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Conceptually supported by recovery, positive psychology, and health promotion perspectives, this study explored the role of leisure in recovery and health among culturally diverse individuals with mental illness. One-on-one survey interviews were conducted with Black (n = 35), Hispanic/Latino (n = 28), White (n = 28), and Asian (n = 8) adults (aged between 23 and 78) with mental illness (N = 101). A variety of mental health diagnoses were represented in the sample (e.g., bipolar disorder, n = 32; major depression, n = 23; schizophrenia, n = 22). Regression analyses were performed to estimate the predictive effects of leisure variables on recovery, health, and psychiatric symptoms. The findings emphasize the importance of: (a) meanings that persons with mental illness gain from leisure (e.g., connection/belonging, identity, freedom/autonomy) (i.e., meaning making via leisure) and (b) leisure opportunities to fight against or reduce perceptions of boredom (i.e., boredom reduction in leisure) as both of these were significant predictors of recovery. Also, a greater perception of being actively engaged/involved (i.e., perceived active living) was a significant predictor of recovery and overall physical and mental health and less frequent psychiatric symptoms, whereby leisure potentially provides a key context for the pursuit of active living. Furthermore, the use of leisure both for coping with stress (i.e., stress coping via leisure) and reducing boredom significantly predicted fewer psychiatric symptoms. The findings highlight the need to consider the experiences, feelings/emotions, and meanings that people with mental illness gain from leisure beyond simply behavioral forms of leisure (i.e., leisure activities) per se by respectfully appreciating the cultural diversity of people with mental illness.
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American Journal of
Psychiatric Rehabilitation
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Role of Leisure in Recovery
From Mental Illness
Yoshitaka Iwasaki a , Catherine Coyle b , John Shank
b , Emily Messina c , Heather Porter b , Mark Salzer
b , David Baron d , Gretchen Kishbauch b , Rocio
Naveiras-Cabello b , Lynda Mitchell b , Andera Ryan b
& Glenn Koons b
a Faculty of Extension , University of Alberta ,
Edmonton , Alberta , Canada
b Department of Rehabilitation Sciences , Temple
University , Philadelphia , Pennsylvania , USA
c Department of Physical Education, Health, and
Recreation , Eastern Washington University ,
Cheney , Washington , USA
d Department of Psychiatry , University of Southern
California , Los Angeles , California , USA
Published online: 28 May 2014.
To cite this article: Yoshitaka Iwasaki , Catherine Coyle , John Shank , Emily Messina ,
Heather Porter , Mark Salzer , David Baron , Gretchen Kishbauch , Rocio Naveiras-
Cabello , Lynda Mitchell , Andera Ryan & Glenn Koons (2014) Role of Leisure in
Recovery From Mental Illness, American Journal of Psychiatric Rehabilitation, 17:2,
147-165, DOI: 10.1080/15487768.2014.909683
To link to this article: http://dx.doi.org/10.1080/15487768.2014.909683
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Role of Leisure in Recovery From
Mental Illness
Yoshitaka Iwasaki
Faculty of Extension, University of Alberta, Edmonton,
Alberta, Canada
Catherine Coyle and John Shank
Department of Rehabilitation Sciences, Temple
University, Philadelphia, Pennsylvania, USA
Emily Messina
Department of Physical Education, Health, and
Recreation, Eastern Washington University, Cheney,
Washington, USA
Heather Porter and Mark Salzer
Department of Rehabilitation Sciences, Temple
University, Philadelphia, Pennsylvania, USA
David Baron
Department of Psychiatry, University of Southern
California, Los Angeles, California, USA
Gretchen Kishbauch, Rocio Naveiras-Cabello,
Lynda Mitchell, Andera Ryan, and Glenn Koons
Department of Rehabilitation Sciences, Temple
University, Philadelphia, Pennsylvania, USA
Address correspondence to Yoshitaka Iwasaki, PhD, Professor and Associate Dean, Research,
Faculty of Extension, University of Alberta, 2-281 Enterprise Square, 10230 Jasper Ave.,
Edmonton, Alberta T5J 4P6, Canada. E-mail: iwasaki@ualberta.ca
American Journal of Psychiatric Rehabilitation, 17: 147–165, 2014
Copyright #Taylor & Francis Group, LLC
ISSN: 1548-7768 print=1548-7776 online
DOI: 10.1080/15487768.2014.909683
147
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Conceptually supported by recovery, positive psychology, and health pro-
motion perspectives, this study explored the role of leisure in recovery and
health among culturally diverse individuals with mental illness. One-on-one
survey interviews were conducted with Black (n ¼35), Hispanic=Latino
(n ¼28), White (n ¼28), and Asian (n ¼8) adults (aged between 23 and 78)
with mental illness (N ¼101). A variety of mental health diagnoses were
represented in the sample (e.g., bipolar disorder, n ¼32; major depression,
n¼23; schizophrenia, n ¼22). Regression analyses were performed to esti-
mate the predictive effects of leisure variables on recovery, health, and psychi-
atric symptoms. The findings emphasize the importance of: (a) meanings that
persons with mental illness gain from leisure (e.g., connection=belonging,
identity, freedom=autonomy) (i.e., meaning making via leisure) and (b) leisure
opportunities to fight against or reduce perceptions of boredom (i.e., boredom
reduction in leisure) as both of these were significant predictors of recovery.
Also, a greater perception of being actively engaged=involved (i.e., perceived
active living) was a significant predictor of recovery and overall physical and
mental health and less frequent psychiatric symptoms, whereby leisure poten-
tially provides a key context for the pursuit of active living. Furthermore, the
use of leisure both for coping with stress (i.e., stress coping via leisure) and
reducing boredom significantly predicted fewer psychiatric symptoms. The
findings highlight the need to consider the experiences, feelings=emotions,
and meanings that people with mental illness gain from leisure beyond sim-
ply behavioral forms of leisure (i.e., leisure activities) per se by respectfully
appreciating the cultural diversity of people with mental illness.
Keywords:Leisure; Recreation; Recovery; Health; Mental illness; Culture; Race; Ethnicity;
Active living; Meaning; Coping
The promotion of recovery is the central goal of the public mental
health system (Power, 2009; Segal, Silverman, & Temkin, 2010;
Whitley & Drake, 2010). This recovery orientation requires greater
attention to established, but understudied, interventions (e.g., peer
support), new interventions (e.g., wellness recovery action plans,
supported education and employment), and new concepts applied
to the promotion of recovery. Recovery is defined as ‘‘a journey of
healing and transformation enabling a person with a mental health
problem to live a meaningful life in a community of his or her
choice while striving to achieve his or her full potential’’ (U.S.
Department of Health and Human Services, 2006) from a holistic=
ecological, person-centered, and strength-based perspective
(National Alliance on Mental Illness Policy Research Institute,
2004; Sells, Borg, & Marin, 2006).
As a key contributor to recovery, the pursuit of active living
(Cabassa, Ezell, & Lewis-Ferna
´ndez, 2010; Richardson, Faulkner,
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McDevitt, et al., 2005) has been discussed in relation to counteract-
ing inactive, sedentary lifestyles, and obesity among people with
mental illness that present substantial health risks including dia-
betes and heart disease (Brown, Leith, Dickerson, et al., 2010; Gal-
letly & Murray, 2009; Wheeler, Harrison, Mohini, et al., 2010).
However, it is plausible that recovery, in addition to health pro-
motion, may also be strengthened in persons with serious mental
illness if efforts to promote active living include enjoyable, express-
ive, and meaningful leisure experiences (Fullagar, 2008, pp. 14–16;
Iwasaki, Coyle, & Shank, 2010; Rudnick, 2005). Leisure refers to a
relatively freely chosen activity and its accompanying experiences
and emotions (e.g., enjoyment, satisfaction, happiness, excitement)
that can make one’s life enriched and meaningful (Blackshaw,
2010; Kelly & Freysinger, 2000; Mannell & Kleiber, 1997).
A number of previous studies have shown that leisure-related
concepts are associated with recovery-oriented outcomes. For
example, some qualitative research suggests that leisure opportu-
nities (e.g., at recreation centers, in peer-run programs) can promote
recovery from mental illness (Clay, Schell, Corrigan, & Ralph, 2005;
Swarbrick & Brice, 2006). Additionally, Babiss’s (2002) study of
women with mental illness found that expressive leisure activities
(e.g., art, music, writing=journaling, dance) facilitate recovery,
while salient themes of recovery in the study of Davidson, Borg,
and Mann (2005) included going out and engaging in normal
activities and having meaningful social roles and positive relation-
ships outside the formal mental health system. Leisure and its
related, more organized and purposeful form, recreation, provide
opportunities for these meaningful personal and social activities
(Henderson & Bialeschki, 2005; Kleiber, Hutchinson, & Williams,
2002; Iwasaki, MacKay, Mactavish, Ristock, & Bartlett, 2006). Also,
leisure was found to be an antidote to depressive symptomotology
in Fullagar’s (2008) study of 48 Australian women with depression.
Fullagar found that creative (e.g., art=craft, gardening, music,
community theatre), actively embodied (e.g., martial arts, walking,
dance, yoga, tai chi, swimming, bowling), and social (e.g., cafes,
friend=support groups, church, pets, helping others) leisure acted
as a counterdepressant to facilitate recovery and transformation
through the facilitation of the hope that there is life beyond
depression.
Furthermore, Lehman’s study with persons living with mental
illness (n ¼278) reported leisure’s (a subjective quality-of-life
Role of Leisure in Recovery From Mental Illness 149
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indicator) strong association with global well-being (r ¼.59)
(Lehman, 1983), which is consistent with the Trauer et al. (1998)
study of 55 patients with serious mental illness reporting that one’s
satisfaction with leisure had the strongest association with global
well-being (r ¼.76) (greater than any other life-domain measures
such as health, family, and social relations). Also, the study of
Lloyd, King, and McCarthy (2007) of 44 clubhouse members living
with mental illness found that their motivation to engage in leisure
was significantly correlated with recovery (r¼.35). Finally, Lecomte,
Corbie
`re, and The
´roux (2010) found that high capacity for leisure
activities was a significant factor explaining optimism as a key
element of recovery among 150 patients with early psychosis.
A focus on leisure and active living is consistent with positive
psychology (Seligman & Csikszentmihalyi, 2000), which has been
suggested as an important theoretical framework for promoting
recovery (Resnick & Rosenheck, 2006; Slade, 2010). Positive psy-
chology is ‘‘the science of what is needed for a good life’’ (Seligman
& Csikszentmihalyi) and is defined at subjective (e.g., well-being,
satisfaction), individual (e.g., courage, perseverance, spirituality),
and group (e.g., citizenship) levels (Seligman, 2002).
This study furthers our understanding of the role of leisure in
recovery and health of individuals with mental illness by focusing
on the contributions of leisure to meaning making, stress coping,
and satisfaction production. The role of leisure in coping with stress
represents a humanistic and strengths-oriented approach to dealing
with challenges in life via leisure that may help people gain valued
meanings of life and make their lives enjoyable (Kleiber et al., 2002;
Iwasaki et al., 2006; Kleiber & Hutchinson, 2010; Chun & Lee, 2010;
Pressman, Matthews, Cohen, et al., 2009). On the other hand, poten-
tially negative or dark sides of leisure should be recognized because
leisure may not be exclusively positive (Rojek, 1999; Rojek, Shaw, &
Veal, 2006). Thus, another concept explored in this study includes
leisure boredom (i.e., individual differences in perceptions of bore-
dom in leisure) (Iso-Ahola & Weissinger, 1990) because some per-
sons with mental illness may have difficulty in using their free or
leisure time constructively.
In addition to further developing a theoretical framework for
how leisure facilitates recovery, this study is also among the first
to address the gap in knowledge about the leisure experiences of
culturally diverse groups of individuals with serious mental illness.
It also addresses the serious underrepresentation of racial=ethnic
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minorities in lifestyle intervention studies among people with
mental illness and a lack of attention to cultural factors in this area
of research (Hwang, Myers, Abe-Kim, & Ting, 2008; Ida, 2007;
Mendenhall, 2008; Warren, 2007; Graham, 2011; Smith, Stinson,
Dawson, et al., 2006). This approach has important implications,
considering the mental health disparities being faced by non-White
persons with mental illness (e.g., the double jeopardy of having
mental illness and racial=ethnic minority status, leading to great
risk of stigma, isolation=exclusion, inaccessibility, and limited
opportunities in life) (Piatt, 2011).
Built on the above conceptual perspectives, this paper examines
the following primary research questions: Do leisure-related con-
cepts, including leisure-generated meanings, leisure stress coping,
leisure satisfaction, leisure boredom, and perceived active living,
significantly predict recovery among culturally diverse individuals
having mental illness? If so, to what extent?
METHODS
Guided by the principles of community-based participatory
research (e.g., mutual respect and trust, colearning and collective
capacity building, power sharing, and coownership of research)
(Israel, Eng, Schulz, & Parker, 2005; Minkler & Wallerstein, 2008;
Wallerstein & Duran, 2006), we worked collaboratively with five
community mental health agencies (offering education, advocacy,
and community outreach programs and mental health services) in
Philadelphia, Pennsylvania, to recruit study participants. Members
of our research team held information sessions to describe this
study for potential participants at partner agency sites. Partner
agency staff assembled diverse consumers from different programs
that represented each agency’s consumer base for these information
sessions. After attending the informational session, interested indi-
viduals who met inclusion criteria (i.e., community-dwelling adults
with a DSM-IV diagnosis confirmed by psychiatric case managers)
voluntarily listed their contact information so that face-to-face sur-
vey interviews could be scheduled at their convenience.
The interviewers were three graduate research assistants (RAs)
(including one doctoral and two master’s students) with extensive
experience in working with our target population. As key members
of our research team, the RAs gained sufficient knowledge about
Role of Leisure in Recovery From Mental Illness 151
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our research methodology including interview procedures (in
addition to its conceptualization), informed by the coprincipal
investigators of this project via a series of team meetings. The inter-
view protocol and procedures developed by our research team
went through a series of iterations to ensure that the measures, for-
mats, and implementation process were appropriate. The instruc-
tions and introductory script for the interviewer were developed,
along with the use of a coding sheet. Within each section of the
questionnaire, a note to an interviewer was provided (e.g., ‘‘Use
green cards. Review each response while pointing to each card.
Associate the numbers with the verbal prompts.’’). Following a ser-
ies of training sessions using this interview protocol with the RA,
the interview procedure was implemented by the RA via a pilot test
with two individuals (one male with bipolar disorder and one
female with schizophrenia) from our target population who
worked with our team as knowledgeable consumer representatives.
Based on feedback from these two interviewees, the interview pro-
cess was deemed appropriate, including the RAs’ implementation
techniques, the measures, and the interview’s relevance to our tar-
get population, although minor wording refinement was made as
suggested by the interviewees.
Conducted by these RAs, the interview process followed an
IRB-approved protocol including voluntary participation, informed
consent, and confidentiality and anonymity of data. Each one-on-
one interview (1.5 to 2 hours) followed the same structured
sequence and included the standardized measures listed below.
At the completion of the interview, each participant was paid $20.
Participants
Fifty-five men and 46 women were enrolled in the study (N ¼101).
The average age was 48 years, with a range of 23 to 78. As intended,
we enrolled an ethnically diverse group of participants: Black
(n ¼35), Hispanic=Latino (n ¼28), White (n ¼30), and Asian
(n ¼8). Diagnoses reported and confirmed by case managers
include bipolar disorder (n ¼32), major depression (n ¼23), schizo-
phrenia (n ¼22), bipolar=schizophrenic (n ¼10), schizoaffective dis-
order (n ¼8), substance abuse (n ¼3), panic disorder (n ¼1),
posttraumatic stress disorder (n ¼1), and borderline personality
disorder (n ¼1). Of the 101 participants, 81 were unemployed
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TABLE 1. Characteristics of study sample (N¼101)
Categories n
Gender Men 55
Women 46
Race=Ethnicity Black 35
White 30
Hispanic=Latino 28
Asian 8
Age 20–29 6
30–39 10
40–49 36
50–59 39
60–69 8
70–79 2
Primary diagnosis Bipolar disorder 32
Major depression 23
Schizophrenia 22
Bipolar=Schizophrenic 10
Schizoaffective disorder 8
Substance abuse 3
Panic disorder 1
Posttraumatic stress disorder 1
Borderline personality disorder 1
Relationship status Single, not married, not in a relationship 43
Married 11
Divorced 16
Separated 7
Widowed 6
Not married, in a relationship 13
Not married, cohabiting 3
Other 2
Education Less than 9 years of school 14
9–12 years of school (not graduated) 23
High school graduate or GED 33
Some college, vocational, trade, or business school 16
Associate or vocational graduate 6
College graduate 5
Some graduate school 2
Master’s degree or equivalent 3
Current job status Full-time (32 þhours weekly) 7
Part-time 7
Irregular work 1
Retired 4
Unemployed not on disability 34
Unemployed on disability 47
Other 1
(Continued)
Role of Leisure in Recovery From Mental Illness 153
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(n ¼47 on disability, n ¼34 not on disability), 43 were single (not
married, not in a relationship), and 79 reported yearly income of
less than $10,000 (n ¼28, less than $5,000; n ¼51, $5,000– $10,000)
(see Table 1).
Measures
The Recovery Assessment Scale (RAS; Corrigan, Salzer, & Ralph, 2004) is
a measure of subjective experience of recovery. The measure consists
of 24 items using a 5-point Likert-type scale (1 ¼‘‘strongly disagree’’ to
5¼‘‘strongly agree’’) with five factors: personal confidence and hope,
willingness to ask for help, goal and success orientation, reliance on
others, and no domination by symptoms. Sample items include: ‘‘I
have a desire to succeed,’’ ‘‘I have a purpose in life,’’ and ‘‘I like
myself.’’ Very good psychometric properties of the RAS have been
reported (Andresen, Caputi, & Oades, 2010; Barbic, Krupa, &
Armstrong,2009;Jerrell,Cousins,&Roberts,2006;Lloydetal.,
2007). Recently, the Cavelti, Kvrgic, Beck, Kossowsky, and Vauth
(2012) review of 13 self-report instruments to assess recovery from
schizophrenia rated RAS as the best currently available measure of
personal recovery based on their assessments on validity (content
and construct validity), reliability (internal consistency and test-retest
reliability), user friendliness, and administrator friendliness.
The SF-12 Health Survey (Ware, Kosinski, & Keller, 1996; 12
items) assesses physical and mental health, yielding two summary
scores: the Mental Component Summary and Physical Component
Summary, whereas the combined scores represent an overall physi-
cal and mental health indicator. Sample items include ‘‘During the
past 4 weeks how much did pain interfere with your normal
work?’’ (0 ¼‘‘not at all’’ to 4 ¼‘‘extremely’’), and ‘‘During the past
4 weeks did you have a lot of energy? (0 ¼‘‘none of the time’’ to
TABLE 1. Continued
Categories n
Yearly income Less than $5,000 28
$5,000–$10,000 51
$10,000–$15,000 8
$15,000–$20,000 5
$20,000–$30,000 5
$30,000–$40,000 3
Missing 1
154 Y. Iwasaki et al.
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5¼‘‘all of the time’’). The SF-12 has been used effectively with per-
sons living with mental illness (Salyers, Bosworth, Swanson, et al.,
2000; Teh, Kilbourne, McCarthy, et al., 2008).
The Colorado Symptom Index (CSI) (Shern, Wilson, & Coen, 1994)
is a self-report measure (with 10 items) of psychiatric symptoms, in
which people indicate the frequency of various psychiatric symp-
toms they have experienced during the past month, using a 5-point
Likert-type scale: 1 ¼‘‘At least every day,’’ 2 ¼‘‘Several times a
week,’’ 3 ¼‘‘Several times during the month,’’ 4 ¼‘‘Once during
the month,’’ and 5 ¼‘‘Not at all.’’ Boothroyd and Chen’s (2008)
study (N ¼3,874) provided strong evidence of the CSI’s psycho-
metric properties including excellent internal consistency (.92),
test-retest reliability (.71), and strong validity (e.g., CSI scores
distinguished among individuals with and without mental health
services needs and were significantly correlated with functioning).
The Leisure Meanings Gained Scale (LMGS) (Porter, 2009) mea-
sures leisure-generated meanings people gain, while leisure meaning
is defined as ‘‘a socially and contextually grounded psychological=
emotional experience that holds inner significance for an individual
that evolves from, or within, the context of leisure.’’ Porter’s
literature-informed synthesis (including positive psychology frame-
work) and psychometric testing including factor analysis (N ¼163)
(Porter) supported the dimensionality of this scale including con-
nection=belonging, identity, freedom=autonomy, power=control,
and competence=mastery with a total Cronbach alpha of .97. This
scale asks a person to list his or her most favorite leisure activities,
then, while thinking about the ways he or she participates in these
activities, respond to each item such as ‘‘It makes me feel at peace
within myself,’’ ‘‘It lets me express who I am,’’ and ‘‘It makes me
feel a sense of wholeness; more together.’’ The measure consists
of 24 items with a Likert-type scale (1 ¼‘‘never’’ to 5 ¼‘‘always’’).
The Leisure Coping Scale (Iwasaki & Mannell, 2000) measures peo-
ple’s use of leisure as a way of coping with stress, consisting of two
versions: (a) the Leisure Coping Belief Scale (LCBS, dispositional
measure) to assess people’s beliefs that their leisure contributes to
coping with stress, and (b) the Leisure Coping Strategy Scale (LCSS,
situation-specific measure) to assess the extent to which leisure pur-
suits specifically help people cope with stress. The LCBS asks the
subject to report how he or she engages in leisure for stress coping
in general, whereas the LCSS asks the person to think back to
stressful events encountered in the past month and then recall
Role of Leisure in Recovery From Mental Illness 155
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how he or she coped with these events. Sample items include ‘‘I
gain feelings of personal control in leisure’’ (LCBS) and ‘‘Leisure
helped me manage my negative feeling’’ (LCSS). The measure con-
sists of 21 items with a Likert-type scale (1 ¼‘‘very strongly dis-
agree’’ to 7 ¼‘‘very strongly agree’’). Iwasaki and Mannell’s
(2000) study (N ¼247) reported internal consistency (.91 and .93
for the LCBS and LCSS, respectively) and construct validity includ-
ing the dimensionality and factor structures of the two scales based
on confirmatory factor analysis. The usefulness of the Iwasaki and
Mannell framework has been demonstrated both in the leisure
research literature (e.g., Heintzman & Mannell, 2003) and in the
health research literature (e.g., Iwasaki, Mannell, Smale, & Butcher,
2005).
The Leisure Satisfaction Scale (Beard & Ragheb, 1980) assesses the
extent to which individuals feel that their needs are met through
their leisure activities. Di Bona (2000) and Trottier et al. (2002)
showed good validity and reliability of the scale. Sample items
include ‘‘My leisure activities are very interesting to me,’’ ‘‘I engage
in leisure activities simply because I like doing them,’’ ‘‘I use many
different skills and abilities in my leisure activities,’’ and ‘‘My
leisure activities give me a sense of accomplishment.’’ The measure
consists of 24 items with a Likert-type scale (1 ¼‘‘almost never
true’’ to 5 ¼‘‘almost always true’’).
The Leisure Boredom Scale (Iso-Ahola & Weissinger, 1990) mea-
sures individual differences in perceptions of boredom in leisure.
Sample items include ‘‘Leisure time is boring,’’ ‘‘During my leisure
time, I become highly involved in what I do’’ (reverse item), ‘‘I
waste too much of my leisure time sleeping,’’ ‘‘For me, leisure time
just drags on and on,’’ and ‘‘I am excited about leisure time’’
(reverse item). The measure consists of 12 items with a Likert-type
scale (1 ¼‘‘strongly disagree’’ to 5 ¼‘‘strongly agree’’). Besides
Iso-Ahola and Weissinger, Gordon and Caltabiano (1996) and
Wegner, Flisher, Muller et al. (2002) reported very good psycho-
metric properties of this scale.
The Perceived Active Living Scale has been developed and used in
this study to assess the extent to which people feel involved and
actively engaged in various parts of life including personal, family,
social, community, and cultural life domains (six items including
life in general=overall), using a Likert-type 5-point scale (1 ¼‘‘not
active at all’’ to 5 ¼‘‘very active’’). As stated in its instructions,
‘‘By ‘active’ or ‘actively engaged’ we mean having things to think
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about, places to go, things to do, and people to be with in various
parts of your life.’’ The measure’s Cronbach alpha in this study
was .83, and all the Cronbach alpha reliability scores for the mea-
sures used in the study are reported in Table 2.
RESULTS
As shown in Table 2, each of the leisure variables except leisure
boredom was positively and significantly correlated with recovery,
overall health (SF-12), and psychiatric symptom scores (CSI in
which higher scores indicate lower psychiatric symptoms). In con-
trast, leisure boredom was negatively and significantly correlated
with recovery, SF-12, and CSI. Also, perceived active living had sig-
nificant positive correlations with leisure-generated meanings, lei-
sure coping, leisure satisfaction, recovery, SF-12, and CSI, and
significant negative correlations with leisure boredom.
TABLE 2. Zero-order correlation coefficients among variables
Variables 1 2 3 4 5 6 7 8 Mean SD Alpha
1. Leisure-
generated
Meanings
.68.79.68.61.75.33.413.84 .78 .94
2. Leisure
coping
.77.73.55.66.36.545.23 1.02 .95
3. Leisure
satisfac-
tion
.76.59.68.43.483.79 .78 .94
4. Leisure
boredom
.57.69.42.562.31 .67 .85
5. Perceived
active
living
.66.57.543.32 .93 .83
6. Recovery .48.503.98 .69 .93
7. SF-12
Overall
health
.632.90 1.02 .87
8. Colorado
Symptom
Index
3.52 .97 .90
p<.001; all measures use 5-point scales except for leisure coping, which uses a
7-point scale. Higher Colorado Symptom Index scores indicate lower psychiatric
symptoms.
Role of Leisure in Recovery From Mental Illness 157
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We performed hierarchical regression by entering gender and
race=ethnicity at step 1 and then entered predictor variables of
interest at step 2. Our findings (see Table 3) showed that 65%
(R2
change ¼:65, F
change
¼63.6, p <.001) of the variance in recovery
was significantly and uniquely accounted for by leisure-generated
meanings (b¼.43, p <.001), perceived active living (b¼.25,
p<.001), and leisure boredom (b¼.26, p <.001). Another
regression (Table 4) estimated that 31%(R2
change ¼:31, F
change
¼46.5,
46.5, p <.001) of the variance of SF-12 overall health was signifi-
cantly and uniquely accounted for by perceived active living
(b¼.56, p <.001). In addition, we found that 38%(R2
change ¼:38,
F
change
¼20.3, p <.001) of the variance in psychiatric symptoms
was significantly and uniquely accounted for by leisure stress
coping (b¼.22, p <.05), perceived active living (b¼.28, p <.01),
and leisure boredom (b¼.22, p <.001) (Table 5).
TABLE 4. Hierarchical regression (dependent variable: SF-12 overall health): total
sample (N¼101)
Predictors R2
total R2
adjusted R2
change F
change
btp
Step 1: .05 .03 .05 2.59 n.s.
Gender .19 1.95 n.s.
Race=Ethnicity .12 1.26 n.s.
Step 2: .36 .34 .31 46.58 .00
Perceived active living .56 6.82 .00
Note: Gender (1 ¼woman, 0 ¼man), Race=Ethnicity (1 ¼Non-White, 0 ¼White),
n.s. ¼statistically nonsignificant.
TABLE 3. Hierarchical regression (dependent variable: recovery): total sample
(N¼101)
Predictors R2
total R2
adjusted R2
change F
change
btp
Step 1: .02 .01 .02 .70 n.s.
Gender .02 .23 n.s.
Race=Ethnicity .12 1.17 n.s.
Step 2: .67 .65 .65 63.63 .00
Leisure-generated meanings .43 4.98 .00
Leisure boredom .26 3.05 .00
Perceived active living .25 3.19 .00
Note: Gender (1 ¼woman, 0 ¼man), Race=Ethnicity (1 ¼Non-White, 0 ¼White),
n.s. ¼statistically nonsignificant.
158 Y. Iwasaki et al.
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DISCUSSION
Overall, the findings highlight the potentially significant role of
leisure in recovery of culturally diverse individuals with mental
illness. In particular, the use of leisure for both promoting meaning
making and reducing boredom significantly predicted recovery
from mental illness. Also, greater perceptions of being actively
engaged and involved in life (i.e., perceived active living) signifi-
cantly predicted recovery and overall health, as well as lower psy-
chiatric symptoms. Furthermore, the use of leisure for both coping
with stress and reducing boredom significantly predicted lower
psychiatric symptoms. The findings add to and give new insights
into the knowledge in the recovery literature, given that the role
of leisure in recovery from mental illness has seemed to be largely
neglected (and perhaps undervalued) and seldom studied directly
(Clay et al, 2005; Davidson et al., 2005; Iwasaki et al., 2010).
These findings suggest the importance of giving attention to the
experiences, feelings, and meanings that people with mental illness
gain from leisure activity, beyond simply behavioral forms of lei-
sure (i.e., leisure activities) per se. Specifically emphasized are the
meanings that these persons value, search for, and obtain from lei-
sure pursuits, as well as leisure opportunities to fight against and
reduce a perception of boredom, so that they can find interest,
enjoyment, and excitement from leisure activity. It seems important
to consider the role of leisure in promoting a sense of connection=
belonging, identity, freedom=autonomy, control, and competence=
mastery as different ways to facilitate meaning making via leisure
TABLE 5. Hierarchical regression (dependent variable: Colorado Symptom Index):
total sample (N¼101)
Predictors R2
total R2
adjusted R2
change F
change
btp
Step 1: .02 .01 .02 .96 n.s.
Gender .03 .30 n.s.
Race=Ethnicity .14 1.36 n.s.
Step 2: .40 .37 .38 20.34 .00
Leisure stress coping .22 1.87 .04
Leisure boredom .22 1.88 .04
Perceived active living .28 2.77 .01
Note: Gender (1 ¼woman, 0 ¼man), Race=Ethnicity (1 ¼Non-White, 0 ¼White),
n.s. ¼statistically nonsignificant; higher Colorado Symptom Index scores indicate
lower psychiatric symptoms.
Role of Leisure in Recovery From Mental Illness 159
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because these are identified as the key dimensions of leisure-
generated meanings in the LMGS (see Methods).
This notion seems consistent with past studies (Arai, Griffin,
Miatello, et al., 2008; Hood & Carruthers, 2007; Pedlar, Yuen, & For-
tune, 2008). For example, Hood and Carruthers’ Leisure and
Well-being Model, which is supported by both positive psychology
and leisure research literature, describes the roles of leisure (as a
therapeutic device, e.g., for persons with disabilities) in promoting
well-being: (a) savoring leisure (to generate positive emotions), (b)
authentic leisure (to promote positive identity), (c) leisure gratifi-
cation (in promoting have highly engaged experiences), (d) mindful
leisure (to cope well in life), and (e) virtuous leisure (to mobilize
strengths), all of which emphasize the pursuit of actively engaged,
enjoyable, and meaningful life.
It is, however, important to note that examining psychosocial
benefits of leisure that has implications for the concept of leisure-
generated meanings has a long tradition in the leisure research
field. For example, Tinsley and colleagues’ paragraphs about
leisure (PAL; Tinsley & Kass, 1980; Tinsley, Colbs, Teaff, &
Kaufman, 1987) and Driver and colleagues’ (1978, 1987) recreation
experiences preferences (REP) have shown its utility, especially in
outdoor recreation settings. The PAL consist of 27 paragraphs
measuring 27 leisure-activity-specific, need-satisfier dimensions
(e.g., affiliation, self-esteem, achievement), whereas REP scales,
representing 19 motivation domains (Manfredo, Driver, & Tarrant,
1996) are grounded in motivation theory, which posits that indivi-
duals recreate to attain certain psychological and physical goals
(Driver & Brown, 1978; Driver, Brown, Stankey, & Gregoire, 1987;
Manfredo et al., 1996). Although we acknowledge the significance
of their work, including its implications for leisure meaning-based
research, the concept of meanings gained from leisure or recreation
is not explicitly focused on in these measures. On the other hand,
the LMGS used in our study is designed to more directly measure
this concept, with integrating relevant contemporary knowledge
from the literature (Porter, 2009).
Furthermore, the findings suggest that the extent to which per-
sons with mental illness feel involved and actively engaged in life
(i.e., perceived active living) seems to be a critical predictor of
recovery and overall health. Because this study reported a strong,
significant correlation of perceived active living with several leisure
variables (r ¼.61, .59, .55, .58 for leisure generated meanings,
160 Y. Iwasaki et al.
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leisure satisfaction, leisure coping, and leisure boredom, respect-
ively), leisure can provide a key context for the pursuit of active liv-
ing. In addition, the role of leisure in coping with stress appears to
be important in its potential association with lower psychiatric
symptoms for culturally diverse individuals with mental illness.
Because of the cross-sectional data, however, causal interpretations
of the findings should be avoided, along with the use of a
partnership-based sampling method (as opposed to random sam-
pling) and the sample size (N ¼101) as the limitations of the study.
CONCLUSION
The mental health system should be further expanded to more appro-
priately meet the unique needs of culturally diverse individuals with
mental illness from a more holistic, humanistic, and strengths-based
perspective (Ida, 2007; Iwasaki et al., 2010; Resnick & Rosenheck,
2006; Slade, 2010; Young, Chinman, Forquer, et al., 2005). Consistent
with both recovery and positive psychology frameworks that support
such perspective, it is important to give more serious attention to the
role of actively engaged, enjoyable, and meaningful leisure (e.g., for
meaning making, stress coping, and boredom reduction) in recovery
and health promotion in mental health services. As explicitly
intended in this study, acknowledging the cultural diversity of the
population with mental illness (of the total of 101, 71 participants
were non-White, including Black, Hispanic, and Asian) is a must
from both conceptual (e.g., knowledge advancement) and practical
(e.g., service provision, policy-making) perspectives.
FUNDING
The research project on which this paper is based was supported by
the National Institutes of Health=National Institute of Mental
Health (Award No.: R21MH086136).
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Role of Leisure in Recovery From Mental Illness 165
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