Literature DB >> 27270913

Use of self-monitoring tools in a clinic sample of adults with type 2 diabetes.

Molly L Tanenbaum1, Harikrashna B Bhatt2, Valerie A Thomas3, Rena R Wing4.   

Abstract

Self-monitoring is an effective strategy for chronic disease management; many readily available mobile applications allow tracking of diabetes-related health behaviors but their use has not yet been integrated into routine clinical care. How patients engage with these applications in the real world is not well understood. The specific aim of this study is to survey adults with type 2 diabetes (T2D) regarding self-monitoring behaviors, including mobile application use. In 2015, we surveyed an adult diabetes clinic population (n = 96) regarding self-monitoring behaviors: diet, physical activity, weight, and blood glucose. Self-monitoring with any method ranged from 20-90 %. About half of the participants owned smartphones; few had mobile applications. The most common app-tracked behavior was physical activity, then weight and diet. Despite numerous available mobile health-tracking applications, few T2D adults from our sample used them, though many reported self-monitoring with other methods.

Entities:  

Keywords:  Diabetes; Self-monitoring; Smartphone; mHealth

Mesh:

Substances:

Year:  2017        PMID: 27270913      PMCID: PMC5526795          DOI: 10.1007/s13142-016-0418-4

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  20 in total

1.  A descriptive study of individuals successful at long-term maintenance of substantial weight loss.

Authors:  M L Klem; R R Wing; M T McGuire; H M Seagle; J O Hill
Journal:  Am J Clin Nutr       Date:  1997-08       Impact factor: 7.045

2.  A self-regulation program for maintenance of weight loss.

Authors:  Rena R Wing; Deborah F Tate; Amy A Gorin; Hollie A Raynor; Joseph L Fava
Journal:  N Engl J Med       Date:  2006-10-12       Impact factor: 91.245

3.  Self-monitoring of blood glucose as part of a multi-component therapy among non-insulin requiring type 2 diabetes patients: a meta-analysis (1966-2004).

Authors:  Jesus N Sarol; Nemencio A Nicodemus; Kathryn M Tan; Maritess B Grava
Journal:  Curr Med Res Opin       Date:  2005-02       Impact factor: 2.580

4.  Incidence of complications and mortality in a type 2 diabetes patient cohort study followed up from diagnosis in a primary healthcare centre.

Authors:  M Mata-Cases; C De Prado-Lacueva; V Salido-Valencia; E Fernández-Bertolín; J Casermeiro-Cortés; M García-Durán; S Jabalera-López; M I Fernández-Sanmartín
Journal:  Int J Clin Pract       Date:  2011-03       Impact factor: 2.503

5.  Adherence to evidence-based guidelines among diabetes self-management apps.

Authors:  Jessica Y Breland; Vivian M Yeh; Jessica Yu
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

6.  Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis.

Authors:  X Liang; Q Wang; X Yang; J Cao; J Chen; X Mo; J Huang; L Wang; D Gu
Journal:  Diabet Med       Date:  2011-04       Impact factor: 4.359

Review 7.  Self-Monitoring of Blood Glucose (SMBG) in insulin- and non-insulin-using adults with diabetes: consensus recommendations for improving SMBG accuracy, utilization, and research.

Authors:  Irl B Hirsch; Bruce W Bode; Belinda P Childs; Kelly L Close; William A Fisher; James R Gavin; Barry H Ginsberg; Charles H Raine; Carol A Verderese
Journal:  Diabetes Technol Ther       Date:  2008-12       Impact factor: 6.118

8.  Self-weighing promotes weight loss for obese adults.

Authors:  Jeffrey J VanWormer; Anna M Martinez; Brian C Martinson; A L Crain; Gretchen A Benson; Daniel L Cosentino; Nicolaas P Pronk
Journal:  Am J Prev Med       Date:  2008-10-31       Impact factor: 5.043

9.  Consistent self-monitoring of weight: a key component of successful weight loss maintenance.

Authors:  Meghan L Butryn; Suzanne Phelan; James O Hill; Rena R Wing
Journal:  Obesity (Silver Spring)       Date:  2007-12       Impact factor: 5.002

10.  Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes: results from the Structured Testing Program study.

Authors:  William H Polonsky; Lawrence Fisher; Charles H Schikman; Deborah A Hinnen; Christopher G Parkin; Zhihong Jelsovsky; Bettina Petersen; Matthias Schweitzer; Robin S Wagner
Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

View more
  5 in total

Review 1.  Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus.

Authors:  Jacob Hartz; Leah Yingling; Tiffany M Powell-Wiley
Journal:  Curr Cardiol Rep       Date:  2016-12       Impact factor: 2.931

2.  Engaging primary care patients with existing online tools for weight loss: A pilot trial.

Authors:  Megan A McVay; Kellie B Cooper; Marissa L Donahue; Montserrat Carrera Seoane; Nipa R Shah; Fern Webb; Michael Perri; Danielle E Jake-Schoffman
Journal:  Obes Sci Pract       Date:  2022-02-23

3.  The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study.

Authors:  Leah Flitcroft; Won Sun Chen; Denny Meyer
Journal:  J Med Internet Res       Date:  2020-06-26       Impact factor: 5.428

4.  Dietary Application for the Management of Patients with Hemodialysis: A Formative Development Study.

Authors:  Cosette Fakih El Khoury; Mirey Karavetian; Ruud J G Halfens; Rik Crutzen; Dayana El Chaar; Jos M G A Schols
Journal:  Healthc Inform Res       Date:  2019-10-31

Review 5.  Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda.

Authors:  Hessah Alaslawi; Ilhem Berrou; Abdullah Al Hamid; Dari Alhuwail; Zoe Aslanpour
Journal:  JMIR Diabetes       Date:  2022-07-28
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.