Depressive symptoms and chronic lung disease in middle-aged and older Chinese adults: Prospective bidirectional association and mediation analysis

Association of grip strength, sleep duration, and comorbidities with depressive symptoms in middle-aged and older patients with chronic lung diseases: a cross-sectional network analysis based on CHARLS data

Background

Depressive symptoms are prevalent among patients with chronic lung diseases (CLDs) and adversely impact their quality of life. This study aims to explore the association of grip strength (GS), sleep duration, and comorbidities with depressive symptoms in patients with CLDs, with an in-depth analysis of the underlying mechanisms.

Methods

Based on data from the China Health and Retirement Longitudinal Study (CHARLS), this study included participants aged 45 and above with diagnosed CLDs. Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). Binary logistic regression, subgroup analysis, and network analysis were conducted to examine the intricate relationships between GS, sleep duration, comorbidities, and specific depressive symptoms.

Results

Among the 1,427 participants, 39.8% exhibited depressive symptoms. Adjusted analyses revealed that GS (OR = 0.964, p < 0.001) and sleep duration (OR = 0.808, p < 0.001) were negatively associated with depressive symptoms, whereas the number of comorbid chronic diseases (OR = 1.189, p < 0.001) showed a significant positive correlation with depressive symptoms. Subgroup analyses demonstrated variations in these relationships across different demographic characteristics and lifestyle factors. Network analysis pinpointed "depressed" as the core symptom, with "annoyed," "exhausted," and "lonely" as secondary core symptoms. The robust associations between specific factors and depressive symptoms (GS with "annoyed," sleep and comorbid chronic diseases with "depressed") suggested potential targets for interventions.

Conclusion

This study underscores the complex interplay of GS, sleep duration, and comorbidities with depressive symptoms in patients with CLDs. These findings offer new perspectives for improving the mental health of this vulnerable population.

Depression in childhood to early adulthood and respiratory health in early adulthood

BACKGROUND

Both depression and respiratory disease are common today in young populations. However, little is known about the relationship between them.

AIMS

This study aims to explore the association between depression in childhood to early adulthood and respiratory health outcomes in early adulthood, and the potential underlying mechanisms.

METHOD

A prospective study was conducted based on the Swedish BAMSE (Barn, Allergi, Miljö, Stockholm, Epidemiologi [Children, Allergy, Milieu, Stockholm, Epidemiology]) birth cohort (n = 4089). We identified clinically diagnosed depression through the dispensation of antidepressants, using national register data confirmed by self-reported diagnosis. At the 24-year follow-up, respiratory health was assessed via questionnaires and clinical evaluation. Metabolic and inflammatory profiles were analysed to explore potential mechanisms.

RESULTS

Among the 2994 participants who provided study data, 403 (13.5%) had depression at any time point from around age 10 to 25 years. Depression was associated with higher risks of any chronic bronchitis symptoms (odds ratio = 1.58, 95% CI 1.21-2.06) and respiratory symptoms (odds ratio = 1.41, 95% CI 1.11-1.80) in early adulthood, independent of body mass index (BMI) and smoking status. Compared to individuals without depression, those with depression had a higher fat mass index (FMI (β = 0.48, 95% CI 0.22-0.74)) and increased blood levels of fibroblast growth factor 21 and Interleukin-6 in early adulthood. These markers together with FMI were found to partly mediate the association between depression and respiratory symptoms (total mediation proportion: 19.8 and 15.4%, respectively, P < 0.01).

CONCLUSIONS

Depression in childhood to early adulthood was associated with an increased risk of respiratory ill-health in early adulthood, independently of smoking. Metabolic and inflammatory dysregulations may underlie this link.

The association between preserved ratio impaired spirometry and adverse outcomes of depression and anxiety: evidence from the UK Biobank

BACKGROUND

Preserved ratio impaired spirometry (PRISm) is a new lung function impairment phenotype and has been recognized as a risk factor for various adverse outcomes. We aimed to examine the associations of this new lung function impairment phenotype with depression and anxiety in longitudinal studies.

METHODS

We included 369 597 participants from the UK Biobank cohort, and divided them into population 1 without depression or anxiety and population 2 with depression or anxiety at baseline. Cox proportional hazard models were performed to evaluate the associations of lung function impairment phenotype with adverse outcomes of depression and anxiety, as well as their subtypes.

RESULTS

At baseline, 38 879 (10.5%) participants were diagnosed with PRISm. In population 1, the adjusted hazard ratios (HRs) for PRISm (v. normal spirometry) were 1.12 (95% CI 1.07-1.18) for incident depression, and 1.11 (95% CI 1.06-1.15) for incident anxiety, respectively. In population 2, PRISm was a risk factor for mortality in participants with depression (HR: 1.46; 95% CI 1.31-1.62) and anxiety (HR: 1.70; 95% CI 1.44-2.02), compared with normal spirometry. The magnitudes of these associations were similar in the phenotypes of lung function impairment and the subtypes of mental disorders. Trajectory analysis showed that the transition from normal spirometry to PRISm was associated with a higher risk of mortality in participants with depression and anxiety.

CONCLUSIONS

PRISm and airflow obstruction have similar risks of depression and anxiety. PRISm recognition may contribute to the prevention of depression and anxiety.

Decomposition Analysis of Depressive Symptom Differences Among Older Adults With Hypertension Between Urban and Rural Areas: Cross-Sectional Study

Background

Hypertension is the most prevalent chronic disease among China's older population, which comprises a growing proportion of the overall demographic. Older individuals with chronic diseases have a higher risk of developing depressive symptoms than their healthy counterparts, as evidenced in China's older population, where patients with hypertension exhibit varying rates of depression depending on residing in urban or rural areas.

Objective

This study aimed to investigate factors influencing and contributing to the disparities in depressive symptoms among older urban and rural patients with hypertension in China.

Methods

We used a cross-sectional study design and derived data from the 8th Chinese Longitudinal Health Longevity Survey of 2018. The Fairlie model was applied to analyze the factors contributing to disparities in depressive symptoms between urban and rural older populations with hypertension.

Results

The sample size for this study was 5210, and 12.8% (n=669) of participants exhibited depressive symptoms. The proportions of depressive symptoms in rural and urban areas were 14.1% (n=468) and 10.7% (n=201), respectively. In rural areas, years of education (1-6 years: odds ratio [OR] 0.68, 95% CI 1.10-1.21; ≥7 years: OR 0.47, 95% CI 0.24-0.94), alcohol consumption (yes: OR 0.52, 95% CI 0.29-0.93), exercise (yes: OR 0.78, 95% CI 0.56-1.08), and sleep duration (6.0-7.9 hours: OR 0.29, 95% CI 0.17-0.52; 8.0-9.9 hours: OR 0.24, 95% CI 0.13-0.43; ≥10.0 hours: OR 0.22, 95% CI 0.11-0.41) were protective factors against depressive symptoms in older adults with hypertension, while gender (female: OR 1.94, 95% CI 1.33-2.81), self-reported income status (poor: OR 3.07, 95% CI 2.16-4.37), and activities of daily living (ADL) dysfunction (mild: OR 1.69, 95% CI 1.11-2.58; severe: OR 3.03, 95% CI 1.46-6.32) were risk factors. In urban areas, age (90-99 years: OR 0.37, 95% CI 0.16-0.81; ≥100 years: OR 0.19, 95% CI 0.06-0.66), exercise (yes: OR 0.33, 95% CI 0.22-0.51), and sleep duration (6.0-7.9 hours: OR 0.27, 95% CI 0.10-0.71; 8.0-9.9 hours: OR 0.16, 95% CI 0.06-0.44; ≥10.0 hours: OR 0.18, 95% CI 0.06-0.57) were protective factors, while years of education (1-6 years: OR 1.91, 95% CI 1.05-3.49), self-reported income status (poor: OR 2.94, 95% CI 1.43-6.08), and ADL dysfunction (mild: OR 2.38, 95% CI 1.39-4.06; severe: OR 3.26, 95% CI 1.21-8.76) were risk factors. The Fairlie model revealed that 91.61% of differences in depressive symptoms could be explained by covariates, including years of education (contribution 63.1%), self-reported income status (contribution 13.2%), exercise (contribution 45.7%), sleep duration (contribution 20.8%), ADL dysfunction (contribution -9.6%), and comorbidities (contribution -22.9%).

Conclusions

Older patients with hypertension in rural areas had more depressive symptoms than their counterparts residing in urban areas, which could be explained by years of education, self-reported income status, exercise, sleep duration, ADL dysfunction, and comorbidities. Factors influencing depressive symptoms had similarities regarding exercise, sleep duration, self-reported income status, and ADL dysfunction as well as differences regarding age, gender, years of education, and alcohol consumption.

Emotional Distress and Physical Activity Engagement in U.S. Veterans With Chronic Obstructive Pulmonary Disease: A Qualitative Study

BACKGROUND

Physical activity is recommended as part of guideline-based care for managing chronic obstructive pulmonary disease (COPD) at all stages of the disease. However, physical activity interventions are less effective in individuals with co-occurring emotional distress (i.e., depression and/or anxiety symptoms). Interventions that dually promote improved physical and mental health in COPD are needed. The first step for intervention development is understanding individuals' experience of these factors.

PURPOSE

To understand the experience of emotional distress in U.S. Veterans diagnosed with COPD and to explore how emotional distress impacts physical activity engagement.

METHODS

Structured interviews informed by the cognitive and behavioral models of psychopathology were conducted with 29 United States Veterans with COPD (89.66% male, age 67.72 ± 6.55 years, 93.10% White) at the VA Boston Healthcare System. Interviews were audio recorded, transcribed, and underwent thematic analysis.

RESULTS

Three major themes encapsulating 17 codes emerged through thematic analysis: (i) the experience of emotional distress in Veterans with COPD; (ii) the complex relationship between emotional distress, physical activity engagement, and COPD; (iii) contextual and personal factors.

CONCLUSIONS

Veterans' interpretation of their COPD symptoms as unpredictable and uncontrollable and COPD-related physical limitations influenced their experience of emotional distress, while the experience of emotional distress both promoted and deterred physical activity engagement. Veterans were motivated to engage in physical activity despite experiencing emotional distress when they faced a responsibility in daily life. They identified motivational strategies and self-regulation techniques to manage emotional distress and to foster physical activity.

Epidemiological characteristics of asthma-COPD overlap, its association with all-cause mortality, and the mediating role of depressive symptoms: evidence from NHANES 2005-2018

BACKGROUND

Asthma-COPD overlap (ACO) is a distinct and intricate respiratory condition that requires specific attention and management. The objective of this cohort study was to examine the epidemiological characteristics of ACO, explore the association between ACO and all-cause mortality, and investigate the potential mediating role of depressive symptoms in this association.

METHODS

This retrospective cohort study used data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 and National Death Index (NDI) 2019. A total of 22,745 participants were included: 705 with ACO, 2352 with asthma-only, 853 with COPD-only, and 18,835 without asthma or COPD. The non-ACO group (N = 22,040) referred to the individuals without ACO. Statistical tests were employed to assess differences in some characteristics between the ACO group and the other groups. Cox proportional hazards models were applied to evaluate the relationship between ACO and all-cause mortality, estimating hazard ratios (HR) with 95% confidence intervals. Mediation analysis was conducted to investigate the potential mediating effects of depressive symptoms on the association of ACO with all-cause mortality.

RESULTS

The prevalence of ACO was 3.10% in our study population. Compared to the non-ACO participants, the ACO participants exhibited significantly different characteristics, including higher age, a lower family income-to-poverty ratio, a higher body mass index, higher rates of comorbidities i.e., hypertension, diabetes, hyperlipidemia, cardiovascular disease, and cancer, poorer dietary habits, and a higher rate of depressive disorders. Compared to the participants without ACO, the participants with ACO exhibited a significant increase in all-cause mortality (HR = 1.908, 95%CI 1.578-1.307, p < 0.001). The proportions mediated by depressive symptoms for ACO -associated all-cause mortality were 8.13% (CI: 4.22%-14.00%, p < 0.001).

CONCLUSIONS

This study revealed a strong relationship between ACO and all-cause mortality and uncovered a potential psychological mechanism underlying this relationship. Our study indicates the possible necessity of offering comprehensive care to ACO patients, encompassing early detection, lifestyle guidance, and mental health support. Nevertheless, due to the limitations in the study design and the dataset, the results should be interpreted with caution.

Quantifying depressive symptoms on incidence of common chronic diseases and multimorbidity patterns in middle-aged and elderly Chinese adults

BACKGROUND

Depressive symptoms are highly prevalent and increase risks of various morbidities. However, the extent to which depressive symptoms could account for incidence of these chronic conditions, in particular multimorbidity patterns, remains to be examined and quantified.

METHODS

For this cohort analysis, we included 9024-14,093 participants aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS). Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the longitudinal associations between depressive symptoms and 13 common chronic diseases and 4 multimorbidity patterns. Population attributable fractions (PAFs) combining the information on both exposure prevalence and risk association were estimated to quantify the magnitude of the burden of these conditions attributable to depressive symptoms.

RESULTS

Depressive symptoms were associated with increased risks of liver disease, stroke, heart problem, asthma, diabetes, arthritis, kidney disease, chronic lung disease, digestive disease, dyslipidemia, and memory-related disease, and the adjusted HRs (95% CIs) and PAFs (95% CIs) ranged from 1.15 (1.05-1.26) to 1.64 (1.38-1.96) and 5% (0-10%) to 17% (6-28%), respectively. In addition, individuals with depressive symptoms had elevated risks of the cardiometabolic-cancer pattern, the cerebrovascular-memory pattern, the articular-visceral organ pattern, and the respiratory pattern, with respective HRs (95% CIs) of 1.26 (1.11-1.42), 1.34 (1.07-1.69), 1.45 (1.29-1.63), and 2.01 (1.36-2.96), and respective PAFs (95% CIs) of 5% (0-10%), 8% (-4-21%), 12% (7-17%), and 20% (5-35%).

CONCLUSION

Depressive symptoms contribute substantially to the burden across a broad range of chronic diseases as well as different multimorbidity patterns in middle-aged and older Chinese.

Comparative analysis of pulmonary function in school-going adolescents: Examining the impact of depression and anxiety

Objectives

Given the rising concern over depression and anxiety among adolescents, this study aims to investigate their potential impact on respiratory health by comparing pulmonary function test (PFT) parameters between healthy adolescents and those with either depression or anxiety or those exhibiting symptoms of both depression and anxiety.

Materials and Methods

In this cross-sectional study, a random sample of school-going adolescents aged 13-18 years from various schools in Sikkim, both males and females, were selected. Depression and anxiety were assessed using the Revised Children's Anxiety and Depression Scale-25, and pulmonary function was measured using a computerised spirometer-Spirolab III. The recorded variables included forced vital capacity (FVC), forced expiratory volume in 1st second (FEV1), FEV1/FVC ratio, peak expiratory flow rate (PEFR) and forced expiratory flow at 25-75% (FEF 25-75%).

Results

Significant differences emerged in FVC (P = 0.034), PEFR (P = 0.013) and FEF 25-75% (P = 0.023) between healthy and depressed adolescents aged 13-18 years. Similarly, a significant difference was observed in PEFR (P = 0.022) and FEF 25-75% (P = 0.002) between healthy adolescents and those with symptoms of both depression and anxiety. These differences were more pronounced among students in higher grades. Furthermore, significant differences in PEFR (P = 0.015) and FEF 25-75% (P ≤ 0.001) were found while comparing healthy males and males with symptoms of both depression and anxiety. However, no such disparities were seen in girls. There was no significant difference in any of the parameters when compared between the healthy group and those with anxiety.

Conclusion

Depressed adolescents exhibited significantly reduced FVC, PEFR and FEF 25-75% compared to their healthy counterparts, despite being otherwise healthy. This negative association was more pronounced in the higher age group. However, anxious adolescents did not show any significant difference in PFT compared to healthy peers.

Interrelation of Chronic Lung Disease and Cardiovascular Disease Based on Two National Prospective Cohort Studies

BACKGROUND

Chronic lung diseases (CLDs) and cardiovascular diseases (CVDs) are the main chronic diseases responsible for a considerable burden of disease. This study aimed to estimate the interrelation of CLDs and CVDs using two Chinese national longitudinal cohort studies.

METHODS

The China Health and Retirement Longitudinal Study (CHARLS) and Chinese Longitudinal Healthy Longevity Survey (CLHLS) were used in this study with 15,052 and 9,765 participants, respectively. The Cox proportional risk model was used to estimate the interrelation between CLDs and CVDs. Mediating effects were performed to detect possible influencing pathways between CLDs and CVDs.

RESULTS

The association of CLDs with CVDs was identified in 1,647 participants (10.9%) with newly diagnosed CVDs in CHARLS and 332 participants (11.6%) in CLHLS. The Cox proportional risk model showed that CLDs were a significant predictor of CVDs (HR 1.49, 95% CI 1.27-1.76) after adjusting for covariates, and the hazard ratios of stroke and CVDs excluding stroke were (HR 1.02, 95% CI 0.79-1.31) and (HR 1.76, 95% CI 1.46-2.13), respectively. These association were mediated by body mass index (BMI) and Center for Epidemiological Studies Depression Scale (CES-D-10) scores. No significant association was found in CHARLS and CLHLS regarding CVDs with CLDs. In CHARLS, CVDs was a significant predictor of CLDs (HR 1.40, 95% CI 1.09-1.79).

CONCLUSIONS

Chronic lung disease was associated with increased incidence of CVDs in middle-aged and older people in the community population and vice versa. Body mass index and depressive symptoms might be mediated by the effect of CLD on CVD.

Trajectories of depressive symptoms and their predictors in Chinese older population: Growth Mixture model

BACKGROUND

Given the rapidly rising proportion of the older population in China and the relatively high prevalence of depressive symptoms among this population, this study aimed to identify the trajectories of depressive symptoms and the factors associated with the trajectory class to gain a better understanding of the long-term course of depressive symptoms in this population.

METHODS

Data were obtained from four wave's survey of the China Health and Retirement Longitudinal Study (CHARLS). A total of 3646 participants who aged 60 years or older during baseline survey, and completed all follow-ups were retained in this study. Depressive symptoms were measured using the 10-item version of the Center for Epidemiologic Studies Depression Scale (CES-D-10). Growth mixture modelling (GMM) was adopted to identify the trajectory classes of depressive symptoms, and both linear and quadratic functions were considered. A multivariate logistic regression model was used to calculate the adjusted odds ratios (ORs) of the associated factors to predict the trajectory class of participants.

RESULTS

A four-class quadratic function model was the best-fitting model for the trajectories of depressive symptoms in the older Chinese population. The four trajectories were labelled as increasing (16.70%), decreasing (12.31%), high and stable (7.30%), and low and stable (63.69%), according to their trends. Except for the low and stable trajectory, the other trajectories were almost above the threshold for depressive symptoms. The multivariate logistic regression model suggested that the trajectories of chronic depressive symptoms could be predicted by being female, living in a village (rural area), having a lower educational level, and having chronic diseases.

CONCLUSIONS

This study identified four depressive symptom trajectories in the older Chinese population and analysed the factors associated with the trajectory class. These findings can provide references for prevention and intervention to reduce the chronic course of depressive symptoms in the older Chinese population.

Bidirectional associations and a causal mediation analysis between depressive symptoms and chronic digestive diseases: A longitudinal investigation

BACKGROUND

Chronic digestive diseases (CDDs) and depression shared major pathogeneses. We aimed to prospectively examine the bidirectional incidence associations between depressive symptoms and CDDs and explore biologically and behaviorally relevant mediators in the bidirectional associations.

METHODS

Multivariable-adjusted Cox proportional hazard models were used to examine baseline depressive symptoms in relation to incident CDDs among 10,974 adults and the relation of baseline CDDs with new-onset elevated depressive symptoms among 7489 participants in the China Health and Retirement Longitudinal Study of nationally representative middle-aged and older adults. Elevated depressive symptoms were defined as the 10-item Center for Epidemiologic Studies Depression scale (CES-D-10) score at or higher than 10 and CDDs (except for tumor and cancer) were determined by self-reported physician diagnoses. Causal mediation analysis was performed to assess the mediated effects of a priori selected blood biomarkers and lifestyle factors in the bidirectional associations.

RESULTS

Prevalence of elevated depressive symptoms and nonmalignant CDDs at baseline was 33.05 % and 17.8 % respectively. During a mean of 5.47 years of follow-up, elevated depressive symptoms significantly increased hazard of CDDs by 1.66 folds (95%CI = 1.49-1.84). Having CDDs at baseline was associated with a 27 % (95%CI = 16 %-39 %) increased hazard of developing elevated depressive symptoms. Shorter sleeping duration at night nominally significantly mediated 8.76 % of the association between depressive symptoms and incident CDDs while no significant mediators were identified in the converse association.

LIMITATIONS

Limited mediator information and inadequately long follow-up may reduce chance of identifying significant mediators.

CONCLUSIONS

Depressive symptoms and CDDs were mutual independent risk factors. Early screening and management of depressive symptoms and sleep disturbance are suggested in the prevention of CDDs and related comorbidities.

Bidirectional Association Between Probable Depression and Multimorbidity Among Middle-Aged and Older Adults in Thailand

Introduction

The purpose of this study was to assess the bidirectional association between multimorbidity (MM) and probable depression in a longitudinal study in Thailand.

Methods

We analyzed longitudinal data of participants 45 years and older from two consecutive waves (in 2015 and 2017) of Health, Aging, and Retirement in Thailand (HART). Probable depression was assessed using the Center for Epidemiological Studies Depression scale. Logistic regression analysis was conducted to assess the association between baseline probable depression and incident physical MM, and baseline physical MM and incident probable depression.

Results

In all, 2712 participants without MM at baseline and 2684 without probable depression at baseline were included. At follow-up 15.6% of probable depression cases and 11.4% of nonprobable depression cases developed physical MM, and at follow-up 13.3% of physical MM cases and 8.9% of nonphysical MM cases developed probable depression. In the final logistic regression analysis, adjusted for age, sex, marital status, income, education, body mass index, physical activity, smoking tobacco, alcohol use, and social engagement, probable depression at baseline was positively associated with incident physical MM (aOR: 1.50, 95% CI: 1.09 to 2.06), and physical MM at baseline was positively associated with incident probable depression (aOR: 1.47, 95% CI: 1.07 to 2.02).

Discussion

Baseline physical MM increases the risk of incident probable depression and baseline probable depression increases the risk of incident physical MM among middle-aged and older adults in Thailand.

The Additional Medical Expenditure Caused by Depressive Symptoms among Middle-Aged and Elderly Patients with Chronic Lung Diseases in China

Depression is one of the most common comorbidities in patients with chronic lung diseases (CLDs). Depressive symptoms have an obvious influence on the health function, treatment, and management of CLD patients. In order to investigate the additional medical expenditure caused by depressive symptoms among middle-aged and elderly patients with CLDs in China, and to estimate urban–rural differences in additional medical expenditure, our study used data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) investigation. A total of 1834 middle-aged and elderly CLD patients were included in this study. A generalized linear regression model was used to analyze the additional medical expenditure on depressive symptoms in CLD patients. The results show that depressive symptoms were associated with an increase in medical costs in patients with CLDs. Nevertheless, the incremental medical costs differed between urban and rural patients. In urban and rural patients with more severe comorbid CLD and depressive symptoms (co-MCDs), the total additional medical costs reached 4704.00 Chinese Yuan (CNY) (USD 711.60) and CNY 2140.20 (USD 323.80), respectively. Likewise, for patients with lower severity co-MCDs, the total additional medical costs of urban patients were higher than those of rural patients (CNY 4908.10 vs. CNY 1169.90) (USD 742.50 vs. USD 176.90). Depressive symptoms were associated with increased medical utilization and expenditure among CLD patients, which varies between urban and rural areas. This study highlights the importance of mental health care for patients with CLDs.