scholarly journals Association of skipping breakfast and short sleep duration with the prevalence of metabolic syndrome in the general Japanese population: baseline data from the Japan Multi-Institutional Collaborative Cohort Study

2021 ◽  
pp. 101613
Author(s):  
Sakurako Katsuura-Kamano ◽  
Kokichi Arisawa ◽  
Hirokazu Uemura ◽  
Tien Van Nguyen ◽  
Toshiro Takezaki ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Sleep Duration ◽  
Japanese Population ◽  
Baseline Data ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
General Japanese Population ◽  
Skipping Breakfast

scholarly journals Potential Association between Breakfast Skipping and Concomitant Late-Night-Dinner Eating with Metabolic Syndrome and Proteinuria in the Japanese Population

Scientifica ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ayano Kutsuma ◽  
Kei Nakajima ◽  
Kaname Suwa
Keyword(s):  
Metabolic Syndrome ◽  
Japanese Population ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Late Night ◽  
General Japanese Population ◽  
Breakfast Skipping ◽  
Unhealthy Eating ◽  
Skipping Breakfast

Skipping breakfast is considered to be an unhealthy eating habit linked to predispositions to obesity and type 2 diabetes. Because eating dinner late at night can elicit subsequent breakfast skipping, we investigated if skipping breakfast concomitant with late-night-dinner eating (LNDE) was associated with metabolic syndrome (MetS) and proteinuria in the general Japanese population. We examined self-reported habitual breakfast skipping and LNDE, MetS (modified ATP-III criteria), and proteinuria in a cross-sectional study of 60,800 Japanese adults aged 20–75 years. A total of 14,068 subjects (23.1%) skipped breakfast, of whom approximately half (52.8%) skipped breakfast alone (without LNDE). The percentages of subjects who skipped breakfast showed a J-shaped relationship with body mass index (BMI). Multivariate logistic regression analysis showed that skipping breakfast concomitant with LNDE (n= 6,645) was significantly associated with MetS and proteinuria, even after adjusting for relevant confounders (odds ratio (95% CI), 1.17 (1.08–1.28),P=0.0003, and 1.37 (1.24–1.52),P<0.0001, resp.). Skipping breakfast alone and LNDE alone were not associated with MetS and proteinuria, respectively. In conclusion, habitual breakfast skipping concomitant with LNDE may represent poorer eating behavior than skipping breakfast alone, associated with MetS, asymptomatic proteinuria, obesity, and low body weight in the general Japanese population.

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.

Short sleep duration as a risk factor for the development of the metabolic syndrome in adults

2013 ◽  
Vol 57 (6) ◽  
pp. 872-877 ◽  
Author(s):  
Jean-Philippe Chaput ◽  
Jessica McNeil ◽  
Jean-Pierre Després ◽  
Claude Bouchard ◽  
Angelo Tremblay
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
The Metabolic Syndrome

scholarly journals Short Sleep Duration Is Associated with Shorter Telomere Length in Healthy Men: Findings from the Whitehall II Cohort Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e47292 ◽  
Author(s):  
Marta Jackowska ◽  
Mark Hamer ◽  
Livia A. Carvalho ◽  
Jorge D. Erusalimsky ◽  
Lee Butcher ◽  
...  
Keyword(s):  
Cohort Study ◽  
Telomere Length ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Healthy Men ◽  
Short Sleep

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

2014 ◽  
Vol 18 (4) ◽  
pp. 293-297 ◽  
Author(s):  
Bo Xi ◽  
Dan He ◽  
Min Zhang ◽  
Jian Xue ◽  
Donghao Zhou
Keyword(s):  
Systematic Review ◽  
Metabolic Syndrome ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Short Sleep

scholarly journals Short Sleep Duration Increases Metabolic Impact in Healthy Adults: A Population-Based Cohort Study

SLEEP ◽  
2017 ◽  
Author(s):  
Han-Bing Deng ◽  
Tony Tam ◽  
Benny Chung-Ying Zee ◽  
Roger Yat-Nork Chung ◽  
Xuefen Su ◽  
...  
Keyword(s):  
Cohort Study ◽  
Sleep Duration ◽  
Population Based ◽  
Healthy Adults ◽  
Short Sleep Duration ◽  
Short Sleep

scholarly journals Sleep Duration and the Risk of Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianian Hua ◽  
Hezi Jiang ◽  
Hui Wang ◽  
Qi Fang
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Studies ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep ◽  
Increased Risk ◽  
Long Sleep ◽  
Cross Sectional Studies

Objective: Epidemiological studies have reported inconsistent findings for the association between sleep duration and metabolic syndrome. We aimed to clarify the effects of short and long sleep durations on metabolic syndrome in adults by performing a meta-analysis.Methods: Adopting random-effects models, this study analyzed the effects of short and long sleep durations based on data from prospective cohort studies and cross-sectional studies retrieved from four electronic databases from inception to May 2020.Results: We collected data from 235,895 participants included in nine prospective cohort studies and 340,492 participants included in 27 cross-sectional studies. In cohort studies, short sleep duration was associated with an increased risk of metabolic syndrome (RR, 1.15; 95% CI, 1.05–1.25, I2 = 63.1%, P &lt; 0.001) compared with normal sleep duration. While long sleep duration was not associated with new-onset metabolic syndrome (RR, 1.02, 0.85–1.18, I2 = 38.0%, P = 0.491). In cross-sectional studies, both short (OR, 1.06, 95% CI, 1.01–1.11, I2 = 66.5%, P &lt; 0.001) and long (OR, 1.11, 95% CI, 1.04–1.17, I2 = 73.8%, P &lt; 0.001) sleep durations were associated with a high prevalence of metabolic syndrome.Conclusions: Only a short sleep duration was associated with an increased risk of metabolic syndrome. Future studies should address whether the association is casual and modifiable.

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