Literature DB >> 31568199

Efficacy of Osteoporosis Prevention Smartphone App.

Polly Ryan1, Roger L Brown, Mary Ellen Csuka, Paula Papanek.   

Abstract

BACKGROUND: The Striving to be Strong study tested the efficacy of a multifaceted, theory-based, complex osteoporosis prevention smartphone application (app). We hypothesized use of the app would improve bone mineral density and trabecular bone scores.
METHODS: The study was a three-group, prospective, repeated-measure, longitudinal randomized trial. Baseline sample consisted of 290 healthy women between 40 and 60 years of age. Participants were randomly assigned to one of three groups: "Striving," a dynamically tailored, person-centered app; "Boning Up," a standardized osteoporosis-education e-book; and "Wait List," a participant's choice of intervention in the final 3 months of the 12-month study. Participants had or were provided a smart phone. Bone mineral density and trabecular bone scores were measured using dual-energy X-ray absorptiometry at baseline and 12 months. To assess engagement in health behavior change processes, ecological momentary assessments were administered via text messaging during the 12 months participants actively used the app.
RESULTS: The final sample reflects an 89.6% retention rate. There were decreases in bone mineral density over time but not among the three groups. The percentage of bone density lost over 12 months was lower than expected. Trabecular bone scores were not different over time or by group but improved across all three groups. DISCUSSION: Small but positive results were observed across all groups, suggesting one or more aspects of participation might have affected outcomes, including dissemination of the intervention across groups, retention without participation, ecological momentary assessments functioning as both an intervention and measure, and selective engagement in research-based recommendations.

Entities:  

Mesh:

Year:  2020        PMID: 31568199      PMCID: PMC7105101          DOI: 10.1097/NNR.0000000000000392

Source DB:  PubMed          Journal:  Nurs Res        ISSN: 0029-6562            Impact factor:   2.381


  32 in total

Review 1.  Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data.

Authors:  A Cnaan; N M Laird; P Slasor
Journal:  Stat Med       Date:  1997-10-30       Impact factor: 2.373

Review 2.  Perceptions of Smartphone User-Centered Mobile Health Tracking Apps Across Various Chronic Illness Populations: An Integrative Review.

Authors:  Susan D Birkhoff; Suzanne C Smeltzer
Journal:  J Nurs Scholarsh       Date:  2017-06-12       Impact factor: 3.176

3.  Point process analyses of variations in smoking rate by setting, mood, gender, and dependence.

Authors:  Saul Shiffman; Stephen L Rathbun
Journal:  Psychol Addict Behav       Date:  2011-09

Review 4.  The timing of the age at which natural menopause occurs.

Authors:  Ellen B Gold
Journal:  Obstet Gynecol Clin North Am       Date:  2011-09       Impact factor: 2.844

5.  Midlife women's adherence to home-based walking during maintenance.

Authors:  Joellen Wilbur; Annemarie Vassalo; Peggy Chandler; Judith McDevitt; Arlene Michaels Miller
Journal:  Nurs Res       Date:  2005 Jan-Feb       Impact factor: 2.381

6.  Computer-based intervention to enhance self-management of calcium and vitamin D intake in women.

Authors:  Polly Ryan; Denise Maierle; Mary Ellen Csuka; Alice Thomson; Aniko Szabo
Journal:  West J Nurs Res       Date:  2013-03-27       Impact factor: 1.967

Review 7.  Integrated Theory of Health Behavior Change: background and intervention development.

Authors:  Polly Ryan
Journal:  Clin Nurse Spec       Date:  2009 May-Jun       Impact factor: 1.067

8.  Effects of individualized bone density feedback and educational interventions on osteoporosis knowledge and self-efficacy: a 12-yr prospective study.

Authors:  Feitong Wu; Laura L Laslett; Karen Wills; Brian Oldenburg; Graeme Jones; Tania Winzenberg
Journal:  J Clin Densitom       Date:  2014-09-11       Impact factor: 2.617

9.  Why is changing health-related behaviour so difficult?

Authors:  Michael P Kelly; Mary Barker
Journal:  Public Health       Date:  2016-05-13       Impact factor: 2.427

10.  Monitoring dietary intake and physical activity electronically: feasibility, usability, and ecological validity of a mobile-based Ecological Momentary Assessment tool.

Authors:  Jorinde Eline Spook; Theo Paulussen; Gerjo Kok; Pepijn Van Empelen
Journal:  J Med Internet Res       Date:  2013-09-24       Impact factor: 5.428

View more
  2 in total

Review 1.  Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review.

Authors:  Saki Amagai; Sarah Pila; Aaron J Kaat; Cindy J Nowinski; Richard C Gershon
Journal:  J Med Internet Res       Date:  2022-04-26       Impact factor: 7.076

Review 2.  Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis.

Authors:  Ghada Alhussein; Leontios Hadjileontiadis
Journal:  JMIR Mhealth Uhealth       Date:  2022-04-21       Impact factor: 4.947

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.