Mental health status of adults under institutional quarantine: a cross sectional survey in Tunisia

Kharroubi, Ghassen; Cherif, Ines; Amor, Sina Haj; Zribi, Mariem; Atigue, Wejdene Ben; Ouali, Uta; Bettaieb, Jihéne

doi:10.11604/pamj.2021.40.197.31112

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Indeed, quarantined individuals have been reported to develop psychiatric symptoms or a worsening psychological condition. 3 , 4 Existing mental health burdens can be exacerbated by the effects of COVID-19 and such changes are likely to persist after the pandemic ends if they are not addressed. 5 …”

Section: Introductionmentioning

confidence: 99%

Longitudinal investigation of factors influencing mental health during centralized quarantine for COVID-19

Huang

Yang

et al. 2023

International Health

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Background Centralized quarantine was applied in response to the coronavirus disease 2019 outbreak. The present study aimed to investigate changes in psychological status of isolated individuals before and after quarantine. Methods Between August 2020 and July 2021, 648 participants completed the following psychometric evaluations before and after centralized quarantine: 9-item Patient Health Questionnaire for depression, 7-item Generalized Anxiety Disorder for anxiety, the Chinese version of the Connor Davidson Resilience Scale for psychological resilience, the Chinese version of the Simplified Coping Style Questionnaire for coping style, Jiang's revised Chinese version of the Perceived Social Support Scale for social support and the Chinese version of the Impact of Events Scale for stress. Results At the beginning of centralized quarantine, 83.2% (n=539) of participants had no depressive mood, 11% (n=71) had mild depressive mood and 5.8% (n=38) had moderate–severe depressive mood. At the end of quarantine, 80.8% (n=524) of participants had no depressive mood, 13% (n=84) had mild depressive mood and 6.2% (n=41) had moderate–severe depressive mood. At the beginning of the centralized quarantine, 86.7% (n=562) of participants had no anxiety, 9.6% (n=62) had mild anxiety and 3.7% (n=24) had moderate–severe anxiety. At the end of quarantine, 85.8% (n=556) of participants had no anxiety, 11.6% (n=75) had mild anxiety and 2.6% (n=17) had moderate–severe anxiety. After 2 weeks of centralized quarantine, anxiety (t=2.175, p<0.05), stress (t=7.453, p<0.01) and three stress subscale scores (p<0.01) decreased significantly; psychology resilience (t=−3.63, p<0.01), tenacity (t=−4.747, p<0.01), active coping style (t=−3.83, p<0.01) and support outside family (t=−3.07, p<0.05) all increased significantly. No significant change was observed in depression, strength, optimism, passive coping style or support inside family. Depression and anxiety scores associated significantly with resilience, stress, coping styles and social support scores. Anxiety (B=0.488, β=0.413, p<0.01), psychological resilience (B=−0.047, β=−0.203, p<0.01) and stress (B=1.475, β=0.167, p<0.1) scores before centralized quarantine were associated with depression after quarantine. Depression (B=0.323, β=0.422, p<0.01), psychological resilience (B=−0.022, β=−0.123, p<0.01) and stress (B=1.408, β=0.207, p<0.01) scores before quarantine also influenced anxiety levels after quarantine. A cross-lagged panel model indicated that depression, anxiety, resilience and stress scores at the first assessment were predictive of depression and anxiety levels at the second assessment. Conclusions Good mental health during centralized quarantine was associated with high scores of psychological resilience, impact of events, coping styles and social support and did not become worse in settings where adequate support was available.

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Section: Introductionmentioning

confidence: 99%

Longitudinal investigation of factors influencing mental health during centralized quarantine for COVID-19

Huang

Yang

et al. 2023

International Health

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“…Tunisia can be a favorable geographical space for these problems. The pandemic in this country was associated with high mortality rates ( 40 , 41 ), behavioral changes ( 42 ) and mental health problems ( 43 ). Correspondingly, serious internet addiction problems have been reported ( 41 ).…”

Section: Introductionmentioning

confidence: 99%

Latent Profile Analysis to Survey Positive Mental Health and Well-Being: A Pilot Investigation Insight Tunisian Facebook Users

et al. 2022

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BackgroundTo examine mental health during COVID-19 peaks, lockdown, and times of curfew, many studies have used the LPA/LCA person-centered approach to uncover and explore unobserved groups. However, the majority of research has focused only on negative psychological concepts to explain mental health. In this paper, we take another perspective to explore mental health. In addition, the study focuses on a period of peak decline in the COVID-19 pandemic.ObjectiveThe present paper aim (a) empirically identifies different profiles among a cohort of Facebook users in Tunisia based on positive factors of mental health using a person-centered approach, (b) outline identified profiles across sociodemographic, internet use, and physical activity, and (c) establish predictors of these profiles.MethodsCross-sectional data were collected through an online survey among 950 Facebook users were female (n = 499; 52.53%) and male (n = 451; 47.47) with an average age =31.30 ± 9.42. Subjects filled Arabic version of Satisfaction with Life Scale, Scale of Happiness (SWLS), Gratitude Questionnaire (GQ-6), International Physical Activity Questionnaire (IPAQ), and the Spirituel Well-Being Scale (SWBS).ResultsThe LPA results revealed three clusters. The first cluster (n = 489, 51,47%) contains individuals who have low scores on the positive psychology scales. The second cluster (n = 357, 37,58%) contained individuals with moderate positive psychology scores. However, a third cluster (n = 104, 10,95%) had high positive psychology scores. The selected variables in the model were put to a comparison test to ensure that the classification solution was adequate. Subsequently, the clusters were compared for the variables of socio-demographics, use of the internet for entertainment and physical activity, the results showed significant differences for gender (low mental well-being for the female gender), socio-economic level (low for the low-income class), and physical activity (low mental well-being for the non-exerciser). However, no significant differences were found for the variables age, location, and use of the Internet for entertainment.ConclusionOur results complement person-centered studies (LPA/LCA) related to the COVID-19 pandemic and can serve researchers and mental health practitioners in both diagnostic and intervention phases for the public. In addition, the GQ6 scale is a valid and reliable tool that can be administered to measure gratitude for culturally similar populations.

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Psychological Status and Warfarin Therapy in Patients after Valve Replacement during the COVID-19 Pandemic: A Cross-sectional Study

Chen,

He,

Tan

et al. 2024

CURR MED SCI

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Mental health status of adults under institutional quarantine: a cross sectional survey in Tunisia

Cited by 4 publications

References 27 publications

Longitudinal investigation of factors influencing mental health during centralized quarantine for COVID-19

Longitudinal investigation of factors influencing mental health during centralized quarantine for COVID-19

Latent Profile Analysis to Survey Positive Mental Health and Well-Being: A Pilot Investigation Insight Tunisian Facebook Users

Psychological Status and Warfarin Therapy in Patients after Valve Replacement during the COVID-19 Pandemic: A Cross-sectional Study

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