Literature DB >> 34949919

Anxiety and Depression in Patients with Chronic Obstructive Pulmonary Disease in China: Results from the China Pulmonary Health [CPH] Study.

Ke Huang1,2, Kewu Huang3, Jianying Xu4, Lan Yang5, Jianping Zhao6, Xiangyan Zhang7, Chunxue Bai8, Jian Kang9, Pixin Ran10, Huahao Shen11, Fuqiang Wen12, Yahong Chen13, Tieying Sun14, Guangliang Shan15, Yingxiang Lin3, Sinan Wu2,16, Ting Yang1,2,17, Chen Wang1,2,17,18.   

Abstract

PURPOSE: Anxiety and depression are often underdiagnosed and affect the prognosis of patients with chronic obstructive pulmonary disease (COPD). We analyzed data from the China Pulmonary Health (CPH) study to assess the prevalence of anxiety and depression in COPD patients and their relationship with disease severity. PATIENTS AND METHODS: A total of 57,779 subjects aged 20 years or older were recruited in the CPH study. All participants were assessed using a standard questionnaire and underwent pulmonary function tests before and after the use of a bronchodilator in local health centers. The Hospital Anxiety and Depression Scale (HADS) questionnaire with a cutoff score of 8 was used to define anxiety and depression. The prevalence of anxiety and depression in patients of COPD were investigated. Multivariate logistic regression was used to investigate the effects of COPD and lung function on anxiety and depression.
RESULTS: A total of 49,053 participants (20,661 men and 28,392 women) completed the questionnaire with reliable post-bronchodilator pulmonary function test results and were included in the final analysis, of which 4686 (9.55%) were diagnosed with COPD. Of the patients with COPD, 10.79% had anxiety, 13.65% had depression, and 7.08% had anxiety and depression concomitantly. In the multivariate logistic regression analysis, COPD was not significantly associated with anxiety, depression, or both. After adjusting for confounders in model 1, patients in the GOLD III-IV group had a significantly higher risk of anxiety, depression, and their coincidence. After further adjusting for respiratory symptoms in model 2, lung function impairment in the GOLD III-IV group was only significantly associated with a higher risk of depression or at least one of anxiety and depression.
CONCLUSION: Anxiety and depression are prevalent in patients with COPD in China. More severe lung function impairment is significantly associated with a higher risk of depression.
© 2021 Huang et al.

Entities:  

Keywords:  COPD; HADS; Hospital Anxiety and Depression Scale; anxiety; depression

Mesh:

Substances:

Year:  2021        PMID: 34949919      PMCID: PMC8691135          DOI: 10.2147/COPD.S328617

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

Chronic obstructive pulmonary disease (COPD) is a common chronic respiratory disease affecting approximately 99.9 million Chinese people, according to the China Pulmonary Health (CPH) study,1 which is the largest survey evaluating the burden of COPD in China. COPD is the third leading cause of death and the fourth leading cause of years of life lost in China.2 Comorbidities, including anxiety and depression, are common in COPD patients and have a significant impact on prognosis.3,4 Anxiety and depression are common mental disorders and a recent survey reported that the lifetime prevalence of anxiety and depression disorders were 7.6% and 6.8%, respectively, in China.5 Previous studies found that nearly one in four COPD patients suffered from depressive symptoms and up to 40% of COPD patients have clinical anxiety, although they are often undiagnosed.6–9 Patients with anxiety and depression have impaired prognosis in terms of health-related quality of life, healthcare utilization, and mortality.10,11 Our previous study also showed that depression increases the risk of COPD exacerbations and hospitalizations.12 Many factors contribute to the development of anxiety and depression in COPD, but strangely, disease severity does not affect the level of anxiety and depression.13 Since previous studies used different tools to define anxiety and depression and were conducted in different settings, mostly in hospitals or primary care clinics, it is difficult to reach a consensus about their prevalence, especially among COPD patients from the general population. To our knowledge, there is no national survey evaluating the prevalence of anxiety and depression in COPD patients from the general population. In the present study, we used data from the CPH study to evaluate the prevalence of anxiety and depression among COPD patients and their relationship with disease severity.

Patients and Methods

Study Population

We used data from the previously published CPH study.1,14,15 Briefly, the CPH study is a national cross-sectional study, including 57,779 Chinese adults aged 20 years or older, which was sampled using a multistage stratified cluster sampling procedure in 10 provinces across the country, including 80 urban sites and 80 rural sites. A standardized questionnaire, including information on sociodemographic status, medical history, smoking history, respiratory symptoms, anxiety, and depression, was administered to participants by trained health workers. Spirometry was performed by trained health workers using a standardized protocol for all participants. The Hospital Anxiety and Depression Scale (HADS) questionnaire16,17 was used to evaluate anxiety and depression. This study was conducted in accordance with the Declaration of Helsinki. The study protocol was approved by the Ethics Review Committees of the Capital Medical University (Beijing, China) and all other participating centers. Written informed consent was obtained from all participants.

Procedures

Lung function test procedures and definitions of COPD, respiratory symptoms, smoking status, and smoking exposure have been reported previously.1 Post-bronchodilator forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) were measured using standardized spirometry. The post-bronchodilator FEV1/FVC ratio was used to define COPD, and the ratio of observed to predicted FEV1 (FEV1%pred) was used to stage disease severity according to the 2017 Global Initiative for Chronic Obstructive Lung Disease (GOLD). Marital status and family income were included in the analysis. Comorbidities, including cardiovascular diseases (coronary heart disease, stroke, and hypertension), malignant tumors, and diabetes mellitus, were also evaluated. Anxiety and depression were assessed using the HADS questionnaire, which has been validated as a tool for screening cases of anxiety and depression and evaluating symptom severity in general populations and patients with chronic diseases, including COPD.16 The Chinese HADS has been validated in the Chinese population.17 The HADS questionnaire has 14 items, 7 items for anxiety and 7 for depression. The scores range from 0 to 3 for each item and 0 to 21 for each subscale, with a score of 0–7 denoting no cases; 8–10, mild cases; 11–14, moderate cases; and ≥ 15, severe cases.

Statistical Analysis

The categorical variables were expressed as frequencies and percentages. The continuous variables were tested if they were normally distributed, and were presented as mean ± standard deviation or median (interquartile range, IQR) where appropriate. The t-test or Mann–Whitney U-test were used to investigate differences between groups for normally or abnormally distributed continuous variables, respectively. The Pearson’s Chi-square test or Fisher’s exact test was utilized to assess the differences between groups for categorical variables. The prevalence of anxiety and depression in different groups were expressed as a histogram. Multivariable logistic regression was used to investigate the effects of COPD and lung function on anxiety and depression. Confounders consisting of age, gender, marital status, employment, smoking index, cardiovascular disease, diabetes, malignant tumors and respiratory symptoms etc. were included in the multivariable-adjusted models. Model 1 was adjusted for age, gender, body mass index (BMI), marital status, education, employment, family income, smoking index, stroke, coronary heart disease, hypertension, diabetes, and malignancy. Model 2 was further adjusted for respiratory symptoms. Data analysis was performed using SAS version 9.4 (SAS Institute, Inc, Cary, NC, USA). Statistical significance was set at P < 0.05.

Results

In the final CPH study database including 50,991 participants, 1938 (3.8%) of them did not have an intact HADS questionnaire or information about marital status, education, employment, and family income; hence, they were excluded from the final analysis in this study. Finally, 49,053 participants (20,661 men and 28,392 women) were included in the analysis. The characteristics of participants with anxiety and depression are shown in Table 1. A total of 4648 (9.48%) participants had anxiety, 5528 (11.27%) had depression, and 2946 (6.01%) had anxiety and depression concomitantly. In the single factor analysis, anxiety was associated with older age, female sex, lower BMI, lower education level, current employment, lower family income, decreased smoking index, and more respiratory symptoms. The comorbidity profile was different between participants with anxiety and those with depression. Coronary heart disease and stroke were more common in participants with anxiety or depression; malignancy was more common in patients with anxiety. However, hypertension and diabetes were more common in patients with depression. Lung function measurements were lower in terms of FEV1 and FEV1/FVC, but this trend was not observed in FEV1% pred. Absolute numbers and prevalence of anxiety and depression were shown in the . The characteristics of patients with COPD with and without anxiety and depression were shown in the .
Table 1

Characteristics of All Participants with Anxiety and Depression

Anxiety (n=4648)No Anxiety (n=44,405)PDepression (n=5528)No Depression (n=43,525)PAnxiety and Depression (n=2946)Anxiety or Depression (n=4284)No Anxiety and No Depression (n=41,823)P
COPD, n (%)509 (10.95)4177 (9.41)0.001649 (11.74)4037 (9.27)< 0.001338 (11.47)482 (11.25)3866 (9.24%)< 0.001
Age, median (IQR), years51.00 (20.00)50.00 (20.00)< 0.00154.00 (19.00)40.00 (20.00)< 0.00153.00 (19.00)53.00 (19.00)40.00 (20.00)< 0.001
Female, n (%)3026 (65.10)25,366 (57.12)< 0.0013395 (61.41)24,997 (57.43)< 0.0011886 (64.02)2649 (61.83)23,857 (57.04)< 0.001
BMI, median (IQR), kg/m223.44 (4.61)23.81 (4.61)< 0.00123.60 (4.64)23.80 (4.63)0.01323.44 (4.73)23.60 (4.52)23.81 (4.62)< 0.001
High school or above, n (%)1506 (32.40)17,737 (39.94)< 0.0011504 (27.21)17,739 (40.76)< 0.001802 (27.22)1406 (32.82)17,035 (40.73)< 0.001
Currently married, n (%)4042 (86.96)38,988 (87.80)0.0974827 (87.32)38,203 (87.77)0.3332579 (87.54)3711 (86.62)36,740 (87.85)0.065
Currently employed, n (%)2086 (44.88)25,961 (58.46)< 0.0012414 (43.67)25,633 (58.89)< 0.0011235 (41.92)2030 (47.39)24,782 (59.25)< 0.001
Family income, median (IQR), ten thousand yuan/year2.00 (4.00)3.00 (3.00)< 0.0012.00 (4.00)3.00 (3.00)< 0.0012.00 (3.00)3.00 (4.00)3.00 (3.00)< 0.001
Smoking status< 0.001< 0.001< 0.001
Current smoker, n (%)934 (20.09)10,423 (23.47)1156 (20.91)10,201 (23.44)613 (20.81)864 (20.17)9880 (23.62)
Ex-smoker, n (%)183 (3.94)2529 (5.70)249 (4.50)2463 (5.66)116 (3.94)200 (4.67)2396 (5.73)
Never smoker, n (%)3531 (75.97)31,453 (70.83)4123 (74.58)30,861 (70.90)2217 (75.25)3220 (75.16)29,547 (70.65)
Smoking index, median (IQR), pack-years0.00 (0.00)0.00 (2.50)< 0.0010.00 (0.00)0.00 (2.30)< 0.0010.00 (0.00)0.00 (0.00)0.00 (2.50)< 0.001
Comorbidity
Coronary heart disease, n (%)123 (2.65)625 (1.41)< 0.001139 (2.51)709 (1.63)< 0.00180 (2.72)102 (2.38)566 (1.35)< 0.001
Stroke, n (%)41 (0.88)267 (0.60)0.00964 (1.16)231 (0.53)< 0.00130 (1.02)45 (1.05)220 (0.53)< 0.001
Hypertension, n (%)399 (8.58)3564 (8.03)0.184521 (9.42)3442 (7.91)< 0.001236 (8.01)448 (10.46)3279 (7.84)< 0.001
Diabetes, n (%)123 (2.65)1117 (2.52)0.589168 (3.04)1072 (2.46)0.01077 (2.61)137 (3.20)1026 (2.45)0.012
Malignancy, n (%)11 (0.24)52 (0.12)0.0307 (0.13)56 (0.13)0.9685 (0.17)8 (0.19)50 (0.12)0.410
Respiratory symptom
Cough, n (%)572 (12.31)3324 (7.49)< 0.001601 (10.87)3295 (7.57)< 0.001348 (11.81)477 (11.13)3071 (7.34)< 0.001
Sputum, n (%)770 (16.57)4826 (10.87)< 0.001802 (14.51)4794 (11.01)< 0.001476 (16.16)620 (14.47)4500 (10.76)< 0.001
Wheeze, n (%)399 (8.58)1697 (3.82)< 0.001410 (7.42)1686 (3.87)< 0.001249 (8.45)311 (7.26)1536 (3.67)< 0.001
Dyspnea, n (%)778 (16.74)3192 (7.19)< 0.001712 (12.88)3258 (7.49)< 0.001449 (15.24)492 (11.48)2929 (7.00)< 0.001
At least one symptom, n (%)1490 (32.06)8844 (19.92)< 0.0011494 (27.03)8840 (20.31)< 0.001869 (29.50)1246 (29.108)8219 (19.65)< 0.001
Lung function measures
FEV1, median (IQR), L2.56 (0.92)2.67 (0.95)< 0.0012.51 (0.92)2.68 (0.95)< 0.0012.52 (0.92)2.54 (0.93)2.68 (0.96)< 0.001
FEV1%pred, median (IQR), %100.92 (21.00)100.41 (19.00)0.333100.79 (21.00)100.41 (19.00)0.971101.20 (21.00)100.06 (20.00)100.42 (19.00)0.385
FEV1/FVC, median (IQR), %81.99 (9.60)82.19 (9.44)0.01281.41 (9.87)82.26 (9.40)< 0.00181.74 (9.76)81.59 (9.81)82.26 (9.41)< 0.001
HADS Score
Anxiety Score, median (IQR)9.00 (2.00)2.00 (4.00)< 0.0018.00 (4.00)2.00 (4.00)< 0.0019.00 (3.00)7.00 (3.00)1.00 (3.00)< 0.001
Depression Score, median (IQR)9.00 (5.00)1.00 (4.00)< 0.00110.00 (3.00)1.00 (3.00)< 0.00110.00 (2.00)8.00 (3.00)1.00 (3.00)< 0.001

Abbreviations: %, percentage; <, lower than; BMI, body mass index; COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 s; FEV1%pred, ratio of observed to predicted FEV1; FEV1/FVC, FEV1: forced vital capacity ratio; HADS, Hospital Anxiety and Depression Scale; IQR, interquartile range.

Characteristics of All Participants with Anxiety and Depression Abbreviations: %, percentage; <, lower than; BMI, body mass index; COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 s; FEV1%pred, ratio of observed to predicted FEV1; FEV1/FVC, FEV1: forced vital capacity ratio; HADS, Hospital Anxiety and Depression Scale; IQR, interquartile range. The prevalence of anxiety and depression in patients with COPD was higher than that in non-COPD participants (Figure 1). Of the patients with COPD, 10.79% had anxiety (8.20% mild anxiety, 2.36% moderate anxiety, and 0.23% severe anxiety) and 13.65% had depression (9.07% mild depression, 4.27% moderate depression, and 0.31% severe depression). Most cases of anxiety and depression were mild or moderate. In different stages of COPD, patients had an increased risk of anxiety and depression (Figure 2). In the GOLD III–IV group, 17.19% (12.76% mild anxiety, 4.17% moderate anxiety, and 0.26% severe anxiety) had anxiety (8.20% mild anxiety, 2.36% moderate anxiety, and 0.23% severe anxiety) and 21.87% (14.84% mild depression, 6.51% moderate depression, and 0.52% severe depression) had depression. When considering the coincidence of anxiety and depression, as shown in Figure 3, 7.08% of COPD patients (especially, patients with severe disease) had anxiety and depression concomitantly. In the GOLD I, GOLD II, and GOLD III–V groups, 5.98%, 7.91%, and 10.94%, respectively, had anxiety and depression concomitantly.
Figure 1

Prevalence of anxiety and depression in populations with COPD and non-COPD. The HADS subscale scores were used to define the severity of anxiety or depression, with a score of 8–10 denoting mild case, 11–14 moderate case and 15 or higher severe case.

Figure 2

Prevalence of anxiety and depression in patients with different stages of COPD. The HADS subscale scores were used to define the severity of anxiety or depression, with a score of 8–10 denoting mild case, 11–14 moderate case and 15 or higher severe case.

Figure 3

Coincidence of anxiety and depression in populations with COPD and non-COPD. This figure show the prevalence of subjects suffered from anxiety and depression concomitantly in COPD and non-COPD groups, as well as different GOLD stage groups.

Prevalence of anxiety and depression in populations with COPD and non-COPD. The HADS subscale scores were used to define the severity of anxiety or depression, with a score of 8–10 denoting mild case, 11–14 moderate case and 15 or higher severe case. Prevalence of anxiety and depression in patients with different stages of COPD. The HADS subscale scores were used to define the severity of anxiety or depression, with a score of 8–10 denoting mild case, 11–14 moderate case and 15 or higher severe case. Coincidence of anxiety and depression in populations with COPD and non-COPD. This figure show the prevalence of subjects suffered from anxiety and depression concomitantly in COPD and non-COPD groups, as well as different GOLD stage groups. COPD increased the risk of anxiety (OR 1.184, P = 0.001) in the crude model analysis (Table 2). After adjusting in models 1 and 2, COPD had no effect on anxiety. Patients in the GOLD II group did not have an increased risk of anxiety, whereas patients in the GOLD III–IV group had a higher risk of anxiety in the crude model and model 1, but not in model 2. Similar results were found in the multivariate analysis of depression (Table 2). Patients in the GOLD III–IV group still had a higher risk of depression after adjusting for respiratory symptoms.
Table 2

Multivariate Logistic Regression for Effect of COPD and Lung Function on Anxiety or Depression

Crude ModelMultivariate-Adjusted Model 1*Multivariate-Adjusted Model 2‡
OR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P value
Anxiety vs no Anxiety
COPD
 No111
 Yes1.184 (1.074,1.306)0.0011.107 (0.994,1.232)0.0640.906 (0.610,1.479)0.086
COPD grade
 Gold I111
 Gold II1.154 (0.946,1.408)0.1571.185 (0.962,1.459)0.1111.050 (0.848,1.300)0.656
 Gold III–IV2.021 (1.503.2.717)< 0.0011.925 (1.391,2.665)< 0.0011.361 (0.962 (1.925)0.082
Depression vs no Depression
COPD
 No111
 Yes1.301 (1.191,1.421)< 0.0011.009 (0.916,1.111)0.8560.899 (0.814,0.993)0.037
COPD grade
 Gold I111
 Gold II1.158 (0.968,1.385)0.1081.157 (0.961,1.393)0.1251.077 (0.891,1.302)0.443
 Gold III–IV2.007 (1.530,2.633)< 0.0011.744 (1.296,2.347)< 0.0011.412 (1.031,1.932)0.031

Notes: *Model 1: adjusted age, sex, BMI, marriagement, education, employment, family income, smoking index, stroke, coronary heart disease, hypertension, diabetes and malignancy. ‡Model 2: adjusted model 1+ respiratory symptoms (cough, sputum, wheeze, dyspnea).

Abbreviations: <, lower than; 95% CI, 95% Confidence Interval; COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease.

Multivariate Logistic Regression for Effect of COPD and Lung Function on Anxiety or Depression Notes: *Model 1: adjusted age, sex, BMI, marriagement, education, employment, family income, smoking index, stroke, coronary heart disease, hypertension, diabetes and malignancy. ‡Model 2: adjusted model 1+ respiratory symptoms (cough, sputum, wheeze, dyspnea). Abbreviations: <, lower than; 95% CI, 95% Confidence Interval; COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease. When comparing participants with anxiety or depression with participants with no anxiety or depression, COPD did not increase the risk of anxiety or depression after adjustment (Table 3). Patients in the GOLD III–IV COPD group had an increased risk of anxiety or depression in the crude and adjusted models.
Table 3

Multivariate Logistic Regression for Effect of COPD and Lung Function on Anxiety and Depression

Crude ModelMultivariate-Adjusted Model 1*Multivariate-Adjusted Model 2‡
OR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P value
Anxiety or Depression vs no Anxiety and no Depression
COPD
 No111
 Yes1.245 (1.126, 1.376)< 0.0011.069 (0.961, 1.189)0.2180.931 (0.834, 1.039)0.201
COPD grade
 Gold I111
 Gold II0.963 (0.782, 1.186)0.7230.961 (0.779,1.180)0.7140.870 (0.701, 1.079)0.205
 Gold III–IV2.067 (1.528, 2.796)< 0.0011.996 (1.464, 2.720)< 0.0011.502 (1.078, 2.093)0.016
Coincidence of Anxiety and Depression vs no Anxiety and no Depression
COPD
 No111
 Yes1.272 (1.131, 1.432)< 0.0011.062 (0.932, 1.209)0.3680.887 (0.775, 1.015)0.08
COPD grade
 Gold I111
 Gold II1.308 (1.030, 1.658)0.0281.331 (1.038, 1.706)0.0241.200 (0.930, 1.547)0.16
 Gold III–IV2.179 (1.515, 3.133)< 0.0011.978 (1.328, 2.948)0.0011.477 (0.968, 2.252)0.07

Notes: *Model 1: adjusted age, sex, BMI, marriagement, education, employment, family income, smoking index, stroke, coronary heart disease, hypertension, diabetes and malignancy. ‡Model 2: adjusted model 1+ respiratory symptoms (cough, sputum, wheeze, dyspnea).

Abbreviations: <, lower than; 95% CI, 95% confidence Interval; COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease.

Multivariate Logistic Regression for Effect of COPD and Lung Function on Anxiety and Depression Notes: *Model 1: adjusted age, sex, BMI, marriagement, education, employment, family income, smoking index, stroke, coronary heart disease, hypertension, diabetes and malignancy. ‡Model 2: adjusted model 1+ respiratory symptoms (cough, sputum, wheeze, dyspnea). Abbreviations: <, lower than; 95% CI, 95% confidence Interval; COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease. When comparing participants with anxiety as well as depression with participants with no anxiety or depression, COPD did not increase the risk of coincidence in both models (Table 3). Patients in the GOLD II and GOLD III–IV groups had a high risk of coincidence of anxiety and depression in the crude model and in model 1. The risk was not significant after adjusting for respiratory symptoms.

Discussion

The CPH study is the largest national pulmonary health survey in China, using a multistage stratified cluster sampling procedure in 10 provinces across the country to evaluate the disease burden of common respiratory diseases, including COPD and asthma. In addition to investigating the prevalence and risk factors of respiratory diseases, comorbidities, including anxiety and depression, were assessed using a standard questionnaire. In this study, the prevalence of anxiety was 10.79%, while that of depression was 13.65% in patients with COPD. In terms of coincidence, 7.08% of patients with COPD had concomitant anxiety and depression. When adjusted for factors that may influence mental health, including age, sex, marital status, education, income, and common comorbidities, COPD did not increase the risk of anxiety or depression; however, patients with severe lung function impairment (GOLD stage III–IV) had a higher risk of anxiety, depression, and concomitant anxiety and depression. When considering respiratory symptoms, patients in the GOLD III–IV group had a higher risk of depression or at least one of anxiety and depression. To our knowledge, this is the only study adjusting for marital status, education level, and income in the analysis of COPD and mental health status. Among the general adult population in China, the prevalence of anxiety and depression were 5.3% and 7.2%, respectively, which were assessed by the HADS questionnaire at nearly the same time as the CPH study.18 The prevalence of anxiety and depression was lower than that in previous studies conducted in COPD patients. A pooled analysis including 5552 patients with COPD and 5211 controls revealed that the prevalence of depression in COPD was 27.1% (25.9–28.3%).19 The reason for the discrepancy could be the difference in sample size, source of participants, screening tools, and COPD severity. Studies including subjects from primary care settings and tertiary care hospitals reported a higher prevalence of depression (15.2–35.7%) because the subjects had severe lung disease.18,20–22 Another study conducted in the general population using the Center for Epidemiological Studies-Depression (CES-D) questionnaire as a screening tool reported a higher depression prevalence of 21%, which may be partially explained by the fact that 43.4% of the subjects had COPD of GOLD III–IV severity.23 Liu et al24 conducted a survey in hospitals in different areas of China using HADS as the screening tool and found that the anxiety prevalence was 8.8% and depression prevalence was 15.6%, and they used moderate to severe symptoms to define anxiety and depression. Willgoss et al8 investigated anxiety disorders in COPD patients in a systemic review including 10 studies and found that the prevalence of clinical anxiety ranged from 10–55% among inpatients and 13–46% among outpatients with COPD. Although the included studies had small sample sizes, they reported the prevalence of specific anxiety disorders, including generalized anxiety disorder, panic disorder, specific phobia, and social phobia. Specific depressive disorders and other anxiety disorders, including substance-induced anxiety disorder and obsessive compulsive disorder, which are common in the general population,5 have not been fully investigated in COPD patients. The use of different screening instruments is an important factor, among others, that might have caused the heterogeneity across results in the included studies. Apart from the HADS questionnaire used in our study, there are a variety of self-reported questionnaires, including GDS,25 SDS (Zung),21 and CES-D.20,23,26 Although widely used, these questionnaires have not been fully validated in patients with COPD, and have not been compared to the DSM-SCID5 used in structured interviews by psychiatrists. The factors contributing to the development of anxiety and depression in COPD have not been fully elucidated. It is plausible to assume that patients with COPD and severe lung function impairment may have a higher risk of anxiety and depression because they may have higher smoking exposure, more respiratory symptoms, and more comorbidities. However, the effect of lung function on the risk of anxiety and depression is controversial. A previous study including 118 patients with COPD found that there was no difference in generalized psychological distress as well as moderate to severe depression between patients in the GOLD I–II group and those in the GOLD III–IV group.13 Tetikkurt et al27 found that higher GOLD stages were associated with anxiety and depression, while FEV1% pred was not significantly associated with HADS score. They also found that dyspnea and reduced exercise capacity were significantly related to anxiety and depression symptoms. These findings suggest that lung function cannot fully explain the mental status of patients with COPD. Respiratory symptoms and other factors have a psychological impact on patients with COPD. In our study, patients in the GOLD III–IV group did not have an increased risk of anxiety or concomitant anxiety and depression after adjusting for respiratory symptoms and other factors. However, the risk of depression significantly increased even after adjustment, suggesting that there is an intrinsic association between depression and impairment of lung function. The exact mechanisms linking anxiety and depression with COPD remain unclear; however, the relationship between them is partially explained by confounding factors, such as smoking, exercise capacity, and disease severity. There is evidence suggesting that chronic inflammatory factors, such interleukin-6 and C-reactive protein, may be associated with depressive symptoms in patients with COPD.28,29 It is important to recognize anxiety and depression in patients with COPD. Emerging evidence suggests that pulmonary rehabilitation and mind-body exercise can improve the symptoms of anxiety and depression.30,31 The benefits of psychological intervention for anxiety and depression in patients with COPD in terms of healthcare resource use and effective self-management of COPD have been evaluated in randomized controlled trials.32 Although this is the largest study assessing the prevalence of anxiety and depression in Chinese patients with COPD, it has several limitations. First, although the HADS questionnaire has been widely used as a screening tool in other studies, it did not provide a reliable clinical diagnosis of anxiety or depressive disorders. Second, possible confounders, such as previous diagnosis of anxiety and depression, medications, exercise measurements, and inflammatory factors, were not evaluated in our study. Third, we could not assess any possible causal links between lung function and depression because of the cross-sectional nature of the study.

Conclusion

Our study found that anxiety and depression are prevalent in patients with COPD in China. Severe lung function impairment was independently associated with a significantly higher risk of depression. Psychological interventions for anxiety and depression should be evaluated in future studies.
  31 in total

1.  Prevalence of mental disorders in China: a cross-sectional epidemiological study.

Authors:  Yueqin Huang; Yu Wang; Hong Wang; Zhaorui Liu; Xin Yu; Jie Yan; Yaqin Yu; Changgui Kou; Xiufeng Xu; Jin Lu; Zhizhong Wang; Shulan He; Yifeng Xu; Yanling He; Tao Li; Wanjun Guo; Hongjun Tian; Guangming Xu; Xiangdong Xu; Yanjuan Ma; Linhong Wang; Limin Wang; Yongping Yan; Bo Wang; Shuiyuan Xiao; Liang Zhou; Lingjiang Li; Liwen Tan; Tingting Zhang; Chao Ma; Qiang Li; Hua Ding; Hongchun Geng; Fujun Jia; Jianfei Shi; Shiliang Wang; Ning Zhang; Xinbai Du; Xiangdong Du; Yue Wu
Journal:  Lancet Psychiatry       Date:  2019-02-18       Impact factor: 27.083

2.  Determinants of depression in the ECLIPSE chronic obstructive pulmonary disease cohort.

Authors:  Nicola A Hanania; Hana Müllerova; Nicholas W Locantore; Jørgen Vestbo; Michael L Watkins; Emiel F M Wouters; Stephen I Rennard; Amir Sharafkhaneh
Journal:  Am J Respir Crit Care Med       Date:  2010-10-01       Impact factor: 21.405

3.  Anxiety and depression in COPD patients: The roles of gender and disease severity.

Authors:  Fabiano Di Marco; Massimo Verga; Manuela Reggente; Francesca Maria Casanova; Pierachille Santus; Francesco Blasi; Luigi Allegra; Stefano Centanni
Journal:  Respir Med       Date:  2006-03-13       Impact factor: 3.415

4.  Can the Hospital Anxiety and Depression (HAD) Scale be used on Chinese elderly in general practice?

Authors:  C L Lam; P C Pan; A W Chan; S Y Chan; C Munro
Journal:  Fam Pract       Date:  1995-06       Impact factor: 2.267

5.  Depressive disorders in older patients with chronic obstructive pulmonary disease (COPD) in Hong Kong: a controlled study.

Authors:  Tak-Shun Wong; Yu-Tao Xiang; Joshua Tsoh; Gabor S Ungvari; Fanny W S Ko; David S C Hui; Helen F K Chiu
Journal:  Aging Ment Health       Date:  2013-11-21       Impact factor: 3.658

6.  The association of anxiety and depression with mortality in a COPD cohort. The HUNT study, Norway.

Authors:  Sigrid Anna Aalberg Vikjord; Ben Michael Brumpton; Xiao-Mei Mai; Lowie Vanfleteren; Arnulf Langhammer
Journal:  Respir Med       Date:  2020-08-05       Impact factor: 3.415

7.  Comorbid Anxiety and Depression, Though Underdiagnosed, Are Not Associated with High Rates of Low-Value Care in Patients with Chronic Obstructive Pulmonary Disease.

Authors:  Matthew F Griffith; Hung-Yuan P Chen; David B Bekelman; Laura C Feemster; Laura J Spece; Lucas M Donovan; David H Au; Evan P Carey
Journal:  Ann Am Thorac Soc       Date:  2021-03

Review 8.  Overview of the prevalence, impact, and management of depression and anxiety in chronic obstructive pulmonary disease.

Authors:  Maria Panagioti; Charlotte Scott; Amy Blakemore; Peter A Coventry
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2014-11-13

9.  Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors:  Maigeng Zhou; Haidong Wang; Xinying Zeng; Peng Yin; Jun Zhu; Wanqing Chen; Xiaohong Li; Lijun Wang; Limin Wang; Yunning Liu; Jiangmei Liu; Mei Zhang; Jinlei Qi; Shicheng Yu; Ashkan Afshin; Emmanuela Gakidou; Scott Glenn; Varsha Sarah Krish; Molly Katherine Miller-Petrie; W Cliff Mountjoy-Venning; Erin C Mullany; Sofia Boston Redford; Hongyan Liu; Mohsen Naghavi; Simon I Hay; Linhong Wang; Christopher J L Murray; Xiaofeng Liang
Journal:  Lancet       Date:  2019-06-24       Impact factor: 79.321

10.  Systemic inflammation, depression and obstructive pulmonary function: a population-based study.

Authors:  Yanxia Lu; Lei Feng; Liang Feng; Ma Shwe Nyunt; Keng Bee Yap; Tze Pin Ng
Journal:  Respir Res       Date:  2013-05-15
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