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  <title>DSpace Colección :</title>
  <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/21073" />
  <subtitle />
  <id>https://repositorio.uca.edu.ar/handle/123456789/21073</id>
  <updated>2026-05-04T23:11:01Z</updated>
  <dc:date>2026-05-04T23:11:01Z</dc:date>
  <entry>
    <title>The unintended consequences of COVID-19 pandemic in Argentina: the case of sleep disorders during lockdown</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/20357" />
    <author>
      <name>Incaurgarat, María Florencia</name>
    </author>
    <author>
      <name>Paternó Manavella, María Agustina</name>
    </author>
    <author>
      <name>Rodríguez Espínola, Solange</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/20357</id>
    <updated>2026-04-27T17:41:01Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Título: The unintended consequences of COVID-19 pandemic in Argentina: the case of sleep disorders during lockdown
Autor: Incaurgarat, María Florencia; Paternó Manavella, María Agustina; Rodríguez Espínola, Solange
Resumen: Objectives: This study aims to explore the unintended consequences of the COVID-19 lockdown in Argentina by assessing sleep disorders developed during quarantine and analyzing the interplay between gender and social gradients of health with sleep disorders. Methods: The study adopted a cross-sectional design by drawing data from the Argentinian Social Debt The study adopted a cross-sectional design by drawing data from the Argentinian Social Debt COVID-19 Survey (n=500) carried out in the Metropolitan Area of Buenos Aires in May 2020. COVID-19 survey (n=500) carried out in the Metropolitan Area of Buenos Aires in May 2020. Descriptive and correlational analyses were carried out using SPSS (version 25) to describe the occurrence of sleep disorders produced during quarantine. Results: The results show that during lockdown the local population presented a lower quality of sleep. Among the analysed groups, women and the youngest group were the most affected (p&lt;0.005). Furthermore, although the four socioeconomic groups examined in this study have all suffered sleep disorders during lockdown, the respondents with lower socioeconomic status are found to have been more affected than the others. Conclusions: The correlational analysis indicates that a lower socio-occupational stratum corresponds to a higher degree of changes in the circadian rhythm during the lockdown period. The main contribution of this study lies in illustrating, from a local perspective, one aspect of the unintended consequences of the COVID-19 pandemic and lockdowns on sleep health. Additionally, it serves to inform local health policies about the importance of considering human health as an integral process, without prioritizing the biological sphere over other aspects.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Impact of psychosocial determinants on sleep quality decreased during the COVID-19 lockdown: Evidence from an urban panel study</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/20237" />
    <author>
      <name>Abulafia, Carolina Andrea</name>
    </author>
    <author>
      <name>Paternó Manavella, María Agustina</name>
    </author>
    <author>
      <name>Rodríguez Espínola, Solange Sylvia</name>
    </author>
    <author>
      <name>Brangold, Mauro</name>
    </author>
    <author>
      <name>Simonelli, Guido</name>
    </author>
    <author>
      <name>Salvia, Agustín</name>
    </author>
    <author>
      <name>Vigo, Daniel Eduardo</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/20237</id>
    <updated>2026-04-22T14:32:36Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Impact of psychosocial determinants on sleep quality decreased during the COVID-19 lockdown: Evidence from an urban panel study
Autor: Abulafia, Carolina Andrea; Paternó Manavella, María Agustina; Rodríguez Espínola, Solange Sylvia; Brangold, Mauro; Simonelli, Guido; Salvia, Agustín; Vigo, Daniel Eduardo
Resumen: Objectives: To explore the relationship between socioeconomic and health-related changes during the&#xD;
COVID-19 lockdown and sleep quality.&#xD;
Methods: A panel study was conducted with 667 participants from the Argentine Social Debt Survey in 2019&#xD;
(pre lockdown), 2020 (during lockdown), and 2021 (post lockdown). Generalized linear mixed-effects&#xD;
models were performed to explore the following predictors of self-reported sleep quality over time: age,&#xD;
educational level, living in poverty, employment status, place of residence, psychological distress, and&#xD;
health status.&#xD;
Results: Reporting poor health and residing in Buenos Aires were associated with poor sleep quality, independent of the lockdown. Advanced age emerged as a significant predictor of poor sleep quality after the&#xD;
lockdown. Differences in sleep quality associated with living in poverty and psychological distress disappeared during lockdown and resumed post lockdown.&#xD;
Conclusions: This work highlights the importance of the dynamic interplay between socioeconomic and&#xD;
health-related factors when assessing sleep quality. In this urban Argentine panel study, the COVID-19&#xD;
lockdown appeared to mitigate poverty-related disparities in sleep quality, underscoring the need to refocus attention on these vulnerable subpopulations in the post-lockdown period, when such disparities reemerged.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>An ecological study on the correlation between sanitary vulnerability and air pollution with COVID-19 pandemic burden: What lessons can we learn?</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/19944" />
    <author>
      <name>Bullo, Manuela</name>
    </author>
    <author>
      <name>Lakkis, Susan Gabriela</name>
    </author>
    <author>
      <name>Enet, Alejandro</name>
    </author>
    <author>
      <name>Bonfiglio, Juan Ignacio</name>
    </author>
    <author>
      <name>Di Pasquale, Ricardo Héctor</name>
    </author>
    <author>
      <name>Represa, Sol</name>
    </author>
    <author>
      <name>Gonzalez, Luciana Marisol</name>
    </author>
    <author>
      <name>Gonzalez Aleman, Gabriela</name>
    </author>
    <author>
      <name>Lamas, María Cristina</name>
    </author>
    <author>
      <name>Salvia, Agustín</name>
    </author>
    <author>
      <name>Langsam, Martín</name>
    </author>
    <author>
      <name>Olego, Tomás</name>
    </author>
    <author>
      <name>Pérez Lloret, Santiago</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/19944</id>
    <updated>2026-04-22T14:32:57Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: An ecological study on the correlation between sanitary vulnerability and air pollution with COVID-19 pandemic burden: What lessons can we learn?
Autor: Bullo, Manuela; Lakkis, Susan Gabriela; Enet, Alejandro; Bonfiglio, Juan Ignacio; Di Pasquale, Ricardo Héctor; Represa, Sol; Gonzalez, Luciana Marisol; Gonzalez Aleman, Gabriela; Lamas, María Cristina; Salvia, Agustín; Langsam, Martín; Olego, Tomás; Pérez Lloret, Santiago
Resumen: Objectives: Air quality, socioeconomic status, access to healthcare, genetic predispositions, among other factors impacted the COVID-19 pandemic burden. We explored the relationship between PM2.5 levels and sanitary vulnerability in COVID-19 pandemic health outcomes in Argentina. Study design: Ecological study.&#xD;
Methods: We used the Sanitary Vulnerability Index (SVI) to account for social determinants of health and distance to health centers. PM2.5 air concentration and human emissions were obtained from the Atmospheric Composition Analysis Group V5.GL.03 dataset and the inventory of anthropogenic gas-phase and particle emissions for Argentina (GEEA-AEIv3.0M), respectively. Finally, we extracted data from March 1, 2020, to January 1, 2021 from the official Argentinean database of COVID-19 (Argentine Ministry of Health).&#xD;
Results: SVI correlated with the rate of positive COVID-19 tests per 100,000 people (r = −0.56, p &lt; 0.01), Intensive Care Unit (ICU) admissions per 100,000 people (r = −0.52, p &lt; 0.01), and deaths per 100,000 people (r = −0.58, p &lt; 0.01). PM2.5 air concentration correlated with the rate of positive tests (r = −0.09, p = 0.03), ICU admissions (r = −0.16, p &lt; 0.01), and mortality (r = −0.11, p = 0.01). PM2.5 human emissions did not show significant correlations with COVID-19 outcomes. There was a significant interaction between SVI and PM2.5 air concentration for the rate of positive COVID-19 tests and mortality. PM2.5 air quality showed a positive and significant association with the outcomes only in areas with high SVI. A machine-learning model including these variables accounted for 46 % of the variability. Conclusions: The interplay between health vulnerability and air quality in human health is complex. Addressing the burden of COVID-19 pandemic requires the consideration of a comprehensive range of determinants.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Estudio longitudinal de las alteraciones del sueño como consecuencias no previstas de la pandemia por COVID-19 en Argentina</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/19911" />
    <author>
      <name>Incaurgarat, María Florencia</name>
    </author>
    <author>
      <name>Paternó Manavella, María Agustina</name>
    </author>
    <author>
      <name>Rodríguez Espínola, Solange</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/19911</id>
    <updated>2026-04-22T14:33:18Z</updated>
    <published>2024-01-01T00:00:00Z</published>
    <summary type="text">Título: Estudio longitudinal de las alteraciones del sueño como consecuencias no previstas de la pandemia por COVID-19 en Argentina; Longitudinal Study on Sleep Disturbances as Unintended Consequences of the COVID-19 Pandemic in Argentina
Autor: Incaurgarat, María Florencia; Paternó Manavella, María Agustina; Rodríguez Espínola, Solange
Resumen: En el marco de las consecuencias no previstas desencadenadas por la pandemia de COVID19 y más específicamente por las políticas de confinamiento, el presente estudio se focaliza en los trastornos del sueño producidos en dicho contexto en personas que residen en las urbes de Argentina. Para ello, se propuso evaluar la cantidad en horas y calidad de sueño de la población adulta durante la cuarentena y realizar una comparación entre tres períodos (juloct de 2019, mayo de 2020, juloct de 2020) que permita identificar cambios a partir de la cuarentena por pandemia de COVID19. Asimismo, se analizaron diferencias en el sueño según sexo, edad y el estrato socioocupacional del hogar. Se realizó un análisis descriptivo del conjunto de datos panel (n=500) recopilados por el Observatorio de la Deuda Social Argentina a través de la Encuesta de la Deuda Social Argentina administrada en el Área Metropolitana de Buenos Aires. Los resultados evidencian la alteración del sueño durante el aislamiento estricto, tanto en términos de cantidad como calidad de sueño, siendo los más afectados los más jóvenes, las mujeres y los miembros de hogares de estratos socioocupacionales más bajos. Estos resultados permiten reflexionar sobre la importancia de concepciones integrales de la salud en el diseño de políticas sanitarias y, específicamente, la consideración de la calidad del sueño como un tema de investigación en salud pública.; In the context of the unintended consequences triggered by the COVID19 pandemic and more specifically by the lockdown policies, this study focuses on sleep disorders that arose in this context among people living in urban areas of Argentina. The objective was to evaluate quantity and quality of sleep among the adult population during the quarantine and to make a comparison between three periods (JulyOctober 2019, May 2020, JulyOctober 2020) to identify changes resulting from the COVID19 lockdown. Additionally, differences in sleep were analyzed based on gender, age and the sociooccupational stratum of the household. A descriptive analysis was conducted on the panel data set (n=500) collected by the Argentine Social Debt Observatory through the Argentine Social Debt Survey administered in the Metropolitan Area of Buenos Aires. The results show sleep disturbances during the strict lockdown, both in terms of quantity and quality of sleep, with the most affected being younger individuals, women, and members of households from lower sociooccupational strata. These findings allow us to reflect on the importance of comprehensive health concepts in the design of health policies and, specifically, the consideration of sleep quality as a topic of public health research.</summary>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </entry>
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