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Cardiovascular Disease Profile of the Oldest Adults in Rural South Africa: Data from the HAALSI Study (Health and Aging in Africa: Longitudinal Studies of INDEPTH Communities).

ABSTRACT: OBJECTIVES:To characterize the cardiovascular disease (CVD) profile of individuals aged 80 and older in rural South Africa. DESIGN:First wave of population-based longitudinal cohort. SETTING:Agincourt subdistrict (Mpumalanga Province) in rural South Africa. PARTICIPANTS:Adults residents (N?=?5,059). MEASUREMENTS:In-person interviews were conducted to obtain social, behavioral, economic, and clinical data. Prevalence of hypertension, diabetes, dyslipidemia, high waist-to-hip ratio, overweight and obesity, high-risk high-sensitivity C-reactive protein, smoking, stroke, myocardial infarction, angina pectoris, and heart failure in individuals younger than 65, aged 65 to 79, and aged 80 and older were compared. Associations between self-reported treatments and determinants of hypertension treatment in those aged 80 and older were assessed using multivariable regression. RESULTS:Of 5,059 individuals included, 549 (10.8%) were aged 80 and older, and their CVD prevalence was 17.9% (stroke 3.8%, myocardial infarction 0.5%, angina pectoris 13.5%, heart failure 0.7%). Hypertension prevalence in this group was 73.8%, and along with angina pectoris, it increased with age (p<.001), whereas overweight and obesity (46.4%), dyslipidemia (39.1%), and smoking prevalences (3.1%) decreased (p<.001). Hypertension treatment was significantly associated with being aged 80 and older (odds ratio (OR)=1.48; 95% confidence interval (CI)=1.14-1.92, p=.003). Male sex (OR=0.73, 95% CI=0.66-0.88, p=.001), being an immigrant (OR=0.80, 95% CI=0.65-0.98; p=.03), higher socioeconomic status (OR=1.28, 95% CI=1.06-1.53, p=.009), and higher depression score (OR=1.12, 95% CI=1.05-1.19, p<.001) were associated with hypertension treatment in those aged 80 and older. CONCLUSION:This is the first study to characterize the CVD profile of individuals aged 80 and older in sub-Saharan Africa and provides baseline data for comparison with future studies in this rapidly growing age group. J Am Geriatr Soc 66:2151-2157, 2018.

SUBMITTER: Jardim TV

PROVIDER: S-EPMC6417425 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Cardiovascular Disease Profile of the Oldest Adults in Rural South Africa: Data from the HAALSI Study (Health and Aging in Africa: Longitudinal Studies of INDEPTH Communities).

Jardim Thiago Veiga TV Witham Miles D MD Abrahams-Gessel Shafika S Gómez-Olivé F Xavier FX Tollman Stephen S Berkman Lisa L Gaziano Thomas A TA

Journal of the American Geriatrics Society 20181012 11

<h4>Objectives</h4>To characterize the cardiovascular disease (CVD) profile of individuals aged 80 and older in rural South Africa.<h4>Design</h4>First wave of population-based longitudinal cohort.<h4>Setting</h4>Agincourt subdistrict (Mpumalanga Province) in rural South Africa.<h4>Participants</h4>Adults residents (N = 5,059).<h4>Measurements</h4>In-person interviews were conducted to obtain social, behavioral, economic, and clinical data. Prevalence of hypertension, diabetes, dyslipidemia, hig ...[more]

PMID: 30312474

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Project description:Dyslipidemia is a primary driver for chronic cardiovascular conditions and there is no comprehensive literature about its management in South Africa. The objective of this study was to assess the prevalence, awareness, treatment, and control of dyslipidemia in rural South Africa and how they are impacted by different behaviors and non-modifiable factors. To fulfill this objective we recruited for this cohort study adults aged ≥40 years residing in the Agincourt sub-district of Mpumalanga Province. Data collection included socioeconomic and clinical data, anthropometric measures, blood pressure (BP), HIV-status, point-of-care glucose and lipid levels. Framingham CVD Risk Score was ascribed to patients based upon categories for 10 year cardiovascular risk of low (<3%), moderate (≥3% and <15%), high (≥15% and <30%), and very high (≥30%).LDL cholesterol control by risk category was defined according to South African Guidelines. Multivariable logistic regression models were built to identify factors that were significantly associated with dyslipidemia and awareness of dyslipidemia From 5,059 respondents a total of 4247 subjects (83.9%) had their cholesterol levels measured and were included in our analysis. Overall, 67.3% (2860) of these met criteria for dyslipidemia, only 30 (1.05%) were aware of their condition, and only 21 subjects (0.73%) were on treatment. The majority have abnormalities in triglycerides (59.3%). As cardiovascular risk increased the rates of lipid control according to LDL level dropped. Multivariate logistic regression analyses showed that being overweight was predictive of dyslipidemia (OR 1.76; 95%CI 1.51-2.05, p<0.001) and dyslipidemia awareness (OR 2.58; 95%CI 1.19-5.58; p = 0.017). In conclusion, the very low awareness and treatment of dyslipidemia in this cohort indicate a greater need for systematic screening and education within the population and demonstrate that there are multiple opportunities to allay this burden.

Project description:IntroductionThe real-world association between male circumcision and HIV status has important implications for policy and intervention practice. For instance, women may assume that circumcised men are safer sex partners than non-circumcised men and adjust sexual partnering and behavior according to these beliefs. Voluntary medical male circumcision (VMMC) is highly efficacious in preventing HIV acquisition in men and this biological efficacy should lead to a negative association between circumcision and HIV. However, behavioral factors such as differential selection into circumcision based on current HIV status or factors associated with future HIV status could reverse the association. Here, we examine how HIV prevalence differs by circumcision status in older adult men in a rural South African community, a non-experimental setting in a time of expanding VMMC access.MethodsWe analyzed data collected from a population-based sample of 2345 men aged 40 years and older in a rural community served by the Agincourt Health and socio-Demographic Surveillance System site in Mpumalanga province, South Africa. We describe circumcision prevalence and estimate the association between circumcision and laboratory-confirmed HIV status with log-binomial regression models.ResultsOne quarter of older men reported circumcision, with slightly more initiation-based circumcisions (56%) than hospital-based circumcisions (44%). Overall, the evidence did not suggest differences in HIV prevalence between circumcised and uncircumcised men; however, those who reported hospital-based circumcision were more likely to test HIV-positive [PR (95% CI): 1.28 (1.03, 1.59)] while those who reported initiation-based circumcision were less likely to test HIV-positive [PR (95% CI): 0.68 (0.51, 0.90)]. Effects were attenuated, but not reversed after adjustment for key covariates.ConclusionsMedically circumcised older men in a rural South African community had higher HIV prevalence than uncircumcised men, suggesting that the effect of selection into circumcision may be stronger than the biological efficacy of circumcision in preventing HIV acquisition. The impression given from circumcision policy and dissemination of prior trial findings that those who are circumcised are safer sex partners may be incorrect in this age group and needs to be countered by interventions, such as educational campaigns.

Project description:BACKGROUND:Evidence on cognitive function in older South Africans is limited, with few population-based studies. We aimed to estimate baseline associations between cognitive function and cardiometabolic disease risk factors in rural South Africa. METHODS:We use baseline data from "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), a population-based study of adults aged 40 and above in rural South Africa in 2015. Cognitive function was measured using measures of time orientation, immediate and delayed recall, and numeracy adapted from the Health and Retirement Study cognitive battery (overall total cognitive score range 0-26). We used multiple linear regression to estimate associations between cardiometabolic risk factors (including BMI, hypertension, dyslipidemia, diabetes, history of stroke, alcohol frequency, and smoking status) and the overall cognitive function score, adjusted for potential confounders. RESULTS:In multivariable-adjusted analyses (n = 3018; male = 1520; female = 1498; median age 59 (interquartile range 50-67)), cardiometabolic risk factors associated with lower cognitive function scores included: diabetes (b = - 1.11 [95% confidence interval: - 2.01, - 0.20] for controlled diabetes vs. no diabetes); underweight BMI (b = - 0.87 [CI: - 1.48, - 0.26] vs. normal BMI); and current and past smoking history compared to never smokers. Factors associated with higher cognitive function scores included: obese BMI (b = 0.74 [CI: 0.39, 1.10] vs. normal BMI); and controlled hypertension (b = 0.53 [CI: 0.11, 0.96] vs. normotensive). CONCLUSIONS:We provide an important baseline from rural South Africa on the associations between cardiometabolic disease risk factors and cognitive function in an older, rural South African population using standardized clinical measurements and cut-offs and widely used cognitive assessments. Future studies are needed to clarify temporal associations as well as patterns between the onset and duration of cardiometabolic conditions and cognitive function. As the South African population ages, effective management of cardiometabolic risk factors may be key to lasting cognitive health.

Dataset Information

Cardiovascular Disease Profile of the Oldest Adults in Rural South Africa: Data from the HAALSI Study (Health and Aging in Africa: Longitudinal Studies of INDEPTH Communities).

Publications

Cardiovascular Disease Profile of the Oldest Adults in Rural South Africa: Data from the HAALSI Study (Health and Aging in Africa: Longitudinal Studies of INDEPTH Communities).

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