![]() Network stability was examined using a case-dropping bootstrap procedure. Network analysis assessed the structure of insomnia including “Expected influence” to identify central symptoms in the network, and the flow function to identify specific symptoms that were directly associated with QoL. Analysis of covariance (ANCOVA) examined the relationship between insomnia and QoL. Univariate and multivariate analyses explored correlates of insomnia. Methods: A cross-sectional study was conducted between 26 July and 9 September 2022. This study investigated the prevalence and correlates of insomnia among Macau residents during this wave as well as its association with quality of life (QoL) from a network analysis perspective. Ensuing disruption from the wave is likely to have had a variety of negative mental health consequences for Macau residents including increased risk for insomnia. 7Department of Psychology, University of Macau, Macao, Macao SAR, Chinaīackground: The latest wave of the coronavirus disease 2019 (COVID-19) pandemic in Macau began on 18 June 2022 and was more serious than previous waves.6School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.5School of Public Health, Southeast University, Nanjing, China. ![]() 4Kiang Wu Nursing College of Macau, Macao, Macao SAR, China.3Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University & Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.2Centre for Cognitive and Brain Sciences, University of Macau, Macao, Macao SAR, China.1Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China.Pan Chen 1,2† Ling Zhang 3† Sha Sha 3† Mei Ieng Lam 1,4 Ka-In Lok 4 Ines Hang Iao Chow 1 Tong Leong Si 1 Zhaohui Su 5 Teris Cheung 6 Yuan Feng 3* Todd Jackson 7 Yu-Tao Xiang 1,2* ![]()
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