Pui Hing Chau

Dr. Pui Hing Chau

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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23 May 2008 in International Journal of Geriatric Psychiatry
Verified
Journal Article
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YCYee Tak Derke Cheung
Yee Tak Derke Cheung
PCPui Hing Chau
Pui Hing Chau
PYPaul Siu Fai Yip
Paul Siu Fai Yip

1 March 2010 in Crisis
Verified
Journal Article
Closed access
PYPaul Siu Fai Yip
Paul Siu Fai Yip
YCYee Tak Derke Cheung
Yee Tak Derke Cheung
PCPui Hing Chau
Pui Hing Chau
YLY.W. Law
Y.W. Law
Background: Previous studies revealed that there was a significant increase in suicide deaths among those aged 65 and over in 2003. The peak coincided with the majority of SARS cases being reported in April 2003. Aims: In this paper we examine the mechanism of how the SARS outbreak resulted in a higher completed suicide rate especially among older adults in Hong Kong. Methods: We used Qualitative data analysis to uncover the association between the occurrence of SARS and older adult suicide. Furthermore, we used a qualitative study based on the Coroner Court reports to provide empirical evidence about the relationship between SARS and the excessive number of suicide deaths among the elderly. Results: SARS-related older adult suicide victims were more likely to be afraid of contracting the disease and had fears of disconnection. The suicide motives among SARS-related suicide deaths were more closely associated with stress over fears of being a burden to their families during the negative impact of the epidemic. Social disengagement, mental stress, and anxiety at the time of the SARS epidemic among a certain group of older adults resulted in an exceptionally high rate of suicide deaths. Conclusions: We recommend that the mental and psychological well-being of the community, in particular older adults, be taken into careful account when developing epidemic control measures to combat the future outbreak of diseases in the community. In addition, it is important to alert family members to vulnerable individuals who are at potential risk because of their illnesses or anxieties.

12 November 2018 in Journal of Behavioral Addictions
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Journal Article
Open access
TLTzu Tsun Luk
Tzu Tsun Luk
Man Ping WangMan Ping Wang
Man Ping Wang
CSChen Shen
Chen Shen
AWAlice Wan
Alice Wan
PCPui Hing Chau
Pui Hing Chau
TLTai-Hing Lam
Tai-Hing Lam
Background and aims: Problematic smartphone use (PSU) is an emerging but understudied public health issue. Little is known about the epidemiology of PSU at the population level. We evaluated the psychometric properties of the Smartphone Addiction Scale – Short Version (SAS-SV) and examined its associated sociodemographic factors and health behaviors in Chinese adults in Hong Kong. Methods: A random sample of 3,211 adults aged ≥18 years (mean ± SD: 43.3 ± 15.7, 45.3% men) participated in a population-based telephone survey in Hong Kong and completed the Chinese SAS-SV. Multivariable linear regressions examined the associations of sociodemographic factors, health behaviors, and chronic disease status with SAS-SV score. Data were weighted by age, sex, and education attainment distributions of the Hong Kong general population. Results: The Chinese SAS-SV is internally consistent (Cronbach’s α = .844) and stable over 1 week (intraclass correlation coefficient = .76, p < .001). Confirmatory factor analysis supported a unidimensional structure established by previous studies. The weighted prevalence of PSU was 38.5% (95% confidence interval: 36.9%, 40.2%). Female sex, younger age, being married/cohabitated or divorced/separated (vs. unmarried), and lower education level were associated with a higher SAS-SV score (all ps <.05). Current smoking, weekly to daily alcohol drinking, and physical inactivity predict greater PSU after controlling for sociodemographic factors and mutual adjustment. Discussion and conclusions: The Chinese SAS-SV was found valid and reliable for assessing PSU in Hong Kong adults. Several sociodemographic and health behavioral factors were associated with PSU at the population level, which may have implication for prevention of PSU and future research.

24 April 2021 in Nutrients
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Journal Article
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ZCZi Chen
Zi Chen
WLWei Ying Li
Wei Ying Li
MHMandy Ho
Mandy Ho
PCPui Hing Chau
Pui Hing Chau
Sarcopenia, with risk factors such as poor nutrition and physical inactivity, is becoming prevalent among the older population. The aims of this study were (i) to systematically review the existing data on sarcopenia prevalence in the older Chinese population, (ii) to generate pooled estimates of the sex-specific prevalence among different populations, and (iii) to identify the factors associated with the heterogeneity in the estimates across studies. A search was conducted in seven databases for studies that reported the prevalence of sarcopenia in Chinese older adults, aged 60 years and over, published through April 2020. We then performed a meta-analysis to estimate the pooled prevalence, and investigated the factors associated with the variation in the prevalence across the studies using meta-regression. A total of 58 studies were included in this review. Compared with community-dwelling Chinese older adults (men: 12.9%, 95% CI: 10.7–15.1%; women: 11.2%, 95% CI: 8.9–13.4%), the pooled prevalence of sarcopenia in older adults from hospitals (men: 29.7%, 95% CI:18.4–41.1%; women: 23.0%, 95% CI:17.1–28.8%) and nursing homes (men: 26.3%, 95% CI: 19.1 to 33.4%; women: 33.7%, 95% CI: 27.2 to 40.1%) was higher. The multivariable meta-regression quantified the difference of the prevalence estimates in different populations, muscle mass assessments, and areas. This study yielded pooled estimates of sarcopenia prevalence in Chinese older adults not only from communities, but also from clinical settings and nursing homes. This study added knowledge to the current epidemiology literature about sarcopenia in older Chinese populations, and could provide background information for future preventive strategies, such as nutrition and physical activity interventions, tailored to the growing older population.

1 September 2021 in Nurse Education Today
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Journal Article
Closed access
PCPolly Chan
Polly Chan
CLC.C. Lin
C.C. Lin
PCPui Hing Chau
Pui Hing Chau
NTNaomi Takemura
Naomi Takemura
JFJ.T.C. Fung
J.T.C. Fung

22 May 2009 in International Journal of Biometeorology
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Journal Article
Closed access
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PCPui Hing Chau
Pui Hing Chau
KCK. C. Chan
K. C. Chan
Jean WooJean Woo
Jean Woo