The understanding and interpretation of innovative technology-enabled multidimensional physical activity feedback in patients at risk of future chronic disease

PLoS ONE

Volumn 10, Issue 5, 2015, Pages

  Western, Max J ^a   Peacock, Oliver J ^a   Stathi, Afroditi ^a   Thompson, Dylan ^a  

^a University of Bath   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BEHAVIOR CHANGE; CHRONIC DISEASE; CLINICAL ARTICLE; COMPREHENSION; FEEDBACK SYSTEM; FEMALE; HEALTH BEHAVIOR; HEALTH CARE PERSONNEL; HIGH RISK PATIENT; HUMAN; IMAGE DISPLAY; INNOVATIVE TECHNOLOGY; MALE; MEDICAL INFORMATION; MIDDLE AGED; MOTIVATION; PHYSICAL ACTIVITY; SEMI STRUCTURED INTERVIEW; TECHNOLOGY; UNITED KINGDOM; VISUAL FEEDBACK; YOUNG ADULT; MOTOR ACTIVITY; RISK; SENSORY FEEDBACK;

ADULT; AGED; CHRONIC DISEASE; FEEDBACK, SENSORY; FEMALE; HEALTH BEHAVIOR; HUMANS; MALE; MIDDLE AGED; MOTOR ACTIVITY; RISK; TECHNOLOGY;

EID: 84929208859     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0126156     Document Type: Article

References (30)

1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT (2012) Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380: 219-229. doi: 10.1016/S0140-6736(12)61031-9 PMID: 22818936
2. Michie S, Abraham C, Whittington C, McAteer J, Gupta S (2009) Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol 28: 690-701. doi: 10.1037/a0016136 PMID: 19916637
3. Dombrowski SU, Sniehotta FF, Avenell A, Johnston M, MacLennan G, Araújo-Soares V (2012) Identifying active ingredients in complex behavioural interventions for obese adults with obesity-related co-morbidities or additional risk factors for co-morbidities: a systematic review. Health Psychol Rev 6: 7-32.
4. Chu S (2014) Samsung Galaxy Gear Fit Is An Apple iWatch Concept Come To Life, Features Stylish Curved LED Screen. International Digital Times.
5. Chen KY, Janz KF, Zhu W, Brychta RJ (2012) Redefining the roles of sensors in objective physical activity monitoring. Med Sci Sports Exerc 44: S13-23. doi: 10.1249/MSS.0b013e3182399bc8 PMID: 22157770
6. Thompson D, Batterham AM (2013) Towards integrated physical activity profiling. PLoS One 8: e56427. doi: 10.1371/journal.pone.0056427 PMID: 23437131
7. Turner JE, Markovitch D, Betts JA, Thompson D (2010) Nonprescribed physical activity energy expenditure is maintained with structured exercise and implicates a compensatory increase in energy intake. Am J Clin Nutr 92: 1009-1016. doi: 10.3945/ajcn.2010.29471 PMID: 20826629
8. Thompson D, Peacock O, Western MJ, Batterham AM (2015) Multidimensional physical activity profiling: An opportunity not a problem. Exercise and Sport Sciences Reviews.
9. Kirschenbaum DS (1987) Self-Regulatory Failure - a Review with Clinical Implications. Clin Psychol Rev 7: 77-104.
10. Weinstein ND, Rothman AJ, Sutton SR (1998) Stage theories of health behavior: conceptual and methodological issues. Health Psychol 17: 290-299. PMID: 9619480
11. Edwards A, Elwyn G, Mulley A (2002) Explaining risks: turning numerical data into meaningful pictures. Br Med J 324: 827-830. PMID: 11934777
12. Houts PS, Doak CC, Doak LG, Loscalzo MJ (2006) The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence. Patient Educ Couns 61: 173-190. PMID: 16122896
13. Patel MS, Asch DA, Volpp KG (2015) WEarable devices as facilitators, not drivers, of health behavior change. JAMA 313: 459-460. doi: 10.1001/jama.2014.14781 PMID: 25569175
14. Design Council T (2007) Eleven lessons: managing design in eleven global companies.
15. Johannsen DL, Calabro MA, Stewart J, Franke W, Rood JC, Welk GJ (2010) Accuracy of armband monitors for measuring daily energy expenditure in healthy adults. Med Sci Sports Exerc 42: 2134-2140. doi: 10.1249/MSS.0b013e3181e0b3ff PMID: 20386334
16. Lee JM, Kim Y, Welk GJ (2014) Validity of Consumer-Based Physical Activity Monitors. Med Sci Sports Exerc.
17. Fruin ML, Rankin JW (2004) Validity of a multi-sensor armband in estimating rest and exercise energy expenditure. Med Sci Sports Exerc 36: 1063-1069. PMID: 15179178
18. Scheers T, Philippaerts R, Lefevre J (2012) Variability in physical activity patterns as measured by the SenseWear Armband: how many days are needed? Eur J Appl Physiol 112: 1653-1662. doi: 10.1007/s00421-011-2131-9 PMID: 21874552
19. Schofield WN (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39 Suppl 1: 5-41. PMID: 4044297
20. Ritchie J, Spencer L (1994) Qualitative data analysis for applied policy research. In: Bryman A, Burgess R, editors. Analysing qualitative data. London: Routledge. pp. 173-194.
21. Kohl HW 3rd, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, et al. (2012) The pandemic of physical inactivity: global action for public health. Lancet 380: 294-305. doi: 10.1016/S0140-6736(12)60898-8 PMID: 22818941
22. DiClemente CC, Marinilli AS, Singh M, Bellino LE (2001) The role of feedback in the process of health behavior change. American Journal of Health Behavior 25: 217-227. PMID: 11322620
23. Erikssen G (2001) Physical fitness and changes in mortality: the survival of the fittest. Sports Med 31: 571-576. PMID: 11475318
24. Standage M, Ryan RM (2012) Self-determination theory and exercise motivation: Facilitating self-regulatory processes to support and maintain health and well-being. In: Roberts GC, Treasure DC, editors. Advances in motivation in sport and exercise. 3rd ed. Champaign, IL: Human Kinetics. pp. 233-270.
25. Greaves CJ, Sheppard KE, Abraham C, Hardeman W, Roden M, Evans PH, et al. (2011) Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health 11: 119. doi: 10.1186/1471-2458-11-119 PMID: 21333011
26. Michie S, West R, Spring B (2013) Moving from theory to practice and back in social and health psychology. Health Psychol 32: 581-585. doi: 10.1037/a0030205 PMID: 23646841
27. Yardley L, Morrison L, Bradbury K, Muller I (2015) The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions. Journal of medical Internet research 17: e30. doi: 10.2196/jmir.4055 PMID: 25639757
28. van Gemert-Pijnen JE, Nijland N, van Limburg M, Ossebaard HC, Kelders SM, Eysenbach G, et al. (2011) A holistic framework to improve the uptake and impact of eHealth technologies. Journal of medical Internet research 13.
29. Consolvo S, McDonald DW, Landay JA. Theory-driven design strategies for technologies that support behavior change in everyday life; 2009. ACM. pp. 405-414.
30. Consolvo S, Klasnja P, McDonald DW, Avrahami D, Froehlich J, LeGrand L, et al. Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays; 2008. ACM. pp. 54-63.