Short sleep duration predicts risk of metabolic syndrome: A systematic review and meta-analysis

Xi, Bo; He, Dan; Zhang, Min; Xue, Jian; Zhou, Donghao

doi:10.1016/j.smrv.2013.06.001

Cited by 219 publications

(168 citation statements)

References 26 publications

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“…Our metaanalysis takes the evidence further by including 18 studies and analyzing the association of different categories of short sleep (,5, 5-6, and 6-7 h) duration as well as long sleep (8-9 and .9 h) with MetS. In fact, results of our metaregression sensitivity analysis show that exclusion of the data for greater than 9 hours of sleep duration from the rest of the different durations of sleep (,5, 5-6, 6-7, 8-9), predicts a dose-dependent response, a finding not shown in prior metaanalyses (19,20,46). In other words, every 1 hour decrease in sleep duration corresponds to a 0.06 increase in the OR of having MetS.…”

Section: Systematic Reviewmentioning

confidence: 42%

“…Our metaanalysis expands on the findings of the metaanalysis by Xi and colleagues (20), in which 10 studies were analyzed comparing essentially two categories of sleep duration: less than or equal to 6 hours of sleep with greater than or equal to 8 hours of sleep-the former found more strongly associated with MetS than the latter. However, because most studies in the metaanalysis by Xi and colleagues (20) were done in Asia, the results cannot be considered generalizable. Our metaanalysis takes the evidence further by including 18 studies and analyzing the association of different categories of short sleep (,5, 5-6, and 6-7 h) duration as well as long sleep (8-9 and .9 h) with MetS.…”

Section: Systematic Reviewmentioning

confidence: 82%

“…On the association of MetS with the short and long sleep duration, two recent metaanalyses (19,20) have reported different results. Although one (19) reported a U-shaped association between extremes of sleep duration and MetS, the other (20) did not show a significant association between long sleep duration and MetS. Since the publication of these two metaanalyses, several other studies have been published in this regard.…”

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confidence: 99%

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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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Section: Systematic Reviewmentioning

confidence: 42%

Section: Systematic Reviewmentioning

confidence: 82%

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confidence: 99%

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

et al. 2015

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“…The results of the conducted tests show no dependency between short sleep duration (≤ 6 h) and the risk of MetS, despite the fact that many authors have confirmed the presence of such dependencies [9, 12-15, 21, 32]. It should be mentioned, however, that most of these papers applied different definitions of MetS [9,[12][13][14]32], and in some there were also definitions of short sleep duration applied which was less than 6 h per night [15,21]. Long sleep duration (≥ 9 h) was connected with a higher risk of MetS, but only in the unadjusted model.…”

Section: Discussionmentioning

confidence: 92%

“…Some of them show a U-shaped relationship between sleep duration and the prevalence of MetS [10]. It has been shown in some papers that MetS is only associated with short sleep duration [12][13][14][15] or long sleep duration [16][17][18]. In another paper, however, there was no relationship found between sleep duration and the risk of MetS [19].…”

Section: Introductionmentioning

confidence: 99%

Sleep duration and the risk of metabolic syndrome – a cross-sectional study

Suliga¹,

Kozieł²,

Cieśla³

et al. 2017

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Introduction: It has been stated that besides the traditional elements of lifestyle such as diet and physical activity, an additional factor, namely sleep, is involved in metabolic processes, hormonal functions, and energy homeostasis. Aim of the research: To examine relationships between self-reported sleep duration and the risk of metabolic syndrome (MetS) and its components, both for men and women. Material and methods: The study involved 10,367 individuals, aged 37 to 66 years. The definition of MetS applied in this paper was developed by the International Diabetes Federation (IDF). Logistic regression was applied to assess the risk (odds ratio -OR) of MetS and its components. Results: There was no relationship observed between short sleep duration (≤ 6 h) and the risk of MetS. Long sleep duration (≥ 9 h) was connected with a higher risk of MetS only in the unadjusted model (OR = 1.11). After adjusting for confounders, a significant association was found between long sleep duration and a higher risk of abdominal obesity in the test group as a whole (OR = 1.16), as well as in the men in the group (OR = 1.22). In women, both with short (OR = 1.08) and long (OR = 1.12) sleep duration, the risk of increased concentration of glucose was found. Conclusions: Our study did not confirm the existence of an association between inadequate sleep duration and the risk of MetS, defined in accordance with IDF criteria. Sleep duration, however, is connected with some of the MetS components. It is therefore necessary to conduct further, long-term tests in this regard.

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Gene expression in blood from an individual with β‐thalassemia: An RNA sequence analysis

Taghavifar

Hamid

Shariati

2019

Molec Gen & Gen Med

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Background Transcriptome profiling in individuals affected with β‐thalassemia, especially in individuals who carry novel mutations in the HBB, may improve our understanding of the heterogeneity and molecular mechanisms of the disease. Methods Members of a family with a daughter affected with thalassemia intermedia, although her mother was not clinically affected, were examined. We also characterized genome‐wide gene expression in the family using real‐time quantitative polymerase chain reaction and high‐throughput RNA‐sequencing mRNA expression profiling of blood. Results We described the downregulation of the β‐globin gene in β‐thalassemia by RNA‐sequencing analysis using a sample from an affected individual and her mother, who have a novel mutation in the HBB that creates a cryptic donor splice site. The daughter has a typical β‐thalassemia allele as well, and an unexpectedly severe phenotype. The differentially expressed genes are enriched in pathways that are directly or indirectly related to β‐thalassemia such as hemopoiesis, heme biosynthesis, response to oxidative stress, inflammatory responses, immune responses, control of circadian rhythm, apoptosis, and other cellular activities. Conclusion We compare our findings with published results of RNA‐sequencing analysis of sickle cell disease and erythroblasts from a KLF1‐null neonate with hydrops fetalis, and recognize similarities and differences in their transcriptional expression patterns.

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Short sleep duration predicts risk of metabolic syndrome: A systematic review and meta-analysis

Cited by 219 publications

References 26 publications

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

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

Sleep duration and the risk of metabolic syndrome – a cross-sectional study

Gene expression in blood from an individual with β‐thalassemia: An RNA sequence analysis

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