2022
DOI: 10.1016/j.jpsychires.2022.03.040
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Resilience predicts positive mental health outcomes during the COVID-19 pandemic in New Yorkers with and without obsessive-compulsive disorder

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Cited by 14 publications
(24 citation statements)
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References 36 publications
(33 reference statements)
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“…As such, the current study's finding of increasing symptoms in the early stage of the pandemic, followed by decreasing symptoms in the later stages, is in line with previous research of resilience and recovery following major life stressors (e.g., Galatzer-Levy et al, 2018 ; Hezel et al, 2022 ). Given the health authorities' and medias massive focus on the contagiousness of COVID-19 and the need for restrictions, it may be argued that participants engaged in contamination-related worries and behavior when the pandemic prompted them to and the government instructed them to, followed by a decrease when the pandemic situation improved, and guidelines eased.…”
Section: Discussionsupporting
confidence: 91%
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“…As such, the current study's finding of increasing symptoms in the early stage of the pandemic, followed by decreasing symptoms in the later stages, is in line with previous research of resilience and recovery following major life stressors (e.g., Galatzer-Levy et al, 2018 ; Hezel et al, 2022 ). Given the health authorities' and medias massive focus on the contagiousness of COVID-19 and the need for restrictions, it may be argued that participants engaged in contamination-related worries and behavior when the pandemic prompted them to and the government instructed them to, followed by a decrease when the pandemic situation improved, and guidelines eased.…”
Section: Discussionsupporting
confidence: 91%
“…The variation in response to the pandemic might also be explained by moderating factors such as resilience. In a sample of 30 healthy individuals and 33 people with OCD, Hezel et al (2022) found that resilience moderated the long-term trajectory of OCS during COVID-19. Higher baseline resilience was associated with more stable trajectories of OCS, whereas low resilience was associated with worsening OCS over time.…”
Section: Discussionmentioning
confidence: 95%
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“…Sample size ranges from very large samples (e.g., Abba-Aji, et al, 2020) to smaller samples (e.g., Mazza et al, 2020), or even single case studies (e.g., French & Lyne, 2020) whose results should be taken with caution. The age of the sample ranges from the adult population (e.g., Cudris-Torres et al, 2020;Littman et al, 2020) to the young population (e.g., Nissen et al, 2020), including populations without symptoms or with mild symptoms and without treatment (e.g., Abba-Aji et al, 2020;Fernández et al, 2020) as well as people with previously diagnosed OCD (e.g., Benatti et al, 2020;Jelinek et al, 2021;Hezel et al, 2022) of a different nature. The studies in turn will have been carried out at different phases of the pandemic: at the beginning (e.g., Abba-Aji et al, 2020;AlHusseini et al, 2021;Jelinek et al, 2021) or after the first wave, when few cases were recorded (Ji et al, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…The studies in turn will have been carried out at different phases of the pandemic: at the beginning (e.g., Abba-Aji et al, 2020;AlHusseini et al, 2021;Jelinek et al, 2021) or after the first wave, when few cases were recorded (Ji et al, 2020). Only Hezel et al (2022) provides data obtained in a study with a longitudinal design, although the sample analysed is relatively small, observing a clear effect of the pandemic's severity on patients' perception of OCD symptoms. Furthermore, some of the studies apply quantitative methodologies (e.g., Capuzzi et al, 2020), while others apply qualitative methodologies (e.g., French & Lyne, 2020).…”
Section: Resultsmentioning
confidence: 99%