scholarly journals Retirement patterns in Hong Kong: A censored regression analysis

1997 ◽  
Vol 10 (4) ◽  
pp. 443-461 ◽  
Author(s):  
Wing Suen
Keyword(s):  
Regression Analysis ◽  
Hong Kong ◽  
Censored Regression

scholarly journals Prevalence and determinants of potentially inappropriate medication use in Hong Kong older patients: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e051527
Author(s):  
Huanyu Zhang ◽  
Eliza LY Wong ◽  
Samuel YS Wong ◽  
Patsy YK Chau ◽  
Benjamin HK Yip ◽  
...  
Keyword(s):  
Older Adults ◽  
Regression Analysis ◽  
Hong Kong ◽  
Older Patients ◽  
Inappropriate Medication ◽  
Cross Sectional Study ◽  
Potentially Inappropriate Medication ◽  
Multivariable Logistic Regression Analysis ◽  
Sectional Study ◽  
Cross Sectional

ObjectivesTo assess the prevalence of potentially inappropriate medication (PIM) use in Hong Kong older patients visiting general outpatient clinics (GOPCs) between 2006 and 2014 and to identify factors associated with PIM use among older adults visiting GOPCs in 2014.DesignCross-sectional study.SettingGOPC.ParticipantsTwo study samples were constructed including a total of 844 910 patients aged 65 and above from 2006 to 2014 and a cohort of 489 301 older patients in 2014.MeasurementsTwo subsets of the 2015 American Geriatrics Society Beers criteria—PIMs independent of diagnosis and PIMs due to drug–disease interactions—were used to estimate the prevalence of PIM use over 12 months. PIMs that were not included in the Hospital Authority drug formulary or with any specific restriction or exception in terms of indication, dose or therapy duration were excluded. Characteristics of PIM users and non-PIM users visiting GOPCs in 2014 were compared. Independent associations between patient variables and PIM use were assessed by stepwise multivariable logistic regression analysis.ResultsThe 12-month period prevalence of PIM use decreased from 55.56% (95% CI 55.39% to 55.72%) in 2006 to 47.51% (95% CI 47.37% to 47.65%) in 2014. In the multivariable regression analysis, the strongest factor associated with PIM use was the number of different drugs prescribed (adjusted OR, AOR 23.01, 95% CI 22.36 to 23.67). Being female (AOR 0.89, 95% CI 0.85 to 0.87 for males vs females) and having a greater number of GOPC visits (AOR 1.83, 95% CI 1.78 to 1.88) as well as more than six diagnoses (AOR 1.43, 95% CI 1.36 to 1.52) were associated with PIM use.ConclusionsThe overall prevalence of PIM use in older adults visiting GOPCs decreased from 2006 to 2014 in Hong Kong although the prevalence of PIM use was still high in 2014. Patients with female gender, a larger number of medications prescribed, more frequent visits to GOPCs, and more than six diagnoses were at higher risk for PIM use.

scholarly journals Building a House Prices Forecasting Model in Hong Kong

2012 ◽  
Vol 2 (2) ◽  
pp. 57-70
Author(s):  
Xin Janet ◽  
Ka-Chi Lam
Keyword(s):  
Regression Analysis ◽  
Hong Kong ◽  
Household Income ◽  
House Prices ◽  
Alternative Methods ◽  
Forecasting Model ◽  
Land Supply ◽  
Related Data ◽  
Political Events ◽  
Macroeconomic Indicators

This paper builds a house prices forecasting model for private residential houses in HongKong, based on general macroeconomic indicators, housing related data and demographicfactors for the period of 1980 to 2001. A reduce form economic model has been derivedfrom a multiple regression analysis where three sets and eight models were derived foranalysis and comparison. It is found that household income, land supply, population andmovements in the Hang Seng Index play an important role in explaining house pricemovements in Hong Kong. In addition, political events, as identified, cannot be ignored.However, the results of the models are unstable. It is suggested that the OLS may nota best method for house prices model in Hong Kong situation. Alternative methods aresuggested.

scholarly journals Resident Perception and Willingness to Pay for the Restoration and Revitalization of Urban Rivers

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2649
Author(s):  
Frederick Y. S. Lee ◽  
Anson T. H. Ma ◽  
Lewis T. O. Cheung
Keyword(s):  
Regression Analysis ◽  
Hong Kong ◽  
Willingness To Pay ◽  
Place Attachment ◽  
River Restoration ◽  
Contingent Valuation Method ◽  
Place Identity ◽  
Urban Rivers ◽  
Valuation Method ◽  
Local Residents

River revitalization, also called river restoration, has been implemented globally to restore urban river ecosystems that would benefit both the environment and local residents in various ways. The Hong Kong government has been attempting to revitalize local urban rivers; however, the perception and value of river restoration have not been assessed. With the application of a contingent valuation method, a questionnaire survey was designed to capture the attitude, place attachment, and willingness to pay (WTP) of Hong Kong residents in the context of urban rivers and river revitalization, and a proposed scenario for revitalization is given. The relationships among WTP, attitude and place attachment were explored through regression analysis. A total of 400 questionnaire samples were collected from Hong Kong residents, and over 75% of respondents were willing to pay for the proposed scenario. The results from regression analysis indicated that attitude, place dependence, place identity, and place social bonding positively influenced WTP and WTP bid amounts. In contrast, the place effect was unexpectedly found to be negatively correlated with WTP. Implications were drawn from these results, and recommendations were made concerning the features to be restored and conserved in future river revitalization work and the need to provide quality urban nature-based spaces for citizens.

scholarly journals Tourism Impacts on the Quality of Life in Hong Kong

2017 ◽  
Vol 9 (3) ◽  
pp. 103 ◽  
Author(s):  
Huijun Yang ◽  
Grace Chan Suk Chan ◽  
Wenjie Li
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Hong Kong ◽  
Important Determinant ◽  
Positive Influence ◽  
Tourism Impacts ◽  
Five Dimensions ◽  
Local Residents ◽  
The Impact

This study aims to examine the impact of specific dimensions of tourism impacts on Hong Kong residents’ satisfaction with the quality of life. While factor analysis is used to explore the attributes and dimensions of tourism impacts, multiple regression analysis is employed to determine the tourism impacts on residents’ satisfaction with the quality of life. It is evident from the results that two of the five dimensions of tourism impacts have positive influence on residents’ satisfaction. Image and infrastructure are found to be the important determinant factors in explaining the satisfaction. The impacts of environment, economy, and services in affecting satisfaction seem to be insignificant. In order to maintain tourism sustainability in Hong Kong, the local residents’ perception should be taken into consideration. Recommendations are provided to achieve mutual benefits and harmonious development. 

PERCEIVED PARENTAL FAVORITISM AND SUICIDAL IDEATION IN HONG KONG ADOLESCENTS

2003 ◽  
Vol 31 (3) ◽  
pp. 245-251 ◽  
Author(s):  
Anton F. de Man ◽  
Iris N. Wong ◽  
Patrick W. L. Leung
Keyword(s):  
Regression Analysis ◽  
Hong Kong ◽  
Suicidal Ideation ◽  
Multiple Regression Analysis ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Mothers And Fathers ◽  
Hong Kong Adolescents ◽  
And Control ◽  
The Relationship

Chinese adolescents from Hong Kong (N = 317) participated in a study of the relationship between perceived parental favoritism in terms of affection and control, and suicidal ideation. Correlation analyses showed that adolescents who believed that children in their families were treated differently in terms of affection and control by their mothers and fathers reported greater suicidal ideation; whether they personally were the favored or nonfavored children made no difference. Stepwise multiple regression analysis identified perceived differential maternal affection as the best predictor of suicidal ideation.

scholarly journals Occupational Well-Being in Beginning Early Childhood Educators of Hong Kong and the Prediction of Job-Related Factors: Variable-Centered and Person-Centered Approaches

2021 ◽  
Vol 12 ◽  
Author(s):  
Jian-Bin Li ◽  
An Yang ◽  
Rui Zhang ◽  
Tuen Yung Leung ◽  
Zhouxing Li
Keyword(s):  
Early Childhood ◽  
Regression Analysis ◽  
Hong Kong ◽  
Job Demands ◽  
Working Hours ◽  
Well Being ◽  
Early Childhood Educators ◽  
Job Resources ◽  
Spring Semester ◽  
Related Factors

The occupational well-being (OWB) of early childhood educators (ECEs) play a crucial role in their job performance, the development of a child, and the operation of early childhood education sectors. OWB of ECEs has been an increasing concern in recent years and this concern might be particularly salient for beginning ECEs given the multiple adaptive changes and challenges they encounter during the transition from training to teaching. However, research on the beginning ECEs’ OWB has been scarce. In this study, we employed both variable-centered and person-centered approaches to explore OWB and examined job demands and resources as predictors in 117 Hong Kong beginning ECEs (113 females, Mage = 21.71 years). They first reported job demands (i.e., class size, working hours, dealing with children with special education needs) and job resources (i.e., salary and job support) at the end of the first month of the fall semester upon working as in-service teachers. They then reported on four OWB variables (i.e., job satisfaction, work engagement, job stress, and job burnout) at the beginning of the spring semester. Results of the variable-centered analysis revealed that beginning ECEs reported medium or above-medium levels on the positive OWB indicators and medium or below-medium levels on the negative OWB indicators. Regression analysis found that despite some exceptions, job demands and job resources negatively (positively) and positively (negatively) predicted positive (negative) OWB indicators, respectively. Results of person-centered analysis suggested that the complex pattern of different OWB indicators could be categorized into two OWB profiles (medium well-being vs. relatively weak well-being – emotional exhaustion). Results of regression analysis showed that beginning ECEs with higher job demands were less likely, whereas those with more job resources were more likely, to be assigned to the medium well-being profile. These results inform which leverage points could be targeted to enhance a specific OWB indicator and identify who would be in dire need to enhance their OWB at the very beginning of their teaching career.

scholarly journals Temporal and spatial variations of extreme precipitation in the Guangdong-Hong Kong-Macao Greater Bay area from 1961 to 2018

2021 ◽  
Author(s):  
Yueying Zhou ◽  
Zhijian Luo ◽  
Shenlin Li ◽  
Zufa Liu ◽  
Yanpeng Shen ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Hong Kong ◽  
Extreme Precipitation ◽  
Negative Impact ◽  
Moving Average ◽  
Principal Component ◽  
Kriging Interpolation ◽  
Mean Values ◽  
Bay Area ◽  
Temporal And Spatial

Abstract Disasters caused by extreme precipitation under global warming are anticipated to have a strong negative impact on urban construction and social security. In this study, daily grid precipitation datasets of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) for the period 1961–2018 were extracted to explore the temporal and spatial characteristics of extreme precipitation by using regression analysis, moving average and kriging interpolation. The frequency and intensity indices showed an increasing trend, whereas a decreasing trend was found for the persistence indices, which indicates that GBA tends to slowly become wetter. The mean values of extreme precipitation indices (EPIs) in GBA generally increased from west to east and from north to south. Except for the indices of consecutive wet days and consecutive dry days, other EPIs showed an upward trend in most regions, especially in coastal cities where floods are more likely to occur. Principal component analysis and regression analysis showed that the correlations between the EPIs mostly passed the 0.05 significance test, which suggests that they had a good indicator of extreme precipitation in GBA. This study provides a theoretical basis for extreme precipitation disaster prevention and control within the urban agglomerations of the GBA.

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