Front. Public HealthFrontiers in Public HealthFront. Public Health2296-2565Frontiers Media S.A.10.3389/fpubh.2023.1129322Public HealthOriginal ResearchEffects of dysfunctional beliefs about sleep on sleep quality and mental health among patients with COVID-19 treated in Fangcang shelter hospitalsPengJiaxi1†ZhangTian2†LiYijun2†WuLin2PengXiyuan2LiChenxi2LinXinxin2YuJing3MaoLi3SunJingjing4*FangPeng256*1Mental Health Education Center & College of Teachers, Chengdu University, Chengdu, China2Department of Military Medical Psychology, Air Force Medical University, Xi'an, China3Department of Radiology, 986 Hospital of Air Force Medical University, Xi'an, China4No. 10 Outpatient Department of Internal Medicine, 986 Hospital of Air Force Medical University, Xi'an, China5School of Biomedical Engineering, Air Force Medical University, Xi'an, China6Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China
Edited by: Renato de Filippis, Magna Græcia University, Italy
Reviewed by: Sérgio Arthuro Mota-Rolim, Federal University of Rio Grande do Norte, Brazil; Bing Xiang Yang, Wuhan University, China
*Correspondence: Jingjing Sun ✉ 705050020@qq.comPeng Fang ✉ fangpeng@fmmu.edu.cn
This article was submitted to Public Mental Health, a section of the journal Frontiers in Public Health
†These authors have contributed equally to this work
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Introduction
With the COVID-19 pandemic in China, a large number of mild or ordinary confirmed cases have been sent to Fangcang shelter hospitals for treatment. We aimed to investigate the mental health condition of Fangcang patients 2 years after the pandemic when patients knew more about COVID-19 and the virus was less virulent. We focused on the effect of dysfunctional beliefs and attitudes about sleep on depression, anxiety, and insomnia.
Methods
A total of 1,014 patients from two large Fangcang shelter hospitals in Shanghai between 22 April and 8 May 2022 completed a set of questionnaires comprising: the Dysfunctional Beliefs and Attitudes about Sleep scale, the Generalized Anxiety Disorder scale, the Patient Health Questionnaire, and the Insomnia Severity Index scale.
Results
Results show that the positive screening rates for anxiety, depression, and insomnia among tested patients were 55.3, 27.0, and 47.8%, respectively. Patients were more likely to report higher anxiety, depression, and insomnia, and to endorse affective and sleep disorders if they were: female, aged 18–40 years, with undergraduate course or above, white-collar employees, or those who thought the pandemic would have severe economic effects. About 51.4% of the participants had dysfunctional beliefs about sleep to varying degrees. Compared with patients who had accurate beliefs about sleep, the ratios of insomnia, anxiety, and depression were significantly higher among patients with dysfunctional beliefs about sleep.
Discussion
Attention should be paid to the mental health problems of patients in Fangcang shelter hospitals. The results indicate that dysfunctional beliefs about sleep significantly increased anxiety, depression, and insomnia of Fangcang patients.
Fangcang shelter hospitalsCOVID-19anxietydepressioninsomniadysfunctional beliefs about sleepIntroduction
With the COVID-19 pandemic in China, a large number of mild or ordinary confirmed cases have been sent to Fangcang shelter hospitals for treatment. Fangcang shelter hospitals are rapidly-deployable, temporary hospitals that integrate basic medical services and life safeguarding functions, and can be reconstructed from the existing large architecture facilities in cities, such as gymnasia, exhibition centers, storage warehouses, or large workshops (1, 2). Despite the great contributions to preventing pandemic spread, patients in Fangcang shelter hospitals have suffered depression, anxiety, insomnia, and other psychological problems (3–6). For example, Dai et al. found the positive screening rates for anxiety and depression among patients in Fangcang shelter hospitals were 18.6, and 13.4%, respectively (3). Zhang et al. reported 49.6% of participants had depressive or anxiety symptoms, and the symptoms of both depression and anxiety were highly correlated with the degree of insomnia (6). Gu et al. found 25.2, 50.1, 54.4, 10.2, and 39.7% of patients in Fangcang shelter hospitals reported symptoms of post-traumatic stress, anxiety, depression, insomnia, and perceived stress, respectively (5). So far, however, there are relatively few studies on the mental health of patients in Fangcang shelter hospitals, and the existing relevant research focuses on the effects of demographic variables on the mental health index. There has been no deep discussion into the emotional and individual psychological variables related to sleep disorders among patients in Fangcang shelter hospitals.
Insomnia is one of the main psychological problems caused by the COVID-19 pandemic (7, 8). A meta-analysis showed 35.7% of the general population suffered various sleep problems amid the pandemic, and it went up to 74.8% among COVID-19 patients (9). Stanton et al. found that experience of sleep disorders during the COVID-19 pandemic was highly correlated with anxiety, depression, and stress (10). Lin et al. reported pregnant women easily suffered anxiety and depression during the COVID-19 pandemic, and these were both significantly correlated with their sleeping status (11). Similarly, Zhang et al. found the sleep disorders of patients in Fangcang shelter hospitals were significantly correlated with mental health (6). Thus, in this study, we aimed to discuss the individual factors affecting the mental health of patients in Fangcang shelter hospitals, starting from the factors influencing sleep.
Many empirical studies suggest that improper pre-sleep cognition and views, and worry or fear of probable insomnia may critically affect the occurrence, development, maintenance, and treatment of insomnia (12). These cognitive factors are collectively called “dysfunctional beliefs about sleep” (13). Reportedly, dysfunctional beliefs about sleep can significantly predict insomnia, stress, depression, anxiety, and suicidal ideation (14). Recent sleep quality studies amid the COVID-19 pandemic have shown that individuals' dysfunctional beliefs about sleep are significantly correlated with sleep quality and mental health indicators (15, 16). For instance, Sella et al. found changes in self-reported sleep quality were largely associated with changes in dysfunctional sleep-related beliefs in older adults during COVID-19 lockdowns. Reportedly, 18.6% of Italian adults suffered clinical insomnia, and the severity of insomnia was significantly correlated with dysfunctional beliefs about sleep (17). Idrissi et al. found that 82.3% of people suffered dysfunctional beliefs about sleep to different extents amid the pandemic, and these beliefs were significantly correlated with insomnia, anxiety, and depression (15).
The wave of the COVID-19 pandemic dominated by the Omicron variant started to spread in Shanghai in April 2022. At that point, about 110 Fangcang shelter hospitals are founded in Shanghai, with up to 250,000 beds; these mainly accepted and isolated patients who were asymptomatic or had mild infections (18). This study was targeted at patients treated in some Fangcang shelter hospitals in Shanghai during this period. The insomnia, depression, and anxiety of patients were investigated, and our study was primarily focused on how dysfunctional beliefs about sleep were related with sleep disorders and affective disorders. Compared with previous studies on the mental health of patients in Fangcang shelter hospitals, our data were collected 2 years after the pandemic when patients already knew more about COVID-19. Moreover, the Omicron variant was less virulent than previous variants (19). For these reasons, patients treated during the study period may have had better mental health than patients at early stages of the pandemic. Additionally, previous studies ignored the effects of individual cognitive factors on insomnia and affective disorders. Although the objective realities of Fangcang shelter hospitals—poor living facilities, 24-h lighting, limited personal space, concern about illness status—are major causes for the mental problems of patients, we believe the traits and cognition of patients also play important roles. This is the first study to consider the effects of dysfunctional beliefs about sleep on the insomnia, depression, and anxiety of patients in Fangcang shelter hospitals.
MethodsParticipants
Convenience sampling was used to collect data from two large Fangcang shelter hospitals in Shanghai from 22 April to 8 May 2022. The inclusion criteria were: positive COVID-19 status, diagnosed as asymptomatic or mild patients; admission within the previous 2 weeks; age 16–65 years; breathing rate < 30 beats per minute; demonstration of cognizance and self-caring abilities in answering questionnaires; no history of self-reported psychopathy; no use of anti-depression or anti-anxiety drugs within one year; no other chronic diseases (e.g., hypertension, coronary heart diseases). With traditional written tests, some trained nurses informed the patients about the significance of this questionnaire. After the patients signed informed consent forms, they voluntarily participated in the questionnaire.
In total, 1,124 copies of the questionnaire were sent out, and 1,087 copies were returned. Of them, 73 copies were excluded due to their incompleteness. Finally, 1,014 copies were included in the analysis.
MeasuresDemographic information
The demographic variables collected included gender (male or female); age (<18 years, 18–40 years, 40–60 years, >60 years); whether the individual was very worried about the economy (yes or no); education level (senior high school and below, technical school and junior college, undergraduate and above); and occupation (industrial workers, white-collar employees, students, unemployed and others).
Dysfunctional beliefs and attitudes about sleep-16
The DBAS-16, developed by Morin, Vallières, and Ivers, consists of sixteen items that estimate the respondents' beliefs and attitudes about sleep (13). Some example items are “My sleep is unpredictable” and “Insomnia is destroying my life”. The DBAS-16 assesses the following four dimensions: consequences of insomnia, worry about sleep, sleep expectation, and prescription of drugs. The DBAS-16 was translated into Chinese and showed good reliability and validity (20). The responses were made using a 5-point Likert scale, ranging from 1 (Strongly disagree) to 5 (Strongly agree). The summations of all items, and of the items belonging to each dimension, were calculated as the global score and score of each dimension, respectively. The global score ranged from 16 to 80. According to Fu, Ou, and Lu, a total score ≥ 48 indicates false beliefs about sleep, whereas scores lower than 48 indicate correct, or accurate, beliefs about sleep (20). The Cronbach's alpha coefficient of the DBAS-16 was 0.89 in the current study.
Generalized anxiety disorder scale
GAD-7, which consists of seven items, was used to estimate the respondents' anxiety (21). Some example items are “I worry too much about different things” and “I become easily annoyed or irritable”. The responses were made using a 4-point Likert scale, ranging from 0 (Not at all) to 3 (Nearly every day). The summation of all items was calculated for the global score, ranging from 0 to 21, which indicated severity of anxiety symptoms: minimal (0–4), mild (5–9), moderate or severe (10–22). The Cronbach's alpha coefficient of GAD-7 was 0.95 in the current study.
Patient health questionnaire-9
PHQ-9, which consists of nine items, was used to estimate patients' depressive symptoms (23). Some example items were “I experience poor appetite or overeating” and “I feel tired or have little energy”. The responses were made using a 4-point Likert scale, ranging from 0 (Not at all) to 3 (Nearly every day). The summation of all items was calculated as the global score, ranging from 0 to 27, which indicated the severity of depression symptoms: minimal (0–9), mild (10–14), moderate or severe (6, 15–27). The Cronbach's alpha coefficient of PHQ-9 was 0.92 in the current study.
The insomnia severity index
The ISI, which consists of five items, was used to estimate the severity of insomnia (24). Some example items were “I have difficulty falling asleep” and “I have difficulty staying asleep”. The responses were made using a 5-point Likert scale, ranging from 0 (None) to 4 (Very). The summation of all items was calculated as the global score, ranging from 0 to 28, which indicated severity of insomnia: minimal (0–7), mild (8–14), moderate or severe (15–28). The Cronbach's alpha coefficient of PHQ-9 was 0.83 in the current study.
Data analysis
Statistical analyses were carried out using SPSS 22.0. Descriptive statistics, correlation analysis, and logistic regression analysis were used to analyze the data collected.
Results
Table 1 lists the demographic information of the participants, and the mental health differences observed in terms of gender, age, education level, economic concern, and occupation. Results showed depression (F = 12.39, P < 0.01), anxiety (F = 12.94, P < 0.01), and insomnia (F = 6.08, P = 0.02) were more severe among females than males. Depression (F = 12.39, P < 0.01), anxiety (F = 12.94, P < 0.01), and insomnia (F = 6.08, P = 0.02) were significantly different among age groups, and the scores were highest among patients aged 18–40 years. Depression (F = 3.18, P = 0.04), anxiety (F = 4.38, P = 0.01), and insomnia (F = 5.04, P = 0.01) were significantly higher in patients with a bachelor's degree or above, compared with other education levels. Those concerned about the economy reported significantly higher depression (F = 21.23, P < 0.01), anxiety (F = 15.64, P = 0.01), and insomnia (F = 21.92, P < 0.01), than those who were not. Significant differences in depression (F = 3.27, P = 0.01), anxiety (F = 2.31, P = 0.05) and insomnia (F = 2.52, P = 0.04) were found among different occupations, and white-collar employees had the worst mental health status.
Demographic characteristics of patients.
n(% of total)
Depression
F
Anxiety
F
Insomnia
F
Overall
1,014
6.71 ± 5.91
4.81 ± 5.34
8.75 ± 6.13
Gender
Male
594 (58.6)
6.16 ± 5.83
12.39**
4.31 ± 5.21
12.94**
8.35 ± 6.30
6.08*
Female
420 (41.4)
7.48 ± 5.95
5.52 ± 5.44
9.31 ± 5.83
Age
<18
35 (3.5)
4.86 ± 4.91
5.14**
2.69 ± 3.73
4.71**
7.17 ± 5.15
7.79*
18–40
584 (57.6)
7.29 ± 5.87
5.27 ± 5.36
9.52 ± 6.12
40–60
332 (32.7)
6.09 ± 5.93
4.43 ± 5.33
7.81 ± 6.02
>60
63 (6.2)
5.54 ± 6.09
3.76 ± 5.51
7.30 ± 6.26
Education
High school or below
414 (40.8)
6.29 ± 6.06
3.18*
4.63 ± 5.30
4.38**
8.06 ± 6.29
5.04**
Junior college
403 (39.7)
6.71 ± 5.80
4.51 ± 5.23
9.03 ± 6.05
Bachelor or above
197 (19.4)
7.57 ± 5.75
5.81 ± 5.34
9.62 ± 5.81
Economic worry
Yes
521 (51.4)
7.53 ± 5.94
21.23**
5.45 ± 5.46
15.64**
9.61 ± 6.07
21.92**
No
493 (48.6)
5.84 ± 5.76
4.14 ± 5.13
7.83 ± 6.07
Occupation
Industrial workers
252 (24.9)
5.83 ± 5.22
3.27**
4.08 ± 4.74
2.31*
8.20 ± 5.53
2.52*
Retirees
93 (9.2)
6.19 ± 6.15
4.69 ± 5.33
7.91 ± 6.31
Students
55 (5.4)
6.65 ± 6.09
4.71 ± 5.12
8.09 ± 5.58
Unemployed & others
276 (27.2)
6.68 ± 6.20
4.81 ± 5.34
8.69 ± 6.39
White-collar employees
338 (33.3)
7.54 ± 5.97
5.42 ± 5.63
9.54 ± 6.32
p < 0.05;
p < 0.01.
Table 2 describes the correlations of anxiety, depression, and insomnia with each dimension of dysfunctional beliefs about sleep. Results show strong, positive correlations exist between anxiety, depression, and insomnia, and these three factors are all significantly correlated with all of the dimensions of dysfunctional beliefs about sleep to different degrees.
Pearson correlation analysis among all variables.
1
2
3
4
5
6
1. Sleep expectation
2. Assignment of drug
0.44**
3. Consequences of insomnia
0.74**
0.69**
4. Worry about sleep
0.65**
0.77**
0.85**
5. Depression
0.28**
0.42**
0.42**
0.50**
6. Anxiety
0.28**
0.42**
0.42**
0.49**
0.86**
7. Insomnia
0.34**
0.44**
0.46**
0.55**
0.74**
0.69**
p < 0.01.
The screening criteria for depression, anxiety, and insomnia were set at PHQ-9 >10, GAD-7 >5, and ISI >8 respectively. Results showed 27.0, 55.3, and 47.8% of the participants have various degrees of depression, anxiety, and insomnia; and 11.3, 17.2, and 16.8% of the total reported moderate or severe depression, anxiety, and insomnia, respectively. Logistic regression analysis showed that female participants were more likely to report depression (OR = 1.35, P = 0.04), anxiety (OR = 1.49, P < 0.01), and insomnia (OR = 1.48, P < 0.01), compared with male participants. Participants who were concerned about the economy were more likely to report depression (OR = 1.97, P < 0.01), anxiety (OR = 1.79, P < 0.01), and insomnia (OR = 1.67, P < 0.01), compared with those who were not. Education, age, and occupation significantly predicted anxiety and insomnia. Participants with a bachelor's degree or above, aged 18–40, and who had worked at a company were more likely to report anxiety and insomnia, see Table 3.
Prevalence of depression, anxiety and insomnia according to the demographic variables.
No. of cases (%)
Adjusted OR (95% CI)
P
No. of cases (%)
Adjusted OR (95% CI)
P
No. of cases (%)
Adjusted OR (95% CI)
P
Depression
274 (27.0)
Anxiety
453 (44.7)
Insomnia
529 (52.2)
Gender
Gender
Gender
Male
146 (24.6)
1 [Reference]
Male
146 (24.6)
1 [Reference]
Male
286 (48.1)
1 [Reference]
Female
128 (30.5)
1.35 (1.02–1.78)
0.04
Female
212 (50.5)
1.49 (1.16–1.92)
< 0.01
Female
243 (57.9)
1.48 (1.14–1.90)
<0.01
Age
Age
Age
<18
5 (14.3)
1 [Reference]
<18
11 (31.4)
1 [Reference]
<18
14 (40.0)
1 [Reference]
18–40
175 (30.0)
2.57 (0.98–6.73)
0.06
18–40
290 (49.7)
2.15 (1.03–4.47)
0.04
18–40
338(57.9)
1.03 (1.03–4.13)
0.04
40–60
82 (24.7)
1.97 (0.74–5.24)
0.18
40–60
133 (40.1)
1.49 (0.69–3.08)
0.32
40–60
152 (45.8)
1.27 (0.62–2.58)
0.51
>60
12 (19.0)
1.41 (0.45–4.34)
0.55
>60
19 (30.2)
0.94 (0.39–2.30)
0.90
>60
25 (39.7)
0.99 (0.42–2.30)
0.97
Education
Education
Education
HSB
105 (25.4)
1 [Reference]
HSB
177 (42.8)
1 [Reference]
HSB
189 (45.7)
1 [Reference]
JC
112 (27.8)
1.13 (0.83–1.55)
0.43
JC
169 (41.9)
0.97 (0.73–1.28)
0.83
JC
228 (56.6)
1.55 (1.17–2.04)
<0.01
BA
57 (28.9)
1.20 (0.82–1.75)
0.35
BA
107 (54.3)
1.59 (1.13–2.24)
0.01
BA
112 (56.9)
1.57 (1.11–2.21)
0.01
EW
EW
EW
Yes
174 (33.4)
1 [Reference]
Yes
269 (51.6)
1 [Reference]
Yes
304 (58.3)
1 [Reference]
No
100 (20.3)
0.51 (0.38–0.68)
<0.01
No
184 (37.3)
0.56 (0.43–0.71)
<0.01
No
225 (45.6)
0.60 (0.47–0.77)
<0.01
Occupation
Occupation
Occupation
IW
61 (24.2)
1 [Reference]
IW
101 (40.1)
1 [Reference]
IW
129 (51.2)
1 [Reference]
Retirees
20 (21.5)
0.86 (0.48–1.52)
0.18
Retirees
41 (44.1)
1.18 (0.73–1.91)
0.50
Retirees
46 (49.5)
1.01 (0.64–1.65)
0.91
Students
13 (23.6)
0.97 (0.49–1.92)
0.25
Students
25 (45.5)
1.25 (0.69–2.24)
0.46
Students
25 (45.5)
0.87 (0.49–1.57)
0.65
UE & others
78 (28.3)
1.23 (0.84–1.82)
0.13
LP
119 (43.1)
1.13 (0.80–1.60)
0.48
LP
141 (51.1)
1.10 (0.78–1.54)
0.60
WCE
102 (30.2)
1.35 (0.93–1.96)
0.11
WCE
167 (49.4)
1.46 (1.05–2.03)
0.03
WCE
194 (57.4)
1.41 (1.02–1.96)
0.04
HSB, High school or below; JC, Junior college; BA, Bachelor or above; IW, Industrial workers; UE, Unemployed; WCE, White-collar employees.
Statistical analyses showed 51.4% of the participants had false beliefs about sleep. Table 4 summarizes the prevalence of depression, anxiety, and insomnia according to beliefs about sleep among patients with COVID-19 who were treated in Fangcang shelter hospitals. Accurate beliefs about sleep protect respondents from experiencing depression (χ2 = 107.31, P < 0.01), anxiety (χ2 = 180.30, P < 0.01), and insomnia (χ2 = 168.48, P < 0.01).
Prevalence of depression, anxiety and insomnia according to respondents' BAS.
Variable
Accurate BAS N (%)
False BAS N (%)
χ2
p
Depression
Yes
60 (12.2)
214 (41.1)
107.31
<0.01
No
433 (87.8)
307 (58.9)
Anxiety
Yes
114 (23.1)
339 (65.1)
180.30
<0.01
No
379 (76.9)
182 (34.9)
Insomnia
Yes
154 (31.2)
375 (72.0)
168.48
<0.01
No
339 (68.8)
146 (28.0)
BAS, beliefs about sleep.
Discussion
In the current study, we investigated the anxiety, depression, and insomnia among patients treated in Fangcang shelter hospitals during the wave of the COVID-19 pandemic that was dominated by the Omicron variant. The effects of dysfunctional beliefs about sleep on the insomnia, depression, and anxiety of patients in Fangcang shelter hospitals were also explored.
The positive screening rates for anxiety, depression, and insomnia among the tested patients were 55.3, 27.0, and 47.8%, respectively. Amid the pandemic, the positive screening rates of anxiety, depression, and insomnia among the general Chinese adult population were 35.1, 20.1, and 18.2% respectively (25). Of the participants, 11.3, 17.2, and 16.8% reported moderate or severe depression, anxiety, and insomnia. Gu et al. reported 50.1, 54.4, and 10.2% of patients in Fangcang shelter hospitals had moderate or severe symptoms of anxiety, depression, and insomnia, respectively, in 2020 (4), showing significant less participants have moderate or severe affective disorders in our study, compared with patients at the early stages of the pandemic. On the one hand, although the virulence of the Omicron variant is significantly weaker, the proportions of affective and sleep disorders among patients treated in Fangcang shelter hospitals were still higher than those of healthy people. On the other hand, although many patients reported depression, anxiety, or sleep problems to different degrees, the majority of them were mild cases, and the incidence of moderate or severe disorders was significantly reduced compared with patients at the early stages of the pandemic. These facts indicate that attention should be paid to the mental health problems of patients in Fangcang shelter hospitals.
Analysis of variance, and logistic regression analysis of anxiety, depression, and insomnia all demonstrated that patients who were female, aged 18–40 years, had a bachelor's degree or above, were white-collar employees, or those who thought the pandemic would have severe economic effects, reported higher anxiety, depression, and insomnia, and were more likely to report affective and sleep disorders. In particular, those with high education levels were more prone to affective and sleep disorders, which was the opposite result to that of a survey of patients treated in Fangcang shelter hospitals of Wuhan in 2020, conducted by Gu et al., who found patients with lower education levels were more likely to suffer anxiety and depression (4). Possible explanations for this were that during the early pandemic, patients were more worried about their illness status, probable fatality rates, and sequellae (26, 27). As patients with higher education levels had more channels to acquire correct information about the disease, they felt less anxiety or tension (28). Then, 2 years after the pandemic, especially when the low virulence and fatality rates of the Omicron variant were widely reported, the majority of patients were well acquainted with COVID-19 (19). On the contrary, patients with higher education levels were more worried about the sociometric impacts of the pandemic. Our study showed that the proportion of patients with higher education levels who thought the pandemic would have severe economic impacts was significantly higher than that of patients with lower education levels (42.8% of participants with a high school education reported they were very worried about the economy; and the rates were 55.1 and 62.9% for participants in the current study with a junior college education and with bachelors' degree or above, respectively). Thus, patients with higher education levels reported higher anxiety, depression, and insomnia.
Our study showed the dimensions of dysfunctional beliefs about sleep were all significantly positively correlated with insomnia, anxiety, and depression. About 51.4% of participants had dysfunctional beliefs about sleep to varying degrees. Compared to patients with accurate beliefs about sleep, the ratios of insomnia, anxiety, and depression were significantly higher among patients with dysfunctional beliefs about sleep. This result was consistent with a study on Moroccan adults during the pandemic (15). Dysfunctional beliefs about sleep (e.g., unreasonable expectations of the duration of sleep and over-estimation of possible impacts of insomnia) will affect sleep execution (29). The cognitive model of sleep states that dysfunctional beliefs about sleep will drive individuals to conduct some sleep-related protective behaviors, which may induce secondary insomnia. Because of persistent insomnia, their self-feedback about sleep quality and insomnia will promote individuals to strengthen their personal dysfunctional beliefs (30). Patients in Fangcang shelter hospitals may have low-quality sleep due to the unfavorable living environment, and if they hold some dysfunctional beliefs about sleep, such as “I must sleep for a certain length of time so as to maintain energy”; such unrealistic expectations will arouse negative emotions (15). In particular, the worry and sense of helplessness related to insomnia and nightmares will easily arouse anxiety and depression, which may cause difficulty falling asleep, or nocturnal awakening (31–33). At the same time, sleep disorders are significantly and positively correlated with affective disorders (anxiety, depression). This has been extensively shown in many previous studies, as well as in some recent studies during the COVID-19 pandemic (14, 34, 35). So, accurate beliefs about sleep can prevent patients in Fangcang shelter hospitals from depression, anxiety, and insomnia.
Given that dysfunctional beliefs about sleep play a key role in inducing and maintaining insomnia and negative emotions, our findings may imply that we can improve the sleep and mental health condition of patients in Fangcang shelter hospitals by altering their dysfunctional beliefs about sleep. For instance, Edinger et al. thought the dysfunctional beliefs about sleep and attitudes of individuals could be altered by cognitive behavioral therapy (12). It was found that scores of dysfunctional beliefs and attitudes were significantly lowered after the intervention, and participants' sleep quality indices were also largely improved, including: time taken to fall asleep, subjective sleep quality, duration of sleep, and times of awakening at night (12, 36). Thus, we suggest that COVID-19 patients, especially those in Fangcang shelter hospitals, should be kept apprised of correct sleep information and be helped to form correct beliefs about sleep, which, critically, may help maintain their mental health.
This study has several limitations. First, convenience sampling was used, and moderate and severe patients were not investigated. Additionally, all data were collected only in two Fangcang shelter hospitals, so it is impossible to make any inferences about larger populations of COVID-19 patients. Second, due to the time and workload pressure, we failed to collect data on healthy adults for this period of time as a comparable control group. Third, this is a cross-sectional study, and we cannot determine any causal relationships among the variables.
Conclusions and perspectives
Attention should be paid to the mental health problems of patients in Fangcang shelter hospitals. We recommend giving patients in Fangcang shelter hospitals more psychological support, and helping them to form correct beliefs about sleep, which may help maintain their mental health.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
This study was approved by the Clinical Trial Ethics Committee of the First Affiliated Hospital of Air Force Medical University and is registered at the Chinese Clinical Trial Registry, with the registration number CHiCTR1800019761. The patients/participants provided their written informed consent to participate in this study.
Author contributions
JP and YL were responsible for the writing of this manuscript. LW, XP, CL, XL, JY, and LM were responsible for the data collection. JP and PF were responsible for the data analysis. PF and JS were responsible for the experimental design. TZ was responsible for the revision. All authors approved the final manuscript.
Funding
This study was financially supported by the National Natural Science Foundation of China (31900791), China Postdoctoral Science Foundation (2019M653963), the Scientific and technological research projects for major problems in aviation medicine (2020ZTD01), and Air Force Medical University Everest project (2020cyjhfp).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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