| Literature DB >> 27716673 |
Sandra Petersen1, Susan Houston2, Huanying Qin3, Corey Tague4, Jill Studley5.
Abstract
BACKGROUND: Behavioral problems may affect individuals with dementia, increasing the cost and burden of care. Pet therapy has been known to be emotionally beneficial for many years. Robotic pets have been shown to have similar positive effects without the negative aspects of traditional pets. Robotic pet therapy offers an alternative to traditional pet therapy.Entities:
Keywords: Animal assisted therapy; biofeedback; dementia; psychology; robotics
Mesh:
Year: 2017 PMID: 27716673 PMCID: PMC5181659 DOI: 10.3233/JAD-160703
Source DB: PubMed Journal: J Alzheimers Dis ISSN: 1387-2877 Impact factor: 4.472
Comparison in baseline characteristics, values presented as mean (std) unless specified. T test used for continuous variables and Chi-square test for categorical variables
| Control ( | Treatment ( | ||
| Age | 83.3 (6.0) | 83.5 (5.8) | 0.873 |
| Male, | 6 (23.1) | 8 (22.9) | 0.984 |
| Race, | |||
| Black | 0 (0) | 2 (5.9) | 0.448 |
| Hispanic | 1 (3.9) | 1 (2.9) | |
| White | 25 (96.1) | 31 (91.2) | |
| RAID | 9.2 (5.5) | 12 (6.3) | 0.070 |
| GDS | 5.3 (1.0) | 5.6 (0.8) | 0.155 |
| CSDD | 9.4 (4.8) | 12.5 (6.7) | 0.054 |
| GSV | 87.5 (5.9) | 86.0 (5.9) | 0.352 |
| PulseOX | 90.3 (17.7) | 94.8 (2.1) | 0.202 |
| PulseRate | 77.5 (9.5) | 75.4 (11.1) | 0.439 |
| Pain med | 6.1 (4.9) | 6.9 (7.1) | 0.639 |
| Sleep med | 3.9 (3.5) | 3.8 (3.5) | 0.901 |
| Depression med | 5.3 (3.6) | 5.8 (4.6) | 0.648 |
| Behavior med | 7.7 (9.7) | 9.2 (9.1) | 0.537 |
Comparison in outcome changes after therapies, values presented as mean (stderr). T test was used
| Difference (post – pre) | Control | Treatment | |
| RAID | 0.55 (0.2) | 2.5 (0.6) | 0.003 |
| GDS | –0.06 (0.1) | –0.07 (0.03) | 0.948 |
| CSDD | 0.78 (0.4) | 2.81 (0.4) | 0.001 |
| GSV | 0.99 (0.2) | 5.47 (1.3) | 0.0005 |
| PulseOx | 0.46 (0.1) | 1.66 (0.08) | 0.0001 |
| PulseRate | 0.08 (0.2) | –2.97 (0.2) | 0.0001 |
| Pain med dose | 0.26 (0.5) | –2.22 (0.7) | 0.005 |
| Sleep med dose | 0 (0) | 0.03 (0.6) | 0.955 |
| Depression med dose | 0 (0) | –0.68 (0.4) | 0.083 |
| Behavior med dose | –0.09 (0.09) | –2.09 (0.54) | 0.0009 |
P values from multivariable regression analysis – General Linear Model (GLM)
| Independent Variable | Dependent variables as difference between post- and pre- therapies | ||||||
| RAID | GDS | CSDD | PainMed | SleepMed | DepressionMed | BehaveMed | |
| Age | 0.738 | 0.699 | 0.563 | 0.847 | 0.549 | 0.540 | 0.678 |
| Gender | 0.914 | 0.478 | 0.401 | 0.743 | 0.321 | 0.356 | 0.689 |
| Group | 0.005 | 0.912 | 0.001 | 0.009 | 0.910 | 0.138 | 0.003 |
P values from multivariable regression analysis – Mixed Model
| Independent | Dependent variables as difference | ||
| Variable | between post- and pre- therapies | ||
| GSV | PulseOx | PulseRate | |
| Age | 0.568 | 0.873 | 0.384 |
| Gender | 0.214 | 0.616 | 0.812 |
| Group | 0.008 | 0.0001 | 0.0001 |
| Week | 0.310 | 0.641 | 0.072 |
| Day | 0.817 | 0.209 | 0.564 |
Fig.1Profiling of changes in biometric measures over time.