• DocumentCode
    116586
  • Title

    Social networks and quality of life: The national health interview survey

  • Author

    Hemmati, Azadeh ; Chung, Kon Shing Kenneth

  • Author_Institution
    Project Manage. Program, Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2014
  • fDate
    17-20 Aug. 2014
  • Firstpage
    572
  • Lastpage
    579
  • Abstract
    Abundant studies document the importance of social support on quality of life (QOL). These studies mainly focus on individualistic and social capital perspectives. Studies showing how structural, dyadic and network level perspectives actually influence QOL remain lacking. In this study, we develop a theoretical model based on social network theories and the QOL model to understand how social support would influence QOL in the context of cancer patients. Using the U.S. National Health Interview Survey 2010, we (i) demonstrate how relational data is extracted for (ii) investigate the association between egocentric network properties (structure, position and relations) and overall QOL. Results show that there are significant differences in the network properties (density, degree, tie strength, efficiency and constraint) of those experiencing high and low QOL. These findings are critical to influencing interventions and policy development for enhanced QOL in cancer care.
  • Keywords
    cancer; data handling; health care; medical computing; social networking (online); social sciences computing; QOL model; U.S. National Health Interview Survey 2010; cancer care; dyadic level perspective; egocentric network properties; individualistic perspective; network level perspective; quality-of-life model; relational data; social capital perspective; social networks; social support; structural level perspective; Cancer; Cultural differences; Instruments; Psychology; Social network services; Uncertainty; Quality of Life; Social Network; Structure; cancer; egocentric network; social support; ties;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ASONAM.2014.6921644
  • Filename
    6921644