Hypertension among older adults in low- and middle-income countries: prevalence, awareness and control.
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ABSTRACT: Background
This study uses data from the World Health Organization's Study on Global Ageing and Adult Health (SAGE) to examine patterns of hypertension prevalence, awareness, treatment and control for people aged 50 years and over in China, Ghana, India, Mexico, the Russian Federation and South Africa.Methods
The SAGE sample comprises of 35 125 people aged 50 years and older, selected randomly. Hypertension was defined as ≥140 mmHg (systolic blood pressure) or ≥90 mmHg (diastolic blood pressure) or by currently taking antihypertensives. Control of hypertension was defined as blood pressure below 140/90 mmHg on treatment. A person was defined as aware if he/she was hypertensive and self-reported the condition.Results
Prevalence rates in all countries are broadly comparable to those of developed countries (52.9%; range 32.3% in India to 77.9% in South Africa). Hypertension was associated with overweight/obesity and was more common in women, those in the lowest wealth quintile and in heavy alcohol consumers. Awareness was found to be low for all countries, albeit with substantial national variations (48.3%; range 23.3% in Ghana to 72.1% in the Russian Federation). This was also the case for control (10.2%; range 4.1% in Ghana to 14.1% India) and treatment efficacy (26.3%; range 17.4% in the Russian Federation to 55.2% in India). Awareness was associated with increasing age, being female and being overweight or obese. Effective control of hypertension was more likely in older people, women and in the richest quintile. Obesity was associated with poorer control.Conclusions
The high rates of hypertension in low- and middle-income countries are striking. Levels of treatment and control are inadequate despite half those sampled being aware of their condition. Since cardiovascular disease is by far the largest cause of years of life lost in these settings, these findings emphasize the need for new approaches towards control of this major risk factor.
SUBMITTER: Lloyd-Sherlock P
PROVIDER: S-EPMC3937973 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC8091106 | biostudies-literature
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Project description:ImportanceVision impairment (VI), including blindness, affects hundreds of millions globally, and 90% of those with VI live in low- and middle-income countries. Cross-national comparisons are important to elucidate the unique and shared factors associated with VI and receipt of eye care in different countries and to target those most in need.ObjectiveTo identify the characteristics associated with VI and receipt of eye care in a sample of low- and middle-income countries.Design, setting, and participantsIn this study of cross-sectional survey data from wave 1 of the World Health Organization Study on Global Aging and Adult Health, data on sociodemographic characteristics and health were collected from nationally representative samples in China, Ghana, India, Mexico, Russia, and South Africa from 2007 to 2010. Probability sampling with multistage, stratified, random-cluster samples was used to identify households and participants. The survey was completed by 34 159 adults 50 years and older. Data were analyzed from December 2017 to February 2018.Main outcomes and measuresWe analyzed associations of individual-level and household-level covariates with 3 primary outcomes: distance VI (visual acuity worse than 6/18 in the better-seeing eye), near VI (visual acuity worse than 6/18 in the better-seeing eye), and receipt of an eye examination within the previous 2 years.ResultsThe study sample in China consisted of 13 350 participants (50.2% female; mean [SD] age, 62.6 [9.0] years); in Ghana, 4725 participants (50.4% female; mean [SD] age, 64.2 [10.8] years); in India, 7150 participants (48.9% female; mean [SD] age, 61.5 [9.0] years); in Mexico, 2103 participants (52.3% female; mean [SD] age, 69.2 [9.2] years); in Russia, 3763 participants (61.1% female; mean [SD] age, 63.9 [10.4] years); and in South Africa, 3838 participants (55.9% female; mean [SD] age 61.6 [9.5]) (all demographic characteristics weighted to reflect respective populations). The weighted proportion of the study sample with distance VI ranged from 9.9% (95% CI, 9.3-10.5) in China to 25.4% (95% CI, 22.0-29.2) in Russia; near VI, from 28.5% (95% CI, 26.9-30.1) in Ghana to 43.1% (95% CI, 41.1-45.1) in India; and receipt of a recent eye examination, from 15.0% (95% CI, 13.8-16.2) in Ghana to 53.1% (95% CI, 49.3-56.8) in Russia. Educational attainment, medical comorbidities, and memory were significantly associated with all outcomes across most low- and middle-income countries. Female sex, low household wealth, food insecurity, no health insurance, rurality, disability, being unmarried, and low social participation were significantly associated with adverse vision-related outcomes, though less consistently.Conclusions and relevanceThere are both common and unique characteristics associated with VI and receipt of eye care across low- and middle-income countries. Our findings suggest that recognizing these factors is important to identify those most at risk and allocate resources optimally. Additional local epidemiological studies are needed.
| S-EPMC6440432 | biostudies-literature
Project description:BackgroundThe influence of urbanicity on hypertension prevalence remains poorly understood. We conducted a systematic review and meta-analysis to assess the difference in hypertension prevalence between urban and rural areas in low-income and middle-income countries (LMICs), where the most pronounced urbanisation is underway.Methods and findingsWe searched PubMed, Web of Science, Scopus, and Embase, from 01/01/1990 to 10/03/2022. We included population-based studies with ≥400 participants 15 years and older, selected by using a valid sampling technique, from LMICs that reported the urban-rural difference in hypertension prevalence using similar blood pressure measurements. We excluded abstracts, reviews, non-English studies, and those with exclusively self-reported hypertension prevalence. Study selection, quality assessment, and data extraction were performed by 2 independent reviewers following a standardised protocol. Our primary outcome was the urban minus rural prevalence of hypertension. Hypertension was defined as systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure as ≥90 mm Hg and could include use of antihypertensive medication, self-reported diagnosis, or both. We investigated heterogeneity using study-level and socioeconomic country-level indicators. We conducted meta-analysis and meta-regression using random-effects models. This systematic review and meta-analysis has been registered with PROSPERO (CRD42018091671). We included 299 surveys from 66 LMICs, including 19,770,946 participants (mean age 45.4 ± SD = 9 years, 53.0% females and 63.1% from rural areas). The pooled prevalence of hypertension was 30.5% (95% CI, 28.9, 32.0) in urban areas and 27.9% (95% CI, 26.3, 29.6) in rural areas, resulting in a pooled urban-rural difference of 2.45% (95% CI, 1.57, 3.33, I-square: 99.71%, tau-square: 0.00524, Pheterogeneity < 0.001). Hypertension prevalence increased over time and the rate of change was greater in rural compared to urban areas, resulting in a pooled urban-rural difference of 5.75% (95% CI, 4.02, 7.48) in the period 1990 to 2004 and 1.38% (95% CI, 0.40, 2.37) in the period 2005 to 2020, p < 0.001 for time period. We observed substantial heterogeneity in the urban-rural difference of hypertension, which was partially explained by urban-rural definition, probably high risk of bias in sampling, country income status, region, and socioeconomic indicators. The urban-rural difference was 5.67% (95% CI, 4.22, 7.13) in low, 2.74% (95% CI, 1.41, 4.07) in lower-middle and -1.22% (95% CI, -2.73, 0.28) in upper-middle-income countries in the period 1990 to 2020, p < 0.001 for country income. The urban-rural difference was highest for South Asia (7.50%, 95% CI, 5.73, 9.26), followed by sub-Saharan Africa (4.24%, 95% CI, 2.62, 5.86) and reversed for Europe and Central Asia (-6.04%, 95% CI, -9.06, -3.01), in the period 1990 to 2020, p < 0.001 for region. Finally, the urban-rural difference in hypertension prevalence decreased nonlinearly with improvements in Human Development Index and infant mortality rate. Limitations included lack of data available from all LMICs and variability in urban and rural definitions in the literature.ConclusionsThe prevalence of hypertension in LMICs increased between 1990 and 2020 in both urban and rural areas, but with a stronger trend in rural areas. The urban minus rural hypertension difference decreased with time, and with country-level socioeconomic development. Focused action, particularly in rural areas, is needed to tackle the burden of hypertension in LMICs.
| S-EPMC9410549 | biostudies-literature
Project description:Background As screening programs in low- and middle-income countries (LMICs) often do not have the resources to screen the entire population, there is frequently a need to target such efforts to easily identifiable priority groups. This study aimed to determine (1) how hypertension prevalence in LMICs varies by age, sex, body mass index, and smoking status, and (2) the ability of different combinations of these variables to accurately predict hypertension. Methods and Results We analyzed individual-level, nationally representative data from 1 170 629 participants in 56 LMICs, of whom 220 636 (18.8%) had hypertension. Hypertension was defined as systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or reporting to be taking blood pressure-lowering medication. The shape of the positive association of hypertension with age and body mass index varied across world regions. We used logistic regression and random forest models to compute the area under the receiver operating characteristic curve in each country for different combinations of age, body mass index, sex, and smoking status. The area under the receiver operating characteristic curve for the model with all 4 predictors ranged from 0.64 to 0.85 between countries, with a country-level mean of 0.76 across LMICs globally. The mean absolute increase in the area under the receiver operating characteristic curve from the model including only age to the model including all 4 predictors was 0.05. Conclusions Adding body mass index, sex, and smoking status to age led to only a minor increase in the ability to distinguish between adults with and without hypertension compared with using age alone. Hypertension screening programs in LMICs could use age as the primary variable to target their efforts.
| S-EPMC8403275 | biostudies-literature
Project description:IntroductionWe conducted this study among older adults with the following objectives: (1) To find out the prevalence, awareness, treatment and control of hypertension, (2) To understand the factors associated with hypertension prevalence and control.MethodsA mixed-methods study employing a sequential explanatory design was conducted with a survey of 300 participants aged ≥60 years, and 15 in-depth interviews. Blood Pressure (BP) and waist circumference were measured using standard protocol. Survey data were analysed using univariate and multivariate procedures. In-depth interviews were analysed employing thematic analysis.ResultsHypertension prevalence was 72.3% (95% CI = 67.1-77.2), 68.2% (CI = 61.8-74.2) were aware, 65.4% (CI = 59.0-71.6) were treated and 24% (CI = 18.6-29.9) achieved adequate control. Inadequate physical activity [(adjusted odds ratio (AOR)] = 2.34; CI = 1.19-4.59), current alcohol use (AOR = 2.28; CI = 1.06-4.91) and self-reported diabetes (AOR = 2.02; CI = 1.15-3.52) were associated with hypertension prevalence. Those who reported diabetes (AOR = 2.72, CI = 1.34-5.55), with education level up to high school (AOR = 2.58, CI = 1.11-6.00) and who were in the age group 60-70 years (AOR = 2.14, CI = 1.09-4.20) were more likely to have controlled hypertension compared to their counterparts. From the in-depth interviews it was found that availability and accessibility of services, family support, financial wellbeing, habits and beliefs and conducive environment played a role in hypertension diagnosis and management.DiscussionPrevalence of hypertension was high in this population along with poor control. Efforts are required to improve hypertension control focussing on older adults with low education and those who are aged 70 years and above.
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