Literature DB >> 33575971

Increase in Daily Steps During the Early Phase of a Physical Activity Intervention for Type 2 Diabetes as a Predictor of Intervention Outcome.

Emily H Feig1,2, Lauren E Harnedy3, Christopher M Celano3,4, Jeff C Huffman3,4.   

Abstract

BACKGROUND: This pilot study aimed to test whether increase in daily steps and day-to-day consistency in daily steps during the first several weeks of a physical activity intervention predicted outcomes.
METHODS: This was a secondary analysis from two concurrent studies testing a positive psychology-motivational interviewing intervention to increase physical activity and positive affect in individuals with type 2 diabetes. Steps were measured with accelerometers at study assessments (baseline, end-of-treatment, and 8-week follow-up) and were measured daily throughout the intervention by participants using provided pedometers. We calculated change in steps from intervention week 1 to week 3, along with variability in daily steps over the first 3 weeks, using the best fitting regression line modeling their change. Multiple regression analyses tested whether these predictors were associated with change in physical activity at the end of treatment and at 8-week follow-up. Additionally, we explored the utility of specific cutoffs (e.g., 500 steps) for early step change using a minimum p-value approach.
RESULTS: In 52 participants, larger step increases by week 3 predicted activity increase at end-of-treatment and follow-up. Variability in early steps was not associated with outcomes. Early increase cutoffs of 500 and 2000 steps may have practical relevance.
CONCLUSION: Early response to a physical activity intervention appears to be a useful predictor of outcome and could be used to identify those unlikely to succeed in a given intervention early in treatment. TRIAL REGISTRATION: ClinicalTrials.gov identifiers NCT03150199 and NCT03001999.

Entities:  

Keywords:  Behavioral intervention; Physical activity; Positive psychology; Type 2 diabetes

Year:  2021        PMID: 33575971     DOI: 10.1007/s12529-021-09966-0

Source DB:  PubMed          Journal:  Int J Behav Med        ISSN: 1070-5503


  2 in total

1.  A qualitative investigation of activity measurement and change following a mind-body activity program for chronic pain.

Authors:  Paula J Popok; Jonathan Greenberg; Melissa V Gates; Ana-Maria Vranceanu
Journal:  Complement Ther Clin Pract       Date:  2021-05-02       Impact factor: 3.577

2.  Feasibility, Usability, and Effectiveness of a Machine Learning-Based Physical Activity Chatbot: Quasi-Experimental Study.

Authors:  Quyen G To; Chelsea Green; Corneel Vandelanotte
Journal:  JMIR Mhealth Uhealth       Date:  2021-11-26       Impact factor: 4.773

  2 in total

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