Se elaboró una encuesta con un total de 23 ítems en una escala likert, para medir la percepción de maltrato de tipo psicológico, físico, académico y sexual; se usaron análisis estadísticos univariados y bivariados. Resultados. Se encuestaron 281 estudiantes. La percepción de maltrato psicológico fue 96,8%, académico 86,8%, físico 62,6% y sexual 20,6%; el maltrato físico se incrementó durante el ciclo de estudio clínico-quirúrgico (p=0,001). Los médicos docentes y médicos residentes fueron los principales agresores. Estudiantes hombres reportaron con mayor frecuencia haber recibido tareas como castigo, no recibir los créditos por su trabajo, maltrato físico, amenazas verbales, insultos o recibir burlas con respecto a su etnia; mientras que el maltrato sexual fue mayor en mujeres. El reporte de maltrato sexual fue más frecuente en la universidad (45,3%, p=0,002) y el hospital (45,0%, p=0,046). Las mujeres reportaron con mayor frecuencia no saber a quién o dónde acudir para denunciar el maltrato (54,6%, p=0,042) y no denunciarlo porque se detuvo el maltrato (56,9%, p=0,048). Conclusiones. Existe una alta prevalencia de maltrato, donde las características de los estudiantes según el sexo, los ciclos de estudio y el agresor permiten identificar los tipos de maltrato que reciben los estudiantes de medicina.

Background There is a worrying lack of epidemiological data on the sex differential in COVID-19 infection and death rates between the regions of Peru. Methods Using cases and death data from the national population-based surveillance system of Peru, we estimated incidence, mortality and fatality, stratified by sex, age and geographic distribution (per 100,000 habitants) from March 16 to November 27, 2020. At the same time, we calculated the risk of COVID-19 death. Results During the study period, 961894 cases and 35913 deaths were reported in Peru. Men had a twofold higher risk of COVID-19 death within the overall population of Peru (odds ratio (OR), 2.11; confidence interval (CI) 95%; 2.06–2.16; p<0.00001), as well as 20 regions of Peru, compared to women (p<0.05). There were variations in incidence, mortality and fatality rates stratified by sex, age, and region. The incidence rate was higher among men than among women (3079 vs. 2819 per 100,000 habitants, respectively). The mortality rate was two times higher in males than in females (153 vs. 68 per 100,000 habitants, respectively). The mortality rates increased with age, and were high in men 60 years of age or older. The fatality rate was two times higher in men than in women (4.96% vs. 2.41%, respectively), and was high in men 50 years of age or older. Conclusions These findings show the higher incidence, mortality and fatality rates among men than among women from Peru. These rates vary widely by region, and men are at greater risk of COVID-19 death. In addition, the mortality and fatality rates increased with age, and were most predominant in men 50 years of age or older.

BackgroundIn this study, we estimated excess all-cause deaths and excess death rates during the COVID-19 pandemic in 25 Peruvian regions, stratified by sex and age group.DesignCross-sectional study.SettingTwenty-five Peruvian regions with complete mortality data.ParticipantsAnnual all-cause official mortality data set from SINADEF (Sistema Informático Nacional de Defunciones) at the Ministry of Health of Peru for 2017–2020, disaggregated by age and sex.Main outcome measuresExcess deaths and excess death rates (observed deaths vs expected deaths) in 2020 by sex and age (0–29, 30–39, 40–49, 50–59, 60–69, 70–79 and ≥80 years) were estimated using P-score. The ORs for excess mortality were summarised with a random-effects meta-analysis.ResultsIn the period between January and December 2020, we estimated an excess of 68 608 (117%) deaths in men and 34 742 (69%) deaths in women, corresponding to an excess death rate of 424 per 100 000 men and 211 per 100 000 women compared with the expected mortality rate. The number of excess deaths increased with age and was higher in men aged 60–69 years (217%) compared with women (121%). Men between the ages of 40 and 79 years experienced twice the rate of excess deaths compared with the expected rate. In eight regions, excess deaths were higher than 100% in men, and in seven regions excess deaths were higher than 70% in women. Men in eight regions and women in one region had two times increased odds of excess death than the expected mortality. There were differences in excess mortality according to temporal distribution by epidemiological week.ConclusionApproximately 100 000 excess all-cause deaths occurred in 2020 in Peru. Age-stratified excess death rates were higher in men than in women. There was strong excess in geographical and temporal mortality patterns according to region.

There is a worrying lack of epidemiological data on the sex differential in COVID-19 fatality rates. We examined the Global Health 50/50 tracks of sex-disaggregated infection and mortality COVID-19 data from 73 countries through May 20, 2021. We compared the infection fatality rate (IFR) in men vs. women and risk of death from COVID-19 by country. Of all cases in 73 countries, 42,933,757 were in women and 40,187,894 in men; 1,274,663 men and 971,899 women died. The IFR was higher in males (3.17%) than in women (2.26%). The IFR in males vs. females varied from country to country, and it was higher in men in Brazil, Yemen,

The aim of the study was to explore the patterns of dental health services access in children under twelve years of age in Peru. Data from 25,285 children under 12 years who participated in the Demographic and Family Health Survey of 2014 were reviewed. An exploratory spatial analysis was performed to project the proportions of children with access to dental health services, according to national regions, type of health service and urban or rural place of residence. The results show that of the total sample, 26.7% had access to dental health services in the last six months, 39.6% belonged to the age group 0-4 years, 40.6% lived in the Andean region and 58.3% lived in urban areas. The regions of Huancavelica, Apurimac, Ayacucho, Lima and Pasco had the highest percentages of access nationwide. In conclusion, there is low access to dental health services in the population under 12 years of age in Peru. The spatial distribution of access to dental health services allows regions to be identified and grouped according to similar access patterns, in order to better focus public health actions.