article review
Research Article
Culturally Adapted Psychotherapeutic Interventions for Latino Depression and Anxiety: A Meta-Analysis
Abbie Nelson1 , Esther Ayers1, Fei Sun1, and Anao Zhang2
Abstract Objectives: Culturally adapted psychotherapeutic interventions have been developed to treat Latino depression and anxiety. Evidence is lacking regarding the overall effectiveness and generalizability of these adapted interventions. This study conducted a systematic review and meta-analysis of psychotherapeutic interventions for Latino depression or anxiety. Method: A search of nine electronic databases and manual review of reference lists were conducted. Thirteen studies of randomized controlled trials were eligible and included for meta-analysis using robust variance estimation in meta-regression. Results: An overall small treatment effect that is statistically significant was identified for Latino depression or anxiety of d¼ 0.334, 95% confidence interval [0.049, 0.619], p < .05. Discussion and Implications: More research is needed to determine the effectiveness of culturally adapted psychotherapeutic interventions for Latino depression or anxiety.
Keywords Latino, psychotherapeutic interventions, Latino depression or anxiety, systematic review, meta-analysis
Anxiety and depression, affecting all demographics across the
life span, are the two most common mental health disorders for
the population in the United States, with anxiety disorders
estimated at 28.8% (Kessler et al., 2005) and depression esti-
mated at 17% (Centers for Disease Control and Prevention
[CDC], 2018). An estimated 7.1% of children and teenagers
(CDC, 2019) and 21.7% of adults (Kessler et al., 2005) in the
United States have an anxiety disorder in their lifetime. One in
six Americans, approximately 17%, will experience depression
in their life span (CDC, 2019). The estimates of overall pre-
valence rates of depression among Latinos were higher than the
national average of 17% at a rate of 27% determined by a cross-
sectional analysis of 15,864 men and women aged 18–74 years
in the population-based Hispanic Community Health Study/
Study of Latinos (Wassertheil-Smoller et al., 2014). In this
study, a shortened Center for Epidemiological Studies Depres-
sion Scale was used to assess depression (Wassertheil-Smoller
et al., 2014). Alegria et al. (2008), found a rate of anxiety
disorders for U.S.-born Latinos 18.9% compared to foreign-
born Latino immigrants at a lower rate of 15.2% using data
from the National Latino and Asian American Study and the
National Comorbidity Survey Replication (Kessler & Merikan-
gas, 2004). Although numbers vary depending on the study and
method, it is still clear Latinos are experiencing anxiety and
depression. We used Latino to refer to Hispanic and Latino
population studied in this research. The term “Hispanic”
emerged in the middle to late 1970s and was used by the Cen-
sus Bureau in the 1980s to describe people with varying
backgrounds but share a common language and cultural heri-
tage (Del Olmo, 2001 as cited by Delgado, 2007). The term
Latino emerged in the early 1990s and it is not uncommon to
see the terms Hispanic and Latino used interchangeably (Del-
gado, 2007).
The Latino population in the United States was 56.5 million
in 2015 accounting for 17.6% of the total population, and it is
expected to grow to 29% of the population by 2050 (Pew
Research, 2015).The high prevalence of both depression and
anxiety among Latinos and the limited number of culturally
adaptive interventions and research of efficacy create the need
for research to identify if culturally adaptive interventions are
effective in addressing depression and/or anxiety among Lati-
nos. Without effective treatment for Hispanics with anxiety and
depression, the negative societal effects will compound as the
percentage of the population grows likely leading to more eco-
nomic, health, and familial costs to individuals and society.
This study reports findings of a systematic review and meta-
analysis of culturally adapted psychotherapeutic interventions
for treating Latino depression or anxiety. The purpose of this
1 School of Social Work, Michigan State University, East Lansing, MI, USA 2 School of Social Work, University of Michigan, Ann Arbor, MI, USA
Corresponding Author:
Abbie Nelson, School of Social Work, Michigan State University, 655 Audi-
torium Rd #254, East Lansing, MI 48824, USA.
Email: [email protected]
Research on Social Work Practice 2020, Vol. 30(4) 368-381 ª The Author(s) 2020 Article reuse guidelines: sagepub.com/journals-permissions DOI: 10.1177/1049731519899991 journals.sagepub.com/home/rsw
study is to evaluate whether culturally adapted psychothera-
peutic interventions are effective for treating Latino depression
or anxiety. Studies included had interventions for treating
depression or anxiety because depression and anxiety are
highly comorbid, and both outcomes are often reported simul-
taneously in clinical trials.
Compared with non-Latino Whites, Latinos with similar
mental health needs are using mental health services less due
to cultural, structural, and economic factors (Cabassa et al.,
2006). Other barriers to receiving the care they need are lack
of Latino health-care professionals, low socioeconomic levels,
higher rates of uninsured, and societal and individual preju-
dices and discrimination (Ruiz, 2002). If mental illness is left
untreated, it negatively impacts daily functioning causing poor
concentration (Aisenberg et al., 2012), lack of energy (Alegria
et al., 2008), can result in a poorer response to future treat-
ments, and a higher risk the mental illness will become chronic
(Ghio et al., 2013).
Despite the critical need for services, research continues to
identify mental health service gaps among Latinos and suggests
that the use of nonculturally sensitive interventions may not be
effective for Latino populations. The use of culturally adapted
interventions may be a solution for encouraging adherence and
retention to mental health services for Latinos.
Cultural match theory states individuals benefit from inter-
ventions that align more closely with their cultural character-
istics (La Roche et al., 2011). La Roche et al. tested this theory
with the Latino population and found patients were more likely
to adhere to a culturally competent relaxation intervention that
aligned with their cultural values of allocentrism, a term used to
describe a personality trait in which a person focuses their
attention on others’ actions more than themselves. Specifically,
for depression, a culturally adapted behavioral activation tech-
nique showed preliminary success in Latino engagement and
continued investment in services (Kanter et al., 2010). In recent
years as the importance of culturally competent treatment mod-
alities emerged, conceptual models and frameworks for imple-
menting cultural adaptations have been created and
implemented with the realization of the complexity of this
process. Bernal et al. (2009) highlighted the different views
of treatments, one view stating universal treatments should
be able to apply to all people, while others called for a com-
pletely separate approach to interventions depending on the
culture (Comas-Diaz, 2006). As a middle ground between the
above approaches, culturally adapted evidence-based treat-
ments show positive results with diverse populations such as
Latinos and Asian Americans. However, efficacy is inconclu-
sive due to the various ways of measuring cultural adaptations.
For behavioral health interventions, there has been enough
literature published on steps to take to culturally adapt inter-
ventions that five common stages have emerged that behavioral
health researchers and practitioners can use when determining
when and how to implement adaptations (Barrera et al., 2013).
All of the above frameworks give great guidance on how to
identify the need and implement cultural adaptations. A com-
prehensive review article (Jani et al., 2009) looking at the effect
of cultural adaptations of interventions used in the areas of
health, mental health, and substance abuse with Latinos found
that most of the 23 studies included showed positive outcomes
after implementing a culturally adapted intervention. The
groundwork has been laid, but more research is needed to
synthesize the evidence and examine the effect size of cultu-
rally adapted interventions on client outcomes.
Limited systematic reviews attempted to conclude the effec-
tiveness of the statistical significance compared to treatment.
One systematic review study (Pineros-Leano et al., 2017)
examined 11 randomized controlled trial (RCT) and non-
RCT studies to determine the effectiveness of cognitive beha-
vioral therapy (CBT) with immigrant Latinos and described the
various cultural adaptations. Pineros-Leano et al. concluded
that the CBT interventions resulted in decreased depression
symptoms. They described the cultural adaptations used in the
various studies such as environmental and cognitive adapta-
tions but were not able to measure how effective these were.
Another systematic review of 36 RCT and non-RCT studies
focused on depression treatment among Latino adults (Collado
et al., 2016). Thirty-five of the studies incorporated cultural
modifications to the interventions, with the most common
adaptation being the provision of therapy in Spanish. CBT
delivered in client’s homes or via teletherapy showed signifi-
cant reductions in depression compared to control participants.
Individual outcomes had the best results when using interper-
sonal treatment for 16 sessions. The study called for a more
thorough evaluation of treatment moderators relevant to Lati-
nos, including language preference, acculturation, and subse-
quent case management given the heterogeneity of the
population. With the results of the above studies, it remains
unclear how effective cultural adaption is for this population
and what components are responsible for this effect if there is a
significant one.
Even fewer meta-analyses examined the effect of culturally
adapted interventions, without a focus solely on Latinos. A
meta-analysis by Escobar and Gorey (2018) sought to deter-
mine whether culturally adapted cognitive behavioral interven-
tions (CBIs) have a different effectiveness than those without
adaptation. They determined the effect to be significant at post-
intervention period, d ¼ 0.41, 95% confidence interval (CI)
[0.30, 0.52], and at 6- to 12-month follow-up with d ¼ 0.44,
95% CI [0.30, 0.58] when compared to interventions that were
not adapted or were only adapted on “surface structure,” which
involved matching the intervention to observable characteris-
tics of the population (e.g., language) but did not include
deeper cultural aspects. The authors suggested the continued
need for research due to small sample sizes and the RCTs being
more randomized pilot trials that lacked blinding. Another
meta-analysis (Van Loon et al., 2013) looked at the effective-
ness of culturally adapted depression and anxiety treatments for
ethnic minorities in Western countries and found a significant
pooled effect size of 1.06, 95% CI [0.51, 1.62], p < .001. They
contributed the effectiveness to the adaptations on cultural val-
ues and beliefs related to the healing process. Of the nine
studies used for Van Loon et al.’s review, only three focused
Nelson et al. 369
specifically on the Latino population showing the knowledge
gap of the effectiveness specifically for Latinos.
As evidenced by the above literature, no meta-analyses have
focused on culturally adapted interventions using RCTs to treat
anxiety or depression among Latinos. While culturally adapted
intervention research for Latinos tends to grow, research is
needed to determine whether and how culturally adapted inter-
ventions are working and which conditions among Latinos
yield the most effectiveness. In addition, conclusions taken
from previous studies that lacked the rigor of RCTs may be
producing biased results. Therefore, this study will add to the
growing knowledge base in an important way.
Method
Following the Cochrane Collaboration Guidelines (Higgins &
Green, 2011), this study used various search strategies to obtain
relevant literature published between 1900 and February 2019.
The strategies included searching nine electronic databases,
grey literature, and reference lists in related systematic reviews.
The nine electronic databases were CINAHL Plus with Full
Text, Family & Society Studies Worldwide, Gender Studies
Database, Social Sciences Full Text (H.W. Wilson), Education
Resources Information Center, Academic Search Complete,
Health Source: Nursing/Academic Edition, Psychology and
Behavioral Sciences Collection under EBSCOhost, and Sco-
pus. These databases were included as they covered a wide
range of journals related to mental health and the topic of
interest to this review. The initial eight databases were searched
using the search terms to identify culturally adapted
(“culturally adapted” or “culturally competent” or “culturally
sensitive”) AND Latino population (latin*) AND therapy
(therap*) AND depression (depress*). Choosing only peer-
reviewed articles with these terms yielded only 35 results. The
search was then expanded by using the search terms to identify
culturally adapted (cultur*) AND Latino population (latin*)
AND therapy (therap*) AND (depress*) OR anxiety (anx*),
which yielded 170 results. The same broader terms were then
used in Scopus, which added 126 results. After input from the
reviewer, we did post hoc analyses using the term Hispanic and
resulted in an additional four studies.
Inclusion and Exclusion Criteria
To be eligible for inclusion, a study needed to be (1) an RCT
that took place in the United States and (2) examining the
effects of psychotherapeutic intervention on depression and/
or anxiety of Latinos. Study participants could be of any age
as long as they were Latino. Psychotherapeutic interventions
are broadly defined in this review to include therapeutic tech-
niques or strategies used by therapists and psychosocial inter-
ventions implemented by community health practitioners with
the intent to improve mental health symptoms. Community
health practitioners are persons with knowledge about the com-
munity they work in and are providing support, services, or
psychosocial interventions with the desire to create positive
change in the community. Community health workers such
as promotoras referring to community health workers in
Spanish-speaking communities are also included in this cate-
gory (Office of Minority Health & Health Equity, 2019). Lati-
nos were operationalized as a person of any age belonging or
relating to a culture from Latin America or other countries that
speak Spanish/and or English and define themselves as Latinx.
Culturally adapted was defined as any item of the intervention
modified to be sensitive to the culture of individuals who are
receiving the treatment that takes into account their values,
language, rituals, social networks, background, and “lived
experience of the participants” (Marsiglia & Booth, 2015).
Culturally adapted interventions for Latinos may include but
are not limited to including the following features: program
delivered in Spanish, use of Latino community health workers
“promotora,” and addressing mental health beliefs and norms
specific to Latino community. A study was included if it used
measure(s) of depression and/or anxiety as either primary or
secondary outcomes. For example, a study that examined the
effect of a culturally sensitive cognitive behavioral group inter-
vention for Latino Alzheimer’s caregivers and measured neu-
ropsychiatric symptoms as well as depression would be
included. Studies were only accepted if published in English.
A study would be excluded if (1) Latinos were not a part of the
intervention, (2) did not have a randomly assigned control/
comparison group, (3) did not contain measure(s) of depression
and/or anxiety, (4) did not report necessary statistical informa-
tion for effect size calculations, (5) did not include a cultural
adaptation to the intervention, and (6) was conducted in another
country.
Screening and Data Extraction
Two doctoral-level students and one postdoctoral fellow parti-
cipated in eligibility screening, and the two doctoral students
completed the data extraction procedures. Using Covidence
online software (https://www.covidence.org/home), title and
abstract of each study was screened by each doctoral student
independently and blinded to each other’s decisions. The third
independent screener (postdoc fellow) resolved the conflicts.
During full-text screening, the two doctoral students indepen-
dently reviewed the full texts and discussed any differences.
The independent reviewer was consulted on the articles that the
students could not find a consensus. A manual review was
conducted of the reference lists of systematic reviews related
to interventions for Latinos for depression or anxiety to identify
any missed studies from the search for inclusion. A coding
sheet for data extraction was developed and then used to guide
coding of all included studies.
Coding domains (available upon reasonable request from
the first author) consisted of participant and provider charac-
teristics, intervention characteristics, research design, and
effect size data. Participant characteristics included age, gen-
der, marital status, socioeconomic status, and Latino subgroup.
Provider characteristics included profession, educational back-
ground, clinical experience, and whether they received
370 Research on Social Work Practice 30(4)
supervision and training. Intervention characteristics included
an intervention’s type (e.g., therapeutic vs. supportive), dosage
(minutes per session, number of sessions, and duration in
weeks), format (e.g., individual, group), delivery methods
(e.g., in-person, technology-assisted), and delivery setting
(e.g., home, community-based mental health service).
Research design included the nature of the control group, diag-
nostic tools, and outcome measure(s). Since all studies
included were RCTs, the nature of the comparison group was
coded as treatment as usual or waitlist control.
Interscreener and Interrater Agreement
Satisfactory interscreener reliability was observed with 79% for title/abstract and 85% for full-text screening. Interrater
reliability was calculated using a percent agreement model
by dividing the number of agreements over all possible extrac-
table data points. The two researchers reached a satisfactory
interrater agreement of 87% for data extraction. All disagree-
ments were resolved by discussion and consensus.
Data Analysis
Data extraction was conducted in Microsoft Excel and ana-
lyzed using R software (version 1.1.463) in four stages: (1)
conducting descriptive statistics of participants, providers,
intervention characteristics, and research design; (2) calculat-
ing small sample–corrected effect size estimates; (3) synthesiz-
ing effect size estimates across studies; and (4) moderator
analysis using meta-regression.
Effect Size Calculation
All of the depression and anxiety outcomes reported in the
studies for this analysis were continuous outcomes. There-
fore, their effect size estimates were calculated using Hedges’
g effect size (Cooper et al., 2009). Hedges’ g represents stan-
dardized mean differences when different measures were used
across studies. The g value was further adjusted using
Hedges’ small sample size correction (Hedges, 1981) to
obtain an unbiased estimate. This estimate is noted as “d” in
this review.
Effect Size Synthesis and Moderator Analysis
An overall treatment effect size estimate and moderator anal-
yses were conducted using robust variance estimation (RVE) in
meta-regression, a method that has been supported by both
methodological and previous empirical studies (Hedges et al.,
2010; Tanner-Smith & Tipton, 2014; Zhang et al., 2019). Sev-
eral studies included in this review reported multiple effect
sizes, which introduced statistical dependence into the resulting
effect sizes. Comparing with other statistical procedures that
handle within-study dependence, such as generalized least
squares estimation (Olkin & Gleser, 2009) or multilevel
meta-analysis modeling (Van den Noortgate et al., 2013), RVE
fits better because RVE makes no assumptions about effect size
sampling distributions and can estimate the covariance struc-
ture of the dependent effect sizes without statistical information
needed in other methods. Methodological studies recom-
mended an ideal sample size of five effect sizes per study and
40 studies for RVE to generate reasonably accurate results
(Hedges et al., 2010; Tipton, 2015). Because existing studies
meeting the inclusion criteria of this study is less than 40, we
used small sample size adjustment when running the meta-
regression with RVE (Tipton, 2015).
Having identified variability among effect size estimates,
we conducted moderator analyses to examine factors that influ-
ence effect size. Moderator analysis is able to indicate the
statistical differences between different subgroups. Since it
does not determine if the effect size of each subgroup is statis-
tically significant, an analysis of treatment effect among sub-
groups is conducted alongside moderator analysis to improve
the results of clinical significance.
Publication Bias and Risk of Bias
Publication bias refers to the nonrepresentativeness of articles
published among all the research done in an area. This happens
when studies with nonsignificant results are less likely to be
published, which affects the bias of effect sizes. This review
used Vevea and Woods’ (2005) weight function model to sta-
tistically assess the possibility of publication bias, and a funnel
plot of the effect size estimates graphed against their standard
errors was used to visually depict the bias. Risk of bias was
assessed in light of the evaluation criteria specified in the
Cochrane Handbook for Systematic Reviews of Intervention
(Higgins & Green, 2011).
Results
Search Results
The Preferred Reporting Items for Systematic Reviews and
Meta-Analyses (PRISMA) diagram in Figure 1 shows the
results of a detailed literature search and the results from the
selection process. A total of 331 references were uploaded to
Covidence for screening, 98 duplicates were removed leaving
233 for title and abstract screening. Of the 233 articles, only 26
articles met inclusion criteria for full-text screening. Full-text
review further excluded 16 due to research design leaving 10
studies for data extraction. A manual review was conducted of
the reference lists of systematic reviews related to interventions
for Latinos for depression or anxiety, and 8 more studies were
identified for potential inclusion but then 3 were excluded due
to research design leaving 15 studies for data extraction. The
five studies that had been found had been missed in the original
search due to not including search terms of Hispanic and sub-
groups such as Mexican. During data extraction, one study was
further excluded due to missing a control group and another as
the intervention measured was not psychotherapeutic, resulting
in final 13 studies selected in the meta-analysis.
Nelson et al. 371
Study Characteristics
Table 1 presents study characteristics of all 13 studies, with a
total sample size of N ¼ 1,532 participants included in this
review. Nine studies (64%) examined depression as the pri-
mary outcome and one study examined anxiety as the primary
outcome. The remaining three studies examined both anxiety
and depression outcomes. Participants were an average of 41
years old. Three studies did not provide relationship status,
but of the 10 that reported about half were partnered (47%),
and 83.7% were female. All 13 studies used randomized con-
trol design. Most of the studies (85%) used therapeutic inter-
ventions, therapeutic and supportive (38.4%), two studies
(22.2%) used supportive only, and one study used mixed
interventions. Four studies (30.7%) used active treatment con-
trol groups, only one used waitlist as a control group, and
eight studies (61.5%) used treatment as usual. A large variety
of Latino subgroups were identified including Mexican
American, Puerto Rican, Dominican Republic, Columbian,
Guatemalan, Central and South American, and two identify-
ing the population as only Latino and not breaking them into
subgroups. Not all studies commented on socioeconomic sta-
tus, but six articles reported income ranging from US$10,000
to US$50,000 average annual income of participants; two
articles denoted employment status only with no income
denoted.
Seven studies (54%) used individual intervention, four
(44.4%) used a group intervention, and two used both
individual and family interventions. Most studies (85%) used
in-person interventions, one study used technology-assisted
interventions, and one study used a telephonic method. Five
interventions (n ¼ 5, 38.4%) were delivered at community-
based mental health centers, and two were at outpatient
clinics (15.3%).
Thirteen studies reported an average of 12 sessions for the
intervention, ranging from 5 to 24 sessions. Ten studies
reported an average of 65 min per session, ranging from 15
to 120 min. Of the three remaining studies, in one, participants
got to choose how many minutes they engaged with the inter-
vention and results were not provided; the remaining two stud-
ies’ information on minutes was not included. All studies
together reported an average of 11.6 weeks of intervention
duration, ranging from 4 to 24 weeks across different
interventions.
Interventions were implemented by mental health profes-
sionals in 69.2% of the studies and three (23%) used parapro-
fessionals only with one using paraprofessional and medical
personal and one of the studies that used mental health profes-
sionals also used medical personnel. Seven of the studies had
providers with master’s degrees or higher implementing the
intervention (54%). Providers were given training before and
Records identified through
Database search (N=331)
Records after duplicates
removed (N=233)
Title and abstract screening
(N=233) 207 studies irrelevant
Full-text articles assessed
(N=26) 16 studies ineligible design
Articles for data extraction
first round (N=10)
Articles for data extraction
second round (N=15)
Articles included in final
analysis (N=13)
Records identified through
manual search (N=8) 3 studies ineligible design
1 study missing control
group
1 study non-therapeutic
intervention
Figure 1. PRISMA diagram of search flow.
372 Research on Social Work Practice 30(4)
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w eb
si te
w it h
in fo
rm at
io n
o n
h ea
lt h
to p ic
s an
d p h ys
ic al
ac ti vi
ty .
C E S-
D C
E S-
D N
R
G o n ye
a et
al .
(2 0 1 6 )
T ¼
3 3 , C ¼
3 4
8 4 .4
% M
ex ic
an ,
D o m
in ic
an ,
P u er
to R
ic an
, an
d C
o lu
m b ia
n
5 5
ye ar
s o ld
, 9 2 .7
fe m
al e,
4 0 .3
% m
ar ri
ed
W LC
B ili
n gu
al M
as te
rs So
ci al
W o rk
er u se
d cu
lt u ra
lly se
n si
ti ve
fr am
ew o rk
th at
w as
co n si
st en
t o f va
lu es
, b el
ie fs
, an
d liv
ed ex
p er
ie n ce
s in
al l p h as
es o f th
e re
se ar
ch p ro
je ct
1 2
w ee
ks , 9 0 -m
in se
ss io
n s
p er
th e
p ar
ti ci
p an
ts re
q u es
t al
l se
ss io
n s
w er
e d o n e
in Sp
an is
h . T
h e
tr ea
tm en
t gr
o u p
re ce
iv ed
C B
T in
te rv
en ti o n . T
h e
co n tr
o l gr
o u p
re ce
iv ed
p sy
ch o ed
u ca
ti o n
se rv
ic es
b y
te le
p h o n e.
Se rv
ic es
re ce
iv ed
at a
co m
m u n it y-
b as
ed m
en ta
l h ea
lt h
se tt
in g.
C E S-
D m
ea su
re d
b y
a Sp
an is
h ve
rs io
n .
ST A
I- S
m ea
su re
d b y
a Sp
an is
h ve
rs io
n
C E S-
D , ST
A I-
S T
-4 d id
n o t
co m
p le
te , C
-6 d id
n o t
co m
p le
te
(c on
tin ue
d)
373
T a b
le 1 .
(c o n ti n u ed
)
A u th
o r
Sa m
p le
La ti n X
Su b gr
o u p
D em
o gr
ap h ic
C o n tr
o l
P ro
vi d er
In te
rv en
ti o n
C h ar
ac te
ri st
ic s
In cl
u si
o n
C ri
te ri
a O
u tc
o m
e M
ea su
re s
A tt
ri ti o n
R at
es
Si m
o n i et
al .
(2 0 1 3 )
T ¼
2 0 , C ¼
2 0
M ex
ic an
A m
er ic
an 4 6
ye ar
s o ld
, 7 2 .5
% m
al e,
2 7 .5
% fe
m al
e, 6 5
si n gl
e an
d 3 5
m ar
ri ed
T A
U Fi
ve b ili
n gu
al – b ic
u lt u ra
l La
ti n o
gr ad
u at
e st
u d en
ts in
p sy
ch o lo
gy . T
w o
h ad
m as
te r’
s d eg
re es
an d
tw o
en ro
lle d
in an
M A
p ro
gr am
in cl
in ic
al p sy
ch o lo
gy th
at u se
d cu
lt u ra
lly ad
ap te
d C
B T
. T
h e
in te
rv en
ti o n
w as
d o n e
at a
co m
m u n it y
cl in
ic .
1 6
w ee
ks , 5 0 -m
in se
ss io
n s.
T h e
in d iv
id u al
C B
T tr
ea tm
en t
w as
fo r
ad h er
en ce
an d
d ep
re ss
io n
w it h
an al
ar m
ed p ill
b o x
co m
p ar
ed to
u su
al ca
re .
In te
rv en
ti o n
w as
d o n e
in E n gl
is h
an d
Sp an
is h .
B D
I, M
A D
R S
B D
I, M
A D
R S
2 0 %
lo st
to fo
llo w
- u p
Le et
al .
(2 0 1 1 )
T ¼
9 4 , C ¼
9 2
C en
tr al
A m
er ic
an an
d So
u th
A m
er ic
an
2 5
ye ar
s o ld
, 1 0 0 %
fe m
al e,
3 5 .9
% si
n gl
e, an
d 6 4 .9
% m
ar ri
ed
T A
U T
w o
p o st
b ac
h el
o r’
s b ili
n gu
al b ic
u lt u ra
l re
se ar
ch st
af f co
n d u ct
C B
T p sy
ch o ed
u ca
ti o n al
gr o u p
se ss
io n s.
A cu
lt u ra
l ad
ap ta
ti o n
w as
u ti liz
ed .
C o n d u ct
ed in
a co
m m
u n it y-
b as
ed h ea
lt h
ce n te
r an
d a
h o sp
it al
cl in
ic
8 w
ee ks
, 1 2 0 -m
in se
ss io
n s.
T h e
C B
T co
u rs
e w
as ta
u gh
t in
Sp an
is h .
C E S-
D , B
D I-
II ,
an d
M D
E C
E S-
D , B
D I-
II , an
d M
D E
3 0 %
lo st
to fo
llo w
- u p
G al
la gh
er -
T h o m
p so
n et
al .
(2 0 0 8 )
T ¼
4 7 , C ¼
4 2
H is
p an
ic /L
at in
a 5 2
ye ar
s o ld
, 1 0 0 %
fe m
al e,
7 7 .5
% si
n gl
e, an
d 1 8 %
m ar
ri ed
A T
C In
te rv
en ti o n s
w er
e co
n d u ct
ed b y
p o st
d o ct
o ra
l fe
llo w
s o r
ad va
n ce
d gr
ad u at
e st
u d en
ts in
p sy
ch o lo
gy o r
re la
te d
fie ld
s th
at u se
d b ili
n gu
al an
d b ic
u lt u ra
l fr
am ew
o rk
s. Sm
al l
gr o u p s
o cc
u rr
ed at
a co
m m
u n it y
ce n te
r.
1 6
w ee
ks , 1 2 0
m in
C B
T sm
al l gr
o u p
co m
p ar
ed to
m in
im al
te le
p h o n e-
b as
ed gr
o u p
C E SD
C E SD
1 6 %
, w
it h
n o
si gn
ifi ca
n t
d iff
er en
ce s
b y
co n d it io
n o r
b y
et h n ic
it y
B ed
o ya
et al
. (2
0 1 4 )
T ¼
6 3 , C ¼
5 5
La ti n o /H
is p an
ic 4 2
ye ar
s o ld
, 6 9 %
fe m
al e,
4 2 %
m ar
ri ed
,a n d
5 8 %
u n m
ar ri
ed
T A
U In
te rv
en ti o n s
w er
e co
n d u ct
ed b y
cl in
ic ia
n s
th at
w er
e su
p er
vi se
d w
ee kl
y.
Fi rs
t vi
si t
w as
9 0
m in
an d
se co
n d
vi si
t w
as 4 5
m in
co n d u ct
ed in
Sp an
is h
D SM
-I V
P H
Q -2
lo st
1 5 %
in 6
m o n th
s
E ll
et al
. (2
0 1 7 )
T ¼
1 7 8 , C ¼
1 7 0
La ti n o , M
ex ic
an 6 8 %
, an
d C
en tr
al A
m er
ic an
1 6 %
5 7
ye ar
s o ld
, 8 5 %
fe m
al e,
d id
n o t
co m
p le
te h ig
h sc
h o o l 7 9 %
T A
U Se
ss io
n s
b y
p ro
m o to
ra th
at w
as tr
ai n ed
an d
su p er
vi se
d
T re
ce iv
ed 6
w ee
kl y
p sy
ch o ed
u ca
ti o n al
se ss
io n s
fo llo
w ed
b y
th re
e b o o st
er se
ss io
n s
co m
p ar
ed to
u su
al cl
in ic
ca re
to ev
al u at
e d ep
re ss
io n
an d
se lf-
ca re
m an
ag em
en t
fo r
d ia
b et
es an
d h ea
rt d is
ea se
p at
ie n ts
P H
Q -9
P H
Q -9
St u d y
at tr
it io
n at
1 2
m o n th
s w
as 3 0 %
(A H
H 3 1 %
vs . U
C 2 8 %
, p ¼
.5 1 )
1 0 4
p at
ie n ts
lo st
to fo
llo w
-u p
(c on
tin ue
d)
374
T a b
le 1 .
(c o n ti n u ed
)
A u th
o r
Sa m
p le
La ti n X
Su b gr
o u p
D em
o gr
ap h ic
C o n tr
o l
P ro
vi d er
In te
rv en
ti o n
C h ar
ac te
ri st
ic s
In cl
u si
o n
C ri
te ri
a O
u tc
o m
e M
ea su
re s
A tt
ri ti o n
R at
es
B ee
b er
et al
. (2
0 1 0 )
T ¼
3 4 , C ¼
3 7
La ti n a
m o th
er s,
M ex
ic an
9 2 %
2 6
m ea
n ag
e, le
ss th
an 1 0
ye ar
s o f
ed u ca
ti o n , 8 4 %
w it h
p ar
tn er
, p re
fe rr
ed Sp
an is
h
T A
U C
u lt u ra
lly ta
ilo re
d in
te rv
en ti o n
d el
iv er
ed b y
m as
te r’
s le
ve l p sy
ch ia
tr ic
n u rs
es an
d p ro
je ct
tr ai
n ed
Sp an
is h
la n gu
ag e
in te
rp re
te rs
T re
ce iv
ed 1 1
in h o m
e p sy
ch o th
er ap
y in
te rv
en ti o n
in te
rs p er
se d
w it h
fiv e
sh o rt
b o o st
er vi
si ts
w it h
o n ly
in te
rp re
te r,
1 6
co n ta
ct s,
m o th
er s
co m
p le
te d
q u es
ti o n n ai
re s
an d
4 5 -m
in vi
d eo
ta p in
g o f
in te
ra ct
io n
w it h
ch ild
C E S-
D C
E S-
D 1 3 %
K an
te r
et al
. (2
0 1 5 )
T ¼
2 1 , C ¼
2 2
M ex
ic an
, P u er
to R
ic o , an
d o th
er
3 8
ye ar
s o ld
, 7 9 %
fe m
al e,
an d
5 3 .5
% m
ar ri
ed
T A
U E x is
ti n g
M H
p ra
ct it io
n er
s w
er e
T A
U o n e
o f th
e fo
u r
h ad
cl in
ic al
p ra
ct ic
e lic
en su
re w
h ile
o n e
w as
o b ta
in in
g lic
en su
re
1 2
w ee
ks o f se
ss io
n ,w
ee kl
y fo
r 5 0
m in
D SM
-I V
H am
ilt o n
R at
in g
Sc al
e fo
r d ep
re ss
io n
(H R
SD )
P o st
tr ea
tm en
t 3 4 .9
% ,f
o llo
w -u
p 4 1 .9
%
Fe ld
m an
et al
. (2
0 1 6 )
T ¼
1 6 , C ¼
1 6
La ti n o , P u er
to R
ic an
8 3 %
4 3
ye ar
s o ld
, 9 4 %
fe m
al e,
m ar
ri ed
2 3 %
, 2 7 %
h ig
h sc
h o o l ed
u ca
ti o n
o r
le ss
, an
d 5 0 %
in co
m e
le ss
th an
1 6 K
A T
C C
lin ic
al p sy
ch o lo
gy p o st
d o ct
o ra
l fe
llo w
an d
ad va
n ce
d gr
ad u at
e st
u d en
ts , gi
ve n
tr ai
n in
g an
d su
p er
vi si
o n
T -C
B P T
co m
p ar
ed to
m u si
c an
d re
la x at
io n
th er
ap y,
8 w
ee kl
y se
ss io
n s
D SM
-I V
cr it er
ia fo
r P D
, P D
SS >
8
P D
SS 0 %
at 3 -m
o n th
fo llo
w -u
p
N ot
e. M
ea su
re m
en t
sc al
es ¼
A D
IS -C
:A n x ie
ty D
is o rd
er s
In te
rv ie
w Sc
h ed
u le
— C
h ild
Sy m
p to
m C
o u n t;
A D
IS -C
/P ¼
A n x ie
ty D
is o rd
er s
In te
rv ie
w Sc
h ed
u le
fo r
D SM
-I V
— C
h ild
an d
P ar
en t
V er
si o n s;
A D
IS -C
SR ¼
A n x ie
ty D
is o rd
er s
In te
rv ie
w Sc
h ed
u le
— C
lin ic
ia n ’s
Se ve
ri ty
R at
in g;
A D
IS -P ¼
A n x ie
ty D
is o rd
er s
In te
rv ie
w Sc
h ed
u le
— P ar
en t
Sy m
p to
m C
o u n t
ab o u t
th e
C h ild
; B D
I ¼
B ec
k D
ep re
ss io
n In
ve n to
ry ; C
B T ¼
co gn
it iv
e b eh
av io
ra l
th er
ap y;
C D
I ¼
C h ild
re n ’s
D ep
re ss
io n
In ve
n to
ry ; C
E S-
D ¼
C en
te r
fo r
E p id
em io
lo gi
ca l St
u d ie
s D
ep re
ss io
n Sc
al e;
D SM
-V ¼
D ia
gn os
tic an
d St
at is tic
al M
an ua
l of
M en
ta lD
is or
de rs
, fif
th ed
iti on
. C
B P T ¼
co gn
it iv
e b eh
av io
r p sy
ch o p h ys
io lo
gi ca
lt h er
ap y;
(F A
C T
)- B re
as t ¼
Fu n ct
io n al
A ss
es sm
en t
o fC
an ce
r T
h er
ap y;
M A
D R
S: M
o n tg
o m
er y–
A sb
er g
D ep
re ss
io n
R at
in g
Sc al
e; M
D E ¼
M aj
o r
D ep
re ss
iv e
Sc re
en er
/m o o d
sc re
en er
;R C
M A
S ¼
R ev
is ed
C h ild
re n ’s
M an
ife st
A n x ie
ty Sc
al e;
S- B D
I ¼
Sp an
is h -L
an gu
ag e
B ec
k D
ep re
ss io
n In
ve n to
ry ;S
T A
I- S ¼
St at
e A
n x ie
ty In
ve n to
ry -S
ta te
; P D
SS ¼
P an
ic D
is o rd
er Se
ve ri
ty Sc
al e.
T ¼
tr ea
tm en
t gr
o u p
sa m
p le
si ze
;C ¼
co n tr
o l
gr o u p
sa m
p le
si ze
; N
R ¼
n o t
re p o rt
ed ; T
A U ¼
tr ea
tm en
t- as
-u su
al (a
s d ef
in ed
in th
e te
x t)
; W
LC ¼
W ai
tl is
t co
n tr
o l;
A T
C ¼
ac ti ve
tr ea
tm en
t co
n tr
o l;
LC SW ¼
Li ce
n se
d C
lin ic
al So
ci al
W o rk
er s.
375
supervision while implementing the interventions in 12 studies,
and one did not provide this information.
Publication Bias and Risk of Bias
Publication bias was assessed using funnel plot (Figure 2) by
plotting observed effect size estimates by their standard errors.
The distribution of effect size estimates was reasonably sym-
metric with many of the values falling within the funnel, which
supported the absence of publication bias. Vevea and Woods’
(2005) sensitivity analysis further supported this conclusion
with the observed effect size (solid vertical line) overlapping
with a theoretical effect size (solid vertical line on center) for
the funnel to be theoretically symmetric.
Table 2 presents the results of assessing risk of bias. Overall,
studies reported low risk of bias in random sequence generation
(13/13), allocation concealment (11/13), selective reporting (9/
13), and blinding of personnel and participants (9/13). Studies,
however, reported high risk of bias in handling incomplete
outcome data (8/13) and blinding of outcome data (5/13).
Meta-Analytic Results
The overall treatment effect was estimated using an intercept
only meta-regression analysis with RVE and small sample size
adjustment. The 13 RCTs contained 44 effect sizes. An overall
minor treatment effect that is statistically significant was iden-
tified for Latino depression or anxiety, d ¼ 0.334, 95% CI
[0.049, 0.619], p < .05. On average, participants receiving cul-
turally adjusted psychosocial services reported 0.334 standard
deviations (SDs) higher than participants in the comparison/
control group.
Moderator and Subgroup Analysis
Table 3 presents the results of the moderator and subgroup
analyses. Age, gender, comparison group type, number of
sessions, minutes per session, and duration of weeks of inter-
vention, and profession of provider did not show any signif-
icant moderated treatment effect. Marital status significantly
moderated treatment effect, b ¼ 0.002, 95% CI [�0.020,
0.025], p ¼ .025. For participants who are not married, treat-
ment effect was 0.002 SDs higher on average than those who
were married. In addition, subgroup analysis of depression
and anxiety did not result in any significant outcomes among
subgroups. Univariate meta-regression indicated that outcome
type (depression ¼ 1 and anxiety ¼ 2) did not significantly
moderate the treatment effect, b ¼ 0.955, 95% CI [�0.347,
2.258], p ¼ .101, indicating the difference in effect size
between depressive and anxiety outcomes was not statistically
significant. There were no subgroup effects with only one
moderated effect for those that were not married, b ¼ 0.002,
95% CI [�0.020, 0.025], p ¼ .025.
Discussion and Applications to Practice
The population of the United States is evolving to have a higher
concentration of Latinos, with lifetime estimates for anxiety,
Figure 2. Publication bias assessing using funnel plot and sensitivity analysis.
Table 2. Cochrane Collaboration’s Tool for Assessing Risk of Bias.
Study RSG AC BPP BOD IOD SR
Pina et al. (2012) þ þ � ? þ þ Feldman et al. (2016) þ ? þ ? � ? Hinton et al. (2011) þ � ? � þ ? Ashing and Rosales (2014) þ þ þ þ ? ? Marcus et al. (2016) þ þ � ? ? þ Gonyea et al. (2016) þ þ � ? þ þ Simoni et al. (2013) þ þ þ ? ? ? Gallagher-Thompson et al. (2008) þ þ þ þ ? þ Kanter et al. (2010) þ þ þ þ þ þ Beeber et al. (2010) þ þ þ ? þ þ Bedoya et al. (2014) þ þ þ þ þ þ Ell et al. (2017) þ þ þ ? þ þ Le et al. (2011) þ þ þ þ þ þ Total number of “þ”s 13 11 9 5 8 9
Note. RSG ¼ random sequence generation; AC ¼ allocation concealment; BPP ¼ blinding of participants and personnel; BOD ¼ blinding of outcome data; IOD ¼ incomplete outcome data; SR ¼ selective reporting. “þ” ¼ low risk of bias; “�” ¼ high risk of bias; and “?” ¼ unclear risk of bias.
376 Research on Social Work Practice 30(4)
depression, and substance use disorders among Latinos in the
United States at a prevalence of 28.1% for men and 30.2% for
women (Alegria et al., 2008). The National Association for
Mental Health documents common factors that impede Latinos
from seeking mental health services, including cultural nega-
tive stigma, language barriers, lack of bilingual staff to help
meet their needs, and lack of health insurance.
These high rates of depression and anxiety and barriers to
service have led researchers and practitioners to develop and
implement culturally adapted interventions to meet the diverse
needs. However, there is limited research on the efficacy of
culturally adapted interventions for Latino anxiety and depres-
sion. Thus, this study conducted a systematic review and meta-
analysis of culturally adapted psychotherapeutic interventions
for treating Latino depression and/or anxiety.
Overall, this study identified an overall minor treatment
effect that is statistically significant of culturally adapted psy-
chotherapeutic interventions for Latino depression and/or anxi-
ety. There was not a significantly higher effect on those
interventions treating anxiety over depression. Although our
results offer promising evidence of the effectiveness of cultu-
rally adapted intervention for Latino depression and anxiety,
the minor significance indicates these results should be taken as
preliminary and support the need for continued research to
support the claim. Here, we can relate to Hernandez Robles
et al.’s (2018) and Valdez et al.’s (2018) findings that appeared
to be close to our results although our significance was higher
before we offer alternative explanations below. These two
systematic reviews focusing on culturally adapted intervention
for substance use rather than for anxiety and depression among
Latinos showed small or no effects. Hernandez Robles et al.’s
study found an effect size, d ¼ 0.06 (p ¼ .01), very small and
not clinically important but did increase at a follow-up time
point. They suggest that there may be secondary positive out-
comes to culturally adapted interventions and that more
research is needed to determine what makes these adaptations
effective and with which subgroups of Latino populations.
Similar to these nonclinically significant findings, the other
systematic review (Valdez et al., 2018) analyzed the effective-
ness of gender and cultural adaptations for alcohol and sub-
stance abuse interventions for Latino males and reported
nonsignificant results. The studies reviewed by Valdez et al.
had some mixed results showing positive results for secondary
outcomes and some suggesting the culturally adapted interven-
tions may outperform other treatments but were unable to
determine if these results were related to the intervention, out-
comes, or issues with methodology.
The result of a larger effect size across the studies for cul-
turally adapted interventions for those that were not married
may be explained by those that are married may be more likely
to seek help from their family first or informal means before
seeking treatment outside the family. Previous research sug-
gests that Latinos that have family support are more likely to
seek informal or religious means for mental health care (Villa-
toro et al., 2014). Therefore, when they seek help, their cases
may be more severe, and therefore, the effectiveness of the
Table 3. Overall Treatment Effect and Single-Predictor Meta-Regression Analysis.a,b
Characteristics/Moderators Estimate t (df) K/N 95% CI p
Overall treatment effect 0.334 2.57 (11.5) 13/43 [0.049, 0.619] <.05 Outcome type (ref: depression, b0) �0.657 �1.87 (6.29) 13/43 [�1.507, 0.192] .108 Anxiety (b1) 0.955 2.37 (2.91) 13/43 [�0.347, 2.258] .101 Age (b0) 1.720 2.22 (1.6) 13/43 [�2.544, 5.983] .187
(b1) �0.033 �1.90 (2.9) 13/43 [�0.088, 0.023] .156 % Female (b0) 2.773 1.91 (1.76) 13/43 [�4.365, 9.911] .213
(b1) �0.0312 �1.72 (2.61) 13/43 [�0.081, 0.027] .197 % Married (b0) 0.067 0.180 (4.40) 9/26 [�0.925, 1.058] .865
(b1) 0.002 0.311 (3.27) 9/26 [�0.020, 0.025] .025 Control group (ref: active control, b0) 2.033 2.11 (4.28) 13/43 [�0.579, 4.645] .098 Nonactive controlc (b1) �0.944 �1.93 (6.84) 13/43 [�2.108, 0.219] .096 Minutes per session (b0) 0.966 1.47 (3.76) 9/35 [�0.907, 2.840] .220
(b1) �0.006 �1.05 (2.72) 9/35 [�0.024, 0.013] .378 Number of sessions (b0) �0.2424 �0.329 (2.80) 9/32 [�2.683, �0.182] .765
(b1) 0.0784 0.892 (3.44) 9/32 [�0.182, 0.339] .431 Duration (b0) 0.392 0.746 (5.55) 13/43 [�0.920, 1.705] .508
(b1) 0.018 0.441 (5.55) 13/43 [�0.082, 0.117] .911 Intervention provider (ref: mental health, b0) 0.950 1.66 (6.05) 13/43 [�0.446, 2.347] .147
Nonmental health providers (b1) �0.198 �1.28 (4.20) 13/43 [�0.621, 0.225] .268
Note. K ¼ number of studies; N ¼ number of effect sizes; df ¼ degrees of freedom; CI ¼ confidence interval. b0 should be interpreted as the intercept in a regression model, that is the value of the reference group or when the moderator value equals to zero, and b1 should be interpreted as the regression coefficient that is for each unit increases in the moderator or when the moderator equals to one, what is the associated increase in the dependent variable—effect size aIf df < 4, a lower p value (p < .01) should be used for statistical inference. bAlthough presented in the same table, predictors were entered one-by-one individually to the model. cNonactive control included (treatment-as-usual and supportive intervention). *p < .05. **p < .01. ***p < .001.
Nelson et al. 377
culturally adapted intervention may not be as detected. More
research would be needed to confirm this explanation or look
into other differences and potential varying needs between
these different groups.
This conclusion cautions firm interpretations from these
results for several reasons. First, given the limited number of
studies included, we may lack sufficient power to identify an
overall greater significant effect size. The results of this study
mirrored those from the only other meta-analysis identified that
looked at culturally adapted interventions for Latinos (Escobar
& Gorey, 2018) that found culturally adapted CBIs were more
effective than CBIs without adaptation. The other study was
able to show a higher significant effect because the study had a
larger sample size and included non-RCTs. In light of these
differences, more studies with a rigorous RCT design are war-
ranted before reaching a definitive conclusion. Although it was
necessary to have two outcome measures (i.e., measures of
anxiety, depression) and a variety of different subgroups of the
Latino population included due to the limited number of studies
involving these populations, interpretations of our findings
need to be cautious about the confounds due to such broad
inclusion criteria.
Second, this study did not have sufficient information of the
specific cultural adaptations of each study to be able to deter-
mine if certain kinds of cultural adaptations could have led to a
higher significance in effect. More research is needed to deter-
mine culturally adapted components of interventions that may
have an effect. Additional studies are needed to build upon
these results and control for different variances in cultural
adaptation. It may be that only a minor effect was found for
cultural adaptations that are not grounded in the population, but
more research would be needed to clarify this point. Cabassa
and Baumann (2013) have suggested the need to combine cul-
tural adaption models with implementation science in order to
better understand not only how the adaptations may be affect-
ing the microlevel of the client and practitioner but also to draw
from the ecological perspective of implementation research to
understand the context surrounding the intervention and how
the context and adaptation interplay with one another. Future
research could help expand these concepts by looking at not
only the aspects of the interventions on a microlevel that are
having an impact but also how the changes are interplaying
with the organizational cultural and context surrounding the
implementation of the cultural adaptation.
It is also necessary to conduct studies measuring the differ-
ence between effects in different Latino subgroups, as they
have different levels of mental health concerns, cultures, and
background that could affect the effect of interventions. For
example, Wassertheil-Smoller and colleagues (2014) found
that overall, the prevalence of depression was 27% for the
Hispanic population, ranging from 22.3% for Mexican back-
ground to 38% for Puerto Ricans. These statistics highlight the
risk of placing such a heterogenous population into one
research category. Further interpretation caution is needed as
this study only measured interventions that utilized depression
and/or anxiety as an outcome. However, culturally adapted
interventions for Latinos have been used to treat various other
outcomes, and more studies are needed to see whether the
intervention effect varies depending on the outcome measure.
Additionally, mental health service providers reported signifi-
cant challenges in providing evidence-based interventions that
incorporate effective cultural adaptation to reach optimal treat-
ment outcome (Antoniades et al., 2014). The challenges the
practitioners face on the ground level may affect the fidelity
of implementing the intervention, which in turn affects the
effect. As researchers and practitioners continue to determine
the best ways to serve the needs of Latinos, our findings shed
important light on the importance of determining how to make
culturally adapted interventions more effective for the Latino
population.
This systematic review and meta-analysis revealed some lim-
itations. To begin, it is important to note that there is a chance
this review did not cover all of the studies. While the studies
gathered by the Cochrane Library offered the basis for this meta-
analysis, there is likely to be studies missing from both the
Cochrane Library and the nine electronic databases. In turn,
missing studies may affect the power of identifying a significant
effect. In addition, data screening and extraction of data were run
by two separate screeners/coders, which functioned indepen-
dently of each other. Due to this factor, it is vital to note that
human error will occur. Although it was necessary to have two
outcome measures (i.e., measures of anxiety, depression) and a
variety of different subgroups of the Latino population included
due to the limited number of studies involving these populations,
such broad inclusion criteria may introduce confounds in terms
of maturity, instrumentation, and differential levels of accultura-
tion may result in confounding variables. Last, this study was
limited by its small sample size. Thus, the minor significance
may simply be due to low statistical power.
This study represents the only meta-analysis to our knowl-
edge that examined the effectiveness of culturally adapted
interventions (not limited to a certain modality) for Latino
depression or anxiety. Despite the limitations, this research has
concluded that current research can support that culturally
adapted psychotherapeutic intervention has a minor significant
effect on depression or anxiety. More evidence is needed
regarding the effect of culturally adapted psychotherapeutic
interventions for Latino anxiety or depression, particularly
related to what are the effective or ineffective aspects of these
treatments, but social workers and those working with Latinos
can use these results to have some confidence that cultural
adaptions while working with diverse populations is having
some effect. As the Latino population continues to rise, it is
imperative that social workers, counselors, and other helping
professionals determine the most effective and approachable
interventions to serve this population, so that they are open to
receive services and feel comfortable to return to healing
environments.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to
the research, authorship, and/or publication of this article.
378 Research on Social Work Practice 30(4)
Funding
The authors received no financial support for the research, authorship,
and/or publication of this article.
ORCID iD
Abbie Nelson https://orcid.org/0000-0001-9963-1248
Anao Zhang https://orcid.org/0000-0002-3199-1113
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