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Identification of direct and indirect social network effects in the pathophysiology of insulin resistance in obese human subjects
- Source :
- PLoS ONE, PLoS ONE, Vol 9, Iss 4, p e93860 (2014)
- Publication Year :
- 2015
- Publisher :
- Georg Thieme Verlag KG, 2015.
-
Abstract
- Objective The aim of the present study was to examine to what extent different social network mechanisms are involved in the pathogenesis of obesity and insulin-resistance. Design We used nonparametric and parametric regression models to analyse whether individual BMI and HOMA-IR are determined by social network characteristics. Subjects and Methods A total of 677 probands (EGO) and 3033 social network partners (ALTER) were included in the study. Data gathered from the probands include anthropometric measures, HOMA-IR index, health attitudes, behavioural and socio-economic variables and social network data. Results We found significant treatment effects for ALTERs frequent dieting (p
- Subjects :
- Male
Physiology
Health Status
Endocrinology, Diabetes and Metabolism
lcsh:Medicine
Social Sciences
Type 2 diabetes
Homophily
Body Mass Index
Endocrinology
Sociology
Medicine and Health Sciences
Public and Occupational Health
lcsh:Science
Multidisciplinary
Anthropometry
General Medicine
Middle Aged
Socioeconomic Aspects of Health
Type 2 Diabetes
Physiological Parameters
Social Networks
Research Design
Physical Sciences
Female
Physical Anthropology
medicine.symptom
Psychology
Network Analysis
Statistics (Mathematics)
Research Article
Dieting
Clinical psychology
Adult
Computer and Information Sciences
medicine.medical_specialty
Clinical Research Design
Research and Analysis Methods
Peer Group
Social support
Insulin resistance
Internal medicine
Diabetes Mellitus
Internal Medicine
medicine
Humans
Obesity
Statistical Methods
Psychiatry
Nutrition
Aged
Diabetic Endocrinology
Social network
business.industry
lcsh:R
Body Weight
Biology and Life Sciences
Social Support
Peer group
medicine.disease
Health Care
Cross-Sectional Studies
Metabolic Disorders
Anthropology
lcsh:Q
Observational study
Insulin Resistance
business
Mathematics
Subjects
Details
- ISSN :
- 14393646 and 09477349
- Volume :
- 122
- Database :
- OpenAIRE
- Journal :
- Experimental and Clinical Endocrinology & Diabetes
- Accession number :
- edsair.doi.dedup.....997fff6606bc0722399d22cc5f40d11f
- Full Text :
- https://doi.org/10.1055/s-0035-1547690