| Title |
Incident Type 2 Diabetes Risk is Influenced by Obesity and Diabetes in Social Contacts: a Social Network Analysis
|
|---|---|
| Published in |
Journal of General Internal Medicine, May 2016
|
| DOI | 10.1007/s11606-016-3723-1 |
| Pubmed ID | |
| Authors |
Sridharan Raghavan, Mark C. Pachucki, Yuchiao Chang, Bianca Porneala, Caroline S. Fox, Josée Dupuis, James B. Meigs |
| Abstract |
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. 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. This was a retrospective analysis of the community-based Framingham Offspring Study (FOS). 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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Members of the public | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 99 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 17% |
| Student > Ph. D. Student | 13 | 13% |
| Student > Bachelor | 9 | 9% |
| Researcher | 5 | 5% |
| Student > Doctoral Student | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 41 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 16 | 16% |
| Medicine and Dentistry | 16 | 16% |
| Social Sciences | 7 | 7% |
| Psychology | 4 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 14 | 14% |
| Unknown | 42 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 October 2016.
All research outputs
#3,488,356
of 25,116,143 outputs
Outputs from Journal of General Internal Medicine
#2,437
of 8,102 outputs
Outputs of similar age
#52,759
of 304,926 outputs
Outputs of similar age from Journal of General Internal Medicine
#34
of 96 outputs
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