Literature DB >> 27145760

Incident Type 2 Diabetes Risk is Influenced by Obesity and Diabetes in Social Contacts: a Social Network Analysis.

Sridharan Raghavan1,2,3, Mark C Pachucki4, Yuchiao Chang1, Bianca Porneala1, Caroline S Fox5, Josée Dupuis6,7, James B Meigs8.   

Abstract

BACKGROUND: Obesity and diabetes family history are the two strongest risk factors for type 2 diabetes (T2D). Prior work shows that an individual's obesity risk is associated with obesity in social contacts, but whether T2D risk follows similar patterns is unknown.
OBJECTIVE: We aimed to estimate the relationship between obesity or diabetes in an individual's social contacts and his/her T2D risk. We hypothesized that obesity and diabetes in social contacts would increase an individual's T2D risk.
DESIGN: This was a retrospective analysis of the community-based Framingham Offspring Study (FOS). PARTICIPANTS: FOS participants with T2D status, height and weight, and at least one social contact were eligible for this study (n = 4797 at Exam 1). Participants' interpersonal ties, cardiometabolic and demographic variables were available at eight exams from 1971 to 2008, and a T2D additive polygenic risk score was measured at the fifth exam. MAIN MEASURES: Primary exposures were T2D (fasting glucose ≥ 7 mmol/L or taking diabetes medications) and obesity status (BMI ≥ 30 kg/m(2)) of social contacts at a prior exam. Primary outcome was incident T2D in participants. KEY
RESULTS: Incident T2D was associated with having a social contact with diabetes (OR 1.32, p = 0.004) or with obesity (OR 1.21, p = 0.004). In stratified analyses, incident T2D was associated with diabetes in siblings (OR 1.64, p = 0.001) and obesity in spouses (OR 1.54, p = 0.0004). The associations between diabetes and obesity in social contacts and an individual's incident diabetes risk were stronger in individuals with a high diabetes genetic risk score.
CONCLUSIONS: T2D and obesity in social contacts, particularly siblings and spouses, were associated with an individual's risk of incident diabetes even after accounting for parental T2D history. Assessing risk factors in an individual's siblings and spouses can inform T2D risk; furthermore, social network based lifestyle interventions involving spouses and siblings might be a novel T2D prevention approach.

Entities:  

Keywords:  epidemiology; family history; obesity; social network; type 2 diabetes

Mesh:

Year:  2016        PMID: 27145760      PMCID: PMC5023597          DOI: 10.1007/s11606-016-3723-1

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  31 in total

Review 1.  Network interventions.

Authors:  Thomas W Valente
Journal:  Science       Date:  2012-07-06       Impact factor: 47.728

2.  Social network concordance in food choice among spouses, friends, and siblings.

Authors:  Mark A Pachucki; Paul F Jacques; Nicholas A Christakis
Journal:  Am J Public Health       Date:  2011-09-22       Impact factor: 9.308

3.  Lower educational level is a predictor of incident type 2 diabetes in European countries: the EPIC-InterAct study.

Authors:  Carlotta Sacerdote; Fulvio Ricceri; Olov Rolandsson; Ileana Baldi; Maria-Dolores Chirlaque; Edith Feskens; Benedetta Bendinelli; Eva Ardanaz; Larraitz Arriola; Beverley Balkau; Manuela Bergmann; Joline W J Beulens; Heiner Boeing; Françoise Clavel-Chapelon; Francesca Crowe; Blandine de Lauzon-Guillain; Nita Forouhi; Paul W Franks; Valentina Gallo; Carlos Gonzalez; Jytte Halkjær; Anne-Kathrin Illner; Rudolf Kaaks; Timothy Key; Kay-Tee Khaw; Carmen Navarro; Peter M Nilsson; Susanne Oksbjerg Dal Ton; Kim Overvad; Valeria Pala; Domenico Palli; Salvatore Panico; Silvia Polidoro; J Ramón Quirós; Isabelle Romieu; María-José Sánchez; Nadia Slimani; Ivonne Sluijs; Annemieke Spijkerman; Birgit Teucher; Anne Tjønneland; Rosario Tumino; Daphne van der A; Anne-Claire Vergnaud; Patrik Wennberg; Stephen Sharp; Claudia Langenberg; Elio Riboli; Paolo Vineis; Nicholas Wareham
Journal:  Int J Epidemiol       Date:  2012-06-25       Impact factor: 7.196

4.  Minimal social network effects evident in cancer screening behavior.

Authors:  Nancy L Keating; A James O'Malley; Joanne M Murabito; Kirsten P Smith; Nicholas A Christakis
Journal:  Cancer       Date:  2011-01-24       Impact factor: 6.860

Review 5.  Social Relationships and Obesity: Benefits of Incorporating a Lifecourse Perspective.

Authors:  Mark C Pachucki; Elizabeth Goodman
Journal:  Curr Obes Rep       Date:  2015-06

Review 6.  National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants.

Authors:  Goodarz Danaei; Mariel M Finucane; Yuan Lu; Gitanjali M Singh; Melanie J Cowan; Christopher J Paciorek; John K Lin; Farshad Farzadfar; Young-Ho Khang; Gretchen A Stevens; Mayuree Rao; Mohammed K Ali; Leanne M Riley; Carolyn A Robinson; Majid Ezzati
Journal:  Lancet       Date:  2011-06-24       Impact factor: 79.321

7.  Physical inactivity mediates the association between the perceived exercising behavior of social network members and obesity: a cross-sectional study.

Authors:  Janette S Leroux; Spencer Moore; Lucie Richard; Lise Gauvin
Journal:  PLoS One       Date:  2012-10-02       Impact factor: 3.240

8.  Identification of direct and indirect social network effects in the pathophysiology of insulin resistance in obese human subjects.

Authors:  Christian H C A Henning; Nana Zarnekow; Johannes Hedtrich; Sascha Stark; Kathrin Türk; Matthias Laudes
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

9.  Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies.

Authors:  Qibin Qi; Audrey Y Chu; Jae H Kang; Jinyan Huang; Lynda M Rose; Majken K Jensen; Liming Liang; Gary C Curhan; Louis R Pasquale; Janey L Wiggs; Immaculata De Vivo; Andrew T Chan; Hyon K Choi; Rulla M Tamimi; Paul M Ridker; David J Hunter; Walter C Willett; Eric B Rimm; Daniel I Chasman; Frank B Hu; Lu Qi
Journal:  BMJ       Date:  2014-03-19

10.  Polygenic type 2 diabetes prediction at the limit of common variant detection.

Authors:  Jason L Vassy; Marie-France Hivert; Bianca Porneala; Marco Dauriz; Jose C Florez; Josée Dupuis; David S Siscovick; Myriam Fornage; Laura J Rasmussen-Torvik; Claude Bouchard; James B Meigs
Journal:  Diabetes       Date:  2014-02-11       Impact factor: 9.337

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  11 in total

1.  Spousal diabetes status as a risk factor for incident type 2 diabetes: a prospective cohort study and meta-analysis.

Authors:  Duke Appiah; Pamela J Schreiner; Elizabeth Selvin; Ellen W Demerath; James S Pankow
Journal:  Acta Diabetol       Date:  2019-03-19       Impact factor: 4.280

2.  Capsule Commentary on Raghavan et al., Incident Type 2 Diabetes Risk is Influenced by Obesity and Diabetes in Social Contacts: A Social Network Analysis.

Authors:  Namratha R Kandula
Journal:  J Gen Intern Med       Date:  2016-10       Impact factor: 5.128

3.  Converse well-being of locked-in patients and caregivers.

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Journal:  Ann Neurol       Date:  2017-09       Impact factor: 10.422

4.  Spousal cardiometabolic risk factors and incidence of type 2 diabetes: a prospective analysis from the English Longitudinal Study of Ageing.

Authors:  Jannie Nielsen; Adam Hulman; Daniel R Witte
Journal:  Diabetologia       Date:  2018-03-08       Impact factor: 10.122

5.  Triglyceride glucose-waist circumference, a novel and effective predictor of diabetes in first-degree relatives of type 2 diabetes patients: cross-sectional and prospective cohort study.

Authors:  Shuang Zheng; Sheng Shi; Xingxing Ren; Tingting Han; Yangxue Li; Yawen Chen; Wei Liu; Peter C Hou; Yaomin Hu
Journal:  J Transl Med       Date:  2016-09-07       Impact factor: 5.531

6.  Sex differences in the association between spousal metabolic risk factors with incidence of type 2 diabetes: a longitudinal study of the Iranian population.

Authors:  Azra Ramezankhani; Kamran Guity; Fereidoun Azizi; Farzad Hadaegh
Journal:  Biol Sex Differ       Date:  2019-08-22       Impact factor: 5.027

7.  Predictive Effect of Triglyceride Glucose-Related Parameters, Obesity Indices, and Lipid Ratios for Diabetes in a Chinese Population: A Prospective Cohort Study.

Authors:  Xiaotong Li; Mengzi Sun; Yixue Yang; Nan Yao; Shoumeng Yan; Ling Wang; Wenyu Hu; Ruirui Guo; Yuxiang Wang; Bo Li
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-30       Impact factor: 6.055

Review 8.  Social networks and type 2 diabetes: a narrative review.

Authors:  Miranda T Schram; Willem J J Assendelft; Theo G van Tilburg; Nicole H T M Dukers-Muijrers
Journal:  Diabetologia       Date:  2021-06-29       Impact factor: 10.122

9.  A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks.

Authors:  Amar Dhand; Charles C White; Catherine Johnson; Zongqi Xia; Philip L De Jager
Journal:  Nat Commun       Date:  2018-09-26       Impact factor: 14.919

10.  Concordance of Cardiovascular Risk Factors and Behaviors in a Multiethnic US Nationwide Cohort of Married Couples and Domestic Partners.

Authors:  Dov Shiffman; Judy Z Louie; James J Devlin; Charles M Rowland; Samia Mora
Journal:  JAMA Netw Open       Date:  2020-10-01
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