Highlights and note making on PDF
Review Article The Clinical Effectiveness of Cognitive Behavioral Therapy for Patients with Insomnia and Depression: A Systematic Review and Meta-Analysis
Guiyu Feng,1 Mei Han ,2 Xun Li,2 Le Geng,1 and Yingchun Miao 1
1Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijng 100700, China 2School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
Correspondence should be addressed to Yingchun Miao; [email protected]
Received 7 October 2019; Revised 27 February 2020; Accepted 19 June 2020; Published 15 July 2020
Academic Editor: Loren Toussaint
Copyright © 2020 Guiyu Feng et al. ,is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background. Insomnia and depression often co-occurr. However, there is lack of effective treatment for such comorbidity. CBT-I has been recommended as the first-line treatment for insomnia; whether it is also effective for comorbidity of insomnia and depression is still unknown. ,erefore, we conducted this meta-analysis of randomized controlled trials to assess the clinical effectiveness and safety of CBT-I for insomnia comorbid with depression. Data Sources. Seven electronic databases, including China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science Technology Journal Database, SinoMed Database, PubMed, the Cochrane Library, and EMBASE, as well as grey literature, were searched from the beginning of each database to July 1, 2019. Study Eligibility Criteria. Randomized controlled trials that compared CBT-I to no treatment or hypnotics (zopiclone, estazolam, and benzodiazepine agonist) for insomnia comorbid with depression and reported both insomnia scales and depression scales. Study Assessment and Synthesis Methods. Cochrane Reviewer’s Handbook was used for evaluating the risk of bias of included studies. Review Manager 5.3 software was used for meta-analysis. Online GRADEpro was used to assess the quality of evidence. Results. ,e pooled data showed that CBT-I was superior to no treatment for insomnia, while it was unsure whether CBT-I was better than no treatment for depression. And the effectiveness of CBT-I was comparable to hypnotics for both insomnia and depression. CBT-I was likely to be safe due to its noninvasive nature. ,e methodological quality varied across these trials. ,e evidence quality varied from moderate to very low, and the recommendation level was low. Conclusions. Currently, findings support that CBT-I seems to be effective and safe for insomnia comorbid with depression to improve the insomnia condition, while it is unsure whether CBT-I could improve depression condition. More rigorous trials are needed to confirm our findings.
1. Introduction
Insomnia is a kind of sleep disorder, and people with in- somnia are unsatisfied with their sleep time and sleep quality. Insomnia patients have difficulty initiating, main- taining sleep or returning to sleep [1]. Several studies have shown that 6% to 10% of adults suffered from insomnia [2–4], and 10–15% of insomnia patients tended to develop into chronic course [5]. Insomnia increases the risk of many health problems including suicidal ideation and behavior [6], cardiovascular diseases [7], depressive disorder, arterial hypertension, myocardial infarction [8], chronic heart
failure [7, 9], type 2 diabetes [10], and cognitive impairment [11], which would place a heavy burden on society and individuals. Treatments for insomnia included cognitive behavioral therapy, pharmacologic therapy, and comple- mentary and alternative therapy. Pharmacologic therapy for insomnia includes benzodiazepines (triazolam, estazolam, temazepam, flurazepam, and quazepam), non- benzodiazepine hypnotics (zaleplon, zolpidem, and eszo- piclone). Complementary and alternative therapy for insomnia includes acupuncture and Chinese herbal medi- cine. Moderate-quality evidence showed that CBT-I im- proved sleep outcomes in the general population, including
Hindawi Evidence-Based Complementary and Alternative Medicine Volume 2020, Article ID 8071821, 14 pages https://doi.org/10.1155/2020/8071821
reduced sleep onset latency and wake after sleep onset, and improved sleep efficiency and sleep quality. And any harm associated with CBT-I is likely to be mild, so CBT-I was recommended as the first-line treatment by the ACP Clinical Guidelines Committee [12, 13].
In fact, comorbid insomnia is commonly seen in clinical practice. And insomnia always combines with depression. Symptoms of depression include depressive mood, de- creased interest, lack of motivation, and fatigue [14]. In- somnia and depression are often influenced by each other, and this mutual influence may increase the risk of suicide. A recent study suggests that sleep problems are associated with severe depression, suicidality, and worse outcomes for treatment of depression [15]. And another study shows that early changes in insomnia characteristics may predict long- term depression outcomes [16]. No therapy has been proven to be effective and safe for this comorbidity at present. Sequential approach and concomitant treatment for such comorbidity are both in their preliminary stages; well- designed randomized controlled trials with long-term fol- low-up are needed to evaluate the effectiveness and safety of these treatments.
Cognitive behavioral therapy is commonly used in clinical practice, which includes cognitive behavioral therapy for insomnia, cognitive behavioral therapy for depression [17], cognitive behavioral therapy for psychosis [18], brief behavioral treatment for insomnia [19], and cognitive behavioral therapy for Parkinson [20]. Among these therapies, cognitive behavioral therapy for insomnia (CBT-I), developed by A.T. Beck in the 1960s, is a branch of CBT and is recommended as first-line treatment for in- somnia by the ACP Clinical Guidelines Committee in 2016. ,e components of CBT-I include cognitive therapy to replace wrong beliefs of sleep; stimulate control to prevent patients from associating with other stimulating activities; sleep restriction to limit time in bed to match perceived sleep duration; sleep hygiene to change habits and physi- ologic factors and improve sleep; and relaxation to focus on relaxation techniques, such as guided imagery and pro- gressive muscle relaxation (Table 1) [21].Various delivery methods of CBT-I are available, including in-person in- dividual or group therapy, telephone- or Web-based modules, and self-help books. ,e course of CBT-I varied from 4 sessions to 12 sessions.
We conducted this meta-analysis of randomized con- trolled trials to assess the clinical effectiveness and safety of CBT-I for insomnia comorbid with depression, compared with no treatment or hypnotics and measured by insomnia outcome measurements, depression outcome measure- ments, and safety index.
2. Methods
2.1. Protocol and Registration. We made this systematic re- view and meta-analysis according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We registered this review in PROSPERO (CRD42019145065), http://www.crd.york.ac.uk/PROSPERO/.
2.2. Inclusion and Exclusion Criteria
2.2.1. Inclusion Criteria
(1) Participants (aged ≥18 years, regardless of gender and education) met the diagnostic criteria for in- somnia and depression, which referred to DSM-5 and CCMD-3.
(2) Intervention of the experimental group was only CBT-I.
(3) Comparison (control group) included no treatment and hypnotic drugs (zopiclone, estazolam, and benzodiazepine agonist). No treatment referred to no treatment for insomnia and depression during observation period. Waitlist control had no treat- ment for insomnia and depression during observa- tion period, so we also took waitlist control as no treatment. We did not take sleep hygiene education alone as the control for CBT-I contained sleep hy- giene education.
(4) Outcome measurements included insomnia scale, depression scale, and adverse events. Insomnia scales included ISI and PSQI. Depression scale included HAMD, HADS-D, BDI, and SDS (primary out- comes) and SCL-90, CES-D, and QIDS-CR16 (sec- ondary outcomes). Adverse events included all adverse events of CBT-I and hypnotics mentioned by these RCTs included in our review.
(5) Study included randomized controlled trials (RCTs) which focused on Chinese language and English language.
2.2.2. Exclusion Criteria
(1) Patients could not be diagnosed with insomnia and depression
(2) Intervention was not only CBT-I, such as CBT-I plus other therapies
(3) Control group was neither no treatment nor hypnotics
(4) Outcomes reported incompletely, such as only re- ported insomnia scales or only reported depression scales
(5) Trials did not mention RCT or the word “random” (6) Duplication of the study (7) Study was mechanism, case report, review, or meta-
analysis (8) Study language was neither Chinese nor English
2.3. Literature Search and Data Extraction. Guiyu Feng and Le Geng independently searched PubMed, the Cochrane Library, EMBASE, SinoMed Database, China National Knowledge Infrastructure (CNKI), Wanfang Database, and China Science Technology Journal Database from the be- ginning of each database to July 1, 2019 (CNKI: 1915–2019, Wanfang: 1900–2019, VIP:1989–2019, SinoMed:1860–2019,
2 Evidence-Based Complementary and Alternative Medicine
PubMed: 1966–2019, EMBASE: 1947–2019, and Cochrane: 1966–2019). ,e details of search strategy of PubMed were shown in Appendix. Grey literature was also searched to identify potential studies which met the inclusion and ex- clusion criteria. ,ey focused on languages of English and Chinese. ,ey also searched relevant RCTs from existing systematic review and meta-analysis in the reference list. ,ey downloaded search results for evaluation. ,ey also contacted authors whose RCTs lacked any relevant in- formation. And they also independently screened the lit- eratures and found out suitable RCTs at the same time, according to inclusion and exclusion criteria. After literature selection, they separately extracted data from these suitable RCTs at the same time. Extracted data included author’s name, year of publication, sample size, age, intervention, underlying disease, control group, duration of treatment, time point of assessment, and outcomes. If any disagreement happened, they would resolve it in consultation with more experienced author Yingchun Miao. Yingchun Miao con- ducted the search, Mei Han evaluated the abstract, and Xun Li evaluated the rest of the paper.
2.4.OutcomeMeasurements. ,e outcome measurements of this systematic review and meta-analysis included insomnia outcome measurements, depression outcome measure- ments, and adverse events. More details of outcome mea- surements are shown in Table 2.
2.5. Risk of Bias. Guiyu Feng and Le Geng independently evaluated the risk of bias through the Cochrane Handbook for Systematic Reviews of Interventions [22] to evaluate the methodological quality of these included literatures and they performed it via Review Manager 5.3 at the same time. For all evaluation items, the quality of each trial was evaluated using “Yes” (low risk of bias), “No” (high risk of bias), or “Unclear” (unclear risk of bias). Evaluation items included random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other biases. If any disagreement happened, they would
resolve it in consultation with more experienced author Yingchun Miao.
2.6. Data Synthesis. We used Cochrane collaboration soft- ware RevMan (5.3) to pool outcome data. We calculated the risk ratio (RR) with 95% confidence interval (95% CI) for dichotomous variables and mean difference (MD) with 95% CI for continuous outcomes. Outcomes of insomnia and depression were all continuous variables, and we used mean difference (MD) and its 95% confidence interval (CI) to represent them. Heterogeneity was evaluated by the mag- nitude of Tau2 and I2 statistic. A fixed effect model was performed with minor heterogeneity when the I2 value was below 50%. A random effect model was used with major heterogeneity when the I2 value was above 50%. For patient population with underlying diseases, these underlying dis- eases were different, such as posttraumatic stress disorder (PTSD), ischemic stroke, hypertension, and nonmetastatic cancer. Heterogeneity was major; so, we also performed the random effect model. We would do subgroup analysis and sensitive analysis if the characteristics of data were allowed. If the number of suitable RCTs was more than 10, we would make an inverted funnel plot to assess the impact of pub- lication bias.
2.7. Evaluating the Quality of Evidence. Guiyu Feng and Le Geng independently used the online GRADEpro to assess the quality of evidence (https://gdt.gradepro.org/app/#) at the same time.
3. Results
3.1. Literature Screening and Its Flow Diagram. We searched 2,101 RCTs according to the search strategy. After duplicated RCTs were deleted, there were 1,641 RCTs left. When we screened the titles and abstracts, 1,387 RCTs which did not meet search criteria were deleted. We then screened the full texts of the remaining 254 RCTs and found 237 RCTs which did not meet search criteria. In the end, 17 RCTs were in- cluded in this review. More details of literature screening are shown in Figure 1.
Table 1: Components of CBT-I.
Component Description Cognitive therapy
Cognitive therapy aims to identify and replace dysfunctional beliefs and attitudes about sleep. ,ese dysfunctional beliefs include unrealistic expectations of sleep, such as overestimating the consequences of poor sleep.
Stimulus control Stimulus control aims at avoiding patients to associate bed with other stimulating activities such as avoiding nonsleep activities in the bedroom; going to bed only when sleepy; and leaving the bedroom when unable to sleep for15−20 min,
returning to bed only when sleepy
Sleep restriction Sleep restriction aims to limit time in bed to match perceived sleep duration in order to increase sleep drive and reduce time awake in bed. Time allowed in bed is initially restricted to the average time perceived as sleep per night and then
adjusted to ensure that sleep efficiency remains >85%.
Sleep hygiene Sleep hygiene relates to environmental factors, physiologic factors, and habits that improve sleep, such as regular sleep scheduling, avoiding long daytime naps, and limiting alcohol, caffeine, and nicotine intake especially before bed.
Relaxation Any relaxation technique that the patient finds effective can be used to limit cognitive arousal and reduce muscular tension to improve sleep. Specific relaxation techniques include meditation, mindfulness, progressive muscle relaxation,
guided imagery, and breathing techniques.
Evidence-Based Complementary and Alternative Medicine 3
3.2. Characteristics of Included Literature Studies. We finally included 17 RCTs and 1,756 participants (894 participants in the intervention group and 862 participants in the control group). 13 RCTs [23–35] compared CBT-I with no treat- ment. Four RCTs [36–39] compared CBT-I with hypnotics (zopiclone and estazolam). One RCT [32] reported two types of CBT-I, and the remaining 16 RCTs [23–31, 33–39] all reported one type of CBT-I arms. ,e mean frequency of CBT-I was about once a week. Two RCTs [36, 37] used zopiclone 3.75~11.25 mg QN, 1 RCT [38] used estazolam 1 mg QN, and 1 RCT [39] did not mention the dosage of benzodiazepine agonist. ,e mean duration of treatment was about 8 weeks. ,e mean assessment time point was about week 8. ,e underlying diseases differed in this review, including nonmetastatic cancer, ischemic stroke, maintain hemodialysis (MHD), hypertension, poststroke fatigue, hearing impairment, and posttraumatic stress disorder (PTSD). More details are shown in Table 3.
3.3. Methodological Quality Evaluation. In order to evaluate the methodological quality of these included literature studies, we used the Cochrane Handbook for Systematic Reviews of Interventions. ,e overall methodological quality was not good.
For random sequence generation, 15 RCTs [23–35, 37, 39] used the right methods to produce the random sequence, and we assessed them as ‘low’ risk. One RCT [36] did not mention how to produce the random sequence, except the word ‘random,’ so we assessed them as ‘unclear’ risk. 1 RCT [38] used wrong method to produce the random sequence, for it used enrollment order of the fa- cilities, for example, the first enrolled facility was allocated to the CBT-I group while the second to the control group. We assessed it as ‘high’ risk.
For allocation concealment, 5 RCTs [23, 30, 31, 34, 35] mentioned the right methods of allocation concealment, and we assessed them as ‘low’ risk. 12 RCTs
Records a�er duplicates removed (n = 1641)
Titles and abstracts
Records excluded (total: n = 1387): (1) Not insomnia-depression comorbidity (n = 81) (2) Not CBT-I (n = 543) (3) Improper control type (n = 86) (4) Not RCTs (n = 664) (5) Animal experiment (n = 2) (6) Duplicate studies (n = 11)
Records excluded (total: n = 237): (1) Not insomnia-depression comorbidity (n = 0) (2) Not CBT-I (n = 40) (3) Improper control type (n = 42) (4) Incomplete outcome measurement (n = 98) (5) Not RCTs (n = 40) (6) Duplicate studies (n = 17)
Records a�er title and abstracts (n = 254)
Full-text reading
CNKI (n = 52)
VIP (n = 23)
Wanfang (n = 273)
SinoMed (n = 240)
PubMed (n = 729)
Cochrane (n = 266)
EMBASE (n = 518)
Other ways (n = 0)
For insomnia, 17 of 17 studies were included in quantitative synthesis. For depression, 13 of 17 studies were included in quantitative synthesis; 4 of 17 studies were included in qualitative analysis.
Figure 1: Study flow diagram.
Table 2: Details of outcome measurements.
Insomnia outcome measurements Depression outcome measurements Primary outcomes Secondary outcomes Primary outcomes Secondary outcomes ISI, PSQI None HAMD, HADS-D SCL-90, CES-D
BDI, SDS QIDS-CR16 Note. ISI: Insomnia Severity Index; PSQI: Pittsburgh Sleep Quality Index; HAMD: Hamilton Depression Scale; HADS-D: Anxiety and Depression Scale- Depression; BDI: Beck Depression Inventory; SDS: Self-Rating Depression Scale; SCL-90: Symptom Checklist 90; CES-D: Centre of Epidemiological Studies Depression Scale (CES-D); and QIDS-CR16: Quick Inventory of Depressive Symptomatology—Clinician Rating.
4 Evidence-Based Complementary and Alternative Medicine
T a
b le
3: C ha ra ct er is tic s of
in cl ud
ed R C Ts .
St ud
y ID
Pa rt ic ip an ts
(M /F )
A ge
(y ea rs )
In te rv en tio
n U nd
er ly in g di se as e
M ed ic in e us ed
fo r
un de rl yi ng
di se as e
C on
tr ol
D ur at io n of
tr ea tm
en t
(I /C )
Ti m e po
in t of
as se ss m en t
O ut co m es
C as au lt
et al .[ 23 ]
I: 1/ 19
C :2
/1 6
I: 56 .9 ± 10 .8
C :5
7. 0 ± 9. 4
C B T -I
(s el f-
ad m in is te re d)
w ee kl y
N on
m et as ta tic
ca nc er
N on
e N o tr ea tm
en t
6 w ee ks /6
w ee ks
W ee k 6
IS I, H A D S- D
D an ie l
et al .[ 24 ]
I: 62 /1 3
C :6
2/ 14
I: 32 .2 1 ± 7. 18
C :
32 .6 7 ± 7. 97
C B T -I ,w
ee kl y
N on
e N on
e N o tr ea tm
en t
6 w ee ks /6
w ee ks
W ee k 6
IS I, B D I
Sh an
[2 5]
I: 26 /1 8
C :2
4/ 20
I: 54 .2 2 ± 8. 39
C :
54 .2 3 ± 8. 42
C B T -I ,w
ee kl y
Is ch em
ic st ro ke
A sp ir in ;s im
va st at in
N o tr ea tm
en t
4 w ee ks /4
w ee ks
W ee k 4
PS Q I,S
D S
W an g et
al .
[2 6]
I: 18 /2 5
C :1 8/ 27
I: 57 .1 9 ± 8. 51
C :
56 .7 3 ± 8. 96
C B T -I ,w
ee kl y
V ar io us
ty pe s of
ca nc er
C he m ot he ra py
dr ug s
N o tr ea tm
en t
4 w ee ks /4
w ee ks
W ee k 4
PS Q I,S
D S
H ou
et al .
[2 7]
I: 20 /3 1
C :2
2/ 25
I: 54 .5 ± 13 .8
C :5
2. 4 ± 14 .5
C B T -I ,w
ee kl y
M ai nt ai n
he m od
ia ly si s
(M H D )
N on
e N o tr ea tm
en t
12 w ee ks /1 2
w ee ks
W ee k 12
PS Q I, SC
L- 90
Y an g et
al .
[2 8]
I: 20 /3 0
C :1 9/ 34
I: 56 .5 4 ± 9. 97
C :
56 .7 3 ± 11 .2 7
C B T -I
(r em
ot e-
in te ra ct iv e) ,m
or e
th an
on ce
a w ee k
H yp er te ns io n
A nt ih yp er te ns iv e
dr ug s
N o tr ea tm
en t
8 w ee ks /8
w ee ks
W ee k 8
IS I,P
SQ I, B D I
Sy lv ia
et al .
[2 9]
I: 6/ 3
C :5
/1
I: 47 .2 2 ± 15 .2 1
C :
51 .1 7 ± 10 .6 5
C B T -I
(i nd
iv id ua l) ,
w ee kl y
Po st st ro ke
fa tig
ue M ed ic in e (s pe ci fic
dr ug s no
t av ai la bl e)
N o tr ea tm
en t
(w ai tli st
co nt ro l)
8 w ee ks /8
w ee ks
W ee k 8
IS I,P
SQ I,H
A D S- D
M ar ku
s et
al .[ 30 ]
I: 7/ 10
C :5
/1 0
I: 57 .8 ± 6. 6
C :5
3. 6 ± 10 .4
C B T -I ,w
ee kl y
H ea ri ng
im pa ir m en t
N ot
m en tio
ne d
N o tr ea tm
en t
(w ai tli st
co nt ro l)
7 w ee ks /7
w ee ks
W ee k 8
IS I, H A D S- D
D av id
et al .
[3 1]
I: 20 /8 2
C :2
0/ 82
I: 44 .6 6 ± 11 .6 5
C :
43 .7 5 ± 11 .8 4
C B T -I
(w eb -b as ed ),
w ee kl y
N on
e N on
e N o tr ea tm
en t
(w ai tli st
co nt ro l)
6 w ee ks /6
w ee ks
W ee k 7
IS I,Q
ID S- C R 16
La nc ee
et al .[ 32 ]
I: 6/ 30
C :7
/2 0
I: 47 .4 7 ± 14 .3 7
C :
49 .9 8 ± 13 .7 1
C B T -I
(o nl in e) ,
w ee kl y
N on
e N on
e N o tr ea tm
en t
(w ai tli st
co nt ro l)
12 w ee ks /1 2
w ee ks
W ee k 12
IS I, C ES
-D ,
ad ve rs e ev en t
(1 ) La nc ee
et al .[ 33 ]
I: 4/ 26
C :5
/2 5
I: 41 .2 ± 14 .1
C :4
5. 1 ± 13 .7
C B T -I
(o nl in e) ,
w ee kl y
N on
e N on
e N o tr ea tm
en t
(w ai tli st
co nt ro l)
12 w ee ks /1 2
w ee ks
W ee k 12
IS I, C ES
-D
(2 ) La nc ee
et al .[ 33 ]
I: 8/ 22
C :5
/2 5
I: 38 .5 ± 13 .1
C :4
5. 1 ± 13 .7
C B T -I
(i nd
iv id ua l,
fa ce
to fa ce ), w ee kl y
N on
e N on
e N o tr ea tm
en t
(w ai tli st
co nt ro l)
12 w ee ks /1 2
w ee ks
W ee k 12
IS I, C ES
-D
Lo re nz
et al .[ 34 ]
I: 8/ 21
C :9
/1 8
I: 41 .7 2 ± 17 .3 1
C :
44 .0 4 ± 20 .0 5
C B T -I
(w eb -b as ed ),
w ee kl y
N on
e N on
e N o tr ea tm
en t
(w ai tli st
co nt ro l)
6 w ee ks /6
w ee ks
W ee k 6
IS I,B
D I
Evidence-Based Complementary and Alternative Medicine 5
Ta b
le 3:
C on
tin ue d.
St ud
y ID
Pa rt ic ip an ts
(M /F )
A ge
(y ea rs )
In te rv en tio
n U nd
er ly in g di se as e
M ed ic in e us ed
fo r
un de rl yi ng
di se as e
C on
tr ol
D ur at io n of
tr ea tm
en t
(I /C )
Ti m e po
in t of
as se ss m en t
O ut co m es
Ta lb ot
et al .[3
5] I: 7/ 22
C :7 /9
I: 37 .1 ± 10 .4
C :3
7. 3 ± 11 .0
C B T -I
(i nd
iv id ua l) ,
w ee kl y
Po st tr au m at ic st re ss
di so rd er
(P T SD
) M ed ic in e (s pe ci fic
dr ug s no
t av ai la bl e)
N o tr ea tm
en t
(w ai tli st
co nt ro l)
8 w ee ks /8
w ee ks
W ee k 8
IS I,B
D I
H an
an d
Li u [3 6]
I: 14 /1 7
C :1 4/ 18
I: 37 ± 14
C :3
5 ± 14
C B T -I ,w
ee kl y
N on
e N on
e Z op
ic lo ne
3. 75 ~
11 .2 5 m g Q N
8 w ee ks /8
w ee ks
W ee k 8
PS Q I,S
C L- 90
H ua ng
et al .[ 37 ]
I: 35 /9 3
C :2
8/ 85
I: 46 .7 8 ± 13 .7 5
C :
45 .4 9 ± 12 .8 3
C B T -I (g ro up
), w ee kl y
N on
e N on
e Z op
ic lo ne
3. 75 ~
7. 5 m g Q N
8 w ee ks /8
w ee ks
W ee k 8
IS I,H
A M D
Z ho
u et
al .
[3 8]
15 0/ 16 0
N on
e C B T -I ,w
ee kl y
N on
e N on
e Es ta zo la m
1 m g
Q N
6 w ee ks /6
w ee ks
W ee k 6
PS Q I,S
D S
Li n et
al .
[3 9]
I: 4/ 16
C :4
/1 7
I: 46 .5 ± 12 .5
C :4
5. 5 ± 12 .4
C B T -I
(r em
ot e-
in te ra ct iv e) ,w
ee kl y
N on
e N on
e B en zo di az ep in e
ag on
is t
8 w ee ks /8
w ee ks
W ee k 8
IS I,P
SQ I, H A M D
N ot e. M :m
al e; F:
fe m al e; I: in te rv en tio
n; C :c on
tr ol ;Q
N :o
nc e a ni gh
t; M H D :m
ai nt ai n he m od
ia ly si s di so rd er ;P
T SD
:p os tt ra um
at ic st re ss ;I SI :I ns om
ni a Se ve ri ty
In de x; PS
Q I: Pi tt sb ur gh
Sl ee p Q ua lit y In de x;
H A M D :H
am ilt on
D ep re ss io n Sc al e; H A D S- D :A
nx ie ty
an d D ep re ss io n Sc al e- D ep re ss io n;
B D I: B ec k D ep re ss io n In ve nt or y; SD
S: Se lf- R at in g D ep re ss io n Sc al e; SC
L- 90 :S ym
pt om
C he ck lis t9
0; C ES
-D :C
en tr e of
Ep id em
io lo gi ca l St ud
ie s D ep re ss io n Sc al e; an d Q ID
S- C R 16 :Q
ui ck
In ve nt or y of
D ep re ss iv e Sy m pt om
at ol og y—
C lin
ic ia n R at in g.
6 Evidence-Based Complementary and Alternative Medicine
[24–29, 32, 33, 36–39] did not mention how to make al- location concealment, so we evaluated them as ‘unclear’ risk.
For blinding of participants and personnel, due to the characteristics of CBT-I, it was hard to blind doctors and patients. So, we assessed all of them as ‘high’ risk. For blinding of outcome assessment, 4 RCTs [23, 31, 34, 35] blinded the outcome assessors, and we assessed them as ‘low’ risk. 13 RCTs [24–30, 32, 33, 36–39] did not mention blinding of outcome assessment. We did not know whether they blinded outcome assessors, so we evaluated them as ‘unclear’ risk.
For incomplete outcome data, 16 RCTs [23–25, 27–39] reported the drop-outs, lost patients, and the reasons, so we assessed them as ‘low’ risk. One RCT [26] did not mention incomplete outcome data. We did not know whether there were incomplete outcome data, so we assessed it as ‘unclear’ risk.
For selective reporting, all 17 RCTs [23–39] reported the outcomes of insomnia scales and depression scales, and we assessed all of them as ‘low’ risk.
For other biases, we focused on whether the baseline was equal between the intervention group and the control group. ,ere was no statistic difference between the intervention group and the control group in all 17 RCTs [23–39]. We assessed all of them as ‘low’ risk.
Details of methodological quality evaluation are shown in Figure 2.
3.4. Results of Meta-Analysis. Based on the presence or absence of underlying diseases, patients were divided into 2 groups including patients with underlying diseases and patients without underlying diseases.
3.4.1. Patients with Underlying Diseases
(1) Insomnia Outcome Measurements. In comparison be- tween CBT-I and no treatment, we included 5 RCTs [23, 28–30, 35] (total 229 participants) for ISI and 5 RCTs [25–29] (total 391 participants) for PSQI. ,e results of meta-analyses showed that CBT-I was more effective than no treatment (MD-4.47, 95% CI [−7.46, −1.48], I2 = 86%; MD- 2.57, 95% CI [−3.50, −1.65], I2 = 64% for ISI scores and PSQI scores, respectively). More details of the meta-analysis are shown in Figure 3.
(2) Depression Outcome Measurements. In comparison be- tween CBT-I and no treatment, we included 2 RCTs [25, 26] (total 176 participants) for SDS scores; 3 RCTs [23, 29, 30] (total 85 participants) for HADS-D scores; 1 RCT [27] (total 98 participants) for SCL-90 scores; and 2 RCTs [28, 35] (total 144 participants) for BDI scores. ,e results of meta-ana- lyses showed that CBT-I was more effective than no treat- ment (MD-3.44, 95% CI [−5.83, −1.06], I2 � 0%; MD −3.10, 95%CI [−4.71, −1.50], I2 � 19% for SDS scores and HADS-D scores, respectively). ,e result of SCL-90 scores showed that CBT-I was more effective than no treatment (MD-0.50, 95% CI [−0.76, −0.24]). However, the result of meta-analysis in BDI scores showed that there was no significant difference
between CBT-I and no treatment with MD-2.61, 95% CI [−8.36, 3.14], I2 � 81%. More details of the meta-analysis are shown in Figure 4.
3.4.2. Patients without Underlying Diseases
(1) Insomnia Outcome Measurements. In comparison between CBT-I and no treatment, we included 5 RCTs [24, 31–34] (total 455 participants) for ISI. ,e result of meta-analysis showed that CBT-I was more effective than no treatment with MD-4.88, 95% CI [−5.80, −3.95], I2 � 88%. More details of the meta-analysis are shown in Figure 5.
In comparison between CBT-I and hypnotics, we in- cluded 2 RCTs [37, 39] (total 282 participants) for ISI scores and 3 RCTs [36, 38, 39] (total 414 participants) for PSQI scores. ,e result of meta-analysis in ISI scores showed that CBT-I was superior to hypnotics with MD-2.82, 95% CI [−5.22, −0.41], I2 � 66%. However, the result of meta-anal- ysis in PSQI scores showed that there was no significant difference between CBT-I and hypnotics for insomnia with MD-0.29, 95% CI [−1.21, 0.62], I2 � 52. More details are shown in Figure 6.
(2) Depression Outcome Measurements. In comparison be- tween CBT-I and no treatment, we included 2 RCTs [24, 34] (total 118 participants) for BDI; 2 RCTs [32, 33] (total 174 participants) for CES-D, and 1 RCT [31] (total 163 par- ticipants) for QIDS-CR16. ,e result of meta-analysis showed that CBT-I was more effective than no treatment with MD-9.58, 95% CI [−13.71, −5.45], I2 � 60% in CES-D. ,e result in QIDS-CR16 illustrated that CBT-I was more effective than no treatment with MD-1.27, 95% CI [−2.25, −0.29]. However, the result of meta-analysis in BDI in- dicated that there was no significant difference between CBT-I and no treatment for depression with MD-1.19, 95% CI [−4.27, 1.89], I2 � 32%. More details of the meta-analysis are shown in Figure 7.
In comparison between CBT-I and hypnotics, we in- cluded 2 RCTs [37, 39] (total 282 participants) for HAMD scores; 1 RCT [38] (total 310 participants) for SDS scores; and 1 RCT [36] (63 participants) for SCL-90 scores. ,e result of meta-analysis in HAMD showed that there was no significant difference between CBT-I and hypnotics with MD-1.27, 95% CI [−5.36, 2.82], I2 � 89%. ,e result of SDS scores showed that CBT-I was more effective than hypnotics with MD-0.86, 95% CI [−1.61, −0.11]. ,e result of SCL-90 showed that there was no significant difference between CBT-I and hypnotics (zopiclone and estazolam) with MD- 0.25, 95% CI [−0.59, 0.09]. More details are shown in Figure 8.
3.4.3. Adverse Event. From these included studies [23–39], only 1 RCT [32], comparing CBT-I with no treatment, reported the item of adverse event, which represented that there was no adverse event which occurred in CBT-I and no treatment.
Evidence-Based Complementary and Alternative Medicine 7
3.4.4. Publication Bias. For the number of included studies in each of these outcomes was less than 10, we could not make an inverted funnel plot to assess the influence of publication bias of included studies.
3.5. Evaluating the Quality of Evidence. ,e quality of ev- idence was evaluated via GRADEpro. ,e quality of ev- idence in our review varied from moderate to very low. For patients with underlying diseases, the evidence of insomnia outcome measurements was moderate; the ev- idence of depression outcome measurements varied from low to very low. For patients without underlying diseases,
the evidence of insomnia outcome measurements varied from moderate to low; the evidence of depression out- come measurements varied from low to very low. More details are shown in Table 4.
,e recommendation level assessed by the GRADE system is based on the factors including the advantages of CBT-I, the evidence quality in our review, the preferences of patients, and the cost of CBT-I. ,e evidence quality varied from moderate to very low in our review; CBT-I is receptible for the patients due to its noninvasive char- acteristics. And the cost of CBT-I is not so frightfully expensive. So, the recommendation level of the evidence in our review is low.
1007550250
High risk of bias Unclear risk of bias Low risk of bias
Allocation concealment (selection bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Other biases
Random sequence generation (selection bias)
(%)
Figure 2: Risk of bias.
Heterogeneity: tau2 = 9.74; chi2 = 28.23, df = 4 (P < 0.0001); I2 = 86% Test for overall effect: Z = 2.93 (P = 0.003)
Heterogeneity: tau2 = 0.69; chi2 = 11.17, df = 4 (P = 0.02); I2 = 64% Test for overall effect: Z = 5.47 (P < 0.00001)
–3.90 [–6.79, –1.01]
Test for subgroup differences: chi2 = 1.41. df = 1 (P = 0.23). I2 = 29.3% –10 –5 0 5 10
Favours (experimental)
Study or subgroup Mean SD Total Mean SD Total
Experimental Control Mean difference Mean differenceWeight (%) IV, random, 95% CI IV, random, 95% CI
2.1.1 ISI Lisa S 2014 8 4 27 16.6 3.9 15 20.5 –8.60 [–11.08, –6.12] Lucie 2015 12.06 4.3 20 12.11 5.2 18 19.1 –0.05 [–3.10, 3.00] Markus 2012 10.5 4.4 17 18.1 5.3 15 18.2 –7.60 [–11.00, –4.20] Sylvia 2017 5.64 2.8 9 9.54 2.8 6 19.5 Yang XJ 2017 8.54 3.17 50 10.98 4.3 52 22.6 –2.44 [–3.90, –0.98]
Subtotal (95% CI) 123 106 100.0 –4.47 [–7.46, –1.48]
2.1.2 PSQI Hou YM 2009 12.6 2.3 51 16.4 2.2 47 24.8 –3.80 [–4.69, –2.91] Shan DD 2017 7.23 4.19 44 9.36 4.91 44 13.6 –2.13 [–4.04, –0.22] Sylvia 2017 6.03 1.4 9 8.29 1.3 6 18.7 –2.26 [–3.65, –0.87] Wang AH 2018 8.01 2.36 43 9.58 2.6 45 22.9 –1.57 [–2.61, –0.53] Yang XJ 2017 9.6 3.21 50 12.4 3.33 52 20.0 –2.80 [–4.07, –1.53]
Subtotal (95% CI) 197 194 100.0 –2.57 [–3.50, –1.65]
Favours (control)
Figure 3: Forest plot of insomnia outcomes (CBT compared to no treatment in patients with underlying diseases).
8 Evidence-Based Complementary and Alternative Medicine
4. Discussion
4.1. Summary of Results. Insomnia scale, depression scale, and adverse event were included in our review to assess the effectiveness and safety of CBT-I. Based on the presence or absence of underlying diseases, we divided patients into 2 groups including patients with underlying diseases and patients without underlying diseases. Our results showed that CBT-I was an effective therapy for insomnia, while CBT-I was not an effective therapy for depression in patients suffering from insomnia and depression. And CBT-I was as effective as hypnotics (zopiclone, estazolam, or benzodiaz- epine agonist) for insomnia, and both CBT-I and hypnotics were not effective for depression. CBT-I was likely to be
a safe therapy due to its noninvasive characteristics. ,e methodological quality was not good enough. ,e evidence quality varied from moderate to very low, and the recom- mendation level based on the evidence was low.
4.2. Comparison with the Previous Study. A number of re- views mentioned the effectiveness of CBT for insomnia or depression, respectively. For example, one review [40] assessed the effectiveness of self-help CBT-I for insomnia by comparing it with waiting list control, routine care, or no treatment, and the result showed that self-help CBT-I was significantly more effective than waiting list control, routine care, or no treatment; another review [41] assessed the
Heterogeneity: tau2 = 0.00; chi2 = 0.36, df = 1 (P = 0.55); I2 = 0% Test for overall effect: Z = 2.83 (P = 0.005)
Heterogeneity: tau2 = 14.37 ; chi2 = 5.40, df = 1 (P = 0.02); I2 = 81% Test for overall effect: Z = 0.89 (P = 0.37)
Heterogeneity: tau2 = 0.39; chi2 = 2.48, df = 2 (P = 0.29); I2 = 19 % Test for overall effect: Z = 3.78 (P = 0.0002)
Heterogeneity: not applicable Test for overall effect: Z = 3.74 (P = 0.0002)
Study or subgroup ExperimentalMean SD Total Control
Mean SD Total Weight
(%) Mean difference
IV, random, 95% CI Mean difference
IV, random, 95% CI 2.3.1 SDS
Shan DD 2017 35.91 9.65 44 40.43 44 31.5 –4.52 [–8.77, –0.27] Wang AH 2018 43.75 7.61 43 46.7 6.07 45 68.5 –2.95 [–5.83, –0.07]
Subtotal (95% CI) 87 89 100.0 –3.44 [–5.83, –1.06]
2.3.2 BDI Lisa S 2014 13.15 8.7 27 19.2 7 15 42.1 –6.05 [–10.88, –1.22] Yang XJ 2017 8.26 3.55 50 8.37 3.36 52 57.9 –0.11 [–1.45, 1.23]
Subtotal (95% CI) 77 67 100.0 –2.61 [–8.36, 3.14]
2.3.3 HADS-D Lucie 2015 4.94 4.23 20 6.33 4.5 18 27.9 –1.39 [–4 .18, 1.40] Markus 2012 4.3 2.8 17 7.5 3.9 15 36.0 –3.20 [–5.58, –0.82] Sylvia 2017 4.6 2.3 9 8.93 2.3 6 36.1 –4.33 [–6.71, –1.95]
Subtotal (95% CI) 46 39 100.0 –3.10 [–4.71, –1.50]
2.3.4 SCL-90 Hou YM 2009 2.3 0.8 51 2.8 0.5 47 100.0 –0.50 [–0.76, –0.24]
Subtotal (95% CI) 51 47 100.0 –0.50 [–0.76, –0.24]
Test for subgroup differences: chi2 = 15.80. df = 3 (P = 0.001). I2 = 81.0% –10 –5 0 5 10 Favours (experimental)
10.67
Favours (control)
Figure 4: Forest plot of depression outcomes (CBT compared to no treatment in patients with underlying diseases).
Experimental Control Mean difference Mean difference
Heterogeneity: chi2 = 40.21, df = 5 (P < 0.00001); I2= 88% Test for overall effect: Z = 10.32 (P < 0.00001)
–4.88 [–5.80, –3.95]
Study or subgroup Mean SD Total Mean SD Total
Weight (%) IV, fixed, 95% CI IV, fixed, 95% CI
(1)Jaap 2016 7.1 4.2 30 16.5 4.4 30 18.1 –9.40 [–11.58, –7.22] (2)Jaap 2016 12.4 4.8 30 16.5 4.4 30 15.8 –4.10 [–6.43, –1.77] Daniel J 2018 8.52 4.84 30 16.37 4.86 36 15.5 –7.85 [–10.20, –5.50] David 2017 10.11 5.41 72 11.36 5.89 91 28.4 –1.25 [–2.99, 0.49] Jaap 2015 11.56 6.23 32 15.95 6.21 22 7.5 –4.39 [–7.77, –1.01] Noah 2018 7.8 4.94 25 12.04 3.86 27 14.6 –4.24 [–6.66, –1.82]
Total (95% CI) 219 236 100.0
–10 –5 0 5 10 Favours (control)Favours (experimental)
Figure 5: Forest plot of insomnia outcomes (CBT compared to no treatment in patients without underlying diseases).
Evidence-Based Complementary and Alternative Medicine 9
effectiveness of online cognitive behavioral therapy (OCBT) for postpartum depressive symptomatology by comparing it with waiting list or treatment as usual. And the result identified a moderate significant size effect (d � −0.54, 95% CI [−0.716; −0.423]) of OCBT in reducing postpartum de- pression. However, few reviews focused on CBT for in- somnia comorbidity with depression; therefore, our review assessed the effectiveness of CBT-I for insomnia comor- bidity with depression by comparing it with no treatment or hypnotics. And the results of our review showed CBT-I was an effective therapy for patients with insomnia comorbid with depression to some degree. And the clinical effec- tiveness of CBT-I and hypnotics was familiar with no sig- nificant difference between CBT-I and hypnotics.
4.3. Strengths and Limitations. As we mentioned above, a number of reviews focused on the effectiveness of CBT-I for insomnia alone or depression alone. Considering insomnia often co-occurred with depression clinically, there were few guidelines or reviews focused on CBT-I for insomnia comorbidity with depression, so our review assessed the effectiveness of CBT-I for insomnia comorbidity with depression to provide evidence for clinical practice.
Limitations at review level:the quality of evidence varied from moderate to very low; the number of studies in each outcome was less than 10, we could not make publication bias. Limitations at study level: the number of qualified RCTs was insufficient, and the sample size of included studies was
IV, random, 95% CI
Heterogeneity: tau2 = 2.15; chi2 = 2.94, df = 1 (P = 0.09); I2 = 66% Test for overall effect: Z = 2.29 (P = 0.02) 3.1.2 PSQI
Heterogeneity : tau2 = 0.33; chi2 = 4.14, df = 2 (P = 0.13); I2 = 52% Test for overall effect: Z = 0.63 (P = 0.53)
Experimental Control Mean difference Study or subgroup Mean SD Total Mean SD Total
Weight (%) IV, random, 95% CI
3.1.1 ISI Huang QL2018 12.12 3.69 128 15.87 3.74 113 63.4 –3.75 [–4.69, –2.81] Lin L 2016 9.5 4.2 20 10.7 4.8 21 36.6 –1.20 [–3.96, 1.56]
Subtotal (95% CI) 148 134 100.0 –2.82 [–5.22, –0.41]
Han LX 2011 10.29 1.69 31 10.51 1.81 32 41.6 –0.22 [–1.08, 0.64] Lin L 2016 7.9 3.1 20 9.8 3.2 21 16.7 –1.90 [–3.83, 0.03] Zhou J 2013 13.04 4.09 150 12.76 3.62 160 41.7 0.28 [–0.58, 1.14]
Subtotal (95% CI) 201 213 100.0 –0.29 [–1.21, 0.62]
Test for subgroup differences: chi2 = 3.70. df = 1 (P = 0.05). I2 = 72.9%
Mean difference
–4 –2 0 2 4 Favours (experimental) Favours (control)
Figure 6: Forest plot of insomnia outcomes (CBT compared to hypnotics in patients without underlying diseases).
Experimental Control Mean difference Mean differenceStudy or subgroup
2.4.1BDI Mean Total Mean
Weight (%) IV, random, 95% CI IV, random, 95% CI
Daniel J 2018 11.19 8.14 30 10.52 8.7 36 41.6 0.67 [–3.40, 4.74] Noah 2018 5.48 5.56 25 8 6.09 27 58.4
Subtotal (95% CI) 55 63 100.0 Heterogeneity: tau2 = 1.63; chi2 = 1.47, df = 1 (P = 0.23); I2 = 32% Test for overall effect: Z = 0.76 (P = 0.45)
2.4.2 CES-D (1)Jaap 2016 8 5.6 30 21.3 10.1 30 35.9 (2)Jaap 2016 14.5 6.2 30 21.3 10.1 30 35.2 Jaap 2015 11.56 8.02 32 19.91 10.98 22 28.8
Subtotal (95% CI) 92 82 100.0 Heterogeneity: tau2 = 7.93; chi2 = 4.95, df = 2 (P = 0.08); I2 = 60% Test for overall effect: Z = 4.54 (P < 0.00001)
–2.52 [–5.69, 0.65] –1.19 [–4.27, 1.89]
–13.30 [–17.43, –9.17] –6.80 [–11.04, –2.56] –8.35 [–13.71, –2.99] –9.58 [–13.71, –5.45]
2.4.3 QIDS-CR16 David 2017 4.98 72 6.25 3.22 –1.27 [–2.25, –0.29]
Subtotal (95% CI) 72 91 –1.27 [–2.25, –0.29] Heterogeneity: not applicable Test for overall effect: Z = 2.55 (P = 0.01)
Test for subgroup differences: chi2 = 14.82. df = 2 (P = 0.0006). I2 = 86.5% –10 –5 0 5 10
3.11 100.0
91 100.0
Favours (experimental) Favours (control)
SD SD Total
Figure 7: Forest plot of depression outcomes (CBT compared to no treatment in patients without underlying diseases).
10 Evidence-Based Complementary and Alternative Medicine
small. Limitation at outcome level: only one RCTmentioned the item of adverse event and showed that no harm occurred in both CBT-I and no treatment; more evidence is needed to confirm the safety of CBT-I.
4.4. Implications for Clinical Practice. ,e evidence of our review supported that CBT-I was effective for insomnia in
patients suffering from insomnia and depression. And the effectiveness was comparable to hypnotics. CBT-I was likely to be safe due to its noninvasive nature. ,e findings suggest that CBT-I confers beneficial effects. Because of the low recommendation level of evidence, practitioners could recommend this therapy to patients and finally make a de- cision based on the evidence, the experience of doctors, and the preferences of patients.
Test for overall effect: Z = 0.61 (P = 0.54)
Heterogeneity: not applicable Test for overall effect: Z = 2.26 (P = 0.02)
Heterogeneity: not applicable Test for overall effect: Z = 1.46 (P = 0.14)
Experimental Control Mean difference Mean difference Study or subgroup
Mean SD Total Mean SD Total Weight
(%) IV, random, 95% CI IV, random, 95% Cl 3.2.1 HAMD Huang QL 2018 12.51 3.72 128 15.7 4.11 113 54.1 –3.19 [–4.18, –2.20] Lin L 2016 10.1 4.8 20 9.1 3.4 21 45.9 1.00 [–1.56, 3.56]
Subtotal (95% CI) 148 134 100.0 –1.27 [–5.36, 2.82] Heterogeneity: tau2 = 7.80; chi2 = 8.96, df = 1 (P = 0.003); I2 = 89%
3.2.2 SDS Zhou J 2013 32.59 3.13 150 33.45 3.57 160 100.0 –0.86 [–1.61, –0.11]
Subtotal (95% CI) 150 160 100.0 –0.86 [–1.61, –0.11]
3.2.3 SCL–90 Han LX 2011 0.55 31 1.95 0.79 32 100.0 –0.25 [–0.59, 0.09]
Subtotal (95% CI) 31 32 100.0 –0.25 [–0.59, 0.09]
Test for subgroup differences : chi2 = 2.33. df = 2 (P = 0.31). I2 = 14.0% –4 –2 0 2 4
Favours (experimental) Favours (control)
1.7
Figure 8: Forest plot of depression outcomes (CBT compared to hypnotics in patients without underlying diseases).
Table 4: Summary of findings table.
Participants (RCTs) Quality of evidence Anticipated absolute effects
Risk difference with intervention (95% CI) Patients with underlying diseases Insomnia outcome measurements CBT-I vs. no treatment ISI 229 (5) ⊕⊕⊕⃝moderate MD 4.47 lower (7.46 lower to 1.48 lower) PSQI 391 (5) ⊕⊕⊕⃝moderate MD 2.57 lower (3.5 lower to 1.65 lower) CBT-I vs. hypnotics None None None
Depression outcome measurements CBT-I vs. no treatment SDS 176 (2) ⊕⊕⃝⃝low MD 3.44 lower (5.83 lower to 1.06 lower) BDI 144 (2) ⊕⃝⃝⃝very low MD 2.61 lower (8.36 lower to 3.14 higher) HADS-D 85 (3) ⊕⊕⃝⃝low MD 3.1 lower (4.71 lower to 1.5 lower) CBT-I vs. hypnotics None None None
Patients without underlying diseases Insomnia outcome measurements CBT-I vs. no treatment ISI 455 (6) ⊕⊕⊕⃝moderate MD 4.88 lower (5.8 lower to 3.95 lower)
CBT-I vs. hypnotics ISI 282 (2) ⊕⊕⃝⃝low MD 2.82 lower (5.22 lower to 0.41 lower) PQSI 414 (3) ⊕⊕⃝⃝low MD 0.29 lower (1.21 lower to 0.62 higher)
Depression outcome measurements CBT-I vs. no treatment BDI 118 (2) ⊕⃝⃝⃝very low MD 1.19 lower (4.27 lower to 1.89 higher) CES-D 174 (3) ⊕⊕⃝⃝low MD 9.58 lower (13.71 lower to 5.45 lower)
CBT-I vs. hypnotics HAMD 282 (2) ⊕⊕⃝⃝low MD 1.27 lower (5.36 lower to 2.82 higher)
Evidence-Based Complementary and Alternative Medicine 11
4.5. Implications for Future Research. (1) Future studies should be conducted according to the Consolidated Standards of Reporting Trials (CONSORT) statement, which is essential to control the risk of bias. For example, considering the charac- teristics of CBT-I, it is hard to blind the doctors and patients, but we could blind outcome assessors. We could also pay more attention to allocation concealment to improve methodological quality of future studies. (2) Researchers should report every detail of studies according to the CONSORT statement, for example, adverse events in CBT-I should be comprehensively reported, although CBT-I appeared to be safe.
5. Conclusion
CBT-I may be an effective therapy for insomnia, and the effectiveness of CBT-I is comparable to hypnotics, while CBT-I is not an effective therapy for depression, which is the same to hypnotics in patients suffering from insomnia and depression. And CBT-I is likely to be safe. However, the quality and quantity of eligible RCTs are not good enough. And the evidence quality varied from moderate to very low, and the recommendation level of evidence was low (↑?/2). ,erefore, more well-designed trials are needed to confirm our findings.
Appendix
#1 Cognitive Behavioral ,erapy [MeSH Terms] #2 Behavioral ,erapies, Cognitive [Title/Abstract] #3 Behavioral ,erapy, Cognitive [Title/Abstract] #4 Cognitive Behavioral ,erapies [Title/Abstract] #5 ,erapies, Cognitive Behavioral [Title/Abstract] #6 ,erapy, Cognitive Behavioral [Title/Abstract] #7 ,erapy, Cognition [Title/Abstract] #8 ,erapy, Cognitive Behavior [Title/Abstract] #9 Cognition ,erapy [Title/Abstract] #10 Cognition ,erapies [Title/Abstract] #11 ,erapies, Cognition [Title/Abstract] #12 Cognitive Psychotherapy [Title/Abstract] #13 Cognitive Psychotherapies [Title/Abstract] #14 Psychotherapies, Cognitive [Title/Abstract] #15 Psychotherapy, Cognitive [Title/Abstract] #16 ,erapy, Cognitive [Title/Abstract] #17 Cognitive ,erapies [Title/Abstract] #18 ,erapies, Cognitive [Title/Abstract] #19 Cognitive ,erapy [Title/Abstract] #20 Cognitive Behavior ,erapy [Title/Abstract] #21 Behavior ,erapies, Cognitive [Title/Abstract] #22 Cognitive Behavior ,erapies [Title/Abstract] #23 ,erapies, Cognitive Behavior [Title/Abstract] #24 Behavior ,erapy, Cognitive [Title/Abstract] #25#1OR#2OR#3OR#4OR#5OR#6OR#7OR#8OR# 9OR#10OR#11OR#12OR#13OR
#14OR#15OR#16OR#17OR#18OR#19OR#20OR# 21OR#22OR#23OR#24 #26 Depression[MeSH Terms] #27 Depressions [Title/Abstract] #28 Depressive Symptoms [Title/Abstract] #29 Depressive Symptom [Title/Abstract] #30 Symptom, Depressive [Title/Abstract] #31 Symptoms, Depressive [Title/Abstract] #32 Emotional Depression [Title/Abstract] #33 Depression, Emotional [Title/Abstract] #34 Emotional Depressions [Title/Abstract] #35 Depressions, Emotional [Title/Abstract] #36#26OR#27OR#28OR#29OR#30OR#31OR#32OR# 33OR#34OR#35 #37 sleep initiation and maintenance disorders [MeSH Terms] #38 Disorders of Initiating and Maintaining Sleep [Title/Abstract] #39 DIMS (Disorders of Initiating and Maintaining Sleep) [Title/Abstract] #40 Early Awakening [Title/Abstract] #41 Awakening, Early [Title/Abstract] #42 Nonorganic Insomnia [Title/Abstract] #43 Insomnia, Nonorganic [Title/Abstract] #44 Primary Insomnia [Title/Abstract] #45 Insomnia, Primary [Title/Abstract] #46 Transient Insomnia [Title/Abstract] #47 Insomnia, Transient [Title/Abstract] #48 Rebound Insomnia [Title/Abstract] #49 Insomnia, Rebound [Title/Abstract] #50 Secondary Insomnia [Title/Abstract] #51 Insomnia, Secondary [Title/Abstract] #52 Sleep Initiation Dysfunction [Title/Abstract] #53 Dysfunction, Sleep Initiation [Title/Abstract] #54 Dysfunctions, Sleep Initiation [Title/Abstract] #55 Sleep Initiation Dysfunctions [Title/Abstract] #56 Sleeplessness [Title/Abstract] #57 Insomnia Disorder [Title/Abstract] #58 Insomnia Disorders [Title/Abstract] #59 Insomnia [Title/Abstract] #60 Insomnias [Title/Abstract] #61 Chronic Insomnia [Title/Abstract] #62 Insomnia, Chronic [Title/Abstract] #63 Psychophysiological Insomnia [Title/Abstract] #64 Insomnia, Psychophysiological [Title/Abstract] #65#37OR#38OR#39OR#40OR#41OR#42OR #43OR#44OR#45OR# 46OR#47OR#4
12 Evidence-Based Complementary and Alternative Medicine
8OR#49OR#50OR#51OR#52OR#53OR# 54OR#55OR#56OR#57OR#58OR#59OR# 60OR#61OR#62OR#63OR#64 #66#25AND#36AND#65
Conflicts of Interest
,e authors declare that there are no conflicts of interest.
Authors’ Contributions
Yingchun Miao, Mei Han, and Xun Li contributed to the design of this review. Guiyu Feng and Le Geng separately searched literature studies, selected suitable RCTs, extracted data, assessed the methodological quality of included RCTs, and evaluated the quality of evidence at the same time. Guiyu Feng and Yingchun Miao contributed to data analysis and completed the manu- script. Yingchun Miao, Mei Han, and Xun Li examined the manuscript and gave advice. Guiyu Feng revised the manuscript according to the suggestions of Yingchun Miao, Mei Han, and Xun Li. All the authors read and approved the final manuscript.
Acknowledgments
,e authors sincerely thank Ruixue Hu, Center for Evidence- Based Chinese Medicine, Beijing University of Chinese Med- icine, for helping search RCTs and assessing methodological quality of included RCTs. ,is review was funded by Beijing ENN Fund for Chinese Medicine (2018-XAJLJJ- 020), Beijing Science and Technology Project (Z141107002514078), National Key Program of China (2011ZX09302-006-01), and Young Talents Project of Beijing University of Chinese Medicine (2011- JYB22-JSY110).
References
[1] American Psychiatric Association, Sleep-wake Disorders. Diagnostic and Statistical Manual of Mental Disorders, American Psychiatric Association, Arlington, TX, USA, 5th edition, 2013.
[2] C. M. Morin and R. Benca, “Chronic insomnia,” :e Lancet, vol. 379, no. 9821, pp. 1129–1141, 2012.
[3] Insomnia. DynaMed web site,” 2015, http://www.dynamed. com/home.
[4] D. J. Buysse, “Insomnia,” Journal of the American Medical Association, vol. 309, no. 7, pp. 706–716, 2013.
[5] D. E. Ford and D. B. Kamerow, “Epidemiologic study of sleep disturbances and psychiatric disorders. An opportunity for prevention?” JAMA: :e Journal of the American Medical Association, vol. 262, no. 11, pp. 1479–1484, 1989.
[6] W. R. Pigeon, M. Pinquart, and K. Conner, “Meta-analysis of sleep disturbance and suicidal thoughts and behaviors,” :e Journal of Clinical Psychiatry, vol. 73, no. 09, pp. e1160–e1167, 2012.
[7] M. Li, X.-W. Zhang, W.-S. Hou, and Z.-Y. Tang, “Insomnia and risk of cardiovascular disease: a meta-analysis of cohort studies,” International Journal of Cardiology, vol. 176, no. 3, pp. 1044–1047, 2014.
[8] L. E. Laugsand, L. J. Vatten, C. Platou, and I. Janszky, “In- somnia and the Risk of Acute Myocardial Infarction,” Cir- culation, vol. 124, no. 19, pp. 2073–2081, 2011.
[9] L. E. Laugsand, L. B. Strand, C. Platou, L. J. Vatten, and I. Janszky, “Insomnia and the risk of incident heart failure: a population study,” European Heart Journal, vol. 35, no. 21, pp. 1382–1393, 2014.
[10] T. Anothaisintawee, S. Reutrakul, E. Van Caute, and A. ,akkinstian, “Sleep disturbances compared to traditional risk factors for diabetes development: systematic review and meta-analysis,” Sleep Medicine Reviews, vol. 30, pp. 11–24, 2015.
[11] K. Yaffe, C. M. Falvey, and T. Hoang, “Connections between sleep and cognition in older adults,” :e Lancet Neurology, vol. 13, no. 10, pp. 1017–1028, 2014.
[12] A. Qaseem, D. Kansagara, M. A. Forciea, M. Cooke, and T. D. Denberg, “Management of chronic insomnia disorder in adults: a clinical practice guideline from the american college of physicians,” Annals of Internal Medicine, vol. 165, no. 2, pp. 125–133, 2016.
[13] American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, American Psychiatric Associa- tion, Washington, DC, USA, 5th edition, 2013.
[14] S. J. Wilson, D. J. Nutt, C. Alford et al., “British Association for Psychopharmacology consensus statement on evidence-based treatment of insomnia, parasomnias and circadian rhythm disorders,” Journal of Psychopharmacology, vol. 24, no. 11, pp. 1577–1601, 2010.
[15] L. D. Asarnow and R. Manber, “Cognitive behavioral therapy for insomnia in depression,” Sleep Medicine Clinics, vol. 14, no. 2, pp. 177–184, 2019.
[16] B. Bei, L. D. Asarnow, A. Krystal, J. D. Edinger, D. J. Buysse, and R. Manber, “Treating insomnia in depression: insomnia related factors predict long-term depression trajectories,” Journal of Consulting and Clinical Psychology, vol. 86, no. 3, pp. 282–293, 2018.
[17] Workers’ Compensation Appeal Tribunal, Major Depressive Disorder in Adults: Diagnosis & Management, Workers’ Compensation Appeal Tribunal, Richmond, Canada, 2013.
[18] A. M. N. Burns, D. H. Erickson, and C. A. Brenner, “Cog- nitive-behavioral therapy for medication-resistant psychosis: a meta-analytic review,” Psychiatric Services, vol. 65, no. 7, pp. 874–880, 2014.
[19] M. A. Gebara, E. A. Dinapoli, L. G. Lederer et al., “Brief behavioral treatment for insomnia in older adults with late- life treatment-resistant depression and insomnia: a pilot study,” Sleep and Biological Rhythms, vol. 17, no. 3, pp. 287–295, 2019.
[20] D. Okai, S. Askey-Jones, M Samuel et al., “Trial of CBT for impulse control behaviors affecting Parkinson patients and their caregivers,” Neurology, vol. 80, no. 9, pp. 792–799, 2013.
[21] J. M. Trauer, M. Y. Qian, J. S. Doyle, S. M. W. Rajaratnam, and D. Cunnington, “Cognitive behavioral therapy for chronic insomnia,” Annals of Internal Medicine, vol. 163, no. 3, pp. 191–204, 2015.
[22] J. Higgins and S. Green, Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0, Wiley, Hoboken, N J, USA, 2011.
[23] L. Casault, J. Savard, H. Ivers, and M.-H. Savard, “A ran- domized-controlled trial of an early minimal cognitive- behavioural therapy for insomnia comorbid with cancer,” Behaviour Research and :erapy, vol. 67, pp. 45–54, 2015.
Evidence-Based Complementary and Alternative Medicine 13
[24] J. T. Daniel, A. L. Peterson, K. E. Pruiksma et al., “Impact of cognitive behavioral therapy for insomnia disorder on sleep and comorbid Symptoms in military personnel: a randomized clinical trial,” Sleep, vol. 41, no. 6, 2018.
[25] D. Shan, “Effect of cognitive behavioral intervention on pa- tients with ischemic stroke and insomnia,” Chinese Journal of Practical Nervous Diseases, vol. 15, no. 22, pp. 97–100, 2017.
[26] A. Wang, X. Zhou, and M. Wang, “Effect of cognitive be- havioral therapy on sleep quality in cancer patients during chemotherapy,” China Medical Herald, vol. 15, no. 11, pp. 154–157, 2018.
[27] Y. Hou, P. Hu, Y. Liang et al., “Cognitive behavioral therapy improves insomnia in maintenance hemodialysis patients,” Chinese Journal of Mental Health, the 7th Batch of Scientific and Technological Research Projects of Zhanjiang City, vol. 10, 2006.
[28] X. Yang, Y. Zhang, J. Liu et al., “,erapeutic effect of remote cognitive behavioral therapy on comorbidity and insomnia in hypertension,” Chinese Journal of Medical Officer, vol. 12, no. 4, pp. 69–73, 2017.
[29] N. Sylvia, D. Wang, A. Mckay et al., “Cognitive behavioural therapy for post-stroke fatigue and sleep disturbance: a pilot randomized controlled trial with blind. assessment,” Neuro- psychological Rehabilitation, vol. 29, no. 5, pp. 723–738, 2017.
[30] J.-F. Markus, S. J. Linton, I. K. Flink, S. Granberg, B. Danermark, and N.-C. Annika, “Cognitive-behavioral therapy for insomnia co-morbid with hearing impairment: a randomized controlled trial,” Journal of Clinical Psychology in Medical Settings, vol. 19, no. 2, pp. 224–234, 2012.
[31] D. E. David, C. Buntrock, D. Lehr et al., “Effectiveness of web- and mobile-based treatment of subthreshold depression with adherence-focused guidance: a single-blind randomized controlled trial,” Behavior :erapy, vol. 49, no. 1, pp. 71–83, 2018.
[32] J. Lancee, M. C. Eisma, A. Van Straten, and J. H. Kamphuis, “Sleep-Related safety behaviors and dysfunctional beliefs mediate the efficacy of online CBT for insomnia: a random- ized controlled trial,” Cognitive Behaviour :erapy, vol. 44, no. 5, pp. 406–422, 2015.
[33] J. Lancee, A. Van Straten, N. Morina, V. Kaldo, and J. H. Kamphuis, “Guided online or face-to-face cognitive behavioral treatment for insomnia: a randomized wait-list controlled trial,” Sleep, vol. 39, no. 1, pp. 183–191, 2016.
[34] N. Lorenz, E. Heim, A. Roetger, E. Birrer, and A. Maercker, “Randomized controlled trial to test the efficacy of an un- guided online intervention with automated feedback for the treatment of insomnia,” Behavioural and Cognitive Psycho- therapy, vol. 47, no. 3, pp. 1–16, 2018.
[35] L. S. Talbot, S. Maguen, T. J. Metzler et al., “Cognitive be- havioral therapy for insomnia in posttraumatic stress disor- der: a randomized controlled trial,” Sleep, vol. 37, no. 2, pp. 327–341, 2014.
[36] L. Han and X. Liu, “A comparative study of cognitive be- havioral therapy and zopiclone in the treatment of insomnia,” Chinese Journal of Health Psychology, vol. 19, no. 10, pp. 1166-1167, 2011.
[37] Q. Huang, F. Le, C. Jiang et al., “Analysis of the effect of group cognitive behavioral therapy on insomnia,” Chinese Journal of Medical Officer, vol. 3, no. 1, pp. 224–228, 2018.
[38] J. Zhou, L Meng, C. Li et al., “Observation on the effect of comprehensive psychological counseling on the intervention of insomnia in a certain officer,” People’s Military Medical University, vol. 10, no. 8, pp. 874-875, 2013.
[39] L. Lin, “Clinical study of chronic CBT-I on chronic in- somnia,” :ird Military Medical University, vol. 10, no. 6, pp. 1–57, 2016.
[40] F. Y.-Y. Ho, K.-F. Chung, W.-F. Yeung et al., “Self-help cognitive-behavioral therapy for insomnia: A meta-analysis of randomized controlled trials,” Sleep Medicine Reviews, vol. 19, pp. 17–28, 2015.
[41] M. Roman, T. Constantin, and C. M. Bostan, “,e efficiency of online cognitive-behavioral therapy for postpartum de- pressive symptomatology: a systematic review and meta- analysis,” Women & Health, vol. 60, no. 1, pp. 99–112, 2019.
14 Evidence-Based Complementary and Alternative Medicine
Copyright of Evidence-based Complementary & Alternative Medicine (eCAM) is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.