Bi-directional associations between depressive symptoms and asthma in middle-aged and elderly adults in China

The interaction effects between depression and sleep status on asthma: a national cross-sectional study

Background

Asthma, depression, and sleep problems are three significant public health issues that are closely interrelated. This study aims to explore the relationship between depression, sleep status and asthma, as well as the potential interaction among these conditions and their effects on asthma.

Method

This cross-sectional study utilized data from the 2005-2008 National Health and Nutritional Examination Survey, including information on asthma, depression, sleep status and confounding factors. Multivariate logistic regression analyses were conducted to investigate the relationship between depression, sleep status, and asthma. Subgroup analyses were conducted to test the p-interaction between depression and each stratified variable. Additionally, both multiplicative and additive approaches were employed to assess the interaction between depression and sleep status on asthma, as well as to quantify their combined effects.

Results

A total of 8,327 participants (mean age 46.53 years) were included in this study. Compared to the individuals without depression, those with depression have an increased risk of asthma [Odds ratio (OR) = 1.57, 95% Confidence interval (CI) = 1.22-2.03], and an increase in the severity of depressive symptoms is associated with a higher risk of developing asthma. Additionally, poor sleep quality, sleep disorders, and insufficient sleep was associated with an increased risk of asthma. Effect modification was observed between depression and PIR status, smoking status, and sleep disorders in relation to asthma (p-interaction <0.05). Moreover, we found a positive interaction between severe depression and excessive sleep (OR = 29.07, 95% CI = 3.24-260.38). Furthermore, we observed the quantitative additive interaction indicators between moderately severe depression and insufficient sleep [Relative excess risk due to interaction (RERI) = 1.63, 95%CI = 0.18-3.83; Attributable proportion (AP) = 0.51, 95%CI = 0.15-0.87; Synergy index (SI) = 3.92, 95%CI = 1.65-23.50] influencing asthma risk.

Conclusion

Our study revealed distinct associations between depression, the severity of depressive symptoms, poor sleep quality, sleep disorders, and insufficient sleep with asthma. Additionally, there was an interaction between moderately severe depression and insufficient sleep on asthma. Psychological and sleep assessment are essential in asthma management. Clinicians should consider the potential risk of depression and sleep problems in asthma patients and intervene. Further longitudinal research is needed to better understand the pathophysiological mechanisms behind the interactions between asthma, depression, and sleep problems.

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.

Internet accessibility and incident depressive symptoms in middle aged and older adults in China: A national longitudinal cohort study

BACKGROUND

With the rapid development of the Internet over the past ten years, its widespread applications and accessibility may cause dynamic changes in the association between internet use and depressive symptoms.

OBJECTIVE

We aim to explore the association between internet accessibility (including broadband connection, internet use, frequency, and devices for internet use), as well as its changes, and the risk of incident depressive symptoms for middle aged and older adults based on a cohort study.

METHODS

8772 participants with three repeat waves of follow-up (average 6.04 years) were included. Cox proportional hazards regressions were used to explore risk effects. Hazard ratios (HRs) and 95 % Confidence Intervals [CI] were presented.

RESULTS

Incidence density for depressive symptoms was 53.89 for every 1000 person-years. The rate of internet usage by middle aged and older adults in China increased evidently from 2012 to 2018 (16.39 % vs 77.41 %). Broadband internet connection (BIC) (HR = 0.80, 95%CI: 0.71, 0.90) and moderate frequency of internet use (IU) (HR = 0.30, 95%CI: 0.10, 0.92) were associated with decreased risk of depressive symptoms. Participants who changed from no internet accessibility to internet accessibility were associated with a lower risk of depressive symptoms (BIC: HR = 0.46, 95%CI: 0.41, 0.51; IU: HR = 0.42, 95%CI: 0.34, 0.51). Using large screen devices (HR = 0.64, 95%CI: 0.45, 0.91) for internet access, instead of phones, was associated with lower risk of depressive symptoms.

CONCLUSIONS

Older adults should be encouraged to use the Internet; online time, frequency, and devices for internet use should be considered simultaneously.