Correlation between Sleep Duration and Risk of Stroke

Patyar, Sazal; Patyar, Rakesh Raman

doi:10.1016/j.jstrokecerebrovasdis.2014.12.038

Cited by 36 publications

(14 citation statements)

References 68 publications

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“…Poor sleep has been shown to decrease performance at school and work, is associated with depressed mood, and is established as a risk factor for obesity, cardiovascular disease, stroke, and death [4,18,19]. Smartphones are often nearby at night, and 68% of owners store their phone on a bedside table while they sleep [20].…”

Section: Discussionmentioning

confidence: 99%

Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

Christensen

Bettencourt

Kaye³

et al. 2016

PLoS ONE

229

141

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BackgroundSmartphones are increasingly integrated into everyday life, but frequency of use has not yet been objectively measured and compared to demographics, health information, and in particular, sleep quality.AimsThe aim of this study was to characterize smartphone use by measuring screen-time directly, determine factors that are associated with increased screen-time, and to test the hypothesis that increased screen-time is associated with poor sleep.MethodsWe performed a cross-sectional analysis in a subset of 653 participants enrolled in the Health eHeart Study, an internet-based longitudinal cohort study open to any interested adult (≥ 18 years). Smartphone screen-time (the number of minutes in each hour the screen was on) was measured continuously via smartphone application. For each participant, total and average screen-time were computed over 30-day windows. Average screen-time specifically during self-reported bedtime hours and sleeping period was also computed. Demographics, medical information, and sleep habits (Pittsburgh Sleep Quality Index–PSQI) were obtained by survey. Linear regression was used to obtain effect estimates.ResultsTotal screen-time over 30 days was a median 38.4 hours (IQR 21.4 to 61.3) and average screen-time over 30 days was a median 3.7 minutes per hour (IQR 2.2 to 5.5). Younger age, self-reported race/ethnicity of Black and "Other" were associated with longer average screen-time after adjustment for potential confounders. Longer average screen-time was associated with shorter sleep duration and worse sleep-efficiency. Longer average screen-times during bedtime and the sleeping period were associated with poor sleep quality, decreased sleep efficiency, and longer sleep onset latency.ConclusionsThese findings on actual smartphone screen-time build upon prior work based on self-report and confirm that adults spend a substantial amount of time using their smartphones. Screen-time differs across age and race, but is similar across socio-economic strata suggesting that cultural factors may drive smartphone use. Screen-time is associated with poor sleep. These findings cannot support conclusions on causation. Effect-cause remains a possibility: poor sleep may lead to increased screen-time. However, exposure to smartphone screens, particularly around bedtime, may negatively impact sleep.

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Section: Discussionmentioning

confidence: 99%

Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

Christensen

Bettencourt

Kaye³

et al. 2016

PLoS ONE

229

141

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“…Although short and long sleep durations have been associated with an increased risk of ischaemic stroke , not enough data exist regarding sleep duration and the risk of ICH. A recent meta‐analysis of prospective studies reported that long sleep duration, defined as sleep of more than 8 h, could increase the total risk of future stroke.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, and paradoxically, long sleep duration (i.e. more than 8 h) is also reported to be positively associated with stroke incidence . However, it is not clear whether long sleep duration is a risk factor for stroke or an epiphenomenon.…”

Section: Introductionmentioning

confidence: 99%

Prolonged sleep increases the risk of intracerebral haemorrhage: a nationwide case−control study

Kim

et al. 2016

Euro J of Neurology

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“…The mechanisms behind the association between shorter sleep duration and incident disability are not fully understood. However, several previous studies showed the association between shorter sleep duration and an increased risk of poor physical function, falls, low cognitive function (such as executive function) incident diseases (such as stroke), ischemic heart disease, osteoporosis and sarcopenia; through adverse endocrinological or metabolic effects (such as decreases of testosterone and melatonin secretion); through the induction of chronic, low‐grade inflammation (such as elevated C‐reactive protein); through increases in vascular damage (such as coronary artery calcification); or through increases in cortisol secretion or altered growth hormone metabolism . These previous studies support the present results.…”

Section: Discussionmentioning

confidence: 99%

Daily sleep duration and the risk of incident disability among younger elderly Japanese adults in the New Integrated Suburban Seniority Investigation Project: A prospective study using competing event analysis

Zhang

Ukawa

Zhao

et al. 2019

Geriatrics Gerontology Int

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Aim: This study aimed to investigate the association between daily sleep duration and incident disability among younger elderly individuals in Japan. Methods:We carried out a prospective cohort study, the New Integrated Suburban Seniority Investigation Project, including 1895 (962 men and 933 women) Japanese physically and socially independent individuals aged ≥65 years. Information on daily sleep duration, demographic, lifestyle characteristics and medical status were collected by questionnaire and health checkup every year from 1996 through 2005. Dates of incident disability were confirmed using the certification for the long-term care insurance in Japan. We treated censored cases due to death as competing events. A competing risk model was used to calculate the hazard ratio and 95% confidence interval for incident disability.Results: During a median of 12.7 years of follow up, 256 participants (114 men and 142 women) reported incident disability. Compared with a sleep duration of 7-7.9 h/day, sleeping <6 h/day showed an increased risk of incident disability (hazard ratio 1.64, 95% confidence interval 1.13-2.38 for total; hazard ratio 1.90, 95% confidence interval 1.19-3.03 for women). Conclusions:The present findings suggest that shorter sleep duration was associated with a higher risk of incident disability among older Japanese people. Geriatr Gerontol Int 2019; 19: 945-949.

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Correlation between Sleep Duration and Risk of Stroke

Cited by 36 publications

References 68 publications

Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

Prolonged sleep increases the risk of intracerebral haemorrhage: a nationwide case−control study

Daily sleep duration and the risk of incident disability among younger elderly Japanese adults in the New Integrated Suburban Seniority Investigation Project: A prospective study using competing event analysis

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