Literature DB >> 17158844

Breast and prostate cancer online discussion boards: a thematic analysis of gender differences and similarities.

Rebecca J Gooden1, Helen R Winefield.   

Abstract

Online discussion boards are being used increasingly by cancer survivors, highlighting the need for understanding this potentially supportive communication process. Two online discussion boards, a prostate group and a breast cancer group, were studied using mixed methodology of both Grounded Theory and a quasi-numerative approach. Both men's and women's dialogues fell under two themes, information support and emotional support. Information support accounted for 60 per cent of communications in women and 64 per cent in men and emotional support 40 per cent in women and 36 per cent in men. However, there were gender differences in the language styles of these communications. Further research is recommended to understand adequately the emotional content within women's and men's dialogues in the context of breast and prostate cancer discussion boards.

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Year:  2007        PMID: 17158844     DOI: 10.1177/1359105307071744

Source DB:  PubMed          Journal:  J Health Psychol        ISSN: 1359-1053


  25 in total

1.  Physical and emotional health information needs and preferences of long-term prostate cancer survivors.

Authors:  Eric S Zhou; Sharon L Bober; Larissa Nekhlyudov; Jim C Hu; Philip W Kantoff; Christopher J Recklitis
Journal:  Patient Educ Couns       Date:  2016-07-14

2.  Information needs and Internet use in urological and breast cancer patients.

Authors:  Beatriz Valero-Aguilera; Clara Bermúdez-Tamayo; José Francisco García-Gutiérrez; Jaime Jiménez-Pernett; José Manuel Cózar-Olmo; Rosario Guerrero-Tejada; Rubén Alba-Ruiz
Journal:  Support Care Cancer       Date:  2014-02       Impact factor: 3.603

3.  Information seeking and social support in online health communities: impact on patients' perceived empathy.

Authors:  Priya Nambisan
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

4.  Identifying potential adverse effects using the web: a new approach to medical hypothesis generation.

Authors:  Adrian Benton; Lyle Ungar; Shawndra Hill; Sean Hennessy; Jun Mao; Annie Chung; Charles E Leonard; John H Holmes
Journal:  J Biomed Inform       Date:  2011-07-26       Impact factor: 6.317

5.  Factors related to use of the Internet as a source of health information by urological cancer patients.

Authors:  Beatriz Valero-Aguilera; Clara Bermúdez-Tamayo; José Francisco García-Gutiérrez; Jaime Jiménez-Pernett; Fernando Vázquez-Alonso; Armando Suárez-Charneco; Rosario Guerrero-Tejada; José Manuel Cózar-Olmo
Journal:  Support Care Cancer       Date:  2012-03-14       Impact factor: 3.603

6.  [Online support groups for localized prostate cancer: qualitative analysis of decision making].

Authors:  J Huber; T Peters; A Kessler; A Ihrig; C G Huber; B Hadaschik; S Pahernik; M Hohenfellner
Journal:  Urologe A       Date:  2010-11       Impact factor: 0.639

7.  "The bigger the network the bigger the bowl of cherries...": exploring the acceptability of, and preferences for, an ongoing support network for known BRCA 1 and BRCA 2 mutation carriers.

Authors:  Lisa Hughes; Ceri Phelps
Journal:  J Genet Couns       Date:  2010-04-22       Impact factor: 2.537

8.  Online information analysis on pancreatic cancer in Korea using structural topic model.

Authors:  Minji Seo; Nayoung Lee; Junli Park; Wonkwang Jo; Yeol Kim
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

9.  Content and frequency of writing on diabetes bulletin boards: does race make a difference?

Authors:  Siobhan Case; Valarie Jernigan; Audra Gardner; Philip Ritter; Catherine A Heaney; Kate R Lorig
Journal:  J Med Internet Res       Date:  2009-06-24       Impact factor: 5.428

10.  Relational processes and psychological adjustment among young adults with cancer: The role of technology-related communication.

Authors:  Katie Darabos; Michael A Hoyt; Jennifer S Ford
Journal:  Psychooncology       Date:  2019-11-11       Impact factor: 3.894

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