scholarly journals Self-Reported Long Total Sleep Duration Is Associated With Metabolic Syndrome: The Guangzhou Biobank Cohort Study

Diabetes Care ◽  
2011 ◽  
Vol 34 (10) ◽  
pp. 2317-2319 ◽  
Author(s):  
T. Arora ◽  
C. Q. Jiang ◽  
G. N. Thomas ◽  
K.-b. H. Lam ◽  
W. S. Zhang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Sleep Duration

scholarly journals The association of sleep duration and metabolic syndrome in the Bandare-Kong cohort study, a cross-sectional survey (finding from PERSIAN cohort study)

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Shideh Rafati ◽  
Maryam Isheh ◽  
Abnoos Azarbad ◽  
Farhad Ghadiri Soufi ◽  
Arash Rahimi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Sleep Duration ◽  
Severity Score ◽  
Additive Models ◽  
Cross Sectional Survey ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Relationship

Abstract Background A variety of health problems, such as metabolic syndrome (MetS), have been linked to sleep disorders. While numerous epidemiological studies have shown a U-shaped relationship between sleep duration and poor health outcomes, the results were limited and inconsistent. This study was designed to evaluate the relationship between sleep duration and MetS. Methods This population-based study was conducted on the participants aged 35–70 of Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of Prospective Epidemiological Research Studies in IrAN (PERSIAN). MetS was diagnosed according to the National Cholesterol Education Program (NCEP) criteria and the Iranian-specific cut-off for waist circumference (≥ 95 cm). Sleep information was extracted through a standard questionnaire based on self-reported information. Data were analyzed by R software using generalized additive models (GAMs). A statistically significant level was considered as P < 0.05. Results A total of 3695 participants were included in the analyses. The mean age was 48.05 years (SD 9.36), and 2067 (55.9%) were female. The estimated Prevalence of MetS was 35.9%, and women appeared to be more likely to have MetS than men (P < 0.001). There was a non-linear and linear association between sleep duration and the risk of MetS in women and men, respectively. The lowest risk was observed among those with 7–7.5 h of sleep duration per night. Conclusion Long sleep duration was associated with increased risk of MetS and higher MetS severity score in both genders, while the short sleep duration increased the risk of Mets as well as MetS severity score just in women. The longitudinal studies would be suggested to assess the relationship between sleep quality and quantity components and MetS.

scholarly journals Does long sleep duration increase risk of metabolic syndrome in Azar cohort study population?

2018 ◽  
Vol 8 (4) ◽  
pp. 290-295 ◽  
Author(s):  
Alireza Ostadrahimi ◽  
Zeinab Nikniaz ◽  
Elnaz Faramarzi ◽  
Asghar Mohammadpoorasl ◽  
Khalil Ansarin ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Sleep Duration ◽  
Long Sleep ◽  
Increase Risk ◽  
Study Population

Thyroid function and metabolic syndrome: results from the population-based LifeLines Cohort study

2017 ◽  
Author(s):  
Bruce Wolffenbuttel ◽  
Hanneke Wouters ◽  
Sandra Slagter ◽  
Waateringe Robert van ◽  
Vliet-Ostaptchouk Jana van ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Thyroid Function ◽  
Population Based

2453-PUB: Changes in Metabolic Syndrome and Diabetes Risk: A Nationwide Longitudinal Cohort Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2453-PUB
Author(s):  
MIN-KYUNG LEE ◽  
HYUK-SANG KWON ◽  
KI-HO SONG ◽  
JAE HYUK LEE
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Diabetes Risk ◽  
Longitudinal Cohort Study ◽  
Longitudinal Cohort
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