The effect of informal social support: Face-to-face versus computer-mediated communication

Survey data were collected on a military sample to test two main hypotheses about the impact of face-to-face and computer-mediated social support following disruptive life events. We tested two main hypotheses: first, as previous research indicates, the impact of a disruptive life event is partially dependent upon the amount of social support one receives during the time of the event (H1). Second, the type of communication used will further impact the effectiveness of social support in comforting individuals following a negative life event. Results support both hypotheses, indicating that the buffering role of social support following a disruptive life event is not only dependent upon the amount of social support one receives, but is further affected by the type of communication that participants used to receive support. These findings provide support for the buffering hypothesis' utility in the realm of computer-mediated communication, as well as the application of the cues-filtered-out approach in the mediated social support domain.

[1]  G. Andersson,et al.  Internet-based self-help for depression: randomised controlled trial , 2005, British Journal of Psychiatry.

[2]  J J Spangenberg,et al.  Stressful life events and psychological status in black South African women. , 1995, The Journal of social psychology.

[3]  Jason T. Siegal,et al.  The imaginary audience, the personal fable, and a rival hypothesis: An alternative explanation for behavior typical of adolescence , 2005 .

[4]  E. Berscheid.  Social Psychology. 4th ed. , 1981 .

[5]  M. Greenberg,et al.  Effects of stress and social support on mothers and premature and full-term infants. , 1983, Child development.

[6]  K. Rook,et al.  Social Support Measurement and Interventions , 2000 .

[7]  B. Uchino.  Social Support and Health: A Review of Physiological Processes Potentially Underlying Links to Disease Outcomes , 2006, Journal of Behavioral Medicine.

[8]  K. Wright.  Social support within an on-line cancer community: an assessment of emotional support, perceptions of advantages and disadvantages, and motives for using the community from a communication perspective , 2002 .

[9]  D Meyers,et al.  A stressful life. , 1982, British medical journal.

[10]  Robert E. Kraut,et al.  Internet paradox. A social technology that reduces social involvement and psychological well-being? , 1998, The American psychologist.

[11]  T. Theorell,et al.  On physiological effects of positive and negative life changes--a longitudinal study. , 1993, Journal of psychosomatic research.

[12]  D. C. Howell.  Statistical Methods for Psychology , 1987 .

[13]  L Wilhelmsen,et al.  Stressful life events, social support, and mortality in men born in 1933. , 1993, BMJ.

[14]  P. Fahy.  Indicators of Support in Online Interaction , 2003 .

[15]  Ming Liu,et al.  An analysis of social support exchanges in online HIV/AIDS self-help groups , 2009, Comput. Hum. Behav..

[16]  W. Miller,et al.  Spirituality, Health, and the Discipline of Psychology. , 2004 .

[17]  Chris Barker,et al.  Outcome of an Online Mutual Support Group for College Students with Psychological Problems , 2008, Cyberpsychology Behav. Soc. Netw..

[18]  Stephen A. Rains,et al.  Weak-Tie Support Network Preference and Perceived Life Stress Among Participants in Health-Related, Computer-Mediated Support Groups , 2010, J. Comput. Mediat. Commun..

[19]  Jan Colvin,et al.  Caregivers of Older Adults: Advantages and Disadvantages of Internet‐based Social Support* , 2004 .

[20]  J. House,et al.  Social relationships and health. , 1988, Science.

[21]  Jennifer L. Gregg,et al.  Reformulating the Internet paradox: Social cognitive explanations of Internet use and depression. , 2001 .

[22]  R. Glasgow,et al.  Do Internet-Based Support Interventions Change Perceptions of Social Support?: An Experimental Trial of Approaches for Supporting Diabetes Self-Management , 2002, American journal of community psychology.

[23]  T. Wills,et al.  Stress, social support, and the buffering hypothesis. , 1985, Psychological bulletin.

[24]  H. Wagner,et al.  The Effect of Social Presence on the Facial and Verbal Expression of Emotion and the Interrelationships Among Emotion Components , 2002 .

[25]  Jaime A. B. Wilson,et al.  Soldier Attitudes about Technology-Based Approaches to Mental Health Care , 2008, Cyberpsychology Behav. Soc. Netw..

[26]  R. P. Vilhauer,et al.  Perceived Benefits of Online Support Groups for Women with Metastatic Breast Cancer , 2009, Women & health.

[27]  J Viikari,et al.  Life changes, locus of control and metabolic syndrome precursors in adolescents and young adults: a three-year follow-up. , 1996, Social science & medicine.

[28]  Kevin B. Wright,et al.  Health-related Support Groups on the Internet: Linking Empirical Findings to Social Support and Computer-mediated Communication Theory , 2003, Journal of health psychology.

[29]  P Laippala,et al.  Adolescent depression: the role of discontinuities in life course and social support. , 2001, Journal of affective disorders.

[30]  Richard L. Daft,et al.  Organizational information requirements, media richness and structural design , 1986 .

[31]  John Short,et al.  The social psychology of telecommunications , 1976 .

[32]  J. L . Krupnick.  Clinical effectiveness of online computerised cognitive–behavioural therapy without support for depression in primary care: randomised trial , 2011 .

[33]  Y. Amichai-Hamburger,et al.  Loneliness and Internet use , 2003, Comput. Hum. Behav..

[34]  Jason E. Owen,et al.  Use of Health-Related Online Support Groups: Population Data from the California Health Interview Survey Complementary and Alternative Medicine Study , 2010, J. Comput. Mediat. Commun..

[35]  Irwin G. Sarason,et al.  Social support: Mapping the construct , 2009 .

[36]  J. Lönnqvist,et al.  Recent life events and completed suicide in bipolar affective disorder. A comparison with major depressive suicides. , 1995, Journal of affective disorders.

[37]  B. Hagerty,et al.  Factors associated with depression in navy recruits. , 2002, Journal of clinical psychology.

[38]  D. C. Howell.  Statistical methods for psychology, 3rd ed. , 1992 .

[39]  S. Fiske,et al.  Social Psychology , 2019, Encyclopedia of Personality and Individual Differences.

[40]  Carol A. Dolan,et al.  The Coping Paradox: Work, Stress, and Coping in the U.S. Army , 2008 .

[41]  Ned Kock,et al.  The Psychobiological Model: Towards a New Theory of Computer-Mediated Communication Based on Darwinian Evolution , 2004, Organ. Sci..

[42]  A. Lange,et al.  Interapy: Treatment of Post-traumatic Stress via the Internet , 2003, Cognitive behaviour therapy.

[43]  O. Gureje,et al.  The validity of two versions of the GHQ in the WHO study of mental illness in general health care , 1997, Psychological Medicine.

[44]  T. H. Holmes,et al.  The Social Readjustment Rating Scale. , 1967, Journal of psychosomatic research.