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Incidence of Deliberate Self-Harm in Hong Kong Before and During the COVID-19 Pandemic: Population-Wide Retrospective Cohort Study

Age was categorized into teenagers (12‐17 y), young adults (18‐24 y), adults (25‐64 y), and older adults (65‐84 y). Public assistance pay codes referred to the recipients of the Hospital Authority medical fee waiver schemes (Residential Care Service Voucher, Comprehensive Social Security Assistance, and Old Age Living Allowance) [23]. Triage categories 1 to 3 were defined in Table S2 in Multimedia Appendix 1 [18].

Luke Y F Luk, Christie J Y Ching, Tsz Fung Yip, Sunny C L Chan, Catherine Y T Lam, Elizabeth T C Lam, Serena R B Yue, Hoi Ching Pang, Janet Y H Wong, Carlos K H Wong, Chak Kwan Tong, Tafu Yamamoto, Timothy H Rainer, Abraham K C Wai, Joshua W K Ho

JMIR Public Health Surveill 2025;11:e57500

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The Effect of the COVID-19 Pandemic on Non–COVID-19 Deaths: Population-Wide Retrospective Cohort Study

We also believe that by excluding COVID-19–positive patients from the study population, the association between COVID-19 and 28-day death numbers (ie, Z-Y) has been minimized. Age and sex strata with mean daily 28-day mortality from 2016 to 2021 less than or equal to 1 were excluded from the causal inference analysis due to model instability. The strata were the age groups 0-17, 18-34, and 35-44 years and both sexes (male and female).

Abraham Ka-chung Wai, Tsz Fung Yip, Yui Hang Wong, Chun Kit Chu, Teddy Lee, Ken Hung On Yu, Wang Leong So, Janet Y H Wong, Carlos King-ho Wong, Joshua W Ho, Timothy Rainer

JMIR Public Health Surveill 2024;10:e41792

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A Web-Based Sexual Health Intervention to Prevent Sexually Transmitted Infections in Hong Kong: Model-Based Cost-Effectiveness Analysis

Wen Zhang, Carlos K H Wong, Yiqiao Xin, Daniel Y T Fong, Janet Y H Wong

J Med Internet Res 2023;25:e45054

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Psychometric Evaluation of a Fear of COVID-19 Scale in China: Cross-sectional Study

Edmond P H Choi, Wenjie Duan, Daniel Y T Fong, Kris Y W Lok, Mandy Ho, Janet Y H Wong, Chia-Chin Lin

JMIR Form Res 2022;6(3):e31992

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Effects of Social Networking Service (SNS) Addiction on Mental Health Status in Chinese University Students: Structural Equation Modeling Approach Using a Cross-sectional Online Survey

Compared with other age groups, younger age groups more popularly use SNSs, and 95% of young people in HK, aged from 10 to 24 years, used SNSs for an average of 17.7 h/week (the longest SNS use than other age groups) in 2018 [4]. As SNS use has gained popularity, problematic SNS use, such as excessive SNS use, which is a relatively long duration or frequent use of SNSs [7], has also increased among young people [8,9].

Tingxuan Wang, Janet Y H Wong, Man Ping Wang, Amanda Chiu Yin Li, Sang Suk Kim, Jung Jae Lee

J Med Internet Res 2021;23(12):e26733

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