Prevalence and associated factors of anxiety and depression among patients with chronic respiratory diseases in eight general hospitals in Jiangsu Province of China: A cross-sectional study

Fatigue and Depressive Mood in Chronic Low Back Pain

PURPOSE

Fatigue is prevalent, problematic, and co-occurs in chronic low back pain. When left untreated, fatigue can increase depressive mood, and intensify pain burden and disability in patients with chronic low back pain. The purpose of this study was to examine the relationship of fatigue to depressive mood, pain severity, and pain interference in patients with chronic low back pain.

DESIGN AND METHODS

A cross-sectional design was used to enroll and evaluate adults (n = 67) with chronic low back pain (>6 months) during their visit to an outpatient pain clinic. Participants completed psychometric instruments for fatigue, depressive mood, pain severity, and pain interference.

RESULTS

Participants were primarily women (73%), White (59%), with a median age of 59 years (range 22-70 years). Multiple regression models showed significant positive associations between fatigue and depressive mood (SD: 0.025 p = 0.017) with a coefficient of 0.069; fatigue and pain interference (SD: 0.123 p = 0.010) with a coefficient of 0.652; fatigue and pain severity (SD: 0.125 p-value <0.05) with a coefficient of 0.359. After adjusting for demographic factors (age, sex, and race/ethnicity) the associations remained significant.

CONCLUSIONS

The findings suggest that fatigue is associated with greater depressive mood, pain severity, and pain interference in adults with chronic low back pain.

CLINICAL IMPLICATIONS

Assessing the extent of fatigue and depressive mood as part of pain management may benefit patients with chronic low back, thereby reducing symptom burden.

Interactions between Cognitive, Affective, and Respiratory Profiles in Chronic Respiratory Disorders: A Cluster Analysis Approach

This study conducted at Leamna Pulmonology Hospital investigated the interrelations among cognitive, affective, and respiratory variables within a cohort of 100 patients diagnosed with chronic respiratory conditions, utilizing sophisticated machine learning-based clustering techniques. Spanning from October 2022 to February 2023, hospitalized individuals confirmed to have asthma or COPD underwent extensive evaluations using standardized instruments such as the mMRC scale, the CAT test, and spirometry. Complementary cognitive and affective assessments were performed employing the MMSE, MoCA, and the Hamilton Anxiety and Depression Scale, furnishing a holistic view of patient health statuses. The analysis delineated three distinct clusters: Moderate Cognitive Respiratory, Severe Cognitive Respiratory, and Stable Cognitive Respiratory, each characterized by unique profiles that underscore the necessity for tailored therapeutic strategies. These clusters exhibited significant correlations between the severity of respiratory symptoms and their effects on cognitive and affective conditions. The results highlight the benefits of an integrated treatment approach for COPD and asthma, which is personalized based on the intricate patterns identified through clustering. Such a strategy promises to enhance the management of these diseases, potentially elevating the quality of life and everyday functionality of the patients. These findings advocate for treatment customization according to the specific interplays among cognitive, affective, and respiratory dimensions, presenting substantial prospects for clinical advancement and pioneering new avenues for research in the domain of chronic respiratory disease management.

Global prevalence and risk factors of depression in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis from 2000 to 2022

OBJECTIVE

This study aims to assess the global and regional prevalence and the potential risk factors for depression among COPD patients.

METHODS

Web of Science, EMBASE, PubMed, and PsycINFO databases were searched for the literature related to the prevalence and risk factors of depression in COPD. Random-effect models were performed to pool the global prevalence. Sub-group analysis and meta-regression were conducted to investigate the potential heterogeneity. Meta-analysis was performed only on the risk factors that have been reported in a minimum of three studies.

RESULTS

A total of 79 studies from 25 countries were included. The pooled global prevalence of variably defined depression among COPD patients was 34.5% (95% CI: 30.9-38.1). The odds of depression in COPD patients were 3.53 times higher than in non-COPD participants (95% CI: 2.35-5.29). Meta-regression results showed that region, income level, and research setting are the main sources of heterogeneity. Female sex (OR=1.92), living alone (OR=2.29), BODE index (OR=1.48), dyspnea (OR=3.02), impaired quality of life (OR=1.26), and GOLD stage III∼IV (OR=1.96) were found to be significant risk factors for depression in meta-analyses.

CONCLUSIONS

More than one-third of COPD patients experience depression, with marked variations in prevalence across countries and regions. This study further highlights the need for the consolidation of mental health considerations into COPD treatments. High-quality, longitudinal studies and further research are needed to gain a better understanding of risk and protective factors.

Depressive symptoms and sleep duration in relation to chronic kidney disease: Evidence from the China health and retirement longitudinal study

OBJECTIVE

Nowadays, the joint effects of depressive symptoms and sleep duration on the risk of chronic kidney disease (CKD) are still unclear. We aimed to prospectively assess the combined effect of depressive symptoms and sleep duration on the incidence of CKD in middle-aged and elderly Chinese population.

METHODS

A total of 10,953 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale (CESD-10). Sleep duration was evaluated by self-reported. CKD events were based on self-reported physicians' diagnosis or personal estimate glomerular filtration rate level (eGFR <60 mL/min/1.73 m2). Cox regression models were established to analyze the correlation between depressive symptoms, sleep duration and the risk of CKD.

RESULTS

Over a mean follow-up time was 6.76 ± 0.98 years, 851 (7.8%) participants had reported CKD events during the follow-up. Elevated depressive symptoms (HR = 1.65, 95% CI = 1.43-1.90) and short sleep duration (HR = 1.48, 95% CI = 1.27-1.72) were independently associated with an increased CKD risk after adjusting for potential confounding factors. Participants with short sleep duration (< 6 h)/elevated depressive symptoms (HR = 2.24, 95% CI = 1.89-2.65) were associated with the highest risk of CKD than those with normal sleep duration/low depressive symptoms.

CONCLUSIONS

Elevated depressive symptoms and short sleep duration were independent risk factors for CKD. There was a combined effect between depressive symptoms and sleep duration in increasing the risk of CKD.

Multiple trajectories of depressive symptoms among Chinese in middle and late life: Characterization and risk factors

BACKGROUND

Depressive symptoms, which are continuously changing, are an essential manifestation of depression and can increase the risk of mental disorders and other diseases. Because the causes and cures for depression have not yet been identified, finding the characteristics, and risk factors of depressive symptom trajectories can help us identify at-risk populations early and reduce the related public disease burden.

AIMS

Herein we aimed to figure out the specific manifestations of depressive symptom trajectories among Chinese adults, explore the risk profiles of trajectory groups with higher depression burdens, and test the longitudinal associations between blood biomarkers with depressive symptoms.

METHODS

Trajectories of participants' depressive symptoms measured by the Center for Epidemiologic Studies Depression scores were modeled with growth mixture models from 2011 to 2018. Multinomial logistic models tested associations of baseline covariates with trajectories. Generalized estimating equations were used to explore the longitudinal associations between blood data and depressive symptoms in two waves from 2011 to 2015.

RESULTS

Among the sample of 5,641 individuals aged 40 or over, four heterogeneous depressive symptom trajectories were defined: stable-low, high-decrease, stable-high, and low-increase. At baseline, demographic factors and health statuses such as gender, education, income, and self-reported health status were associated with trajectories. A significant association was found between high-density lipoprotein and depressive symptoms.

CONCLUSIONS

These findings provide clues for predicting and identifying adults with elevated depression burdens in middle and late life and may facilitate the development of targeted preventive strategies for this population.

The "jolly fat" for the middle-aged and older adults in China, was education level considered?

BACKGROUND

Several studies have found a negative association between obesity and depression in Chinese middle-aged and elderly, suggesting the existence of "jolly fat". This study aims to investigate whether "jolly fat" is applicable among middle-aged and elderly with different education levels, and to provide a new perspective for depression screening and obesity interventions in middle-aged and older adults.

METHODS

10,018 individuals aged 45 years and over in China Family Panel Study (2018) were selected for analysis. A short version of Center for Epidemiological Research Depression Scale was used to assess depression. Body mass index was applied to define obesity status. Subgroup analysis of multiple logistic regression was performed to explore whether the relationship between obesity and depression was influenced by education levels.

RESULTS

The prevalence of obesity and depression was 9.02 % and 22.96 % among participants. Obesity reduced the probability of depression in middle-aged and elderly with primary school education or below (OR = 0.71, 95 % CI = 0.56-0.91) while not affecting those with junior high school education or above (OR = 0.80, 95 % CI = 0.57-1.13).

LIMITATIONS

The results cannot be interpreted as causality due to the cross-sectional design. Besides, we cannot directly measure the body composition of the participants.

CONCLUSIONS

"Jolly fat" existed among middle-aged and elderly with low education, but not in those with junior high school education or above. Health care providers need to monitor the psychological status of low-educated middle-aged and older adults who are seen as needing to lose weight, while the underweight group should be the key target of depression screening.

Multidomain Social Determinants of Depressive Symptoms for the Elderly with Chronic Diseases: Evidence from the China Health and Retirement Longitudinal Study

Elderly individuals with chronic diseases (CDs) have a much higher risk of mental disorders, especially depression. This study aimed to identify the multidomain social determinants of occurrence and degree of depressive symptoms for the Chinese elderly with CDs. Data of 3438 elderly individuals (aged over 60 years) with CDs were drawn from the fourth wave of the China Health and Retirement Longitudinal Study implemented in 2018. Logistic regression was used to describe associations with the occurrence of depressive symptoms within and across multidomain social determinants (demographic, economic, neighborhood, environmental, and social and cultural). The Shapley value decomposition method was used to measure the relative importance of variables of the five domains. A quantile regression model was used to test how the effects of social factors vary across different points of depression score distributions. Approximately 40.1% of Chinese elderly individuals with CDs reported depressive symptoms. Respondents who were female, had a low income, experienced a disability, lived in rural areas, and were not engaged in work had a higher probability of suffering from depressive symptoms. Conversely, increased age, being covered by social security and being well-educated had a protective effect. Data also showed that the effects of these associated factors varied across different points of depression score distributions. The fact that socially disadvantaged people are more vulnerable to severe depressive symptoms implies that psychological health services and intervention strategies should target this population.

Chinese herbal medicine for symptoms of depression and anxiety in chronic obstructive pulmonary disease: A systematic review and meta-analysis

OBJECTIVES

To evaluate the efficacy and safety of Chinese herbal medicine (CHM) on symptoms of depression and anxiety complicated by chronic obstructive pulmonary disease (COPD).

METHODS

Literature from 8 electronic medical databases were searched for meta-analysis using RevMan (version 5.3) and Stata (version 12.0) software. The GRADE Pro Guideline Development Tool and TSA Viewer (version.0.9.5.10 beta) were adopted to evaluate the certainty and conclusiveness of the evidence.

RESULTS

26 studies involving 2529 participants were identified. CHM demonstrated significant lower scores on the Hamilton Depression Rating Scale, Self-Rating Depression Scale, Hamilton Anxiety Rating Scale, and Self-Rating Anxiety Scale compared to the control group without CHM. Moreover, CHM showed favorable safety.

CONCLUSIONS

The evidence verified the efficacy and safety of CHM on relieving depression and anxiety in COPD. However, further large-scale and rigorously designed studies are urgently warranted to strengthen the evidence.

Determinants of Self-Rated Health Among Middle-Aged and Elderly Patients with COPD: The China Health and Retirement Longitudinal Study

This study aimed to assess self-rated health (SRH) status and its determinants in patients with chronic obstructive pulmonary disease (COPD). Participants aged at least 45 years were included from a nationally representative investigation in 2015. The SRH assessment was divided into two groups: "good" and "not good." Independent samples t-tests, chi-square tests, and Fisher's exact tests were used to determine differences in patient characteristics between the two groups. Multiple logistic models were used to determine factors influencing SRH. A total of 1,215 patients with COPD were included in the final analysis, of whom 21.2% reported favorable SRH status. The results indicated that female gender, non-smoking, and elevated peak expiratory flow correlated with better SRH, while nighttime sleep duration less than 7 hours, asthma, and disability, negatively impacted SRH. Our findings provide new evidence for the development of effective health promotion programs for the well-being of patients with COPD.

Association of chronic diseases with depression, anxiety and stress in Chinese general population: The CHCN-BTH cohort study

Background Large-scale epidemiological surveys focusing on characteristic differences in psychological and physical health conditions in Chinese adults are lacking. Objective To investigate the association of noncommunicable chronic diseases (NCDs) with depression, anxiety and stress in the Chinese general population. Methods A total of 13784 participants were recruited from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH) from 2017 to 2019. Sociodemographic characteristics, lifestyle and NCDs were assessed via questionnaire. Stress, anxiety and depression were assessed by the Depression-Anxiety-Stress Scale (DASS-21). The relationship of NCDs with psychological symptoms was determined through logistic regression analysis. Results Multivariate logistic regression analysis revealed that the prevalence of stress (OR = 1.640; 95% CI: 1.381-1.949), anxiety (OR = 1.654; 95% CI: 1.490-1.837) and depression (OR = 1.460; 95% CI: 1.286-1.658) symptoms were all significantly higher in patients with NCDs. Multimorbidities were associated with a higher risk of stress (OR = 2.310; 95% CI: 1.820-2.931), anxiety (OR = 2.119; 95% CI: 1.844-2.436) and depression (OR = 2.785; 95% CI: 1.499-2.126) than single NCDs. A course of disease within 1 year or more than 5 years also was associated with a higher risk. Limitations The cross-sectional design could not examine the causal link between psychological symptoms and NCDs. Conclusion Psychological symptoms were more prevalent among individuals with NCDs in the Chinese general population. This study suggests that more attention should be paid to the mental health problems of patients with NCDs.

Self-reported vision impairment, vision correction, and depressive symptoms among middle-aged and older Chinese: Findings from the China health and retirement longitudinal study

OBJECTIVE

To investigate associations between vision impairment (VI), vision correction (VC) and depressive symptoms among middle-aged and older Chinese.

METHODS

22 203 participants aged ≥45 years from China Health and Retirement Longitudinal Study 2011 to 2015 were divided into four self-reported VI categories: no VI, distance VI (DVI) only, near VI (NVI) only, and both distance and near VI (DNVI); and four self-reported VI/VC subgroups: VI(+)/VC(-), VI(+)/VC(+), VI(-)/VC(-) and VI(-)/VC(+). Depressive symptoms were evaluated by 10-item Center for Epidemiological Studies Depression Scale (CESD-10).

RESULTS

Compared with no VI, DVI only (OR = 2.12, 95% CI: 1.95, 2.31), NVI only (OR = 1.51, 95% CI: 1.39, 1.63) and DNVI (OR = 2.75, 95% CI: 2.47, 3.07) were associated with higher odds of depressive symptoms. Compared with VI(+)/VC(-), VI(+)/VC(+) (OR = 0.91, 95% CI: 0.83, 0.98), VI (-)/VC(-) (OR = 0.50, 95% CI: 0.48, 0.53) and VI(-)/VC(+) (OR = 0.49, 95% CI: 0.47, 0.54) were associated with lower odds of depressive symptoms. Compared with no VI at baseline, baseline DNVI was significantly associated with higher odds of depressive symptoms after two (OR = 1.48, 95% CI: 1.16, 1.88) and four (OR = 1.32, 95% CI: 1.04, 1.68) years. Baseline depressive symptoms were significantly associated with higher odds of VI after two (OR = 1.53, 95% CI: 1.34, 1.74) and four (OR = 1.54, 95% CI: 1.34, 1.76) years.

CONCLUSION

Adults with DNVI were more likely to report depressive symptoms in the future and those with depressive symptoms were more likely to report VI in the future. VC might be a protective factor for preventing depressive symptoms among adults with VI.

Obesity and the onset of depressive symptoms among middle-aged and older adults in China: evidence from the CHARLS

BACKGROUND

The association between obesity and depression has been documented in previous systematic studies but remains controversial. Many prospective studies have focused on children and youth, and several studies have examined this relationship among older populations. This study of the changes in obesity status aimed to examine the association between depression and obesity among middle-aged and elderly adults in China.

METHODS

The data originated from the follow-up survey (2011 and 2013-2015) of the China Health and Retirement Longitudinal Study (CHARLS) and included 3337 residents aged at least 45 years who completed a physical examination and were evaluated with the Center for Epidemiological Studies Depression Scale (CES-D-10), which assessed depressive symptoms. Obesity status was defined by body mass index (BMI) and waist circumference (WC) according to Chinese criteria. A time-dependent Cox proportional hazards model was used to estimate the relationship between obesity status and depressive symptoms.

RESULTS

The rate of depression in men and women was 26.67 and 38.37%, respectively. Based on BMI, the proportion of the population that was overweight and obese was 28.07 and 9.26%, respectively, in males and 35.03 and 16.84%, respectively, in females. Males with obesity were less likely to suffer from depressive symptoms than males with a normal weight (ORHR = 0.506, 95% CI = 0.347~ 0.736). Based on WC, the proportion of abdominal obesity was 49.35% in males and 73.65% in females. Males with abdominal obesity were less likely to suffer from depressive symptoms than males without abdominal obesity (ORHR = 0.775, 95% CI = 0.644~ 0.933).

CONCLUSION

Obesity is more likely to be associated with the onset of depression in males than in females. However, regardless of underweight or overweight status, the relationship between weight and depressive symptoms is negatively associated among females and males. In conclusion, both BMI and WC can be used as tools for examining the association between obesity and depression.