Incidence of COVID-19 infection and prevalence of diabetes, obesity and hypertension according to altitude in Peruvian population.

To investigate the cumulative incidence and mortality of COVID-19 and the prevalence of comorbidities such as diabetes, obesity and hypertension in regions with different altitude levels ranging from sea level to high altitude. METHODOLOGY: Analytical study in which we correlated secondary data obtained from reports of the Ministry of Health and National Institute for Statistics and Informatic. The cumulative incidence and mortality of COVID-19 in 25 peruvian regions is reported, together with its relationnship with altitude levels during March-July 2020 using Pearsons correlation. We also aiming to assess the prevalence of diabetes, obesity and hypertension with altitude according to the ENDES 2018 data using Gamma statistics. RESULTS: COVID-19 maintained an inverse correlation with higher rates in the coastal regions and lower rates with increasing altitude in the cumulative incidence (Pearson = -0.8, p < 0.000) and mortality (Pearson = -0.77, p < 0.000), adjusted gender and age. The prevalence of diabetes and obesity showed the same inverse correlation trend with altitude (Gamma p < 0.000) but not hypertension (Gamma p = 0.13) CONCLUSIONS: The data in Peru it is suggested that physiological adaptation in a hypoxic environment at high altitude may protect persons from the severe impact of acute infection caused by SARS-CoV-2. The reduction in cumulative incidence and mortality rates with increasing altitude is the main finding. Possible mechanisms such as a decreased expression of angiotensin-converting enzyme 2 (ACE2) and a lower virulence because of a high altitude environment, may explain this epidemiological features. In addition, the lower prevalence of diabetes, obesity and hypertension may establish a protective epidemiology against these disease.

Prevalence of diabetes and impaired fasting glucose in Peru: report from PERUDIAB, a national urban population-based longitudinal study.

OBJECTIVES: We aimed to estimate the prevalences of diabetes and impaired fasting glucose (IFG) in a national sample in Peru and assess the relationships with selected sociodemographic variables. METHODS: We estimated prevalence in PERUDIAB study participants, a nationwide, stratified urban and suburban population selected by random cluster sampling. Between 2010 and 2012, questionnaires were completed and blood tests obtained from 1677 adults ≥25 years of age. Known diabetes was defined as participants having been told so by a doctor or nurse and/or receiving insulin or oral antidiabetic agents. Newly diagnosed diabetes was defined as fasting plasma glucose ≥126 mg/dL determined during the study and without a previous diabetes diagnosis. IFG was defined as fasting plasma glucose of 100-125 mg/dL. RESULTS: The estimated national prevalence of diabetes was 7.0% (95% CI 5.3% to 8.7%) and it was 8.4% (95% CI 5.6% to 11.3%) in metropolitan Lima. No gender differences were detected. Known and newly diagnosed diabetes prevalences were estimated as 4.2% and 2.8%, respectively. A logistic regression response surface model showed a complex trend for an increased prevalence of diabetes in middle-aged individuals and in those with no formal education. Diabetes prevalence was higher in coastal (8.2%) than in highlands (4.5%; p=0.03), and jungle (3.5%; p<0.02) regions. The estimated national prevalence of IFG was 22.4%, higher in males than in females (28.3% vs 19.1%; p<0.001), and higher in coastal (26.4%) than in highlands (17.4%; p=0.03), but not jungle regions (14.9%; p=0.07). CONCLUSIONS: This study confirms diabetes as an important public health problem, especially for middle-aged individuals and those with no formal education. 40% of the affected individuals were undiagnosed. The elevated prevalence of IFG shows that nearly a quarter of the adult population of Peru has an increased risk of diabetes.