scholarly journals 0956 Trajectories of Poor Sleep Quality from Late Pregnancy to 3 Years Postpartum and Association with maternal Mood Disturbances: A Longitudinal and Prospective Cohort Study

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A355-A355
Author(s):  
G Wang ◽  
Y Deng ◽  
Y Jiang ◽  
Q Lin ◽  
L Zhu ◽  
...  
2012 ◽  
Vol 21 (1) ◽  
pp. 66-76 ◽  
Author(s):  
Kazumi Kubota ◽  
Akihito Shimazu ◽  
Norito Kawakami ◽  
Masaya Takahashi

2021 ◽  
Vol Volume 13 ◽  
pp. 399-409 ◽  
Author(s):  
Rocio Leon-Gonzalez ◽  
Fernando Rodriguez-Artalejo ◽  
Rosario Ortola ◽  
Esther Lopez-Garcia ◽  
Esther Garcia-Esquinas

2017 ◽  
Vol 38 (11) ◽  
pp. 5465-5473 ◽  
Author(s):  
Claire E. Sexton ◽  
Enikő Zsoldos ◽  
Nicola Filippini ◽  
Ludovica Griffanti ◽  
Anderson Winkler ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Muhammed Lamin Sambou ◽  
Xiaoyu Zhao ◽  
Tongtong Hong ◽  
Jingyi Fan ◽  
Til Bahadur Basnet ◽  
...  

ObjectiveTo examine the associations between sleep quality and health span using a prospective cohort design based on the UK Biobank (UKB).Materials and MethodsThis longitudinal cohort study enrolled 328,850 participants aged between 37 and 73 years from UKB to examine the associations between sleep quality and risk of terminated health span. End of health span was defined by eight events strongly associated with longevity (cancer, death, congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, and diabetes), and a sleep score was generated according to five sleep behavioral factors (sleep duration, chronotype, sleeplessness, daytime sleepiness, and snoring) to characterize sleep quality. The hazard ratio (HR) and 95% confidence intervals (CIs) were calculated by multivariate-adjusted Cox proportional hazards model. Moreover, we calculated population attributable risk percentage (PAR%) to reflect the public health significance of healthy sleep quality.ResultsCompared with poor sleep quality, participants with healthy sleep quality had a 15% (HR: 0.85, 95% CI: 0.81–0.88) reduced risk of terminated health span, and those of less-healthy sleep quality had a 12% (HR: 0.88, 95% CI: 0.85–0.92) reduced risk. Linear trend results indicated that the risk of terminated health span decreased by 4% for every additional sleep score. Nearly 15% health span termination events in this cohort would have been prevented if a healthy sleep behavior pattern was adhered to (PAR%: 15.30, 95% CI: 12.58–17.93).ConclusionHealthy sleep quality was associated with a reduced risk of premature end of health span, suggesting healthy sleep behavior may extend health span. However, further studies are suggested for confirmation of causality and potential mechanism.


2021 ◽  
Author(s):  
Yafang Tang ◽  
Fei Dai ◽  
Nurul Syaza Razali ◽  
Shephali Tagore ◽  
Bernard SM Chern ◽  
...  

Abstract Background: Pregnancy associated sleep disturbance is a common pregnancy-related complication which can lead to significant maternal distress and adverse pregnancy outcomes. Sleep quality can be affected by multiple factors and high BMI or obesity has been recognized as one of them. Various previous studies have demonstrated poorer sleep quality during pregnancy. However, most studies included assessment at only one point of pregnancy. This prospective cohort study aimed to better evaluate the effect of pregnancy on the quality of sleep throughout the antenatal period and how BMI affects antenatal sleep.Methods: A total of 926 women were recruited before 14 weeks of gestation and followed throughout pregnancy. The Pittsburgh Sleep Quality Index questionnaire was employed to assess sleep quality in 4 antenatal visits throughout pregnancy. Their weight was also recorded at each visit.Results: The PSQI global score was higher towards the later part of pregnancy (6.4 to 8.0, p<0.001) and highest at the 4th visit. Sleep latency was longer as pregnancy progressed (18.5 mins to 23.2 mins, p=0.001). Sleep duration became shorter over time and was the shortest at the 4th visit (7.1 hours to 6.5 hours, p<0.001). Sleep efficiency was the lowest at the 4th visit (85.2% to 81.6%, p<0.001). The same trend was observed for subjects in different BMI groups throughput pregnancy. PSQI score increased and sleep duration decreased as BMI increased. The effect of increasing BMI on PSQI and sleep duration was only observed in the higher BMI groups (>25kg/m2).Conclusions: Our study showed that sleep quality gradually declined throughout pregnancy for all BMI groups. Higher BMI was associated with poorer sleep as represented by PSQI score and sleep duration, particularly in the high BMI subgroups.


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