Key result
Obesity linked to ~106% higher hypertension prevalence and strongly associated with type-2 diabetes.
Why the study?
It is important to understand the local burden and within-country heterogeneity of non-communicable diseases including hypertension and type-2 diabetes in Peru.
What is the association between modifiable risk factors and the prevalence of hypertension and type-2 diabetes in Peruvian resource-limited settings?
Cross-Sectional (n=3,238)
Yes
What is the association between modifiable risk factors and the prevalence of hypertension and type-2 diabetes in Peruvian resource-limited settings?
Relative Risk: 2.06
Obesity is a major modifiable risk factor driving the high prevalence of hypertension and type-2 diabetes in resource-limited settings in Peru.
Obesity may warrant targeted screening in Peruvian resource-limited settings; leaves open causal impact and intervention effects on hypertension and diabetes.
BACKGROUND: It is important to understand the local burden of non-communicable diseases including within-country heterogeneity. The aim of this study was to characterise hypertension and type-2 diabetes profiles across different Peruvian geographical settings emphasising the assessment of modifiable risk factors. METHODS: Analysis of the CRONICAS Cohort Study baseline assessment was conducted. Cardiometabolic outcomes were blood pressure categories (hypertension, prehypertension, normal) and glucose metabolism disorder status (diabetes, prediabetes, normal). Exposures were study setting and six modifiable factors (smoking, alcohol drinking, leisure time and transport-related physical activity levels, TV watching, fruit/vegetables intake and obesity). Poisson regression models were used to report prevalence ratios (PR). Population attributable risks (PAR) were also estimated. RESULTS: Data from 3238 participants, 48.3% male, mean age 45.3 years, were analysed. Age-standardised (WHO population) prevalence of prehypertension and hypertension was 24% and 16%, whereas for prediabetes and type-2 diabetes it was 18% and 6%, respectively. Outcomes varied according to study setting (p<0.001). In multivariable model, hypertension was higher among daily smokers (PR 1.76), heavy alcohol drinkers (PR 1.61) and the obese (PR 2.06); whereas only obesity (PR 2.26) increased the prevalence of diabetes. PAR showed that obesity was an important determinant for hypertension (15.7%) and type-2 diabetes (23.9%). CONCLUSIONS: There is an evident heterogeneity in the prevalence of and risk factors for hypertension and diabetes within Peru. Prehypertension and prediabetes are highly prevalent across settings. Our results emphasise the need of understanding the epidemiology of cardiometabolic conditions to appropriately implement interventions to tackle the burden of non-communicable diseases.
No takes yet. Share an insight, caveat, or question.
Bernabé‐Ortiz et al. (2015) conducted a cross-sectional in Hypertension and type-2 diabetes (n=3,238). Modifiable risk factors (e.g., obesity, smoking, heavy alcohol drinking) vs. Absence of risk factors was evaluated on Prevalence of hypertension (PR 2.06). Obesity was a major determinant for hypertension (PR 2.06) and type-2 diabetes (PR 2.26), with population attributable risks of 15.7% and 23.9%, respectively.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: