ArticlePDF Available

Equine-assisted learning reduces anxiety and increases calmness & social skills in young people

Authors:

Abstract

Since the COVID-19 pandemic, referrals to equine-assisted services (EAS) have increased, with a majority of referrals focusing on social, mental, and emotional health, and anxiety frequently included as a referral reason. Early intervention could help prevent ongoing health concerns from untreated anxiety disorders; this quantitative before and after measures study evaluates an equine-assisted learning program involved in developing positive social and coping skills in participants with anxiety. Participants with anxiety aged between 8 and 18 were referred to the program (n = 166), and referrers rated their skills on eight attributes at referral and at a 2-month follow-up after the program, which consisted of 5 × 2 h sessions of learning natural horsemanship groundwork. Significant improvements across all eight attributes at post-test, as well as the total score for all attributes combined (p < 0.001), were observed. The eight attributes were assertiveness, focus, responsibility, empathy, calmness, planning, communication, and engagement in learning. There was a significant interaction between Time and Age for Planning and Empathy attributes, suggesting that early adolescence (ages 11–14) is a key period for providing early interventions for skill development, which may help reduce anxiety in other contexts.
Research Article
Published: 2024-11-28
https://doi.org/10.20935/MHealthWellB7424
1Department of Medical Science & Public Health, Bournemouth University, Poole, Dorset BH12 5BB, UK.
*email: ahemingway@bournemouth.ac.uk
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 1 of 11
Equine-assisted learning reduces anxiety and increases
calmness and social skills in young people
Kezia Sullivan1, Ann Hemingway1,*
Academic Editor: Massimo Pasquini
Abstract
Since the COVID-19 pandemic, referrals to equine-assisted services (EAS) have increased, with a majority of referrals focusing on
social, mental, and emotional health, and anxiety frequently included as a referral reason. Early intervention could help prevent
ongoing health concerns from untreated anxiety disorders; this quantitative before and after measures study evaluates an equine-
assisted learning program involved in developing positive social and coping skills in participants with anxiety. Participants with anxiety
aged between 8 and 18 were referred to the program (n = 166), and referrers rated their skills on eight attributes at referral and at a 2-
month follow-up after the program, which consisted of 5 × 2 h sessions of learning natural horsemanship groundwork. Significant
improvements across all eight attributes at post-test, as well as the total score for all attributes combined (p < 0.001), were observed.
The eight attributes were assertiveness, focus, responsibility, empathy, calmness, planning, communication, and engagement in
learning. There was a significant interaction between Time and Age for Planning and Empathy attributes, suggesting that early
adolescence (ages 1114) is a key period for providing early interventions for skill development, which may help reduce anxiety in other
contexts.
Keywords: equine assisted, anxiety, calmness, social skills, young people, adolescents, equine-assisted learning (EAL), equine
facilitated services, mental health
Citation: Sullivan K, Hemingway A. Equine-assisted learning reduces anxiety and increases calmness and social skills in young people.
Academia Mental Health and Well-Being 2024;1. https://doi.org/10.20935/MHealthWellB7424
1. Introduction
1.1. Context
The prevalence of poor mental health in young people has in-
creased in recent years, in part due to the COVID-19 crisis [1, 2],
with some studies reporting that males aged 1115 were particu-
larly affected [1]. Although a wide range of mental health issues
in young people have increased because of the COVID-19 pan-
demic, including depression, post-traumatic stress disorder
(PTSD), and eating disorders [1], the most commonly reported
mental health concern was anxiety [3].
Anxiety has a very high prevalence among young people, with re-
search by Zulfiqarova and Dresp-Langley [4] finding that in a
sample of students at a French university, 60% met the criteria
for moderate, severe, or very severe generalized anxiety disorder
(GAD). Several contributory factors have been suggested, includ-
ing the rise of social media [5], reduced time spent in nature set
against humankinds inherent biophilia [6, 7], social isolation
[8], and overexposure to digital media [9].
Among many features that contribute to the efficacy of equine-as-
sisted services (EAS) for improving the mental health of young peo-
ple, EAS are typically delivered in natural outdoor environments, of-
ten with a focus on developing embodied emotional skills through
experiential learning [10]. This may, therefore, provide a contrast to
hyper-digital urban environments where young people may feel iso-
lated, stressed, and anxious and to typical educational settings that
tend not to favor kinesthetic learning.
1.2. Anxiety in adolescents
The high prevalence of anxiety disorders in young people high-
lights the necessity for developing interventions that support
young peoples mental health. Anxiety can have debilitating ef-
fects, with far-ranging impacts such as increased risk of physical
disease [11] and contributing to comorbid mental health disor-
ders, particularly when anxiety is chronic or has an early age of
onset. Davies et al. [12] found that major depressive disorders
that developed following anxiety disorders were likely to have
younger ages of onset, as well as greater clinical complexity and
significance. Early intervention to reduce the development of
anxiety disorders is, therefore, critical, with Altamura et al. [13]
suggesting that longer periods of untreated illness can lead to re-
duced responsiveness to treatment.
Adolescence is likely a key time for providing early interventions
to prevent the development and maintenance of anxiety, as it falls
within a primary developmental window for several anxiety dis-
orders [14]. Campbell et al. [15] found that earlier-onset anxiety
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 2 of 11
was associated with increased severity, likelihood of comorbidity,
and emotional disorders. Lim et al. [16] found that earlier-onset
anxiety was associated with greater behavioral inhibitions. A
study among young children found that participants with greater
attentional shifting skills were less likely to have anxiety symp-
toms at a later assessment, whereas those with higher inhibitory
control were more likely to have anxiety symptoms. It is sug-
gested that this is due to fear-motivated tendency to try to
overcontrol, leading to an increased experience of anxiety [17].
Adolescence is a time of extensive change to an individuals phys-
ical and social context [18], which requires great flexibility to nav-
igate successfully; excess behavioral inhibition and rigidity could
lead to exacerbation of anxiety in adolescents.
Research by Troller-Renfree et al. [19, 20] found that behavioral
inhibition alone does not increase the risk of developing anxiety
disorders in children, but that it may be moderated by excess in-
hibitory control. Equine-assisted programs such as the one under
study here may offer participants the chance to break out of ex-
cess inhibitory control as horses respond quickly to environmen-
tal changes and cues, requiring intuitive choices to be made as
participants experience inter-affectivity and close attunement
with the movements of the horses [21]. This could support par-
ticipants to reduce their reliance on an excess of fear-based con-
trol, instead developing positive coping skills toward a more re-
laxed and responsive mode of social engagement. This is sup-
ported by the finding that neurological precursors to excess in-
hibitory control can be observed prior to the diagnosis of anxiety.
A machine learning study by Chavanne et al. [22] found that the
development of clinical anxiety by ages 1823 can be predicted
from volumes of gray matter in certain brain regions at the age of
14, as shown by a functional magnetic resonance imaging (fMRI).
These regions include higher volumes of the caudate nucleus, a
region associated with executive function and impulse control
[23], and the pallidum, which is associated with intentional
movement and proprioception [24]. The equine-assisted service
under study here offers a chance to practice these skills in a re-
laxed way through interactions with the horses, delivering feed-
back around effective communication via the responses of the
horse in the moment. This could help participants calibrate their
impulse control to a degree that is helpful for social interactions,
rather than exacerbating anxiety [25].
Research by Siddaway et al. [26] identified that both state and
trait anxiety range along continuums from high calmness to high
anxiety, indicating that the development of calmness as a skill is
mutually exclusive with anxiety. Furthermore, Siddaway et al.
[26] found that the degree of calmness or anxiety experienced is
related to other psychiatric conditions such as depression and
substance abuse, with higher anxiety typically associated with in-
creased risks of other psychiatric conditions. This indicates that
interventions that support participants to develop positive cop-
ing skills which lead to increased calmness are likely to be pre-
ventative against a range of psychiatric conditions, some of which
may be related to underlying anxiety.
1.3. Equine-assisted learning and anxiety
Research by Bui et al. [27] highlighted the need for innovative anxi-
ety treatments, following limited developments in pharmacological
interventions across the past 30 years. In recent years, EAS have
grown in popularity, often working with participants who are unable
or unwilling to participate in talk-based therapies. Many equine-as-
sisted learning programs have seen increased referrals since the
COVID-19 pandemic, the largest proportion of which are associated
with social, mental, and emotional health [28].
There are a wide range of EAS available in the United Kingdom,
including hippotherapy, equine-assisted therapy (EAT), and eq-
uine-assisted learning (EAL). These terms are frequently con-
flated as there are currently no set standards within the EAS in-
dustry [29]. Therefore, EAL is defined as activities carried out
around horses, donkeys, or mules (such as basic horse care and a
range of activities with the horse), which contribute to learning
transferrable skills for use outside an equine setting. EAL is usu-
ally delivered by facilitators with good horsemanship skills, but
they are not required to be mental health professionals. This
study will focus on research pertaining to EAL, to start to develop
distinctions between these frequently conflated fields of practice.
This is important to clarify the evidence base around each type of
EAS, developing the understanding of how various types of ser-
vices support participants, and which participant needs each ser-
vice might be effective for.
A variety of outcomes are beginning to be recognized within EAL,
leading to a broad range of referrals to programs. Pendry and
Roeter [30] found that an EAL program increased social compe-
tence, supporting the development of social connections that
could lead to reduced anxiety. Furthermore, Osbourn [31] found
a significant impact of an EAL program for adolescents with anx-
iety, while a study by Davies and Stanton [32] also found that
anxiety was significantly reduced in rural young people following
a 6-week EAL program. Participants learned several topics
around anxiety reduction alongside the activities with the horses
such as mindfulness techniques, journalling, and breathing exer-
cises, with the horses described as the key motivation for attend-
ing the sessions. There were seven participants in the study by
Davies and Stanton [32], yielding qualitative insights around
anxiety and self-efficacy, as well as finding a statistically signifi-
cant improvement on the GAD-7 scale, indicating a large effect
size of the EAL program, although this is a very small sample size.
These emerging effects may be due to the emotional safety experi-
enced by participants in EAL settings as they are able to feel safe, re-
spected, and connected [33]. Participants were interviewed follow-
ing an EAL program, describing feeling calm and trusting the horses,
contributing to the perception of emotional safety. Veale et al. [34]
described emotional safety as essential for meeting the needs of
those with mental health issues; the program under study was in-
strumental in developing skills essential for emotional safety to sup-
port participants in behaving in emotionally safe ways, both inter-
nally and in their relationships with other people. These skills in-
clude assertiveness and boundary setting [35], as well as communi-
cation and empathy [36]. These skills can improve social relation-
ships [37], which can in turn prevent isolation which contributes to
an increased risk of anxiety [38].
EAL programs are usually undertaken over a medium term of
around 612 weeks as they are often integrated with school
terms. However, the program under study here offers partici-
pants an intensive course of 5 × 2-hour sessions over the course
of a week. Green [39] suggests that within an equine context,
changes can be achieved in a single session due to the embodied
nature of the experience, where participants learn to communi-
cate with the horses through body language, resulting in rapid
embodied learning [25].
Research into the effects of EAL suggests that social competence
and anxiety may be improved via EAL; this is reinforced by the
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 3 of 11
findings that many referrals relate to these topics, suggesting
wider acceptance of EAL as effective in these areas with the refer-
rers local teams or organizations. These include social workers
(local authorities), teachers (local schools), and CAMHS (Child
and Adolescent Mental Health Services, NHS) teams. This study
will examine whether a short course of EAL will support partici-
pants with anxiety to develop improved skills such as calmness, em-
pathy, and planning, which are aimed at contributing to reducing
anxiety outside of the program through improved social connections
and improved calibration of inhibitory control.
1.4. The intervention
The intervention works with principles of natural horsemanship,
focusing on developing partnerships and harmonious communi-
cation through body language, as well as recognizing and re-
sponding to the experiences of the horses during tasks. The tasks
are linked to the behaviors to be developed from the Skills Star
(see Figure S1, Supplementary materials)for example, fetch-
ing hay for a horse as part of perspective-taking and empathy,
and leading the horse at liberty (without a lead-rope, using only
body language) to demonstrate and develop focus.
The tasks are designed to increase harmony between the partici-
pant and the horse by developing the necessary skills for each
participant. For example, excessively shy participants might
learn assertiveness by practicing leading on the outside of a turn,
which requires them to hold their own personal space in order to
maintain harmony. Each session focuses on a series of tasks that
are chosen according to the development needs of the partici-
pant, as well as taking into account the experience of the horse on
the day. Activities are built up over the course of the 5 days, so
that the participants are supported in being successful at each
stage.
1.5. Current study setting
The setting and EAL program for this study are the same as the
setting described in Hemingway and Sullivan [29]. Therefore, it
is not fully reproduced here. However, welfare and ethics are crit-
ical to the safe and ethical practice of EAL, and hence, they are
described in the following.
1.6. Equine welfare, handling, and selection
Each horse involved in the course is provided with access to a
natural environment including trees, hedges, and other horses.
The horses primarily live outdoors, with free movement between
barns and fields according to their choice. Each horse has a light
workload, which is logged in line with the charities welfare policy
and averages approximately 5 hours per week. The horses are
consistently handled and trained using natural horsemanship by
facilitators trained in natural horsemanship, as informed by the
charities’ welfare policies. The center also holds a local authority
welfare license. All horses are vet-checked and receive routine
farriery and dental care. Rescue horses are also retrained before
taking part in the program and then are rehomed as appropriate
through the charities registered rescue charity.
1.7. Ethics
The researchers employing universities ethics panel (REF, 8750)
granted ethical approval for this study. The data were accessed via
the charity through a data-sharing agreement, and all data were
anonymized prior to being shared with the researchers. All anony-
mized data were stored on a password-protected university com-
puter in compliance with UK data management and storage Data
Protection Law. The registered charity under study here carries out
risk assessments for all participants, and participants are always ac-
companied when around the horses. The ethical review included
welfare implications for the horses during the program, ensuring
their well-being and humane treatment throughout. The ethogram
of horse behavior [40] was used to observe the horses throughout
the course for possible stress/distress. All activities would cease im-
mediately if any distress was observed. Horses are highly sensitive
and are easily stressed, and therefore, their welfare must be priori-
tized in EAL interventions.
2. Materials and methods
This before and after measures study uses quantitative data col-
lected by an EAL intervention to explore whether the 5-day EAL
course improves the social skills of participants referred to the
course with anxiety. The course teaches the participants to com-
municate with horses using their body language to play games
and lead and move with the horses on a long rope and the partic-
ipant on the ground. The anxiety category for all participants was
recorded on the written referral forms for the intervention. The
Skills Star measures were completed by the referrer to the pro-
gramnormally a social worker, teacher, or CAMHS team mem-
ber at referral and at a 2-month follow-up to generate a score for
each skill, ranging between 0 (Stuck) and 4 (Independent,
needs littleno support).
The measures were a modified mental health recovery star with
eight attributes ([41, 42], see Figure S1, Supplementary materi-
als), in line with the standard practice of the intervention and the
observational design of this study. The degree of participant anx-
iety was inversely assessed via “Calmness” scores on the modified
mental health recovery star.
2.1. Participants
The study was a before and after measures study, including anon-
ymized data from a total of 166 participants aged between 8 and
18 years with an average age of 12.8 years, who were referred with
anxiety. Of these, 113 participants were female and 53 partici-
pants were male. For the analyses, participants were grouped
into four age categories, which corresponded to education Key
Stage levels in the United Kingdom. The categories were as fol-
lows: 810 years old, 1112 years old, 1314 years old, and 1518
years old; see Table 1 for full participant details.
Table 1 • Participant Genders and Age Groups
810 Years old
1112 Years old
1314 Years old
1518 Years old
Total
Female
19
24
32
38
113
Male
15
12
15
11
53
Total
34
36
47
49
166
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 4 of 11
The inclusion criteria for the study were as follows: participants
aged 818 years at the time of referral, participants referred with
anxiety, and participants with complete data available at both re-
ferral and 2-month follow-up.
The exclusion criteria for the study were as follows: participants
without a complete dataset, participants with inconsistent data
across the time period, and participants who did not complete the
program.
Participants were, therefore, an opportunity sample of young
people referred to the intervention over a 5-year period.
2.2. Materials
Outcomes were determined by comparing pre- and post-inter-
vention scores, with increases in scores indicating a positive ef-
fect of the intervention across skills including calmness, asser-
tiveness, empathy, communication, perseverance, taking respon-
sibility, planning, and engagement as a learner.
The analysis includes 166 participants aged between 8 and 18
years with an average age of 12.8 years, who were referred with
anxiety. Of these, 113 participants were female and 53 partici-
pants were male. For the analysis, participants were grouped into
four age categories, which corresponded to education Key Stage
levels in the United Kingdom. The categories are as follows:
810 years old, 1112 years old, 1314 years old, and 1518 years
old.
2.3. Procedure
Mixed-measures analyses of variance (ANOVAs) were used to
show the effects of Time, Gender, and Age Group on the Total
Skills Star scores, as well as each of the Skills Star Attribute
scores. The Total Skills Star scores and scores for each of the eight
Skills Star attributes were, therefore, dependent variables. Gen-
der and Age Groups were between-participant independent vari-
ables, and Time was a within-participant independent variable.
3. Results
3.1. Total Skills Star scores
A mixed-measures ANOVA was carried out, with Time as a within-
participant independent variable, while Age and Gender were be-
tween-participant independent variables. The dependent variables
were the scores on the Skills Star before and after the intervention.
Neither Levenes test for homogeneity of variances nor Boxs test of
equality of covariance was significant. See Table 2 for full ANOVA
results for Total Skills Star scores.
3.1.1. Within-participants effects
There was a significant main effect of Time (F(1, 158) = 178.066, p <
0.001, ηp2 = 0.53), with participants scoring higher at post-test (M =
18.4, SD = 6.7) compared with pretest (M = 11.4, SD = 5.7), as well as
a significant interaction between Time and Age Group ((F(3, 158) =
4.158, p = 0.007, ηp2 = 0.07), shown in Figure 1. However, there
were no significant interactions between Time and Gender or among
Time, Gender, and Age (p > 0.05).
3.1.2. Between-participants effects
There was no significant main effect of Gender nor Age Group,
though there was a significant interaction between Gender and
Age Group (F(3, 158) = 3.924 , p = 0.010, ηp2 = 0.069).
3.2. Skills Star attributes
A mixed-measures ANOVA was carried out for each of the Skills Star
Attribute Scores. For each, Time was a within-participants inde-
pendent variable, while Age and Gender were between-participants
independent variables. The dependent variables were the scores on
the Skills Star attributes before and after the intervention. Findings
relevant to reducing anxiety in adolescents via calmness, empathy,
and planning are summarized in Table 3. For the full results of
mixed-measures ANOVAs carried out on the additional attributes,
see Table S1 in Supplementary materials.
Table 2 • Results of a mixed-measures ANOVA for Total Skills Star scores
ANOVA results
Source
df
Mean square
F
p
ηp2
Noncent.
parameter
Observed powera
Within-participants effects on Total Skills Star scores
Time
1
3,467.189
178.066
0.000
0.530
178.066
1.000
Time * Gender
1
27.620
1.418
0.235
0.009
1.418
0.220
Time * Age Group
3
80.965
4.158
0.007
0.073
12.475
0.846
Time * Gender * Age Group
3
10.254
0.527
0.665
0.010
1.580
0.156
Error (Time)
158
19.471
Between-participants effects on Total Skills Star scores
Intercept
1
59,583.167
1,126.184
0.000
0.877
1,126.184
1.000
Gender
1
187.244
3.539
0.062
0.022
3.539
0.464
Age Group
3
11.357
0.215
0.886
0.004
0.644
0.090
Gender * Age Group
3
207.616
3.924
0.010
0.069
11.772
0.822
Error
158
52.907
a Computed using alpha = 0.05. *Interaction between independent variables.
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 5 of 11
Figure 1 • Interaction between Time and Age Group on Total Skills Star scores.
Table 3 • Results of mixed-measures analysis of variance for Skills Star attributes related to anxiety
ANOVA results for attributes related to anxiety
Source
df
Mean square
F
p
ηp2
Noncent.
parameter
Observed powera
Within-participants effects on calmness scores
Time
1
78.869
106.741
0.000
0.403
106.741
1.000
Time * Gender
1
0.148
0.200
0.655
0.001
0.200
0.073
Time * Age Group
3
1.545
2.091
0.104
0.038
6.274
0.527
Time * Gender * Age Group
3
0.222
0.300
0.825
0.006
0.900
0.107
Error (Time)
158
0.739
Between-participants effects on calmness scores
Intercept
1
835.606
552.529
0.000
0.778
552.529
1.000
Gender
1
1.722
1.139
0.288
0.007
1.139
0.186
Age Group
3
1.267
0.838
0.475
0.016
2.513
0.229
Gender * Age Group
3
2.914
1.927
0.127
0.035
5.780
0.491
Error
158
1.512
Within-participants effects on empathy scores
Time
1
37.850
57.905
0.000
0.268
57.905
1.000
Time * Gender
1
2.109
3.226
0.074
0.020
3.226
0.431
Time * Age Group
3
2.346
3.589
0.015
0.064
10.766
0.783
Time * Gender * Age Group
3
0.630
0.964
0.411
0.018
2.892
0.260
Error (Time)
158
0.654
Between-participants effects on empathy scores
Intercept
1
1,090.338
703.838
0.000
0.817
703.838
1.000
Gender
1
11.162
7.206
0.008
0.044
7.206
0.761
Age Group
3
0.043
0.028
0.994
0.001
0.084
0.055
Gender * Age Group
3
3.432
2.216
0.088
0.040
6.647
0.554
Error
158
1.549
Within-participants effects on planning
Time
1
49.119
80.887
0.000
0.339
80.887
1.000
Time * Gender
1
0.225
0.370
0.544
0.002
0.370
0.093
Time * Age Group
3
1.625
2.676
0.049
0.048
8.029
0.644
Time * Gender * Age Group
3
0.469
0.772
0.511
0.014
2.315
0.213
Error (Time)
158
0.607
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 6 of 11
Between-participants effects on planning
Intercept
1
870.828
925.478
0.000
0.854
925.478
1.000
Gender
1
1.367
1.453
0.230
0.009
1.453
0.224
Age Group
3
0.399
0.424
0.736
0.008
1.271
0.133
Gender * Age Group
3
3.140
3.337
0.021
0.060
10.010
0.750
Error
158
0.941
a Computed using alpha = 0.05. *Interaction between independent variables.
3.2.1. Calmness
Boxs test of covariance was not significant, and nor was Levenes
test for the homogeneity of variances.
Within-participants effects
There was a significant main effect of Time on Calmness scores
(F(1, 158) = 106.741, p < 0.001, ηp2 = 0.403), with post-test scores
(M = 2.3, SD = 1.0) higher than pretest scores (M = 1.2, SD = 1.1),
though there were no significant interactions between Time and
Age Group, Time and Gender or Time, and Gender and Age
(p > 0.05).
Between-participants effects
There was no significant main effect of Gender or Age Group on
Calmness scores, nor was there a significant interaction between
Gender and Age Group (p > 0.05).
3.2.2. Empathy
Boxs test of covariance was not significant, and nor was Levenes
test for homogeneity of variances.
Within-participants effects
There was a significant main effect of Time on Empathy scores
(F(1, 158) = 57.905, p < 0.001, ηp2 = 0.268), with scores at post-
test (M = 2.4, SD = 1.0) higher than those at pretest (M = 1.7, SD
= 1.1), as well as a significant interaction between Time and Age
Group (F(3, 158) = 3.589, p = 0.015, ηp2 = 0.064), shown in
Figure 2. However, there were no significant interactions be-
tween Time and Gender or Time, Gender, and Age (p > 0.05).
Between-participants effects
There was a significant main effect of Gender on Empathy scores
(F(1, 158) = 7.206, p < 0.008, ηp2 = 0.044), with female partici-
pants scoring significantly higher (M = 2.2, SE = 0.9) than male
participants (M = 1.8, SE = 0.1). However, there was no signifi-
cant main effect of Age Group on Empathy scores (p > 0.05).
There was also no significant interaction between Gender and
Age Group (p > 0.05).
3.2.3. Planning
Box’s test for equality of covariances was significant (F(21,
27435) = 2.011, p = 0.004). Therefore, Pillai’s trace values were
used. Levene’s test for homogeneity of variances was significant
for pre-scores (F(7, 158) = 2.297, p = 0.030), but not for post-
scores (F(7, 158) = 0.228, p = 0.978).
Within-participants effects
There was a significant main effect of Time on Planning scores
(F(1, 158) = 80.887, p < 0.001, ηp2 = 0.339), with participants
scoring higher at post-test (M = 2.2, SD =0.89) compared with
pretest (M = 1.4, SD = 0.90). There was also a significant interac-
tion between Time and Age Group, shown in Figure 3 (F(3, 158)
= 2.676, p = 0.049, ηp2 = 0.048). However, there were no signif-
icant interactions between Time and Gender or Time, Gender,
and Age (p > 0.05).
Figure 2 Interaction between Time and Age Group on Empathy scores.
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 7 of 11
Figure 3 • Interaction between Time and Age Group on Planning scores.
Between-participants effects
There was no significant main effect of Gender or Age Group on
Planning scores (>0.05), although there was a significant inter-
action between Gender and Age Group (F(3, 158) = 3.337, p =
0.021, ηp2 = 0.060).
4. Discussion
The results of this study indicate a positive impact of the EAL
program across each of the eight attributes measured, the devel-
opment of which mitigates the impact of anxiety disorders via the
development of specific skills such as calmness, empathy, and
planning. There was also a significant improvement in the Total
Skills Star scores, indicating a generalized sociocognitive im-
provement for participants referred with anxiety. This could un-
derpin reductions in behavioral patterns, which may contribute
to anxiety in participants lives, such as struggling to maintain
healthy boundaries or to act calmly.
There was a significant interaction between Time and Age across
the Total Skills Star scores, revealing that participants in their
early teens (aged 1112 and 1314) tended to enter the program
with lower scores across the Total Star, and then leave with
higher scores than those aged 810 or 1518 years. The transition
from primary school to secondary school and the onset of puberty
could be critical periods for early interventions to support young
people who are identified as at-risk for developing anxiety disor-
ders, with short-term experiential programs offering a chance to
reflect and develop skills during this vital period.
Blum et al. [18] argued that early adolescence (ages 1014) is one of
the most critical developmental periods for understanding long-
term health outcomes due to the extent of the rapid biological and
contextual changes. Health outcomes are driven by several factors
relating to anxiety, which are developed throughout adolescence,
such as impulse control, response to stress, and emotional well-be-
ing [4346]. Programs that support healthy patterns of adolescent
development across these areas could improve long-term health out-
comes, as well as reduce anxiety. This is likely to function as a virtu-
ous cycle. Raknes et al. [47] found that adolescent anxiety is related
to poor health-related quality of life, while poor health can also be a
significant driver of anxiety [48].
This period of increased sensitivity to the effects of the interven-
tion for participants in early adolescence was also shown for
scores on Empathy, whereby participants in early adolescence
(aged 1112 and 1314) showed lower scores than younger (aged
810) or older (aged 1518) participants at pretest and higher
scores following the intervention. In line with our results, Van der
Graaf et al. [49] found that girls tended to score higher on empa-
thy than boys, with a differential development trajectory of per-
spective-taking during adolescence across genders; perspective-
taking in girls tended to be higher and increased faster compared
with that of boys. However, no significant interaction between
gender and time was found in our study, suggesting the presence
of key stages during adolescence during which interventions can
be particularly effective for supporting the development of empa-
thy across genders.
There was also a period of higher sensitivity to the intervention
effects for participants aged 1112 and 1314 years found for
Planning. This may, therefore, be an area that requires specific
support in early adolescence for young people suffering with anx-
iety. A longitudinal study by Troller-Renfree et al. [19, 20] found
that for children with high behavioral inhibition as toddlers, in-
creased proactive cognitive control (i.e., tendency to plan, rather
than react) is associated with lower anxiety at age 13. This implies
that interventions such as EAL, which improve proactive plan-
ning and alleviate excess inhibitory control, could help reduce
anxiety in early adolescence.
There may be a more complex relationship between the develop-
ment of empathy and reduction of anxiety. Gambin and Sharp
[50] found a positive correlation between empathy and anxiety
for adolescent participants at an inpatient unit, suggesting that
high empathy could result in overwhelming feelings or maladap-
tive states (e.g., guilt), thereby contributing to the development
of anxiety. However, Klimecki et al. [51] found that training in
compassion improved positive impact and reversed the potential
negative impact of developing increased empathy, which was also
conducted via training. This highlights an important nuance that
should be considered in the development of interventions for so-
ciocognitive skills; the benefits of compassion; sharing the emo-
tional experience of another with the desire to alleviate distress,
compared with empathy; the sharing of emotional experiences
with another [52]. In the EAL program under study, the attribute
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 8 of 11
of “Empathy” is defined as sees the needs of others, offers care
and support, feels closely connected. It is, therefore, likely that
the program may be developing compassion within participants,
as referenced by actively offering care and support to othersra-
ther than simply experiencing shared emotions. The develop-
ment of compassion as a skill could represent a critical turning
point for participants with anxiety driven by maladaptive or lim-
ited empathy as they learn to take action to help where possible
or/and limit the extent to which the emotions of others are able
to affect them.
The results of the current study indicate that an EAL program fo-
cusing on embodied communication may significantly improve
the calmness of young people within a relatively short 10-hour
intervention, although more research is needed to substantiate.
Traditional anxiety treatments such as cognitive behavioral ther-
apy often have over 20 hours of contact time spread across sev-
eral weeks [53] as well as high dropout rates of around 26.2%
during treatment [54]. The program under study here has a com-
pletion rate of 94% [55], indicating that participants not only im-
prove their sociocognitive skills via the program but also enjoy
attending.
The efficiency of the program may be partially attributable to the
embodied approach of the EAL program, supporting embodied
learning in a short time, as described by Green [39]. The program
offers young people the opportunity to experiment with ways of
managing their internal state; the success of which is indicated
through the behavior of the horse in the manner of biofeedback.
As herd animals, horses have evolved to psychophysiologically
synchronize with others in the herd to flee from predators with
greater efficiency. This synchronization could be termed biofeed-
back for participants and has been demonstrated between horses
and their handlers; Lie [56] found that horses show emotional
contagion with their handlers, and a study by Merkies et al. [57]
found that therapy horses had increased heart rates around peo-
ple with PTSD compared with people without trauma. A system-
atic review by Alneyadi et al. [58] found that biofeedback is a useful
inclusion for programs that aim to treat anxiety in young people; the
psychophysiological synchronization of the horse to the human
could be helping participants better understand and reflect on their
emotional states, although more research is needed in this area.
The availability of biofeedback via interactions with the horses is spe-
cific to EAS which make active use of this connection between horses
and humans. Other popular animal-assisted therapies such as ca-
nine-assisted therapies provide support to participants with therapy
dogs working in the role as Mans best friend” [59]. In contrast,
horses choose how to engage based on the behavior of the partici-
pantshighlighting areas where personal growth would support
more positive interactions for participants, both with horses and in
other contexts. Furthermore, communication with horses is nonver-
bal, reinforcing embodied learning for participants [25], which can
lead to significant changes in a short period of time [39] as people
learn to identify and manage different feelings. This type of detailed
embodied communication is not necessary in animal-assisted thera-
pies with smaller animals, such as cats or guinea pigsrepresenting
a key therapeutic advantage of EAS.
4.1. Limitations
The current study investigated outcomes related to anxiety, such
as calmness [26], but did not examine the impact of the program
using a validated anxiety measure. This was largely due to the
pragmatic design of the study, as the data were collected by the
charity as part of their usual operations. Therefore, participants
were not contacted or asked to fill out additional anxiety-specific
measures. Instead, data from participants referred with anxiety
were analyzed across the eight sociocognitive attributes and at
the total level. Future research could include measures of anxiety
to more directly understand the impact of EAL programs on the
degree of anxiety experienced or whether diagnoses of anxiety
were removed further to the intervention.
The generalizability of the study findings may also be limited as
there was no randomization or control group. The study explored
the scores of young people across a range of ages at two time
points: pre- and post-intervention. To further investigate the po-
tential for early intervention and to identify and validate critical
time periods during adolescent development where additional
support is most beneficial, larger-scale randomized studies may
be beneficial. However, it is important to note that of the young
people referred to this EAL, almost a third are not engaging with
CAMHS or other services; therefore, finding an appropriate com-
parison or control group is currently problematic.
5. Conclusions
This study has found a significant impact of a 5-day EAL program
on eight sociocognitive skills. The development of these skills is
likely to reduce anxiety in children and adolescents by supporting
them to adopt adaptive strategies such as developing calmness
and improving communication and assertiveness. Although anx-
iety can often be related to external circumstances, rather than
stemming directly from impairment across these skills, develop-
ment of sociocognitive skills could contribute to improved rela-
tionships and functioning in daily life, which could indirectly re-
duce the frequency or severity of anxiety. Further research could
investigate the direct impact of the EAL program on anxiety using
a targeted anxiety measure to validate these findings.
Acknowledgments
The authors thank the Equine-Assisted Charity involved with this
study. A special thanks to Harriet Laurie MBE who is the CEO,
and to all the horses who contributed to this intervention.
Funding
The authors declare no financial support for the research, author-
ship, or publication of this article.
Author contributions
Conceptualization, A.H.; methodology, K.S. and A.H.; formal
analysis, K.S.; investigation, A.H. and K.S.; data curation, K.S.;
writingoriginal draft preparation, K.S.; writingreview and ed-
iting, A.H.; visualization, K.S.; supervision, A.H.; project admin-
istration, A.H.; project funding, A.H. Both authors have read and
agreed to the published version of the manuscript.
Conflict of interest
The authors declare no conflict of interest.
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 9 of 11
Data availability statement
Data supporting these findings are available within the article, at
https://doi.org/10.20935/MHealthWellB7424, or upon request.
Institutional review board statement
The study was conducted in accordance with the Declaration of
Helsinki and approved by the Institutional Review Board (or Eth-
ics Committee) of Bournemouth University UK (REF, 51113, ap-
proved on February 10, 2023).
Informed consent statement
Informed consent was obtained from all subjects involved in the
study, and this study utilized secondary data analysis of anony-
mized data only.
Supplementary materials
The supplementary materials are available at https://doi.org/
10.20935/MHealthWellB7424.
Additional information
Received: 2024-08-14
Accepted: 2024-11-08
Published: 2024-11-28
Academia Mental Health and Well-Being papers should be cited as
Academia Mental Health and Well-Being 2024, ISSN 2997-9196,
https://doi.org/10.20935/MHealthWellB7424. The journal’s offi-
cial abbreviation is Acad. Ment. Health WellB.
Publisher’s note
Academia.edu Journals stays neutral with regard to jurisdictional
claims in published maps and institutional affiliations. All claims
expressed in this article are solely those of the authors and do not
necessarily represent those of their affiliated organizations, or
those of the publisher, the editors, and the reviewers. Any
product that may be evaluated in this article, or claim that may
be made by its manufacturer, is not guaranteed or endorsed by
the publisher.
Copyright
© 2024 copyright by the authors. This article is an open access
article distributed under the terms and conditions of the
Creative Commons Attribution (CC BY) license (https://creativ
ecommons.org/licenses/by/4.0/).
References
1. Bevilacqua L, Fox-Smith L, Lewins A, Jetha P, Sideri A, Bar-
ton G, et al. Impact of COVID-19 on the mental health of chil-
dren and young people: an umbrella review. J Epidemiol
Community Health. 2023;77(11):7049. doi: 10.1136/jech-
2022-220259
2. Ludwig-Walz H, Dannheim I, Pfadenhauer LM, Fegert JM,
Bujard M. Anxiety increased among children and adoles-
cents during pandemic-related school closures in Europe: a
systematic review and meta-analysis. Child Adolesc Psychi-
atry Ment Health. 2023;17(1):74. doi: 10.1186/s13034-023-
00612-z
3. Theberath M, Bauer D, Chen W, Salinas M, Mohabbat AB,
Yang J, et al. Effects of COVID-19 pandemic on mental
health of children and adolescents: a systematic review of
survey studies. SAGE Open Med. 2022;10:2050312122
1086712. doi: 10.1177/20503121221086712
4. Zulfiqarova U, Dresp-Langley B. Student anxiety in the wake
of the COVID-19 pandemic. Acad Ment Health Well-Being.
2024;1(2). doi: 10.20935/MHealthWellB7294
5. Keles B, McCrae N, Grealish A. A systematic review: the in-
fluence of social media on depression, anxiety and psycho-
logical distress in adolescents. Int J Adolesc Youth.
2020;25(1):7993. doi: 10.1080/02673843.2019.1590851
6. Bray I, Reece R, Sinnett D, Martin, F, Hayward R. Exploring
the role of exposure to green and blue spaces in preventing
anxiety and depression among young people aged 1424
years living in urban settings: a systematic review and con-
ceptual framework. Environ Res. 2022;214:114081. doi:
10.1016/j.envres.2022.114081
7. Schiebel T, Gallinat J, Kühn S. Testing the Biophilia theory:
automatic approach tendencies towards nature. J Environ
Psychol. 2022;79:101725. doi: 10.1016/j.jenvp.2021.101725
8. Hards E, Loades ME, Higson-Sweeney N, Shafran R, Ser-
afimova T, Brigden A, et al. Loneliness and mental health in
children and adolescents with pre-existing mental health
problems: a rapid systematic review. Br J Clin Psychol.
2022;61(2):31334. doi: 10.1111/bjc.12331
9. Dresp-Langley B. Children’s health in the digital age. Int J
Environ Res Public Health. 2020;17(9):3240. doi: 10.3390/
ijerph17093240
10. Sullivan SK, Hemingway A. Perspective chapter: mind the
gap–young people’s mental health and equine assisted inter-
ventions; 2023. Intech Open. doi: 10.5772/intechopen.
1003135
11. Bowen RC, Senthilselvan A, Barale A. Physical illness as an
outcome of chronic anxiety disorders. Can J Psychiatry.
2000;45(5):45964. doi: 10.1177/070674370004500506
12. Davies MR, Glen K, Mundy J, Ter Kuile AR, Adey BN, Ar-
mour C, et al. Factors associated with anxiety disorder
comorbidity. J Affect Disord. 2023;323:28091. doi: 10.10
16/j.jad.2022.11.051
13. Altamura AC, Santini A, Salvadori D, Mundo E. Duration of
untreated illness in panic disorder: a poor outcome risk fac-
tor? Neuropsychiatr Dis Treat. 2005;1(4):3457.
14. De Lijster J, Dierckx B, Utens E, Verhulst F, Zieldorff C, Die-
leman G, et al. The age of onset of anxiety disorders in sam-
ples from the general population: a meta-analysis. Eur Psy-
chiatry. 2016;33(S1):S567.
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 10 of 11
15. Campbell LA, Brown TA, Grisham JR. The relevance of age
of onset to the psychopathology of generalized anxiety disor-
der. Behav Ther. 2003;34:3148. doi: 10.1016/s0005-
7894(03)80020-5
16. Lim SW, Ha J, Shin YC, Shin DW, Bae SM, Oh KS. Clinical
differences between early-and late-onset social anxiety dis-
orders. Early Interv Psychiatry. 2013;7(1):4450. doi: 10.
1111/j.1751-7893.2012.00341.x
17. White LK, McDermott JM, Degnan KA, Henderson HA, Fox
NA. Behavioral inhibition and anxiety: the moderating roles
of inhibitory control and attention shifting. J Abnorm Child
Psychol. 2011;39:73547. doi: 10.1007/s10802-012-9688-6
18. Blum RW, Astone NM, Decker MR, Mouli VC. A conceptual
framework for early adolescence: a platform for research. Int
J Adolesc Med Health. 2014;26(3):32131. doi: 10.1515/
ijamh-2013-0327
19. Troller-Renfree SV, Buzzell GA, Bowers ME, Salo VC, For-
man-Alberti A, Smith E, et al. Development of inhibitory
control during childhood and its relations to early tempera-
ment and later social anxiety: unique insights provided by
latent growth modelling and signal detection theory. J Child
Psychol Psychiatry. 2019;60(6):6229. doi: 10.1111/jcpp.
13025
20. Troller-Renfree SV, Buzzell GA, Pine DS, Henderson HA,
Fox NA. Consequences of not planning ahead: reduced pro-
active control moderates’ longitudinal relations between be-
havioural inhibition and anxiety. J Am Acad Child Adolesc
Psychiatry. 2019;58(8):76875. doi: 10.1016/j.jaac.2018.
06.040
21. Smith SJ. Bringing up life with horses. Indo-Pac J Phenom-
enol. 2018;18(2):17989. doi: 10.1080/20797222.2018.
1499266
22. Chavanne AV, Paillère Martinot ML, Penttilä J, Grimmer Y,
Conrod P, Stringaris A, et al. Anxiety onset in adolescents: a
machine-learning prediction. Mol Psychiatry. 2023;28(2):
63946. doi: 10.1038/s41380-022-01840-z
23. Driscoll ME, Bollu PC, Tadi P. Neuroanatomy, nucleus cau-
date. 2023 Jul 24. In: StatPearls [Internet]. Treasure Island
(FL): StatPearls Publishing; 2024
24. Javed N, Cascella M. Neuroanatomy, globus pallidus 2023.
In: StatPearls [Internet]. Treasure Island (FL): StatPearls
Publishing; 2024. PMID: 32491687.
25. Hemingway A, Carter S, Callaway A, Kavanagh E, Ellis S. An
exploration of the mechanism of action of an equine-assisted
intervention. Animals. 2019;9(6). doi: 10.3390/ani9060303
26. Siddaway AP, Taylor PJ, Wood AM. Reconceptualizing anx-
iety as a continuum that ranges from high calmness to high
anxiety: the joint importance of reducing distress and in-
creasing well-being. J Pers Soc Psychol. 2018;114(2):e1. doi:
10.1037/pspp0000128
27. Bui E, King F, Melaragno A. Pharmacotherapy of anxiety dis-
orders in the 21st century: a call for novel approaches. Gen
Psychiatry. 2019;32(6):e100136. doi: 10.1136/gpsych-2019-
100136. PMID: 31922087; PMCID: PMC6936967.
28. Horseworld. Discovery program; 2022 [cited 2024 Aug 5].
Available from: https://www.horseworld.org.uk/our-im-
pact/discovery-programme/
29. Hemingway A, Sullivan K. Reducing the incidence of domes-
tic violence: an observational study of an equineassisted in-
tervention. Fam Process. 2022;61(2):54970. doi: 10.1111/
famp.12768
30. Pendry P, Roeter S. Experimental trial demonstrates posi-
tive effects of equine facilitated learning on child social com-
petence. Hum Anim Interact Bull. 2013;1:119. doi: 10.
1079/hai.2013.0004
31. Osbourn AM. Making the connections: equine-assisted
learning for adolescents struggling with anxiety. Prescott
(AZ): Prescott College; 2019.
32. Davis L, Stanton CR. Fight, flight, or freeze?: equine-assisted
learning as a means to explore anxiety, self-efficacy, and
agency in rural youth during COVID-19. J Exp Educ. 2024;
47(1):15876. doi: 10.1177/10538259231174877
33. Cagle-Holtcamp K, Nicodemus MC, Parker J, Dunlap MH.
Does equine assisted learning create emotionally safe learn-
ing environments for at-risk youth? J Youth Dev. 2019;
14(4):23252. doi: 10.5195/jyd.2019.727
34. Veale D, Robins E, Thomson AB, Gilbert P. No safety without
emotional safety. Lancet Psychiatry. 2023;10(1):6570. doi:
10.1016/S2215-0366(22)00373-X
35. Shean M, Mander D. Building emotional safety for students
in school environments: challenges and opportunities. In:
Midford R, Nutton G, Hyndman B, Silburn S, editors. Health
and education interdependence: thriving from birth to
adulthood. Singapore: Springer; 2020. p. 22548.
36. Kirmayer LJ. Embracing uncertainty as a path to compe-
tence: cultural safety, empathy, and alterity in clinical train-
ing. Cult Med Psychiatry. 2013;37:36572. doi: 10.1007/s11
013-013-9314-2
37. Hair EC, Jager J, Garrett SB. Helping teens develop healthy
social skills and relationships: what the research shows
about navigating adolescence. Trends in Child Research
Brief; 2002 [cited 2024 Aug 12]. Available from: https://
cms.childtrends.org/wp-content/uploads/2002/07/Child_
Trends-2002_07_01_RB_TeenSocialSkills.pdf
38. Wickramaratne PJ, Yangchen T, Lepow L, Patra BG, Glicks-
burg B, Talati A, et al. Social connectedness as a determinant
of mental health: a scoping review. PLoS One. 2022;
17(10):e0275004. doi: 10.1371/journal.pone.0275004
39. Green S. Horse sense: equine assisted single session consul-
tations. Capturing the moment: single session therapy and
walk-in services. Bancyfelin: Crown House Publishing; 2014.
p. 42540.
40. Young T, Creighton E, Smith T, Hosie C. A novel scale of be-
havioural indicators of stress for use with domestic
horses. Appl Anim Behav Sci. 2012;140(12):3343. doi:
10.1016/j.applanim.2012.05.008
41. Mental Health Providers Forum. Recovery-star-user-guide;
2008 [cited 2024 Oct 17]. Available from: https://
mnpmind.org.uk/wp-content/uploads/2021/09/Recovery-
STAR-User-Guide.pdf
https://www.academia.edu/journals/academia-mental-health-and-well-being/about https://doi.org/10.20935/MHealthWellB7424
ACADEMIA MENTAL HEALTH AND WELL-BEING 2024, 1 11 of 11
42. THC. The skills star chart; 2014 [cited 2024 Aug 5]. Availa-
ble from: https://www.thehorsecourse.org/images/pdfs/
Star-12.pdf
43. Edmunds GW, Bogg T, Roberts BW. Are personality and be-
havioural measures of impulse control convergent or distinct
predictors of health behaviours? J Res Pers. 2009;43(5):
80614.
44. Meeus W, Vollebergh W, Branje S, Crocetti E, Ormel J, van
de Schoot R, et al. On imbalance of impulse control and sen-
sation seeking and adolescent risk: an intra-individual de-
velopmental test of the dual systems and maturational im-
balance models. J Youth Adolesc. 2021;50:82740. doi:
10.1007/s10964-021-01419-x
45. Turner AI, Smyth N, Hall SJ, Torres SJ, Hussein M, Jaya-
singhe SU, et al. Psychological stress reactivity and future
health and disease outcomes: a systematic review of pro-
spective evidence. Psychoneuroendocrinology. 2020;114:
104599. doi: 10.1016/j.psyneuen.2020.104599
46. Sisk LM, Gee DG. Stress and adolescence: vulnerability and
opportunity during a sensitive window of development. Curr
Opin Psychol. 2022;44:28692. doi: 10.1016/j.copsyc.
2021.10.005
47. Raknes S, Pallesen S, Himle JA, Bjaastad JF, Wergeland GJ,
Hoffart A, et al. Quality of life in anxious adolescents. Child
Adolesc Psychiatry Ment Health. 2017;11:111. doi: 10.
1186/s13034-017-0173-4
48. Cobham VE, Hickling A, Kimball H, Thomas HJ, Scott JG,
Middeldorp CM. Systematic review: anxiety in children and
adolescents with chronic medical conditions. J Am Acad
Child Adolesc Psychiatry. 2020;59(5):595618. doi: 10.10
16/j.jaac.2019.10.010
49. Van der Graaff J, Branje S, De Wied M, Hawk S, Van Lier P,
Meeus W. Perspective taking and empathic concern in ado-
lescence: gender differences in developmental changes. Dev
Psychol. 2014;50(3):881. doi: 10.1037/a0034325
50. Gambin M, Sharp C. Relations between empathy and anxiety
dimensions in inpatient adolescents. Anxiety Stress Coping.
2018;31(4):44758. doi: 10.1080/10615806.2018.1475868
51. Klimecki OM, Leiberg S, Ricard M, Singer T. Differential pat-
tern of functional brain plasticity after compassion and empa-
thy training. Soc Cogn Affect Neurosci. 2014;9(6):8739. doi:
10.1093/scan/nst060
52. Merriam-Webster. Compassion definition & meaning; 2024
[cited 2024 Oct 17]. Available from: https://www.merriam-
webster.com/dictionary/compassion
53. James AC, Reardon T, Soler A, James G, Creswell C. Cogni-
tive behavioural therapy for anxiety disorders in children
and adolescents. Cochrane Database Syst Rev. 2020;
11(11):CD013162. doi: 10.1002/14651858.CD013162.pub2.
PMCID: PMC8092480.
54. Fernandez E, Salem D, Swift JK, Ramtahal N. Meta-analysis
of dropout from cognitive behavioral therapy: magnitude,
timing, and moderators. J Consult Clin Psychol. 2015;
83(6):1108.
55. Hemingway A. A study exploring the implementation of an
equine assisted intervention for young people with mental
health and behavioural issues. J. 2019;2(2):23646.
56. Lie MR. Emotional contagion and mimicry of behavior be-
tween horses and their handlers [Master’s thesis]. Ås: Nor-
wegian University of Life Sciences; 2017.
57. Merkies K, McKechnie MJ, Zakrajsek E. Behavioural and
physiological responses of therapy horses to mentally trau-
matized humans. Appl Anim Behav Sci. 2018;205:617. doi:
10.1016/j.applanim.2018.05.019
58. Alneyadi M, Drissi N, Almeqbaali M, Ouhbi S. Biofeedback-
based connected mental health interventions for anxiety:
systematic literature review. JMIR mHealth uHealth.
2021;9(4):e26038. doi: 10.2196/26038
59. Narvekar HN, Narvekar HN. Canine-assisted therapy in
neurodevelopmental disorders: a scoping review. Eur J In-
tegr Med. 2022;50:102112. doi: 10.1016/j.eujim.2022.
102112
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Meta-analyses of the pertaining literature have shown that generalized anxiety disorder (GAD) in youth particularly students is a prevalent syndrome in mental health issues identified in 2022, in the wake of the COVID-19 pandemic, by the World Health Organization and other national organizations such as Santé Publique France. This study, performed between 2022 and 2023, offers a pinhole view of student anxiety in the post-COVID-19 context at a French University. A sample population of 80 undergraduate medical students within the age range from 18 to 24 years was tested for GAD in a survey using an online version of the Hamilton Anxiety Scale (HAM-A). The total test scores indicate a prevalence of severe to very severe GAD in 36% of the sample population, which is consistent with results from studies on larger student populations in other countries. Further statistical analyses reveal a significantly higher number of psychological symptoms by comparison with somatic symptoms of GAD. The reasons why, under the light of the findings placed in the current societal context, student anxiety needs to be addressed in terms of a larger societal problem beyond the immediate consequences of the COVID-19 pandemic are discussed. Keywords: Generalized anxiety disorder (GAD), post-COVID-19, medical students, psychological symptoms, somatic symptoms, Hamilton Anxiety Scale (HAM-A).
Article
Full-text available
Background Considering the heterogenous evidence, a systematic review of the change in anxiety in European children and adolescents associated with the COVID-19 pandemic is lacking. We therefore assessed the change compared with pre-pandemic baselines stratified by gender and age as well as evaluated the impact of country-specific restriction policies. Methods A registration on the ‘International Prospective Register of Systematic Reviews’ (PROSPERO) occurred and an a priori protocol was published. We searched six databases (PubMed, Embase, PsycINFO, Cochrane Central Register of Controlled Trials, Web of Science, WHO COVID-19) using a peer-reviewed search string with citation tracking and grey literature screening. Primary outcomes were: (1) general anxiety symptoms; and (2) clinically relevant anxiety rates. We used the Oxford COVID-19 Stringency Index as an indicator of pandemic-related restrictions. Screening of title/abstract and full text as well as assessing risk of bias (using the ‘Risk of Bias in Non-randomized Studies of Exposure’ [ROBINS-E]) and certainty of evidence (using the ‘Grading of Recommendations Assessment, Development and Evaluation’ [GRADE]) was done in duplicate. We pooled data using a random effects model. Reporting is in accordance with the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) statement. Results Of 7,422 non-duplicate records, 18 studies with data from 752,532 pre-pandemic and 763,582 pandemic participants met full inclusion criteria. For general anxiety symptoms the total change effect estimate yielded a standardised mean difference (SMD) of 0.34 (95% confidence interval [CI], 0.17–0.51) and for clinically relevant anxiety rates we observed an odds ratio of 1.08 (95%-CI, 0.98–1.19). Increase in general anxiety symptoms was highest in the 11–15 years age group. Effect estimates were higher when pandemic-related restrictions were more stringent (Oxford Stringency Index > 60: SMD, 0.52 [95%-CI, 0.30–0.73]) and when school closures (School Closure Index ≥ 2: SMD, 0.44 [95%-CI, 0.23–0.65]) occurred. Conclusion General anxiety symptoms among children and adolescents in Europe increased in a pre/during comparison of the COVID-19 pandemic; particularly for males aged 11–15 years. In periods of stringent pandemic-related restrictions and/or school closures a considerable increase in general anxiety symptoms could be documented. PROSPERO registration: CRD42022303714.
Article
Full-text available
Recent longitudinal studies in youth have reported MRI correlates of prospective anxiety symptoms during adolescence, a vulnerable period for the onset of anxiety disorders. However, their predictive value has not been established. Individual prediction through machine-learning algorithms might help bridge the gap to clinical relevance. A voting classifier with Random Forest, Support Vector Machine and Logistic Regression algorithms was used to evaluate the predictive pertinence of gray matter volumes of interest and psychometric scores in the detection of prospective clinical anxiety. Participants with clinical anxiety at age 18–23 ( N = 156) were investigated at age 14 along with healthy controls ( N = 424). Shapley values were extracted for in-depth interpretation of feature importance. Prospective prediction of pooled anxiety disorders relied mostly on psychometric features and achieved moderate performance (area under the receiver operating curve = 0.68), while generalized anxiety disorder (GAD) prediction achieved similar performance. MRI regional volumes did not improve the prediction performance of prospective pooled anxiety disorders with respect to psychometric features alone, but they improved the prediction performance of GAD, with the caudate and pallidum volumes being among the most contributing features. To conclude, in non-anxious 14 year old adolescents, future clinical anxiety onset 4–8 years later could be individually predicted. Psychometric features such as neuroticism, hopelessness and emotional symptoms were the main contributors to pooled anxiety disorders prediction. Neuroanatomical data, such as caudate and pallidum volume, proved valuable for GAD and should be included in prospective clinical anxiety prediction in adolescents.
Article
Full-text available
Background Anxiety and depressive disorders often co-occur and the order of their emergence may be associated with different clinical outcomes. However, minimal research has been conducted on anxiety-anxiety comorbidity. This study examined factors associated with anxiety comorbidity and anxiety-MDD temporal sequence. Methods Online, self-report data were collected from the UK-based GLAD and COPING NBR cohorts (N = 38,775). Logistic regression analyses compared differences in sociodemographic, trauma, and clinical factors between single anxiety, anxiety-anxiety comorbidity, anxiety-MDD (major depressive disorder) comorbidity, and MDD-only. Additionally, anxiety-first and MDD-first anxiety-MDD were compared. Differences in familial risk were assessed in those participants with self-reported family history or genotype data. Results Anxiety-anxiety and anxiety-MDD had higher rates of self-reported anxiety or depressive disorder diagnoses, younger age of onset, and higher recurrence than single anxiety. Anxiety-MDD displayed greater clinical severity/complexity than MDD only. Anxiety-anxiety had more severe current anxiety symptoms, less severe current depressive symptoms, and reduced likelihood of self-reporting an anxiety/depressive disorder diagnosis than anxiety-MDD. Anxiety-first anxiety-MDD had a younger age of onset, more severe anxiety symptoms, and less likelihood of self-reporting a diagnosis than MDD-first. Minimal differences in familial risk were found. Limitations Self-report, retrospective measures may introduce recall bias. The familial risk analyses were likely underpowered. Conclusions Anxiety-anxiety comorbidity displayed a similarly severe and complex profile of symptoms as anxiety-MDD but distinct features. For anxiety-MDD, first-onset anxiety had an earlier age of onset and greater severity than MDD-first. Anxiety disorders and comorbidity warrant further investigation and attention in research and practice.
Article
Full-text available
Public health and epidemiologic research have established that social connectedness promotes overall health. Yet there have been no recent reviews of findings from research examining social connectedness as a determinant of mental health. The goal of this review was to evaluate recent longitudinal research probing the effects of social connectedness on depression and anxiety symptoms and diagnoses in the general population. A scoping review was performed of PubMed and PsychInfo databases from January 2015 to December 2021 following PRISMA-ScR guidelines using a defined search strategy. The search yielded 66 unique studies. In research with other than pregnant women, 83% (19 of 23) studies reported that social support benefited symptoms of depression with the remaining 17% (5 of 23) reporting minimal or no evidence that lower levels of social support predict depression at follow-up. In research with pregnant women, 83% (24 of 29 studies) found that low social support increased postpartum depressive symptoms. Among 8 of 9 studies that focused on loneliness, feeling lonely at baseline was related to adverse outcomes at follow-up including higher risks of major depressive disorder, depressive symptom severity, generalized anxiety disorder, and lower levels of physical activity. In 5 of 8 reports, smaller social network size predicted depressive symptoms or disorder at follow-up. In summary, most recent relevant longitudinal studies have demonstrated that social connectedness protects adults in the general population from depressive symptoms and disorders. The results, which were largely consistent across settings, exposure measures, and populations, support efforts to improve clinical detection of high-risk patients, including adults with low social support and elevated loneliness.
Article
Full-text available
This paper is presenting results from an observational study which has measured the impact of an equine-assisted education (EAE) intervention on the future occurrence of domestic violence within the family over 1 year following completion of the intervention as part of the troubled families program. The data analyzed were collected by the local authority troubled family's team from the different agencies involved including crime, health, and social care data. The data were analyzed and compared across four groups, those families on the troubled families program who had a key worker with a member or members who had attended and completed the equine-assisted intervention (n = 268); those families who were on the troubled families program but no support had been offered (n = 10,569), those families who were on the program and were being supported by a key worker only (n = 2119), and those families on the program who were being supported by a key worker and had received further support, not from the equine-assisted intervention (N = 1119). Significant reductions in domestic violence and child in need status were found for those families who had a member or members attend and complete the equine-assisted intervention under study. Those families referred to the equine-assisted intervention also had significantly more complex needs than those in the other groups. Referrals to this intervention are normally for those families for whom talk-based interventions such as parenting, or education-based interventions are not working.
Article
Background Over the past 3 years, a multitude of studies have highlighted the impact of the COVID-19 pandemic on the mental health of children and young people (CYP). In this umbrella review, we synthesise global evidence on the impact of COVID-19 on the mental health of CYP from existing systematic reviews with and/or without meta-analysis. Methods Adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we evaluated 349 citations and identified 24 eligible reviews with medium to high methodological quality to be reviewed narratively. Results Most of the reviews reported a high prevalence of anxiety disorders, depression, suicidal behaviour, eating disorders and other mental health problems. Most studies that used data at multiple time points indicate a significant increase in mental health problems in CYP, particularly in females and older adolescents. Conclusions Multipronged psychosocial care services, policies and programmes are needed to alleviate the burden of mental health problems in CYP as a consequence of the COVID-19 pandemic and associated global health measures. PROSPERO registration number CRD42021276312.
Article
Background: Given the emerging information about the COVID-19 pandemic's detrimental impacts on youth well-being, it is paramount to consider interventions that may mitigate these consequences, especially those available in socially distanced, outdoor settings. Further, adolescents in rural settings are at a significant disadvantage for accessing critical mental health services; therefore, novel, community-based approaches are necessary to support youth wellness efforts. Purpose: This study sought to address youth mental health challenges exacerbated by the COVID-19 pandemic in rural Montana by combining mindfulness techniques with Equine Assisted Learning. Methodology: The study applied a mixed methods phenomenological case study. Surveys and participatory observations/ interviews provided a foundation for multi-phase data analysis. Descriptive statistics and paired samples t-tests were used to analyze quantitative data; multi-phase qualitative coding (open, focused, and values coding) was utilized to analyze interview and observational data. Findings: Participants’ anxiety levels were greatly reduced following the intervention; mixed outcomes resulted from self-efficacy measures. Qualitatively, the findings demonstrate alignment between course topics, goals, and outcomes. Implications: Results suggest the potential for EAL to reduce anxiety levels in youth and increase self-awareness and agency in application of strategies to manage anxiety. Questions surrounding Bandura's self-efficacy scales arose as a result of this research.
Article
This Personal View highlights how emotional safety is required for a person to keep themselves physically safe. We explain how trying to control behaviour to increase physical safety in the short term can carry the unintended consequence of reducing emotional safety, which might in turn result in higher levels of stress and hopelessness. We use examples from institutions with psychiatric inpatients to describe these processes. We argue that emotional and physical safety cannot be separated, and therefore that the absence of emotional safety compromises basic care either in an acute crisis or in the long term. Staff who fear being criticised, and so feel driven to take autonomy and responsibility away from patients, unwittingly undermine patients' experience of being empathically understood and supported, adding to patients' sense of emotional turmoil and lack of safety. We suggest that a change in culture and regulatory reform is required to bring psychiatric care more in line with the psychological needs of patients to achieve both physical and emotional safety.
Article
Despite the growing problem of anxiety and depression amongst young people aged 14–24 years living in urban settings, reviews about the role of exposure to green and blue spaces or nature in preventing anxiety and depression tend to focus on children, adults or sometimes adolescents. This review aims to explore whether exposure to green and blue spaces reduces the risk of anxiety and depression among young people aged 14–24 years living in urban settings and provide a conceptual framework. The academic databases CINAHL plus, Global Health, MEDLINE, ProQuest: Dissertations and Theses, PsycINFO, Scopus and OpenGrey were searched for research published in English between January 2000 and June 2020. All study designs were eligible. All included studies were assessed for quality. Searches identified 9208 sources with 48 meeting the inclusion criteria for the review. Experimental studies provided evidence that walking or being in a green space improves mood and state anxiety immediately following the intervention. Non-randomised evaluations and observational studies suggest that social interaction, physical activity, and mindfulness mediate the relationship between exposure to green space and mental health. We propose that the absence of noise and restorative qualities of green spaces promotes mindfulness and interrupt rumination, which in turn reduce the risk of anxiety disorders and depression. This review and the resulting conceptual framework provide evidence to healthcare professionals about the value of contact with nature and green social prescribing. For policymakers, it provides evidence about the value of bringing the benefits of forests, vegetation and nature into cities, and ensuring that these spaces are accessible and safe for young people to use.