Risk factors for incident cardiovascular events and their population attributable fractions in rural India: The Rishi Valley Prospective Cohort Study.

OBJECTIVE: We prospectively determined incident cardiovascular events and their association with risk factors in rural India. METHODS: We followed up with 7935 adults from the Rishi Valley Prospective Cohort Study to identify incident cardiovascular events. Using Cox proportional hazards regression, we estimated hazard ratios (HRs) with 95% confidence intervals (95% CI) for associations between potential risk factors and cardiovascular events. Population attributable fractions (PAFs) for risk factors were estimated using R ('averisk' package). RESULTS: Of the 4809 participants without prior cardiovascular disease, 57.7% were women and baseline mean age was 45.3 years. At follow-up (median of 4.9 years, 23,180 person-years [PYs]), 202 participants developed cardiovascular events, equating to an incidence of 8.7 cardiovascular events/1000 PYs. Incidence was greater in those with hypertension (hazard ratio [HR] [95% CI] 1.73 [1.21-2.49], adjusted PAF 18%), diabetes (1.96 [1.15-3.36], 4%) or central obesity (1.77 [1.23, 2.54], 9%) which together accounted for 31% of the PAF. Non-traditional risk factors such as night sleeping hours and number of children accounted for 16% of the PAF. CONCLUSIONS: Both traditional and non-traditional cardiovascular risk factors are important contributors to incident cardiovascular events in rural India. Interventions targeted to these factors could assist in reducing the incidence of cardiovascular events.

Comparison of the performance of cardiovascular risk prediction tools in rural India: the Rishi Valley Prospective Cohort Study.

AIMS: We compared the performance of cardiovascular risk prediction tools in rural India. METHODS AND RESULTS: We applied the World Health Organization Risk Score (WHO-RS) tools, Australian Risk Score (ARS), and Global risk (Globorisk) prediction tools to participants aged 40-74 years, without prior cardiovascular disease, in the Rishi Valley Prospective Cohort Study, Andhra Pradesh, India. Cardiovascular events during the 5-year follow-up period were identified by verbal autopsy (fatal events) or self-report (non-fatal events). The predictive performance of each tool was assessed by discrimination and calibration. Sensitivity and specificity of each tool for identifying high-risk individuals were assessed using a risk score cut-off of 10% alone or this 10% cut-off plus clinical risk criteria of diabetes in those aged >60 years, high blood pressure, or high cholesterol. Among 2333 participants (10 731 person-years of follow-up), 102 participants developed a cardiovascular event. The 5-year observed risk was 4.4% (95% confidence interval: 3.6-5.3). The WHO-RS tools underestimated cardiovascular risk but the ARS overestimated risk, particularly in men. Both the laboratory-based (C-statistic: 0.68 and χ2: 26.5, P = 0.003) and non-laboratory-based (C-statistic: 0.69 and χ2: 20.29, P = 0.003) Globorisk tools showed relatively good discrimination and agreement. Addition of clinical criteria to a 10% risk score cut-off improved the diagnostic accuracy of all tools. CONCLUSION: Cardiovascular risk prediction tools performed disparately in a setting of disadvantage in rural India, with the Globorisk performing best. Addition of clinical criteria to a 10% risk score cut-off aids assessment of risk of a cardiovascular event in rural India. LAY SUMMARY: In a cohort of people without prior cardiovascular disease, tools used to predict the risk of cardiovascular events varied widely in their ability to accurately predict who would develop a cardiovascular event.The Globorisk, and to a lesser extent the ARS, tools could be appropriate for this setting in rural India.Adding clinical criteria, such as sustained high blood pressure, to a cut-off of 10% risk of a cardiovascular event within 5 years could improve identification of individuals who should be monitored closely and provided with appropriate preventive medications.

Combining general and central measures of adiposity to identify risk of hypertension: a cross-sectional survey in rural India.

AIM: In three socioeconomically diverse regions of rural India, we determined the optimal cut-offs for definition of overweight, the prevalence of overweight, and the relationships between measures of overweight and risk of hypertension. SUBJECTS AND METHODS: Villages were randomly sampled within rural Trivandrum, West Godavari, and Rishi Valley. Sampling of individuals was stratified by age group and sex. Cut-offs for measures of adiposity were compared using area under the receiver operating characteristic curve. Associations between hypertension and definitions of overweight were assessed by logistic regression. RESULTS: Of 11 657 participants (50 % male; median age 45 years), 29.8 % had hypertension. Large proportions were overweight as defined by body mass index (BMI) ≥ 23 kg/m2 (47.7 %), waist circumference (WC) ≥ 90 cm for men or ≥ 80 cm for women (39.6 %), waist-hip ratio (WHR) ≥ 0.9 for men or ≥ 0.8 for women (65.6 %), waist-height ratio (WHtR) ≥ 0.5 (62.5 %), or by BMI plus either WHR, WC or WHtR (45.0 %). All definitions of overweight were associated with hypertension, with optimal cut-offs being at, or close to, the World Health Organization (WHO) Asia-Pacific standards. Having overweight according to both BMI and a measure of central adiposity was associated with approximately twice the risk of hypertension than overweight defined by only one measure. CONCLUSIONS: Overweight, as assessed by both general and central measures, is prevalent in rural southern India. WHO standard cut-offs are appropriate in this setting for assessing risk of hypertension. However, combining BMI with a measure of central adiposity identifies risk of hypertension better than any single measure. The risk of hypertension is significantly greater in those centrally and generally overweight than those overweight by a single measure.

Association of hypertension with infection and inflammation in a setting of disadvantage in rural India.

We assessed the association of hypertension with markers of inflammation and infection in a rural and disadvantaged Indian population. In a case-control study, we age- and gender-matched 300 cases with hypertension to 300 controls without hypertension. Blood pressure was measured according to a strict protocol. We measured markers of inflammation and infection including serum high-sensitivity C-reactive protein (hs-CRP), blood lymphocyte count, serum homocysteine, tooth loss, overcrowding and exposure to fecal contamination. Multivariable conditional logistic regression was used to determine their association with hypertension. Median serum hs-CRP was 42% greater in cases than controls, while median serum homocysteine was 10% greater. In multivariable conditional logistic regression, elevated homocysteine (OR 1.75, 95% CI 1.09-2.82), greater lymphocyte count (OR 1.49, 95% CI 1.01-2.01) and exposure to fecal contamination, defined as a distance from the field used for toilet purposes to the household of ≤50 m (OR 2.38, 95% CI 1.07-5.29), were independently associated with hypertension in this rural population. In separate analyses for each gender, elevated hs-CRP (OR 2.62, 95% CI 1.04-6.58) was associated with hypertension in men, whereas edentulism (OR 4.75, 95% CI 1.62-13.96) was associated with greater odds of hypertension in women. Our findings demonstrate specific associations between hypertension and markers of inflammation and infection including hs-CRP, homocysteine, lymphocyte count, edentulism and exposure to fecal contamination. Thus, strategies aimed at reducing inflammation and infection may reduce the burden of hypertension in such settings of disadvantage in rural India.

ASHA-Led Community-Based Groups to Support Control of Hypertension in Rural India Are Feasible and Potentially Scalable.

Background: To improve the control of hypertension in low- and middle-income countries, we trialed a community-based group program co-designed with local policy makers to fit within the framework of India's health system. Trained accredited social health activists (ASHAs), delivered the program, in three economically and developmentally diverse settings in rural India. We evaluated the program's implementation and scalability. Methods: Our mixed methods process evaluation was guided by the United Kingdom Medical Research Council guidelines for complex interventions. Meeting attendance reports, as well as blood pressure and weight measures of attendees and adherence to meeting content and use of meeting tools were used to evaluate the implementation process. Thematic analysis of separate focus group discussions with participants and ASHAs as well as meeting reports and participant evaluation were used to investigate the mechanisms of impact. Results: Fifteen ASHAs led 32 community-based groups in three rural settings in the states of Kerala and Andhra Pradesh, Southern India. Overall, the fidelity of intervention delivery was high. Six meetings were delivered over a 3-month period to each of the intervention groups. The mean number of meetings attended by participants at each site varied significantly, with participants in Rishi Valley attending fewer meetings [mean (SD) = 2.83 (1.68)] than participants in West Godavari (Tukeys test, p = 0.009) and Trivandrum (Tukeys test, p < 0.001) and participants in West Godavari [mean (SD) = 3.48 (1.72)] attending significantly fewer meetings than participants in Trivandrum [mean (SD) = 4.29 (1.76), Tukeys test, p < 0.001]. Culturally appropriate intervention resources and the training of ASHAs, and supportive supervision of them during the program were critical enablers to program implementation. Although highly motivated during the implementation of the program ASHA reported historical issues with timely remuneration and lack of supportive supervision. Conclusions: Culturally appropriate community-based group programs run by trained and supported ASHAs are a successful and potentially scalable model for improving the control of hypertension in rural India. However, consideration of issues related to unreliable/insufficient remuneration for ASHAs, supportive supervision and their formal role in the wider health workforce in India will be important to address in future program scale up. Trial Registration: Clinical Trial Registry of India [CTRI/2016/02/006678, Registered prospectively].

Renal and dietary factors associated with hypertension in a setting of disadvantage in rural India.

Using a case-control design, we determined risk factors associated with hypertension in a disadvantaged rural population in southern India. Three hundred adults with hypertension and 300 age- and sex-matched controls were extensively phenotyped. Underweight (29%, body mass index < 18.0 kg m-2), chronic kidney disease (25%, estimated glomerular filtration rate <60 ml min-1 1.73 m-2) and anemia (82%) were highly prevalent. The ratio of sodium to potassium excretion was high (8.2). In multivariable conditional logistic regression of continuous variables dichotomized by their median value, hypertension was independently associated with greater abdominal adiposity as assessed by waist-hip ratio [odds ratio (95% confidence interval), 1.89 (1.21-2.97)], lesser protein intake as assessed by 24 h urea excretion [0.39 (0.24-0.65)], and lesser plasma renin activity [0.54 (0.35-0.84)]. Hypertension tended to be independently associated with lesser serum potassium concentration [0.66 (0.44-1.01), P = 0.06]. Furthermore, those with hypertension reported less frequent intake of vegetables and urinary sodium-potassium ratio correlated positively with serum sodium-potassium ratio (r = 0.18). Hypertension was also independently associated with lesser blood hemoglobin concentration [0.48 (0.26-0.88)]. Blood hemoglobin concentration was positively associated with serum iron (r = 0.41) and ferritin (r = 0.25) concentration and negatively associated with total iron binding capacity (r = -0.17), reflecting iron-deficiency anemia. Our findings indicate potential roles for deficient intake of potassium and protein, and iron-deficiency anemia, in the pathophysiology of hypertension in a setting of disadvantage in rural India. Imbalanced intake of potassium and sodium may be driven partly by deficient intake of vegetables or fruit.

Effectiveness of a scalable group-based education and monitoring program, delivered by health workers, to improve control of hypertension in rural India: A cluster randomised controlled trial.

BACKGROUND: New methods are required to manage hypertension in resource-poor settings. We hypothesised that a community health worker (CHW)-led group-based education and monitoring intervention would improve control of blood pressure (BP). METHODS AND FINDINGS: We conducted a baseline community-based survey followed by a cluster randomised controlled trial of people with hypertension in 3 rural regions of South India, each at differing stages of epidemiological transition. Participants with hypertension, defined as BP ≥ 140/90 mm Hg or taking antihypertensive medication, were advised to visit a doctor. In each region, villages were randomly assigned to intervention or usual care (UC) in a 1:2 ratio. In intervention clusters, trained CHWs delivered a group-based intervention to people with hypertension. The program, conducted fortnightly for 3 months, included monitoring of BP, education about hypertension, and support for healthy lifestyle change. Outcomes were assessed approximately 2 months after completion of the intervention. The primary outcome was control of BP (BP < 140/90 mm Hg), analysed using mixed effects regression, clustered by village within region and adjusted for baseline control of hypertension (using intention-to-treat principles). Of 2,382 potentially eligible people, 637 from 5 intervention clusters and 1,097 from 10 UC clusters were recruited between November 2015 and April 2016, with follow-up occurring in 459 in the intervention group and 1,012 in UC. Mean age was 56.9 years (SD 13.7). Baseline BP was similar between groups. Control of BP improved from baseline to follow-up more in the intervention group (from 227 [49.5%] to 320 [69.7%] individuals) than in the UC group (from 528 [52.2%] to 624 [61.7%] individuals) (odds ratio [OR] 1.6, 95% CI 1.2-2.1; P = 0.001). In secondary outcome analyses, there was a greater decline in systolic BP in the intervention than UC group (-5.0 mm Hg, 95% CI -7.1 to -3.0; P < 0.001) and a greater decline in diastolic BP (-2.1 mm Hg, 95% CI -3.6 to -0.6; P < 0.006), but no detectable difference in the use of BP-lowering medications between groups (OR 1.2, 95% CI 0.8-1.9; P = 0.34). Similar results were found when using imputation analyses that included those lost to follow-up. Limitations include a relatively short follow-up period and use of outcome assessors who were not blinded to the group allocation. CONCLUSIONS: While the durability of the effect is uncertain, this trial provides evidence that a low-cost program using CHWs to deliver an education and monitoring intervention is effective in controlling BP and is potentially scalable in resource-poor settings globally. TRIAL REGISTRATION: The trial was registered with the Clinical Trials Registry-India (CTRI/2016/02/006678).

Knowledge of risk factors for hypertension in a rural Indian population.

OBJECTIVE: To study knowledge of risk factors and consequences of hypertension in a rural population in South India. METHODS: This is a community-based study conducted among adults of a rural population in the Rishi Valley, India. Residents of randomised rural villages were invited to participate in a study of hypertension. We obtained measures of blood pressure, height, weight, waist and hip circumferences and questionnaire-based information on knowledge about hypertension, sociodemographic characteristics and health behaviours. Multivariable logistic regression analyses were conducted to determine the factors associated with knowledge of risk factors for hypertension (knowledge of ≥2 risk factors). RESULTS: The study comprised 641 adults; 132 aware and 218 unaware of their hypertension, and 291 with normal blood pressure. Only 31% of participants knew that hypertension adversely affects an individual's health and 7% knew the benefits of treating hypertension. Almost a third (30%) of those aware of their hypertensive status, and 48% overall, did not know any of the risk factors for hypertension. Being aware of one's hypertensive status (OR 2.51, 95% CI 1.44 to 4.39), being treated for hypertension, male sex, younger age, having some schooling, abdominal obesity and physical inactivity were associated with better knowledge of risk factors for hypertension. CONCLUSION: Knowledge of risk factors and consequences of hypertension in this disadvantaged population was poor. There was better knowledge of risk factors in some, but not all, people who were aware of having hypertension. Screening and targeted educational programmes are warranted in this population to improve health behaviours and reduce the consequences of hypertension.

Dietary behaviours, weight loss attempts and change in waist circumference: 15-year longitudinal study in Australian adults.

BACKGROUND AND OBJECTIVES: Dietary behaviours are suitable as clearly identifiable targets of dietary counselling to prevent weight gain. We therefore investigated associations between dietary behaviours, weight loss attempts and waist circumference change. METHODS AND STUDY DESIGN: Participants were a community-based sample population residing in Nambour, Australia, including 1,317 adults, aged 25-75 years at baseline. Waist circumference was measured in 1992 and 2007, and dietary behaviours data were derived concurrently from repeated self-completed short dietary questions. Multivariable models, stratified by sex, were adjusted for potential confounders. RESULTS: In men, consumption of visible fat on meat and in women, weight loss attempts in the last 10 years were the most important predictors of waist circumference gain independent of socio-demographic and lifestyle characteristics and energy intake. Men who consumed most visible fat on meat had a 2.6 times larger yearly increase in waist circumference than men who tended to cut the fat off meat: 0.47 (95% CI 0.23, 0.72) vs 0.18 (95% CI 0.01, 0.34) cm/year, p=0.01. Women who reported that they were always trying to lose weight had a 2.7 times larger yearly increase in waist circumference than women who never tried to lose weight: 0.78 (0.54, 1.02) vs 0.29 (0.06, 0.52) cm/year, p=0.0001. Other dietary behaviours were not associated with change in waist circumference. CONCLUSIONS: Consumption of visible fat on meat by men and more frequent attempts to lose weight by women were main dietary behaviours associated with gain in abdominal adiposity in Australian adults.

Dietary patterns and weight change: 15-year longitudinal study in Australian adults.

BACKGROUND: Dietary intake is one of the most modifiable risk factors associated with obesity. However, data on the relationship between dietary patterns and long-term weight change are limited. PURPOSE: We therefore investigated the association between dietary patterns and 15-year weight change in a sample of 1186 Australian adults (1992-2007). METHODS: We measured body weight and collected data on socio-demographic and lifestyle characteristics in 1992 and 2007. Applying principal component analysis to 38 food groups from a food frequency questionnaire collected at baseline, we identified two dietary patterns: 'meat-and-fat' and 'fruit-and-vegetable.' Using generalized estimating equations, multivariable regression models, stratified by sex, were adjusted for concurrent changes in socio-demographic and lifestyle variables. RESULTS: The average increase in body weight of men in the highest tertile of the meat-and-fat pattern was more than twice that of men in the lowest tertile; mean weight change (95 % CI): 4.8 (-0.1, 9.7) kg versus 2.3 (-2.6, 7.1) kg, P-for-trend = 0.02. In contrast, average weight gain of men in the highest tertile of the fruit-and-vegetable pattern was only about half that of men in the lowest tertile; mean weight change (95 % CI): 2.9 (-2.0, 7.8) kg versus 5.4 (-1.5, 10.4) kg, P-for-trend = 0.02. Among women, dietary patterns were not related to weight change. CONCLUSIONS: These dietary patterns predict change in body weight in men, but not in women. In this cohort, a dietary pattern high in fruit and vegetables was related to less weight gain in men than a dietary pattern high in meat and fat.

Cluster randomised feasibility trial to improve the Control of Hypertension In Rural India (CHIRI): a study protocol.

INTRODUCTION: Hypertension is emerging in rural populations of India. Barriers to diagnosis and treatment of hypertension may differ regionally according to economic development. Our main objectives are to estimate the prevalence, awareness, treatment and control of hypertension in 3 diverse regions of rural India; identify barriers to diagnosis and treatment in each setting and evaluate the feasibility of a community-based intervention to improve control of hypertension. METHODS AND ANALYSIS: This study includes 4 main activities: (1) assessment of risk factors, quality of life, socioeconomic position and barriers to changes in lifestyle behaviours in ∼14 500 participants; (2) focus group discussions with individuals with hypertension and indepth interviews with healthcare providers, to identify barriers to control of hypertension; (3) use of a medicines-availability survey to determine the availability, affordability and accessibility of medicines and (4) trial of an intervention provided by Accredited Social Health Activists (ASHAs), comprising group-based education and support for individuals with hypertension to self-manage blood pressure. Wards/villages/hamlets of a larger Mandal are identified as the primary sampling unit (PSU). PSUs are then randomly selected for inclusion in the cross-sectional survey, with further randomisation to intervention or control. Changes in knowledge of hypertension and risk factors, and clinical and anthropometric measures, are assessed. Evaluation of the intervention by participants provides insight into perceptions of education and support of self-management delivered by the ASHAs. ETHICS AND DISSEMINATION: Approval for the overall study was obtained from the Health Ministry's Screening Committee, Ministry of Health and Family Welfare (India), institutional review boards at each site and Monash University. In addition to publication in peer-reviewed articles, results will be shared with federal, state and local government health officers, local healthcare providers and communities. TRIAL REGISTRATION NUMBER: CTRI/2016/02/006678; Pre-results.

Association between salt and hypertension in rural and urban populations of low to middle income countries: a systematic review and meta-analysis of population based studies.

BACKGROUND AND OBJECTIVES: The prevalence of hypertension, the greatest contributor to mortality globally, is increasing in low-and-middle income countries (LMICs). In urban regions of LMICs, excessive salt intake is associated with increased risk of hypertension. We aimed to determine whether this is the case in rural regions as well. METHODS AND STUDY DESIGN: We performed a meta-analysis of studies in rural and urban areas of LMICs in which the association of salt and hypertension were assessed using multivariable models. RESULTS: We identified 18 studies with a total of 134,916 participants. The prevalence of high salt intake ranged from 21.3% to 89.5% in rural and urban populations. When salt was analysed as a continuous variable, a greater impact of salt on hypertension was found in urban (n=4) (pooled effect size (ES) 1.42, 95% CI 1.19, 1.69) than in rural populations (n=4) (pooled ES 1.07, 95% CI 1.04, 1.10, p for difference <0.001). In studies where salt was analysed continuously, a greater impact of salt on hypertension was observed in lean rural populations (BMI <23 kg/m2) than in non-lean rural populations (BMI >=23 kg/m2, p for difference <0.001). CONCLUSIONS: The prevalence of high salt intake is similar in rural and urban regions. Excessive salt intake has a greater impact on the prevalence of hypertension in urban than rural regions. BMI appears to modify the relationship between salt and hypertension in rural populations.

Novel dietary intake assessment in populations with poor literacy.

BACKGROUND AND OBJECTIVES: Cultural and/or environmental barriers make the assessment of dietary intake in rural populations challenging. We aimed to assess the accuracy of a meal recall questionnaire, adapted for use with impoverished South Indian populations living in rural areas. METHODS AND STUDY DESIGN: Dietary data collected by recall versus weighed meals were compared. Data were obtained from 45 adults aged 19-85 years, living in rural Andhra Pradesh, who were recruited by convenience sampling. Weighed meal records (WMRs) were conducted in the household by a researcher aided by a trained field worker. The following day, field workers conducted a recall interview with the same participant. Eight life size photographs of portions of South Indian foods were created to aid each participant's recall and a database of nutrients was developed to calculate nutrient intake. Pearson correlations were used to assess the strength of associations between intake of energy and nutrients calculated from meal recalls versus WMRs. Least products regression was conducted to examine fixed and proportional bias. Bland-Altman plots were constructed to measure systematic or differential bias. RESULTS: Significant correlations were observed between estimates for energy and nutrients obtained by the two methods (r2=0.19-0.67, p<0.001). No systematic bias was detected by Bland-Altman plots. Recall method underestimated the intake of protein and fat in a manner proportional to the level of intake. CONCLUSIONS: Our culturally adapted meal recall questionnaire provides an accurate measure for assessment of the intake of energy, macronutrients and some micronutrients in rural Indian populations.

Adiposity has a greater impact on hypertension in lean than not-lean populations: a systematic review and meta-analysis.

More than 75 % of people with hypertension live in low-to-middle income countries (LMICs). Based on the mismatch theory of developmental origins of disease, we hypothesised that the impact of adiposity on hypertension is augmented in lean compared with not-lean populations in rural areas of LMICs (RLMICs). We reviewed studies from RLMICs in which the association between body mass index (BMI) or waist circumference (WC) and hypertension was assessed using multivariable models. Applying random effect models, we conducted separate meta-analyses, depending on whether BMI/WC was assessed as a continuous or categorical variable. In each analysis, the studies were ranked by the mean BMI of the total population. Those populations with a mean BMI below the median were categorised as lean and those above the median as not-lean. We identified 46 studies of BMI and 12 of WC. The risk of hypertension was greater in lean than in not-lean populations. Obese males in lean populations were 45 % more likely to be hypertensive compared to obese males in not-lean populations, ratio of the two effect sizes: 1.45 (95 % CI 1.04, 2.03), p = 0.027. Also, individuals with WC above normal in lean populations were 52 % more likely to be hypertensive than their counterparts in not-lean populations, ratio of the two effect sizes: 1.52 (95 % CI 1.06, 2.17), p = 0.021. We conclude that the risk of hypertension associated with adiposity is greater in lean than in not-lean populations. This provides further evidence for the mismatch theory and highlights the need for strategies to improve nutrition in disadvantaged RLMICs.

Do the socioeconomic and hypertension gradients in rural populations of low- and middle-income countries differ by geographical region? A systematic review and meta-analysis.

BACKGROUND: Of the 1 billion people with hypertension globally, two-thirds reside in low- and middle-income countries (LMICs). The risk of hypertension in LMICs is thought to be positively associated with socioeconomic status (SES). However, recent studies have provided data inconsistent with this concept. Thus, we assessed the association between SES and hypertension in rural populations of LMICs. Further, we explored whether this association differs according to geographical region. METHODS: Through a search of databases we identified population-based studies that presented risk estimates for the association between SES, or any of its proxies, and hypertension. Meta-analyses were conducted using a random effects model. RESULTS: Overall, no association was detected between educational status and hypertension, whereas a positive association was observed with income. Interestingly, educational status was inversely associated with hypertension in East Asia {effect size [ES] 0.82 [95% confidence interval (CI) 0.78, 0.87]} but positively associated in South Asia [ES 1.28 (95% CI 1.14, 1.43)]. Higher income, household assets or social class were positively associated with hypertension in South Asia whereas no association was detected in East Asia and Africa. Compared with other occupations, farmers or manual labourers were associated with a lower risk for hypertension. Further, in regions such as Latin America, few studies were identified that fulfilled our inclusion criteria. CONCLUSIONS: We provide evidence that the association between hypertension and SES in rural populations of LMICs in Asia varies according to geographical region. This has important implications for targeting intervention strategies aimed at high-risk populations in different geographical regions.

Association between farming and chronic energy deficiency in rural South India.

OBJECTIVE: To examine factors associated with chronic energy deficiency (CED) and anaemia in disadvantaged Indian adults who are mostly involved in subsistence farming. DESIGN: A cross-sectional study in which we collected information on socio-demographic factors, physical activity, anthropometry, blood haemoglobin concentration, and daily household food intake. These data were used to calculate body mass index (BMI), basal metabolic rate (BMR), daily energy expenditure, and energy and nutrient intake. Multivariable backward stepwise logistic regression was used to assess socioeconomic and lifestyle factors associated with CED (defined as BMI<18 kg/m²) and anaemia. SETTING: The study was conducted in 12 villages, in the Rishi Valley, Andhra Pradesh, India. SUBJECTS: Individuals aged 18 years and above, residing in the 12 villages, were eligible to participate. RESULTS: Data were available for 1178 individuals (45% male, median age 36 years (inter quartile range (IQR 27-50)). The prevalence of CED (38%) and anaemia (25%) was high. Farming was associated with CED in women (2.20, 95% CI: 1.39-3.49) and men (1.71, 95% CI: (1.06-2.74). Low income was also significantly associated with CED, while not completing high school was positively associated with anaemia. Median iron intake was high: 35.7 mg/day (IQR 26-46) in women and 43.4 mg/day (IQR 34-55) in men. CONCLUSIONS: Farming is an important risk factor associated with CED in this rural Indian population and low dietary iron is not the main cause of anaemia. Better farming practice may help to reduce CED in this population.

Discharge is a critical time to influence 10-year use of secondary prevention therapies for stroke.

BACKGROUND AND PURPOSE: When optimally managed, patients with stroke are less likely to have further vascular events. We aimed to identify factors associated with optimal use of secondary prevention therapies in long-term survivors of stroke. METHODS: We carefully documented discharge medications at baseline and self-reported use of medications at annual follow-up in the Northeast Melbourne Stroke Incidence Study (NEMESIS). We defined optimal medication use when patients reported taking (1) antihypertensive agents and (2) statin and antithrombotic agents (ischemic stroke only). Logistic regression was used to assess factors associated with optimal medication use between 2 and 10 years after stroke. RESULTS: We recruited 1241 patients with stroke. Optimal prescription at discharge from hospital was the most important factor associated with optimal medication use at each time point: odds ratio (OR), 32.2 (95% confidence interval [CI], 13.6-76.1) at 2 years; OR, 7.86 (95% CI, 4.48-13.8) at 5 years (425 of 505 survivors); OR, 6.04 (95% CI, 3.18-11.5) at 7 years (326 of 390 survivors); and OR, 2.62 (95% CI, 1.19-5.77) at 10 years (256 of 293 survivors). Associations were similar in men and women. The association between optimal prescription at discharge and optimal medication use at each time point was greater in those who were not disadvantaged, particularly women. CONCLUSIONS: Prescription of medications at hospital discharge was the strongest predictor of ongoing medication use in survivors of stroke, even at 10 years after stroke. Ensuring that patients with stroke are discharged on optimal medications is likely to improve their long-term management, but further strategies might be required among those who are disadvantaged.

Is stroke incidence in low- to middle-income countries driven by economics?

The incidence of stroke in low- to middle-income countries now exceeds that in high-income countries. These low- to middle-income countries also have greater case fatality and a younger age of stroke onset, factors that contribute to a high stroke burden. Macroeconomic indicators of socioeconomic status, such as health expenditure, appear to be inversely associated with stroke incidence. However, there are often large socioeconomic gradients between regions such as between urban and rural regions. This article emphasizes that macroeconomic indicators are likely to mask regional disparities in stroke incidence. Public health messages and prevention strategies must therefore be targeted regionally rather than nationwide. Without a comprehensive and multifaceted approach to prevention, the epidemic of stroke will continue.