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

被引:37
作者
Dhand, Amar [1 ,2 ]
White, Charles C. [3 ]
Johnson, Catherine [4 ,5 ]
Xia, Zongqi [6 ]
De Jager, Philip L. [3 ,4 ,5 ]
机构
[1] Harvard Med Sch, Brigham & Womens Hosp, Dept Neurol, Boston, MA 02115 USA
[2] Northeastern Univ, Network Sci Inst, Boston, MA 02115 USA
[3] Broad Inst, Program Med & Populat Genet, Cambridge, MA 02142 USA
[4] Columbia Univ, Multiple Sclerosis Ctr, Med Ctr, New York, NY 10032 USA
[5] Columbia Univ, Dept Neurol, Med Ctr, Ctr Translat & Computat Neuroimmunol, New York, NY 10032 USA
[6] Univ Pittsburgh, Dept Neurol, Pittsburgh, PA 15260 USA
关键词
MULTIPLE-SCLEROSIS; SUPPORT; STROKE; TRIAL; 1ST; RECOVERY; EVENTS; HEALTH;
D O I
10.1038/s41467-018-06408-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of <= 5 people. Here, we introduce a quantitative social network assessment tool on a secure open-source web platform, readily deployable in large-scale clinical studies. The tool maps an individual's personal network, including specific persons, their relationships to each other, and their health habits. To demonstrate utility, we used the tool to measure the social networks of 1493 persons at risk of multiple sclerosis. We examined each person's social network in relation to self-reported neurological disability. We found that the characteristics of persons surrounding the participant, such as negative health behaviors, were strongly associated with the individual's functional disability. This quantitative assessment reveals the key elements of individuals' social environments that could be targeted in clinical trials.
引用
收藏
页数:9
相关论文
共 33 条
[1]  
Agresti Alan., 1978, Sociological Methodology, V9, P204, DOI [10.2307/270810, DOI 10.2307/270810]
[2]  
[Anonymous], 2009, SOCIAL NETWORK ANAL
[3]  
[Anonymous], 2010, Social networks and health: models, methods, and applications
[4]   Exercise contagion in a global social network [J].
Aral, Sinan ;
Nicolaides, Christos .
NATURE COMMUNICATIONS, 2017, 8
[5]  
Berkman LF, 2003, JAMA-J AM MED ASSOC, V289, P3106
[6]   Complex relation of HLA-DRB1* 1501 age at menarche, and age at multiple sclerosis onset [J].
Bove, Riley ;
Chua, Alicia S. ;
Xia, Zongqi ;
Chibnik, Lori ;
De Jager, Philip I. ;
Chitnis, Tanuja .
NEUROLOGY-GENETICS, 2016, 2 (04)
[7]   NETWORK ITEMS AND THE GENERAL SOCIAL SURVEY [J].
BURT, RS .
SOCIAL NETWORKS, 1984, 6 (04) :293-339
[8]   Structural holes and good ideas [J].
Burt, RS .
AMERICAN JOURNAL OF SOCIOLOGY, 2004, 110 (02) :349-399
[9]   The spread of obesity in a large social network over 32 years [J].
Christakis, Nicholas A. ;
Fowler, James H. .
NEW ENGLAND JOURNAL OF MEDICINE, 2007, 357 (04) :370-379
[10]   Social networks and neurological illness [J].
Dhand, Amar ;
Luke, Douglas A. ;
Lang, Catherine E. ;
Lee, Jin-Moo .
NATURE REVIEWS NEUROLOGY, 2016, 12 (10) :605-612