Chongmei Huang

Dr. Chongmei Huang

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 March 2022 in International Journal of Nursing Studies
Verified
Journal Article
Closed access
JXJinnan Xiao
Jinnan Xiao
KCKa Ming Chow
Ka Ming Chow
KCKa Ming Chow
Ka Ming Chow
MNMarques Shek Nam Ng
Marques Shek Nam Ng
CHChongmei Huang
Chongmei Huang
CCCarmen W.H. Chan
Carmen W.H. Chan

24 August 2019 in Journal of Psychiatric and Mental Health Nursing
Verified
Journal Article
Closed access
PDF file
CHChongmei Huang
Chongmei Huang
VPVirginia Plummer
Virginia Plummer
LLLouisa Lam
Louisa Lam
WCWendy Cross
Wendy Cross

1 July 2024 in Aging & Mental Health
Verified
Journal Article
Closed access
QWQing Wang
Qing Wang
XHXiaoting Huang
Xiaoting Huang
MLMinhui Liu
Minhui Liu
CWChunyu Wang
Chunyu Wang
ZSZaiqing Sun
Zaiqing Sun
STSiyuan Tang
Siyuan Tang
To determine a pooled prevalence of depression and its influencing factors among nursing home residents. PsycINFO, PubMed, Embase, and Web of Science were searched for studies investigating the prevalence and risk factors of late-life depression among nursing home residents between January 2012 and November 2022. Two reviewers independently completed the literature screening, data extraction and quality assessment. A random-effects model was utilized to pool the prevalence of depression and summarize the influencing factors. This meta-analysis included 48 studies involving 28,501 participants. The pooled prevalence of depressive mood and major depressive disorder was 53% and 27%, respectively. The rate of depressive mood is higher in lower-middle-income countries (60.0%), compared with high- (53.0%) and upper-middle-income countries (44.0%). The rate of depressive mood (35.0%) is higher among females than male (19.0%). Depression was influenced by factors, including male (OR = 0.28), insufficient income (OR = 3.53), comorbidities (OR = 2.66), pain (OR = 2.67; r = 0.31), functional disability (r = 0.33), loneliness (r = 0.43), number of chronic health problems (r = 0.18), social support (r = -0.28), activities of daily living (r = -0.43), subjective health (r = -0.28), autonomy (r = -0.41), environment (r = -0.50) and physical (r = -0.57) and psychological health (r = -0.65). The prevalence of depressive mood is high among nursing home residents, especially in lower-middle-income countries. It is influenced by factors including gender, income, social support, daily activities, environment, physical and psychological health and autonomy. Understanding those factors can provide evidence-based recommendations for improved awareness, prevention and better management of late-life depression.

22 October 2019 in Journal of Psychiatric and Mental Health Nursing
Verified
Journal Article
Closed access
PDF file
ZGZiyao Guan
Ziyao Guan
CHChongmei Huang
Chongmei Huang
JWJames A. Wiley
James A. Wiley
MSMei Sun
Mei Sun
XBXiaoling Bai
Xiaoling Bai
STSiyuan Tang
Siyuan Tang


9 December 2020 in International Journal of Mental Health Nursing
Verified
Journal Article
Closed access
PDF file
CHChongmei Huang
Chongmei Huang
LLLouisa Lam
Louisa Lam
YZYaping Zhong
Yaping Zhong
VPVirginia Plummer
Virginia Plummer
WCWendy Cross
Wendy Cross