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      Análisis del síndrome post-COVID-19 en personal de salud: comparación sobre condiciones de género y trabajo Translated title: Analysis of long COVID in health personnel: comparing gender and work factors

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          Abstract

          Resumen Introducción : El objetivo del estudio fue describir la prevalencia del reporte de síndrome post-COVID-19 y sus características según género, profesión y otros de terminantes sociales, en personal de salud. Métodos : Se realizó un estudio de corte transver sal en profesionales de salud con antecedentes de COVID-19 en América Latina, y para este análisis se seleccionaron las 2030 respuestas de Argentina. Se recolectaron datos sociodemográficos, información sobre el curso inicial de la enfermedad COVID-19, y persistencia de 21 síntomas más allá del primer mes, su gravedad, evolución clínica y requerimiento de ser vicios de salud. Resultados : Se identificó que la prevalencia re portada de síndrome post-COVID-19 fue mayor en mujeres para cada uno de los grupos de síntomas explorados. La gravedad del cuadro inicial, el género femenino, la profesión de enfermería, el multiempleo y trabajar en áreas de emergencia fueron variables independientes. Discusión : La mayor sobrecarga del personal de sa lud durante la pandemia -altamente feminizado- y las determinaciones de género asociadas podrían explicar parcialmente estos hallazgos.

          Translated abstract

          Abstract Introduction : This study aimed to describe the re ported prevalence of post-COVID-19 syndrome and its characteristics by gender, profession, and other deter minants among health care workers. Methods : A cross-sectional study was conducted among health workers with a history of COVID-19 in Latin America, and the 2030 responses from Argentina were selected for this analysis. Sociodemographic infor mation, as well as data on initial course of COVID-19, and the persistence of 21 symptoms beyond the first month, their severity, clinical evolution, and health care demands were collected. Results : The reported prevalence of post-COVID-19 syndrome was higher in women for each of the symptom clusters studied. Severity of the initial symptoms, female gender, nursing profession, multi-employment, and work ing in emergency areas were all independent variables. Discussion : The greater strain of health care workers during the pandemic -highly feminized- and the as sociated gender conditions may partially explain these findings.

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          Most cited references63

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          Persistent Symptoms in Patients After Acute COVID-19

          This case series describes COVID-19 symptoms persisting a mean of 60 days after onset among Italian patients previously discharged from COVID-19 hospitalization.
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            Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis

            Highlights • At least one in five healthcare professionals report symptoms of depression and anxiety. • Almost four in 10 healthcare workers experience sleeping difficulties and/or insomnia. • Rates of anxiety and depression were higher for female healthcare workers and nursing staff. • Milder mood symptoms are common and screening should aim to identify mild and sub-threshold syndromes.
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              Attributes and predictors of long COVID

              Reports of long-lasting coronavirus disease 2019 (COVID-19) symptoms, the so-called 'long COVID', are rising but little is known about prevalence, risk factors or whether it is possible to predict a protracted course early in the disease. We analyzed data from 4,182 incident cases of COVID-19 in which individuals self-reported their symptoms prospectively in the COVID Symptom Study app1. A total of 558 (13.3%) participants reported symptoms lasting ≥28 days, 189 (4.5%) for ≥8 weeks and 95 (2.3%) for ≥12 weeks. Long COVID was characterized by symptoms of fatigue, headache, dyspnea and anosmia and was more likely with increasing age and body mass index and female sex. Experiencing more than five symptoms during the first week of illness was associated with long COVID (odds ratio = 3.53 (2.76-4.50)). A simple model to distinguish between short COVID and long COVID at 7 days (total sample size, n = 2,149) showed an area under the curve of the receiver operating characteristic curve of 76%, with replication in an independent sample of 2,472 individuals who were positive for severe acute respiratory syndrome coronavirus 2. This model could be used to identify individuals at risk of long COVID for trials of prevention or treatment and to plan education and rehabilitation services.
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                Author and article information

                Journal
                medba
                Medicina (Buenos Aires)
                Medicina (B. Aires)
                Fundación Revista Medicina (Ciudad Autónoma de Buenos Aires, , Argentina )
                0025-7680
                1669-9106
                August 2024
                : 84
                : 4
                : 605-618
                Affiliations
                [1] orgnameHospital de Alta Complejidad El Cruce Néstor Kirchner orgdiv1Servicio de Cardiología
                [2] orgnameCentro de Estudios de Estado y Sociedad (CEDES)
                [3] orgnameUniversidad de Buenos Aires orgdiv1Facultad de Ciencias Sociales Argentina
                [4] orgnameUniversidad de Buenos Aires orgdiv1Facultad de Psicología orgdiv2Cátedras Salud Pública/Salud Mental II e Introducción a los Estudios de Género Argentina
                [5] orgnameUniversidad Nacional Arturo Jauretche Argentina
                Article
                S0025-76802024000600605 S0025-7680(24)08400400605
                0e3563b4-8cee-4a16-bce0-cfc557b2ca35

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 03 January 2024
                : 07 February 2024
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 64, Pages: 14
                Product

                SciELO Argentina

                Categories
                Artículos originales

                Gender and health,Síndrome post-COVID,Personal de salud,Género y salud,Post-acute COVID-19 syndrome,Health-care workers

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