Risk factors associated with geriatric depression in Hong Kong

2005 ◽  
Author(s):  
Chi-man Tsui
Keyword(s):  
Risk Factors ◽  
Hong Kong ◽  
Geriatric Depression ◽  
Factors Associated

Risk factors associated with depressive symptoms in older people based on comprehensive geriatric assessment in Chongqing China

2020 ◽  
Author(s):  
Jingxi Duan ◽  
Xia Wang ◽  
Weihua Yu ◽  
Yongtao Deng ◽  
Qi Tu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Geriatric Assessment ◽  
Comprehensive Geriatric Assessment ◽  
The Elderly ◽  
Geriatric Syndrome ◽  
Geriatric Depression ◽  
Factors Associated ◽  
Reported Health

Abstract Background As a common geriatric syndrome in the elderly, depression is often associated with many risk factors. The occurrence of depression shows cultural and geographical differences. Aims To explore the prevalence of depression and risk factors associated with depressive symptoms in the elderly peoples in Chongqing, China. Methods A cross-sectional study based on comprehensive geriatric assessment questionnaire was conducted among 925 participants aged 60 years or older. Depressive symptoms were evaluated using the 30-item Geriatric Depression Scale. Risk factors related to depression were evaluated, including gender, age, education, marital status, type of work, living status, chronic diseases, disability, self-reported health, smoking, alcohol, exercise, and current working status. Results 219 (23.67%) of elderly participants suffered from depressive symptoms. Unmarried status, older age, poor self-reported health, disability, irregular exercise and chronic diseases were significantly associated with depressive symptoms in the elderly (P < 0.05). Multivariate logistic regression analysis showed that independent predictors of geriatric depression included unmarried status, poor self-reported health and disability. Conclusions The prevalence of depressive symptoms is high in Chinese old people. Risk factors of depression are mainly social support- and lifestyle- associated. Evaluation of risk factors is a vital strategy for preventing depression and taking interventions.

scholarly journals High Infection Fatality Rate Among Elderly and Risk Factors Associated With Infection Fatality Rate and Asymptomatic Infections of COVID-19 Cases in Hong Kong

2021 ◽  
Vol 8 ◽  
Author(s):  
Jun Tao ◽  
Xiaoyu Zhang ◽  
Salihu S. Musa ◽  
Lin Yang ◽  
Daihai He
Keyword(s):  
Risk Factors ◽  
Hong Kong ◽  
Regression Tree ◽  
Fatality Rate ◽  
Global Public Health ◽  
Boosted Regression Tree ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Asymptomatic Patients ◽  
Asymptomatic Infections

Background: Since the emergence in December 2019, the COVID-19 pandemic has become one of the greatest global public health threats in history. However, asymptomatic infections have increased the challenges of providing accurate estimates for the infection fatality rate (IFR) of COVID-19.Methods: We calculated the asymptomatic case ratios based on the reported COVID-19 cases in Hong Kong where intensive testing has been conducted in close contacts and high-risk populations. We estimated the IFR using both symptomatic and asymptomatic cases as denominator. The boosted regression tree (BRT) and multivariable logistic regression models were used to identify relative contribution and effect size of the risk factors associated with the asymptomatic cases and IFRs.Results: The ratio of the asymptomatic patients in Hong Kong was higher than many other regions over the world. Imported cases had a higher asymptomatic proportion than local cases. Older age and male were associated with a higher IFR than younger age and females.Conclusion: Policymakers should consider the potential risk factors for the asymptomatic infections and IFRs by the Hong Kong surveillance data to mitigate the diseases and reduce the case mortality of COVID-19.

scholarly journals Risk Factors Associated with Bedbug (Cimex spp.) Infestations Among Hong Kong Households: A Cross-Sectional Study

2021 ◽  
Author(s):  
Hin Chung Eddy Fung ◽  
Hung Wong ◽  
Siu Wai Chiu ◽  
Jerome Ho Lam Hui ◽  
Hon Ming Lam ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hong Kong ◽  
Tertiary Education ◽  
Cross Sectional Study ◽  
Vulnerable Groups ◽  
Bivariate Analysis ◽  
P Value ◽  
Cross Sectional ◽  
Factors Associated ◽  
Residential Units

Abstract To investigate the risk factors associated with bedbug infestations among Hong Kong households, self-reported questionnaires in Chinese were distributed online between June 2019 to July 2020. The questionnaire collected data on participants’ sociodemographics, history of bedbug infestation, and housing situation. Among the 663 participants who completed the questionnaire, 422 (63.7%) have experienced bedbug infestations in the past year, they were concentrated around the Kowloon region. Weighted bivariate and multivariate binary logistic regression were performed to identify the statistically significant (p-value <0.05) factors associated with bedbug infestations. Bivariate analysis shows a positive correlation between the number of reported dilapidated housing features and bedbug infestation. For multivariate analysis, those aged 45-64 (OR=2.53, 95% CI 1.30-4.91), have primary education or below (OR=9.43, 95% CI 3.12-28.44), and monthly household income ≤HKD30,000 (OR=1.69, 95% CI 1.15-2.5) were more likely to have bedbug infestation compared to their respective reference groups, i.e., ≥65, tertiary education, and >HKD30,000; housing risk factors identified are living in subdivided flats (OR=16.53, 95% CI 1.01-269.72), crowded household (OR=1.55, 95% CI 1.06-2.28), having second-hand furniture (OR=2.97, 95% CI 1.16-7.58), housing cleanliness issues (OR=2.66, 95% CI 1.13-6.25), and presence of bedbugs in neighbouring residential units (OR=3.32, 95% CI 1.57-7.04) or on the streets (OR=1.9, 95% CI 1.12-3.23). This study has identified lower income, lower education level, crowded household, living in subdivided flats, and certain dilapidated housing features to be risk factors of bedbug infestations; efforts and policies should prioritise vulnerable groups and focus on addressing the housing risk factors identified in this study.

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