Associations between sedentary behaviour patterns and depression among people aged 60 and older in Hebei Province of China

Associations between Recreational Screen Time and Brain Health in Middle-Aged and Older Adults: A Large Prospective Cohort Study

OBJECTIVES

To investigate the associations of recreational screen time with risks of brain-related disorders (dementia, stroke, and Parkinson's disease) and neuroimaging features.

DESIGN

Prospective cohort study.

SETTING AND PARTICIPANTS

A total of 407,792 participants from the UK Biobank who were free of dementia, stroke, or Parkinson's disease at enrollment (2006-2010).

METHODS

TV viewing and time spent using the computer were self-reported at baseline. Among a subsample of 40,692 participants, neuroimaging features were measured by magnetic resonance imaging in 2014. Data were analyzed using Cox proportional hazard models, restricted cubic spline models, and general linear regression models.

RESULTS

During a median follow-up of 12.6 years, 5227 incident dementia, 6822 stroke, and 2308 Parkinson's disease cases were identified. Compared with TV viewing >0-1 h/day, watching TV ≥5 h/day was associated with higher risks of dementia [hazard ratio (HR), 1.44; 95% confidence interval (CI), 1.28-1.62], stroke (HR, 1.12; 95% CI, 1.01-1.25), and Parkinson's disease (HR, 1.28; 95% CI, 1.06-1.54). Moreover, we observed inverse associations between TV viewing time and both gray matter volume and hippocampus volume (Ptrend <.001). However, we did not observe the significant associations between discretional computer use and brain-related disorders or neuroimaging features.

CONCLUSIONS AND IMPLICATIONS

Our findings suggest that high TV viewing time is associated with increased risk of various brain-related disorders, highlighting recreational TV viewing could have an important impact on brain-related health.

The relationship between sedentary behavior and depression in older adults: A systematic review and meta-analysis

BACKGROUND

The association between sedentary behavior and depression in older adults has been reported in several studies; however, study results on the relationship between the different types of sedentary behavior and depression are not uniform. The purpose of this study was to quantitatively review the association between depression and total sedentary behavior, mentally active sedentary behavior, and passive sedentary behavior.

METHODS

We systematically searched for observational studies on the association between sedentary behavior and depression in older adults using PubMed, Embase, and Web of Science databases. A random effects model was used to combine odds ratios (ORs) and 95 % confidence intervals (CIs). In addition, we performed subgroup and sensitivity analyses to explore potential sources of heterogeneity.

RESULTS

Five longitudinal and 10 cross-sectional studies with a total of 144,161 participants were included in the meta-analysis. The OR of total sedentary behavior associated with depression was 1.49 (95 % CI 1.24-1.79). The combined OR value of mentally active sedentary behavior and depression was 0.82 (95 % CI 0.69-0.97), and no association was found between passive sedentary behavior and the risk of depression.

LIMITATIONS

We were unable to find dose-response relationships between the different types of sedentary behavior and depression because there were too few studies with raw data to analyze.

CONCLUSION

Total sedentary behavior may increase the risk of depression in older adults, whereas mentally active sedentary behavior is associated with a lower risk of depression. Differentiating between the types of sedentary behavior can inform interventions to prevent or ameliorate depression in older adults.

Adherence to 24-Hour Movement Guidelines Among Chinese Older Adults: Prevalence, Correlates, and Associations With Physical and Mental Health Outcomes

BACKGROUND

It is known that 24-hour movement behaviors, including physical activity (PA), sedentary behavior (SB), and sleep, are crucial components affecting older adults' health. Canadian 24-hour movement guidelines for older adults were launched in 2020, emphasizing the combined role of these 3 movement behaviors in promoting older adults' health. However, research on the prevalence and correlates of guideline adherence and its associations with health-related outcomes is limited, especially among Chinese older adults.

OBJECTIVE

This study aimed to investigate the prevalence and correlates of meeting 24-hour movement guidelines among Chinese older adults. Furthermore, this study aimed to examine the associations of guideline adherence with older adults' physical and mental health outcomes.

METHODS

Using a stratified cluster random sampling approach, a total of 4562 older adults (mean age 67.68 years, SD 5.03 years; female proportion: 2544/4562, 55.8%) were recruited from the latest provincial health surveillance of Hubei China from July 25 to November 19, 2020. Measures included demographics, movement behaviors (PA, SB, and sleep), BMI, waist circumference, waist-hip ratio (WHR), percentage body fat (PBF), systolic and diastolic blood pressure, physical fitness, depressive symptoms, and loneliness. Generalized linear mixed models were employed to examine the associations between variables using SPSS 28.0 (IBM Corp).

RESULTS

Only 1.8% (83/4562) of participants met all 3 movement guidelines, while 32.1% (1466/4562), 3.4% (155/4562), and 66.4% (3031/4562) met the individual behavioral guidelines for PA, SB, and sleep, respectively. Participants who were older, were female, and lived in municipalities with lower economic levels were less likely to meet all 3 movement guidelines. Adhering to individual or combined movement guidelines was associated with greater physical fitness and lower values of BMI, waist circumference, WHR, PBF, depressive symptoms, and loneliness, with the exception of the relationship of SB+sleep guidelines with loneliness. Furthermore, only meeting SB guidelines or meeting both PA and SB guidelines was associated with lower systolic blood pressure.

CONCLUSIONS

This is the first study to investigate adherence to 24-hour movement guidelines among Chinese older adults with regard to prevalence, correlates, and associations with physical and mental health outcomes. The findings emphasize the urgent need for promoting healthy movement behaviors among Chinese older adults. Future interventions to improve older adults' physical and mental health should involve enhancing their overall movement behaviors and should consider demographic differences.

Causal effects of sedentary behaviours on the risk of migraine: A univariable and multivariable Mendelian randomization study

BACKGROUND

Migraine is a common and burdensome neurological disorder. The causal relationship between sedentary behaviours (SBs) and migraine remains instinct. We aimed to evaluate the roles of SBs including watching TV, using computer and driving in the risk of migraine.

METHODS

We conducted a univariable and multivariable Mendelian randomization (MR) study based on summary datasets of large genome-wide association studies. The inverse variance weighted method was utilized as the primary analytical tool. Cochran's Q, MR-Egger intercept test, MR pleiotropy residual sum and outlier and leave-one-out were conducted as sensitivity analysis. Additionally, we performed a meta-analysis to combine the causal estimates.

RESULTS

In the discovery analysis, we identified causal associations between time spent watching TV and an increased risk of migraine (p = 0.015) and migraine without aura (MO) (p = 0.002). Such causalities with increasing risk of migraine (p = 0.005), and MO (p = 0.006) were further verified using summary datasets from another study in the replication analysis. There was no significant causal association found between time spent using computer, driving and migraine or its two subtypes. The meta-analysis and multivariable MR analysis also strongly supported the causal relationships between time spent watching TV and an increased risk of migraine (p = 0.0003 and p = 0.034), as well as MO (p < 0.0001 and p = 0.0004), respectively. These findings were robust under all sensitivity analysis.

CONCLUSIONS

Our study suggested that time spent watching TV may be causally associated with an increased risk of migraine, particularly MO. Large-scale and well-designed cohort studies may be warranted for further validation.

SIGNIFICANCE STATEMENT

This study represents the first attempt to investigate whether a causal relationship exists between SBs and migraine. Utilizing MR analysis helps mitigate reverse causation bias and confounding factors commonly encountered in observational cohorts, thereby enhancing the robustness of derived causal associations. Our MR analysis revealed that time spent watching TV may serve as a potential risk factor for migraine, particularly MO.

Depressive Symptoms are Associated with Decline Over Time in Verbal Fluency Performance in Female but Not Male Community-Dwelling Older Adults

OBJECTIVE

The current study was designed to examine associations between depressive symptoms and longitudinal declines in category and letter fluency performance in a gender-stratified sample of older adults.

METHOD

Participants were community-residing older adults (females: n = 289; males: n = 233) followed annually (2011-2018) as part of a cohort study conducted at Albert Einstein College of Medicine in New York. Depressive symptoms were assessed using the Geriatric Depression Scale (GDS). Standard forms assessed category and letter fluency performance. Participants were dementia-free during study enrollment.

RESULTS

The presence of baseline depressive symptoms suggestive of subclinical depression was associated with a worse longitudinal decline in category fluency performance in female but not male participants. These associations remained significant when excluding participants with prevalent and incident mild cognitive impairment and incident dementia. Irrespective of gender, letter fluency performance did not decline over time and was not influenced by the presence of depressive symptoms.

DISCUSSION

The present study's results can aid in identification of older adults who may be at greater risk for cognitive decline, and add to the limited literature examining the influence of gender on longitudinal associations between depressive symptoms and verbal fluency performance.

Sedentary Behavior and Risk of Depression in Older Adults: A Systematic Meta-Analysis

Background

The elderly represents the population group with the highest rate of sedentary behavior. Sedentary behavior has an adverse impact on the elderly, which might be related to depression.

Methods

We queried PubMed, EMBASE, Web of Science, and MEDLINE to collect literature data. The odds ratio (OR) and corresponding 95% confidence interval (CI) were adopted for the pooled measurements. Sub-group analyses were conducted through stratified meta-analyses based on study design, depression indicator, adjustment for physical activity, sedentary behavior indicator, and type. Sensitivity analyses were performed to test the robustness of the results, and publication bias was assessed through a funnel plot.

Results

Seven cross-sectional studies and five cohort studies were included in our meta-analysis. The overall pooled OR was 1.38 (95%CI: 1.16-1.65; P < 0.01), which indicated that sedentary behavior was positively associated with depression in older adults. Sub-group analysis showed that different study designs, depression indicators, sedentary behavior indicators, adjustment for physical activity, sedentary behavior indicator, and type produced different results. In the cross-sectional studies (OR = 1.45, 95%CI: 1.15-1.84), CES-D scale (OR = 1.54, 95%CI: 1.13-2.10), self-reported (OR = 1.39, 95%CI: 1.04-1.87), watching TV (OR = 1.75, 95%CI: 1.02-3.02), and not adjusted for physical activity (OR = 1.37, 95%CI: 1.14-1.65) groups, there was a strong correlation between sedentary behavior and depression in the elderly.

Conclusion

Sedentary behavior is associated with depression in the elderly. As a preventive strategy, we should consider reducing their sedentary time and appropriately increasing physical activity.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.