Waist circumference,BMI,Lipid profile between 6-16 weeks of pregnancy as predictors of Gestational hypertension & Pre-eclampsia

2011 ◽  
Vol 3 (2) ◽  
pp. 274-276 ◽  
Author(s):  
Dr. Hina Kausar ◽  
◽  
Dr. Suchita Dabhadkar ◽  
Dr. Savita Mehendale ◽  
Dr. Yashwant S Kulkarni
2021 ◽  
Vol 26 ◽  
pp. 2515690X2110110
Author(s):  
Wiraphol Phimarn ◽  
Bunleu Sungthong ◽  
Hiroyuki Itabe

Aim. The efficacy of triphala on lipid profile, blood glucose and anthropometric parameters and its safety were assessed. Methods. Databases such as PubMed, ScienceDirect, Web of Science, and Thai Library Integrated System (ThaiLIS) were systematically searched to review current evidence of randomized controlled trials (RCT) on triphala. RCTs investigating the safety and efficacy of triphala on lipid profile, blood glucose and anthropometric parameters were included. Study selection, data extraction, and quality assessment were performed independently by 2 authors. Results. Twelve studies on a total of 749 patients were included. The triphala-treated groups showed significantly reduced low-density lipoprotein-cholesterol, total cholesterol and triglyceride in 6 studies. Five RCTs demonstrated triphala-treated groups led to statistically significant decrease in body weight, body mass index and waist circumference of obese patients. Moreover, triphala significantly decreased fasting blood glucose level in diabetic patients but not in people without diabetes. No serious adverse event associated with triphala was reported during treatment. Conclusions. This review summarized a current evidence to show triphala might improve the lipid profile, blood glucose, the body weight, body mass index and waist circumference under certain conditions. However, large well-designed RCTs are required to confirm this conclusion.


2019 ◽  
Vol 44 (1) ◽  
pp. 52-61 ◽  
Author(s):  
Hong Zhang ◽  
Shuang Shi ◽  
Xiu-Juan Zhao ◽  
Jun-Kui Wang ◽  
Zhong-Wei Liu ◽  
...  

Background/Aims: In heart failure patients with high prevalence of chronic renal disease (CKD), hospitalization and mortality, whether the lipid profile was associated with renal dysfunction remained unknown. The present study intended to clarify the association between the lipid profile and renal dysfunction in the heart failure patients. Methods: 336 hospitalized heart failure patients with left ventricle ejection fraction (LVEF) ≤45% and New York Heart Association (NYHA) class II-IV were enrolled. The estimated glomerular filtration rate (eGFR) < 90 mL/min·1.73 m2 was defined as renal dysfunction. The demographic, clinical data, blood samples and echocardiography were documented. The Pearson simple linear correlation was performed to evaluate the confounding factors correlated with eGFR. The significantly correlated factors were enrolled in Logistic regression as confounding factors to determine the association between the lipid profile and renal dysfunction in the heart failure patients. Results: 182 patients (54.2%) had renal dysfunction and 154 patients (45.8%) did not have renal dysfunction. The waist circumference, platelet counts, platelet distribution width (PDW), high density lipoprotein-cholesterol (HDL-C), apolipoprotein A1 (apoA1), albumin and left ventricular ejection fraction (LVEF) are positively correlated with eGFR (all P< 0.05). Meanwhile, the age, mean platelet volume (MPV), neutrophilic granulocyte percentage (NEUT%), urea nitrogen (BUN), creatinine and total bilirubin (TBIL) are negatively correlated with eGFR (all P< 0.05). The total cholesterol (TC), triglyceride, low density lipoprotein-cholesterol (LDL-C) and apolipoprotein B (apoB) show no correlation with eGFR. After the adjustment of sex, hypertension, diabetes mellitus, age, waist circumference, platelet counts, MPV, PDW, NEUT%, TBIL, albumin and LVEF, HDL-C is the only lipid factor still significantly associated with renal dysfunction in hospitalized heart failure patients (OR=0.119, P=0.003). Conclusion: Among the lipid profile of TC, triglyceride, LDL-C, HDL-C, apo A1 and apo B, the HDL-C is the only lipid factor significantly associated with renal dysfunction in hospitalized heart failure patients.


2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Nancy Janneth Molano-Tobar ◽  
Andres Felipe Villaquiran Hurtado ◽  
María del Mar Meza-Cabrera

Introduction: Overweight and obesity are pathologies that are increasing every day. This study was aimed to determine the relationship between anthropometric variables and lipid profiles in a sample of young university students, which leads to taking future prevention actions. Materials and Methods: A descriptive correlational study was conducted with a sample of 182 university students (88 women and 94 men), whose anthropometric variables and lipid profiles were evaluated. Data were analyzed using the SPSS Statistics 20 software. The sample distribution was analyzed using the Kolmogorov-Smirnov normality test. Results were expressed as mean ± standard deviation or percentage, as applicable. Significance was established under the Pearson’s correlation coefficient with p ≤0.05 value. Partial correlations were used to evaluate the relationship between each of the anthropometric risk indices and lipid profile values. Results: 46.7% of the population were overweight classifies as low-risk for waist circumference (45.1%), finding that the body adiposity index was healthy for their age in 64.5% of the participants. As for lipid profile, normal values for triglycerides were found in 60.4% of the participants and optimal values for total cholesterol in 56%. Correlational analysis with a significance of p≤0.005 was positive for gender with anthropometric variables such as Body Mass Index and waist circumference. Discussion: Anthropometric characteristics are closely related to the lipid profile behavior, as shown in this study, and the different research studies conducted with university students. Conclusions: Anthropometric variables are positively related to the gender of university students, finding an association between total cholesterol and triglycerides, which indicates a health risk factor. How to cite this article: Molano-Tobar Nancy Janneth, Villaquiran-Hurtado Andrés Felipe, Meza-Cabrera María del Mar. Relationship between Anthropometric Parameters and Lipid Profiles in University Students from Popayán (Cauca, Colombia). Revista Cuidarte. 2020; 11(2): e1079. http://dx.doi.org/10.15649/cuidarte.1079


2020 ◽  
Vol 5 (1) ◽  
pp. 1-10
Author(s):  
Riva Octarina ◽  
Leni Sri Rahayu ◽  
Luthfiana Nurkusuma Ningtyas

ABSTRACT                           Dyslipidemia is a major factor in cardiovascular disease which can cause atherosclerosis, ischemic stroke and peripheral arteries. Dyslipidemia can be predicted by anthropometric measurements. The purpose of this study was to determine the anthropometric measurements that have the highest validity in detecting lipid profiles compared to biochemical assessments in poly cardiac patients at Budhi Asih Regional Hospital, East Jakarta. Research conducted in cross sectional method with quota sampling. This study was conducted on 75 cardiac poly patients. Data was collected by anthropometric measurements of body weight, height, waist circumference and hip circumference. Data on lipid levels were obtained from hospital medical record data. The results showed the lipid profile of normal HDL patients (73.30%), Normal LDL (58.70%), Triglycerides normal (65.30%), Total cholesterol was not normal (52%). Anthropometric value of BMI Obesity (44%), high RLPP (85.3%) and high waist circumference (74.7%). The conclusion of the analysis showed that BMI had poor sensitivity and specificity values ​​for all lipid profiles (Se <60%). RLPP has a very good sensitivity value on all lipid profiles (se> 90%) but has an unfavorable specificity value (Sp <60%). Waist circumference has a relatively good sensitivity (Se> 70%) in LDL, Triglycerides and Total Cholesterol, whereas in HDL it is quite good (Se> 60%). But it has poor specificity (Sp <60%). The results of the three anthropometric measurements RLPP is the best measurement in detecting lipid profiles in cardiac poly patients compared with BMI and Waist Circumference. Keywords: Lipid Profile, BMI, RLPP, Waist Circumference, Sensitivity, Specificity  


2020 ◽  
Author(s):  
Sileshi Kenate ◽  
Temamen Tesfaye ◽  
Solomon Berhanu ◽  
Belay Zawdie ◽  
Yonas Tesfaye ◽  
...  

Abstract Background: Lack of regional and local based cut off points of lipid profile and/or anthropometric measurement remains one of the challenges in prevention, early detection and control of non-communicable diseases. This study was aimed to validate anthropometric based screening of lipid profile in order to prevent potential predictors of major non-communicable diseases.Methods: Community based cross sectional study was conducted among randomly selected 977 adults in Jimma Town, Ethiopia from July 20 to August 20, 2019. Data were collected using structured questionnaire, anthropometric and biochemical measurements. Data were analyzed using SPSS windows version 20 and Kappa statistic (K) was used to validate the agreement between anthropometric measurement and lipid profile of the study participants. A p-value of < 0.05 was considered statistically significant.Results: Body mass index (BMI) at ≥24.5 was used as screening of dyslipidemia (TG≥150mg/dl) with slight Kappa coefficient of 0.138 (P<0.001) among females while it was ≥22.2 among males with fair (0.275) Kappa coefficient (P<0.001). Waist circumference based screening of dyslipidemia (TG≥ 150mg/dl) at ≥78.0cm had negative (-0.005) Kappa coefficient (P<0.001) among females (sensitivity: 72.6% & specificity: 26.7%). Yet, waist circumference at ≥83.7cm had slight Kappa coefficient of 0.13(P<0.005) among males (sensitivity: 38% & specificity: 74.9%). Waist hip ratio based screening of dyslipidemia (TG≥150mg/dl) at ≥0.82 among females had negative (-0.001) Kappa coefficient (p=0.763) whereas among males at ≥0.88 there was a slight (0.105) Kappa coefficient of (p=0.002) (Sensitivity: 77.5% & Specificity: 36.8%). This study showed that anthropometric based of high-density lipoprotein measurement was not applicable. Conclusions: Findings of this study indicated that BMI-based screening of triglyceride was applicable for both sexes than other anthropometric measurements. Waist circumference and Waist to hip ratio-based screening of triglyceride was slightly applicable only for males. However, anthropometric based screening of high-density lipoprotein measurement was not applicable for both sexes. In conclusion, researchers and policy makers need to consider local cut off points to conduct screening nutritional status of the community.


BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e036684
Author(s):  
Marcelo Marreira ◽  
Lidiane Rocha Mota ◽  
Daniela Fátima Teixeira Silva ◽  
Christiane Pavani

IntroductionThe search for non-invasive procedures to reduce localised adiposity in aesthetics clinics has recently been increasing. In this context, procedures, such as cryolipolysis, ultracavitation, photobiomodulation (PBM) and other techniques have been proposed. Some studies have shown that PBM can be used in body contouring. However, there is no standardisation of the protocol. More than that, as in other techniques for reducing adipose tissue, the availability of triacylglycerol may affect the lipid profile in the blood, bringing consequences to the general health of an individual. This work will aim to compare the light wavelengths when using PBM as a technique for reducing the abdominal waist circumference, while also evaluating the efficacy of the method. Changes in the lipid profile in the blood, with a long-term follow-up, will also be appraised.Methods and analysisThis will be a controlled, randomised, double-blind, single-centred clinical trial. 174 patients will be recruited at the Nove de Julho University, Brazil, and then divided into three groups: Group A—RED PBM; Group B—INFRARED PBM; Group C—PLACEBO (Sham) treatment. The treatments will consist of eight sessions, two times a week, for 4 weeks. At each session, the participants will receive 30 minutes PBM (using a radiant exposure of 127 J/cm2), with an abdominal strap containing 4 LED clusters, with 72 devices each, following the indication of randomisation. All of the groups will receive 30 min of Aussie Current, at 4 kHz, modulated at 10 Hz, 40–60 mA. The main outcome of this study will be waist circumference reduction. The secondary variables will be anthropometric data, lipid profile, liver function and adipose tissue thickness, changes in the local microcirculation, and the quality of life and self-esteem. The analyses will be performed at four stages of the research, D0, end of the eighth session (D30), 15 days after the last session (FU15), 90 days after the last session (FU90) and 180 days after the last session (FU180).Ethics and disseminationThe Ethics Committee of the Nove de Julho University, Brazil, approved the modified version of this project under No. 3414146 on 26 June 2019. This study is not yet recruiting. The results obtained will be published in a peer-reviewed journal in the related field.Trial registration numberBrazilian Registry of Clinical Trials—ReBec (RBR-9bwxcx).


Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Paulo A Lotufo ◽  
Steven Jones ◽  
Michael Blaha ◽  
Cid Sabbag ◽  
Raul Dias-Santos ◽  
...  

Introduction: Psoriasis is associated with chronically heightened systemic inflammatory tone and increased risk for cardiovascular disease. It remains to be established if the psoriatic state itself associates with dyslipidemia. Hypothesis: The lipid profile of patients with psoriasis is more atherogenic compared to disease-free control patients. Methods: The concentration and size of lipoprotein particles were measured using nuclear magnetic resonance spectroscopy in 221 patients with a diagnosis of psoriasis (53.6% men; mean age=56.6 years; mild cases=31%; moderate/severe only skin=27%; arthritis=27%)) and 689 disease-free persons matched by sex and age. We compared means of lipoprotein particle concentration and size using a univariate general linear model and adjusting for body-mass index, waist circumference, diabetes, use of lipid lowering-drugs, as well as duration/severity of psoriasis. Results: Patients with psoriasis were more overweight, had larger waist circumference, and a higher frequency of diabetes and use of lipid-lowering drugs. Total LDL particle means (nmol/L) for the psoriasis and control groups were 1436 (1378-1494) vs. 1420 (1388-1452) (P=0.4), respectively. The mean concentration of IDL was higher in patients with psoriasis compared to controls: 143.6 (130.7-156.5) vs. 106.1 (99.1-113.2), P<0.01. Large and small LDL particle concentrations were similar between groups. Large VLDL/chylomicron particle concentrations (nmol/L) were higher in psoriasis patients compared to controls 6.1 (5.2-7.0) vs. 4.0 (3.6-4.5) (P<0.01). Total HDL particle and subfractions were not statistically different between groups. The mean size (nm) of VLDL was higher in psoriasis patients: 50.2 (49.2-51.2) vs. 46.2 (45.6-46.7) (P<0.001) for psoriasis and controls, respectively. In contrast, mean sizes of LDL and HDL particles were similar (P=0.3). Adjustment for covariates above mentioned did not change these findings. The absence/presence of arthritis did not change the results. Conclusion: Patients with psoriasis have a more atherogenic lipid profile compared to controls with higher levels of IDL and VLDL of large and small size. In addition, the greater mean size of VLDL particles in psoriasis compared to controls suggests enhanced secretion of triglyceride loaded VLDL, impaired lipolysis and impaired clearance of remnant IDL.


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