Search Results (20)

Social capital generates collective benefits for a community, making it stronger and more resilient. This qualitative study explored how the inclusion of pets can shape social capital within Australian retirement villages. Semi-structured interviews with village managers and residents identified five themes: perceptions of the impact of pets on (1) owners; (2) other residents; (3) the community; and (4) contextual factors influencing the impact of pets in retirement villages. However, there was an unexpected fifth theme identified around the impact that living in a retirement village could have on pets. Findings indicate that pet-friendly villages can bolster individual well-being and collective social capital. Hence, flexible, adaptable, co-designed policies should include pets as part of the community, as well as incorporating the needs of people who are intolerant of pets for medical, cultural, or personal reasons. Full article

Globally, technologically integrated housing solutions are increasingly relevant in addressing the challenges of aging populations and sustainable urban development. Drawing on the Technology Acceptance Model (TAM), this research investigates how perceptions of usefulness, ease of use, and attitudes influence relocation intention to smart retirement villages (SRVs), while also examining any significant differences between the socio-demographic variables and such intention. A total of 305 individuals aged 55 and above participated in an online survey, with data analyzed using IBM SPSS Statistics version 27 and AMOS-SEM version 25. The findings reveal that elderly individuals of Chinese ethnicity, those who are married, and those aged between 66 and 70 are more inclined to relocate to SRVs. Attitude and perceived usefulness significantly predict relocation intention, while perceived ease of use exerts an indirect effect through usefulness. These results highlight the importance of integrating user-centered technological design with socio-cultural and demographic considerations in the development of age-friendly built environments. The study offers insights for urban planners, policymakers, and developers seeking to create inclusive and sustainable smart housing solutions for aging populations. Full article

The residential construction sector is critical to economic stability and housing availability. Residential construction demands often fluctuate due to demographic, economic, social, or market condition variables. This study seeks to investigate the significance of these external variables and produce a predictive model for residential construction demand using ElasticNet regression. Adopting New Zealand as a case study and leveraging datasets from Statistics New Zealand, this research identifies key demographic, economic, and market factors influencing four building categories: retirement villages, apartments, multiunit developments, and standalone houses. The research results indicate that age groups, particularly the 20−39 and 65+ age groups, and economic indicators, such as the house price index and unemployment rates, have high prediction powers. The models showed high accuracy for some categories, with R² values exceeding 0.87 for retirement villages and 0.91 for multi-units. Challenges were encountered with standalone houses and apartments due to residual variance. The research findings highlight the importance of targeted urban planning and policy adjustments to satisfy the requirements of specific age groups, address housing affordability and demographic shifts, and cater to prevailing market conditions. This research provides practical insights and guidance for urban planners, public housing agencies, residential developers, and residential contractors while offering a robust methodological framework for predictive modelling in the construction sector. Full article

Accurate measurement of sedentary behaviour in older adults is informative and relevant. Yet, activities such as sitting are not accurately distinguished from non-sedentary activities (e.g., upright activities), especially in real-world conditions. This study examines the accuracy of a novel algorithm to identify sitting, lying, and upright activities in community-dwelling older people in real-world conditions. Eighteen older adults wore a single triaxial accelerometer with an onboard triaxial gyroscope on their lower back and performed a range of scripted and non-scripted activities in their homes/retirement villages whilst being videoed. A novel algorithm was developed to identify sitting, lying, and upright activities. The algorithm’s sensitivity, specificity, positive predictive value, and negative predictive value for identifying scripted sitting activities ranged from 76.9% to 94.8%. For scripted lying activities: 70.4% to 95.7%. For scripted upright activities: 75.9% to 93.1%. For non-scripted sitting activities: 92.3% to 99.5%. No non-scripted lying activities were captured. For non-scripted upright activities: 94.3% to 99.5%. The algorithm could, at worst, overestimate or underestimate sedentary behaviour bouts by ±40 s, which is within a 5% error for sedentary behaviour bouts. These results indicate good to excellent agreement for the novel algorithm, providing a valid measure of sedentary behaviour in community-dwelling older adults. Full article

Intergenerational programs are devoted to bringing older adults and children together because of their mutual benefits for both parties, such as reduction of ageism, relationship building, and shared learning. This intergenerational practice program included high school children and residents at an over-55 retirement village. The aim of this study was to develop an intergenerational shared learning program during COVID-19 using a hybrid model of face-to-face and videoconferencing technology. As a result of video analysis, researchers observed participant interactions and engagement during face-to-face and video conferencing sessions. The findings highlight the importance of a program structure that adapts to the changing environment and recognises that different settings (video and face-to-face) require different relationship-building activities. In addition, co-collaboration in the development of the program structure was essential to facilitate shared learnings. Full article

This article discusses the use of an arts-based visual methodology, drawing, to explore older people’s experiences and expectations of ageing in a retirement village. Tactile, generative, and visual, drawing is a quick, inexpensive, and extremely participatory process, which, compared to traditional text-based data, provides rare and compelling insight into conscious and unconscious feelings, emotions, sentiments, and experiences. As part of a broader project exploring life in retirement villages, 12 older adults in their 70s and 80s were asked to sketch their experiences of ageing, as well as their expectations and experiences of retirement village life. Sketches were analysed using reflexive thematic analysis, which revealed that participants drew ageing as both a time for opportunity and enjoyment and decline, while retirement village life very much met their expectations in terms of being a place of fun, friendship, and leisure. While drawing as a method is rarely used in gerontological research, the outcomes of this project demonstrate how it enables the powerful production of evocative, interactive, and memorable imagery, and it should be a greater part of the methodological toolbox. Full article

How fishermen produce and live has been a hot topic of academic concern in recent years. However, existing research has focused excessively on marine fishermen. Inland fisheries make a significant but often overlooked contribution to rural livelihoods in developing countries. In this paper, we constructed a framework for fishermen’s livelihood strategies and used questionnaires and in-depth interviews to study 275 households of inland fishermen in a professional fishing village at Poyang Lake. The results show that (1) the impact of the comprehensive fishing ban has led to significant changes in the livelihood capital of inland fishermen, leading to fishermen being forced to change their livelihood strategies. (2) The current livelihood strategies can be divided into four categories, which are non-fishing employment, self-employment, public welfare positions and retirement respectively. (3) Livelihood capital such as age, education, social interaction and fishing rights influence their choice of livelihood strategies. (4) The fishing ban proposal generally meets the interests of fishermen, but there is some capacity for improvement in terms of implementation details and policy flexibility. Based on these findings, we recommend that the government conducts further in-depth research and adjusts and improves its policy options in good time. To the satisfaction of all parties, the current policy protects the environment and achieves sustainable human development, making Chinese contributions and proposing Chinese plans to address global environmental change. Full article

The aim of this study was to provide necessary agricultural extension support while carrying out agricultural activities by revealing the production patterns and farmer profiles in the villages of the Kartepe district of the Kocaeli province. The farmers registered in the Farmer Registration System (FRS) were taken into account. A total of 260 farmers participated in a two-month study, answering a questionnaire during face-to-face interviews, and the data obtained were evaluated through performing statistical analyses. The data were interpreted by applying frequency tables and the Kruskal-Wallis test. A total of 89.6% of the farmers are male, 10.4% are female, 40.8% are 56 years old and over, and 34.6% are between 45 and 55 years old. In terms of education levels, 61.9%, the highest proportion, graduated from primary school, followed by 15.8% who graduated from secondary and high schools, those who graduated from university with a Bachelor/Associate Degree, and, finally, those who graduated with a postgraduate degree as well as those who are illiterate. A total of 69.2% of the farmers are retired, and 24.7% are workers. The land of 68.8% of the respondents is their own property, and the land of 11.9% of them is common land. This land ranges as follows: 32.7% consists of 1–10 acres and 11–20 acres, and 17.3% consists of 21–30 acres. More than half of the participants (51.9%) produce 4 tons or more of their product annually. The social security coverage of the respondents is as follows: 42.7% SSK, 21.2% Bagkur, and 16.5% Pension Fund. The analyses show that the differences in terms of occupation, land size, property status, number of workers and worker status, social security, the fight against diseases and pests, and the relationships between them are important. Full article

Communal living for older people exists in many different forms, such as suburban communities, lifestyle communities, retirement villages and residential aged care communities (RAC) where electricity is supplied via a main gate meter to the whole community. Australia’s Small-scale Renewable Energy Scheme incentivizes individuals and businesses to install renewable energy systems up to 100 kW peak. A system of this size, however, may not meet a community’s energy needs or sustainability goals. In contrast, other residential dwellings are allowed to install a minimum solar inverter of 5 kW. Therefore, this paper investigates small-scale renewable energy targets on a per bed basis for RACs and the impact of a change from the current 100 kW peak small-scale renewable energy policy. A data driven clustering-based method has been implemented to identify financially optimal photovoltaic (PV) system ratings for ten RACs across four climate zones. Explored are 100 kW peak PV and net zero electricity scenarios. Results show RACs with 5 kW PV per bed can move closer to a net zero electricity goal and generate 800 to 1400 GWh of renewable electricity each year with significant financial savings. A fairer renewable policy, based on kilowatts per bed, is advocated to improve communities’ energy resilience, financial sustainability, and environmental sustainability. Full article

Aim: Healthy cognition-related factors include alcohol consumption, depressive symptoms, and sleep duration. However, less is known about the role of these factors in the dyad or tripartite relationships. In this study, we examined whether there were potential mediation effects, moderation effects, and interactions between these factors in the longitudinal study. Methods: Both cross-sectional data analysis and a longitudinal study were performed using baseline and 2018 data from the China Health and Retirement Longitudinal Study (CHARLS) cohort. CHARLS is a nationwide survey program covering 450 villages and 150 counties in 28 provinces that aims to investigate comprehensive demographic information. After selecting participants from the CHARLS cohort, 15,414 were included in the study. Non-drinkers, those who drink more than once a month, and those who drink less than once a month were defined by their alcohol consumption. Depressive symptoms were defined as nondepressed (less than or equal to 12) and depressed (more than 12). Sleep duration was defined as 7–8 h per night, ≤6 h per night, and ≥9 h per night. The total cognitive scores were calculated from memory, orientation, and executive tests. The PROCESS macro in SPSS was used to analyze all mediations and moderating mediations. Results: Alcohol consumption has a positive correlation with cognition. The global cognition z scores of participants with depressive symptoms were significantly lower than those of the control (all p’s < 0.001), in different models. The memory score (β: −0.148; 95% CI: −0.240 to −0.056; p = 0.002), the executive score (β: −0.082; 95% CI: −0.157 to −0.006; p = 0.033), and the global cognition score (β: −0.105; 95% CI: −0.187 to −0.023; p = 0.012) of participants defined as ≤6 h per night were, obviously, less than the control (7–8 h per night). An association between depression and alcohol consumption has been found, and the protective effects have been reversed by depression, which caused the cognition decline. Sleep duration was identified as a moderator, influencing the relationship between depressive symptoms and cognitive function. Besides, there was an interaction causing cognition decline among alcohol consumption, depressive symptoms, and sleep duration. Cognitive function showed a marked downward trend with increasing age. Conclusions: In this model, depression primarily mediates the relationship between alcohol consumption and cognition, and sleep duration changes the mediation effect. Furthermore, there is a significant interaction between alcohol consumption, depressive symptoms, and sleep duration, which are significantly associated with cognitive function. Full article

The nature of the increasingly ageing populations of developed countries places residential issues of these populations at the heart of urban policy. Retirement villages as housing options for older adults in Australia has been growing steadily in recent years; however, there have been a dearth of geographical studies looking into the distribution of existing retirement villages at the regional level. This study aims to reveal the geographical distributions and cluster patterns of retirement villages in the Greater Brisbane Region of Australia to better understand and serve the living requirements of current and potential retirement village residents. The geovisualization method was adopted to visually explore the distribution patterns of retirement villages. The Global Moran’s I and Local Moran’s I measures were employed to analyze the spatial correlation and the clusters of retirement villages in the study region. The study revealed that distribution of retirement villages was not random (z-score = 7.11; p < 0.001), but clustered in nature and included hotspot patterns, especially along the coastline and Brisbane River areas. Moreover, for-profit and not-for-profit retirement villages have different distribution patterns and adopted significantly different tenure agreements. In the study region, the spatial distribution of retirement villages aligns with the aggregation trend of older residents. The findings of this study disclosed the spatial distribution patterns of retirement villages and will provide developers and policymakers with geographically referenced data for the choice of new development sites to meet the market demand of potential customers, forming aged-friendly development strategies, and eventually leading to improved quality of life for older Australians. Full article

The rapid growth of the ageing population has increased the attention paid towards the provision of retirement village (RV). RV is a new form of housing on the ageing landscape that provides a full range of care from independent to assisted living to meet the diverse needs of the elderly. Numerous studies conducted in the past examined factors that influence elderly intention to relocate to the RV and the intention to adopt the smart home technology. The current study focused on the intention of elderly to relocate to the smart retirement village (SRV) (i.e., RV with the smart home technology). A customer-driven open innovation survey was conducted to solicit opinions from the elderlies. This paper applied the Theory of Planned Behavior to examine such intention among the elderly in Malaysia. The types of smart home technology preferred by the elderly at the SRV were determined. The results from the multiple regression analysis (N = 305) indicated that attitudes, social norm, and perceived behavioural control contributed significantly to the elderly intention to relocate to the SRV. Further investigation revealed that 83% of the elderly choose the smart emergency contact system as the most important smart home technology to be included. Full article

The proportion of the elderly in Taiwan’s population has been increasing in recent years. In the context of ageing and a low birth rate, retirement care for the elderly has become a serious challenge but remains underresearched. Choosing a retirement community that meets the needs of the elderly by considering their health and leisure activities and providing housing has become an important ageing-related topic. Therefore, this study aims to investigate whether the living intention of the elderly when choosing a retirement community is affected by brand attachment, high partner quality, brand trust and commitment, and brand self-congruence. A living intention service model is proposed and an empirical study is conducted with 101 random residents of Chang Gung Health and Culture Village (CGHCV) to measure the constructs proposed in the model. The results show that self-congruence and partner quality did not have a significant impact on the elderly’s brand trust and commitment, likely because when choosing their last residence, unlike when buying general consumer products, the elderly attach more importance to healthcare brands, which in turn affects their living intention. Full article

Background: This study aims to examine the impact of individual-level and community-based factors on popular social participation activities of Chinese middle-aged and older adults post-stroke. Methods: Sub-samples of survivors of stroke (2011: n = 413, 2013: n = 395, 2015: n = 441) recruited by the China Health and Retirement Longitudinal Study (CHARLS) were included in the analysis. Zero-inflated Poisson and multi-level logistic regression models were used to explore factors associated with social participation. Results: More than half of individuals (55.0%) had no social participation and 23.4% participated in multiple social activities. The most popular social activities that individuals participated in were interacting with friends (32.6%) and going to a community club to play table games (22.7%). Multiple individual-level factors were negatively related to social participation (e.g., depressive symptoms and multiple measures of functional limitations) while the allocation of an outdoor exercise facility in the community/village was positively associated with the participation of going to a community club to play table games. Conclusion: Stroke survivors are at high risk of limited social participation. Policymakers and other key stakeholders should consider community design among other potential solutions when identifying ways to link at-risk stroke survivors to both opportunities for rehabilitation (e.g., physical function) and social participation. Full article

Over the last two decades, the residential building sector has been one of the largest energy consumption sectors in New Zealand. The relationship between that sector and household energy consumption should be carefully studied in order to optimize the energy consumption structure and satisfy energy demands. Researchers have made efforts in this field; however, few have concentrated on the association between household energy use and the cost of residential buildings. This study examined the correlation between household energy use and residential building cost. Analysis of the data indicates that they are significantly correlated. Hence, this study proposes time series methods, including the exponential smoothing method and the autoregressive integrated moving average (ARIMA) model for forecasting residential building costs of five categories of residential buildings (one-storey house, two-storey house, townhouse, residential apartment and retirement village building) in New Zealand. Moreover, the artificial neutral networks (ANNs) model was used to forecast the future usage of three types of household energy (electricity, gas and petrol) using the residential building costs. The t-test was used to validate the effectiveness of the obtained ANN models. The results indicate that the ANN models can generate acceptable forecasts. The primary contributions of this paper are twofold: (1) Identify the close correlation between household energy use and residential building costs; (2) provide a new clue for optimizing energy management. Full article