Symptoms of depression are related to sedentary behavior and sleep duration in elderly individuals: A cross-sectional study of 49,317 older Chinese adults

Luo, Yating; Liu, Ying; Xie, Jianfei; Duan, Yinglong; Gan, Gang; Zhou, Yi; Luo, Xiaofei; Wang, Jiangang; Chen, Zhiheng; Zhang, Qiuxiang; Cheng, Andy S.K.

doi:10.1016/j.jad.2022.04.102

Cited by 30 publications

(18 citation statements)

References 50 publications

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“…Our study found that depressive symptoms significantly mediated the relationship between sleep duration/SP and cognitive status. These findings align with previous findings that inadequate sleep duration and a lack of social engagement are associated with depressive symptoms in older adults ( 15 , 16 , 23 ) and that depressive symptoms may be associated with cognitive decline ( 26 ). Some physiological and pathological mechanisms by which depressive symptoms may be related to cognitive decline have been proposed, such as sharing risk genes, vascular disease, hippocampal atrophy, increased deposition of amyloid- β plaques, inflammatory changes, inflammatory processes, and dysregulation of lipid transport ( 44 , 45 ).…”

Section: Discussionsupporting

confidence: 92%

“…Sleep disorders may impair cognitive functions by hindering neurodevelopment, emotion regulation, processing speed, and impeding memory consolidation and learning processes ( 13 ). Empirical studies have indicated that sleep duration is a significant risk factor for depressive symptoms and cognitive impairment ( 14 – 16 ). Moreover, moderate sleep duration may help prevent cognitive decline in older adults ( 17 ).…”

Section: Introductionmentioning

confidence: 99%

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Instrumental activities of daily living function and cognitive status among Chinese older adults: a serial multiple mediation model

Huang,

Zhong,

Cheng

et al. 2024

Front. Public Health

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ObjectiveThis study aimed to develop and validate a serial multiple mediation model to investigate the association between instrumental activities of daily living (IADL) function and cognitive status among older adults while exploring the underlying mechanisms.MethodsThis cross-sectional study involved 3,665 individuals aged 60 years and older who participated in the China Health and Retirement Longitudinal Survey (CHARLS). A serial multiple mediation model was utilized to explore the direct and indirect relationship between IADL function and cognitive status and whether sleep duration, social engagement, and depressive symptoms mediated this relationship.ResultsDecreased IADL function was associated with worse cognitive status [effect = −0.620, 95% CI: (−0.692, −0.540)]. Sleep duration, social participation (SP), and depressive symptoms all acted as mediators in the relationship between IADL function and cognitive status.ConclusionThis study found both direct and indirect associations between IADL function and cognitive status, providing new insights into the effective prevention and intervention of cognitive decline among older adults.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Instrumental activities of daily living function and cognitive status among Chinese older adults: a serial multiple mediation model

Huang,

Zhong,

Cheng

et al. 2024

Front. Public Health

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“…The high incidence of affective disorders in elderly patients undergoing VATS raised questions regarding the etiology of depression in this population. Although the etiology of depression is still unclear, it is likely due to insomnia, comorbid disorders, pain, inflammation, cognitive function, sex, and social support [ 19 , 20 , 21 , 22 , 23 , 24 ]. Consequently, we need to study the risk factors of the disease.…”

Section: Discussionmentioning

confidence: 99%

Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery

Xue

et al. 2023

Brain Sciences

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Among the elderly, depression is one of the most common mental disorders, which seriously affects their physical and mental health and quality of life, and their suicide rate is particularly high. Depression in the elderly is strongly associated with surgery. In this study, we aimed to explore the risk factors and establish a predictive model of depressive symptoms 1 month after video-assisted thoracoscopic surgery (VATS) in elderly patients. The study participants included 272 elderly patients (age > 65 years) undergoing VATS from April 2020 to May 2021 at 1 of 18 medical centers in China. The patients were divided into a depression group and a nondepression group according to the Chinese version of the nine-item Patient Health Questionnaire (PHQ-9). The patients’ pre- and postoperative characteristics and questionnaires were collected and compared. Then, binary logistic regression was used to determine the risk factors that affect postoperative depressive symptoms, and the predictive model was constructed. The prediction efficiency of the model was evaluated by drawing the receiver operating characteristic curve (ROC), and the area under the curve (AUC) was calculated to evaluate the value of the predictive model. Among all of the included patients, 16.54% (45/272) suffered from depressive symptoms after VATS. The results of the univariate analysis showed that body mass index (BMI), chronic pain, leukocyte count, fibrinogen levels, prothrombin time, ASA physical status, infusion volume, anxiety, sleep quality, and postoperative pain were related to postoperative depressive symptoms (all p < 0.05). The results of multivariate logistic regression analysis showed that a high fibrinogen level (OR = 2.42), postoperative anxiety (OR = 12.05), poor sleep quality (OR = 0.61), and pain (OR = 2.85) were risk factors of postoperative depressive symptoms. A predictive model was constructed according to the regression coefficient of each variable, the ROC curve was drawn, and the AUC value was calculated to be 0.889. The prediction model may help medical personnel identify older patients at risk of developing depressive disorders associated with VATS and may be useful for clinical purposes.

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“…As witnesses of the rapid evolution of human society, technological advances, global industrialization and urbanization, and modern lifestyles, including the adoption of unhealthy sleep habits, have led to an increase in the incidence of non-communicable chronic diseases such as mental disorders [ 9 , 14 ]. Researchers have explored the relationship between sleep duration and psychological illness [ 15 – 20 ]. Sleep maintains human body function and homeostasis by preserving consciousness and cognitive function, sustaining biological rhythm, repairing defense function, and relieving stress [ 17 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…Short sleep duration (SSD) is a risk factor for mental disorders such as depression. A cross-sectional study [ 15 ] of 49,317 Chinese older adults suggests that SSD is associated with depressive symptoms in Chinese older adults. Dong et al’s study [ 16 ], which includes adults who participated in the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2016, shows that SSD is independently associated with higher incidence of depression.…”

Section: Introductionmentioning

confidence: 99%

Association of sleep duration and risk of mental disorder: a systematic review and meta-analysis

Zhang,

He,

Wang

et al. 2023

Sleep Breath

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Background The effects of sleep duration on the development of mental illness remain controversial. Therefore, it is necessary to identify the effects of long or short sleep duration on psychological disorders, which could reveal new ways for preventing and treating mental health conditions cheaply. Methods Identifying published papers was accomplished by using the following five English databases on March 16, 2022: PubMed, MEDLINE, Embase, Web of Science databases, and Scopus. Cross-sectional and cohort studies were considered if they evaluated the association of sleep duration with all kinds of mental illness in adults. We excluded case reports, editorials, narrative reviews, and studies without detailed information on sleep duration. Summary effect-size estimates were expressed as risk ratios (RRs) or odds ratios (ORs) with 95% confidence intervals and were evaluated using random-effect models. Mantel-Haenszel’s random-effects model was used to estimate the inconsistency index (I2) and Tau2 index (measurement of heterogeneity). Results A total of 52 studies were included in this analysis, consisting of 14 cohort studies and 38 cross-sectional studies. These studies involved a combined sample size of 1,407,891 participants who met the inclusion criteria. Cohort (adjusted RR = 1.42, 95% CI: 1.26–1.60, P < .001, I2 = 37.6%, Tau2 = 0.014) and cross-sectional studies (adjusted OR = 1.67, 95% CI: 1.57–1.77, P < .001, I2 = 79.7%, Tau2 = 0.060) concluded that short sleep duration increased mental disorder risks. The same conclusions were acquired in the subgroup analysis, especially for depression (adjusted RR = 1.43, 95% CI: 1.24–1.65, P < .001, I2 = 80.4%, Tau2 = 0.082), anxiety (adjusted RR = 1.30, 95% CI: 1.04–1.63, P = .002, I2 = 0.0%, Tau2 = 0.000), and PTSD (adjusted RR = 1.35, 95% CI: 1.04–1.76, P = .022, I2 = 24.1%, Tau2 = 0.013) in cohort studies. The results of subgroup analysis indicated that long sleep duration was not a risk factor for depression (adjusted RR = 1.15, 95% CI: 0.98–1.34, P = .088, I2 = 63.4%, Tau2 = 0.045) and anxiety (adjusted RR = 1.37, 95% CI: 0.93–2.03, P = .114, I2 = 0.0%, Tau2 = 0.000). Conclusions Short sleep duration, not long sleep duration, is an independent predictor of developing mental disorders, particularly anxiety and depression.

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Symptoms of depression are related to sedentary behavior and sleep duration in elderly individuals: A cross-sectional study of 49,317 older Chinese adults

Cited by 30 publications

References 50 publications

Instrumental activities of daily living function and cognitive status among Chinese older adults: a serial multiple mediation model

Instrumental activities of daily living function and cognitive status among Chinese older adults: a serial multiple mediation model

Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery

Association of sleep duration and risk of mental disorder: a systematic review and meta-analysis

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