Purpose. The SenseWear Armband (SWA) is a multisensor activity monitor that can be used in daily life to assess an individual’s physical activity level (PAL). The primary goal of this study was to analyze the impact of different types of feedback on the PAL of Flemish employees. Methods/Design. We recruited 320 sedentary employees (age, 41.0 ± 10.7 years; BMI, 26.2 ± 4.2 kg/m2) to participate in the 12-month study. Participants were randomized into one of four intervention groups after being measured for 7 days and nights by means of the SWA: (1) a minimal intervention group received no feedback (MIG, ); (2) a pedometer group was provided only information on their daily step count (PG, ); (3) a display group received feedback on calories burned, steps taken, and minutes of physical activity by means of the SWA display (DG, ); (4) a coaching group also received the display and had weekly meetings with a Personal Coach (CoachG, ). We hypothesize that participants receiving feedback (SG, DG, and CoachG) will have a greater increase in physical activity outcome variables compared to participants of the minimal intervention group. 1. Introduction Increasing daily physical activity (PA) is a key strategy for preventing or minimizing numerous chronic diseases [1, 2]. Daily PA consists of all occupational, domestic, and leisure-time activities. While participation in leisure-time activities has remained relatively stable over the years, technological advancements have drastically reduced occupational PA [3]. People spent more time at sedentary occupations or in work-related activities such as passive commuting (e.g., driving/riding in a motorized vehicle), which has a negative impact on total PA [4]. Given the benefits of regular PA and the current high prevalence of physical inactivity, people need strategies to increase their level of PA [5]. In 1996, the American College of Sports Medicine proposed PA guidelines which stated that 30 minutes of moderate-intensity exercise on most days provide some health benefits, notably, a decreased risk of chronic diseases. Moderate intensity PA is defined as activity performed at 3–6?MET and corresponds with the equivalent of walking 3-4?mph for most healthy adults. Because inactive people show measurable health benefits with only small increases in activity levels, these people should be targeted in health-promotion programs [6]. The physical activity level (PAL) of an individual is widely used as an indirect measure of physical activity energy expenditure. It can be measured or estimated from the average of 24-hour
References
[1]
V. S. Conn, A. R. Hafdahl, and D. R. Mehr, “Interventions to increase physical activity among healthy adults: meta-analysis of outcomes,” American Journal of Public Health, vol. 101, no. 4, pp. 751–758, 2011.
[2]
B. K. Pedersen and B. Saltin, “Evidence for prescribing exercise as therapy in chronic disease,” Scandinavian Journal of Medicine and Science in Sports, vol. 16, supplement 1, pp. 3–63, 2006.
[3]
J. O. Hill and E. L. Melanson, “Overview of the determinants of overweight and obesity: current evidence and research issues,” Medicine and Science in Sports and Exercise, vol. 31, no. 11, supplement, pp. S515–S521, 1999.
[4]
D. Van Dyck, G. Cardon, B. Deforche, N. Owen, J. F. Sallis, and I. De Bourdeaudhuij, “Neighborhood walkability and sedentary time in Belgian adults,” American Journal of Preventive Medicine, vol. 39, no. 1, pp. 25–32, 2010.
[5]
A. Bauman, F. Bull, T. Chey, et al., “The international prevalence study on physical activity: results from 20 countries,” International Journal of Behavioral Nutrition and Physical Activity, vol. 6, article 21, 2009.
[6]
R. R. Pate, M. Pratt, S. N. Blair et al., “Physical activity and public health: a recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine,” The Journal of the American Medical Association, vol. 273, no. 5, pp. 402–407, 1995.
[7]
A. E. Black, W. A. Coward, T. J. Cole, and A. M. Prentice, “Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements,” European Journal of Clinical Nutrition, vol. 50, no. 2, pp. 72–92, 1996.
[8]
N. D. Weinstein, A. J. Rothman, and S. R. Sutton, “Stage theories of health behavior: conceptual and methodological issues,” Health Psychology, vol. 17, no. 3, pp. 290–299, 1998.
[9]
K. I. Proper, A. J. van der Beek, V. H. Hildebrandt, J. W. R. Twisk, and W. van Mechelen, “Short term effect of feedback on fitness and health measurements on self reported appraisal of the stage of change,” British Journal of Sports Medicine, vol. 37, no. 6, pp. 529–534, 2003.
[10]
K. A. Croteau, “A preliminary study on the impact of a pedometer-based intervention on daily steps,” American Journal of Health Promotion, vol. 18, no. 3, pp. 217–220, 2004.
[11]
C. Tudor-Locke, D. R. Bassett, A. M. Swartz et al., “A preliminary study of one year of pedometer self-monitoring,” Annals of Behavioral Medicine, vol. 28, no. 3, pp. 158–162, 2004.
[12]
A. L. Morgan, D. A. Tobar, and L. Snyder, “Walking toward a new me: the impact of prescribed walking 10,000 steps/day on physical and psychological well-being,” Journal of Physical Activity and Health, vol. 7, no. 3, pp. 299–307, 2010.
[13]
C. Tudor-Locke, J. E. Williams, J. P. Reis, and D. Pluto, “Utility of pedometers for assessing physical activity: convergent validity,” Sports Medicine, vol. 32, no. 12, pp. 795–808, 2002.
[14]
P. L. Schneider, S. E. Crouter, and D. R. Bassett, “Pedometer measures of free-living physical activity: comparison of 13 models,” Medicine and Science in Sports and Exercise, vol. 36, no. 2, pp. 331–335, 2004.
[15]
P. S. Freedson and K. Miller, “Objective monitoring of physical activity using motion sensors and heart rate,” Research Quarterly for Exercise and Sport, vol. 71, no. 2, supplement, pp. S21–S29, 2000.
[16]
H. Sugiura, H. Sugiura, K. Kajima, S. M. Mirbod, H. Iwata, and T. Matsuoka, “Effects of long-term moderate exercise and increase in number of daily steps on serum lipids in women: randomised controlled trial [ISRCTN21921919],” BMC Women's Health, vol. 2, article 3, 2002.
[17]
N. Lauzon, C. B. Chan, A. M. Myers, and C. Tudor-Locke, “Participant experiences in a workplace pedometer-based physical activity program,” Journal of Physical Activity and Health, vol. 5, no. 5, pp. 675–687, 2008.
[18]
C. B. Chan, D. A. J. Ryan, and C. Tudor-Locke, “Health benefits of a pedometer-based physical activity intervention in sedentary workers,” Preventive Medicine, vol. 39, no. 6, pp. 1215–1222, 2004.
[19]
D. M. Bravata, C. Smith-Spangler, V. Sundaram et al., “Using pedometers to increase physical activity and improve health: a systematic review,” The Journal of the American Medical Association, vol. 298, no. 19, pp. 2296–2304, 2007.
[20]
K. L. Rennie and N. J. Wareham, “The validation of physical activity instruments for measuring energy expenditure: problems and pitfalls,” Public Health Nutrition, vol. 1, no. 4, pp. 265–271, 1998.
[21]
A. C. King, “Intervention strategies and determinants of physical activity and exercise behavior in adult and older adult men and women,” World Review of Nutrition and Dietetics, vol. 82, pp. 148–158, 1997.
[22]
M. K. Shilts, M. Horowitz, and M. S. Townsend, “Goal setting as a strategy for dietary and physical activity behavior change: a review of the literature,” American Journal of Health Promotion, vol. 19, no. 2, pp. 81–93, 2004.
[23]
K. W. Cullen, T. Baranowski, and S. P. Smith, “Using goal setting as a strategy for dietary behavior change,” Journal of the American Dietetic Association, vol. 101, no. 5, pp. 562–566, 2001.
[24]
E. A. Locke and G. P. Latham, “Building a practically useful theory of goal setting and task motivation: a 35-year odyssey,” American Psychologist, vol. 57, no. 9, pp. 705–717, 2002.
[25]
A. A. Paschali, G. K. Goodrick, A. Kalantzi-Azizi, D. Papadatou, and A. Balasubramanyam, “Accelerometer feedback to promote physical activity in adults with type 2 diabetes: a pilot study,” Perceptual and Motor Skills, vol. 100, no. 1, pp. 61–68, 2005.
[26]
L. Engl and H. Lindner, “Impact of using a pedometer on time spent walking in older adults with type 2 diabetes,” Diabetes Educator, vol. 32, no. 1, pp. 98–107, 2006.
[27]
R. K. Dishman, R. J. Vandenberg, R. W. Motl, M. G. Wilson, and D. M. Dejoy, “Dose relations between goal setting, theory-based correlates of goal setting and increases in physical activity during a workplace trial,” Health Education Research, vol. 25, no. 4, pp. 620–631, 2010.
[28]
E. L. Deci, H. Eghrari, B. C. Patrick, and D. R. Leone, “Facilitating internalization: the self-determination theory perspective,” Journal of Personality, vol. 62, no. 1, pp. 119–142, 1994.
[29]
E. L. Deci and R. M. Ryan, “The support of autonomy and the control of behavior,” Journal of Personality and Social Psychology, vol. 53, no. 6, pp. 1024–1037, 1987.
[30]
R. Koestner, N. Otis, T. A. Powers, L. Pelletier, and H. Gagnon, “Autonomous motivation, controlled motivation, and goal progress,” Journal of Personality, vol. 76, no. 5, pp. 1201–1230, 2008.
[31]
M. S. Fortier, G. C. Williams, S. N. Sweet, and H. Patrick, “Self-determination theory: process models for health behavior change,” in Emerging Theories in Health Promotion Practice and Research, R. J. Diclemente, R. A. Crosby, and M. C. Kegler, Eds., pp. 157–183, Jossey-Bass, San Francisco, Calif, USA, 2nd edition, 2009.
[32]
A. Bandura, “Health promotion by social cognitive means,” Health Education and Behavior, vol. 31, no. 2, pp. 143–164, 2004.
[33]
C. Keller, J. Fleury, N. Gregor-Holt, and T. Thompson, “Predictive ability of social cognitive theory in exercise research: an integrated literature review,” Online Journal of Knowledge Synthesis for Nursing, vol. 6, no. 2, article 2, 1999.
[34]
S. G. Trost, N. Owen, A. E. Bauman, J. F. Sallis, and W. Brown, “Correlates of adults' participation in physical activity: review and update,” Medicine and Science in Sports and Exercise, vol. 34, no. 12, pp. 1996–2001, 2002.
[35]
G. C. Williams, C. P. Niemiec, H. Patrick, R. M. Ryan, and E. L. Deci, “The importance of supporting autonomy and perceived competence in facilitating long-term tobacco abstinence,” Annals of Behavioral Medicine, vol. 37, no. 3, pp. 315–324, 2009.
[36]
P. C. Rouse, N. Ntoumanis, J. L. Duda, K. Jolly, and G. C. Williams, “In the beginning: role of autonomy support on the motivation, mental health and intentions of participants entering an exercise referral scheme,” Psychology and Health, vol. 26, pp. 729–749, 2011.
[37]
G. A. Mageau and R. J. Vallerand, “The coach-athlete relationship: a motivational model,” Journal of Sports Sciences, vol. 21, no. 11, pp. 883–904, 2003.
[38]
R. M. Ryan and E. L. Deci, “Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being,” American Psychologist, vol. 55, no. 1, pp. 68–78, 2000.
[39]
M. N. Silva, D. Markland, C. S. Minderico et al., “A randomized controlled trial to evaluate self-determination theory for exercise adherence and weight control: rationale and intervention description,” BMC Public Health, vol. 8, article 234, 2008.
[40]
H. Patrick and A. Canevello, “Methodological overview of a self-determination theory-based computerized intervention to promote leisure-time physical activity,” Psychology of Sport and Exercise, vol. 12, no. 1, pp. 13–19, 2011.
[41]
G. C. Williams, D. S. Minicucci, R. W. Kouides et al., “Self-determination, smoking, diet and health,” Health Education Research, vol. 17, no. 5, pp. 512–521, 2002.
[42]
T. Smeets, S. P. J. Kremers, J. Brug, and H. De Vries, “Effects of tailored feedback on multiple health behaviors,” Annals of Behavioral Medicine, vol. 33, no. 2, pp. 117–123, 2007.
[43]
H. De Vries, S. P. J. Kremers, T. Smeets, J. Brug, and K. Eijmael, “The effectiveness of tailored feedback and action plans in an intervention addressing multiple health behaviors,” American Journal of Health Promotion, vol. 22, no. 6, pp. 417–425, 2008.
[44]
D. R. Bassett Jr., “Validity and reliability issues in objective monitoring of physical activity,” Research Quarterly for Exercise and Sport, vol. 71, no. 2, supplement, pp. S30–S36, 2000.
[45]
L. Matton, K. Wijndaele, N. Duvigneaud et al., “Reliability and validity of the flemish physical activity computerized questionnaire in adults,” Research Quarterly for Exercise and Sport, vol. 78, no. 4, pp. 293–306, 2007.
[46]
T. Scheers, R. Philippaerts, and J. Lefevre, “Variability in physical activity patterns as measured by the SenseWear Armband: how many days are needed?” European Journal of Applied Physiology, vol. 112, no. 5, pp. 1653–1662, 2012.
[47]
M. L. Fruin and J. W. Rankin, “Validity of a multi-sensor Armband in estimating rest and exercise energy expenditure,” Medicine and Science in Sports and Exercise, vol. 36, no. 6, pp. 1063–1069, 2004.
[48]
D. Mignault, M. St.-Onge, A. D. Karelis, D. B. Allison, and R. Rabasa-Lhoret, “Evaluation of the portable HealthWear Armband: a device to measure total daily energy expenditure in free-living type 2 diabetic individuals,” Diabetes Care, vol. 28, no. 1, pp. 225–227, 2005.
[49]
M. St-Onge, D. Mignault, D. B. Allison, and R. Rabasa-Lhoret, “Evaluation of a portable device to measure daily energy expenditure in free-living adults,” American Journal of Clinical Nutrition, vol. 85, no. 3, pp. 742–749, 2007.
[50]
J. M. Jakicic, M. Marcus, K. I. Gallagher et al., “Evaluation of the SenseWear Pro Armband to assess energy expenditure during exercise,” Medicine and Science in Sports and Exercise, vol. 36, no. 5, pp. 897–904, 2004.
[51]
J. E. Berlin, K. L. Storti, and J. S. Brach, “Using activity monitors to measure physical activity in free-living conditions,” Physical Therapy, vol. 86, no. 8, pp. 1137–1145, 2006.
[52]
S. Berntsen, R. Hageberg, A. Aandstad et al., “Validity of physical activity monitors in adults participating in free-living activities,” British Journal of Sports Medicine, vol. 44, no. 9, pp. 657–664, 2010.
[53]
K. Koehler, H. Braun, M. de MarIes, G. Fusch, C. Fusch, and W. Schaenzer, “Assessing energy expenditure in male endurance athletes: validity of the sensewear armband,” Medicine and Science in Sports and Exercise, vol. 43, no. 7, pp. 1328–1333, 2011.
[54]
C. Drenowatz and J. C. Eisenmann, “Validation of the SenseWear Armband at high intensity exercise,” European Journal of Applied Physiology, vol. 111, no. 5, pp. 883–887, 2011.