1
|
Zhu M, Chen A. Epidemiological characteristics of asthma-COPD overlap, its association with all-cause mortality, and the mediating role of depressive symptoms: evidence from NHANES 2005-2018. BMC Public Health 2024; 24:1423. [PMID: 38807148 PMCID: PMC11134654 DOI: 10.1186/s12889-024-18911-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 05/21/2024] [Indexed: 05/30/2024] Open
Abstract
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.
Collapse
Affiliation(s)
- Meng Zhu
- School of Public Health, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, 310053, China
- School of Basic Medicine, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, 310053, China
| | - An Chen
- School of Public Health, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, 310053, China.
- Department of Public Health, Faculty of Medicine, University of Helsinki, Biomedicum 1, Helsinki, 00290, Finland.
| |
Collapse
|
2
|
Shao L, Zhu X, Li DL, Wu L, Lu X, Fan Y, Qiao Z, Hou L, Pan CW, Ke C. Quantifying depressive symptoms on incidence of common chronic diseases and multimorbidity patterns in middle-aged and elderly Chinese adults. J Psychiatr Res 2024; 173:340-346. [PMID: 38579479 DOI: 10.1016/j.jpsychires.2024.03.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 03/11/2024] [Accepted: 03/21/2024] [Indexed: 04/07/2024]
Abstract
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.
Collapse
Affiliation(s)
- Liping Shao
- Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xiaohong Zhu
- Suzhou Centers for Disease Control and Prevention, Suzhou, China
| | - Dan-Lin Li
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Luying Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xujia Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yulong Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Zhengpeng Qiao
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Liying Hou
- School of Public Health, North China University of Science and Technology, Tangshan, China.
| | - Chen-Wei Pan
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
| | - Chaofu Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
| |
Collapse
|
3
|
Ren X, Wang S, Lian J, Pan C, Li B, He Y, Zhao J, Wang D, Luo Z, Shen J, Sun Z, Hou Y, Qi L, Lu Q, Lv P, Wang Y, Yong Q. Interrelation of Chronic Lung Disease and Cardiovascular Disease Based on Two National Prospective Cohort Studies. Heart Lung Circ 2023; 32:1167-1177. [PMID: 37574417 DOI: 10.1016/j.hlc.2023.06.862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 05/27/2023] [Accepted: 06/09/2023] [Indexed: 08/15/2023]
Abstract
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.
Collapse
Affiliation(s)
- Xueling Ren
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Shengshu Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Junsong Lian
- Ninth Department of Healthcare, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Chunjiang Pan
- PLA Strategic Support Force Characteristic Medical Center, Beijing, China
| | - Baobao Li
- State Key Laboratory of Highly Toxic Substances for Anti-Drug Research, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
| | - Yan He
- Department of Occupational Disease Treatment, Medical Center of The Second Artillery, Beijing, China
| | - Jing Zhao
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Dan Wang
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zheng Luo
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jiangqiong Shen
- Department of Nursing, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhifeng Sun
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yanka Hou
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lin Qi
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Qian Lu
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Ping Lv
- Department of Respiratory, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yuling Wang
- Department of Nursing, Chinese PLA General Hospital, Beijing, China.
| | - Qinge Yong
- Department of Nursing, National Clinical Research Center for Geriatrics Diseases, The Second Medical Center of Chinese PLA General Hospital, Beijing, China.
| |
Collapse
|
4
|
Xie Y, Ma M, Wang W. Trajectories of depressive symptoms and their predictors in Chinese older population: Growth Mixture model. BMC Geriatr 2023; 23:372. [PMID: 37328803 PMCID: PMC10276362 DOI: 10.1186/s12877-023-04048-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 05/17/2023] [Indexed: 06/18/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Yaofei Xie
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, Hubei, China
| | - Mengdi Ma
- Wuhan Blood Center, Wuhan, Hubei, China.
| | - Wei Wang
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
| |
Collapse
|
5
|
Zheng J, Li J, Pei T, Zhu T, Li X, Wang H. Bidirectional associations and a causal mediation analysis between depressive symptoms and chronic digestive diseases: A longitudinal investigation. J Affect Disord 2023; 333:278-289. [PMID: 37105468 DOI: 10.1016/j.jad.2023.04.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 03/21/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023]
Abstract
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.
Collapse
Affiliation(s)
- Jiali Zheng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jingmeng Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Tianduo Pei
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Tianren Zhu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xiaoguang Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Hui Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| |
Collapse
|
6
|
Pengpid S, Peltzer K, Anantanasuwong D. Bidirectional Association Between Probable Depression and Multimorbidity Among Middle-Aged and Older Adults in Thailand. J Multidiscip Healthc 2023; 16:11-19. [PMID: 36644708 PMCID: PMC9832925 DOI: 10.2147/jmdh.s394078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 01/04/2023] [Indexed: 01/08/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Supa Pengpid
- Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand,Department of Public Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa,Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Karl Peltzer
- Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand,Department of Psychology, University of the Free State, Bloemfontein, South Africa,Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan,Correspondence: Karl Peltzer, Department of Psychology, University of the Free State, Bloemfontein, South Africa University of the Free State, Bloemfontein, South Africa, Email
| | - Dararatt Anantanasuwong
- Center for Aging Society Research (CASR) at National Institute of Development Administration (NIDA), Bangkok, Thailand
| |
Collapse
|
7
|
Jin S, Wu Y, Chen S, Zhao D, Guo J, Chen L, Huang Y. The Additional Medical Expenditure Caused by Depressive Symptoms among Middle-Aged and Elderly Patients with Chronic Lung Diseases in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137849. [PMID: 35805507 PMCID: PMC9266188 DOI: 10.3390/ijerph19137849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/23/2022] [Accepted: 06/23/2022] [Indexed: 02/04/2023]
Abstract
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.
Collapse
|