A technology-enhanced weight-loss program in multiple-cat households: a randomized controlled trial

2021 ◽  
pp. 1098612X2110444
Author(s):  
Barr N Hadar ◽  
Kenneth J Lambrecht ◽  
Zvonimir Poljak ◽  
Jason B Coe ◽  
Elizabeth A Stone ◽  
...  

Objectives The objectives of this study were to determine whether a technology-enhanced weight-loss program, using a home pet health technology ecosystem, is an effective tool in feline weight-loss management in multiple-cat households and to evaluate its impact on cat behavior. Methods The study was a prospective parallel unmasked block-randomized controlled trial comparing two weight loss intervention groups: (1) traditional group with dietary restriction alone (n = 9); (2) technology group that used dietary restriction, digital scales, smart feeders, activity monitors and pet treat cameras (n = 6). A 12-week weight-loss program of client-owned indoor-only two- or three-cat households with at least one overweight cat was conducted in Canada and the USA. Owner impressions of the technology, weight loss rates, smart feeder data, activity monitor data and health-related quality of life (HRQoL) were assessed. Results The study was completed by 9/15 traditional group and 6/10 technology group cats. Dropouts were mainly due to owner issues unrelated to the study. The pet health technology ecosystem received favorable reviews (six responders). Smart feeders and home scales were perceived as valuable additions, while activity monitors and pet treat cameras were valued lower. The average weekly weight-loss rate (percent loss of initial body weight) was higher ( P = 0.036) in the technology group (0.694%) than in the traditional group (0.175%). Although not associated with weight-loss rates, technology group cats trended toward grazing feeding patterns and decreased daily activity counts, while HRQoL increased, on average, for all cats. Conclusions and relevance This introductory investigation suggests that a technology-enhanced weight-loss program would be accepted by cat owners and may deliver advantageous outcomes in multiple-cat households, providing an effective and practical tool in feline weight-loss strategies that will continue to evolve as new technologies become available. It also illustrates the potential value of data gathered from home monitoring devices and digital diaries, providing deeper insights into pet behavior.

2020 ◽  
Vol 39 (2) ◽  
pp. 137-146 ◽  
Author(s):  
Amy A. Gorin ◽  
Theodore A. Powers ◽  
Katelyn Gettens ◽  
Talea Cornelius ◽  
Richard Koestner ◽  
...  

2020 ◽  
Vol 16 (4) ◽  
pp. 503-514 ◽  
Author(s):  
Carla López-Padrós ◽  
Neus Salord ◽  
Carolina Alves ◽  
Núria Vilarrasa ◽  
Merce Gasa ◽  
...  

Obesity ◽  
2016 ◽  
Vol 24 (7) ◽  
pp. 1464-1470 ◽  
Author(s):  
Zhengxiong Yang ◽  
Zhiping Yu ◽  
Yingying Jiang ◽  
Yamin Bai ◽  
Karen Miller-Kovach ◽  
...  

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Kristian Traberg Larsen ◽  
Tao Huang ◽  
Lisbeth Runge Larsen ◽  
Line Grønholt Olesen ◽  
Lars Bo Andersen ◽  
...  

2019 ◽  
Vol 9 (6) ◽  
pp. 989-1001 ◽  
Author(s):  
Evan M Forman ◽  
Stephanie P Goldstein ◽  
Rebecca J Crochiere ◽  
Meghan L Butryn ◽  
Adrienne S Juarascio ◽  
...  

This randomized trial demonstrated qualified support for the ability of a machine learning-powered, smartphone-based just-in-time, adaptive intervention to enhance weight loss over and above a commercial weight loss program.


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