Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Europe PubMed Central
Article . 2020
Data sources: PubMed Central
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Frontiers in Psychiatry
Article . 2020
Data sources: DOAJ-Articles
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Frontiers in Psychiatry
Article
License: CC BY
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Frontiers in Psychiatry
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
versions View all 3 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Assessment of Depression Severity During Coronavirus Disease 2019 Pandemic Among the Palestinian Population: A Growing Concern and an Immediate Consideration

Authors: Hamzeh, Al Zabadi; Thair, Alhroub; Noor, Yaseen; Maryam, Haj-Yahya;

Assessment of Depression Severity During Coronavirus Disease 2019 Pandemic Among the Palestinian Population: A Growing Concern and an Immediate Consideration

Abstract

Background: Aggressive quarantine and lockdown measures were implemented as protective public health actions during the coronavirus disease 2019 (COVID-19) pandemic. Assessing the psychological effects associated with these measures is an important attempt to inform local policymakers in an early stage. Yet little is known about these effects, specifically depression, among the Palestinians. This study aimed to assess the prevalence and predictors of depression among the Palestinian community during this pandemic.Materials and methods: A cross-sectional web-based survey throughout social media (Facebook and Instagram) was carried out using an anonymous online questionnaire. The validated and standardized depression, anxiety, and stress scale (DASS) was used to measure depression severity. A snowball technique recruiting the general public living in Palestine was conducted. Data were collected between 6 and 16 April 2020, which corresponded to the middle interval of strict massive lockdown in Palestine on 22 March to 5 May 2020. Multinomial logistic regression model was developed to predict depression severity.Results: About 2,819 respondents filled out the questionnaire. Depression prevalence was (57.5%; n = 1,621). Out of them, 66% had mild/moderate severity, and 34% had severe/extremely severe degree. Depression severity was negatively associated with age {mild/moderate degree [OR (95% CI) = 0.98 (0.97–0.99)] and severe/extremely severe [OR (95% CI) = 0.96 (0.94–0.97)]} degrees compared with normal degree. Males were significantly less likely to have higher depression than females {mild/moderate degree [OR (95% CI) = 0.69 (0.57–0.85)] and severe/extremely severe [OR (95% CI) = 0.52 (0.40–0.86)]} degree. However, those who reported having inadequate food supply and lesser monthly incomes were more likely to have a higher degree of depression as compared with normal degree. Single persons were significantly more likely to have mild/moderate depression than those in a relationship [OR (95% CI) = 1.31 (1.05–1.64)].Conclusions: High depression prevalence (57.5%) among the Palestinian community during the COVID-19 pandemic is a growing public health concern. It is essential to provide psychological counseling and treatment during and after the pandemic for the targeted people at high risk (young age/female gender) who were affected psychologically. Strategic long-term policy to address pandemic ramifications, including depression, by implementing comprehensive interventions taking into account socioeconomic disparities, vulnerability, and inequities, is crucial to emerge from this crisis in Palestine.

Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: medicine.medical_specialty Population Poison control Suicide prevention Injury prevention medicine Single person education Depression (differential diagnoses) education.field_of_study DASS business.industry Public health business Demography

Library of Congress Subject Headings: lcsh:RC435-571 lcsh:Psychiatry

Keywords

Palestine, lockdown, Original Research, Psychiatry, quarantine, COVID-19, Psychiatry and Mental health, depression

16 references, page 1 of 2

1. Quarantine and Isolation: Centers for Disease Control and Prevention. (2017). Available online at: https://www.cdc.gov/quarantine/index.html (accessed September 29, 2017).

2. Hawryluck L, Gold WL, Robinson S, Pogorski S, Galea S, Styra R. SARS control and psychological effects of quarantine, Toronto, Canada. Emerg Infect Dis. (2004) 10:1206-12. doi: 10.3201/eid1007.030703 [OpenAIRE]

3. Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. (2020) 395:912-20. doi: 10.1016/S0140-6736(20)30460-8

4. Lei L, Huang X, Zhang S, Yang J, Yang L, Xu M. Comparison of prevalence and associated factors of anxiety and depression among people affected by vs. people unaffected by quarantine during the COVID-19 epidemic in Southwestern China. Med Sci Monit. (2020) 26:e924609. doi: 10.12659/MSM.924609

5. Liu S, Yang L, Zhang C, Xiang Y-T, Liu Z, Hu S, et al. Online mental health services in China during the COVID-19 outbreak. Lancet Psychiatry. (2020) 7:e17-8. doi: 10.1016/S2215-0366(20)30077-8

6. Psychology Foundation of Australia. Depression Anxiety Stress Scales (DASS). (2018). Available online at: http://www2.psy.unsw.edu.au/dass// (accessed July 26, 2018).

7. Coker AO, Coker OO, Sanni, D. Psychometric properties of the 21-item depression anxiety stress scale (DASS-21). Afr Res Rev. (2018) 12:135-42. doi: 10.4314/afrrev.v12i2.13

8. Moussa M, Lovibond P, Laube R, Megahead H. Psychometric properties of an arabic version of the depression anxiety stress scales (DASS): ﻪﻨﻃﻮﻤﻟﺍ ﻪﻴﺑﺮﻌﻟﺍ ﻲﺑﺎﺘﺌﻛﻻﺍ ﻖﻠﻘﻤﻟﺍ دﺎﻬﺟﻻﺍ ﺱﺎﻴﻘﻤﻟ. Res Soc Work Pract. (2016) 27:375-86. doi: 10.1177/1049731516662916

9. Allabadi H, Alkaiyat A, Alkhayyat A, Hammoudi A, Odeh H, Shtayeh J, et al. Depression and anxiety symptoms in cardiac patients: a cross-sectional hospital-based study in a Palestinian population. BMC Public Health. (2019) 19:232. doi: 10.1186/s12889-019-6561-3

10. Madianos MG, Sarhan AL, Koukia E. Major depression across West Bank: a cross-sectional general population study. Int J Soc Psychiatry. (2012) 58:315- 22. doi: 10.1177/0020764010396410 [OpenAIRE]

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold
Related to Research communities
Corona Virus Disease
moresidebar

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.