Journal of Population Ageing最新文献

The combined demographic and epidemiologic transition may significantly challenge the ageing population, especially with a weak health and non-health supporting system. The study aims to elicit the supply side stakeholders' view on healthy ageing and the readiness for a healthy ageing society in the Kerala context, which is one of India's most advanced states in terms of demographic and epidemiologic transition. Data from various stakeholders in the field of Gerontology was collected using semi-structured in-depth interviews. A four-step content analysis and themes identification procedure were followed for the data analysis. The study results reiterated the World Health Organisation's (WHO) conceptualisation of healthy ageing, indicating that the intrinsic and extrinsic factors independently or their interacted effect played a potential role in determining healthy ageing. However, the results also revealed that healthy ageing represents only a partial achievement of successful ageing or ageing well. Quality of life (productive/active ageing) and well-being (happiness and freedom) dimensions are inevitable for successful aging. The four overarching themes emerged for preparing a healthy ageing society include (i) planning and resources, (ii) leadership, governance and implementation, (iii) ageing in place, and (iv) opportunities and challenges. The stakeholders perceived that to work towards a healthy ageing society, there is a crucial role for government and non-government partners at various levels.

To examine COVID-19 mortality demographics to determine if there will be any substantive shifts in population forecasts that will impact health and long-term care planning for seniors in both countries. Demographic data from Statistics Canada and the U.S. Census Bureau to 2060 are adjusted for COVID-19 age-group-specific mortality and then projected forward in five-year increments. These projections are then annualized using a linear imputation between each projected value. Consideration is given to the seniors 65 + , 75 + and 85 + as well as dependency ratios of each age category. Forecasts suggest that the proportion of seniors in the population will roughly plateau in 2035 at approximately 21% (U.S.) and 24% (Canada)-with another uptick observed beginning in 2050 for those aged 75 + . Adjustments due to the pandemic have had little impact on these projections suggesting that-unless there is a major shift in the demographics of pandemic-related mortality-the resource planning implications will be largely inconsequential. Investments in resources to serve seniors need not be done with the intention to repurpose these assets before they are fully depleted. While the demonstrated demographic plateau is likely to hold steady, there is uncertainty around the expected rate of decline in the health of seniors. Depending on this trajectory, community-level social supports could play a large role in lengthening the duration of senior health and independence.

Older people have been identified as a particularly vulnerable group during the COVID-19 pandemic. However, the question of how older people actually fared during the COVID-19 pandemic has only been sporadically addressed. This article aims to partly fill this gap by classifying subgroups of older people using Latent Class Analysis. Indicators used are: risk perception, safety behavior, and well-being. To predict subgroup membership, age, gender, living arrangement, children, chronic illness, conflict, socioeconomic status, and migration history are controlled for. The data analyzed stem from a phone survey among 491 older people (75-100 years) in Germany conducted in September/October 2020. Results show that three subgroups of older people - the least, the more and the most affected - can be formed based on their risk perception, safety behavior, and well-being, indicating the usefulness of these three constructs for identifying and studying older people particularly affected by the COVID-19 pandemic and the measures taken to contain it.

Supplementary information: The online version contains supplementary material available at 10.1007/s12062-021-09352-4.

We explore patterns and determinants of health transition probabilities by combining outcomes of morbidity and mortality to examine different aging patterns across Europe, and to ascertain how individual socio-demographic characteristics modify these patterns. We use panel data from the Survey of Health, Ageing and Retirement in Europe (2004- 2017) for 76,536 individuals aged 50 + in 20 European countries who participated in at least two waves. All transition probabilities were calculated applying a multistate analytical approach. Our findings show significant gender, education, and cohort differences in health transition probabilities and marked cross-country group differences. Central and Northern European countries present lower probabilities of health deterioration than Southern and, especially, Eastern European countries. Having a high level of education, living in Central Europe, and being younger are associated with lower probabilities of health deterioration and, if any, a higher probability of being restored to good health. We found less evidence of differences when transitions end in death. Our study contributes to this line of research by implementing a multistate approach using European harmonized panel dataset, to examine the effects of birth cohort, educational attainment and gender differences on health transitions. Our findings point to the need to consider the specific influence of individual factors in the aging process in different transitions according to the context and with reference to specific vulnerable groups. In the context of aging societies, such a consideration is both essential and policy relevant.

Supplementary information: The online version contains supplementary material available at 10.1007/s12062-022-09403-4.

With an increased prevalence of people living alone in later life, understanding the health and wellbeing of older women living alone in the UK is an important area of research. Little is known about health and wellbeing in this population and whether they differ from those who cohabit. This paper fills this research gap. Analysis was undertaken of Wave 8 of the Understanding Society Household Panel Survey, including variables such as internet use and volunteering. Differences were found between those who live alone and cohabit. Volunteering was a predictor of better health outcomes for those who lived alone but not for those who cohabit, despite similar rates of volunteering. Internet use predicted some better health outcome for those who cohabit but poorer for those who live alone. This suggests lifestyle factors vary in how they affect the health and wellbeing of older women, depending on cohabitation status.