Chavez Sosa, Jannett Virginia
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Chavez Sosa, Jannett Virginia
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Chavez Sosa, Jannett Virginia
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Chavez Sosa Janett Virginia
Chávez-Sosa, Janett V.
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Universidad Peruana Unión
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21 resultados
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Item type:Publicación, Lifestyles associated with adherence to treatment in hypertensive patients(Venezuelan Society of Pharmacology and Clinical and Therapeutic Pharmacology, 2021); ; Introducción: Para el adecuado control de la hipertensión arterial es necesario que los pacientes se adhieran a las recomendaciones sobre el cumplimiento del tratamiento antihipertensivo y la modificación de sus estilos de vida. Objetivo: Determinar la asociación entre el estilo de vida y la adherencia al tratamiento en pacientes hipertensos. Metodología: Estudio analítico transversal, conformado por 250 pacientes hipertensos, 150 pertenecientes al Centro de Salud La Era-Lima, Perú y 100 al Programa de “Salud Cardiovascular” de San Miguel-Arica, Chile, elegidos mediante muestreo no probabilístico y por conveniencia. Para la recolección de datos se empleó el cuestionario de Perfil de Estilo de Vida (PEPS-I) y la escala de Morisky-Green previamente validados. Para el análisis multivariado se utilizó la regresión de varianza robusta de Poisson. Resultados: El 58,8% de los pacientes hipertensos practicaron un inadecuado estilo de vida y el 58,4% no fueron adherentes al tratamiento. Al análisis multivariado, una adecuada práctica de los estilos de vida en las dimensiones: nutrición (RPa=1,56; IC 95%=1,14-2,14), relaciones interpersonales (RPa=1,58; IC 95%=1,05-2,36) y responsabilidad en salud (RPa=1,54; IC 95%=1,02-2,30) se asocian a la adherencia al tratamiento antihipertensivo. Conclusiones: Tener una nutrición, relaciones interpersonales y responsabilidad con la salud adecuadas se asocian a la adherencia al tratamiento antihipertensivo.metric-badges.view 4 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Anxiety and Depression Associated With the Dependent Use of Generative AI in Medical Students: Cross-Sectional Study(2026-05-05); Background: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns about potential mental health risks. Medical students represent a particularly vulnerable group due to high academic stress and increasing reliance on generative AI tools for study and decision-making tasks. Despite this, the relationship between AI dependence and psychological distress remains underexplored in Latin American contexts. Objective: This study aimed to evaluate the association between generative AI dependence and levels of stress, anxiety, and depression among medical students. Methods: A cross-sectional study was conducted with 187 human medicine students from a Peruvian university during the first academic semester of 2025. The Dependence on Artificial Intelligence Scale and the Depression, Anxiety, and Stress Scale-21 were applied. Negative binomial regression models, both crude and adjusted for sex, age, income, and year of study, were used to assess associations, reporting rate ratios (RRs) and 95% CIs. Results: Participants had a median age of 22 (IQR 19-24) years, and 58.8% (110/187) were female. The median Dependence on Artificial Intelligence Scale score was 10 (IQR 7-14). Generative AI dependence showed significant correlations with anxiety (ρ=0.336, 95% CI 0.22-0.44) and depression (ρ=0.316, 95% CI 0.20-0.43) and a smaller correlation with stress (ρ=0.277, 95% CI 0.16-0.39). In the adjusted regression models, each 1-point increase in generative AI dependence was associated with a 5% higher expected anxiety score (RR 1.05, 95% CI 1.01-1.09; P=.01) and a 4% higher depression score (RR 1.04, 95% CI 1.01-1.08; P=.03), whereas the association with stress was positive but nonsignificant (RR 1.03, 95% CI 1.00-1.07; P=.08). Fifth-year students had significantly greater anxiety levels than their sixth-year peers (RR 1.82, 95% CI 1.09-3.01; P=.02). No significant effects were observed for sex, age, or income. Conclusions: This study empirically examined generative AI dependence as a distinct behavioral construct and its association with mental health symptoms in medical students. Unlike prior research, this study evaluated psychological dependence on generative AI and modeled its relationship with anxiety and depression using appropriate count-based regression techniques. By providing early evidence from a Latin American context, it contributes to the emerging field of digital mental health and medical education research. These findings underscore the need for universities to promote balanced and responsible AI use, integrate digital literacy with mental health support strategies, and develop preventive policies that mitigate potential maladaptive reliance on generative AI tools.Citas (OpenAlex): 7metric-badges.view 12 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Factores psicosociales y rendimiento laboral en colaboradores de una institución educativa privada, Lima, 2021(2023-09-01); ; Citas (OpenAlex): 4metric-badges.view 2 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Association Between Family Support and Coping Strategies of People With Covid-19: A Cross-Sectional Study(2023-07-01); ; Purpose: The study aimed to determine the association between family support and coping strategies of people diagnosed with COVID-19. Methods: The study was analytical and cross-sectional. The sample consisted of 500 participants who were selected by non-probabilistic and snowball sampling and included residents of both sexes who belonged to the city of Lima, with a diagnosis of COVID-19, who lived with relatives, and who accepted to participate in the research. For data collection, the scales "family support" and "Coping and Adaptation Process-Coping Adaptation Processing Scale (CAPS)" were used. The technique used was the survey through the home visit and the questionnaire instrument. To measure the relationship of the study variables, binary logistic regression was chosen, considering coping strategies as the dependent variable and socio-demographic data and family support as independent variables. Results: Of the 500 participants, 50.4% were women, and 49.6% were men. The results revealed that most participants presented a high capacity for coping strategies and high perceived family support (97.2% and 81%, respectively). In the bivariate analysis, socio-demographic aspects and family support and their dimensions were related to high or low capacity for coping strategies. Significant differences were verified between marital status (p=0.026), having children (p=0.037), family support (p=0.000), and its dimensions with coping strategies. Finally, the multivariate analysis found that people with COVID-19 who perceived high family support were 33.74 times (95% CI: 7266-156,739) more likely to have a high capacity for coping strategies. Conclusion: Therefore, it is necessary to promote the development of parental and family support skills in the face of the health emergency caused by COVID-19.Citas (OpenAlex): 7metric-badges.view 5 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Preventive Measures and Concern for COVID-19 Infection Associated with Lifestyle Changes in the Peruvian Population(2022-01-01); Citas (OpenAlex): 0metric-badges.view 6 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Concern About Returning to Face-to-Face Classes After the Pandemic: Importance of Emotional Intelligence and Stress Coping Strategies in Health Science StudentsIntroduction: The COVID-19 pandemic has brought a new normality, a scenario where different circumstances trigger emotions such as concern about returning to face-to-face classes, to which higher education students adapt. The objective was to identify how emotional intelligence and coping with stress explain students' concern about returning to face-to-face classes post COVID-19. Methods: This was an explanatory and cross-sectional study. The sample by intention was 588 students from the Faculty of Health Sciences. The Rotterdam Emotional Intelligence Scale (REIS), the Stress Coping Questionnaire (CAE), and the ACAD-COVID-19 scale were used. For data collection, the instruments were digitized. Bivariate analysis with Chi-square and multivariate logistic regression was performed. Results: The mean age of the participants was 19.72 years; most were single and without children (96.9% and 96.8%, respectively). 74.3% did not work, 80.8% were from the first years of study, and 52.7% belonged to nursing school. About 94.2% of participants indicated having adequate emotional intelligence, 91.3% expressed coping with adequate stress, and 67.2% indicated serious concern about returning to face-to-face classes. An association was found between gender (p=0.042), age (p=0.002), year of study (p=0.027), emotional intelligence (p=0.001), and coping with stress (p=0.001) with concern for return to face-to-face classes. Emotional intelligence identified as adequate (OR: 2.580; IC95%: 1.117-5.960) and coping with stress identified as adequate (OR: 2.008; IC95%: 1.018-3.960) are more likely to express serious concern about the return to face-to-face classes after the COVID-19 pandemic. Conclusion: According to the results, the need to safeguard the psychological aspects of students is highlighted, especially emotional intelligence, as well as to improve coping with stress so that they can better manage concerns about returning to face-to-face classes. The educational authorities should implement strategies to improve these aspects in order to ensure the adequate return to face-to-face classes in new scenarios.Citas (OpenAlex): 15metric-badges.view 3 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Home visits and the perception of health status among residents in Peru, 2024(Universidad de Santander, 2025-01-01)Citas (OpenAlex): 0metric-badges.view 12 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Preventive measures and concern for SARS-CoV-2 infection associated with lifestyle changes in the Peruvian population(2023-06-01); Citas (OpenAlex): 0metric-badges.view 3 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Factors associated with quality of life for people in a rural area of Peru: importance of family health and socioeconomic aspects(2025-10-20); ; INTRODUCTION: Considering socioeconomic aspects, this study aimed to analyze the relationship between quality of life and family health in residents of a rural area of Peru. METHODS: In a cross-sectional design study, the sample comprised 288 residents chosen through simple random probabilistic sampling. It included male and female Peruvian residents aged 18 years or more who lived with their families and agreed to participate in the study. The SALUFAM (family health) scale and the Quality of Life Index are used for data collection. RESULTS: The results revealed that residents with basic education (adjusted odds ratio (aOR): 2.44, 95%CI: 1.33-4.49, p=0.004) who did not have a job (aOR: 1.66, 95%CI: 1.23-2.23, p=0.001) and who received an income less than the minimum wage (aOR: 1.45, 95%CI: 1.03-2.03, p=0.03) presented a greater probability of perceiving inadequate quality of life. Furthermore, residents with more vulnerable family health (aOR: 1.79, 95%CI: 1.34-2.38, p=0.000) were more likely to perceive an inadequate of their quality of life than those in families with less vulnerability. CONCLUSION: Socioeconomic factors and vulnerability in family health are significantly associated with a worse quality of life in these rural communities.Citas (OpenAlex): 0metric-badges.view 2 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Depression Associated with Caregiver Quality of Life in Post-COVID-19 Patients in Two Regions of Peru(2022-06-29); ; Due to COVID-19, the workload experienced by caregivers has increased markedly which has led them to experience fatigue, anxiety and depression. This study aims to determine the relationship between quality of life and depression in caregivers of post-COVID-19 patients in two regions of Peru. In a cross-sectional analytical study, the sample was non-probabilistic and by snowball, and consisted of 730 caregivers, to whom the questionnaires "Modified Betty Ferell Quality of Life" and the "Beck Depression Inventory" were applied. It was determined that being a male caregiver (OR: 2.119; 95% CI: 1.332-3.369) was associated with a good quality of life. On the other hand, caregivers who had children (OR: 0.391; 95% CI: 0.227-0.675), were vaccinated against COVID-19 (OR: 0.432; 95% CI: 0.250-0.744), were immediate family members (OR: 0.298; 95% CI: 0.117-0.761) and had high depression (OR: 0.189; 95% CI: 0.073-0.490) were associated with poor quality of life. The results of this study allow us to conclude the association between depression and poor quality of life in caregivers of these patients so it is necessary to monitor the mental health of caregivers, and to develop adaptation strategies to pandemic conditions.Citas (OpenAlex): 14metric-badges.view 4
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