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. 2024 Apr 1;19(1):951. doi: 10.5826/mrm.2024.951

Prevalence and risk factors of depression in patients with chronic obstructive airway disease: a tertiary care hospital, outpatient setting

Seksan Chaisuksant 1, Panupong Suwannatat 1, Kittisak Sawanyawisuth 2,
PMCID: PMC11023686  PMID: 38606670

Abstract

Background

Chronic obstructive airway disease (COPD) has been found to be associated with depression. An overlap of COPD and depression may cause poor quality of life and an increase in mortality. A meta-analysis found that the prevalence and risk factors of depression in patients with COPD have high heterogeneity and are limited in tertiary care hospital outpatient settings. This study thus aimed to evaluate the prevalence and risk factors of depression in patients with COPD using personal data in a tertiary care hospital outpatient setting.

Methods

This cross-sectional study included adult patients who were diagnosed with COPD according to the GOLD guidelines, had stable functional status within the past 4 weeks with the same treatment regimen, and had no history of other serious medical or surgical illness. A diagnosis of depression was made according to a score of 11 or higher on the hospital anxiety and depression scale (HADS). The prevalence and predictors of depression were then computed.

Results

The study enrolled and evaluated 150 patients with COPD, out of which 6 (4%) had depression. While the predictive model for depression comprised two factors, only severity of COPD was independently associated with depression. The adjusted odds ratio of severity of COPD was 5.20 (95% confidence interval of 1.75, 15.42; p = 0.003).

Conclusion

The prevalence of depression in patients with COPD in a tertiary care outpatient setting was low, at 4%. According to the study’s comprehensive assessment, severity of COPD was the only factor associated with depression in patients with COPD.

Keywords: COPD, depression, predictor, severity

Introduction

Chronic obstructive airway disease (COPD), mainly caused by smoking, is a respiratory disease related to several diseases such as obstructive sleep apnea, and psychiatric diseases [15]. In one study, compared with 39,431 controls, 39,587 patients with COPD had a higher risk of depression, with an odds ratio of 2.81 (95% confidence interval of 1.69, 4.66) [2]. A systematic review including three studies found that patients with COPD who had depression had a significantly lower quality of life (pooled r = 0.48; p < 0.001) at one year follow up [6]. Several studies have found that depression worsens the quality of life in patients with COPD in the mental health category [7,8]. Additionally, being depressed is associated with uncontrolled COPD, with an odds ratio of 2.2 (95% confidence interval of 1.7, 2.8) [9].

The prevalence of depression in patients with COPD has been reported to be 24.6% (95% confidence interval of 20.0–28.6), with a range of 0–42% [1012]. In patients with COPD, being depressed increased the risk of COPD exacerbation by 2.06 times (95% confidence interval 1.28, 3.31) and mortality by 1.27 times, as well as poor quality of life [13]. Early screening and treatment for depression may be crucial to improve the quality of life and outcomes of patients with COPD [11]. On the other hand, patients with COPD have a 2.81 higher chance of being depressed than matched controls (95% confidence interval 1.69, 4.66) [11]. A database study from Taiwan found that older age, female sex, income, and hospitalization were risk factors for depression in patients with COPD [14]. However, this study did not include personal risk factors such as symptoms or severity of COPD. Several studies have found that personal factors are related with depression, including living alone, using home oxygen therapy, and the COPD Assessment Test (CAT) [1517]. Having a CAT score of more than 20 was found to increase risk of depression by 7.88 times [17]. A meta-analysis and review found that the prevalence and risk factors of depression in patients with COPD have large heterogeneity (I2 of 89%) within the limited setting of tertiary care hospitals [11,18]. Given this background, this study aimed to evaluate the prevalence and risk factors of depression in patients with COPD using personal data in a tertiary care hospital outpatient setting.

Methods

This cross-sectional study was conducted at a COPD clinic at Khon Kaen Hospital in Khon Kaen, Thailand. The inclusion criteria were adult patients who were diagnosed with COPD according to the GOLD guidelines, had stable functional status within the past 4 weeks with the same treatment regimen, and had no history of other serious medical or surgical illnesses. Those who had been previously diagnosed with depression, had been treated at the clinic for less than 2 weeks, had any active medical, surgical, or psychiatric diseases, or had been treated with lung surgery or lung transplant were excluded. The study period was between February and March 2020. This study was a part of the psychiatric conditions in patients with COPD project, IRB approval no. KEF60208, at Khon Kaen Hospital, Thailand.

Eligible patients were asked to complete a questionnaire. The questionnaire comprised three parts: baseline characteristics, severity of COPD, and a depression questionnaire. Baseline characteristics included age, sex, education, occupation, income, smoking status, living status, onset of COPD diagnosis, comorbid diseases, and body mass index. Smoking status was categorized as non-smoker, current smoker, or previous smoker. The non-smoker status was defined as having never smoked or having smoked fewer than 100 cigarettes in a respondent’s lifetime, while the current smoker status was defined as having smoked more than 100 cigarettes during the respondent’s lifetime and still smoking. Those who had smoked more than 100 cigarettes during their lifetime but currently did not were categorized as previous smokers.

Severity of COPD was divided into group A, B, C, and D according to the number of exacerbations per year, number of exacerbations requiring hospitalization per year, dyspnea according to the modified medical research council dyspnea score (mMRC) [19]. Data regarding knowledge about pulmonary rehabilitation was also collected. Finally, the third part of the questionnaire was the hospital anxiety and depression scale (HADS) [20].This questionnaire comprised 7 items on a 3-point Likert scale. The total possible score of the questionnaire for anxiety or depression was 21 points. A score of 11 or more indicates a valid case of depression, with a sensitivity of 85.71% for the validated Thai version of the HADS [21,22]. Additionally, clinical data regarding treatment and COPD status were recorded from participants’ medical charts. The primary outcome of this study was the presence of depression.

To calculate sample size, the study took as a baseline the previously reported 30% prevalence of depression in patients with COPD [23]. There were 240 patients treated at the COPD clinic, so using a confidence interval of 95%, the required sample size was 138 patients.

For statistical analysis, eligible patients were divided into two groups according to the outcome: those with depression and those without. The studied variables were reported as mean (SD) for numerical variables and number (percentage) for categorical variables. Inferential statistics were used to compare the studied variables between those with depression to those without. Factors associated with depression were calculated by using logistic regression analysis. A univariate logistic regression analysis was used to calculate the p value and unadjusted odds ratio for the studied variables. Factors were input into the multiple logistic regression analysis using the backward method to provide the best model [24]. The factors remaining in the predictive model were those with a p of less than 0.20. All analyses were performed using STATA software (College Station, Texas, USA).

Results

There were 151 patients with COPD who met the study criteria. One patient was excluded due to having pulmonary tuberculosis. In total, 150 patients with COPD were enrolled and evaluated. There were 6 patients (4.0%) who had depression. Only one factor was significantly different between those with and without depression (Table 1): severity of COPD. The depression group had a significantly higher proportion of patients with grade-D COPD than those without depression. Grade-D severity of COPD was found more in those with depression than those without (50.0% vs 0.0%; p = 0.003). Notably, a smaller proportion of those with depression lived with their family compared to those without depression (66.7% vs. 91.0%; p = 0.052).

Table 1.

Baseline characteristics, severity, and treatment of patients with chronic obstructive pulmonary disease (COPD) categorized by presence of depression.

Factors No depression
n = 144
Depression
n = 6
p
Mean (SD) age, years 62.6 (4.8) 66.2 (6.1) 0.913

Male sex 134 (93.0) 5 (83.3) 0.801

Education: college or higher 8 (5.5) 0 0.613

Occupation: farmers 40 (27.8) 1 (16.7) 0.258

Income, Baht per month
 < 15,000 134 (93.0) 6 (100) 0.930
 15,000–30,000 8 (5.6) 0
 30,000–50,000 1 (0.7) 0
 > 50,000 1 (0.7) 0

Smoking status
 Never 14 (9.7) 1 (16.7) 0.267
 Current smokers 2 (1.4) 1 (16.7)
 Previous smokers 128 (88.9) 4 (66.7)

Living status
 With family 131 (91.0) 4 (66.7) 0.052
 Alone 13 (9.0) 2 (33.3)

Mean (SD) age onset of COPD, years 59.4 (9.1) 61.0 (7.6) 0.751

Co-morbid diseases
 Hypertension 31 (21.5) 2 (33.3) 0.464
 Dyslipidemia 2 (1.4) 0 0.771
 Diabetes mellitus 11 (7.6) 0 0.482
 Gout 9 (6.2) 0 0.528
 Chronic kidney disease 2 (1.4) 0 0.771

Body mass index, kg/m2
 <18.5 29 (20.1) 0 0.205
 18.5–22.9 71 (49.3) 6 (100)
 23–24.9 18 (12.5) 0
 25–29.9 21 (14.6) 0
 > 30 5 (3.5) 0

Severity of COPD
 A 59 (47.9) 1 (16.7) 0.003
 B 57 (39.6) 2 (33.3)
 C 18 (12.5) 0
 D 0 3 (50.0)

Current medication
 Salmeterol/fluticazone 129 (89.6) 5 (83.3) 0.627
 Budesonide 1 (0.7) 0 0.838
 Tiotropium 6 (4.2) 2 (33.3) 0.304
 Berodual 92 (63.9) 3 (50.0) 0.956
 Salbutamol 4 (2.8) 1 (16.7) 0.063
 Theophylline 88 (61.1) 4 (66.7) 0.784

Pulmonary rehabilitation 74 (51.4) 3 (50.0) 0.310

Note. Data presented as number (percentage) unless indicated otherwise.

The predictive model for depression thus comprised two remaining factors: living with family and severity of COPD (Table 2). However, only severity of COPD was independently associated with depression. The adjusted odds ratio of severity of COPD was 5.20 (95% confidence interval of 1.75, 15.42; p = 0.003). Living with family members had an adjusted odds ratio of 4.30 (95% confidence interval of 0.53, 34.50; p = 0.169).

Table 2.

Factors associated with depression in patients with chronic obstructive pulmonary disease (COPD) by logistic regression analysis.

Factors Unadjusted odd ratio (95% confidence interval) p Adjusted Odd ratio (95% confidence interval) p
Living with family 5.03 (0.84–30.19) 0.077 4.30 (0.53 – 34.50) 0.169
Severity of COPD 5.54 (1.89 – 16.25) 0.002 5.20 (1.75 – 15.42) 0.003

Note. Data univariate association as determined by logistic regression model backward method: sex, age, body mass index, education, living status, smoking status, onset of COPD, co-morbid diseases, current medication, severity of COPD, and pulmonary rehabilitation.

Discussion

This study found that only 4% of patients with COPD met the criteria for depression in a tertiary care hospital outpatient setting. The low rate of depression in patients with COPD in this setting may be explained by the diagnostic criteria. This study used a cutoff point of 11 on the HADS to indicate depression, which has a relatively low sensitivity, at 56.0%, but high specificity, at 92.1% [25]. When using a cutoff point of 8 on the HADS, a study from China found the prevalence of depression among COPD patients to be 13.65% [26]. However, the original study of HADS suggested using a score of 11 to indicate definite cases of depression [21]. Interestingly, a meta-analysis found that the prevalence of depression in patients with COPD ranged from 0% to 42%, with a heterogeneity level of 89% [12,18].

This study found that only severity of COPD was an independent factor for being depressed, with an adjusted odds ratio of 5.20 (Table 2). A population-based study from China found that patients with stage III–IV COPD were significantly affected with depression (p < 0.001) [26]. The present study used a more comprehensive assessment of COPD: the ABCD assessment tool. Half of the patients who met the criteria for depression were in category D (Table 2). The Chinese study explained that COPD patients may experience depression due to poor lung function. This present study added that depression in patients with COPD may be due to poor lung function, the number of exacerbations, and COPD symptoms. Another study found that high CAT score or symptom score (included in the ABCD tool) is associated with depression in patients with COPD [17].

As there are heterogeneities of risk factors for being depressed in patients with COPD [18], we compared our study with other two studies conducted in tertiary care settings [27,28]. Both of these previous studies found that symptoms were associated with depression. In one study, the depressed group had significantly higher dyspnea scores (2.6 vs 1.7; p < 0.001) than the non-depressed group [27], while another study found that the daily living scale had an adjusted odds ratio of 1.1 (95% confidence interval of 1.02, 1.2) for being depressed. Once again, the present study showed a more comprehensive assessment related to depression in patients with COPD. The two previous studies also found that female sex was associated with depression. Female patients had a higher prevalence of depression compared with male patients (8.8% vs 1.3%; p = 0.044). However, we did not find this association. We input sex in the backward logistic regression analysis, which is more robust than the descriptive statistics used in the previous study, and sex was not retained in the predictive model (Table 2).

There are some limitations in this study. First, we used a high cutoff point (11 on the HADS) to ensure a definite depression diagnosis. This choice may have resulted in a low prevalence of depression in this study. However, this cutoff point has a high sensitivity, at 85.71% [22]. Even with the small numbers of patients with depression, a significant predictor for depression was still found, indicating a true predictor. Second, the results of this study may not apply to other study populations, as the study setting was a tertiary care hospital. Finally, certain comorbid diseases or treatments were not considered, such as obstructive sleep apnea [2932].

Conclusion

In conclusion, the prevalence of depression in patients with COPD in a tertiary care outpatient setting was low, at 4%. This study’s comprehensive assessment identified severity of COPD as the only factor associated with depression in patients with COPD. Further studies are required to confirm the results of this study.

Footnotes

Contributions: SC and PS participated in the design of the study, the facilitation for data collection and interpretation of data. SC and KS analyzed data. SC contributed to quality control of data; drafted the manuscript, while all authors have made contributions to revisions of the manuscript. All the authors read and approved the final version of the manuscript and agreed to be accountable for all aspects of the work.

Ethics approval and consent to participate: The study protocol was approved by the institutional board review, Khon Kaen Hospital, Khon Kaen, Thailand (KEF60208). All participants signed a written informed consent to participate prior to the study.

Consent for publication: Written informed consent for the publication of study results was obtained from all participants.

Conflict of interest: The authors declare that they have no competing interests, and all authors confirm accuracy.

Publisher’s note: all claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Funding: None.

Availability of data and material

The data used to support the findings of this study are available from the corresponding author upon request.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.


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