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Structural changes in multi-pillar systems require greater individual responsibility for retirement saving. Therefore, in recent years, the need for multi-pillar pension information systems has been increasingly discussed in many countries. These discussions have either culminated in the introduction of various digital pension overviews or a planned rollout in the next few years. We provide an integrative review of existing international research on the use of pension communication and its effects on the knowledge, attitudes and behaviour of individuals. Small positive changes have been found in terms of knowledge, attitudes, and retirement planning behaviour because of the information provided. The paper concludes with a discussion of emerging issues, new research directions, and practical implications of pension communication in ageing societies. [ABSTRACT FROM AUTHOR]

The number of people in China aged 60 and older has risen from 10.0% in 1999 to 17.9% in 2018, signaling that Chinese society is facing an unprecedented challenge to care for their ageing population. With the decline of traditional family support for elderly relatives and subsequent development of social provisions for them, nursing homes are expected to increasingly take on a caregiving role in the coming years. Therefore, this paper first ascertains the spatial distribution of nursing homes in China. Based on a global ordinary least squares (OLS) model and geographically weighted regression model, it then investigates which socio-economic factors affect the spatial distribution of nursing homes and the degree of their influence. Study results show that, (1) nursing homes are mainly located in the Bohai Bay Economic Zone and the Yangtze River Delta region, with fewer in western cities, except Chongqing; (2) urbanisation and fiscal expenditures are the main drivers for promoting nursing homes in the Yangtze River Delta region and southwest China; (3) the increase of nursing homes in the Pearl River Delta and Northeast China may largely rely on the level of social welfare, social welfare services, and higher number of elderly people; (4) outward migration poses a major challenge to the development of nursing home services in southwest China, and North and Central China Plain, given that population size is positively associated with the number of nursing homes, and (5) population migration from west to east is continuing, so regional collaboration between east and west is urgently needed to cope with the ageing issues. This research advocates for more detailed and region- and city-targeted elderly care policies on the basis of actual situations in cities and regions. [ABSTRACT FROM AUTHOR]

Long-term care (LTC) represents a significant and substantial proportion of healthcare spends across the globe. Its main aim is to assist individuals suffering with more or more chronic illnesses, disabilities or cognitive impairments, to carry out activities associated with daily living. Shifts in several economic, demographic and social factors have raised concerns surrounding the sustainability of current systems of LTC. Substantial effort has been put into modelling the LTC demand process itself so as to increase understanding of the factors driving demand for LTC and its related services. Furthermore, such modeling efforts have also been used to plan the operation and future composition of the LTC system itself. The main aim of this paper is to provide a structured review of the literature surrounding LTC demand modeling and any such industrial application, whilst highlighting any potential direction for future researchers. [ABSTRACT FROM AUTHOR]

The old-age dependency ratio and the inadequacy of public pension finance has been a particular focus in theoretical and practical fields. Our paper suggests that the sole use of demographic data to calculate the simple old-age dependency ratio (SOADR) leads to the neglect of some important social factors and the underestimation of the seriousness of the insufficiency of pension funds. We suggest the use of a real old-age dependency ratio (ROADR) that considers students of working age, unemployment, low-income employees and retirees of working age. We use these factors in our new model, which calculates the dependency ratio and the accumulation of pension funds. The results of our simulation are presented in this paper. Comparisons are made between the general and real old-age dependency ratios to indicate the urgent need to adopt the real old-age dependency ratio in analysing pension finance. This is especially important given the assumption that China will extend the current social insurance pension system to the national state pension system covering all rural and urban employees and residents in the near future. Some policies that could be used to address these problems are also suggested in this paper. [ABSTRACT FROM AUTHOR]

A population group that is often overlooked in the recent revolution of self-tracking is the group of older people. This growing proportion of the general population is often faced with increasing health issues and discomfort. In order to come up with lifestyle advice towards the elderly, we need the ability to quantify their lifestyle, before and after an intervention. This research focuses on the task of activity recognition (AR) from accelerometer data. With that aim, we collect a substantial labelled dataset of older individuals wearing multiple devices simultaneously and performing a strict protocol of 16 activities (the GOTOV dataset, N = 28 ). Using this dataset, we trained Random Forest AR models, under varying sensor set-ups and levels of activity description granularity. The model that combines ankle and wrist accelerometers (GENEActiv) produced the best results (accuracy > 80 % ) for 16-class classification. At the same time, when additional physiological information is used, the accuracy increased ( > 85 % ). To further investigate the role of granularity in our predictions, we developed the LARA algorithm, which uses a hierarchical ontology that captures prior biological knowledge to increase or decrease the level of activity granularity (merge classes). As a result, a 12-class model in which the different paces of walking were merged showed a performance above 93 % . Testing this 12-class model in labelled free-living pilot data, the mean balanced accuracy appeared to be reasonably high, while using the LARA algorithm, we show that a 7-class model (lying down, sitting, standing, household, walking, cycling, jumping) was optimal for accuracy and granularity. Finally, we demonstrate the use of the latter model in unlabelled free-living data from a larger lifestyle intervention study. In this paper, we make the validation data as well as the derived prediction models available to the community. [ABSTRACT FROM AUTHOR]

The level, as well as the structure of private consumption, is influenced by the age structure of the population. This is shown for Austria in the first part of the paper. Age-specific saving rates and consumption patterns on national and regional levels are identified through an analysis of household data of the Austrian consumer budget survey. In a second step, the gained data is used to simulate the future development of the private saving rate and consumption structure in Austria, based on the population projections up to 2050. According to the simulation results, an increase in the private saving rate is to be expected on a national, as well as on a regional level, due to the changing shares of age groups. Furthermore, consumption goods and services in the field of transport will lose significance in favour of expenditures for housing, water, electricity, gas and other fuels, food and non-alcoholic beverages, as well as health products and services. [ABSTRACT FROM AUTHOR]

Determining factors that affect healthcare utilization by the elderly is vital for the health system to be more responsive in providing care to this vulnerable group. The main objective of this paper is to identify the effect of the predisposing, enabling, and need factors on doctor visits and in-patient care for the elderly residing in the northern region of Malaysia. A multistage cluster sampling was used in selecting the sample for the study. A total of 1414 respondents aged 60 and over were interviewed face-to-face using a structured questionnaire. A probit model was used in estimating the utilization equations. At a significance level of 0.05, except for age, all predisposing and enabling factors were not statistically significant in affecting the doctor visits. On the other hand, being a male, smoker, medical insurance holder or had not actively involved in social interaction within the reference period increases the likelihood of being in-patient. Health-related variables remain the most significant factors that determine healthcare utilization, including both doctor visits and in-patient stays, in the area of study, which suggests that government policies to improve population health may influence the level of healthcare use in the future. [ABSTRACT FROM AUTHOR]

Due to ageing populations and a future shortage of labour active people, there is a political ambition to prolong people's work force activities in Europe. The question of this paper is to what degree policy changes aimed at prolonging people's working lives have been successful in influencing peoples' commitment to paid work during the studied period of time? The age patterns of non-financial employment commitment (EC) and organisational Commitment (OC) are examined from the perspective of policy changes in four European countries, using ISSP-data collected in 1997 and 2005 from Denmark, Great Britain, Hungary and Sweden. Because of hypothesised country and group differences in visibility and proximity of policy measures taken to increase labour market participation among older workers, Danish and Swedish people were expected to display some degree of general and intended attitudinal response to the policy changes and that the British and Hungarian response would be more gender divided. The results showed that policy changes overall had little intended effect on people's attitudes to work. Instead, EC dropped dramatically in Hungary for all men from the age of 30 and over, and for Swedish men and Danish women in the 45-53 age group. OC decreased for Swedish men in the age 54 and over, and for Danish women in the 45-53 age group. The main exceptions were British and Hungarian women that displayed unchanged or even an increase in EC in the age group 54 and over. [ABSTRACT FROM AUTHOR]

This qualitative research examines the perceived walkability of different neighbourhood built-form patterns and their implications for the social life of older people. The findings suggest that both transport and leisure/exercise walking are more frequent within master-planned communities (MPC) as opposed to conventional suburbs. The main reasons for this are the proximity of destinations, the provision of aesthetically attractive areas, and residents’ feelings of being safe from crime and risk of injury within MPCs. The research reveals that walking within MPCs significantly contributes to more frequent social interactions and the establishment of weak and absent ties among older age residents. [ABSTRACT FROM AUTHOR]

Frailty is a new concept in rheumatology that can help identify people more likely to have less favorable outcomes. Sarcopenia and inflammaging can be regarded as the biological foundations of physical frailty. Frailty is becoming more widely accepted as an indicator of ageing and is linked to an increased risk of negative outcomes such as falls, injuries, and mortality. Frailty identifies a group of older adults that seem poorer and more fragile than their age-matched counterparts, despite sharing similar comorbidities, demography, sex, and age. Several studies suggest that inflammation affects immune-mediated pathways, multimorbidity, and frailty by inhibiting growth factors, increasing catabolism, and by disrupting homeostatic signaling. Frailty is more common in the community-dwelling population as people get older, ranging from 7 to 10% in those over 65 years up to 40% in those who are octogenarians. Different parameters have been validated to identify frailty. These primarily relate to two conceptual models: Fried's physical frailty phenotype and Rockwood's cumulative deficit method. Immune-mediated rheumatic diseases (IMRDs), such as rheumatoid arthritis, spondyloarthritis, systemic lupus erythematosus, systemic sclerosis, and vasculitis, are leading causes of frailty in developing countries. The aim of this review was to quantitatively synthesize published literature on the prevalence of frailty in IMRDs and to summarize current evidence on the relevance and applicability of the most widely used frailty screening tools. [ABSTRACT FROM AUTHOR]

Background: The world population is getting older, but the European Union (EU) and Turkey are getting older faster than the world average. Together with children, old people are another vulnerable part of society in a country. Poverty and social exclusion of old people are key policies for social states. This study aims to point out both the importance of the increasing number and the social exclusion of older people in the EU and Turkey. Methods: The poverty and social exclusion of older people in the EU and the candidate country Turkey were investigated using past and predicted data obtained from Eurostat, the OECD (Organisation for Economic Co-operation and Development), the World Bank, TurkStat, the United Nations (UN), and UNESCO (United Nations Educational, Scientific and Cultural Organization). Results: As income per capita increases, the birth growth rate decreases, and life expectancy at birth increases as a result of rising health expenditures. The decreasing birth rate also causes the older population share in total population to increase. In 2015 the world had a life expectancy at birth growth rate at 36.7% compared with 1960, where the EU grew by 17.1% and Turkey 66.1% compared with 1960. By 2100 the United Nations (UN) has forecast the world's total population (which was 7.2 billion in 2016) as 11.2 billion, wherein the world's 65-and-over population is expected to be nearly 2.5 billion, rising 4 times from nearly 631 million in 2016. Thus, the population of old people population is increasing much more rapidly than the world total population. In 2016, Bulgaria, Latvia, and Estonia had the highest ratio of people at risk of poverty and social exclusion, while Luxembourg, Denmark, France, and The Netherlands had the lowest ratio. Conclusion: Improvements in health innovations and health expenditure increase lead to people living longer, especially in high-income countries. One of the social states' main aims is to improve public health, so governments try to provide health care for their citizens. Otherwise facing lower physical and mental capacity create more negativity for older people in their additional living years. Additional years not only provide older people the chance to pursue new activities such as further education or a new career, but also society benefits from the experience of older people. [ABSTRACT FROM AUTHOR]

Purpose: The relative advantages of dietary analysis methods, particularly in identifying dietary patterns associated with bone mass, have not been investigated. We evaluated principal component analysis (PCA), partial least-squares (PLS) and reduced-rank regressions (RRR) in determining dietary patterns associated with bone mass.Methods: Data from 1182 study participants (45.9% males; aged 50 years and above) from the North West Adelaide Health Study (NWAHS) were used. Dietary data were collected using a food frequency questionnaire (FFQ). Dietary patterns were constructed using PCA, PLS and RRR and compared based on the performance to identify plausible patterns associated with bone mineral density (BMD) and content (BMC).Results: PCA, PLS and RRR identified two, four and four dietary patterns, respectively. All methods identified similar patterns for the first two factors (factor 1, “prudent” and factor 2, “western” patterns). Three, one and none of the patterns derived by RRR, PLS and PCA were significantly associated with bone mass, respectively. The “prudent” and dairy (factor 3) patterns determined by RRR were positively and significantly associated with BMD and BMC. Vegetables and fruit pattern (factor 4) of PLS and RRR was negatively and significantly associated with BMD and BMC, respectively.Conclusions: RRR was found to be more appropriate in identifying more (plausible) dietary patterns that are associated with bone mass than PCA and PLS. Nevertheless, the advantage of RRR over the other two methods (PCA and PLS) should be confirmed in future studies. [ABSTRACT FROM AUTHOR]

The western population is ageing. Based on the assumption that the elderly are a quite heterogeneous population group with an increasing impact on the transport system, mobility types of the elderly were identified. By means of 1,500 standardized telephone interviews, mobility behavior and possible determinantes including infrastructural, sociodemographic and attitudinal variables, were assessed. The most important factors, identified by five regression analyses, served as type-constituent variables in a series of cluster analyses. The final cluster solution resulted in four segments of the elderly named Captive Car Users, Affluent Mobiles, Self-Determined Mobiles, and Captive Public Transport Users. The groups showed distinct mobility patterns as well as significant differences in infrastructural, sociodemographic and attitudinal variables. The study provides a more comprehensive understanding of the diverse lifestyles, attitudes, travel behavior and needs of the elderly. Furthermore, it identifies starting points for the reduction of car use. [ABSTRACT FROM AUTHOR]

This review aims to present current advancements in wearable technologies and IoT-based applications to support independent living. The secondary aim was to investigate the barriers and challenges of wearable sensors and Internet-of-Things (IoT) monitoring solutions for older adults. For this work, we considered falls and activity of daily life (ADLs) for the ageing population (older adults). A total of 327 articles were screened, and 14 articles were selected for this review. This review considered recent studies published between 2015 and 2019. The research articles were selected based on the inclusion and exclusion criteria, and studies that support or present a vision to provide advancement to the current space of ADLs, independent living and supporting the ageing population. Most studies focused on the system aspects of wearable sensors and IoT monitoring solutions including advanced sensors, wireless data collection, communication platform and usability. Moderate to low usability/ user-friendly approach is reported in most of the studies. Other issues found were inaccurate sensors, battery/ power issues, restricting the users within the monitoring area/ space and lack of interoperability. The advancement of wearable technology and the possibilities of using advanced IoT technology to assist older adults with their ADLs and independent living is the subject of many recent research and investigation. [ABSTRACT FROM AUTHOR]