Keyword search (4,163 papers available)

"social network" Keyword-tagged Publications:

Title Authors PubMed ID
1 Psychosocial Function in Mild Cognitive Impairment: Social Participation is Associated With Cognitive Performance in Multiple Domains Rehan S; Phillips NA; 39773214
CONCORDIA
2 Social network dynamics, infant loss, and gut microbiota composition in female Colobus vellerosus during time periods with alpha male challenges Samartino S; Christie D; Penna A; Sicotte P; Ting N; Wikberg E; 38735025
BIOLOGY
3 The role of frailty in the relationships between social relationships and health outcomes: a longitudinal study Fereshteh Mehrabi 38402184
PSYCHOLOGY
4 Cancer Survivors' Evolving Perceptions of a New Supportive Virtual Program Robb A; Brown TL; Durand A; Loiselle CG; 36354724
PSYCHOLOGY
5 Celebrity Couples as Business Families: A Social Network Perspective Gorji Y; Carney M; Prakash R; 34931108
CONCORDIA
6 Personal Social Networks and Adiposity in Adolescents: A Feasibility Study Ybarra M; Barnett TA; Yu J; Van Hulst A; Drouin O; Kakinami L; Saint-Charles J; Henderson M; 34264758
MATHSTATS
7 What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Coping with COVID-19 Using the Media Repertoire Framework and the Appraisal Theory of Stress Pahayahay A; Khalili-Mahani N; 32701459
PERFORM
8 Maternal Knowing and Social Networks: Understanding First-Time Mothers' Search for Information and Support Through Online and Offline Social Networks. Price SL, Aston M, Monaghan J, Sim M, Tomblin Murphy G, Etowa J, Pickles M, Hunter A, Little V 29281945
CONCORDIA
9 To Each Stress Its Own Screen: A Cross-Sectional Survey of the Patterns of Stress and Various Screen Uses in Relation to Self-Admitted Screen Addiction Khalili-Mahani N; Smyrnova A; Kakinami L; 30938685
PERFORM

 

Title:Personal Social Networks and Adiposity in Adolescents: A Feasibility Study
Authors:Ybarra MBarnett TAYu JVan Hulst ADrouin OKakinami LSaint-Charles JHenderson M
Link:https://pubmed.ncbi.nlm.nih.gov/34264758/
DOI:10.1089/chi.2020.0343
Publication:Childhood obesity (Print)
Keywords:adolescentsphysical activitysocial network analysissocial supportweight status
PMID:34264758 Category: Date Added:2021-07-15
Dept Affiliation: MATHSTATS
1 Research Center of Sainte Justine University Hospital, Université de Montréal, Montréal, Québec, Canada.
2 Department of Family Medicine, McGill University, Montréal, Québec, Canada.
3 Epidemiology and Biostatistics Unit, Center Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique, Université du Québec, Laval, Québec, Canada.
4 Ingram School of Nursing, McGill University, Montreal, Québec, Canada.
5 Department of Pediatrics, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada.
6 Department of Mathematics and Statistics, Concordia University, Montreal, Québec, Canada.
7 Institut Santé et Société, Université du Québec à Montréal, Montréal, Québec, Canada.
8 Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montréal, Québec, Canada.

Description:

i>Background and Objective: Weight-related behaviors are determined by multiple individual and contextual factors, with recent evidence implicating personal social networks (PSNs). Greater understanding of these relationships could help inform healthy weight promoting interventions. We conducted a feasibility study among youth at risk of obesity to document process outcomes, to discern relationships between PSN features and weight-related behaviors, and to generate hypotheses with respect to perceived social support (SS) and sex. Methods: Participants (egos) nominated up to 10 people (alters) with whom they discussed important matters. Egos reported their own and each alter's age, sex, body shape, lifestyle behaviors, relation, frequency of exercising with each alter, and of being encouraged by each alter to exercise. We examined relationships between PSN features and weight-related outcomes and explored the role of SS, using both correlational and linear regression analyses. Results: There were 45 participants (mean age 16.4 years) and body mass index z-score (zBMI) ranged from -1.2 to 3.9. There were few missing responses to PSN items; broad variation across most items, including SS scores, was reported. Correlations pointed to plausible relationships implicating PSN features and lifestyle behaviors. In exploratory analyses, network-based SS was positively associated with adiposity in girls and negatively associated in boys, while lifestyle role modelling was not associated with adiposity. Conclusions: Our findings support the feasibility of measuring the PSN in youth and the potential for using social network analysis to investigate social and behavioral mechanisms associated with obesity.





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