Literature DB >> 28339620

Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs).

Hamed Abedtash1, Richard J Holden1.   

Abstract

BACKGROUND: Portable activity sensing devices (PASDs) have received significant interest as tools for objectively measuring activity-related parameters and promoting health-related outcomes. Studies of PASDs suggest the potential value of integrating them with behavioral interventions to improve intermediate and downstream clinical outcomes.
OBJECTIVES: This systematic review describes and evaluates evidence from controlled studies of interventions using PASDs on their effectiveness in health-related outcomes. Study quality was also assessed.
METHODS: A systematic literature search was performed of MEDLINE, Cochrane Central Register of Controlled Trials, PsycINFO, EMBASE, and CINAHL databases. We included English-language papers of controlled trials through 2015 reporting the effectiveness of PASDs in improving health-related outcomes in any population. We extracted and analyzed data on study characteristics including design, target population, interventions, and findings.
RESULTS: Seventeen trials met the inclusion criteria from a total of 9553 unique records. Study objectives varied greatly, but most sought to increase physical activity. Studies with a "passive" intervention arm using a PASD with minimal behavioral support generally did not demonstrate effectiveness in improving health-related outcomes. Interventions integrating PASDs with multiple behavioral change techniques were more likely to be effective, particularly for intermediate outcomes such as physical activity and weight loss. Trials had small sample sizes but were generally free of bias, except for blinding and selection bias.
CONCLUSION: There is insufficient evidence to draw a conclusion about the general health-related benefits of PASD interventions. PASD interventions may improve intermediate outcomes when coupled with multiple behavioral change techniques. Devices alone or with minimal behavioral change support are insufficient to change health-related outcomes.
© The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Entities:  

Keywords:  activity sensor; mobile health (mHealth) technology; physical activity tracker; portable sensor; wearable device

Mesh:

Year:  2017        PMID: 28339620      PMCID: PMC6259669          DOI: 10.1093/jamia/ocx006

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  74 in total

1.  Accuracy of smartphone applications and wearable devices for tracking physical activity data.

Authors:  Meredith A Case; Holland A Burwick; Kevin G Volpp; Mitesh S Patel
Journal:  JAMA       Date:  2015-02-10       Impact factor: 56.272

Review 2.  Behavioral science research in diabetes: lifestyle changes related to obesity, eating behavior, and physical activity.

Authors:  R R Wing; M G Goldstein; K J Acton; L L Birch; J M Jakicic; J F Sallis; D Smith-West; R W Jeffery; R S Surwit
Journal:  Diabetes Care       Date:  2001-01       Impact factor: 19.112

3.  Associations of sedentary lifestyle, obesity, smoking, alcohol use, and diabetes with the risk of colorectal cancer.

Authors:  L Le Marchand; L R Wilkens; L N Kolonel; J H Hankin; L C Lyu
Journal:  Cancer Res       Date:  1997-11-01       Impact factor: 12.701

Review 4.  The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review.

Authors:  Caroline Free; Gemma Phillips; Leandro Galli; Louise Watson; Lambert Felix; Phil Edwards; Vikram Patel; Andy Haines
Journal:  PLoS Med       Date:  2013-01-15       Impact factor: 11.069

Review 5.  Endometrial cancer and obesity: epidemiology, biomarkers, prevention and survivorship.

Authors:  Amanda Nickles Fader; Lucybeth Nieves Arriba; Heidi E Frasure; Vivian E von Gruenigen
Journal:  Gynecol Oncol       Date:  2009-04-29       Impact factor: 5.482

6.  Behavioral Informatics and Computational Modeling in Support of Proactive Health Management and Care.

Authors:  Misha Pavel; Holly B Jimison; Ilkka Korhonen; Christine M Gordon; Niilo Saranummi
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-29       Impact factor: 4.538

7.  Do pedometers increase physical activity in sedentary older women? A randomized controlled trial.

Authors:  Marion E T McMurdo; Jacqui Sugden; Ishbel Argo; Paul Boyle; Derek W Johnston; Falko F Sniehotta; Peter T Donnan
Journal:  J Am Geriatr Soc       Date:  2010-11       Impact factor: 5.562

8.  A feasibility study of wearable activity monitors for pre-adolescent school-age children.

Authors:  Sara E Schaefer; Marta Van Loan; J Bruce German
Journal:  Prev Chronic Dis       Date:  2014-05-22       Impact factor: 2.830

9.  Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study.

Authors:  Joseph A Cafazzo; Mark Casselman; Nathaniel Hamming; Debra K Katzman; Mark R Palmert
Journal:  J Med Internet Res       Date:  2012-05-08       Impact factor: 5.428

Review 10.  The Rise of Consumer Health Wearables: Promises and Barriers.

Authors:  Lukasz Piwek; David A Ellis; Sally Andrews; Adam Joinson
Journal:  PLoS Med       Date:  2016-02-02       Impact factor: 11.069

View more
  13 in total

1.  Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure.

Authors:  Richard J Holden; Anand Kulanthaivel; Saptarshi Purkayastha; Kathryn M Goggins; Sunil Kripalani
Journal:  Int J Med Inform       Date:  2017-10-09       Impact factor: 4.046

2.  A gamified app for supporting undergraduate students' mental health: A feasibility and usability study.

Authors:  Iolie Nicolaidou; Loizos Aristeidis; Lambros Lambrinos
Journal:  Digit Health       Date:  2022-06-21

3.  Systematic review of smartphone-based passive sensing for health and wellbeing.

Authors:  Victor P Cornet; Richard J Holden
Journal:  J Biomed Inform       Date:  2017-12-14       Impact factor: 6.317

4.  High Number of Daily Steps Recorded by Runners Recovering from Bone Stress Injuries.

Authors:  Brett G Toresdahl; Joseph Nguyen; Marci A Goolsby; Mark C Drakos; Stephen Lyman
Journal:  HSS J       Date:  2020-08-28

5.  Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study.

Authors:  Junqing Xie; Dong Wen; Lizhong Liang; Yuxi Jia; Li Gao; Jianbo Lei
Journal:  JMIR Mhealth Uhealth       Date:  2018-04-12       Impact factor: 4.773

6.  A Pilot Randomised Controlled Trial of a Text Messaging Intervention with Customisation Using Linked Data from Wireless Wearable Activity Monitors to Improve Risk Factors Following Gestational Diabetes.

Authors:  N Wah Cheung; Caron Blumenthal; Ben J Smith; Roslyn Hogan; Aravinda Thiagalingam; Julie Redfern; Tony Barry; Nancy Cinnadaio; Clara K Chow
Journal:  Nutrients       Date:  2019-03-11       Impact factor: 5.717

7.  Effect of home-based high-intensity interval training and behavioural modification using information and communication technology on cardiorespiratory fitness and exercise habits among sedentary breast cancer survivors: habit-B study protocol for a randomised controlled trial.

Authors:  Katsunori Tsuji; Eisuke Ochi; Ryo Okubo; Yoichi Shimizu; Aya Kuchiba; Taro Ueno; Taichi Shimazu; Takayuki Kinoshita; Naomi Sakurai; Yutaka Matsuoka
Journal:  BMJ Open       Date:  2019-08-22       Impact factor: 2.692

8.  Group Outdoor Health Walks Using Activity Trackers: Measurement and Implementation Insight from a Mixed Methods Feasibility Study.

Authors:  Katherine N Irvine; Melissa R Marselle; Alan Melrose; Sara L Warber
Journal:  Int J Environ Res Public Health       Date:  2020-04-07       Impact factor: 3.390

9.  Updating the Model: The Case for Independent Pharmacy to Embrace Digital Health.

Authors:  W Kyle Cornell; Kevin A Clauson; Jeff Cain
Journal:  Innov Pharm       Date:  2019-08-31

10.  Diet and Activity Assessments and Interventions Using Technology in Older Adults.

Authors:  Michelle Takemoto; Todd M Manini; Dori E Rosenberg; Amanda Lazar; Zvinka Z Zlatar; Sai Krupa Das; Jacqueline Kerr
Journal:  Am J Prev Med       Date:  2018-10       Impact factor: 5.043

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.