Factors Associated With Drug Consumption Without Scientific Evidence in Patients With Mild COVID-19 in Peru.

OBJECTIVE: This study aimed to evaluate the factors associated with the consumption of drugs without scientific evidence in patients with mild COVID-19 infection in Peru. METHODS: An analytical cross-sectional study was carried out including 372 adult patients with a history of mild COVID-19 disease. Factors associated with drug consumption were evaluated by Poisson regressions with robust variance adjustment using the bootstrapping resampling method. RESULTS: Seventy-two percent consumed some medication without scientific evidence, with antibiotics (71%) and ivermectin for human use (68%) being the most commonly used. Factors associated with the consumption of drugs to treat mild COVID-19 infection were thinking that the drugs are not effective (adjusted prevalence ratio, 0.55; 95% confidence interval, 0.41-0.74) and not being informed about the efficacy of the drugs (adjusted prevalence ratio, 0.48; 95% confidence interval, 0.36-0.65). CONCLUSIONS: Education of the population seems to be the main factor that increases the consumption of drugs without scientific evidence in the Peruvian population to treat mild COVID-19.

Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas.

OBJECTIVE: To determine the factors associated with prevention practices against COVID-19 in the Peruvian population according to rural vs. urban locations. METHODS: Analytical cross-sectional study, secondary analysis based on a previously collected database. A sample of individuals over 18 years of age, residing in Peru and with no history of COVID-19was evaluated. Factors associated with prevention practices were evaluated using Poisson regressions with variance adjustment by region cluster and stratified by rurality. RESULTS: Of 3231 participants included, 2741 (84.8%) were from urban areas and 490 (15.2%) from rural areas. The frequency of good prevention practices against COVID-19 was 27.8% in our total sample. In urban areas the frequency of good prevention practices was 28.8% and in rural areas it was 22.5%. Factors associated with prevention practices against COVID-19 in both urban and rural areas were male sex (urban: aPR 0.64, 95%CI 0.55-0.75; rural: aPR 0.66, 95%CI 0.54-0.80) and self-considering adequately carrying out prevention practices (urban: aPR 2.48, 95%CI 2.13-2.89; rural: aPR 2.70, 95%CI 2.27-3.19). CONCLUSION: The frequency of good prevention practices against COVID-19 was less than 30% in both urban and rural areas. There are differences in the factors associated with good preventive practice against COVID-19. Only sex and considering that preventive measures were adequately carried out were associated with good prevention practices in both areas. In view of this, prevention measures should be promoted taking into account cultural principles and considering geographical location in the face of present and future outbreaks or pandemics.

Mental Disorders and Level of Resilience in Eight High-Altitude Cities of Peru during the Second Pandemic Wave: A Multicenter Population-Based Study.

COVID-19 has led us to take preventive measures, such as social isolation, to reduce the high transmissibility of the disease. This could have affected the mental health of various population groups and the development of resilience as a mitigator. A cross-sectional analytical study was conducted with 700 participants from eight cities. The dependent variables were depression, anxiety, and post-traumatic stress disorder (PTSD). The independent variable was resilience. Generalized logistic regressions were used to identify the associations between the variables. The population consisted mostly of university students (65.0%); the rest of the population was distributed among workers of public or private institutions, housewives, and others (35.0%). High prevalences of anxiety (72.7%), depression (64.1%), and PTSD (15.1%) were found, as well as a median (interquartile range) resilience score of 24 points was determined. Factors associated with a high prevalence of PTSD were having lost employment and having a family member who died from COVID-19. For depression, associated factors were severe food insecurity and hypersomnia. For anxiety, associated factors were were having a deceased family member with COVID-19 and mild food insecurity. Our results show that, during the pandemic, the general population had a higher prevalence of mental disorders. In addition, anxiety was the most prevalent of the dependent variables. Special attention should be paid to the factors influencing the development of mental disorders and mental health prevention and promotion programs should be established.