Objectives This scoping review aimed to examine the impact of climate change on the health of older adults and to evaluate existing interventions targeting this population. Methods: The review followed Arksey and O’Malley’s framework and the PRISMA-ScR guidelines. A comprehensive search was conducted across PubMed, Google Scholar, Scopus, and Web of Science. Eligible studies included those focusing on adults aged 60 years and older that examined the physical and mental health impacts of climate change across any geographic setting or level of care. Descriptive and thematic analyses were performed to identify key findings and knowledge gaps. Results: Climate change adversely affects the physical and mental health of older adults through increased exposure to infectious diseases, extreme temperatures, and poor air and water quality. Older adults are particularly vulnerable to heat-related illnesses, cardiovascular events, and respiratory conditions, with women and individuals with comorbidities at higher risk. Climate change is also associated with increased anxiety, insomnia, and other mental health concerns in this population. Social support and targeted interventions—such as community awareness programs and subsidized cooling costs—are associated with reduced risk. Community-based initiatives have demonstrated potential in reducing mortality and enhancing resilience among older adults during extreme weather events. Conclusion: Healthcare professionals should be educated about climate-related health outcomes affecting older adults. Protecting this vulnerable population requires urgent, inclusive, and targeted strategies, including education, improved healthcare access, and tailored interventions.
Objectives
Metabolic dysfunction is a common hallmark of the aging process and aging-related pathogenesis. Blood metabolites have been used as biomarkers for many diseases, including cancers, complex chronic diseases, and neurodegenerative diseases. Methods
In order to identify aging-related biomarkers from blood metabolites, we investigated the specific metabolite profiles of mouse sera from 4-month-old and 21-month-old mice by using a combined flow injection analysis–tandem mass spectrometry and liquid chromatography–tandem mass spectrometry. Results
Among the 156 metabolites detected, serum levels of nine individual metabolites were found to vary with aging. Specifically, lysophosphatidylcholine (LPC) acyl (a) C24:0 levels in aged mice were decreased compared to that in young mice, whereas phosphatidylcholine (PC) acyl-alkyl (ae) C38:4, PC ae C40:4, and PC ae C42:1 levels were increased. Three classes of metabolites (amino acids, LPCs, and PCs) differed in intraclass correlation patterns of the individual metabolites between sera from young and aged mice. Additionally, the ratio of LPC a C24:0 to PC ae C38:4 was decreased in the aged mice, whereas the ratio of PC ae C40:4 to LPC a C24:0 was increased, supporting the aging-related metabolic changes of glycerophospholipids. Conclusion
The ratios of the individual metabolites PC and LPC could serve as potential biomarkers for aging and aging-related diseases.
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