Metabolic Syndrome Linked With Atherosclerosis in Young Adults

2005 ◽  
Vol 38 (4) ◽  
pp. 57
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults

Lower Urinary Tract Symptoms in Metabolic Syndrome in Young Adults

2018 ◽  
Vol 18 (3) ◽  
pp. 230-234 ◽  
Author(s):  
Svetlana I. Kseneva ◽  
Zakhar A. Yurmazov ◽  
Maksim S. Timofeev ◽  
Elena V. Borodulina ◽  
Vladimir V. Udut
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults ◽  
Urinary Tract ◽  
Lower Urinary Tract Symptoms ◽  
Lower Urinary Tract ◽  
Urinary Tract Symptoms ◽  
Lower Urinary

Predicting young-onset type 2 diabetes mellitus with metabolic syndrome components in healthy young adults

2018 ◽  
Vol 72 (9) ◽  
pp. e13238
Author(s):  
Chung-Ze Wu ◽  
Jin-Sheun Chen ◽  
Yuh-Feng Lin ◽  
Chang-Hsun Hsieh ◽  
Jiunn-Diann Lin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Young Adults ◽  
Young Onset ◽  
Onset Type ◽  
Metabolic Syndrome Components

O90 The prevalence of metabolic syndrome in young adults and its relation to other cardiac risk factors

2003 ◽  
Vol 14 ◽  
pp. S26
Author(s):  
A. Soysal ◽  
D. Soysal ◽  
R. Ucku ◽  
M. Koseoglu ◽  
Y. Demiral ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Young Adults ◽  
Cardiac Risk ◽  
Cardiac Risk Factors

scholarly journals Metabolic Syndrome Prevalence in Students Attending West Virginia University

2018 ◽  
Vol 7 (12) ◽  
pp. 487 ◽  
Author(s):  
Melissa Olfert ◽  
Amanda Dent ◽  
Rachel Wattick
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults ◽  
West Virginia ◽  
Type Ii Diabetes ◽  
Behavioral Interventions ◽  
Type Ii Diabetes Mellitus ◽  
Male Students ◽  
P Value ◽  
West Virginia University ◽  
Screening Process

Metabolic Syndrome (MetS) contributes to the development of cardiovascular disease (CVD) and type II diabetes mellitus (T2DM). Few studies have investigated the MetS risk of young adults (18–24 years old). This study aims to determine the prevalence of MetS in Appalachian and non-Appalachian students attending West Virginia University. The prevalence of MetS in this population was 15%. There was no difference in MetS prevalence between male students and female students (18.8% males and 11.1% females, p-value = 0.30), or between Appalachian students and non-Appalachian students (17.7% Appalachian and 10.0% non-Appalachian, p-value = 0.33). Identification of MetS early in life is needed in order to reduce the onset of chronic disease. Therefore, implementing a screening process to identify at-risk young adults will help tailor more effective behavioral interventions.

scholarly journals Associations of n-3 Fatty Acids and Fish Consumption with the Metabolic Syndrome in College Students (P18-022-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Nicole Karazurna ◽  
Caitlin Porter ◽  
Jesse Stabile Morrell ◽  
Sherman Bigornia
Keyword(s):  
Risk Factors ◽  
College Students ◽  
Metabolic Syndrome ◽  
Young Adults ◽  
Fish Consumption ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Age Related

Abstract Objectives Evidence suggests that omega-3 fatty acid (n-3 FA) and fish consumption may reduce the risk of the metabolic syndrome (MetS) in older adults. We previously reported that MetS components are prevalent among college students. Identifying modifiable risk factors of developing MetS and its components in young adults will inform potential targets to reduce the risk of age-related health conditions. Our objectives were to measure the cross-sectional impacts of n-3 FA and fish consumption on ≥2 or ≥3 MetS criteria and individual criteria among college students. Methods The College Health and Nutrition Assessment Survey is an on-going cross-sectional study at a public New England college. We examined data from Jan 2008 – May 2017. After excluding those with missing data our final sample size was n = 4271 for n-3 FA & n = 2072 for fish intake analyses. Diet was assessed by a 3 day food record; MetS criteria were collected in fasted state. We expressed n-3 FAs as g/1000 kcals/d. Servings of fish/week was obtained via an online survey. Individuals were categorized as consuming ≥ 2 servings/week or not. MetS was defined as meeting ≥ 3 criteria: elevated glucose, triglycerides, blood pressure, waist circumference, and low HDL. Analyses were conducted by logistic regression. Results The average n-3 FA intake was 0.4 g/1000 kcal/d ± 0.25 & 40% consumed ≥ 2 servings of fish/week. Prevalence estimates for meeting ≥ 2 criteria was 18.8% and 4.8% for MetS. In sex- and energy- adjusted models, n-3 FA consumption was inversely associated with MetS (OR = 0.38; 95%CI: 0.20, 0.71) and ≥2 MetS criteria (OR = 0.67; 95%CI: 0.49, 0.91). Associations were no longer significant after considering additional confounders. Fish consumption was not significantly associated with MetS or ≥2 criteria in any model. Further n-3 FAs and fish consumption was not associated with any individual MetS criteria. Conclusions In this cross-sectional study among college students, n-3 FA and fish consumption were not significantly associated with MetS outcomes. Further research is needed in this population using longitudinal study designs to understand long-term impact of n-3 consumption on the development of MetS and associated cardio metabolic risk factors in young adults. Funding Sources New Hampshire Agriculture Experiment Station and USDA National Institute of Food and Agriculture Hatch Project 1010738.

scholarly journals 0884 Sleep as a Mediator between Chronic Stress and Metabolic Syndrome, the Coronary Artery Risk and Development in Young Adults (CARDIA) Study

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A328-A329
Author(s):  
D A Johnson ◽  
K Knutson ◽  
L Colangelo ◽  
L Hale ◽  
S Redline ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults ◽  
Coronary Artery ◽  
Chronic Stress

Abstract P437: Early Insulin Resistance Responds To Lifestyle Interventions: The Premier Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
David P Cistola ◽  
Jamy D Ard ◽  
M. H Brenner ◽  
Alok K Dwivedi
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Young Adults ◽  
Controlled Trial ◽  
Analysis Of Covariance ◽  
Screening Tests ◽  
Lifestyle Interventions ◽  
Fasting Insulin ◽  
Insulin Levels ◽  
The Mean

Introduction: Compensatory hyperinsulinemia (CH) is the metabolic response to early insulin resistance. Elevated blood insulin compensates for insulin resistance in tissues, maintaining normal fasting glucose and lipid levels. Therefore, CH is undetected by conventional screening tests for diabetes and cardiovascular risk. Our prior work showed that CH is prevalent in the U.S., especially in teenagers, young adults and Hispanic populations. Moreover, CH in young adults doubles the risk for diabetes later in life, independent of other known risk factors. The current study tested the hypothesis that markers of early insulin resistance improve with behavioral lifestyle interventions. Methods: The parent PREMIER study was a randomized controlled trial to evaluate the effect of lifestyle interventions on blood pressure. Many subjects also had insulin resistance, prediabetes (PreD) and/or metabolic syndrome (MetS). The interventions included increased physical activity, weight loss, reduced sodium and alcohol intake, and the DASH diet (Dietary Approaches to Stop Hypertension). A total of 810 subjects were randomized into three intervention arms: “established”, “established plus DASH” and “advice only”. Established refers to the above interventions, except for DASH. The subjects were 62% women and 34% African Americans; the mean age was 50.0±8.9 years. Inclusion criteria were age ≥25, elevated BP and BMI of 18.5-45.0 kg/m 2 . Exclusion criteria were diabetes, history of cardiovascular event, heart failure, cancer or psychiatric hospitalization within the last 2 years. Here, the analysis of covariance method was used to determine whether markers of insulin resistance at 6 months improved in the established or established plus DASH arms compared with the advice-only arm, after adjusting for baseline values. The results are reported as geometric means and 95% confidence intervals (CI). Results: Subjects in the lifestyle intervention arms showed reduced fasting insulin and increased insulin sensitivity compared with the advice-only arm. The mean fasting insulin levels after 6 months of the established and established plus DASH interventions were 9.8 μIU/mL (95% CI: 9.3, 10.3) and 10.1 (9.6, 10.7), respectively, compared with 12.0 (11.4, 12.6) for advice only. After excluding subjects with PreD and/or MetS at baseline, insulin levels for established and established plus DASH were 8.0 (7.3, 8.7) and 8.3 (7.3, 9.0), respectively, as compared with 9.8 (9.1, 10.6) for advice only. Likewise, HOMA2 %S increased to 101.2 (92.5, 110.6) and 93.3 (85.6, 101.8), respectively, compared with 79.0 (73.0, 85.5) in the advice-only arm. Conclusion: Markers of insulin resistance improved with the PREMIER lifestyle interventions, even in subjects who did not meet the clinical criteria for prediabetes or metabolic syndrome. Early screening and intervention may improve diabetes prevention outcomes.

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