The present paper deals with the effect of the social transmission of nutrition habits in a social and biological age-dependent context on obesity, and accordingly on type II diabetes and among its complications, the neurodegenerative diseases. The evolution of social networks and inside a network the healthy weight of a person are depending on the context in which this person has contacts and exchanges concerning his alimentation, physical activity and sedentary habits, inside the dominant social network in which the person lives (e.g., scholar for young, professional for adult, home or institution for elderly people). Three successive steps of evolution will be considered for social networks (like for neural one's): initial random connectivity, destruction and consolidation of links following a new transition rule called homophilic until an asymptotic architectural organization and configuration of states. The application of such a network dynamics concerns the sequence overweight/obesity/type II diabetes and neurodegenerative diseases.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s10522-014-9542-z | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Systemic inequities and sources of resilience: challenges faced by Indigenous women living with HIV during COVID-19 in the Canadian prairies.
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 PDF[Marine trophic and socio-ecological networks under pressure: study of the cumulative impact of climate change and offshore wind farm development].
Biol 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 PDFAssociations of Faith Community Rejection with Social Support and Health Outcomes among LGBTQ+ Older Adults.
J 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 Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo.
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 PDFTrajectories and Influencing Factors of Post-Traumatic Stress in Disaster-Affected People According to Their Income Level: A Longitudinal Study in South Korea.
Disaster 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.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!