-1·78) in middle-income countries, and 2·23 (1·79-2·77) in low-income countries (pinteraction\u3c0·0001). We observed similar results for all-cause mortality, with HRs of 1·50 (1·14-1·98) for high-income countries, 1·80 (1·58-2·06) in middle-income countries, and 2·76 (2·29-3·31) in low-income countries (pinteraction\u3c0·0001). By contrast, we found no or weak associations between wealth and these two outcomes. Differences in outcomes between educational groups were not explained by differences in risk factors, which decreased as the level of education increased in high-income countries, but increased as the level of education increased in low-income countries (pinteraction\u3c0·0001). Medical care (eg, management of hypertension, diabetes, and secondary prevention) seemed to play an important part in adverse cardiovascular disease outcomes because such care is likely to be poorer in people with the lowest levels of education compared to those with higher levels of education in low-income countries; however, we observed less marked differences in care based on level of education in middle-income countries and no or minor differences in high-income countries.Interpretation: Although people with a lower level of education in low-income and middle-income countries have higher incidence of and mortality from cardiovascular disease, they have better overall risk factor profiles. However, these individuals have markedly poorer health care. Policies to reduce health inequities globally must include strategies to overcome barriers to care, especially for those with lower levels of education.Funding: Full funding sources are listed at the end of the paper (see Acknowledgments)

Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries

Artículo original23-37Objectives To examine the socioeconomic status (SES) health gradient for obesity, diabetes, and hypertension within a diverse group of health outcomes and behaviors among older adults (60+) in upper middle-income countries benchmarked with high-income countries. Method We used data from three upper middle-income settings (Colombia-SABE-Bogotá, Mexico-SAGE, and South Africa-SAGE) and two high-income countries (England-ELSA and US-HRS) to estimate logistic regression models using age, gender, and education to predict health and health behaviors. Results The sharpest gradients appear in middle-income settings but follow expected patterns found in high-income countries for poor self-reported health, functionality, cognitive impairment, and depression. However, weaker gradients appear for obesity, hypertension, diabetes, and other chronic conditions in Colombia and Mexico and the gradient reverses in South Africa. Strong disparities exist in risky health behaviors and in early nutritional status in the middle-income settings. Discussion Rapid demographic and nutritional transitions, urbanization, poor early life conditions, social mobility, negative health behavior, and unique country circumstances provide a useful framework for understanding the SES health gradient in middle-income settings. In contrast with high-income countries, the increasing prevalence of obesity, an important risk factor for chronic conditions and other aspects of health, may ultimately change the SES gradient for diseases in the future

Socioecological Factors Associated with Hypertension Awareness and Control Among Older Adults in Brazil and Colombia: Correlational Analysis from the International Mobility in Aging Study

Background: Hypertension awareness and control are understudied among older adults in middle-income countries, with limited work contextualizing awareness and control across layers of influence (individual to the community). Research on hypertension in Latin America is acknowledged as insufficient. Objectives: This study applies the socioecological model (SEM) to examine individual, interpersonal, institutional, and community factors related to hypertension awareness and control in older adults residing in Brazil and Colombia. It identifies groups of older adults more likely to be unaware of their condition and/or to have challenges achieving hypertension control. Methods: We analyzed International Mobility in Aging Study data of 803 community-dwelling adults 65–74 years from study sites in the two most populous countries in South America. The study framework was the socioecological model. Logistic regression models identified factors associated with hypertension awareness and control. Conclusions: Hypertension was prevalent in both samples (>70%), and awareness was high (>80%). Blood pressure control among diagnosed respondents was low: 30% in Brazil and 51% in Colombia. Factors across the socioecological model were associated with awareness and control, with notable differences across countries. Those with diabetes (OR 4.19, 95%CI 1.64–10.71) and insufficient incomes (OR: 1.85, 95%CI 1.03–3.31) were more likely to be aware of their hypertension. In Colombia, those reporting no community activity engagement were less likely to be aware compared to those reporting community activities. In Brazil, it was the opposite. Women (OR 1.66, 95%CI 1.12–2.46) and those reporting strolling shops and stores (OR 1.80, 95% CI 1.09–3.00) were significantly more likely to have their hypertension under control. In Brazil, those 70–75 were significantly less likely to have their hypertension under control compared to their younger counterparts. In Colombia, this was not observed. This paper highlights the importance of theory-based studies within unique Latin American contexts on hypertension and suggests novel opportunities for intervention

Socioeconomic inequalities in the prevalence and management of hypertension: analyses of the Chilean National Health Surveys 2003, 2010 and 2017

Background: Up-to-date information on hypertension prevalence and management indicators (awareness, treatment, control); measures of its socioeconomic inequalities; and their impacts are required in Chile. This PhD aims to quantify the prevalence of these indicators, the magnitude of their socioeconomic inequalities, and their association with mortality risk among adults in Chile 2003, 2010, and 2017. Methods: First, using 2003, 2010, and 2017 Chilean national health surveys (ENS) I analysed secular changes in levels of hypertension outcomes by demographic variables. Secondly, I analysed socioeconomic position (SEP) inequalities in hypertension outcomes using individual-level measures (educational level, income, and health insurance). Thirdly, using a multilevel approach, I evaluated the association between individual educational level and hypertension prevalence, before and after adjustment for socioeconomic environment measures (county-level income inequality, poverty, and unemployment). Finally, I analysed all-cause and cardiovascular mortality rates by educational level and hypertension status using ENS data linked with mortality registries. Results: Between 2003 and 2017, hypertension prevalence decreased (34%-31%), awareness increased slightly (58%-66%), whereas treatment (38%-65%) and control (13%-34%) levels increased substantially. Hypertension management levels were lower among males than females. Secondly, hypertension prevalence was higher among adults with lower levels of education. Inequalities by education in hypertension prevalence, untreated, and uncontrolled hypertension were more pronounced among females. Thirdly, multilevel analyses showed that the magnitude of inequalities by education level were minimally affected by socioeconomic environment measures. Finally, I found a higher risk of all-cause and cardiovascular mortality in participants with hypertension and at the lowest educational level. Conclusions: Despite favourable changes in hypertension outcomes over time, Chile currently needs innovative and collaborative strategies to improve hypertension management (especially among males), and simultaneously decrease SEP inequalities in hypertension outcomes (mainly among females). Interventions decreasing hypertension prevalence, improving hypertension management, and increasing educational levels could help to decrease the burden of premature mortality

The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations

Global initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (N = 23,694; M = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs.Fil: Santamaria Garcia, Hernando. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia. University of California; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Moguilner, Sebastian Gabriel. Universidad de San Andrés; Argentina. Massachusetts General Hospital; Estados Unidos. Universidad Adolfo Ibañez; ChileFil: Rodriguez Villagra, Odir Antonio. Universidad de Costa Rica; Costa RicaFil: Botero Rodriguez, Felipe. Pontificia Universidad Javeriana; ColombiaFil: Pina Escudero, Stefanie Danielle. University of California; Estados UnidosFil: O’Donovan, Gary. Universidad Adolfo Ibañez; Chile. Universidad de los Andes; ColombiaFil: Albala, Cecilia. Universidad de Chile; ChileFil: Matallana, Diana. Fundacion Santa Fe de Bogota; Colombia. Hospital Universitario San Ignacio; Colombia. Pontificia Universidad Javeriana; ColombiaFil: Schulte, Michael. Universidad Adolfo Ibañez; ChileFil: Slachevsky, Andrea. Universidad del Desarrollo; Chile. Universidad de Chile; ChileFil: Yokoyama, Jennifer S.. University of California; Estados UnidosFil: Possin, Katherine. University of California; Estados UnidosFil: Ndhlovu, Lishomwa C.. Weill Cornell Medicine; Estados UnidosFil: Al-Rousan, Tala. University of California at San Diego; Estados UnidosFil: Corley, Michael J.. Weill Cornell Medicine; Estados UnidosFil: Kosik, Kenneth. University of California; Estados UnidosFil: Muniz Terrera, Graciela. University of Edinburgh; Reino Unido. Ohio University; Estados UnidosFil: Miranda, J. Jaime. George Institute For Global Health; Australia. Cronicas Centro de Excelencia En Enfermedades Crónicas; Perú. Universidad Peruana Cayetano Heredia; PerúFil: Ibañez, Agustin Mariano. Universidad de San Andrés; Argentina. Trinity College Dublin; Irlanda. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; Chil

The influence of socio-environmental determinants on hypertension. A spatial analysis in Athens metropolitan area, Greece.

Introduction: While epidemiological and pathophysiological aspects of hypertension are still being investigated, there is an increased global interest between hypertension and social health determinants and environmental factors that this study aims to examine.Methods: The sample size used in this work included 2,445 individuals, from Athens metropolitan area, who were randomly enrolled in ATTICA study, during 2001 to 2002. Principal component analysis (PCA), Poisson regression modeling and geographical analysis, based on Geographic Information Systems (GIS) technology, were applied. Results: Geographical analysis and thematic mapping revealed that the West municipalities of Athens had the lowest socio-environmental status. Three components were derived from PCA: high, low and mixed socio-environmental status. Poisson regression analysis showed that high socio-environmental status, educational and economic level were negatively correlated with hypertension in some sectors of Athens (p<0.05, for all).Conclusions: Through the use of geospatial surveillance the underlying epidemiology of hypertension, and those at greater risk, can be more precisely determined. This study underlines the need to account for environmental factors when developing public health policies and programs for effective hypertension prevention or reduction