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. 2022 Mar 17;10(3):561. doi: 10.3390/healthcare10030561

The Effectiveness of Equine Therapy Intervention on Activities of Daily Living, Quality of Life, Mood, Balance and Gait in Individuals with Parkinson’s Disease

Anna Berardi 1, Giorgia Di Napoli 2, Monica Ernesto 3, Giovanni Fabbrini 1,4, Antonella Conte 1,4, Gina Ferrazzano 1, Fabio Viselli 3, Giovanni Galeoto 1,4,*
Editor: José Carmelo Adsuar Sala
PMCID: PMC8955834  PMID: 35327039

Abstract

Objectives: The objective of this study was to evaluate the efficacy of equine therapy (ET) to detect changes in the activities of daily living, quality of life, mood, balance, and gait in individuals with Parkinson’s disease (PD). Material and Methods: In the study, 17 participants with PD were recruited to participate in 10 sessions of ET. The inclusion criteria of the study were: second and third stages of the Hoehn and Yahr scale, Mini-Mental State Examination (MMSE) greater than or equal to 24 points, and age up to 85 years. The outcome measures administered at the beginning and the end of treatment relied on measurements from the Rivermead ADL scale, Parkinson’s Disease Questionnaire-39 (PDQ-39), Zung Self-Rating Depression Scale (SDS), unified Parkinson’s disease rating scale (UPDRS), and Tinetti balance assessment. Data from the stabilometric platform were also collected to objectify the value obtained by the Tinetti balance assessment. The ET program included 10 biweekly 45 min sessions. Results: The results obtained included statistically significant increases in measurements from the Rivermead ADL, PDQ-39, UPDRS, SDS, and Tinetti balance assessment scales. The stabilometric platform did not report significant changes in data. Conclusion: ET that was used as a supportive therapy for traditional treatments resulted in statistically significant improvements in the occupational performance, mood, quality of life, gait, and balance of the participants. Data from the stabilometric platform did not show significant changes.

Keywords: rehabilitation, Parkinson’s disease, disability, animal-assisted therapy

1. Introduction

Parkinson’s disease (PD) is a progressive and degenerative neurological disease that is characterized by tremor, retropulsion (a tendency to fall backwards), rigidity, postural instability, bradykinesia, and hypomimia or amimia. These are often accompanied by other motor symptoms, such as voice disturbances and swallowing and walking impediments, as well as non-motor symptoms, such as mood disturbances and cognitive impairments, which may begin years before the other symptoms [1]. The presence of motor and non-motor symptoms and functional and social limitations that cause deterioration in the quality of life of individuals and caregivers makes a timely intervention, not only with pharmacological treatment, but also with rehabilitation therapies, even more important [2].

Recently, innovative rehabilitative techniques such as virtual reality, robot-assisted therapy, and other unconventional therapies have become more common [3,4]. Animal-assisted therapy (AAT) is a therapeutic intervention aimed at the treatment of disorders of the physical sphere, including neurological, psychomotor, cognitive, emotional and relational disorders. The therapy is meant for individuals with physical, psychological, sensory or neurological pathologies. The intervention is individualized, it must be medically indicated, and it is based upon a team approach that considers the person and his or her specific treatment goals and objectives [5,6]. Animals used in the interventions include dogs, cats, horses, rabbits, and donkeys. These are animals that can provide an empathic and emotional response in their interactions with humans [5]. Scientific investigations on the human-animal bond and its potential for health interventions have increased in the last decades; this suggests that these therapies can provide a wide range of physiological and psychosocial benefits [7,8]. Among the other types of therapy, equine therapy (ET) has shown benefits in children with autism spectrum disorder (ASD), infants with infantile cerebral paralysis, and people with multiple sclerosis. Children with ASD showed improvements in postural stability, receptive communication, coping, and participation in daily activities. People with multiple sclerosis showed a significant improvement in balance, fatigue, spasticity, and quality of life [9]. Finally, children with cerebral palsy showed improvements from ET, including gross motor function, functional performance, postural control, and balance [10,11].

In the present study, it was decided to activate an ET project with people suffering from PD because horses offer physical and psychological therapy, both of which allow for physical, tactile, and emotional stimulation [12]. All these characteristics offered participants with PD a treatment aimed at improving balance and posture, gait, rigidity, and involuntary movements, as well as making it easier to navigate social-relational and behavioral spheres, act with self-control and pay attention. Self-awareness, self-esteem, motivation, and volition were all enhanced. Also, the context in which the treatment was performed played an important role because it took place in an external environment, not a hospital, and the well-qualified people who assisted participants did not wear hospital uniforms. All these elements helped to encourage people to become active partners in their own therapeutic interventions.

2. Methods

This outcome research study was conducted by healthcare professionals at Sapienza University of Rome and ROMA—Rehabilitation & Outcome Measures Assessment Association. The research group has carried out many outcome measures in Italy [13,14,15,16,17,18,19,20,21,22,23].

2.1. Participants

The present study included participants diagnosed with PD who were recruited at the San Giovanni Battista Hospital in Rome, Italy, between February 2017 and February 2018. Before starting the study, the participants were asked to view and sign a form for informed consent, for acceptance and acknowledgment of the specific treatment of assisted intervention with the animals, for the use of personal data, and for the creation of video and photographic materials [24,25]. The inclusion criteria considered were: age up to 85 years, second and third stages of the Hoehn and Yahr scale, and Mini–Mental State Examination (MMSE) greater than or equal to 24 [26,27]. People older than 85, with an MMSE value lower than 24 and with H&Y stage equal to I or VI, were excluded from this study, moreover, attendance was required at least at 85%.

2.2. Assessment Tools

In the present study, primary outcomes were defined as the improvement of quality of life, performance in activities of daily living (ADL), and the tone of mood. Secondary outcomes included changes in balance and gait. The tests administered in this study included five tools: Parkinson’s Disease Questionnaire-39 (PDQ-39) [28]; Rivermead ADL scale [29]; Zung Self-Rating Depression Scale (SDS) [30]; Tinetti balance assessment [31] and unified Parkinson’s disease rating scale (UPDRS) [32].

The PDQ-39 was used to evaluate the change in the quality of life before and after the intervention. PDQ-39 consists of 39 items, and it is divided into eight subscales: mobility, ADL, emotional well-being, stigma, social support, cognitive faculties, communication and physical discomfort [28,33].

The Rivermead ADL scale was used to evaluate changes in participants’ skills in self-care at the beginning and at the end of the intervention. It was divided into three sub-scales: 16 for self-care, 9 for Level I household activities, and 6 for Level II household activities. In this study, only the score for items related to self-care was considered [29,34].

The SDS was used to assess mood changes, depression, and anxiety before and after the study [30,35].

The Tinetti balance assessment tool was used to evaluate changes in balance and gait before and after surgery in an environment with disconnected and uneven terrain. It was divided into two sub-scales: 9 to evaluate the balance and 7 to examine the gait. The result corresponds to the sum of the scores obtained by the two sub-scales and is closely related to the risk of falling [31,36].

The UPDRS, used to assess the severity of symptoms and the patient’s prognosis, was administered by the reference neurologist [37,38]. In the present study, only the score concerning the evaluation of daily life activities was included.

In addition to the assessment scales, the stabilometric lux postural platform (global postural system, Udine, Italy) was used to compare and objectify the score obtained with the Tinetti balance assessment tool. It consists of three load cells arranged on a circumference at an angular distance of 120°, and it obtains indications on the position of the patient’s center of gravity before proceeding with an analysis of stability [39]. The variables measured were the following: Middle coronal center (DX-SX) (unit); Middle sagittal center (PST-ANT) (unit); Curved length (unit); 90% confidence ellipse area (unit); Average speed (unit/ms); Sampling frequency (Hz); Fundamental harmonic frequency (DX-SX) (Hz); Fundamental harmonic frequency (PST-ANT) (Hz).

2.3. Intervention

The ET program included ten 45-min-long sessions that took place twice a week. Before starting full activities with the horse, they were required to carry out activities of daily life and to report on how things went; such activities included wearing single-use overalls, changing shoes, and sanitizing hands. The next step was organizing the setting according to the characteristics of each participant, such as physical ability. The new setting was introduced at the first session, and this was followed by the approach and knowledge of the horse that, through the therapist’s mediation, allowed for the establishment of a relationship based on trust and mutual understanding between participant and horse. The activities included:

  • A caring and cleaning activity that allowed the participant to develop motor skills and coordination, cognitive skills (attention, memory), proprioception, and social–relational skills (Figure 1A).

  • A horse-assisted walking activity that could be carried out in different ways, including inside or outside the equestrian area, and on a path, with or without obstacles, on which the individual was asked to define times of pause and resumption of activity (Figure 1B).

  • A feeding activity that allowed the participant to develop relational and behavioral skills, with the creation of an even greater understanding with the animal (Figure 1C).

  • Vocalisation exercises to call the horse or provide commands during the activities, which contributed to increasing self-confidence.

  • Breathing exercises, assisted by the horse, with the aim of relaxing and reassuring the participant (Figure 1D).

Figure 1.

Figure 1

Vocalization exercises (A), care and cleaning activity (B), horse-assisted walking activity (C), and exercises of breathing (D) performed by individuals with Parkinson’s disease on the equine therapy program.

  • Other activities, based on individual preferences

At the end of the 10 sessions, which lasted about five weeks, a re-elaboration of the treatment was carried out, together with the participant, in which the emotions, experiences, perceptions, and gratification felt in participating in this study were gathered.

2.4. Data Analysis

Participants were evaluated at the beginning and the end of the treatment. A descriptive analysis was carried out to obtain general information such as gender, age, comorbidity, years of diagnosis, MMSE score and Hoehn and Yahr score. For inferential analysis, the Wilcoxon signed-rank test was used to calculate the statistical significance of the values obtained from the evaluation scales and tools used. The significance level was set for a p-value less than or equal to 0.05. Our 5 hypotheses were tested using Bonferroni adjusted alpha levels of 0.01 per test (0.05/5). When using the Self-rating Depression Scale, Unified Parkinson’s Scale Disease Rating, Rivermead Adl Scale, Scala di Tinetti, and Parkinson’s Disease Questionnaire-3, equine therapy intervention should improve the mental and mood state, the activities of daily life, and motor activity in people with PD. All the statistical analyses were performed by using IBM SPSS Statistics for Windows (Version 23.0; IBM Corp., Armonk, NY, USA).

3. Results

In the study, 17 participants who met the inclusion criteria were recruited. All were informed about the study aims and procedures, and all agreed to participate. All the included individuals completed the 10 ET program sessions. General participants’ data were collected, and mean, median and standard deviation and frequency were calculated. The sample was composed of 11 women (64.7%), the mean age of participants was 67.94 ± 10.77, 76.5% of participants were in H&Y stage III, and adherence to treatment was 100%. The descriptive analysis data are shown in Table 1.

Table 1.

Demographic characteristics of the 17 individuals with Parkinson’s disease participating to the Equine therapy program.

Sample 17
Gender male n° (%) 6 (35.3%)
Age mean ± SD (range) 67.94 ± 10.77 (52–78)
Years of diagnosis 7.35 ± 3.06
Height mean ± SD (range) 168.13 ± 10.42 (154–188)
Body weight mean ± SD (range) 67.63 ± 13.48 (45–90)
Body mass index mean ± SD (range) 23.84 ± 2.66 (29.40–18.73)
Comorbidity n° (%)
Cognitive decline 1 (5.9%)
Pisa syndrome 13 (76.5%)
Cognitive decline and Pisa syndrome 2 (11.8%)
No comorbidity 1 (5.9%)
MMSE mean ± SD 29.88 ± 2.78
Hoehn and Yahr n° (%)
Stage 2 4 (23.5%)
Stage 3 13 (76.5%)

The inferential analysis of the results of the administered evaluation tests reported the significant values, which were preceded by the calculation of the median and standard deviation at the beginning (T0) and the end (T1) after five weeks of treatment. Results are reported in Table 2.

Table 2.

Median at the beginning and after 10 sessions of equine therapy and calculation of the value of p of the administered assessment scales (Self-rating Depression Scale, Unified Parkinson’s Scale Disease Rating, Rivermead Adl Scale, Scala di Tinetti, and Parkinson’s Disease Questionnaire-39).

Rating Scale T0 Median ± Standard
Deviation
T1 Median ± Standard
Deviation
Wilcoxon Signed-Rank Test Statistical Significance Effect Size Power
Analysis
SDS 42.00 ± 7.45 34.00 ± 6.84 −3.212 p < 0.001 * −0.55 0.86
UPDRS 16.00 ± 8.45 11.00 ± 7.43 −3.189 p < 0.001 * −0.54 0.85
RAS 30.00 ± 6.12 38.00 ± 4.05 −3.520 p < 0.0004 * −0.60 0.91
Tinetti Total 16.00 ± 4.70 20.00 ± 4.82 −2.911 p < 0.004 * −0.49 0.72
Tinetti Gait 6.00 ± 2.52 8.00 ± 2.37 −2.822 p < 0.005 * −0.48 0.75
Tinetti Balance 9.00 ± 2.91 12.00 ± 2.65 −2.064 p < 0.039 −0.35 0.49
PDQ−39 Total 70.00 ± 29.09 52.00 ± 19.77 −3.55 p < 0.0003 * −0.60 0.91
Mobility Items 21.00 ± 11.64 10.00 ± 7.24 −3.578 p < 0.0003 * −0.61 0.92
Daily Life Activities Items 9.00 ± 6.89 6.00 ± 5.16 −3.066 p < 0.002 * −0.52 0.81
Emotional Well-being Items 11.00 ± 5.48 8.00 ± 4.87 −2.778 p < 0.005 * −0.47 0.74
Stigma Items 4.00 ± 3.78 3.00 ± 2.87 −2.023 p > 0.043 −0.34 0.47
Social Support Items 8.00 ± 2.45 8.00 ± 2.48 −1.633 p > 0.102 −0.28 0.34
Cognitive Skills Items 5.00 ± 3.06 4.00 ± 2.02 −2.483 p < 0.013 −0.42 0.64
Communication Items 3.00 ± 2.89 2.00 ± 2.36 −1.913 p > 0.056 −0.32 0.43
Physical Discomforts Items 5.00 ± 2.91 6.00 ± 3.43 −1.44 p > 0.150 −0.24 0.26

* p < 0.01 Bonferroni adjusted alpha levels.

The analysis of the data of the stabilometric platform revealed the significant values, which were preceded by the calculation of the median and standard deviation at the beginning and the end of treatment. Measurements were repeated with eyes open and with eyes closed; results are reported in Table 3.

Table 3.

Median at the beginning and after 10 sessions of equine therapy and calculation of the value of p for the stabilometric platform with open and closed eyes.

Values Open Eyes Closed Eyes
T0 Median ± Standard Deviation T1 Median ± Standard Deviation Wilcoxon Signed-Rank Test Statistical Significance Effect Size Power Analysis T0 Median ± Standard Deviation T1 Median ± Standard Deviation Wilcoxon Signed-Rank Test Statistical Significance Effect Size Power Analysis
Number of readings taken 3000 ± 0.00 3000 ± 0.00 0 p = 1.00 0 0.05 3000 ± 0.00 3000± 0.00 0 p = 1.00 0 0.05
Middle coronal center (DX-SX) (unit) −70 ± 9.85 −4.00 ± 12.83 −0.059 p < 0.95 −0.01 0.05 5.00 ± 7.887 2.00 ± 7.64 −0.598 p < 0.55 −0.10 0.08
Middle sagittal center (PST-ANT) (unit) −11.60 ± 17.44 −6.80 ± 21.89 −1.958 p < 0.50 −0.33 0.44 −3 ± 18.656 −5.50 ± 12.15 −0.889 p < 0.374 −0.15 0.13
Curved length (unit) 560 ± 83.71 600 ± 173.59 −2.073 p < 0.038 −0.35 0.49 586 ± 226.18 626 ± 155.14 −1.125 p < 0.260 −0.19 0.18
90% confidence ellipse area (unit) 32.00 ± 68.07 35 ± 63.31 −0.593 p < 0.553 −0.10 0.08 42 ± 72.729 50 ± 114.55 −1.007 p < 0.314 −0.17 0.15
Average speed (unit/ms) 0.00 ± 0.00 0.00 ± 0.00 0 p = 1.00 0 0.05 0.00 ± 0.00 0.00 ± 0.00 0 p = 1.00 0 0.05
Sampling frequency (Hz) 100 ± 0.00 100 ± 0.00 0 p = 1.00 0 0.05 100± 0.00 100 ± 0.00 0 p = 1.00 0 0.05
Fundamental harmonic frequency (DX-SX) (Hz) 0.00 ± 0.00 0.00 ± 0.00 0 p = 1.00 0 0.05 0.00 ± 0.00 0.00 ± 0.33 −1 p < 0.317 −0.17 0.15
Fundamental harmonic frequency (PST-ANT) (Hz) 0.00 ± 0.33 0.00 ± 0.00 −1 p < 0.317 −0.17 0.15 0.00 ± 0.00 0.00 ± 0.00 0 p < 1.00 0 0.05

4. Discussion

In the last decades, rehabilitative interventions that provide assistance to animals have spread with programs aimed at various diseases and populations. Scientific evidence for ET has reported benefits in children with ASD, infants with infantile cerebral paralysis, and people with multiple sclerosis [9,10,11,40].

The objective of the study was to evaluate the change in occupational performance, quality of life, mood, balance, pace, and ability to perform activities of daily life due to ET in people with PD. From the statistical analysis of the data, it emerged that those who participated in ET reported statistically significant improvements in mood, according to the analysis of the Zung Self-Rating Depression Scale and ADL data, the Rivermead ADL scale and the second sub-scale of the UPDRS. There were statistically significant improvements from the processing of PDQ-39 data, particularly in the categories of mobility, ADL, emotional well-being, stigma and cognitive abilities. A non-statistically significant clinical improvement was shown by items that concerned social support, communication, and physical discomfort. Statistical analysis of the Tinetti balance assessment tool was statistically significant. Bonferroni adjusted alpha levels confirms the effectiveness of ET in the mental and mood state, the activities of daily life and motor activity in people with PD.

In analyzing the two distinct sub-scales, it was seen that both gait and balance reported a statistically significant p-value. The improvement of balance did not result from postural assessment data obtained from stabilometric platform, which did not show statistically significant values. Scientific evidence shows that individuals with autism showed improvements in adaptive behaviors and in participation in self-care, low-demand leisure, and social interactions [40]. Recent studies outline that the therapeutic effects of AAT in the improvement of quality of life can be achieved with any human-animal interaction [41,42]. In the literature, individuals with multiple sclerosis benefit from ET in the areas of balance, fatigue, spasticity, and quality of life [9].

The results of our study can be completed with the results of a recent feasibility study that shows in non-hospitalized persons with PD an overall improvement in motor skills, as well as positive changes in spatiotemporal gait variables and ameliorated attention functioning and a decrease in apathy levels were also observed, as well as an increase in perceived quality of life [12] This study adds important results to the existing literature on improving the ADL, quality of life and balance in people with PD who engage in ET.

Limitations of the Study

For future studies, it is recommended that the sample size be increased and to use a stabilometric platform that is more sensitive to the clinical changes of individuals who undergo treatment as an evaluation tool. It is also advisable to investigate long-term benefits by repeating the evaluations everyone to three months. In future studies, more objective evidence such as brain imaging or neuroprotective factor release in horse-riding practice should be included [43,44,45]. Moreover, correlation with medication should be considered. Finally, in future studies, an extra control, such as a horse-riding simulator group is needed in order to distinguish the therapeutic effects is from the emotional exchange between human-animal interaction or the pure low-limb activity training.

5. Conclusions

In this study, it emerged that ET, as a supportive treatment for traditional treatments, is effective for the recovery of occupational performance, activities of daily life, mood, balance, gait, and quality of life in individuals with PD. This paper could be valuable to practitioners who use ET.

Author Contributions

G.G., G.D.N. and M.E.: conception and design of the study, analysis, and interpretation of data, drafting the manuscript; A.B., A.C. and G.F. (Gina Ferrazzano): analysis and interpretation of data, drafting the manuscript; A.B., G.F. (Giovanni Fabbrini), and F.V.: revising the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

We certify that all applicable institutional and governmental regulations concerning the ethical use of human volunteers were followed during the course of this research. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2013. Ethical approval was not required for this study; this outcome research study involves secondary use of clinical data (intervention program is regularly provided by the hospital with the approval of “Comitato Etico Policlinico Umberto I” number 4734 port. 944\17), which is provided without any identifier or group of identifiers which would allow attribution of private information to an individual.

Informed Consent Statement

Informed consent was obtained from all participants for being included in the study.

Data Availability Statement

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Reich S.G., Savitt J.M. Parkinson’s Disease. Med. Clin. N. Am. 2019;103:337–350. doi: 10.1016/j.mcna.2018.10.014. [DOI] [PubMed] [Google Scholar]
  • 2.Abbruzzese G., Marchese R., Avanzino L., Pelosin E. Rehabilitation for Parkinson’s disease: Current outlook and future challenges. Parkinsonism Relat. Disord. 2016;22((Suppl. S1)):S60–S64. doi: 10.1016/j.parkreldis.2015.09.005. [DOI] [PubMed] [Google Scholar]
  • 3.Dockx K., Bekkers E.M., Van den Bergh V., Ginis P., Rochester L., Hausdorff J.M., Mirelman A., Nieuwboerst A. Virtual reality for rehabilitation in Parkinson’s disease. Cochrane Database Syst. Rev. 2016;12:CD010760. doi: 10.1002/14651858.CD010760.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Cano Porras D., Siemonsma P., Inzelberg R., Zeilig G., Plotnik M. Advantages of virtual reality in the rehabilitation of balance and gait: Systematic review. Neurology. 2018;90:1017–1025. doi: 10.1212/WNL.0000000000005603. [DOI] [PubMed] [Google Scholar]
  • 5.Friedman E., Krause-Parello C.A. Companion animals and human health: Benefits, challenges, and the road ahead for human–animal interaction. Rev. Sci. Tech. L’OIE. 2018;37:71–82. doi: 10.20506/rst.37.1.2741. [DOI] [PubMed] [Google Scholar]
  • 6.Carillon B., Jarzebowski W., Fulpin B., Miliotis A., Bernadac A., Saint-Georges Chaumet Y., Belmin J. Effects of pony-assisted therapy on the behavior of older people with neurocognitive disorders living in nursing homes. Geriatr. Psychol. Neuropsychiatr. Vieil. 2020;18:273–282. doi: 10.1684/pnv.2020.0854. [DOI] [PubMed] [Google Scholar]
  • 7.Fiori G., Marzi T., Bartoli F., Bruni C., Ciceroni C., Palomba M., Zolferino M., Corsi E., Galimberti M., Moggi Pignone A., et al. The challenge of pet therapy in systemic sclerosis: Evidence for an impact on pain, anxiety, neuroticism and social interaction. Clin. Exp. Rheumatol. 2018;36((Suppl. S113)):135–141. [PubMed] [Google Scholar]
  • 8.Srinivasan S.M., Cavagnino D.T., Bhat A.N. Effects of Equine Therapy on Individuals with Autism Spectrum Disorder: A Systematic Review. Rev. J. Autism Dev. Disord. 2018;5:156–175. doi: 10.1007/s40489-018-0130-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Vermöhlen V., Schiller P., Schickendantz S., Drache M., Hussack S., Gerber-Grote A., Pöhlau D. Hippotherapy for patients with multiple sclerosis: A multicenter randomized controlled trial (MS-HIPPO) Mult. Scler. J. 2018;24:1375–1382. doi: 10.1177/1352458517721354. [DOI] [PubMed] [Google Scholar]
  • 10.Park E.S., Rha D.W., Shin J.S., Kim S., Jung S. Effects of hippotherapy on gross motor function and functional performance of children with cerebral palsy. Yonsei Med. J. 2014;55:1736–1742. doi: 10.3349/ymj.2014.55.6.1736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Moraes A., Silva M., Copetti F., Abreu A.C., David A.C. Hippotherapy in the postural control and balance in individuals with cerebral palsy: Systematic review. Rev. Neurociências. 2015;23:546–554. doi: 10.4181/RNC.2015.23.04.1062.09p. [DOI] [Google Scholar]
  • 12.Peppe A., Costa A., Cerino S., Caltagirone C., Alleva E., Borgi M., Cirulli F. Targeting gait and life quality in persons with Parkinson’s disease: Potential benefits of Equine-Assisted Interventions. Parkinsonism Relat. Disord. 2018;47:94–95. doi: 10.1016/j.parkreldis.2017.12.003. [DOI] [PubMed] [Google Scholar]
  • 13.Galeoto G., Turriziani S., Berardi A., Sansoni J., Santilli V., Mascio M., Paoloni M. Levels of Cognitive Functioning Assessment Scale: Italian cross-cultural adaptation and validation. Ann. Ig. 2020;32:16–26. doi: 10.7416/ai.2020.2326. [DOI] [PubMed] [Google Scholar]
  • 14.Galeoto G., Scialpi A., Grassi M.L., Berardi A., Valente D., Tofani M., Paoloni M. General Sleep Disturbance Scale: Translation, cultural adaptation, and psychometric properties of the Italian version. Cranio. 2021;39:326–334. doi: 10.1080/08869634.2019.1627067. [DOI] [PubMed] [Google Scholar]
  • 15.Ruotolo I., Berardi A., Sellitto G., Panuccio F., Polimeni A., Valente D., Galeoto G. Criterion Validity and Reliability of SF-12 Health Survey Version 2 (SF-12v2) in a Student Population during COVID-19 Pandemic: A Cross-Sectional Study. Depress. Res. Treat. 2021;2021:1–10. doi: 10.1155/2021/6624378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Berardi A., Regoli E., Tofani M., Valente D., Fabbrini G., Fabbrini A., Ruggieri M., Panuccio F., Galeoto G. Tools to assess the quality of life in patients with Parkinson’s disease: A systematic review. Expert Rev. Pharmacoecon. Outcomes Res. 2021;21:55–68. doi: 10.1080/14737167.2021.1841638. [DOI] [PubMed] [Google Scholar]
  • 17.Miniera F., Berardi A., Panuccio F., Valente D., Tofani M., Galeoto G. Measuring Environmental Barriers: Validation and Cultural Adaptation of the Italian Version of the Craig Hospital Inventory of Environmental Factors (CHIEF) Scale. Occup. Ther. Health Care. 2020;34:373–385. doi: 10.1080/07380577.2020.1834174. [DOI] [PubMed] [Google Scholar]
  • 18.Ioncoli M., Berardi A., Tofani M., Panuccio F., Servadio A., Valente D., Galeoto G. Crosscultural Validation of the Community Integration Questionnaire-Revised in an Italian Population. Occup. Ther. Int. 2020;2020:8916541. doi: 10.1155/2020/8916541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Panuccio F., Berardi A., Marquez M.A., Messina M.P., Valente D., Tofani M., Galeoto G. Development of the Pregnancy and Motherhood Evaluation Questionnaire (PMEQ) for evaluating and measuring the impact of physical disability on pregnancy and the management of motherhood: A pilot study. Disabil. Rehabil. 2020:1–7. doi: 10.1080/09638288.2020.1802520. [DOI] [PubMed] [Google Scholar]
  • 20.Tofani M., Castelli E., Sabbadini M., Berardi A., Murgia M., Servadio A., Galeoto G. Examining Reliability and Validity of the Jebsen-Taylor Hand Function Test Among Children with Cerebral Palsy. Percept. Mot. Ski. 2020;127:684–697. doi: 10.1177/0031512520920087. [DOI] [PubMed] [Google Scholar]
  • 21.Berardi A., Galeoto G., Lucibello L., Panuccio F., Valente D., Tofani M. Athletes with disability’ satisfaction with sport wheelchairs: An Italian cross sectional study. Disabil. Rehabil. Assist. Technol. 2020;16:420–424. doi: 10.1080/17483107.2020.1800114. [DOI] [PubMed] [Google Scholar]
  • 22.Fabbri B., Berardi A., Tofani M., Panuccio F., Ruotolo I., Sellitto G., Galeoto G. A systematic review of the psychometric properties of the Jebsen–Taylor Hand Function Test (JTHFT) Hand Surg. Rehabil. 2021;40:560–567. doi: 10.1016/j.hansur.2021.05.004. [DOI] [PubMed] [Google Scholar]
  • 23.Berardi A., Panuccio F., Pilli L., Tofani M., Valente D., Galeoto G. Evaluation instruments for executive functions in children and adolescents: A systematic review. Expert Rev. Pharm. Outcomes Res. 2021;21:1–12. doi: 10.1080/14737167.2021.1908889. [DOI] [PubMed] [Google Scholar]
  • 24.Galeoto G., De Santis R., Marcolini A., Cinelli A., Cecchi R. II consenso informato in Terapia Occupazionale: Proposta di una modulistica. G. Ital. Med. Lav. Ergon. 2016;38:107–115. [PubMed] [Google Scholar]
  • 25.Galeoto G., Mollica R., Astorino O., Cecchi R. II consenso informato in fisioterapia: Proposta di una modulistica. G. Ital. Med. Lav. Ergon. 2015;37:245–254. [PubMed] [Google Scholar]
  • 26.Folstein M.F., Folstein S.E., McHugh P.R. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatry Res. 1975;12:189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
  • 27.Pangman V.C., Sloan J., Guse L. An examination of psychometric properties of the Mini-Mental State Examination and the standardized Mini-Mental State Examination: Implications for clinical practice. Appl. Nurs. Res. 2000;13:209–213. doi: 10.1053/apnr.2000.9231. [DOI] [PubMed] [Google Scholar]
  • 28.Galeoto G., Colalelli F., Massai P., Berardi A., Tofani M., Pierantozzi M., Servadio A., Fabbrini A., Fabbrini G. Quality of life in Parkinson’s disease: Italian validation of the Parkinson’s Disease Questionnaire (PDQ-39-IT) Neurol. Sci. 2018;39:1903–1909. doi: 10.1007/s10072-018-3524-x. [DOI] [PubMed] [Google Scholar]
  • 29.Franchignoni F., Tesio L., Benevolo E., Ottonello M. Psychometric properties of the rivermead mobility index in Italian stroke rehabilitation inpatients. Clin. Rehabil. 2003;17:273–282. doi: 10.1191/0269215503cr608oa. [DOI] [PubMed] [Google Scholar]
  • 30.Innamorati M., Lelli M., Aiello S., Di lorenzo del Casale F.L., Russo S., Ferrari V. Convergent and discriminant validation of the Italian version of the Zung Self-Rating Depression Scale. Psicoter. Cogn. E Comport. 2006;12:343–353. [Google Scholar]
  • 31.Ricci G., Barrionuevo M.L., Bodini S., Cosso P., Locati L., Pagliari P., Sala S., Ianes A.B. Il Performance-Oriented Mobility Assessment (Scala di Tinetti) nell’assessment delle cadute: Analisi dell’importanza dei singoli item. G. Gerontol. 2013;1:126–135. [Google Scholar]
  • 32.Cova I., Di Battista M.E., Vanacore N., Papi C.P., Alampi G., Rubino A., Valente M., Meco G., Contri P., Di Pucchio A., et al. Validation of the Italian version of the Non Motor Symptoms Scale for Parkinson’s disease. Parkinsonism Relat. Disord. 2017;34:38–42. doi: 10.1016/j.parkreldis.2016.10.020. [DOI] [PubMed] [Google Scholar]
  • 33.Peto V., Jenkinson C., Fitzpatrick R., Greenhall R. The development and validation of a short measure of functioning and well being for individuals with Parkinson’s disease. Qual. Life Res. 1995;4:241–248. doi: 10.1007/BF02260863. [DOI] [PubMed] [Google Scholar]
  • 34.Lincoln N.B., Edmans J.A. A re-validation of the rivermead ADL scale for elderly patients with stroke. Age Ageing. 1990;19:19–24. doi: 10.1093/ageing/19.1.19. [DOI] [PubMed] [Google Scholar]
  • 35.Hamilton M. A rating scale for depression. J. Neurol. Neurosurg. Psychiatry. 1960;23:56–62. doi: 10.1136/jnnp.23.1.56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Tinetti M.E. Performance-oriented assessment of mobility problems in elderly patients. J. Am. Geriatr. Soc. 1986;34:119–126. doi: 10.1111/j.1532-5415.1986.tb05480.x. [DOI] [PubMed] [Google Scholar]
  • 37.Martínez-Martín P., Gil-Nagel A., Gracia L.M., Gómez J.B., Martínez-Sarriés J., Bermejo F. Unified Parkinson’s disease rating scale characteristics and structure. Mov. Disord. 1994;9:76–83. doi: 10.1002/mds.870090112. [DOI] [PubMed] [Google Scholar]
  • 38.Antonini A., Abbruzzese G., Ferini-Strambi L., Tilley B., Huang J., Stebbins G.T., Goetz C.G., Barone P., di Poggio M.B., Fabbrini G., et al. Validation of the Italian version of the Movement Disorder Society—Unified Parkinson’s Disease Rating Scale. Neurol. Sci. 2013;34:683–687. doi: 10.1007/s10072-012-1112-z. [DOI] [PubMed] [Google Scholar]
  • 39.Scoppa F., Capra R., Gallamini M., Shiffer R. Clinical stabilometry standardization. Basic definitions—Acquisition interval—Sampling frequency. Gait Posture. 2013;37:290–292. doi: 10.1016/j.gaitpost.2012.07.009. [DOI] [PubMed] [Google Scholar]
  • 40.Ajzenman H.F., Standeven J.W., Shurtleff T.L. Effect of hippotherapy on motor control, adaptive behaviors, and participation in children with autism spectrum disorder: A pilot study. Am. J. Occup. Ther. 2013;67:653–663. doi: 10.5014/ajot.2013.008383. [DOI] [PubMed] [Google Scholar]
  • 41.Scorza C.A., Guimarães-Marques M., Nejm M., Victorino D.B., Fiorini A.C., Finsterer J., Scorza F.A. Improving the quality of life of patients with Parkinson’s disease: Animal-assisted therapy in focus. Psychogeriatrics. 2020;20:810. doi: 10.1111/psyg.12575. [DOI] [PubMed] [Google Scholar]
  • 42.Boldig C.M., Butala N. Pet Therapy as a Nonpharmacological Treatment Option for Neurological Disorders: A Review of the Literature. Cureus. 2021;13:e16167. doi: 10.7759/cureus.16167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Zhu X., Suarez-Jimenez B., Zilcha-Mano S., Lazarov A., Arnon S., Lowell A.L., Bergman M., Ryba M., Hamilton A.J., Hamilton J.F., et al. Neural changes following equine-assisted therapy for posttraumatic stress disorder: A longitudinal multimodal imaging study. Hum. Brain Mapp. 2021;42:1930–1939. doi: 10.1002/hbm.25360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Ridgel A.L., Muller M.D., Kim C.-H., Fickes E.J., Mera T.O. Acute Effects of Passive Leg Cycling on Upper Extremity Tremor and Bradykinesia in Parkinson’s Disease. Phys. Sportsmed. 2011;39:83–93. doi: 10.3810/psm.2011.09.1924. [DOI] [PubMed] [Google Scholar]
  • 45.Frazzitta G., Bertotti G., Riboldazzi G., Turla M., Uccellini D., Boveri N., Guaglio G., Perini M., Comi C., Balbi P., et al. Effectiveness of Intensive Inpatient Rehabilitation Treatment on Disease Progression in Parkinsonian Patients. Neurorehabil. Neural Repair. 2012;26:144–150. doi: 10.1177/1545968311416990. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.


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