The role of body mass index or metabolic syndrome components causing depression in women: An observation from weight reduction clinical trial

2021 ◽  
Author(s):  
Ranakishor Pelluri ◽  
Srikanth Kongara ◽  
Jithendra Chimakurthy ◽  
Shriraam Mahadevan ◽  
Vanitharani Nagasubramanian
Keyword(s):  
Metabolic Syndrome ◽  
Clinical Trial ◽  
Body Mass Index ◽  
Body Mass ◽  
Weight Reduction ◽  
Metabolic Syndrome Components

scholarly journals Consistently Stable or Decreased Body Mass Index in Young Adulthood and Longitudinal Changes in Metabolic Syndrome Components

Circulation ◽  
2007 ◽  
Vol 115 (8) ◽  
pp. 1004-1011 ◽  
Author(s):  
Donald M. Lloyd-Jones ◽  
Kiang Liu ◽  
Laura A. Colangelo ◽  
Lijing L. Yan ◽  
Liviu Klein ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Young Adulthood ◽  
Longitudinal Changes ◽  
Metabolic Syndrome Components

PPARγ Pro12Ala Polymorphism Influences the Relationship between Dietary Fat Intake, Adiposity and Lipid Profile in Patients with Type 2 Diabetes

2018 ◽  
Vol 88 (5-6) ◽  
pp. 263-269 ◽  
Author(s):  
Fariba Koohdani ◽  
Gity Sotoudeh ◽  
Zahra Kalantar ◽  
Anahita Mansoori
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Fatty Acids ◽  
Polyunsaturated Fatty Acids ◽  
Body Mass ◽  
Dietary Fat ◽  
Fat Intake ◽  
Pro12ala Polymorphism ◽  
Dietary Fat Intake ◽  
Metabolic Syndrome Components

Abstract. Background: Peroxisome proliferator-activated receptor γ (PPARγ) Pro12Ala polymorphism (rs1801282) has been associated with metabolic syndrome components in some studies. Moreover, the PPARγ gene may mediate the physiological response to dietary fat intake in a ligand-dependent manner. Methods: Metabolic syndrome components (body mass index, waist circumference, and lipid profile) were determined in 290 type 2 diabetes mellitus patients in a cross-sectional study. DNA genotyping for determining PPARγ Pro12Ala polymorphism was conducted using the polymerase chain reaction-restriction length polymorphism method. A semi-quantitative food frequency questionnaire was used to assess the participants’ dietary intakes in the previous year. Results: There were significant differences between the two genotype groups of PPARγ Pro12Ala polymorphism, Ala carriers (Pro/Ala + Ala/Ala) versus non-Ala carriers (Pro/Pro), in terms of mean body mass index (p = 0.04) and waist circumference (p = 0.02). Below the median percentage of energy from monounsaturated and polyunsaturated fatty acids, Ala carriers had a higher body mass index (p = 0.01) compared to non-Ala carriers. Furthermore, a significant interaction between this single-nucleotide polymorphism and polyunsaturated fatty acids intake on serum triglyceride levels (p = 0.01) was seen, and in higher polyunsaturated fatty acids intake (≥ median) Ala carriers had lower triglyceride levels than non-Ala carriers (p = 0.007). Conclusions: The findings of the current study support a significant association between PPARγ Pro12Ala polymorphism and metabolic syndrome components, and they suggest that this polymorphism can modulate the biological response of dietary fat intake on body mass index and triglyceride levels.

Body mass index status is effective in identifying metabolic syndrome components and insulin resistance in Pacific Island teenagers living in New Zealand

Metabolism ◽  
2008 ◽  
Vol 57 (4) ◽  
pp. 511-516 ◽  
Author(s):  
Andrea M. Grant ◽  
Finau K. Taungapeau ◽  
Kirsten A. McAuley ◽  
Rachael W. Taylor ◽  
Sheila M. Williams ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
New Zealand ◽  
Body Mass ◽  
Pacific Island ◽  
Body Mass Index Status ◽  
Metabolic Syndrome Components

The Prognostic Significance of Body Mass Index and Metabolic Parameter Variabilities in Predialysis CKD: A Nationwide Observational Cohort Study

2021 ◽  
pp. ASN.2020121694
Author(s):  
Sehoon Park ◽  
Semin Cho ◽  
Soojin Lee ◽  
Yaerim Kim ◽  
Sanghyun Park ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Metabolic Parameters ◽  
Metabolic Parameter ◽  
Content Type ◽  
All Cause Mortality ◽  
Metabolic Syndrome Components ◽  
Worse Prognosis

BackgroundThe association between variabilities in body mass index (BMI) or metabolic parameters and prognosis of patients with CKD has rarely been studied.MethodsIn this retrospective observational study on the basis of South Korea’s national health screening database, we identified individuals who received ≥3 health screenings, including those with persistent predialysis CKD (eGFR <60 ml/min per 1.73 m2 or dipstick albuminuria ≥1). The study exposure was variability in BMI or metabolic parameters until baseline assessment, calculated as the variation independent of the mean and stratified into quartiles (with Q4 the highest quartile and Q1 the lowest). We used Cox regression adjusted for various clinical characteristics to analyze risks of all-cause mortality and incident myocardial infarction, stroke, and KRT.ResultsThe study included 84,636 patients with predialysis CKD. Comparing Q4 versus Q1, higher BMI variability was significantly associated with higher risks of all-cause mortality (hazard ratio [HR], 1.66; 95% confidence interval [95% CI], 1.53 to 1.81), P [for trend] <0.001), KRT (HR, 1.20; 95% CI, 1.09 to 1.33; P<0.001), myocardial infarction (HR, 1.19; 95% CI, 1.05 to 1.36, P=0.003), and stroke (HR, 1.19; 95% CI, 1.07 to 1.33, P=0.01). The results were similar in the subgroups divided according to positive or negative trends in BMI during the exposure assessment period. Variabilities in certain metabolic syndrome components (e.g., fasting blood glucose) also were significantly associated with prognosis of patients with predialysis CKD. Those with a higher number of metabolic syndrome components with high variability had a worse prognosis.ConclusionsHigher variabilities in BMI and certain metabolic syndrome components are significantly associated with a worse prognosis in patients with predialysis CKD.

Abstract P250: How to Successfully Manage Adolescents’ Metabolic Syndrome. Keep it Simple!

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Julie St-Pierre ◽  
Charles B Thibault ◽  
Johanne Harvey ◽  
Helene Fortin ◽  
JoAnnie Lapointe ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Motivational Interviewing ◽  
Body Mass ◽  
Weight Reduction ◽  
Lifestyle Changes ◽  
The Metabolic Syndrome ◽  
Family Approach

Background: The metabolic syndrome prevalence in adolescents is still rising (with up to 8% in some populations); this increase is mainly attributable to the obesity epidemic. Consequently, the long-term cardiovascular risk of these adolescents is very high. Unfortunately, despite this elevated risk, motivation and adherence to weight reduction programs still remain very low. Hypothesis: To verify if the combination of motivational interviewing, nutritional and physical education, and a close follow-up in a multidisciplinary, family-based weight-reduction pediatric clinic is effective to initiate and sustain beneficial lifestyle changes at 6 months. Subjects and Method: Fifty (50) families with adolescents (10-17 years old) characterized by obesity and metabolic syndrome were recruited with their families. The cardiometabolic risk profile (including body mass index, waist circumference, blood pressure, glucose, insulin, lipids and apolipoprotein B levels) of every subject was evaluated and explained to the adolescent and his/her parents. With motivational interviewing techniques and educative approaches, adolescents were brought to set up, at the first visit, a one month, one health challenge change. In subsequent visits, anthropometric measurements were recorded and, based on their first month’s success, new healthy challenges were proposed by the adolescent. Results: Adolescents participating in this program were initially highly motivated to initiate a one month healthy challenge with an average score of 7/10. Eighty percent of them chose to stop drinking juice or soda beverages as their first challenge. At one month, over 80% of them observe a weight reduction or no weight gain. At this point, the adolescents’ perception of success is the main source of motivation to introduce new health challenges in their life. At 3 and 6 months, healthy habits are still present in over 70% of them. Interestingly, these changes are accompanied by modifications in anthropometric covariables. At 6 months, we observe a significant reduction of body mass index (p=0.027) and waist circumference (p=0.047) in addition to a trend towards a reduction of mean weight (p=0.054). Conclusion: With counselling based on education, motivational techniques and a family approach, a high proportion of adolescents have initiated and maintained healthy changes. At 6 months, waist circumference reduction was the strongest change. This combined familial approach appears promising to reduce metabolic syndrome prevalence in adolescents. The prospective data collection is still ongoing, with the first adolescents recruited now reaching the one-year follow-up.

S1909 Gender Specific Risk Factors for Reflux Esophagitis in Asia: Role of Age, Body Mass Index, Metabolic Syndrome and Menopause

2009 ◽  
Vol 136 (5) ◽  
pp. A-290 ◽  
Author(s):  
Min-Jung Kang ◽  
Hye-kyung Jung ◽  
Hyesook Park ◽  
Ji Min Jung ◽  
Hyun Joo Song ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Reflux Esophagitis ◽  
Specific Risk ◽  
Gender Specific

scholarly journals Superior Role of Waist Circumference to Body-Mass Index in the Prediction of Cardiometabolic Risk in Dyslipidemic Patients

2019 ◽  
pp. 931-938
Author(s):  
Ľ. Cibičková ◽  
K. Langová ◽  
H. Vaverková ◽  
J. Lukeš ◽  
N. Cibiček
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Predictive Values ◽  
High Bmi

Coronary risk evaluation by conventional factors (age, gender, smoking, blood pressure and cholesterol) may further be specified by facets of the metabolic syndrome, namely insulin resistance, hypertriglyceridemia and obesity. Although obesity is usually defined as elevated body mass index (BMI), recent data indicate a superior role of waist circumference or hypertri-glyceridemic waist (HTGW) over BMI in the assessment of cardiometabolic risk. In dyslipidemic patients, the specific contributions of risky waist, HTGW or BMI have not been evaluated as yet. 686 dyslipidemic subjects (322 males and 364 females) were enrolled into a cross-sectional study. In each subject basic antropometry (i.e. waist circumference, HTGW, BMI) and laboratory parameters of lipid profile and insulin resistance were determined. Cardiometabolic risk was given by fulfilling the criteria (harmonized definition) of metabolic syndrome. The significance of risky waist, HTGW and BMI were assessed by comparing the respective predictive values for the presence of metabolic syndrome. Dyslipidemic patients with risky waist, HTGW or high BMI have a more atherogenic lipid profile and higher insulin resistance compared to those without risky waist, HTGW or high BMI. Risky waist is stronger predictor of metabolic syndrome (PPV 66 %, NPV 90 %) and thus posesa greater cardiometabolic risk than higher BMI per se does (PPV 42 %, NPV 97 %). The contribution of triglycerides (i.e. HTGW) to these predictive values is marginal (PPV 66 %, NPV 92 %). The present results highlight the superior role of waist circumference as a screening tool over BMI for the evaluation of cardiometabolic risk in dyslipidemic subjects. HTGW brings little additional benefit in risk stratification. Lower BMI proved to be optimal for identifying the subjects with inferior risk.

Sign in / Sign up

Export Citation Format

Share Document