Background Sedentary behaviour is potentially a modifiable risk factor for depression and anxiety disorders, but findings have been inconsistent. To assess the associations of sedentary behaviour ...with depression and anxiety symptoms and estimate the impact of replacing daily time spent in sedentary behaviours with sleep, light, or moderate to vigorous physical activity, using compositional data analysis methods. Methods We conducted a prospective cohort study in 60,235 UK Biobank participants (mean age: 56; 56% female). Exposure was baseline daily movement behaviours (accelerometer-assessed sedentary behaviour and physical activity, and self-reported total sleep). Outcomes were depression and anxiety symptoms (Patient Health Questionnaire-9 and Generalised Anxiety Disorders-7) at follow-up. Results Replacing 60 min of sedentary behaviour with light activity, moderate-to-vigorous activity, and sleep was associated with lower depression symptom scores by 1.3% (95% CI, 0.4-2.1%), 12.5% (95% CI, 11.4-13.5%), and 7.6% (95% CI, 6.9-8.4%), and lower odds of possible depression by 0.95 (95% CI, 0.94-0.96), 0.75 (95% CI, 0.74-0.76), and 0.90 (95% CI, 0.90-0.91) at follow-up. Replacing 60 min of sedentary behaviour with moderate-to-vigorous activity and sleep was associated with lower anxiety symptom scores by 6.6% (95% CI, 5.5-7.6%) and 4.5% (95% CI, 3.7-5.2%), and lower odds of meeting the threshold for a possible anxiety disorder by 0.90 (95% CI, 0.89-0.90) and 0.97 (95%CI, 0.96-0.97) at follow-up. However, replacing 60 min of sedentary behaviour with light activity was associated with higher anxiety symptom scores by 4.5% (95% CI, 3.7-5.3%) and higher odds of a possible anxiety disorder by 1.07 (95% CI, 1.06-1.08). Conclusions Sedentary behaviour is a risk factor for increased depression and anxiety symptoms in adults. Replacing sedentary behaviour with moderate-to-vigorous activity may reduce mental health risks, but more work is necessary to clarify the role of light activity. Keywords: Sedentary behaviour, Depression, Anxiety, Compositional, Physical activity, MVPA
Objective
To determine clinical predictors of lithium response in bipolar disorder.
Methods
Systematic review of studies examining clinical predictors of lithium response was conducted. Meta‐analyses ...were performed when ≥2 studies examined the same potential predictor.
Results
A total of 71 studies, including over 12 000 patients, identified six predictors of good response: mania‐depression‐interval sequence odds ratio (OR): 4.27; 95% CI: 2.61, 6.97; P < 0.001, absence of rapid cycling (OR for rapid cycling: 0.30; 95% CI: 0.17, 0.53; P < 0.001), absence of psychotic symptoms (OR for psychotic symptoms: 0.52; 95% CI: 0.34, 0.79; P = 0.002), family history of bipolar disorder (OR: 1.61; 95% CI: 1.03, 2.52; P = 0.036), shorter prelithium illness duration standardised mean difference (SMD): −0.26; 95% CI: −0.41, −0.12; P < 0.001 and later age of onset (SMD: 0.17; 95% CI: 0.02, 0.36; P = 0.029). Additionally, higher body mass index was associated with poor response in two studies (SMD: −0.61; 95% CI: −0.90, −0.32; P < 0.001). There was weak evidence for number of episodes prior to lithium treatment (SMD: −0.42; 95% CI: −0.84, −0.01; P = 0.046), number of hospitalisations before lithium (SMD: −0.40; 95% CI: −0.81, 0.01; P = 0.055) and family history of lithium response (OR: 10.28; 95% CI: 0.66, 161.26; P = 0.097).
Conclusions
The relative importance of these clinical characteristics should be interpreted with caution because of potential biases and confounding.
•Low and medium CRF are associated with a greater risk of common mental health disorders.•CRF appears to have a dose-dependent relationship with common mental health disorders.•CRF could be useful ...for predicting and preventing common mental health disorders.
Physical activity is associated with a lower incidence of common mental health disorder, but less is known about the impact of cardiorespiratory fitness (CRF).
In this review, we systematically evaluated the relationship between CRF and the incidence of common mental health disorders in prospective cohort studies. We systematically searched six major electronic databases from inception to 23rd of May 2019. We assessed study quality using the Newcastle–Ottawa scale.
We were able to pool the hazard ratios (HRs) and 95% confidence intervals (CIs) of four studies including at least 27,733,154 person-years of data. We found that low CRF (HR = 1.47, 95% CI 1.23 – 1.76 p < 0.001 I2 = 85.1) and medium CRF (HR = 1.23, 95% CI 1.09 – 1.38 p < 0.001 I2 = 87.20) CRF are associated with a 47% and 23% greater risk of a common mental health disorders respectively, compared with high CRF. We found evidence to suggest a dose-response relationship between CRF and the risk of common mental health disorders.
We were only able to identify a small number of eligible studies from our search and heterogeneity was substantial in the subsequent meta-analysis.
Our findings indicate that there is a longitudinal association between CRF levels and the risk of a common mental health disorder. CRF levels could be useful for identifying and preventing common mental health disorders at a population-level.
•Few studies have examined associations between physical multimorbidity and sedentary behaviour in older adults.•We analysed cross-sectional data from a large population-based sample of adults aged ...≥50 years.•Sedentary behaviour increased with the number of chronic physical conditions.•People with ≥4 conditions had greater odds of high sedentary behavior.•Prospective studies are needed to clarify the directionality and potential underlying mechanisms.
Physical multimorbidity, defined as the presence of two or more chronic physical conditions, is widespread and reduces life expectancy and quality of life in older adults. Sedentary behavior (SB) is increasingly identified as a risk factor for a range of chronic physical conditions, independent of physical activity.
To investigate associations between physical multimorbidity and SB in older adults.
We used cross-sectional data from a population-based sample of 6903 adults aged ≥50 years who participated in the Irish Longitudinal Study on Ageing (TILDA) in 2009-2011. We conducted multivariable linear and logistic regression analyses to assess associations between multimorbidity and SB.
Self-reported minutes/day of SB and high SB (≥ 8 h/day).
We found that most of the 14 individual chronic physical conditions included here were associated with greater SB. Those with stroke (OR = 2.63, 95 % CI = 1.69, 4.10) and cirrhosis (OR = 2.53, 95 %CI = 1.19, 5.41) were the most likely to be classified with high SB. Time spent in SB and the prevalence of high SB increased linearly with number of chronic conditions. Multivariable regression models adjusting for sociodemographic and psychological factors, disability, social network, and physical activity showed that, compared with people with none, those with ≥4 chronic physical conditions had 1.45 times greater odds (OR = 1.45, 95 % CI = 1.09, 1.93) of high SB and higher mean minutes/day of SB (β = 21.37, 95 % CI = 5.53, 37.20).
Our results suggest that physical multimorbidity is associated with SB and highlight the need for prospective research to examine the directionality and mechanisms of these associations.
The aging brain undergoes several anatomical changes that can be measured with Magnetic Resonance Imaging (MRI). Early studies using lower field strengths have assessed changes in tissue properties ...mainly qualitatively, using
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- or
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- weighted images to provide image contrast. With the development of higher field strengths (7 T and above) and more advanced MRI contrasts, quantitative measures can be acquired even of small subcortical structures. This study investigates volumetric, spatial, and quantitative MRI parameter changes associated with healthy aging in a range of subcortical nuclei, including the basal ganglia, red nucleus, and the periaqueductal grey. The results show that aging has a heterogenous effects across regions. Across the subcortical areas an increase of
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values is observed, most likely indicating a loss of myelin. Only for a number of areas, a decrease of
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and increase of QSM is found, indicating an increase of iron. Aging also results in a location shift for a number of structures indicating the need for visualization of the anatomy of individual brains.
Depression and anxiety are common mental disorders that increase physical health risks and are leading causes of global disability. Several forms of physical fitness could be modifiable risk factors ...for common mental disorders in the population. We examined associations between individual and combined markers of cardiorespiratory fitness and grip strength with the incidence of common mental disorders.
A 7-year prospective cohort study in 152,978 UK Biobank participants. An exercise test and dynamometer were used to measure cardiorespiratory and grip strength, respectively. We used Patient Health Questionnaire-9 and Generalised Anxiety Disorder-7 scales to estimate the incidence of common mental disorders at follow-up.
Fully adjusted, longitudinal models indicated a dose-response relationship. Low and medium cardiorespiratory fitness was associated with 1.485 (95% CIs, 1.301 to 1.694, p < 0.001) and 1.141 (95% CIs, 1.005 to 1.297, p = 0.041) higher odds of depression or anxiety, compared to high cardiorespiratory fitness. Low and medium grip strength was associated with 1.381 (95% CIs, 1.315 to 1.452, p < 0.001) and 1.116 (95% CIs, 1.063 to 1.172, p < 0.001) higher odds of common mental disorder compared to high grip strength. Individuals in the lowest group for both cardiorespiratory fitness and grip strength had 1.981 (95% CIs, 1.553 to 2.527, p < 0.001) higher odds of depression, 1.599 (95% CIs, 1.148 to 2.118, p = 0.004) higher odds of anxiety, and 1.814 (95% CIs, 1.461 to 2.252, p < 0.001) higher odds of either common mental disorder, compared to high for both types of fitness.
Objective cardiorespiratory and muscular fitness markers represent modifiable risk factors for common mental disorders. Public health strategies to reduce common mental disorders could include combinations of aerobic and resistance activities.
Sedentary behaviour is potentially a modifiable risk factor for anxiety disorders, a major source of global disability that typically starts during adolescence. This is the first prospective study of ...associations between repeated, device-based measures of sedentary behaviour and anxiety symptoms in adolescents.
A UK cohort with 4257 adolescents aged 12 at baseline (56% female). Main exposures were sedentary behaviour and physical activity measured using accelerometers for 7-days at ages 12, 14, and 16. Primary outcome was anxiety symptom scores at age 18 from a Clinical Interview Schedule-Revised. We used adjusted negative binomial regression and iso-temporal substitution methods to analyse the data.
We found a positive association between sedentary behaviour at ages 12, 14, and 16, with anxiety symptoms at age 18, independent of total physical activity volume. Theoretically replacing an hour of daily sedentary behaviour for light activity at ages 12, 14, and 16, was associated with lower anxiety symptoms by age 18 by 15.9% (95% CI 8.7-22.4), 12.1% (95% CI 3.4-20.1), and 14.7% (95% CI 4-24.2), respectively. Whereas, theoretically replacing an hour of sedentary behaviour with moderate-to-vigorous physical activity was not associated with differences in anxiety symptoms. These results were robust to a series of sensitivity analyses.
Sedentary behaviour is a possible risk factor for increasing anxiety symptoms during adolescence, independent of total physical activity volume. Instead of focusing on moderate-to-vigorous activity, replacing daily sedentary behaviour with light activity during adolescence could be a more suitable method of reducing future anxiety symptoms.
Chronic physical illness increases the risk of subsequent depressive symptoms, but we know little about the mechanisms underlying this association that interventions can target. We investigated ...whether loneliness might explain associations between chronic illness and subsequent depressive symptoms.
We used English Longitudinal Study of Ageing data, a prospective cohort of adults over 50. Our exposure was chronic illnesses (wave two) including arthritis, cancer, diabetes, cardiovascular disease, stroke, and chronic obstructive pulmonary disease. Loneliness scores were a mediator on the short University of California, Los Angeles Loneliness Scale at wave three. Depressive symptom scores (outcome) were measured using the Centre for Epidemiologic Studies Depression Scale (wave four). We examined associations of chronic physical illness with loneliness and depressive symptoms in univariable and multivariable regression models.
Fully-adjusted models included 2436 participants with the depression outcome and 2052 participants with the loneliness outcome. Chronic physical illness was associated with 21 % (incident rate ratio = 1.21, 95%CI = 1.03–1.42) higher depression scores at follow-up. We found no evidence of an association between chronic physical illness and loneliness and therefore did not proceed to analyses of mediation.
More prevalent chronic illnesses could have driven our results, such as cardiovascular disease.
Chronic physical illnesses increase the risk of depressive symptoms in older adults. However, we did not find any that chronic physical illnesses were associated with an increased risk of subsequent loneliness. Therefore, interventions targeting loneliness to reduce depression in older adults with chronic physical illness may be insufficient.
•Chronic physical illness increases the risk of depression, but the underlying mechanisms are unclear•We found that loneliness does not mediate the illness-depression relationship in older adults•Interventions to reduce depression in older adults with chronic physical illness should target other factors
Introduction
Sedentary behaviour is potentially a modifiable risk factor for depression and anxiety disorders, but findings have been inconsistent.
Objectives
To assess associations of sedentary ...behavior with depression and anxiety symptoms and estimate the impact of replacing daily time spent in sedentary behaviors with sleep, light, or moderate-to-vigorous physical activity, using novel compositional data analysis methods.
Methods
Prospective cohort study in with 60,235 UK Biobank participants (mean age: 56; 56% female). Exposure was baseline daily movement behaviours (accelerometer-assessed sedentary behaviour, physical activity, and self-reported total sleep). Outcomes were depression and anxiety symptoms (Patient Health Questionnaire-9 and Generalised Anxiety Disorders-7) at follow up.
Results
Replacing 60 minutes of sedentary behaviour with light activity, moderate-to-vigorous activity, and sleep was associated with lower depression symptom scores by 1·3% (95%CI, 0·4%-2·1%), 12·5% (95%CI, 11·4%-13·5%), and 7·6% (95%CI, 6·9%-8·4%), and lower odds of depression by 0·95 (95%CI, 0·94-0·96), 0·75 (95%CI, 0·74-0·76), and 0·90 (95%CI, 0·90-0·91) at follow-up. Replacing 60 minutes of sedentary behaviour with moderate-to-vigorous activity and sleep was associated with lower anxiety symptom scores by 6·6% (95%CI, 5·5%-7·6%) and 4·5% (95%CI, 3·7%-5·2%), and lower odds of meeting the threshold for an anxiety disorder by 0·90 (95%CI, 0·89-0·90) and 0·97 (95%CI, 0·96-0·97) at follow-up. However, replacing 60 minutes of sedentary behaviour with light activity was associated with higher anxiety symptom scores by 4·5% (95%CI, 3·7%-5·3%) and higher odds of an anxiety disorder by 1·07 (95%CI, 1·06-1·08).
Conclusions
Sedentary behaviour is a risk factor for increased depression and anxiety symptoms in adults, but different replacement activities differentially influence mental health.
Disclosure
No significant relationships.
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