Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Language
Document Type
Year range
1.
Frontiers in psychology ; 13, 2022.
Article in English | EuropePMC | ID: covidwho-2156994

ABSTRACT

Positive youth development (PYD) allows the youth to be comprehended from their potential, strengths and assets, in contrast to the traditional deficit view that focuses on their weaknesses. The PYD model promotes constructive behaviours in youth by highlighting the positive attributes usually found during the transition from childhood to adulthood to achieve healthy and optimal development in later life. Overall, PYD comprises five key competence (5C), the flourishing models and forty developmental assets. In the present study, a structural equation model is tested with the Chilean dataset of the PYD project on the premise that Positive Identity is the core internal developmental asset explaining Psychological wellbeing and that Confidence and Character are mediators of the relationship between Positive Identity and Psychological Wellbeing. The sample comprised 261 participants (nWomen = 189, nMen = 72), MeanAge = 22 years old, who were approached by an online survey uploaded to Qualtrics. The measures of the study included: The Developmental assets Scale, the Short-form of the Five Cs included in the PYD and the Mental Health Continuum Short-Form. The results indicated a good model fit (β = 1.74, Ztotal = 10.63, χ2 = 424.95, df = 277, χ2/df = 1.53, p < 0.001, Robust CFI = 0.945, Robust RMSEA = 0.049, 90% CI (0.040, 0.058), AIC = 17689.91, saBIC = 17719.08 and SRMR = 0.061), highlighting the relevance of studying Latin-American adolescents and young ‘s wellbeing in times of COVID-19, as the participants' Positive Identity significantly predicted their Psychological Wellbeing, and simultaneously, this relationship was mediated by both their level of Confidence and Character.

2.
PLoS One ; 15(12): e0244171, 2020.
Article in English | MEDLINE | ID: covidwho-999833

ABSTRACT

INTRODUCTION: Peru is among the top ten countries with the highest number of coronavirus disease 2019 (COVID-19) cases worldwide. The aim of the study was to describe the clinical features of hospitalized adult patients with COVID-19 and to determine the prognostic factors associated with in-hospital mortality. METHODS: We conducted a retrospective cohort study among adult patients with COVID-19 admitted to Hospital Cayetano Heredia; a tertiary care hospital in Lima, Peru. The primary outcome was in-hospital mortality. Multivariate Cox proportional hazards regression was used to identify factors independently associated with in-hospital mortality. RESULTS: A total of 369 patients (median age 59 years [IQR:49-68]; 241 (65.31%) male) were included. Most patients (68.56%) reported at least one comorbidity; more frequently: obesity (42.55%), diabetes mellitus (21.95%), and hypertension (21.68%). The median duration of symptoms prior to hospital admission was 7 days (IQR: 5-10). Reported in-hospital mortality was 49.59%. By multiple Cox regression, oxygen saturation (SaO2) values of less than 90% on admission correlated with mortality, presenting 1.86 (95%CI: 1.02-3.39), 4.44 (95%CI: 2.46-8.02) and 7.74 (95%CI: 4.54-13.19) times greater risk of death for SaO2 of 89-85%, 84-80% and <80%, respectively, when compared to patients with SaO2 >90%. Additionally, age >60 years was associated with 1.88 times greater mortality. CONCLUSIONS: Oxygen saturation below 90% on admission is a strong predictor of in-hospital mortality in patients with COVID-19. In settings with limited resources, efforts to reduce mortality in COVID-19 should focus on early identification of hypoxemia and timely access to hospital care.


Subject(s)
COVID-19/metabolism , COVID-19/mortality , Oxygen/metabolism , Adult , Aged , Comorbidity , Diabetes Mellitus/metabolism , Diabetes Mellitus/mortality , Female , Hospital Mortality , Hospitalization , Hospitals, Public/methods , Humans , Hypertension/metabolism , Hypertension/mortality , Male , Middle Aged , Obesity/metabolism , Obesity/mortality , Peru , Retrospective Studies , Risk Factors , SARS-CoV-2/pathogenicity
SELECTION OF CITATIONS
SEARCH DETAIL