The Effects of an Online Theory-Based Bone Health Program for Older Adults.

Eun-Shim Nahm, Barbara Resnick, Clayton Brown, Shijun Zhu, Jay Magaziner, Michele Bellantoni, Patricia Flatley Brennan, Kathleen Charters, Jeanine Brown, Mathew Rietschel, Minjeong An, Bu Kyung Park
Author Information
  1. Eun-Shim Nahm: 1 University of Maryland, Baltimore, USA.
  2. Barbara Resnick: 1 University of Maryland, Baltimore, USA.
  3. Clayton Brown: 1 University of Maryland, Baltimore, USA.
  4. Shijun Zhu: 1 University of Maryland, Baltimore, USA.
  5. Jay Magaziner: 1 University of Maryland, Baltimore, USA.
  6. Michele Bellantoni: 2 Johns Hopkins School of Medicine, Baltimore, MD, USA.
  7. Patricia Flatley Brennan: 3 University of Wisconsin-Madison, USA.
  8. Kathleen Charters: 4 TRICARE Management Activity, Arlington, VA, USA.
  9. Jeanine Brown: 1 University of Maryland, Baltimore, USA.
  10. Mathew Rietschel: 1 University of Maryland, Baltimore, USA.
  11. Minjeong An: 1 University of Maryland, Baltimore, USA.
  12. Bu Kyung Park: 1 University of Maryland, Baltimore, USA.

Abstract

An estimated 10 million Americans age 50 and older have osteoporosis, and many experience associated fractures. Although several interventions have been shown to be effective in preventing osteoporosis, their impact on bone health among older adults was limited. The aim of this study was, therefore, to examine the effects of a theory-based online bone health program (Bone Power program) for a large number of older adults. The 8-week program included learning modules, discussion boards, and other resources. Participants ( N = 866; M age = 62.5 years) were recruited online and randomized into a Bone Power or control group. At the end of the intervention, the Bone Power group showed significantly greater improvement over the control group in osteoporosis knowledge, self-efficacy/outcome expectations for calcium intake and exercise, and calcium intake and exercise behaviors. This study's findings suggest that online health programs can be effective in improving older adults' knowledge, beliefs, and health behaviors.

Keywords

Associated Data

ClinicalTrials.gov | NCT01963169

References

  1. Cochrane Database Syst Rev. 2013 Feb 28;(2):CD008722 [PMID: 23450587]
  2. J Med Internet Res. 2013 Feb 05;15(2):e19 [PMID: 23470322]
  3. Int J Med Inform. 2011 Jun;80(6):389-405 [PMID: 21481632]
  4. Clin Interv Aging. 2007;2(2):255-61 [PMID: 18044141]
  5. Psychooncology. 2005 Sep;14(9):704-17 [PMID: 15651055]
  6. Med Sci Sports Exerc. 1993 May;25(5):628-42 [PMID: 8492692]
  7. J Med Internet Res. 2015 Mar 25;17(3):e82 [PMID: 25830503]
  8. Health Informatics J. 2015 Jun;21(2):120-36 [PMID: 26021668]
  9. Psychol Methods. 2009 Mar;14(1):43-53 [PMID: 19271847]
  10. Ann Intern Med. 2008 Feb 5;148(3):197-213 [PMID: 18087050]
  11. J Nutr Educ Behav. 2004 Jan-Feb;36(1):20-4 [PMID: 14756978]
  12. Nurs Res. 2012 Nov-Dec;61(6):413-22 [PMID: 23052420]
  13. J Cardiopulm Rehabil Prev. 2013 Jul-Aug;33(4):220-8 [PMID: 23595004]
  14. Nurs Res. 2001 Sep-Oct;50(5):293-9 [PMID: 11570714]
  15. Nurs Res. 2009 Nov-Dec;58(6):419-26 [PMID: 19918152]
  16. J Med Internet Res. 2010 Feb 17;12(1):e4 [PMID: 20164043]
  17. J Am Pharm Assoc (2003). 2003 Nov-Dec;43(6):685-93 [PMID: 14717265]
  18. Nurs Res. 2000 May-Jun;49(3):154-9 [PMID: 10882320]
  19. Am J Prev Med. 2007 Jul;33(1):54-64 [PMID: 17572313]
  20. Med Sci Sports Exerc. 2004 Nov;36(11):1997-2003 [PMID: 15514518]
  21. J Bone Miner Res. 2008 Jul;23 (7):1061-7 [PMID: 18302495]
  22. J Nurs Meas. 2014;22(2):342-56 [PMID: 25255683]
  23. J Med Internet Res. 2011 Aug 05;13(3):e52 [PMID: 21821503]
  24. J Nutr. 2010 Apr;140(4):817-22 [PMID: 20181782]
  25. J Am Diet Assoc. 2011 May;111(5):687-95 [PMID: 21515114]
  26. Stud Health Technol Inform. 2006;122:38-43 [PMID: 17102214]
  27. BMC Geriatr. 2007 Jul 03;7:16 [PMID: 17605827]
  28. J Health Commun. 2013;18(9):1039-69 [PMID: 23750972]
  29. Comput Nurs. 2000 Jan-Feb;18(1):35-43; quiz 44-6 [PMID: 10673815]
  30. Appl Nurs Res. 2011 Nov;24(4):269-75 [PMID: 20974077]
  31. J Med Internet Res. 2007 Sep 30;9(3):e26 [PMID: 17942388]
  32. J Med Internet Res. 2006 Nov 14;8(4):e27 [PMID: 17213046]
  33. Res Nurs Health. 1991 Apr;14(2):155-63 [PMID: 2047537]
  34. J Med Internet Res. 2014 Jul 23;16(7):e177 [PMID: 25057119]
  35. Am J Health Behav. 2002 May-Jun;26(3):163-72 [PMID: 12018752]
  36. Aust Health Rev. 2008 Feb;32(1):34-43 [PMID: 18241147]
  37. Comput Inform Nurs. 2010 Nov-Dec;28(6):371-9 [PMID: 20978408]
  38. West J Nurs Res. 2006 Aug;28(5):586-601 [PMID: 16829639]

Grants

  1. P30 AG028747/NIA NIH HHS
  2. R01 NR011296/NINR NIH HHS

MeSH Term

Aged
Bone and Bones
Female
Health Behavior
Health Knowledge, Attitudes, Practice
Health Promotion
Humans
Male
Middle Aged
Telemedicine

Word Cloud

Created with Highcharts 10.0.0healtholderonlineBoneosteoporosisboneprogramPowergroupageeffectiveadultsstudytheory-based=controlinterventionknowledgecalciumintakeexercisebehaviorsestimated10millionAmericans50manyexperienceassociatedfracturesAlthoughseveralinterventionsshownpreventingimpactamonglimitedaimthereforeexamineeffectslargenumber8-weekincludedlearningmodulesdiscussionboardsresourcesParticipantsN866M625yearsrecruitedrandomizedendshowedsignificantlygreaterimprovementself-efficacy/outcomeexpectationsstudy'sfindingssuggestprogramscanimprovingadults'beliefsEffectsOnlineTheory-BasedHealthProgramOlderAdultsdietphysicalactivities

Similar Articles

Cited By