scholarly journals Cardiometabolic risk markers of normal weight and excess body weight in Brazilian adolescents

2016 ◽  
Vol 41 (6) ◽  
pp. 659-665 ◽  
Author(s):  
Silmara Salete de Barros Silva Mastroeni ◽  
Marco Fabio Mastroeni ◽  
Muryel de Carvalho Gonçalves ◽  
Guilherme Debortoli ◽  
Nilza Nunes da Silva ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Weight ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Lipoprotein Cholesterol ◽  
Socioeconomic Background ◽  
Excess Body Weight ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Risk Markers

Excess body weight leads to a variety of metabolic changes and increases the risk for cardiovascular diseases (CVD) in adulthood. The objective of this study was to investigate the presence of risk markers for CVD among Brazilian adolescents of normal weight and with excess body weight. The markers included blood pressure, C-reactive protein, homocysteine, tumor necrosis factor alpha, fibrinogen, fasting insulin and glucose, homeostasis model assessment of insulin resistance (HOMA-IR), leptin, total cholesterol, low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), and triglycerides. We calculated odds ratios (OR) using logistic regression and adjusted for potential confounders such as age, sex, physical activity, and socioeconomic background. Compared with normal weight subjects, overweight/obese adolescents were more likely to have higher systolic blood pressure (OR = 3.49, p < 0.001), fasting insulin (OR = 8.03, p < 0.001), HOMA-IR (OR = 8.03, p < 0.001), leptin (OR = 5.55, p < 0.001), and LDL-c (OR = 5.50, p < 0.001) and lower serum HDL-c concentrations (OR = 2.76, p = 0.004). After adjustment for confounders, the estimates did not change substantially, except for leptin for which the risk associated with overweight increased to 11.09 (95% CI: 4.05–30.35). In conclusion, excess body weight in adolescents exhibits strong associations with several markers that are established as causes of CVD in adults. This observation stresses the importance of primary prevention and of maintaining a healthy body weight throughout adolescence to reduce the global burden of CVD.

scholarly journals Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample

2020 ◽  
pp. jech-2019-213419
Author(s):  
Lisa Kakinami ◽  
Bärbel Knäuper ◽  
Jennifer Brunet
Keyword(s):  
Blood Pressure ◽  
Insulin Sensitivity ◽  
Weight Status ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Lipoprotein Cholesterol ◽  
Weight Cycling ◽  
Cross Sectional ◽  
Weight History ◽  
Cardiometabolic Markers

BackgroundWhether weight cycling (repeated weight loss and regain) is associated with cardiometabolic health is unclear. Study objective was to examine whether weight cycling since young adulthood (ie, 25 years of age) was associated with cardiometabolic markers.MethodsData from a nationally representative cross-sectional US sample (National Health and Nutrition Examination Survey, 1999–2014) were used. Weight history was based on self-reported weight at age 25, 10 years prior and 1 year prior to the survey (n=4190, 51% male). Using current self-reported weight as the anchor, participants were classified as (1) stable weight, (2) weight losers, (3) weight gainers and (4) weight cyclers. Cardiometabolic markers included fasting lipids, insulin sensitivity and blood pressure. Multiple linear regressions were used to analyse weight history (reference: stable weight) and adjusted for covariates. Analyses incorporated the sampling design and survey weights and were stratified by sex or weight status.ResultsCompared with females with stable weight, female weight cyclers had worse lipids and homeostasis model assessment for insulin resistance (HOMA-IR) (all ps<0.05). Compared with males with stable weight, male weight cyclers had worse high-density lipoprotein cholesterol (HDL) and HOMA-IR (ps<0.05). Weight cyclers with normal weight had worse HDL and low-density lipoprotein cholesterol (ps<0.05), and weight cyclers with overweight or obesity had worse HOMA-IR (p=0.05). Blood pressure was not associated.ConclusionWeight cycling is adversely associated with cardiometabolic markers but associations differ by sex and weight status. While weight cycling is consistently associated with worse cardiometabolic markers among females, results are mixed among males. Weight cycling is associated with worse lipid measures for normal weight persons, and marginally worse insulin sensitivity for those with overweight/obesity.

scholarly journals Glycaemic Control, Lipid Profile, Blood Pressure and Body Weight Status Among Diabetics in Rural Malaysia

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Hazizi AS ◽  
Zaitun Y ◽  
Kandiah M ◽  
Chan SP
Keyword(s):  
Blood Pressure ◽  
Body Weight ◽  
Blood Glucose ◽  
Glycaemic Control ◽  
Lipid Profile ◽  
Weight Status ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Body Weight Status

Introduction: Diabetes is associated with a high risk of cardiovascular disease. The management of blood glucose, dyslipidaemia and other modifiable risk factor, is a key element in the multifactorial approach to prevent complications of type 2 diabetes. Materials and Methods: A cross sectional study was conducted to determine the level of glycaemic control, lipid profile, blood pressure and body weight status among type 2 diabetics in rural Malaysia. A total of 237 diabetic subjects participated in this study. Physical examination was carried out, including measurements of height, weight, waist and hip circumferences, and systolic and diastolic blood pressure. Fasting venous blood samples were collected to determine the glucose level and lipid profile. Results: About 70% of the subjects had a high body mass index (BMI), equal to or above 25 kg/ m2. More than 60% of the subjects had systolic blood pressure ≥ 140 mmHg and/or diastolic ≥ 90 mmHg. Mean fasting blood glucose was 9.84±4.54 mmol/L. Mean total cholesterol was 5.18±1.35 mmol/L. High density lipoprotein cholesterol (HDLC) and triglyceride (TG) and glucose levels were higher in male than in female, but not statistically significant (p>0.05). However, low density lipoprotein cholesterol (LDLC) was higher in females than males (p<0.05). Mean HDLC was below 1.0 mmol/L in all subjects. Conclusion: Glycaemic control, lipid profile, blood pressure and body weight status were not satisfactory and may increase the risk of microvascular and macrovascular complications among these subjects. Appropriate intervention programs should be implemented for better diabetes control among rural subjects.

scholarly journals Birth weight and metabolic risk in women of different nutrition levels

2012 ◽  
Vol 65 (11-12) ◽  
pp. 483-488 ◽  
Author(s):  
Mirjana Milosevic ◽  
Biljana Srdic ◽  
Edita Stokic ◽  
Marina Rastovic ◽  
Tatjana Pavlica ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Birth Weight ◽  
Fat Mass ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Obese Women ◽  
Metabolic Disturbances ◽  
Lower Birth Weight

Introduction: Nowadays, obesity is one of the most important health problems in both developed and developing countries. Recent studies have shown a significant association of obesity and its complications with birth weight. The aim of our study was to analyze the effect of birth weight on the occurrence of metabolic disorders in normal weight and obese women. Material and Methods: The study group included 134 females of average age 41.71?11.56 years. In these women the relationship between birth weight and anthropometric and biochemical parameters, as well as with blood pressure values was analyzed. Results: Our results show that women with higher birth weight had higher values of the anthropometric indicators of fat mass and distribution (such as body mass index, total fat mass, waist circumference and hip circumference), as well as higher values of high density lipoprotein-cholesterol. In contrast, the values of systolic and diastolic blood pressure and low density lipoprotein-cholesterol were lower in women with higher birth weight. The analysis of metabolic profile in women of different nutritional status indicates that normal weight women with metabolic syndrome had a lower birth weight when compared with normal weight women without metabolic risk (3.15 vs. 3.40 kg, p>0.05). Conclusion: Higher birth weight is related with higher fat mass, while lower birth weight is related with metabolic disturbances. Birth weight seemed to be determinant of metabolic risk in normal weight women.

scholarly journals Circulating Omentin-1, Insulin Resistance and Lipid Profile Responses Following an Eight-week Aerobic Training Intervention Among Male Smokers 

2020 ◽  
Author(s):  
Seyed Maysam Mousavi ◽  
Ali Heidarianpour ◽  
Hassan Tavassoli
Keyword(s):  
Insulin Resistance ◽  
Exercise Training ◽  
Aerobic Exercise ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Aerobic Exercise Training ◽  
Lipoprotein Cholesterol ◽  
Control Group ◽  
Model Assessment

Abstract Background: Omentin-1 is a recently discovered circulating adipokine that plays a crucial role in modulating insulin resistance and diabetes. We investigated the effect of eight weeks of aerobic exercise training on serum omentin-1, insulin resistance and lipid profile in the smokers and non-smokers with normal weight. Methods: Nineteen male healthy and twenty male smokers were randomly assigned into healthy control group (C), healthy exercise group (E), control smoker group (CS) and exercise smoker group (ES). Exercise groups participated in an eight-week aerobic exercise training program (three times a week, 20-35 min per session at 55%-70% of maximum heart rate). Serum omentin-1 and insulin values were determined by ELISA and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), glucose and lipid profile was measured before and after the intervention. Paired samples t-test, one-way analysis of variance (One-way ANOVA) and post-hoc Tukey test were applied to analyze the data (p<0.05).Results: Aerobic exercise improved both serum omentin-1 and high lipoprotein cholesterol (HDL-C) in the exercise groups (p<0.05). Also, Exercise training reduced insulin, blood sugar, HOMA-IR, total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels (p<0.05). Omentin-1 was significantly correlated with insulin (r=-0.40, P=0.01), HOMA-IR (r=-0.38, P=0.04), TG (r=-0.40, P=0.01), TC (r=-0.49, P=0.02), LDL-C (r=-0.70, P=0.02) and HDL-C (r=0.55, P=0.03).Conclusion: The findings suggest that aerobic exercise-induced changes in omentin-1 in exercise trained smokers may be associated with the beneficial effects of exercise on reduced insulin resistance and lipid profile.

scholarly journals MON-LB304 The Construction of the Online Health Guidance Service for Life-Style Related Diseases (Kanazawa Slim Study)

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Mitsuhiro Kometani ◽  
Rie Oka ◽  
Ayaka Yasugi ◽  
Yuko Gondo ◽  
Akihiro Nomura ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Body Weight ◽  
Plasma Glucose ◽  
Life Style ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Controlled Study ◽  
Health Guidance ◽  
Specific Health

Abstract Background: Metabolic syndrome is a cluster of metabolic disorders including elevated blood pressure, high plasma glucose, excess body fat around the waist, and abnormal cholesterol or triglyceride levels. These conditions cause serious complications such as heart disease, stroke and type 2 diabetes. In Japan, specific health checkups and specific health guidance which focused on metabolic syndrome has been performed since 2008. Those who fall under certain criteria need to receive a medical treatment guidance from doctor, public health nurse or dietitian. Those who received health guidance receives a reassessment of improvement of their life-style 3-6 months later. However, the efficacy of this approach has not been elucidated. In addition, many persons who have metabolic syndrome do not receive this instruction. Recently, the image analysis technology using the artificial intelligence (AI) progresses rapidly. The smart device application “Asken” has an AI-powered photo analysis system which analyzes the photo of the entire meal, and delivers individualized messages and dietary feedbacks. In this study, we utilized the Internet of Things (IoT) device which includes Asken app, body composition analyzer and sphygmomanometer that can connect wirelessly. Objective: Our aim is to assess the efficacy of specific health guidance adding on IoT device. This is a multicenter, unblinded, non-randomized controlled study. Results: At the end of January 2020, we recruited 219 participants including 105 participants with IoT devices. We used 48 participants (32 with IoT and 16 without IoT) who had finished a reassessment 3 to 6 months after initial guidance. Results: Age, body weight (BW), body mass index (BMI), blood pressure (BP), fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), total cholesterol (T-Chol), high density lipoprotein cholesterol (HDL), low density lipoprotein cholesterol (LDL), non-HDL cholesterol (n-HDL), and triglyceride (TG), did not differ between IoT-use and control group. 6 months after initial guidance, the quantity of decrease of BW in IoT-use group was significantly larger than control (-2.5 ± 4.1 kg vs. 0.6±4.4, p = 0.03). In addition, the quantities of decrease of both T-Chol and n-HDL in IoT-use group were also significantly larger than control (T-Chol, -5.9 ± 32.0 vs. 14.3 ± 31.6, p = 0.02; n-HDL, -7.6 ± 29.0 vs. 9.4 ± 27.5, p = 0.01). Conclusion: Using IoT device might be useful for body weight loss and the improvement of mild hypercholesterolemia in those with metabolic syndrome.

Serum uric acid is associated with metabolic risk factors for cardiovascular disease in the Uygur population

2009 ◽  
Vol 34 (6) ◽  
pp. 1032-1039 ◽  
Author(s):  
Nan F. Li ◽  
Hong M. Wang ◽  
Jin Yang ◽  
Ling Zhou ◽  
Xiao G. Yao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Lipoprotein Cholesterol ◽  
Model Assessment

The prevalence of hyperuricemia is low in Uygurs, who have a high prevalence of cardiovascular risk factors such as hypertension, overweight–obesity, dyslipidemia, hyperglycemia, and insulin resistance (IR). This study sought to investigate the relationships between serum uric acid (UA) and these risk factors in this population. A cross-sectional study was conducted in Uygurs (859 males, 1268 females) aged 20 to 70 years. Demographic data, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), and fasting and postprandial blood were obtained, and biological measurements were determined. The mean of BMI, SBP, DBP, total cholesterol, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), triglycerides, fasting blood glucose, fasting insulin, and homeostasis model assessment insulin resistance index (HOMA-IR), and the prevalence of hypertension, IR, hyperglycemia, overweight–obesity, hypercholesteremia, hyper-LDL-c, and hypertriglyceridemia increased with UA but the prevalence of hypo-HDL-c decreased (p < 0.05). Logistic regression analysis showed that the odds ratios for IR, overweight–obesity, hypercholesteremia, hyper-LDL-c, and hypertriglyceridemia against the lowest UA group increased but decreased for hypo-HDL-c (p < 0.05). The UA in the hypo-HDL-c group was lower than that of the controls; the prevalence of hypo-HDL-c in hyperuricemia subjects was lower than in those with normal UA (p < 0.05). But the opposite results were observed between overweight–obesity, hyperglycemia, IR, hypercholesteremia, hypertriglyceridemia, and hyper-LDL-c and correspondence controls, respectively (p < 0.05). In Uygur, elevated UA is associated with overweight–obesity, hypercholesteremia, hyper-LDL-c, hypertriglyceridemia, hyperglycemia, and IR. The HDL-c level significantly increases with UA, whereas the prevalence of hypo-HDL-c decreases. Further studies are needed to clarify why UA is positively correlated to HDL-c.

scholarly journals Child Physical Activity Associations With Cardiovascular Risk Factors Differ by Race

2016 ◽  
Vol 28 (3) ◽  
pp. 397-406 ◽  
Author(s):  
Nicholas M. Edwards ◽  
Heidi J. Kalkwarf ◽  
Jessica G. Woo ◽  
Philip R. Khoury ◽  
Stephen R. Daniels ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Lipoprotein Cholesterol ◽  
Cross Sectional ◽  
The Relationship

Purpose:The objective of this study was to characterize the relationship between objectively-measured physical activity (PA) and cardiovascular risk factors in 7-year-old children and test the hypothesis that it differs by race.Methods:Cross-sectional study of 308 7-year-old children drawn from a major US metropolitan community. PA (moderate-to-vigorous, MVPA; light, LPA; and inactivity, IA) was measured by accelerometry (RT3). Cardiovascular risk factors included BMI, blood pressure, and serum lipids, glucose and insulin concentrations. General linear modeling was used to evaluate the independent associations between PA measures and cardiovascular risk factors and interactions by race.Results:In black children, greater time spent in PA was independently associated with lower levels of triglycerides (MVPA and LPA, both p < .01), glucose (MVPA, p < .05), and insulin (MVPA, p < .01); these associations were not evident in white children. Across races, greater inactivity was independently associated with greater low-density lipoprotein cholesterol in overweight participants (p < .01) but not in normal weight participants. No PA measure was associated with BMI, systolic blood pressure, or high-density lipoprotein cholesterol.Conclusions:In this cohort of 7-year-old children, the relationship between PA and some cardiovascular risk factors differed by race. These findings may have implications for targeting of PA promotion efforts in children.

Abstract 13507: The Role of Weight Loss in Mediating the Effects of a 2-year Caloric Restriction Regimen on Cardiometabolic Risk Markers in Individuals Without Obesity

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
James L Dorling ◽  
Leanne Redman ◽  
Eric Ravussin ◽  
Kim Huffman ◽  
Susan B RACETTE ◽  
...  
Keyword(s):  
Weight Loss ◽  
Caloric Restriction ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Model Assessment ◽  
Risk Markers ◽  
Mediation Analyses ◽  
Cardiometabolic Risk Markers ◽  
The Impact

Introduction: Caloric restriction (CR) improves cardiometabolic risk, even among individuals without obesity. However, it is unclear whether these aging-related benefits are mediated by weight loss. Mediation analyses inform mechanisms underlying relationships between an exposure and outcome. Using mediation analyses, our aim was to test if 2-year weight loss mediates the beneficial effects of CR on cardiometabolic risk markers in individuals without obesity. Methods: Participants without obesity were randomized 2:1 to CR or ad libitum (AL) as part of the 2-year trial, Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE). The CR group aimed to enact 25% CR for 2 years, while AL maintained habitual energy intake. Baseline and year 2 assessments included weight and cardiometabolic risk markers. Using the approaches of Valeri and VanderWeele, mediation was quantified as the natural indirect effect (NIE), defined as the impact of an exposure on an outcome through a mediator. Here, the NIE was the effect of CR (exposure) on cardiometabolic risk markers (outcome) that was accounted for by weight change (mediator). Results: In total, 117 and 71 participants in the CR and AL groups, respectively, completed the trial. The CR group achieved 11.9 (± 0.7)% CR and 7.6 (± 0.3) kg of weight loss ( P < 0.01 versus AL). Weight loss significantly mediated the CR-induced improvements in total cholesterol (NIE = -10.4 ± 3.5 mg/dL), low-density lipoprotein cholesterol (NIE = -8.5 ± 2.8 mg/dL), high-density lipoprotein cholesterol (NIE = 2.9 ± 1.3 mg/dL), triglycerides (NIE = -0.20 ± 0.05 log mg/dL), the homeostatic model assessment of insulin resistance (NIE = -0.22 ± 0.06), and C-reactive protein (NIE = -0.39 ± 0.15 log ug/mL) ( P ≤ 0.02). Weight loss did not mediate CR-induced reductions in systolic (NIE = -0.9 ± 1.4 mmHg) and diastolic (NIE = -1.0 ± 1.1 mmHg) blood pressure ( P ≥ 0.37). Conclusion: In individuals without obesity, CR-induced improvements in multiple cardiometabolic risk markers are driven by weight loss after 2 years. These findings emphasize that, even in individuals without obesity, weight loss after prolonged CR plays a role in improving cardiometabolic disease risk; however, some CR benefits still occur independent of weight loss.

scholarly journals Aerobic Exercise Training Effects on Omentin-1, Insulin Resistance and Lipid Profile Among Male Smokers

2020 ◽  
Author(s):  
Seyed Maysam Mousavi ◽  
Ali Heidarianpour ◽  
Hassan Tavassoli
Keyword(s):  
Insulin Resistance ◽  
Exercise Training ◽  
Aerobic Exercise ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Aerobic Exercise Training ◽  
Lipoprotein Cholesterol ◽  
Control Group ◽  
Model Assessment

Abstract Background: Omentin-1 is a recently discovered circulating adipokine that plays a crucial role in modulating insulin resistance and diabetes. We investigated the effect of eight weeks of aerobic exercise training on serum omentin-1, insulin resistance and lipid profile in the smokers and non-smokers with normal weight. Methods: Nineteen male healthy and twenty male smokers were randomly assigned into healthy control group (C), healthy exercise group (E), control smoker group (CS) and exercise smoker group (ES). Exercise groups participated in an eight-week aerobic exercise training program (three times a week, 20-35 min per session at 55%-70% of maximum heart rate). Serum omentin-1 and insulin values were determined by ELISA and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), glucose and lipid profile was measured before and after the intervention. Paired samples t-test, one-way analysis of variance (One-way ANOVA) and post-hoc Tukey test were applied to analyze the data (p<0.05).Results: Aerobic exercise improved both serum omentin-1 and high lipoprotein cholesterol (HDL-C) in the exercise groups (p<0.05). Also, Exercise training reduced insulin, blood sugar, HOMA-IR, total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels (p<0.05). Omentin-1 was significantly correlated with insulin (r=-0.40, P=0.01), HOMA-IR (r=-0.38, P=0.04), TG (r=-0.40, P=0.01), TC (r=-0.49, P=0.02), LDL-C (r=-0.70, P=0.02) and HDL-C (r=0.55, P=0.03).Conclusion: The findings suggest that aerobic exercise-induced changes in omentin-1 in exercise trained smokers may be associated with the beneficial effects of exercise on reduced insulin resistance and lipid profile.

scholarly journals Anthropometric Measureme nts, Dietary Intake and Lipid Profile of Hypertensive Young Adults (25-35 years): A Comparison Between Vegetarians and Non Vegetarians

2014 ◽  
Vol 2 (3) ◽  
pp. 122-130
Author(s):  
Prajakta Nande
Keyword(s):  
Blood Pressure ◽  
Body Weight ◽  
Young Adult ◽  
Lipid Profile ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
The Impact

Increasing prevalence of hypertension is a major health concern.Dietary habits and food choices play an important role in maintaining lipid levels.The aim of this study was to investigate the impact of dietary habits on lipid profile of young adult hypertensive males. Two hundred vegetarians (V) and two hundred non vegetarians (NV) stage I hypertensive young adult men from age group 25-35 yrs. Anthropometric indices like weight, height, waist circumference (WC), hip circumference (HC) and mid-upper-arm circumference (MUAC) were measured. Body mass index (BMI) and waist hip ratio (WHR) were computed using standard equations. 24 hour’s food intake data for each subject was collected for consecutive 3 days and energy and energy yielding nutrients were computed. Total cholesterol (T-C), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) and triglyceride (TG) levels were estimated. Very low density lipoprotein cholesterol (VLDL-C) was computed using standard equation.Insignificant difference was noticed between V and NV for BMI, WC and HC. In contrast, MUAC of NV was found to be significantly higher than V. NV had higher mean daily intake of energy, protein and fat but low mean daily consumption of carbohydrate as compared to V.NV had higher mean values of systolic blood pressure (SBP) (p>0.05) and diastolic blood pressure (DBP) (0.01<p<0.05) than V. 30% NV were obese grade II. TC and LDL-C of NV were greater than V but HDL-C and TG of V were greater than NV (p>0.05). TC, LDL-C and VLDL-C among NV correlated positively (p<0.01) with body weight (r 0.5340, 0.4841 and 0.5921, respectively). Stronger relationships existed between HDL-C and body weight among both groups. BP, BMI and MUAC were more among NV than V. V showed better lipid profile than NV. This could be attributed to higher intake of energy and fat among NV.

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