Social participation is crucial for enhancing senior’s well-being and promoting their integration into society. Using nationwide data investigated in China, this study explored the association between self-reported visual impairment, health level, and social participation among Chinese middle-aged old adults. It has been found that (a) the probability and frequency of social participation among middle-aged and older adults with self-reported vision loss were significantly lower than those without vision problems; (b) self-reported vision loss was negatively associated with self-rated health and mental health status, and both were positively associated with social participation; and (c) self-rated health and mental health played a mediating role between vision loss and social participation. The findings suggest that under the framework of active aging, universal vision screening programs and rehabilitation plans for the older adults with visual impairment are exceedingly significant to promote their participation in social activities, thereby enhancing their quality of life.

Where climate change and population aging intersect, challenges and opportunities for society arise. While older adults are uniquely vulnerable to the effects of climate change, they can also significantly contribute to climate action and environmental sustainability [1]. 'Green Longevity' is a new framework that integrates sustainable green lifestyles with healthy aging. Green longevity highlights the importance of increasing climate resilience in older adults through infrastructure that supports them in adapting their behaviors. The framework aligns with public health strategies that promote environmentally friendly longevity and it establishes the vital role older adults can play in community climate adaptation [2, 3]. Exploring practical strategies for implementing this framework is crucial if we want to promote wellbeing in older adults as the climate is rapidly changing.Older adults are physiologically, socio-economically, and psychologically vulnerable to climate changes, and so interventions must be comprehensive and targeted. Climate change exacerbates existing health issues, particularly through extreme weather events like heatwaves and cold snaps, which aggravate chronic conditions and raise mortality rates [3]. Climate change also poses risks to the mental wellbeing and social integration of older adults [4]. Many older adults are already isolated, and extreme weather conditions can limit their access to emergency services and community support. Older adults may also suffer psychological stress from climate-related disruptions; for example, displacement or loss from natural disasters disproportionately harms older adults, exacerbating their feelings of isolation and anxiety [5]. Older adults may also be limited by socio-economic constraints that hinder their ability to recover from climate events, deepen their vulnerability and reduce their overall resilience. Interventions must thus be multifaceted approach, encompassing health monitoring, community support, and improving infrastructure [6].Several promising strategies for increasing climate resilience in older adults warrant our consideration. Among these, urban greening and wellness tourism stand out, since they address both environmental and social needs. Urban green zones have mitigated the effects of urban heat islands. Heat islands disproportionately affect older adults [7] and, along with other urban environmental characteristics, may significantly reduce their mental health [8]. Strategically placing green roofs and community gardens to reduce urban heat islands may cool the environment and increase accessible areas in which older adults can be more physical activity and interact socially, both of which are vital to mental and physical [5]. Wellness tourism is now a burgeoning market in many areas of the world [9]. While developing specialized wellness facilities for climate tourists and integrating green spaces integrated into the design could address health needs of older adults, may benefit some older climate-migrants seeking climate refuge. However, this solution would be complicated to fairly implement, such services are not affordable for all older adults, and may lead to increased housing costs and reduced access to services for older residents in climate-desirable locations.Integrated solutions can make urban areas more livable for older adults and they align with broader public health goals to support aging populations in locations vulnerable to climate change. A complementary strategy is to engage older adults in both individual and collective climate action. In the Anthropocene where human demands shape emissions patterns, aging is transforming economic structures and consumption patterns. While industrial activities serving human needs are recognized as the primary driver of increased carbon emissions, residents across societies at varying development stages have not achieved their common but differentiated responsibilities. Therefore, engaging older adults in climate action, particularly in high-consumption countries where higher contributions are expected, could catalyze broader green transitions while enhancing their own resilience. Climate action extends beyond micro-level practices like using energy-efficient appliances, prioritizing public transport or walking, and supporting local, sustainable food sources. Collective climate actions by older adults are crucial, as they often lack voice in climate response despite their vulnerability. The dual approach of combining supportive environments with active collective engagement, addresses climate vulnerability in older populations by improving their health outcomes and reducing environmental impacts, enabling them to become exemplars of sustainable living while encouraging broader societal shifts toward greener practices.Green Longevity is a transformative approach that integrates climate resilience into healthy aging, addressing the multidimensional vulnerabilities of older adults while activating their agency in climate action. Climate change's causality and attribution are key issues in climate litigation, but these are often complex, as demonstrated by the KlimaSeniorinnen case [10]. Governments have an undeniable responsibility to protect vulnerable populations from the impacts of climate change. Additionally, differential impacts (such as those related to gender, socioeconomic status, etc.) should be considered in any approach to Green Longevity, ensuring that strategies are inclusive and equitable. Coordinated efforts—such as age-sensitive environmental initiatives, integrating climate resilience into geriatric care, and encouraging active participation in stewardship—will establish a foundation for achieving sustainable and healthy aging in an era of climate change.

The old-age dependency ratio (ODR) is an important indicator reflecting the degree of a regional population’s aging. In the context of aging, this study provides a timely and effective method for predicting the ODR in Chinese cities. Using the provincial ODR from the Seventh National Population Census and Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data, this study aims to predict and analyze the spatial correlation of the municipal ODR in Chinese cities. First, the prediction model of the ODR was established with curve regression. Second, the spatial structure of the municipal ODR was investigated using the Moran’s I method. The experimental results show the following: (1) the correlation between the sum of the nighttime light and ODR is greater than the mean of nighttime light in the study areas; (2) the Sigmoid model fits better than other regression models using the provincial ODR in the past ten years; and (3) there exists an obvious spatial agglomeration and dependence on the municipal ODR. The findings indicate that it is reasonable to use nighttime light data to predict the municipal ODR in large and medium-sized cities. Our approach can provide support for future regional censuses and spatial simulations.

In global aging, the application of information technology (IT) shows its potential to improve the quality of life of older adults and promote active aging. However, there is still an unbridgeable digital divide among citizens that prevents them from benefiting from IT. It is necessary to maximize the realization of active aging, bridge the digital divide, and provide IT training for older adults. Using a bibliometric analysis method and CiteSpace visualization analysis, we investigated the development status and trend of IT training research for older adults. Few research achievements were observed in this field, although the publication level become better. The cooperation of relevant research institutions is loose, and research topics are relatively concentrated on three aspects: physical health, mental health, and evaluation. In general, there is room for development, and researchers need to cooperate widely on research.

Alzheimer’s disease (AD) has traditionally been approached through a biomedical lens, focusing on neurodegenerative markers such as amyloid-β plaques and tau protein accumulation. However, clinical evidence increasingly demonstrates that social dysfunction, which includes identity confusion, emotional withdrawal, and breakdowns in social roles. This article reconceptualizes AD as a disorder in which the primary dimension of decline lies in social relationship management capacity (SRMC), while recognizing that neurobiological and cognitive deterioration remain integral to its manifestation and progression. SRMC refers to a person’s ability to identify, interpret, maintain, and regulate social ties embedded in complex networks. This article introduces a conceptual and technical framework for a socially embedded artificial intelligence (AI) framework designed to recognize and compensate for the deterioration of SRMC in AD. Drawing on social capital theory, affective computing, and neural social cognition research, this framework proposes a four-dimensional intervention model: relationship recognition, relationship learning, relationship establishment, and relationship management. By aligning cutting-edge AI techniques with the lived social reality of individuals with AD, this approach not only provides a new path for supportive care but also reorients ethical and technological discourse toward sustaining social personhood in the face of neurodegeneration.