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Depressive symptoms and gender differences in older adults in Hong Kong during the COVID-19 pandemic: a network analysis approach.
Jin, Yu; Sun, He-Li; Lam, Simon Ching; Su, Zhaohui; Hall, Brian J; Cheung, Teris; Qin, Ming-Zhao; Ng, Chee H; Xiang, Yu-Tao.
  • Jin Y; College of Education for the Future, Beijing Normal University, China.
  • Sun HL; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
  • Lam SC; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China.
  • Su Z; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
  • Hall BJ; School of Nursing, Tung Wah College, Hong Kong SAR, China.
  • Cheung T; School of Public Health, Southeast University, Nanjing, China.
  • Qin MZ; Center for Global Health Equity, New York University (Shanghai), Shanghai, China.
  • Ng CH; School of Global Public Health, New York University, NY, USA.
  • Xiang YT; School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Int J Biol Sci ; 18(10): 3934-3941, 2022.
Article in English | MEDLINE | ID: covidwho-1918062
ABSTRACT

Background:

The 2019 novel coronavirus disease (COVID-19) outbreak had a detrimental impact on the mental health of older adults. This study evaluated the central symptoms and their associations in the network of depressive symptoms and compared the network structure differences between male and female older adults in Hong Kong.

Methods:

Altogether, 3,946 older adults participated in this study. We evaluated the centrality indicators for network robustness using stability and accuracy tests, and examined the potential differences between the structure and connectivity of depression networks in male and female older adults.

Results:

The overall prevalence of depressive symptoms was 43.7% (95% CI=40.6-46.7%) in males, and 54.8% (95% CI=53.1-56.5%) in females (P<0.05). Sad Mood, Guilt, Motor problems and Lack of Energy were influential symptoms in the network model. Gender differences were found in the network global strength, especially in the following edges Sad Mood--Guilt, Concentration--Guilt, Anhedonia--Motor, Lack of Energy--Suicide, Appetite--Suicide and Concentration--Suicide.

Conclusions:

Central symptoms in the depressive symptom network among male and female older adults may be prioritized in the treatment and prevention of depression during the pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Observational study Limits: Aged / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Int J Biol Sci Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Ijbs.69460

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Observational study Limits: Aged / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Int J Biol Sci Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Ijbs.69460