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Background: Physical inactivity is a highly prevalent condition in the world and has been associated with increased susceptibility to develop comorbidities and present with severe respiratory distress syndrome due to COVID-19., Objective: To identify the factors present in the family environment and the personal reasons associated with physical inactivity in young people during confinement at home due to COVID-19., Material and Methods: A cross-sectional study analyzed data from 1,326 young people, ages 15 - 18. To collect information, a questionnaire was constructed using the Google Forms tool and distributed through the WhatsApp application and email to collect the information., Results: The prevalence of physical inactivity was 43.4%. Approximately 24.4% were overweight, and 8.8% were obese. Near 43.0% of young people reported living in an environment with a dysfunctional family. The multivariate logistic regression analysis showed that suffering from obesity, does not have space at home, or devices to exercise and present a change in emotions, are related to the physical inactivity of young people during confinement at home due to the COVID-19 pandemic., Conclusions: It is important to promote a harmonious environment within the family and the personal development of a healthy lifestyle, during the period of application of the contingency plan due to the presence of a pandemic, in order to maintain a better healthy physical and mental state., (© 2022 Revista Médica del Instituto Mexicano del Seguro Social.)

Objective: To determine the prevalence and risk factors associated with tobacco use during the period of confinement in light of the COVID-19 pandemic., Methods: Through an analytical and cross-sectional study, the data of 2, 372 participants were analyzed. The information was collected through a self-administered questionnaire that was built with the Google Forms tool, which was distributed and applied via email and WhatsApp; the private messaging platform. The relationship between the independent variables and the outcome was determined by multivariate logistic regression analysis., Results: Out of the total population, 69.3 % were women, the median age was 20.11±2.01 years, the prevalence of asthma was 12.2 %, and the active tobacco use was 13.3 %. There was a higher number of patients with asthma who smoked (14.2 vs. 13.2 %) than of those who didn't have asthma. The multivariate logistic regression analysis showed that factors like considering that COVID-19 does not exist and not being confined were related to tobacco use in patients with asthma during the implementation of the contingency plan that the COVID-19 pandemic represents., Conclusions: During confinement to home for COVID-19, the prevalence of tobacco use is higher in patients with asthma than in individuals without this ailment; the factors that favor the aforementioned are present in the family environment.

Background: The association between asthma and pregnancy has been documented previously. The relationship between unplanned pregnancy and onset asthma in adolescence has not been studied., Objective: To determine the association between unplanned pregnancy and adolescence onset asthma., Material and Methods: A cross-sectional study was done gathering information about asthma, unplanned pregnancy, family atopy and active or passive smoking in 3,130 adolescents aged 13-19 years. Asthma diagnosis was established through a selfquestionnaire based on the International Study of Asthma and Allergy in Childhood. Odds ratios for asthma were determined using logistic regression model and chi-squared test., Results: Mean age of the participants was 16.37 ± 1.93 years. The prevalence of active smoking was 16.1%, of passive smoking 40% and of family atopy 9.8%. From the pregnant adolescents (785), 59.5% reported had planned not to have a child before pregnancy. Prevalence of wheezing during the year prior to the study was 9.3% and of wheezing during the pregnancy 2%. The prevalence of adolescence onset asthma was 5.4%. The age of initiation of asthma in the adolescence was 14.75 ± 1.60 years. The analysis showed that unplanned pregnancy has a slight risk for the development of asthma during adolescence. (Crude OR=1.03; CI 95% 1.02-1.05; p=0.000)., Conclusion: Unplanned pregnancy, family atopy, active smoking and smoking friends are associated with the onset-asthma in the adolescence.

Introduction: The association between some factors of the familial and social environment with smoking in non-student adolescents with asthma has not been explored. The aim of the study was to determine the association between family structure, educational level, parental approval of smoking, parents who smoke, and smoking friends with smoking in non-student adolescents with asthma., Subjects and Methods: In a cross-sectional study, data were obtained by means of a structured questionnaire applied to 4,778 non-student adolescents aged 13-18 years. Diagnosis of asthma was performed using a questionnaire based on the International Study of Asthma and Allergy in Childhood questionnaire. The smoking habit was determined by application of a self-administered questionnaire. Odds ratios (OR) were determined for smoking using logistic regression., Results: From the total sample, asthma prevalence was 6.6% and of active smoking, 34.2%. Age at initiation of asthma symptoms was 5.15±3.52 years, and that of active smoking was 13.65±2.07 years. Percentage of non-intact family (40.1 vs. 32.7%) was greater in the group of adolescents with asthma. Logistic regression models show that parental approval of smoking (adjusted OR=5.57; 95% confidence interval=2.48-12.51) and smoking friends (adjusted OR=2.92; 95% confidence interval=1.04-8.19) are associated with smoking in non-student adolescents with asthma., Conclusion: In this study, parental approval of smoking and having friends who smoke appear to be associated with smoking among non-student adolescents with asthma., (Copyright © 2011 SEPAR. Published by Elsevier Espana. All rights reserved.)

Objective: The relationships between asthma in adolescents and various environmental and social exposures needs to be clarified. The aim of this study was to determine the association between family history of allergy, passive or active tobacco smoking, obesity, and asthma in adolescents., Subjects and Methods: A population-based case-control study was carried out. A random sample of 4003 students aged 13 to 18 years old was selected from secondary and preparatory schools in an urban area in northeastern Mexico. Data was gathered in physical examinations and with a questionnaire administered by trained staff. Two study groups were formed: a group of 253 adolescents with asthma and a control group of students without asthma., Results: Variables associated with asthma were family history of allergy (odds ratio [OR], 1.62; 95% confidence interval [CI], 1.28-2.06), passive smoking (OR, 1.53; 95% CI, 1.18-1.99), and obesity (OR, 1.96; 95% CI, 1.45-2.65). Female gender and active smoking were unrelated to asthma. The percentage of obese adolescents was higher in the group of asthmatics (18.2%) than in the control group (12.8%)., Conclusions: Family history of allergy, passive tobacco smoking, and obesity seem to be the main risk factors for the development of asthma in adolescents. The relationship of active smoking and asthma requires further study.