scholarly journals Differences of Stress, Sleep Quality and Metabolic Syndrome by Prolonged Fatigue in Early Adulthood

2019 ◽  
Vol 31 (2) ◽  
pp. 202
Author(s):  
Bok Nam Seo ◽  
Inja Kim
SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A394-A394
Author(s):  
K Kang ◽  
J Kim ◽  
H Ha ◽  
J Kim ◽  
Y Choi ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Bingyang Liu ◽  
Yue Li ◽  
Jiamei Guo ◽  
Yuting Fan ◽  
Ling Li ◽  
...  

Aims. To investigate the influence of body mass index (BMI) and its change from adolescence to adulthood (ΔBMI) on the risk of metabolic syndrome (MetS) in early adulthood. Methods. We selected 931 students from 12 to 16 years of age in Liaoyang City, China. Ninety-three participants from 18 to 22 years of age with complete baseline data were available for follow-up after 5 years. Statistical analysis determined the relationship of MetS at follow-up with baseline BMI (BMIb), ΔBMI, and follow-up BMI (BMIf). Results. ΔBMI was positively correlated with the change of waist circumference (ΔWC), systolic blood pressure (ΔSBP), triglycerides (ΔTG), uric acid, and glycosylated hemoglobin (ΔHbA1c) in follow-up ( p < 0.05 ). For every 1 kg/m2 increase in BMIb, ΔBMI, and BMIf, the risk of MetS at follow-up increased 1.201-fold, 1.406-fold, and 1.579-fold, respectively. Both BMIb and ΔBMI were predictive of MetS at follow-up, with prediction thresholds of 23.47 kg/m2 and 1.95 kg/m2. The participants were divided by the predicted BMIb and ΔBMI threshold values into four study groups. Interestingly, the group with lower BMI but a higher increase in BMI presented the same metabolic derangements and Mets% of the group with higher BMI but lower Δ BMI. Conclusion. Both BMI of adolescence and ΔBMI were predictive of MetS and cardiovascular risk factors in adulthood. Control of both variables in adolescents would be more effective in decreasing the risk of MetS in young adults than control of BMI alone.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1698-1698
Author(s):  
Sam Walker ◽  
Jamie Baum ◽  
Aubree Hawley ◽  
Angela Tacinelli ◽  
Drake Enderlin ◽  
...  

Abstract Objectives To determine if consuming four servings of white potatoes, processed potato products, or starchy carbohydrates for 16 weeks, as part of a higher protein diet, influence markers of cardiometabolic health in adults with metabolic syndrome. Methods Eleven adults with metabolic syndrome were randomly assigned to one of three higher protein diets incorporating different carbohydrate sources: 1) 4 servings of potatoes/week (P; n = 4; 4 female; 48.3 ± 9.4 y; 92.4 ± 9.6 kg; 36.3 ± 4.3 BMI); 2) processed potatoes (PP; n = 2; 1 female,1 male; 53.0 ± 15.0 y; 81.4 ± 17.0 kg; 29.6 ± 3.0 BMI); or 3) starchy carbohydrate (SC; n = 5; 4 female,1 male; 33.6 ± 5.0 y; 95.1 ± 18.2 kg; 35.3 ± 4.7 BMI). Data was collected at baseline, 4, 8,12, and 16 weeks. Glucose, cholesterol, and triglycerides were analyzed using a Cholestech LDX Analyzer. Height, weight, waist-to-hip ratio, blood pressure, mood, sleep quality, and grit were also measured. Body composition was measured using DEXA. Data were analyzed using Prism GraphPad version 8.0. Significance was set at P &lt; 0.05. Results There were no significant changes in body weight, BMI, waist-to-hip ratio, or body composition within or between each group. However, an increase in bone mineral density was observed within all groups(P &lt; 0.05). There was no effect of diet on plasma glucose and lipid levels. In addition, there was no change in blood pressure within each group. However, diastolic blood pressure decreased (P &lt; 0.05) in all groups. There were no changes in mood and grit. However, sleep quality improved within all groups (P &lt; 0.05). In addition, grip strength improved (P &lt; 0.05) within all groups. Conclusions The preliminary results of this study indicate that incorporating white potatoes, processed potatoes, or starch carbohydrates into a higher protein diet, does not influence markers of cardiometabolic health in adults with metabolic syndrome. Higher protein diets, may improve secondary outcomes such as sleep quality, bone mineral density, and grip strength. However, a larger study population is needed. Funding Sources Alliance for Potato Research and Education.


PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e54304 ◽  
Author(s):  
Hao-Chang Hung ◽  
Yi-Ching Yang ◽  
Horng-Yih Ou ◽  
Jin-Shang Wu ◽  
Feng-Hwa Lu ◽  
...  

2016 ◽  
Vol 18 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Golaleh Asghari ◽  
Anita Eftekharzadeh ◽  
Farhad Hosseinpanah ◽  
Sahar Ghareh ◽  
Parvin Mirmiran ◽  
...  

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Simon Simon

 ABSTRACTHigh death rate caused by non-transmitted diseases in the world is begun with metabolic syndrome in human beings such the increase in IMT (Body Mass Index) to be obesity, the increase in blood pressure to be hypertension, the increase in blood glucose to be diabetes mellitus, and abnormality of triglycerides, and  HDL cholesterol. Many factors which trigger the indicator abnormality, and of them is bad sleep quality. The research used cross sectional design by analyzing the correlation between sleep quality and 5 metabolic syndrome indicator in female nurses in the operation room of Adam Malik Medan hospital. Sleep quality was measured by using questionnaire of Pittsburg Sleep Quality Index (PSQI), body height and weight were measured to get IMT value, blood pressure was measured by using tensimeter, blood glucose and blood lipid were measured by getting the respondent’s vena blood samples. The data were processed and analysis with independent t-test.The result with independent t-test showed that there was significant difference in IMT (sig=0,003), systolic blood pressure (sig=0,028), and fasting blood glucose content (sig=0,00). However, there was no significant difference in trigliyceride content (sig=0,519), HDL cholesterol content (sig=0,300),). The conclusion was that sleep quality was correlated with three metabolic syndrome indicators: IMT, blood pressure, and blood glucose content, but there was no correlation with trigliyceride and HDL cholesterol.Keywords: Sleep Quality, Metabolic Syndrome , T-Test, 


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