Hypertension prevalence by degrees of urbanization and altitude in Peru: pooled analysis of 186 906 participants

Mendoza-Quispe, Daniel; Chambergo‐Michilot, Diego; Moscoso-Porras, Miguel; Bernabé‐Ortiz, Antonio

doi:10.1097/hjh.0000000000003444

Cited by 1 publication

(1 citation statement)

References 25 publications

(48 reference statements)

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“…Meanwhile, in the TOR-NASOL II study [38], it was reported that the prevalence of hypertension was lower in communities located above 3,000 masl, compared to those located below. Likewise, Mendoza-Quispe et al [39] reported that hypertension was lower in regions with altitudes higher than 2,500 and 3,500 m, compared to regions with altitudes lower than 1,500 m. However, there is a discrepancy with our findings in other studies conducted in populations residing at high altitudes. In studies conducted in Nepal, it was reported that the prevalence of hypertension and the mean SBP increased with altitude [15,40].…”

Section: Plos Onecontrasting

confidence: 99%

Hypertension subtypes at high altitude in Peru: Analysis of the Demographic and Family Health Survey 2016–2019

Ortiz-Saavedra,

Montes-Madariaga,

Moreno-Loaiza

et al. 2024

PLoS ONE

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Background The prevalence of hypertension in Peru has increased over the years. Approximately one third of the Peruvian population lives at high altitudes. This population presents particular physiological, genetic and environmental characteristics that could be related to the prevalence of hypertension and its subtypes. Objective To assess the association between altitude and hypertension in the Peruvian population through an analysis of a nationally representative survey. Methods We conducted a cross-sectional analysis of the Demographic and Family Health Survey for the period 2016–2019. We included 122,336 individuals aged 18 years and older. Hypertension was defined according to the JNC-7 guidelines. High-altitude location was defined as a residential cluster located above 2,500 meters above sea level. We utilized generalized linear models from the Poisson family with a log-link function to assess the magnitude of the association between high altitude and hypertension. Additionally, we employed multinomial regression models to analyze the association between high altitude and subtypes of hypertension, including isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), and systolic-diastolic hypertension (SDH). Results In the adjusted Poisson regression model, we found that the prevalence of hypertension among participants living at high altitudes was lower compared to those living at low altitudes (aPR: 0.89; 95% CI: 0.86–0.93). In the adjusted multinomial regression model, we observed a lower prevalence rate of ISH among participants residing at high altitudes (aRPR: 0.68; 95% CI: 0.61–0.73) and a higher prevalence rate of IDH among participants residing at high altitudes (aRPR: 1.60; 95% CI: 1.32–1.94). Conclusions Residents at high altitudes in Peru have a lower prevalence rate of ISH and a higher prevalence rate of IDH compared to those living at low altitudes. Further studies are needed to determine the influence of other biological, environmental, and healthcare access factors on this relationship.

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Section: Plos Onecontrasting

confidence: 99%