scholarly journals The effect of sleep duration on the risk of diabetes mellitus in an open population of men aged 45–64 years (international epidemiological studies)

2021 ◽  
Vol 13 (6) ◽  
pp. 23-28
Author(s):  
V. V. Gafarov ◽  
E. A. Gromova ◽  
D. O. Panov ◽  
L. V. Shcherbakova ◽  
A. N. Tripelgorn ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Sleep Duration ◽  
Fold Increase ◽  
Epidemiological Studies ◽  
Workplace Stress ◽  
Independent Effect ◽  
Short Sleep Duration ◽  
Self Assessment ◽  
Open Population

Objective: to study the effect of sleep duration on the 16-year risk of developing type 2 diabetes mellitus (DM) in an open population of men aged 45–64 years living in Novosibirsk.Patients and methods. In 2003–2005 during the IV screening (HAPIEE project), a representative sample of men aged 45–69 years (n=781; mean age – 56.48±0.2 years, response rate – 61%) was examined. A standard clinical and epidemiological examination was carried out: sleep duration was assessed using the Jenkins scale, the level of state-trait anxiety (STA) – using the Spielberger self-assessment scale, depression, life exhaustion, family and workplace stress – with MONICA-MOPSY scales. Social support was assessed with Berkman–Syme Social Network Index. The cohort was followed up for 16 years.Results and discussion. In the studied population of men aged 45–64 years, the most common sleep duration was 7 hours (44.7%), in second place – 8 hours of sleep (27.6%), in third place – 6 hours of sleep (16.4%). Among people with newly diagnosed DM, 7-hour sleep prevailed – 39.2%, 6- and 8-hour sleep – 25.3% each (÷2=7.774; df=5; p>0.05). In men with 5–6 hours of sleep, compared with men sleeping for 7–8 hours, we found a 1.72-fold increased 16-year risk of developing diabetes (95% CI 1.066–2.776; p<0.05), and in men aged 45–54 years – a 1.868-fold increase (95% CI 1.089–3.927; p<0.05). In the Cox-proportional multivariate model, an independent effect on the diabetes risk was observed for: 5–6 hours of sleep at night: hazard ratio (HR) 1.561 (95% CI 1.063–2.83; p<0.001), depression (HR 1.767; 95% CI 1.058–2.952; p<0.05), life exhaustion (HR 1.511; 95% CI 1.266–2.984; p<0.05), and low and medium-1 SNI (HR 1.956; 95% CI 1.074–3.560; p<0.05).Conclusion. Short and very short sleep duration could be defined as a major risk factor of DM.

scholarly journals A Meta-Analysis of a Cohort Study on the Association between Sleep Duration and Type 2 Diabetes Mellitus

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Huapeng Lu ◽  
Qinling Yang ◽  
Fang Tian ◽  
Yi Lyu ◽  
Hairong He ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Publication Bias ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Short Sleep Duration ◽  
Significant Difference

Objective. To study the association between sleep duration and the incidence of type 2 diabetes mellitus (T2DM) and to provide a theoretical basis for the prevention of T2DM through a meta-analysis. Methods. PubMed, Web of Science, Scopus, Embase, Cochrane Library, ProQuest, CNKI, Wanfang, VIP, and SINOMED were searched from their inception until May 2020. All cohort studies on the relationship between sleep duration and T2DM in adults were included. According to the inclusion and exclusion criteria, two authors independently assessed the literature and extracted the data. Metaregression and publication bias were evaluated, and sensitivity and meta-analyses were conducted with RevMan 5.3. Results. A total of 17 studies were collected, involving 737002 adults. The incidence of T2DM was 4.73% in short sleep duration (SSD) ( t ≤ 6   h ), 4.39% in normal sleep duration (NSD) ( 6   h < t < 9   h ), and 4.99% in long sleep duration (LSD) ( t ≥ 9   h ). The meta-analysis demonstrated that SSD increased the risk of T2DM compared with NSD ( RR = 1.22 , 95% CI: 1.15-1.29, P < 0.001 ), LSD increased the risk of T2DM compared with NSD ( RR = 1.26 , 95% CI: 1.15-1.39, P < 0.001 ), and the risk of T2DM has no significant difference between SSD and LSD ( RR = 0.97 , 95% CI: 0.89-1.05, P = 0.41 ). The sensitivity of each study was robust and the publication bias was weak. Conclusion. SSD or LSD can increase the risk of T2DM.

scholarly journals The links between Sleep Duration, Obesity and Type 2 Diabetes Mellitus.

2021 ◽  
Author(s):  
Christina Antza ◽  
Georgios Kostopoulos ◽  
Samiul Mostafa ◽  
Krishnarajah Nirantharakumar ◽  
Abd Tahrani
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Sleep Duration ◽  
Cell Function ◽  
Experimental Studies ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
The Impact

Global rates of obesity and Type 2 diabetes mellitus (T2DM) are increasing globally concomitant with a rising prevalence of sleep deprivation and sleep disorders. Understanding the links between sleep, obesity and T2DM might offer an opportunity to develop better prevention and treatment strategies for these epidemics. Experimental studies have shown that sleep restriction is associated with changes in energy homeostasis, insulin resistance and β-cell function. Epidemiological cohort studies established short sleep duration as a risk factor for developing obesity and T2DM. In addition, small studies suggested that short sleep duration was associated less weight loss following lifestyle interventions or bariatric surgery. In this article, we review the epidemiological evidence linking sleep duration to obesity and T2DM and plausible mechanisms. In addition, we review the impact of changes in sleep duration on obesity and T2DM.

scholarly journals The Role of Sleep Curtailment on Leptin Levels in Obesity and Diabetes Mellitus

Obesity Facts ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 214-221
Author(s):  
Maryam Mosavat ◽  
Mitra Mirsanjari ◽  
Diana Arabiat ◽  
Aisling Smyth ◽  
Lisa Whitehead
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Food Intake ◽  
Sleep Deprivation ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Obesity And Diabetes

Emerging evidence has identified sleep as a significant, but modifiable, risk factor for metabolic syndrome, diabetes, and obesity. Leptin, an adipocyte-derived peptide and a regulator of food intake and energy expenditure, has been shown to be associated with a short sleep duration in the pathophysiology of obesity and consequently type 2 diabetes. This review focuses on the current evidence indicating the effects of a short sleep duration on the regulation of leptin concentration in association with obesity and diabetes mellitus. In summary, the evidence suggests that sleep deprivation, by affecting leptin regulation, may lead to obesity and consequently development of type 2 diabetes through increased appetite and food intake. However, findings on the role of leptin in diabetes due to sleep deprivation are contradictory, and further studies with larger sample sizes are needed to confirm previous findings.

256: Short sleep duration is associated with the development of gestational diabetes mellitus

2015 ◽  
Vol 212 (1) ◽  
pp. S141
Author(s):  
Francesca Facco ◽  
Kathryn Reid ◽  
William Grobman ◽  
Corette Parker ◽  
Robert Silver ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep

scholarly journals The association between insulin therapy and depression in patients with type 2 diabetes mellitus: a meta-analysis

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e020062 ◽  
Author(s):  
Xiaosu Bai ◽  
Zhiming Liu ◽  
Zhisen Li ◽  
Dewen Yan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Insulin Therapy ◽  
Depressive Disorders ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Cochrane Library ◽  
Increased Risk

ObjectivesSeveral patients with type 2 diabetes mellitus (T2DM) have depressive disorders. Whether insulin treatment was associated with increased risk of depression remains controversial. We performed a meta-analysis to evaluate the association of insulin therapy and depression.DesignA meta-analysis.MethodsWe conducted a systematic search of PubMed, PsycINFO, Embase and the Cochrane Library from their inception to April 2016. Epidemiological studies comparing the prevalence of depression between insulin users and non-insulin users were included. A random-effects model was used for meta-analysis. The adjusted and crude data were analysed.ResultsTwenty-eight studies were included. Of these, 12 studies presented with adjusted ORs. Insulin therapy was significantly associated with increased risk of depression (OR=1.41, 95% CI 1.13 to 1.76, p=0.003). Twenty-four studies provided crude data. Insulin therapy was also associated with an odds for developing depression (OR=1.59, 95% CI 1.41 to 1.80, p<0.001). When comparing insulin therapy with oral antidiabetic drugs, significant association was observed for adjusted (OR=1.42, 95% CI 1.08 to 1.86, p=0.008) and crude (OR=1.61, 95% CI 1.35 to 1.93, p<0.001) data.ConclusionsOur meta-analysis confirmed that patients on insulin therapy were significantly associated with the risk of depressive symptoms.

scholarly journals The associations between different sleep patterns and osteoporosis based on the Osteoporosis Self-Assessment Tool for Asians

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Shaojun Wu ◽  
Pengbo Wang ◽  
Xiaofan Guo ◽  
Guozhe Sun ◽  
Ying Zhou ◽  
...  
Keyword(s):  
Postmenopausal Women ◽  
Sleep Duration ◽  
Assessment Tool ◽  
Sleep Patterns ◽  
Nocturnal Sleep ◽  
Short Sleep Duration ◽  
Self Assessment ◽  
Increased Risk ◽  
Daytime Nap ◽  
Osteoporosis Risk

Abstract Summary Based on the use of Osteoporosis Self-Assessment Tool for Asians (OSTA) to assess osteoporosis risk, we found that short sleep duration and taking a daytime nap had an increased risk of osteoporosis. Purpose To explore the associations between different sleep patterns with osteoporosis. Methods 3659 postmenopausal women (average age of 60 years) were divided into low, middle, and high osteoporosis risk categories based on the Osteoporosis Self-Assessment Tool for Asians (OSTA). After having collected by a standard questionnaire, total and nocturnal sleep duration was collapsed to form categories of ≤ 6 h, > 6 h and ≤ 7 h, > 7 h and ≤ 8 h, > 8 h and ≤ 9 h, > 9 h, and daytime nap duration of 0 h and > 0 h. Results As a categorical variable, the total sleep duration of ≤ 6 h per day (OR = 1.34, 95% CI 1.04–1.72), nocturnal sleep duration of ≤ 6 h per night (OR = 1.65, 95% CI 1.24–2.18), and taking a daytime nap (OR = 1.33, 95% CI 1.09–1.64) had higher osteoporosis risk after adjustment for covariates. As a continuous variable, after the adjustment for covariates, both longer total (OR = 0.86, 95% CI 0.78–0.94) and nocturnal sleep duration (OR = 0.83, 95% CI 0.76–0.91) had lower risk of osteoporosis risk while taking longer daytime nap (OR = 1.10, 95% CI 1.02–1.19) had higher osteoporosis risk. Conclusions Postmenopausal women with both short total and nocturnal sleep duration (6 h or less) and taking a daytime nap had increased osteoporosis risk as assessed by OSTA.

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