Effect of novel technology-enabled multidimensional physical activity feedback in primary care patients at risk of chronic disease – the MIPACT study: a randomised controlled trial

Autor: Afroditi Stathi, Dylan Thompson, Max Western, Paul Bennett, Enhad A. Chowdhury, Martyn Standage, Oliver Peacock, Alan Tapp, Alan M. Batterham
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0301 basic medicine
Male
Lifestyle intervention
Technology
Trainer
Medicine (miscellaneous)
Disease
law.invention
Top 5 Publication
0302 clinical medicine
Physical activity
Technology
Primary care
Cardiovascular disease
Diabetes
Lifestyle intervention
Randomized controlled trial
law
Medicine
030212 general & internal medicine
lcsh:RC620-627
Nutrition and Dietetics
Minimal clinically important difference
lcsh:Public aspects of medicine
Diabetes
Middle Aged
Primary care
Cardiovascular disease
Mobile Applications
lcsh:Nutritional diseases. Deficiency diseases
Health
Cardiovascular Diseases
Female
Medical Science
medicine.medical_specialty
Physical activity
Biomedical Technology
Monitoring
Ambulatory
Physical Therapy
Sports Therapy and Rehabilitation
03 medical and health sciences
Wearable Electronic Devices
Humans
In patient
Exercise
Life Style
Motivation
030109 nutrition & dietetics
business.industry
Research
Biomedical Sciences
Biofeedback
Psychology
lcsh:RA1-1270
United Kingdom
Chronic disease
Diabetes Mellitus
Type 2
Chronic Disease
Physical therapy
Health & Wellbeing
business
Energy Metabolism
Bristol Leadership and Change Centre
Zdroj: International Journal of Behavioral Nutrition and Physical Activity, Vol 17, Iss 1, Pp 1-13 (2020)
The International Journal of Behavioral Nutrition and Physical Activity
ISSN: 1479-5868
1800-8011
DOI: 10.1186/s12966-020-00998-5
Popis: Background Technological progress has enabled the provision of personalised feedback across multiple dimensions of physical activity that are important for health. Whether this multidimensional approach supports physical activity behaviour change has not yet been examined. Our objective was to examine the effectiveness of a novel digital system and app that provided multidimensional physical activity feedback combined with health trainer support in primary care patients identified as at risk of chronic disease. Methods MIPACT was a parallel-group, randomised controlled trial that recruited patients at medium (≥10 and n = 120) received personal multidimensional physical activity feedback using a customised digital system and web-app for 3 months plus five health trainer-led sessions. All participants received standardised information regarding physical activity. Control group participants (n = 84) received no further intervention. The primary outcome was device-based assessment of physical activity at 12 months. Results Mean intervention effects were: moderate-vigorous physical activity: -1.1 (95% CI, − 17.9 to 15.7) min/day; moderate-vigorous physical activity in ≥10-min bouts: 0.2 (− 14.2 to 14.6) min/day; Physical Activity Level (PAL): 0.00 (− 0.036 to 0.054); vigorous physical activity: 1.8 (− 0.8 to 4.2) min/day; and sedentary time: 10 (− 19.3 to 39.3) min/day. For all of these outcomes, the results showed that the groups were practically equivalent and statistically ruled out meaningful positive or negative effects (>minimum clinically important difference, MCID). However, there was profound physical activity multidimensionality, and only a small proportion (5%) of patients had consistently low physical activity across all dimensions. Conclusion In patients at risk of cardiovascular disease and/or type II diabetes, MIPACT did not increase mean physical activity. Using a sophisticated multidimensional digital approach revealed enormous heterogeneity in baseline physical activity in primary care patients, and practitioners may need to screen for low physical activity across dimensions rather than rely on disease-risk algorithms that are heavily influenced by age. Trial registration This trial is registered with the ISRCTN registry (ISRCTN18008011; registration date 31 July 2013).
Databáze: OpenAIRE
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