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Introduction: Beliefs and practices related to healthy lifestyles and religiosity can play an important role in overall well-being. However, few studies have explored the association between these factors and life satisfaction in the university context. This study examined the association between sociodemographic aspects, lifestyle beliefs, and religiosity with life satisfaction in university students., Methods: A cross-sectional predictive study was conducted during the months of March and May 2024 at a private university located in the northern region of Peru. Validated instruments were distributed that included a lifestyle beliefs scale, the Santa Clara Strength of Religious Faith Questionnaire-Short Form (SCSRFQ-SF), the Satisfaction with Life Scale (SWLS) and a sociodemographic data section. A total of 1,258 students participated in the study. Multiple linear regression models were used for predictive analysis., Results: Being a student of foreign origin, compared to being Peruvian, is negatively and significantly associated with life satisfaction ( β  = -0.066, p  = 0.003). In contrast, a positive association is observed between belonging to the Faculty of Health Sciences ( β  = 0.119, p  = 0.048) and life satisfaction, compared to students from other faculties. Furthermore, lifestyle beliefs ( β  = 0.579; p  < 0.001) and religiosity ( β  = 0.182; p  < 0.001) are positively and significantly associated with life satisfaction., Conclusion: These findings suggest that universities and health professionals should consider promoting healthy lifestyles and supporting religious practices as important strategies to improve student life satisfaction, considering relevant sociodemographic aspects., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Saintila, Javier-Aliaga, Valle-Chafloque, Casas-Gálvez, Barreto-Espinoza and Calizaya-Milla.)

Background: The link between physical and mental health and screen time in adolescents has been the subject of scientific scrutiny in recent years. However, there are few studies that have evaluated the association between social network addiction (SNA) and metabolic risk in this population., Objective: This study determined the association between SNA and anxiety symptoms with the risk of metabolic syndrome (MetS) in adolescents., Methods: A cross-sectional study was conducted in Peruvian adolescents aged 12 to 18 years, who completed a Social Network Addiction Questionnaire and the Generalized Anxiety Disorder 2-item scale (GAD-2), between September and November 2022. A total of 903 participants were included in the study using a non-probability convenience sample. Sociodemographic and anthropometric data were also collected. Binary logistic regression was used to explore the association between SNA and anxiety symptoms with MetS in a cross-sectional analysis., Results: Males were more likely to have MetS than females (OR = 1.133, p = 0.028). Participants who were 16 years of age or older and those with excess body weight were 2.166, p = 0.013 and 19.414, p < 0.001 times more likely to have MetS, respectively. Additionally, SNA (OR = 1.517, p = 0.016) and the presence of anxiety symptoms (OR = 2.596, p < 0.001) were associated with MetS., Conclusion: Our findings suggest associations between SNA, anxiety symptoms, and MetS among youth. However, more studies are needed to better understand this association and to deepen the possible clinical and public health implications., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Saintila, Oblitas-Guerrero, Larrain-Tavara, Lizarraga-De-Maguiña, Bernal-Corrales, López-López, Calizaya-Milla, Serpa-Barrientos and Ramos-Vera.)

Background: Short sleep duration in healthcare professionals is a recurring concern among researchers. On the other hand, the prevalence of burnout in this population group is experiencing exponential growth. Therefore, this study aimed to explore the association between sleep duration and burnout in healthcare professionals., Methods: This is a cross-sectional study. Data were collected by applying a non-probabilistic convenience sampling, considering a sample of 300 healthcare professionals from the public sector in Peru. The association between variables was explored using multivariate logistic regression. Values of p < 0.05 were considered statistically significant., Results: The results of the analysis in the crude models revealed that both men and women who slept < 7 h during workdays and days off were 8.33 (95% CI = 2.68-13.99, p = 0.004) and 17.18 (95% CI = 10.50-23.87, p < 0.001) times more likely to have burnout compared to those who reported ≥7 h, respectively. After adjusting for confounding variables, the association remained statistically significant., Conclusion: The findings of this study underscore the critical importance of sleep duration in the incidence of burnout among healthcare professionals. In the context of the global challenges to the mental and physical health of these professionals, our results highlight the urgent need to implement strategies at the organizational and individual level. This includes promoting a better work-life balance, and effective stress management and improved sleep quality., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Saintila, Soriano-Moreno, Ramos-Vera, Oblitas-Guerrero and Calizaya-Milla.)

Background: People with cognitive impairment may be exposed to an increased risk of comorbidities; however, the clustering of comorbidity patterns in these patients is unclear., Objective: To explore the network structure of chronic comorbidity in a U.S. national sample spanning all 50 U.S. states with more than 170,000 participants reporting perceived cognitive impairment., Methods: This is a cross-sectional study conducted using Behavioral Risk Factor Surveillance System (BRFSS) secondary data collected in 2019 and covering 49 U.S. states, the District of Columbia, Guam, and the Commonwealth of Puerto Rico. A total of 15,621 non-institutionalized U.S. adult participants who reported "yes" to the subjective cognitive impairment question were considered, of whom 7,045 were men and 8,576 were women. All participants were aged 45 years or older. A statistical graphical model was used that included clustering algorithms and factorization of variables in a multivariate network relationship system [exploratory graphical analysis (EGA)]., Results: The results of the EGA show associations between the comorbid conditions evaluated. These associations favored the clustering of various comorbidity patterns. In fact, three patterns of comorbidities have been identified: (1) arthritis, asthma, respiratory diseases, and depression, (2) obesity, diabetes, blood pressure high, and blood cholesterol high, and (3) heart attack, coronary heart disease, stroke, and kidney disease., Conclusion: These results suggest the development of interdisciplinary treatment strategies in patients with perceived cognitive impairment, which could help to design an integrated prevention and management of the disease and other related health problems, such as Alzheimer's disease and related dementias., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Ramos-Vera, Saintila, O'Diana and Calizaya-Milla.)