Due to a high prevalence of chronic non-degenerative diseases, it is suspected that COVID 19 poses a high risk of fatal complications for the Mexican population. The present study aims to estimate the risk factors for hospitalization and death in the Mexican population infected by SARS-CoV-2. We used the publicly available data released by the Epidemiological Surveillance System for Viral Respiratory Diseases of the Mexican Ministry of Health (Secretaría de Salud, SSA). All records of positive SARS-CoV-2 cases were included. Two multiple logistic regression models were fitted to estimate the association between hospitalization and mortality, with other covariables. Data on 10,544 individuals (57.68% men), with mean age 46.47±15.62, were analyzed. Men were about 1.54 times more likely to be hospitalized than women (p<0.001, 95% C.I. 1.37–1.74); individuals aged 50–74 and ≥74 were more likely to be hospitalized than people aged 25–49 (OR 2.05, p<0.001, 95% C.I. 1.81–2.32, and OR 3.84, p<0.001, 95% C.I. 2.90–5.15, respectively). People with hypertension, obesity, and diabetes were more likely to be hospitalized than people without these comorbidities (p<0.01). Men had more risk of death in comparison to women (OR = 1.53, p<0.001, 95% C.I. 1.30–1.81) and individuals aged 50–74 and ≥75 were more likely to die than people aged 25–49 (OR 1.96, p<0.001, 95% C.I. 1.63–2.34, and OR 3.74, p<0.001, 95% C.I. 2.80–4.98, respectively). Hypertension, obesity, and diabetes presented in combination conveyed a higher risk of dying in comparison to not having these diseases (OR = 2.10; p<0.001, 95% C.I. 1.50–2.93). Hospitalization, intubation and pneumonia entail a higher risk of dying (OR 5.02, p<0.001, 95% C.I. 3.88–6.50; OR 4.27, p<0.001, 95% C.I. 3.26–5.59, and OR = 2.57; p<0.001, 95% C.I. 2.11–3.13, respectively). Our study’s main limitation is the lack of information on mild (asymptomatic) or moderate cases of COVID-19. The present study points out that in Mexico, where an important proportion of the population has two or more chronic conditions simultaneously, a high mortality rate is a serious risk for those infected by SARS-CoV-2.

Background: At present, the Americas report the largest number of cases of COVID-19 worldwide. In this region, Mexico is the third country with most deaths (20,781 total deaths). A sum that may be explained by the high proportion of people over 50 and the high rate of chronic diseases. The aim of this analysis is to investigate the risk factors associated with COVID-19 deaths in Mexican population using survival analysis. Methods: Our analysis includes all confirmed COVID-19 cases contained in the dataset published by the Epidemiological Surveillance System for Viral Respiratory Diseases of the Mexican Ministry of Health. We applied survival analysis to investigate the impact of COVID-19 on the Mexican population. From this analysis, we plotted Kaplan-Meier curves, and constructed a Cox proportional hazard model. Results: The analysis included the register of 16,752 confirmed cases of COVID-19 with mean age 46.55 ± 15.55 years; 58.02% (n = 9719) men, and 9.37% (n = 1569) deaths. Male sex, older age, chronic kidney disease, pneumonia, hospitalization, intensive care unit admission, intubation, and health care in public health services, were independent factors increasing the risk of death due to COVID-19 (p < 0.001). Conclusions: The risk of dying at any time during follow-up was clearly higher for men, individuals in older age groups, people with chronic kidney disease, and people hospitalized in public health services.

To present the results of the application of the short format 36 instrument (SF-36) in the Mexican states of Sonora and Oaxaca. The levels of quality of life were compared with those from Canada and the United States. The data were obtained using a survey on health service access, usage, and quality. The SF-36 is composed of 36 questions, which represent eight different domains on the health-related quality of life. These domains are used to estimate the physical and mental components of health. Data analysis was performed to calculate the average scores for each domain for the total sample, by gender and age groups in each state. The regional differences were assessed by the difference of means. The total response was 98.5% of the 4200 selected households. The percent response values were similar between the two states. A total of 5961 subjects older than 25 years of age completed the questionnaire. Males scored higher than females in all domains and in both components. Regardless of sex, the highest variation was observed in adults up to 64 years of age mainly in three domains: overall health, social function, and mental health; in the 65-74 year age group occurred mostly in social function and mental health; and in adults older than 75 year only in mental health. The young adult age group (25 to 44 years) showed variation in a greater number of domains, while women exhibited more variation in the "extreme" age groups, 25 to 34 years and 75 years and older. The mean scores in our sample were higher than those found in Canada and the United States in five domains and in the two summary components. Canada showed higher scores in the other three domains (overall health, social function, and mental health). SF-36 data are not available at the national level; hence, the authors recommend that their study results may serve as the normative reference for SF-36 in Mexico. Researchers using the SF-36 could compare their results with our reference, adjusted by gender and age in population-based studies. Considering that the study regions have contrasting social and economic characteristics, the data from the more developed state, Sonora, may be used as the normative standard. Data from Oaxaca would be used as the reference for less-developed states. The English version of this paper is available at: http://www.insp.mx/salud/index.html.

Quality of life (QOL) is a key aspect of the health care process for children with chronic diseases and their families. Although clinical evidence regarding the impact of chronic disease on children exists, few studies have evaluated the effects of the interaction between sociodemographic and psychosocial factors on the family caregiver’s QOL, indicating a significant gap in the research literature. The present study aimed to identify the predictors of the QOL of parents of children with chronic diseases. Three parental sociodemographic predictors (age, schooling, and family income) and four psychosocial predictors (family functioning, social support, depression, and resilience) were examined. In this cross-sectional study, 416 parents of children with chronic diseases who were hospitalized at a National Institute of Health in Mexico City were interviewed. The participants completed a sociodemographic variables questionnaire (Q-SV) designed for research on family caregivers of children with chronic disease. The predicted variable was assessed through the World Health Organization Quality of Life Questionnaire. The four psychosocial predictors were assessed through the Family Functioning Scale, Social Support Networks Scale, Beck Depression Inventory, and Measurement Scale of Resilience. The regression model explained 42% of the variance in parents’ QOL. The predictors with positive weights included age, schooling, monthly family income, family functioning, social support networks, and parental resilience. The predictors with negative weights included depression. These findings suggest that strong social relationships, a positive family environment, family cohesion, personal resilience, low levels of depression, and a family income twice the minimum wage are variables associated with better parental QOL.

Mexico is one of the countries most affected by the COVID-19 disease. Although there is vast information on the disease, there still are unknown data on the societal and economic cost of the pandemic. To estimate this impact, the disability-adjusted life years (DALYs) can be a useful tool.Objective: To assess the DALYs due to COVID-19 in Mexico.Methods: We used the data released by the Mexican Ministry of Health to estimate the DALYs by the sum of the years of life lived with disability (YLDs) and the years of life lost (YLLs).Results: A total of 1,152,885 confirmed cases and 324,570 suspected cases of COVID-19 have been registered. Half of the cases were men, with a median age of 43.4 ± 16.9 years. About 8.3% died. A total of 39,202 YLDs were attributable to COVID-19. The total YLLs caused by COVID-19 were 2,126,222. A total of 2,165,424.5 DALYs for COVID-19 were estimated. The total DALYs were the highest in people between 50 and 59 years. The DALYs for each COVID-19 case were the highest in individuals between 60 and 79 years.Conclusion: The DALYs generated by the COVID-19 represent a more significant disease burden than that reported for other causes, such as the 2009 H1N1 influenza pandemic. Although it impacts all age groups in terms of disability, the most affected group are people over 50 years of age, whose risk of death is higher.