People in Hong Kong Have the Longest Life Expectancy in the World: Some Possible Explanations

The influence of stress, social support and feminine values on the health behaviour of women in Hong Kong

The relationship between feminine values, cultural values, stress, social support and health behaviour among women in Hong Kong was examined in a sample of 306 women aged 18-61 years (M = 34.77, SD = 10.43). Older age and weaker identification with Chinese cultural values were predictive of engagement with risky health behaviour, older age was also associated with lower perceived levels of stress. Further post-hoc analysis explored the mediating effect of Chinese values and stress on the relationship between feminine values and health behaviour, Chinese values and stress fully mediated the relationship between feminine values and engagement with risky health behaviour. Experiencing high levels of stress did not necessarily lead to engagement in health compromising behaviour. Incorporating cultural values into health promotion campaigns may be one approach to better engagement in health promotion behaviour.

Secular trends of life expectancy and disability-free life expectancy at age 65 and associated gender and area-level socioeconomic inequalities in Hong Kong: a serial cross-sectional study between 2007 and 2020

Background

Despite Hong Kong's world leading longevity, little is known about its associated disability burden and social patterning. Hence, this study assessed the gender-specific secular trends and area-level inequalities in life expectancy (LE) and disability-free life expectancy (DFLE) at age 65 in Hong Kong.

Methods

Population structure, death records, and disability data in 2007, 2013, and 2020 were retrieved from the Census and Statistics Department to estimate LE and DFLE using the Sullivan Method. District-based sociodemographic indicators were used to compare LE and DFLE across 18 districts of Hong Kong in 2013.

Findings

Between 2007 and 2020, LE at age 65 increased by 3.7 years (from 18.3 to 22.0) in men and by 2.1 years (from 22.7 to 24.8) in women. By contrast, DFLE increased more slowly, by 1.8 years (from 14.6 to 16.3) in men and by only 0.1 year (from 16.4 to 16.5) in women, leading to a substantial increase in proportion of life spent with disability. Results from multiple linear regression using district-based data in 2013 showed a similar extent of associations of education with LE and DFLE (mean year difference: 0.81 [95% CI: 0.14, 1.48] and 0.68 [0.10, 1.27], respectively, per 10% increase in average education level), while female gender was more strongly associated with LE (4.44 [3.56, 5.31]) than with DFLE (2.00 [1.18, 2.82]).

Interpretation

Expansion of disability burden and male-female health-survival paradox hold true in Hong Kong. Unlike Western countries with a stronger socioeconomic patterning of DFLE, the extent of area-level socioeconomic inequalities in LE and DFLE appears to be more comparable in Hong Kong.

Funding

Health and Medical Research Fund (Ref. no.: 19202031) by the Health Bureau of Hong Kong.

Monitoring socioeconomic inequalities in health in Hong Kong: insights and lessons from the UK and Australia

In many developed countries such as the UK and Australia, addressing socioeconomic inequalities in health is a priority in their policy agenda, with well-established practices and authorities to collect and link selected health and social indicators for long-term monitoring. Nonetheless, the monitoring of socioeconomic inequalities in health in Hong Kong remains in a piecemeal manner. Also, the common international practice to monitor inequalities at area level appears to be unsuitable in Hong Kong due to its small, compact, and highly interconnected built environment that limits the variation of neighbourhood deprivation level. To enhance inequality monitoring in Hong Kong, we aim to draw reference and lesson from the UK and Australia to explore the feasible steps forward regarding collection of health indicators and contextually appropriate equity stratifiers with strong implication on policy actions, and discuss potential strategies to promote the public awareness and motivations for a more comprehensive inequality monitoring system.

Physical Competence, Physical Well-Being, and Perceived Physical Literacy among Older Adults in Day Care Centers of Hong Kong

In Hong Kong, where the aging problem is inevitable, it is increasingly common for older adults to be admitted to day care centers. However, there has been limited research exploring conceivable indicators of healthy aging among older adults in such settings. The present study investigated the associations among the three indicators (physical competence, physical well-being, and perceived physical literacy) among older adults in day care centers of Hong Kong. A total of 97 participants (aged 60 years old or above) participated in the study from April to July 2021 amid the COVID-19 pandemic. Data on participants’ sociodemographic information, physical competence (PC), physical well-being (PWB), and perceived physical literacy (PPL) were collected. Our results showed that the level of PC reached a high level among the participants. Positive correlations were found between PC and PWB and between PPL and PWB (r = 0.22−0.23, p < 0.05). However, PC was not associated with PPL (r = 0.11, p > 0.05). In addition, as a component within PPL, “knowledge and understanding” (KU) was found to be correlated with PC (r = 0.21, p < 0.05) and had a positive and moderate correlation with PWB (r = 0.35, p < 0.01). The results suggest that older adults admitted to day care centers maintain and enhance their physical competence to improve their physical well-being. Greater knowledge and understanding of physical literacy and physical health should be delivered among day care centers considering future development.

Factors Affecting Trends in Societal Indicators of Ageing Well in Hong Kong: Policies, Politics and Pandemics

OBJECTIVES

To document the trend in a quality of life indicator for the older Hong Kong population as an assessment of the impact of age friendly city policies, political conflicts and the covid-19 pandemic.

DESIGN

Random telephone survey and collection of government data over four years (2017-2020).

SETTING

Community living older people.

PARTICIPANTS

People aged 50 years and over.

MEASUREMENTS

The Hong Kong Quality of Life Index covering four domains of in income security, health status, capability and enabling environment.

RESULTS

From 2017-9, improvements were seen in various domains in parallel with the adoption of the World Health Organization's Age Friendly City concept by government policy together with a territory wide initiative supported by a major philanthropic organization. However scores of all domains dropped markedly as a result of political conflicts as well as the onset of the pandemic.

CONCLUSION

The documentation of the trend in HKEQOL shows that while it may be used as a macro indicator that is able to reflect policies affecting the well-being of older people, it is also able to reflect the impact of societal unrest and pandemics, and that the latter may override the effect of existing ageing policies. It also follows that during social unrest and pandemics, specific policies targeting older people may be needed to maintain well-being.

Forecasting mortality rates using hybrid Lee–Carter model, artificial neural network and random forest

Inaccurate prediction would cause the insurance company encounter catastrophic losses and may lead to overpriced premiums where low-earning consumers cannot afford to insure themselves. The ability to forecast mortality rates accurately can allow the insurance company to take preventive measures to introduce new policies with reasonable prices. In this paper, several Lee–Carter (LC) based models are used to forecast the mortality rates in a case study of the Malaysian population. The LC-ARIMA model and also a combination of the LC model with two machine learning (ML) methods, namely the random forest (RF) and artificial neural network (ANN) methods are utilized on the prediction of mortality rates for males and females in Malaysia, whereby the LC-Random Forest (LC-RF) hybrid model is a new model that is introduced in this paper. Seventeen years of mortality data in Malaysia are selected as the dataset for this research. To analyze how the forecasting models perform for other countries, we have determined the model that has the best fit and produced the best forecasted mortality rates for all the other countries that are studied. This research has showed that LC-ANN and LC-ARIMA are the best model in predicting the mortality rates of males and females in Malaysia, respectively. This study has also found that the LC-ARIMA model is the best performing model in forecasting the mortality rates in countries that have longer life expectancy and a good healthcare system such as Sweden, Ireland, Japan, Hong Kong, Norway, Switzerland and Czechia. In contrast, the LC-ANN model is the best performing model in forecasting the mortality rates in countries that have a less efficiency, less accessibility healthcare system, and bad personal behavior such as Malaysia, Canada and Latvia.

Examining the Gaps and Issues of End-of-Life Care among Older Population through the Lens of Socioecological Model-A Multi-Method Qualitative Study of Hong Kong

End-of-life (EOL) care for terminal illness and life-limiting conditions is a sector in the health service spectrum that is drawing increased attention. Despite having the world's longest life expectancy and an ever-escalating demand for long-term care, Hong Kong's EOL care was underdeveloped. The current study aims to provide a holistic picture of gaps and issues to EOL care in Hong Kong. Data collection was conducted using a multi-method qualitative approach that included focus groups and in-depth interviews with key informants and stakeholders, and longitudinal case studies with patients and families. Deductive thematic analysis was used to examine service gaps in current EOL care through the lens of a socioecological model where gaps and issues in various nested, hierarchical levels of care as well as the relationships between these levels were studied in detail. Using the model, we identified gaps and issues of EOL care among older populations in Hong Kong at the policy, legal, community, institutional, as well as intrapersonal and interpersonal levels. These include but are not limited to a lack of overarching EOL care policy framework, ambiguity in the legal basis for mental incapacity, legislative barriers for advance directives, inadequate capacity, resources, and support in the community to administer EOL care, inadequate knowledge, training, and resources for EOL care in health and social care sectors, inadequate medical-social interface, general reluctance and fear of death and dying, as well as the cultural interpretation of filial piety that may lengthen the suffering of the dying patients. Findings highlight the multi-level gaps and issues of EOL care in a place where western and eastern culture meet, and shed light on how best to design more effective and comprehensive policy interventions that will likely have a more sustainable and instrumental impact on facilitating person-centered EOL care during the end of life.