Examining Obedience Training as a Physical Activity Intervention for Dog Owners: Findings from the Stealth Pet Obedience Training (SPOT) Pilot Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Population
2.2. Procedures
2.3. Measures
2.3.1. Process Evaluation
2.3.2. Physical Activity and Sedentary Behavior
2.3.3. Psychosocial Outcomes
2.4. Statistical Analyses
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- Blackwell, D.L.; Clarke, T.C. State variation in meeting the 2008 federal guidelines for both aerobic and muscle-strengthening activities through leisure-time physical activity among adults aged 18–64: United States, 2010–2015. Natl. Health Stat. Rep. 2018, 112, 1–22. [Google Scholar]
- Segar, M.L.; Richardson, C.R. Prescribing pleasure and meaning cultivating walking motivation and maintenance. Am. J. Prev. Med. 2014, 47, 838–841. [Google Scholar] [CrossRef] [Green Version]
- Teixeira, P.J.; Carraça, E.V.; Markland, D.; Silva, M.N.; Ryan, R.M. Exercise, physical activity, and Self-Determination Theory: A systematic review. Int. J. Behav. Nutr. Phys. Act. 2012, 9, 78. [Google Scholar] [CrossRef] [Green Version]
- Robinson, T.N. Stealth interventions for obesity prevention and control: Motivating behavior change. In Obesity Prevention; Dubé, L., Bechara, A., Dagher, A., Drewnowski, A., Lebel, J., James, P., Yada, R.Y., Eds.; Academic Press: San Diego, CA, USA, 2010; Chapter 25; pp. 319–327. [Google Scholar]
- Robinson, T.N. Save the world, prevent obesity: Piggybacking on existing social and ideological movements. Obesity 2010, 18, S17–S22. [Google Scholar] [CrossRef]
- Hekler, E.B.; Gardner, C.D.; Robinson, T.N. Effects of a college course about food and society on students’ eating behaviors. Am. J. Prev. Med. 2010, 38, 543–547. [Google Scholar] [CrossRef]
- Robinson, T.N.; Killen, J.D.; Kraemer, H.C.; Wilson, D.M.; Matheson, D.M.; Haskell, W.L.; Pruitt, L.A.; Powell, T.M.; Owens, A.S.; Thompson, N.S.; et al. Dance and reducing television viewing to prevent weight gain in African-American girls: The Stanford GEMS pilot study. Ethn. Dis. 2003, 13, S65–S77. [Google Scholar]
- Weintraub, D.L.; Tirumalai, E.C.; Haydel, K.F.; Fujimoto, M.; Fulton, J.E.; Robinson, T.N. Team sports for overweight children: The Stanford Sports to Prevent Obesity Randomized Trial (SPORT). Arch. Pediatr. Adolesc. Med. 2008, 162, 232–237. [Google Scholar] [CrossRef] [Green Version]
- Applebaum, J.W.; Peek, C.W.; Zsembik, B.A. Examining U.S. pet ownership using the General Social Survey. Soc. Sci. J. 2020, 1–10. [Google Scholar] [CrossRef]
- Soares, J.; Epping, J.N.; Owens, C.J.; Brown, D.R.; Lankford, T.J.; Simoes, E.J.; Caspersen, C.J. Odds of getting adequate physical activity by dog walking. J. Phys. Act. Health 2015, 12, S102–S109. [Google Scholar] [CrossRef] [Green Version]
- Westgarth, C.; Christley, R.M.; Christian, H.E. How might we increase physical activity through dog walking? A comprehensive review of dog walking correlates. Int. J. Behav. Nutr. Phys. Act. 2014, 11, 83. [Google Scholar] [CrossRef] [Green Version]
- Westgarth, C.; Christian, H.E.; Christley, R.M. Factors associated with daily walking of dogs. BMC Vet. Res. 2015, 11, 116. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Westgarth, C.; Knuiman, M.; Christian, H.E. Understanding how dogs encourage and motivate walking: Cross-sectional findings from RESIDE. BMC Public Health 2016, 16, 1019. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Richards, E.A. Does dog walking predict physical activity participation: Results from a national survey. Am. J. Health Promot. 2016, 30, 323–330. [Google Scholar] [CrossRef]
- Clark, G.I.; Boyer, W.N. The effects of dog obedience training and behavioural counselling upon the human-canine relationship. Appl. Anim. Behav. Sci. 1993, 37, 147–159. [Google Scholar] [CrossRef]
- Bennett, P.C.; Rohlf, V.I. Owner-companion dog interactions: Relationships between demographic variables, potentially problematic behaviours, training engagement and shared activities. Appl. Anim. Behav. Sci. 2007, 102, 65–84. [Google Scholar] [CrossRef] [Green Version]
- Hoerster, K.D.; Mayer, J.A.; Sallis, J.F.; Pizzi, N.; Talley, S.; Pichon, L.C.; Butler, D.A. Dog walking: Its association with physical activity guideline adherence and its correlates. Prev. Med. 2011, 52, 33–38. [Google Scholar] [CrossRef]
- Tudor-Locke, C.; Barreira, T.V.; Schuna, J.M. Comparison of step outputs for waist and wrist accelerometer attachment sites. Med. Sci. Sports Exerc. 2015, 47, 839–842. [Google Scholar] [CrossRef]
- Ellis, K.; Kerr, J.; Godbole, S.; Lanckriet, G.; Wing, D.; Marshall, S. A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers. Physiol. Meas. 2014, 35, 2191–2203. [Google Scholar] [CrossRef]
- Migueles, J.H.; Cadenas-Sanchez, C.; Ekelund, U.; Delisle Nyström, C.; Mora-Gonzalez, J.; Löf, M.; Labayen, I.; Ruiz, J.R.; Ortega, F.B. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: A systematic review and practical considerations. Sports. Med. 2017, 47, 1821–1845. [Google Scholar] [CrossRef]
- Lyden, K.; Keadle, S.K.; Staudenmayer, J.; Freedson, P.S. A method to estimate free-living active and sedentary behavior from an accelerometer. Med. Sci. Sports Exerc. 2014, 46, 386–397. [Google Scholar] [CrossRef] [Green Version]
- Aadland, E.; Ylvisåker, E. Reliability of the Actigraph GT3X+ accelerometer in adults under free-living conditions. PLoS ONE 2015, 10, e0134606. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Freedson, P.S.; Melanson, E.; Sirard, J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med. Sci. Sports Exerc. 1998, 30, 777–781. [Google Scholar] [CrossRef] [PubMed]
- Troiano, R.P.; Berrigan, D.; Dodd, K.W.; Mâsse, L.C.; Tilert, T.; McDowell, M. Physical activity in the United States measured by accelerometer. Med. Sci. Sports Exerc. 2008, 40, 181–188. [Google Scholar] [CrossRef] [PubMed]
- Howell, T.J.; Bowen, J.; Fatjó, J.; Calvo, P.; Holloway, A.; Bennett, P.C. Development of the Cat-Owner Relationship Scale (CORS). Behav. Processes 2017, 141, 305–315. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Richards, E.A.; McDonough, M.H.; Edwards, N.E.; Lyle, R.M.; Troped, P.J. Development and Psychometric Testing of the Dogs and WalkinG Survey (DAWGS). Res. Q. Exerc. Sport 2013, 84, 492–502. [Google Scholar] [CrossRef] [Green Version]
- Sallis, J.F.; Pinski, R.B.; Grossman, R.M.; Patterson, T.L.; Nader, P.R. The Development of Self-Efficacy Scales for Health-Related Diet and Exercise Behaviors. Health Educ. Res. 1988, 3, 283–292. [Google Scholar] [CrossRef]
- Church, T.S.; Earnest, C.P.; Skinner, J.S.; Blair, S.N. Effects of different doses of physical activity on cardiorespiratory fitness among sedentary, overweight or obese postmenopausal women with elevated blood pressure: A randomized controlled trial. JAMA 2007, 297, 2081–2091. [Google Scholar] [CrossRef] [Green Version]
- Jordan, A.N.; Jurca, G.M.; Locke, C.T.; Church, T.S.; Blair, S.N. Pedometer indices for weekly physical activity recommendations in postmenopausal women. Med. Sci. Sports Exerc. 2005, 37, 1627–1632. [Google Scholar] [CrossRef]
- van der Laan, M.J.; Rose, S. Targeted Learning: Causal Inference for Observational and Experimental Data; Springer: New York, NY, USA, 2011. [Google Scholar]
- Rosenblum, M.; van der Laan, M.J. Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables. Int. J. Biostat. 2010, 6. [Google Scholar] [CrossRef] [Green Version]
- Balzer, L.B.; van der Laan, M.J.; Petersen, M.L.; SEARCH Collaboration. Adaptive pre-specification in randomized trials with and without pair-matching. Stat. Med. 2016, 35, 4528–4545. [Google Scholar] [CrossRef] [Green Version]
- Pivarnik, J.M.; Reeves, M.J.; Rafferty, A.P. Seasonal variation in adult leisure-time physical activity. Med. Sci. Sports Exerc. 2003, 35, 1004–1008. [Google Scholar] [CrossRef] [PubMed]
- Kushner, R.F.; Blatner, D.J.; Jewell, D.E.; Rudloff, K. The PPET study: People and pets exercising together. Obesity 2006, 14, 1762–1770. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rhodes, R.E.; Murray, H.; Temple, V.A.; Tuokko, H.; Higgins, J.W. Pilot study of a dog walking randomized intervention: Effects of a focus on canine exercise. Prev. Med. 2012, 54, 309–312. [Google Scholar] [CrossRef]
- Byers, C.G.; Wilson, C.C.; Stephens, M.B.; Goodie, J.L.; Netting, F.E.; Olsen, C.H. Owners and pets exercising together: Canine response to veterinarian-prescribed physical activity. Anthrozoös 2014, 27, 325–333. [Google Scholar] [CrossRef]
- Richards, E.A.; Ogata, N.; Cheng, C.-W. Evaluation of the Dogs, Physical Activity, and Walking (Dogs PAW) intervention: A randomized controlled trial. Nurs. Res. 2016, 65, 191–201. [Google Scholar] [CrossRef]
- Kraus, W.E.; Yates, T.; Tuomilehto, J.; Sun, J.-L.; Thomas, L.; McMurray, J.J.V.; Bethel, M.A.; Holman, R.R. Relationship between baseline physical activity assessed by pedometer count and new-onset diabetes in the NAVIGATOR trial. BMJ Open Diabetes Res. Care 2018, 6, e000523. [Google Scholar] [CrossRef]
- Yates, T.; Haffner, S.M.; Schulte, P.J.; Thomas, L.; Huffman, K.M.; Bales, C.W.; Califf, R.M.; Holman, R.R.; McMurray, J.J.V.; Bethel, M.A.; et al. Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR Trial): A cohort analysis. Lancet 2014, 383, 1059–1066. [Google Scholar] [CrossRef]
- Jefferis, B.J.; Parsons, T.J.; Sartini, C.; Ash, S.; Lennon, L.T.; Papacosta, O.; Morris, R.W.; Wannamethee, S.G.; Lee, I.-M.; Whincup, P.H. Does total volume of physical activity matter more than pattern for onset of CVD? A prospective cohort study of older British men. Int. J. Cardiol. 2019, 278, 267–272. [Google Scholar] [CrossRef] [Green Version]
- Dwyer, T.; Pezic, A.; Sun, C.; Cochrane, J.; Venn, A.; Srikanth, V.; Jones, G.; Shook, R.P.; Shook, R.; Sui, X.; et al. Objectively measured daily steps and subsequent long term all-cause mortality: The Tasped prospective cohort study. PLoS ONE 2015, 10, e0141274. [Google Scholar]
- Jefferis, B.J.; Parsons, T.J.; Sartini, C.; Ash, S.; Lennon, L.T.; Papacosta, O.; Morris, R.W.; Wannamethee, S.G.; Lee, I.-M.; Whincup, P.H. Objectively measured physical activity, sedentary behaviour and all-cause mortality in older men: Does volume of activity matter more than pattern of accumulation? Br. J. Sports Med. 2019, 53, 1013–1020. [Google Scholar] [CrossRef]
- Lee, I.-M.; Shiroma, E.J.; Kamada, M.; Bassett, D.R.; Matthews, C.E.; Buring, J.E. Association of step volume and intensity with all-cause mortality in older women. JAMA Intern. Med. 2019, 179, 1105–1112. [Google Scholar] [CrossRef]
- Tudor-Locke, C.; Han, H.; Aguiar, E.J.; Barreira, T.V.; Schuna, J.M., Jr.; Kang, M.; Rowe, D.A. How fast is fast enough? Walking cadence (steps/min) as a practical estimate of intensity in adults: A narrative Rreview. Br. J. Sports Med. 2018, 52, 776–788. [Google Scholar] [CrossRef]
- Bravata, D.M.; Smith-Spangler, C.; Sundaram, V.; Gienger, A.L.; Lin, N.; Lewis, R.; Stave, C.D.; Olkin, I.; Sirard, J.R. Using pedometers to increase physical activity and improve health: A systematic review. JAMA 2007, 298, 2296–2304. [Google Scholar] [CrossRef]
- Glasgow, R.E.; Vogt, T.M.; Boles, S.M. Evaluating the public health impact of health promotion interventions: The RE-AIM framework. Am. J. Public Health 1999, 89, 1322–1327. [Google Scholar] [CrossRef] [Green Version]
- Prince, S.A.; Saunders, T.J.; Gresty, K.; Reid, R.D. A comparison of the effectiveness of physical activity and sedentary behaviour interventions in reducing sedentary time in adults: A systematic review and meta-analysis of controlled trials: Interventions and sedentary behaviours. Obes. Rev. 2014, 15, 905–919. [Google Scholar] [CrossRef]
- Gardner, B.; Smith, L.; Lorencatto, F.; Hamer, M.; Biddle, S.J.H. How to reduce sitting time? A review of behaviour change strategies used in sedentary behaviour reduction interventions among adults. Health Psychol. Rev. 2016, 10, 89–112. [Google Scholar] [CrossRef] [Green Version]
- Garcia, D.O.; Wertheim, B.C.; Manson, J.E.; Chlebowski, R.T.; Volpe, S.L.; Howard, B.V.; Stefanick, M.L.; Thomson, C.A. Relationships between dog ownership and physical activity in postmenopausal women. Prev. Med. 2015, 70, 33–38. [Google Scholar] [CrossRef] [Green Version]
- White, M.N.; King, A.C.; Sallis, J.F.; Frank, L.D.; Saelens, B.E.; Conway, T.L.; Cain, K.L.; Kerr, J. Caregiving, transport-related, and demographic correlates of sedentary behavior in older adults: The Senior Neighborhood Quality of Life Study. J. Aging Health 2016, 28, 812–833. [Google Scholar] [CrossRef]
- Dall, P.M.; Ellis, S.L.H.; Ellis, B.M.; Grant, P.M.; Colyer, A.; Gee, N.R.; Granat, M.H.; Mills, D.S. The influence of dog ownership on objective measures of free-living physical activity and sedentary behaviour in community-dwelling older adults: A longitudinal case-controlled study. BMC Public Health 2017, 17. [Google Scholar] [CrossRef] [Green Version]
- Williams, D.M.; Rhodes, R.E. The confounded self-efficacy construct: Conceptual analysis and recommendations for future research. Health Psychol. Rev. 2016, 10, 113–128. [Google Scholar] [CrossRef] [Green Version]
- Rhodes, R.E.; Williams, D.M.; Mistry, C.D. Using short vignettes to disentangle perceived capability from motivation: A test using walking and resistance training behaviors. Psychol. Health Med. 2016, 21, 639–651. [Google Scholar] [CrossRef] [PubMed]
- Rhodes, R.E.; Courneya, K.S. Differentiating motivation and control in the Theory of Planned Behavior. Psychol. Health Med. 2004, 9, 205–215. [Google Scholar] [CrossRef]
- Potter, K.; Sartore-Baldwin, M. Dogs as support and motivation for physical activity. Curr. Sports Med. Rep. 2019, 18, 275–280. [Google Scholar] [CrossRef]
Overall (n = 39) | Intervention (n = 19) | Control (n = 20) | |
---|---|---|---|
Age, median (min–max) in years | 37 (21–72) | 39 (27–72) | 34 (21–54) |
Sex, n (%) female | 34 (87%) | 16 (84%) | 18 (90%) |
Race, n (%) non-Hispanic White | 34 (87%) | 18 (95%) | 16 (80%) |
Annual income, n (%) | |||
<$40,000 | 5 (13%) | 4 (21%) | 1 (5%) |
$40,000—$80,000 | 16 (41%) | 5 (26%) | 11 (55%) |
>$80,000 | 18 (46%) | 10 (53%) | 8 (40%) |
Education, n (%) | |||
High school or GED | 8 (21%) | 3 (16%) | 5 (25%) |
College degree | 15 (38%) | 8 (42%) | 7 (35%) |
Graduate or professional degree | 16 (41%) | 8 (42%) | 8 (40%) |
Body mass index, median (min–max) in kg/m2 | 30 (20.5–44.8) | 30 (20.5–44.8) | 29.8 (22.6–42.3) |
Dog’s age, median (min–max) in years | 3 (0–11) | 4 (0–10) | 2.8 (0–11) |
Dog’s size, n (%) | |||
Giant (>90 lbs) | 4 (10%) | 2 (11%) | 2 (10%) |
Large (50–90 lbs | 18 (46%) | 11 (58%) | 7 (35%) |
Medium (20–49 lbs) | 10 (26%) | 5 (26%) | 5 (25%) |
Small/toy (<20 lbs) | 7 (18%) | 1 (5%) | 6 (30%) |
Yard where dog can run freely, n (%) | 25 (64%) | 15 (79%) | 10 (50%) |
Agree or strongly agree with prompt “I am happy with the behavior of my dog”, n (%) | 8 (21%) | 3 (16%) | 5 (25%) |
Days/week with at least 1 dog walk, mean (SD) | 1.9 (2.1) | 1.7 (1.9) | 2.2 (2.4) |
Steps/day, mean (SD) | 5838 (2141) | 5840 (2132) | 5836 (2208) |
Moderate-to-vigorous physical activity (MVPA) minutes/day, mean (SD) | 22 (14) | 22 (16) | 21 (13) |
Sedentary minutes/day, mean (SD) | 542 (87) | 544 (68) | 540 (104) |
Emotional closeness with dog, median (min–max) 2 | 3.9 (2.4–5) | 3.7 (2.5–4.9) | 4.2 (2.4–5) |
Social support from dog for walking, median (min–max) 3 | 11 (3–15) | 11 (3–15) | 11 (7–15) |
Self-efficacy for dog walking, median (min–max) 3 | 29 (9–45) | 29 (9–45) | 30 (18–45) |
At Week 6 | At Week 12 | |||||
---|---|---|---|---|---|---|
Intervention Average | Control Average | Difference (95% CI) | Intervention Average | Control Average | Difference (95% CI) | |
Change in dog walking days/week 1 | 0.73 | −0.62 | 1.35 (0.21, 2.49) | 0.92 | −0.83 | 1.75 (0.58, 2.91) |
Change in sedentary minutes/day 1 | 2.10 | 16.00 | −13.90 (−41.20, 13.40) | 0.90 | 30.20 | −29.30 (−69.80, 11.20) |
Emotional closeness with dog 2 | 3.90 | 4.00 | 0 (−0.30, 0.20) | 3.80 | 4.10 | −0.30 (−0.50, 0) |
Social support from the dog for walking 3 | 11.20 | 10.40 | 0.70 (−0.90, 2.30) | |||
Self-efficacy for dog walking 3 | 31.90 | 29.00 | 2.90 (−0.70, 6.40) | 23.30 | 15.90 | 7.40 (−1.20, 15.90) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Potter, K.; Masteller, B.; Balzer, L.B. Examining Obedience Training as a Physical Activity Intervention for Dog Owners: Findings from the Stealth Pet Obedience Training (SPOT) Pilot Study. Int. J. Environ. Res. Public Health 2021, 18, 902. https://doi.org/10.3390/ijerph18030902
Potter K, Masteller B, Balzer LB. Examining Obedience Training as a Physical Activity Intervention for Dog Owners: Findings from the Stealth Pet Obedience Training (SPOT) Pilot Study. International Journal of Environmental Research and Public Health. 2021; 18(3):902. https://doi.org/10.3390/ijerph18030902
Chicago/Turabian StylePotter, Katie, Brittany Masteller, and Laura B. Balzer. 2021. "Examining Obedience Training as a Physical Activity Intervention for Dog Owners: Findings from the Stealth Pet Obedience Training (SPOT) Pilot Study" International Journal of Environmental Research and Public Health 18, no. 3: 902. https://doi.org/10.3390/ijerph18030902
APA StylePotter, K., Masteller, B., & Balzer, L. B. (2021). Examining Obedience Training as a Physical Activity Intervention for Dog Owners: Findings from the Stealth Pet Obedience Training (SPOT) Pilot Study. International Journal of Environmental Research and Public Health, 18(3), 902. https://doi.org/10.3390/ijerph18030902