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Mixed longitudinal models for depression (PHQ-2), anxiety (GAD-2), and PTSD (PCL-C-2) over time. The mixed longitudinal models presented significant time effect for the variable Phq2 (B = 0.31, p < 0.01) but not for the variables Gad2 (B = −0.014, p = 0.752) and PCL-C-2 (B = −0.072, p = 0.193). The standard deviations for the random slopes were 1.04, 1.18, and 1.49, respectively.

Mixed longitudinal models for depression (PHQ-2), anxiety (GAD-2), and PTSD (PCL-C-2) over time. The mixed longitudinal models presented significant time effect for the variable Phq2 (B = 0.31, p < 0.01) but not for the variables Gad2 (B = −0.014, p = 0.752) and PCL-C-2 (B = −0.072, p = 0.193). The standard deviations for the random slopes were 1.04, 1.18, and 1.49, respectively.

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Background: Covid-19 remains a pandemic that most countries in the world are still dealing with. This is study aims to report the psychological impact of Covid-19 over time on the Spanish population. Methods: A longitudinal study (N = 1041) was carried out with two measurements: after 2 and 5 weeks starting from the declaration of the state of emer...

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... Nevertheless, some follow-up studies of survivors from 1 to 3 months after hospitalizations for COVID-19 have reported significant symptoms of post-traumatic stress, where depression has been one of the triggering factors. It is important to note that non-hospitalized individuals constitute a larger patient group than hospitalized ones [27][28][29]. ...
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... Research to date has shown that families and children already experiencing disadvantage were more negatively affected by these changes in terms of the impact on their education, social life, and mental health (Aucejo et al., 2020;González-Sanguino et al., 2020;You et al., 2020) but relatively little research has focused specifically on migrant families. Earlier research has shown that those families are often more likely to come from lower socioeconomic and minority language backgrounds and may not always have sufficient resources to support the education of their children (Tarasawa & Waggoner, 2015), including language proficiency and capacity to communicate with teachers about their children's learning. ...
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... The Covid-19 pandemic resulted in numerous government interventions, of which the most restrictive were lockdowns which consist of social restriction measures such as stay-athome orders, curfews, quarantines which uniquely affected the wellbeing of the entire population, leading to a staggering increase in mental health problems (e.g., Paulino et al., 2021). Because lockdown measures significantly limited opportunities for social interaction, loneliness and related mental health problems were of particular concern as evidenced by some studies (Ernst et al., 2022;González-Sanguino et al., 2020;Sousa et al., 2021). And there is some indication that young adults might have been particularly affected by the social restriction measures during the pandemic (e.g., Weissbourd et al., 2020). ...
... Moreover, there is cumulative evidence that perceived loneliness is related to adverse mental health outcomes, such as anxiety and depression, in general (Heinrich & Gullone, 2006;Jackson & Cochran, 1991;Park et al., 2020) and during the Covid-19 pandemic in particular (González-Sanguino et al., 2020;Gozansky et al., 2021;Killgore et al., 2020). One of the few longitudinal studies that examined individuals´ mental health in the Portuguese context by comparing pre-and post-pandemic mental health data also demonstrated that Covid-19 lockdown measures were associated with an increase in depressive symptoms, and a decrease in quality of life, which were linked to loneliness. ...
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... Various researches worldwide suggest that the factors associated with anxiety and depression among medically ill patients appear to be multifactorial, which includes gender, social support, specific experiences with COVID-19 infection, length of isolation, and amount of exposure to the media, specific psychiatric illness, those living in urban areas and those with accompanying chronic disease. 13,14,15 However, a mixed-method study done in Nepal that looked into anxiety and depression among people living in quarantine centers during the COVID-19 pandemic stated that anxiety and depression were independent of socio-demographic characteristics 16 . A study was done in the Philippines exploring the prevalence of anxiety and depression among cervical cancer patients, which revealed certain demographic, socioeconomic, psychosocial, and disease-related characteristics affecting the development of anxiety and depression. ...
... Our findings differed with local studies on anxiety and depression among the medically ill were age, marital and employment status and lower educational attainment showed a correlation with the development of anxiety and/ or depression 11,12,17 , these researches, however, were conducted in a tertiary medical facility on patients who have chronic debilitating diseases (Cervical Cancer, Congenital Heart Disease) among other general medical or surgical conditions. Our findings also differ from international studies where sociodemographic and clinical factors such as age, sex, comorbidities are associated with the development of anxiety and/or depression 13,14,15 although the participants of these studies were the general public who are not admitted in a hospital or a quarantine facility. Furthermore, the methods used to assess anxiety and depression were different from our study. ...
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Background: The major health crisis known as the COVID-19 pandemic has shaken several nations globally, with more than 100 million confirmed cases worldwide. This global outbreak is associated with various mental health issues, particularly anxiety and depression. This paper is aimed at determining factors affecting probable anxiety and or depression among patients admitted to quarantine facilities for COVID-19.