Increasing research highlights heterogeneity in patterns of social network change, with growing evidence that these patterns are shaped in part by social structure. The role of social and structural neighborhood conditions in the addition and loss of kin and non-kin network members, however, has not been fully considered. In this paper, we argue that the residential neighborhood context can either facilitate or prevent the turnover of core network relationships in later life - a period of the life course characterized by heightened reliance on network ties and vulnerability to neighborhood conditions. Using longitudinal data from the National Social Life, Health, and Aging Project linked with data from the American Community Survey, we find that higher levels of neighborhood concentrated disadvantage are associated with the loss of older adults' kin and non-kin network members over time. Higher levels of perceived neighborhood social interaction, however, are associated with higher rates of adding non-kin network members and lower rates of adding kin network members over time. We suggest that neighborhood conditions, including older adults' perceptions of neighborhood social life, represent an underexplored influence on kin and non-kin social network dynamics, which could have implications for access to social resources later in the life course.
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http://dx.doi.org/10.1016/j.socnet.2023.01.003 | DOI Listing |
Nat Genet
January 2025
Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Identifying gene expression differences in heterogeneous tissues across conditions is a fundamental biological task, enabled by multi-condition single-cell RNA sequencing (RNA-seq). Current data analysis approaches divide the constituent cells into clusters meant to represent cell types, but such discrete categorization tends to be an unsatisfactory model of the underlying biology. Here, we introduce latent embedding multivariate regression (LEMUR), a model that operates without, or before, commitment to discrete categorization.
View Article and Find Full Text PDFInt J Behav Med
January 2025
Department of Psychology, Georgia State University, 140 Decatur Street, Suite 1150 Urban Life Building, Atlanta, GA, 30303, USA.
Background: This study aimed to examine the impact of neighborhood conditions and household material hardship experiences on young adult health outcomes, while also considering financial autonomy as a critical determinant of health.
Method: We employed a cross-sectional observational design with a diverse sample of young adults from a large urban university. Structural equation modeling was used to analyze the relationships between neighborhood conditions and material hardship with health outcomes by financial autonomy.
Alzheimers Dement
December 2024
University of Southern California, Los Angeles, CA, USA.
Background: Optimal cerebral blood flow is crucial to maintaining cognitive function. Cerebrovascular reactivity (CVR) is a dynamic measure of cerebrovascular function which represents the ability of cerebral blood vessels to regulate blood flow in response to vasoactive stimuli. Prior studies have demonstrated an association between impaired CVR and cognitive function in cerebrovascular and neurodegenerative conditions, including cerebral amyloid angiopathy and Alzheimer disease.
View Article and Find Full Text PDFBackground: Fall-related mild traumatic brain injuries (mTBI) are prevalent among older adults and are a predictor of dementia. Delays in diagnoses lead to prolonged symptoms and impairments. Dual-task posture may be more sensitive to detecting impairments compared to single-task posture, but research is limited.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Brunel University London, London, United Kingdom.
Background: Apathy and mood symptoms are increasingly recognised as clinical important aspects of prodromal dementia; both are associated with increased risk of dementia even in cognitively normal people. The clinical overlap between apathy and low mood poses a challenge in distinguishing between the two conditions. It is crucial to differentiate between depression and apathy, along with any underlying syndromes, to facilitate the development of targeted treatments.
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