scholarly journals P016 Daytime light exposure predicts better mood-, sleep- and circadian-related outcomes in >8,000 UK Biobank participants

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A26-A27
Author(s):  
A Burns ◽  
D Windred ◽  
J Lane ◽  
R Saxena ◽  
A Phillips ◽  
...  
Keyword(s):  
Linear Models ◽  
Light Exposure ◽  
Antidepressant Medication ◽  
Circadian System ◽  
Uk Biobank ◽  
Night Time ◽  
Female Age ◽  
Positive Effects ◽  
The Uk ◽  
Age Range

Abstract Introduction Light has powerful effects on mood, sleep, and the circadian system. Humans evolved in an environment with a clear distinction between day and night, but our modern lighting environments have blurred this distinction. While the disruptive effects of night time light exposure are well described, the potential positive effects of daytime light exposure on these systems are less well studied. Method Participants were a subset of the UK Biobank cohort who were invited to complete a seven day wrist-worn actimetry and light sensor study (n = 8,372, 61% female, age range: 39–70). Hierarchical linear models assessed the association between average daytime light exposure and mood-, sleep- and circadian-related outcomes, adjusted for age, sex, and season of assessment. Results Greater daytime light exposure was associated with earlier chronotype (p < .001), greater ease of getting up in the morning (p < .001), lower odds of using antidepressant medication (p < .001), less frequent low-mood (p = .002), less frequent anhedonia (p < .001), greater happiness (p < .001), less frequent insomnia symptoms (p = .01) and less frequent tiredness (p < .001). Conclusions In the largest study to-date, we observe that greater daytime light predicts better outcomes across a range of mood-, sleep- and circadian-related measures. Our findings are consistent with the known effects of light on the circadian system, whereby greater daytime light enhances the strength of the rhythm allowing for greater distinction between sleep and wake states. These findings

Let there be blue-depleted light: in-patient dark therapy, circadian rhythms and length of stay

2020 ◽  
pp. 1-12 ◽  
Author(s):  
Jan Scott ◽  
Knut Langsrud ◽  
Ingunn Ro Goulding ◽  
Havard Kallestad
Keyword(s):  
Circadian Rhythms ◽  
Sleep Disturbances ◽  
Light Exposure ◽  
Environmental Influence ◽  
Time Of Day ◽  
Circadian System ◽  
Temporal Organization ◽  
Night Time ◽  
Inpatient Psychiatric Care ◽  
The Impact

SUMMARY Light is the most important environmental influence (zeitgeber) on the synchronization of the circadian system in humans. Excess light exposure during the evening and night-time affects secretion of the hormone melatonin, which in turn modifies the temporal organization of circadian rhythms, including the sleep–wake cycle. As sleep disturbances are prominent in critically ill medical and psychiatric patients, researchers began to examine the impact of light exposure on clinical outcomes and length of hospitalization. In psychiatric inpatients, exposure to bright morning light or use of blue blocking glasses have proved useful interventions for mood disorders. Recently, knowledge about light and the circadian system has been applied to the design of inpatient facilities with dynamic lighting systems that change according to time of day. The installation of ‘circadian lighting’ alongside technologies for monitoring sleep–wake patterns could prove to be one of the most practical and beneficial innovations in inpatient psychiatric care for more than half a century.

scholarly journals Midlife blood pressure is associated with the severity of white matter hyperintensities: analysis of the UK Biobank cohort study

2020 ◽  
Author(s):  
Karolina Agnieszka Wartolowska ◽  
Alastair John Stewart Webb
Keyword(s):  
Blood Pressure ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Linear Models ◽  
Population Attributable Fraction ◽  
Relative Role ◽  
Uk Biobank ◽  
Assessment Centre ◽  
The Uk

Abstract Aims White matter hyperintensities (WMH) progress with age and hypertension, but the key period of exposure to elevated blood pressure (BP), and the relative role of systolic BP (SBP) vs. diastolic BP (DBP), remains unclear. This study aims to determine the relationship between WMH and concurrent vs. past BP.  Methods and results  UK Biobank is a prospective community-based cohort of 40–69-year olds from 22 centres, with magnetic resonance imaging in a subgroup of over 40 000 people at 4–12 years after baseline assessment. Standardized associations between WMH load (WMH volume normalized by total white matter volume and logit-transformed) and concurrent vs. past BP were determined using linear models, adjusted for age, sex, cardiovascular risk factors, BP source, assessment centre, and time since baseline. Associations adjusted for regression dilution bias were determined between median WMH and usual SBP or DBP, stratified by age and baseline BP. In 37 041 eligible participants with WMH data and BP measures, WMH were more strongly associated with concurrent SBP [DBP: β = 0.064, 95% confidence interval (CI) 0.050–0.078; SBP: β = 0.076, 95% CI 0.062–0.090], but the strongest association was for past DBP (DBP: β = 0.087, 95% CI 0.064–0.109; SBP: β = 0.045, 95% CI 0.022–0.069), particularly under the age of 50 (DBP: β = 0.103, 95% CI 0.055–0.152; SBP: β = 0.012, 95% CI −0.044 to 0.069). Due to the higher prevalence of elevated SBP, median WMH increased 1.126 (95% CI 1.107–1.146) per 10 mmHg usual SBP and 1.106 (95% CI 1.090–1.122) per 5 mmHg usual DBP, whilst the population attributable fraction of WMH in the top decile was greater for elevated SBP (19.1% for concurrent SBP; 24.4% for past SBP). Any increase in BP, even below 140 for SBP and below 90 mmHg for DBP, and especially if requiring antihypertensive medication, was associated with increased WMH. Conclusions WMH were strongly associated with concurrent and past elevated BP with the population burden of severe WMH greatest for SBP. However, before the age of 50, DBP was more strongly associated with WMH. Long-term prevention of WMH may require control of even mildly elevated midlife DBP.

scholarly journals Biobank scale pharmacogenomics informs the genetic underpinnings of simvastatin use

2020 ◽  
Author(s):  
Frank R Wendt ◽  
Dora Koller ◽  
Gita A Pathak ◽  
Daniel Jacoby ◽  
Edward J Miller ◽  
...  
Keyword(s):  
Linear Models ◽  
Association Studies ◽  
Absolute Risk ◽  
African Ancestry ◽  
Medication Use ◽  
Density Lipoprotein ◽  
Interactive Effects ◽  
European Ancestry ◽  
Uk Biobank ◽  
The Uk

AbstractBackground and PurposeStudying drug metabolizing enzymes, encoded by pharmacogenes (PGx), may inform biological mechanisms underlying the diseases for which a medication is prescribed. Until recently, PGx loci could not be studied at biobank scale. Here we analyze PGx haplotype variation to detect associations with medication use in the UK Biobank.MethodsIn 7,649 unrelated African-ancestry (AFR) and 326,214 unrelated European-ancestry (EUR) participants from the UK Biobank, aged 37-73 at time of recruitment, we associated clinically-relevant PGx haplotypes with 265 (EUR) and 17 (AFR) medication use phenotypes using generalized linear models covaried with sex, age, age2, sex×age, sex×age2, and ten principal components of ancestry. Haplotypes across 50 genes were assigned with Stargazer. Our analyses focused on the association of PGx haplotype dose (quantitative predictor), diplotype (categorical predictor), and rare haplotype burden on medication use.ResultsIn EUR, NAT2 metabolizer phenotype (OR=1.05, 95% CI: 1.03-1.08, p=7.03×10−6) and activity score (OR=1.09, 95% CI: 1.05-1.14, p=2.46×10−6) were associated with simvastatin use. The dose of N-acetyltransferase 2 (NAT2)*1 was associated with simvastatin use relative to NAT2*5 (NAT2*1 OR=1.04, 95% CI=1.03-1.07, p=1.37×10−5) and was robust to effects of low-density lipoprotein cholesterol (LDL-C) concentration (NAT2*1 given LDL-C concentration: OR=1.07, 95% CI=1.05-1.09, p=1.14×10−8) and polygenic risk for LDL-C concentration (NAT2*1 given LDL-C PRS: OR=1.09, 95% CI=1.04-1.14, p=2.26×10−4). Interactive effects between NAT2*1, simvastatin use, and LDL-C concentration (OR: 0.957, 95% CI=0.916-0.998, p=0.045) were replicated in eMERGE PGx cohort (OR: 0.987, 95% CI: 0.976-0.998, p=0.029).Conclusions and relevanceWe used biobank-scale data to uncover and replicate a novel association between NAT2 locus variation (and suggestive evidence with several other genes) and better response to simvastatin (and other statins) therapy. The presence of NAT2*1 versus NAT2*5 may therefore be useful for making clinically informative decisions regarding the potential benefit (e.g., absolute risk reduction) in LDL-C concentration prior to statin treatment.Subject termsgenetics, genetic association studies, cardiovascular disease

scholarly journals White matter damage due to pulsatile versus steady blood pressure differs by vascular territory: A cross-sectional analysis of the UK biobank cohort study

2021 ◽  
pp. 0271678X2110588
Author(s):  
Karolina A Wartolowska ◽  
Alastair JS Webb
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
White Matter ◽  
Linear Models ◽  
Posterior Circulation ◽  
White Matter Injury ◽  
Uk Biobank ◽  
Vascular Territory ◽  
Anterior Circulation ◽  
The Uk

Small vessel disease is associated with age, mean blood pressure (MAP) and blood pressure pulsatility (PP). We used data from the UK Biobank cohort study to determine the relative importance of MAP versus PP driving white matter injury within individual white matter tracts, particularly in the anterior and posterior vascular territory. The associations between blood pressure and diffusion indices in 27 major tracts were analysed using unadjusted and fully-adjusted general linear models and mixed-effect linear models. Blood pressure and neuroimaging data were available for 37,041 participants (mean age 64+/−7.5 years, 53% female). In unadjusted analyses, MAP and PP were similarly associated with diffusion indices in the anterior circulation. In the posterior circulation, the associations were weaker, particularly for MAP. In fully-adjusted analyses, MAP remained associated with all diffusion indices in the anterior circulation, independently of age. In the posterior circulation, the effect of MAP became protective. PP remained associated with greater mean diffusivity and extracellular free water diffusion in the anterior circulation and all diffusion indices in the posterior circulation. There was a significant interaction between PP and age. This implies discordant mechanisms for chronic white matter injury in different brain regions and potentially in the associated stroke risks.

261 Accelerometer-Derived Sleep and Circadian Domains and Sociodemographic Correlates in the UK Biobank

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A105-A105
Author(s):  
Philip Gehrman ◽  
Susan Malone ◽  
Freda Patterson ◽  
Jonathan Mitchell ◽  
Diego Mazzotti
Keyword(s):  
Open Source ◽  
Linear Models ◽  
Activity Patterns ◽  
Population Based ◽  
Accelerometer Data ◽  
Uk Biobank ◽  
Sleep Health ◽  
Variable Clustering ◽  
Clinically Significant ◽  
The Uk

Abstract Introduction Sleep health encompasses sleep regularity, duration, timing, efficiency and satisfaction. Accelerometry is an established method to estimate sleep in ecologically valid contexts, capturing key characteristic of rest-activity patterns, and facilitating population sleep health research. While hundreds of traits can be generated from open-source algorithms applied to raw acceleration data, the lack of clarity around their meaningful use beyond conventional measures limit the ability of these data to systematically inform evidence-based practices promoting sleep health. Here, we propose a method to identify key sleep and circadian domains, using data reduction methods for hundreds of accelerometer-derived traits to inform population-based sleep heath research. We also aimed to validate our findings by assessing whether the identified domains captured known sociodemographic associations. Methods We analyzed sociodemographic and raw triaxial accelerometer data recorded for 7 days from 79,876 adults (mean age 56.3±2.1 years, 56.3% women) participating in the UK Biobank. Standardized data processing using the open-source package GGIR (v1.7-1) resulted in the generation of 107 sleep and circadian traits. Variable clustering was used to identify key sleep and circadian domains, pertinent to sleep health, representing interpretable biological constructs minimizing correlation with other domains. Associations between identified domains and sociodemographic factors were evaluated using general linear models, and clinically significant differences were determined by standardized mean differences (SMD) ≥0.3. Results We identified 25 sleep and circadian domains explaining ≥80% of the variability of all 107 included traits. Domains capturing measures of variability tended to cluster together. The most clinically significant associations with sociodemographic characteristics were: women (vs. men) had higher sleep efficiency and lower accumulation of diurnal sleep periods; older (vs. younger) individuals had earlier most active starting time, lower acceleration amplitude and lower number of nocturnal sleep periods; and shift (vs. non-shift) workers had higher variability in sleep timing on weekends. Conclusion We demonstrate that variable clustering on accelerometer-derived data can identify meaningful sleep and circadian domains. In addition, identified domains captured known sociodemographic associations commonly observed in the sleep and circadian literature, suggesting that they could be relevant to inform public health practices that promote sleep health. Support (if any) NHLBI 5R01HL143790-02(PG); NIMHHD R01MD012734(FP); NIDA R01DA051321(FP); NIH/NHLBI K01HL123612(JM)

scholarly journals Correlations in sleeping patterns and circadian preference between spouses

2022 ◽  
Author(s):  
Rebecca C Richmond ◽  
Laurence J Howe ◽  
Karl Heilbron ◽  
Samuel Jones ◽  
Junxi Liu ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Inverse Correlation ◽  
Self Report ◽  
Phenotypic Correlation ◽  
Accelerometer Data ◽  
Diurnal Activity ◽  
Uk Biobank ◽  
Positive Effects ◽  
Diurnal Preference ◽  
The Uk

Spouses may affect each other's sleeping behaviour. In 47,420 spouse-pairs from the UK Biobank, we found a weak positive phenotypic correlation between spouses for self-reported sleep duration (r=0.11; 95% CI=0.10, 0.12) and a weak inverse correlation for chronotype (diurnal preference) (r=-0.11; -0.12, -0.10), which replicated in up to 127,035 23andMe spouse-pairs. Using accelerometer data on 3,454 UK Biobank spouse-pairs, the correlation for derived sleep duration was similar to self-report (r=0.12; 0.09, 0.15). Timing of diurnal activity was positively correlated (r=0.24; 0.21, 0.27) in contrast to the inverse correlation for chronotype. In Mendelian randomization analysis, positive effects of sleep duration (mean difference=0.13; 0.04, 0.23 SD per SD) and diurnal activity (0.49; 0.03, 0.94) were observed, as were inverse effects of chronotype (-0.15; -0.26, -0.04) and snoring (-0.15; -0.27, -0.04). Findings support the notion that an individual's sleep may impact that of their partner, with implications for sleep health.

Low birthweight is associated with poorer limb muscle mass and grip strength in middle age: findings from the UK Biobank Imaging Enhancement

2019 ◽  
Author(s):  
Elizabeth Curtis ◽  
Justin Liu ◽  
Kate Ward ◽  
Karen Jameson ◽  
Zahra Raisi-Estabragh ◽  
...  
Keyword(s):  
Grip Strength ◽  
Muscle Mass ◽  
Low Birthweight ◽  
Middle Age ◽  
Limb Muscle ◽  
Uk Biobank ◽  
The Uk

Contrasting Broad- and Clinically- defined Polygenic Indicators of Depression and Depression-related Phenotypes in Adults and Children

2020 ◽  
Author(s):  
John E. McGeary ◽  
Chelsie Benca-Bachman ◽  
Victoria Risner ◽  
Christopher G Beevers ◽  
Brandon Gibb ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Cognitive Reappraisal ◽  
Twin Studies ◽  
European Ancestry ◽  
Summary Statistics ◽  
Depression Severity ◽  
Uk Biobank ◽  
Polygenic Scores ◽  
Adults And Children ◽  
The Uk

Twin studies indicate that 30-40% of the disease liability for depression can be attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores (PGS) based on broad- (PGSBD) and clinical- (PGSMDD) depression summary statistics from the UK Biobank using independent cohorts of adults (N=210; 100% European Ancestry) and children (N=728; 70% European Ancestry) who have been extensively phenotyped for depression and related neurocognitive phenotypes. PGS associations with depression severity and diagnosis were generally modest, and larger in adults than children. Polygenic prediction of depression-related phenotypes was mixed and varied by PGS. Higher PGSBD, in adults, was associated with a higher likelihood of having suicidal ideation, increased brooding and anhedonia, and lower levels of cognitive reappraisal; PGSMDD was positively associated with brooding and negatively related to cognitive reappraisal. Overall, PGS based on both broad and clinical depression phenotypes have modest utility in adult and child samples of depression.

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