Dataset Information

The Relationship between Sleep Quality and Brain Amyloid Burden.

ABSTRACT: To evaluate the association between self-reported sleep quality and levels of brain ?-amyloid (A?) burden, and to determine the effect of the apolipoprotein E (APOE) ?4 allele on any associations found.This study is a cross-sectional analysis of 184 cognitively healthy men and women aged over 60 y. We measured sleep quality factors: specifically, sleep duration, latency (time taken to fall asleep), disturbances, efficiency, daytime dysfunction, and overall sleep quality, using the Pittsburgh Sleep Quality Index. All participants underwent A? positron emission tomography imaging for the quantification of brain A? burden and were APOE genotyped. Linear regression analyses were used to evaluate the relationship between sleep quality factors and brain A? burden, adjusting for age, body mass index, cardiovascular disease, and symptoms of depression, with APOE ?4 carriage entered as a moderator.Of the sleep factors, longer sleep latency was associated with higher levels of brain A? (B = 0.003 [standard error = 0.001], P = 0.02). APOE ?4 allele (carrier/noncarrier) did not moderate the relationship between sleep latency and brain A? burden.Our findings suggest a relationship between brain A? burden and sleep latency, independent of APOE ?4 genotype.

SUBMITTER: Brown BM

PROVIDER: S-EPMC4835305 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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The Relationship between Sleep Quality and Brain Amyloid Burden.

Brown Belinda M BM Rainey-Smith Stephanie R SR Villemagne Victor L VL Weinborn Michael M Bucks Romola S RS Sohrabi Hamid R HR Laws Simon M SM Taddei Kevin K Macaulay S Lance SL Ames David D Fowler Christopher C Maruff Paul P Masters Colin L CL Rowe Christopher C CC Martins Ralph N RN

Sleep 20160501 5

<h4>Study objectives</h4>To evaluate the association between self-reported sleep quality and levels of brain β-amyloid (Aβ) burden, and to determine the effect of the apolipoprotein E (APOE) ε4 allele on any associations found.<h4>Methods</h4>This study is a cross-sectional analysis of 184 cognitively healthy men and women aged over 60 y. We measured sleep quality factors: specifically, sleep duration, latency (time taken to fall asleep), disturbances, efficiency, daytime dysfunction, and overal ...[more]

PMID: 27091528

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Project description:BackgroundOver 40% of Taiwanese College students experience sleep problems that not only impair their quality of life but also contribute to psychosomatic disorders. Of all the factors affecting the sleep quality, internet surfing is among one of the most prevalent. Female college students are more vulnerable to internet-associated sleep disorders than their male counterparts. Therefore, this study aims to investigate (1) the relationship between internet addiction and sleep quality, and (2) whether significant variations in sleep quality exist among students with different degrees of internet use.MethodsThis structured questionnaire-based cross-sectional study enrolled students from a technical institute in southern Taiwan. The questionnaire collected information on the following three aspects: (1) demography, (2) sleep quality with Pittsburgh Sleep Quality Index (PSQI), and (3) severity of internet addiction using a 20-item Internet Addiction Test (IAT). Multiple regression analysis was performed to examine the correlation between PSQI and IAT scores among the participants. Logistic analysis was used to determine the significance of association between PSQI and IAT scores.ResultsIn total, 503 female students were recruited (mean age 17.05 ± 1.34). After controlling for age, body mass index, smoking and drinking habits, religion, and habitual use of smartphone before sleep, internet addiction was found to be significantly associated with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, use of sleep medication, and daytime dysfunction. Worse quality of sleep as reflected by PSQI was noted in students with moderate and severe degrees of internet addiction compared to those with mild or no internet addiction. Logistic regression analysis of the association between scores on IAT and sleep quality, demonstrated significant correlations between quality of sleep and total IAT scores (odds ratio = 1.05:1.03 ∼ 1.06, p < 0.01).ConclusionThe results of this study demonstrated significant negative association between the degree of internet addiction and sleep quality, providing reference for educational institutes to minimize adverse effects associated with internet use and improve students' sleep quality.

Dataset Information

The Relationship between Sleep Quality and Brain Amyloid Burden.

Publications

The Relationship between Sleep Quality and Brain Amyloid Burden.

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