Relationship between self-reported sleep quality and metabolic syndrome in general population

Okubo, Noriyuki; Matsuzaka, Masashi; Takahashi, Ippei; Sawada, Kaori; Sato, Satoshi; Akimoto, Naoki; Umeda, Takashi; Nakaji, Shigeyuki

doi:10.1186/1471-2458-14-562

Cited by 95 publications

(79 citation statements)

References 27 publications

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“…The mean PSQI score for the full sample was 4.9 (3.2), which is higher than studies elsewhere including the control group in the validation of the Brazilian version for the PSQI questionnaire29 (which was 2.5). In other studies, the prevalence of poor sleep was lower in reports from Japan (9.5% of total men and 14.3% of total women having PSQI ≥ 6)30 and China (26.36% having PSQI ≥ 6)31. However, the prevalence of 34.9% of poor sleepers described here is similar to what has been reported in United States3233 and Korea34.…”

Section: Discussionsupporting

confidence: 83%

Timing and quality of sleep in a rural Brazilian family-based cohort, the Baependi Heart Study

Beijamini

Knutson

Lorenzi-Filho

et al. 2016

Sci Rep

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Sleep is modulated by several factors, including sex, age, and chronotype. It has been hypothesised that contemporary urban populations are under pressure towards shorter sleep duration and poorer sleep quality. Baependi is a small town in Brazil that provides a window of opportunity to study the influence of sleep patterns in a highly admixed rural population with a conservative lifestyle. We evaluated sleep characteristics, excessive daytime sleepiness, and chronotype using the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Morningness-Eveningness Questionnaire questionnaires, respectively. The sample consisted of 1,334 subjects from the Baependi Heart study (41.5% male; age: 46.5 ± 16.2 y, range: 18–89 years). Average self-reported sleep duration was 07:07 ± 01:31 (bedtime 22:32 ± 01:27, wake up time: 06:17 ± 01:25 hh:min), sleep quality score was 4.9 + 3.2, chronotype was 63.6 ± 10.8 and daytime sleepiness was 7.4 ± 4.8. Despite a shift towards morningness in the population, chronotype remained associated with reported actual sleep timing. Age and sex modulated the ontogeny of sleep and chronotype, increasing age was associated with earlier sleep time and shorter sleep duration. Women slept longer and later, and reported poorer sleep quality than men (p < 0.0001). This study provides indirect evidence in support of the hypothesis that sleep timing was earlier prior to full urbanisation.

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Section: Discussionsupporting

confidence: 83%

Timing and quality of sleep in a rural Brazilian family-based cohort, the Baependi Heart Study

Beijamini

Knutson

Lorenzi-Filho

et al. 2016

Sci Rep

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“…A total of 18 studies (22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39) were selected for inclusion in this metaanalysis. Table E4 outlines the characteristics of study participants.…”

Section: Resultsmentioning

confidence: 99%

“…Three (22,31,36) of these used the Asian-specific cut-off for waist circumference as specified in the 2009 AHA/NHLBI guidelines. Two studies (27,32) from Japan used their country-specific criteria (27,44). The different definitions of MetS differed mostly in their waist circumference limits (Table 1).…”

Section: Systematic Reviewmentioning

confidence: 99%

Sleep Duration and Metabolic Syndrome. An Updated Dose–Risk Metaanalysis

et al. 2015

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Rationale: Several studies have reported that both short and long sleep durations are associated with the metabolic syndrome, but whether a dose-response relationship exists is unclear.Objectives: We performed a metaanalysis to study the magnitude of the association between the different durations of sleep and metabolic syndrome. Methods:We searched in the databases of PubMed, Web of Science, and Ovid (all Journals@Ovid) from inception to October 4, 2014 for cross-sectional studies where an association between metabolic syndrome and sleep duration was analyzed. Measurements and Main Results:Eighteen studies with 75,657 participants were included. Daily sleep duration of 7 to 8 hours was used as the reference group. The odds ratio (OR) of having metabolic syndrome for short (,7 h) sleep was 1.23 (95% CI, 1.11-1.37; P , 0.001; I 2 , 71%). The ORs for less than 5 hours, 5 to 6 hours, and 6 to 7 hours of sleep were 1.51 (95% CI, 1.10-2.08; P = 0.01), 1.28 (95% CI, 1.11-1.48; P , 0.001), and 1.16 (95% CI, 1.02-1.31; P = 0.02), respectively. The coefficient of sleep duration on log of ORs was 20.06 6 0.02 (P = 0.02). The OR for long sleep duration was 1.13 (95% CI, 0.97-1.32; P = 0.10; I 2 , 89%).Conclusions: A dose-response relationship exists between short sleep duration and metabolic syndrome. Those who report a sleep duration of less than 5 hours have a 1.5 higher odds of having metabolic syndrome. Our study does not support the notion that long sleep is associated with metabolic syndrome.

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“…(24). In a cross-sectional study on the general population, global PSQI score and its components (especially, sleep latency and sleep disturbance) were associated with metabolic syndrome (25).…”

Section: Discussionmentioning

confidence: 99%

The Association Between Sleep Quality and Metabolic Factors and Anthropometric Measurements

Khorasani¹,

Mohammadpoorasl²,

Javadi³

2016

Biotech Health Sci

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Background: Several studies have shown that sleep disorders may lead to metabolic or endocrine changes including insulin resistance, diabetes, obesity, cardiovascular disease and stroke. Objectives: The aim of this study was to investigate the association between sleep quality and metabolic factors and anthropometric measurements among personnel of a central petrochemical company in Tehran. Methods: This cross-sectional study was conducted on 400 personnel of a central petrochemical company in Tehran, during year 2015. Demographic information including age, gender, educational status, employment duration, working hours per day, marital status, smoking, medical history for disease and drug use, were collected by a questionnaire. Systolic and diastolic blood pressure and also height and weight were measured by standard methods and body mass index (BMI) was calculated. Pittsburg sleep quality index (PSQI) was performed to assess participants' sleep quality. Serum concentrations of fasting glucose and lipid profiles were measured by the related biochemical kits. Logistic regression analysis was used for multivariate adjusting of factors associated with sleep quality.

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Relationship between self-reported sleep quality and metabolic syndrome in general population

Cited by 95 publications

References 27 publications

Timing and quality of sleep in a rural Brazilian family-based cohort, the Baependi Heart Study

Timing and quality of sleep in a rural Brazilian family-based cohort, the Baependi Heart Study

Sleep Duration and Metabolic Syndrome. An Updated Dose–Risk Metaanalysis

The Association Between Sleep Quality and Metabolic Factors and Anthropometric Measurements

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