Background: The loss of autonomy at advanced ages is not only associated with ageing, but also with the characteristics of the physical and social environment. Recent investigations have shown that social networks, social engagement and participation act like predictors of disability among the elderly. To analyze the effect of social networks on the level of autonomy (instrumental and basic disability) at initial stages of the old age.
Methods: The source of data is the first wave of the survey 'Processes of Vulnerability among Spanish Elderly', carried out in 2005 to a sample of 1,250 individuals? with the later purification of the data, it was in a size final sample of 1.244 individuals? The population object of study is the cohort aged 70 to 74 years in metropolitan areas (Madrid and Barcelona) and not institutionalized. Disability is measured by the development of basic activities of daily life (ADL), and instrumental activities of daily life (IADL). The structural aspects of the social relationships are measured through the diversity of social networks and participation, for which a global indicator of social network diversity was built.
Results: For each unit that diminishes the indicator of social network diversity, the probability of suffering an instrumental disability? in front of not suffering any disability? is multiplied by 0.97 (IC95% 0.95 - 0.99), and the probability of suffering a basic disability is multiplied by 0.91 (IC95% 0.87 - 0.94).
Discussion: Like in other geographic scopes, a statistically significant relationship exists between the indicator of diversity of social network used and the disability, in its two levels of graveness. Therefore, the diversity of the social network seems to show a protective effect in front of the disability among the Spanish urban population at the beginning of the age.
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http://dx.doi.org/10.1590/s1135-57272008000600005 | DOI Listing |
AIDS Care
January 2025
Faculty of Social Work, University of Manitoba, Winnipeg, Canada.
This study explored the challenges faced by, and resilience of First Nations, Métis, and Inuit women living with HIV in Manitoba and Saskatchewan during the COVID-19 pandemic. Through a decolonizing, community-based research approach, guided by a Community Guiding Circle (CGC), interviews were conducted with 45 Indigenous women living with HIV. Participants were recruited via community outreach, peer networks, and social media.
View Article and Find Full Text PDFBiol Aujourdhui
January 2025
UMR CNRS-UniCaen-MNHN-SU-UA-IRD BOREA, Biologie des Organismes et des Écosystèmes Aquatiques, Université de Caen-Normandie, CS 14032, 14000 Caen, France - France Énergies Marines, 53 rue de Prony, 76600 Le Havre, France.
In the anthropocene era, one of the greatest challenges facing trophic modeling applied to the marine environment is its ability to couple the multiple effects of both climate change and local anthropogenic activities, notably the development of offshore wind farms. The major challenge is to create scenarios to characterize their cumulative effects on the functioning of the entire socio-ecological system, in order to propose appropriate management plans. Although modeling cumulative impact on socio-ecological networks is not yet widely used, data reported in the present review article show that the relevance of this approach could be established in the context of offshore wind power.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
January 2025
Department of Medicine, Health, and Society, Vanderbilt University, Nashville, Tennessee, USA.
Objectives: Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) older adults have varied experiences with faith communities, ranging from affirmation to religious trauma. We investigate how faith community rejection impacts social support and health outcomes among LGBTQ+ older adults in the Southern United States.
Methods: We analyze Wave 1 data from the LGBTQ+ Social Networks, Aging, and Policy Study (QSNAPS), collected between April 2020 and September 2021.
Bayesian Anal
June 2024
Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
The exponential random graph model (ERGM) is a popular model for social networks, which is known to have an intractable likelihood function. Sampling from the posterior for such a model is a long-standing problem in statistical research. We analyze the performance of the stochastic gradient Langevin dynamics (SGLD) algorithm (also known as noisy Longevin Monte Carlo) in tackling this problem, where the stochastic gradient is calculated via running a short Markov chain (the so-called inner Markov chain in this paper) at each iteration.
View Article and Find Full Text PDFDisaster Med Public Health Prep
January 2025
Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul, South Korea.
Objective: Disasters often have long-lasting effects on the mental health of people affected by them. This study aimed to examine the trajectories and predictors of mental health in people affected by disasters according to their income level.
Method: This study used data from the "Long-Term Survey on the Change of Life of Disaster Victim" conducted by the National Disaster Management Research Institute.
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