Relation between anthropometric measurements and serum lipid profile among cardio-metabolically healthy subjects: A pilot study

Background: Excess bodyweight is the sixth most important risk factor contributing to the overall burden of disease worldwide. Overweight and obesity have been called a global epidemic by the World Health Organization. The epidemic reflects progressive decreases in physical activity, together with substantial dietary changes with passive over-consumption of energy despite the neurobiological processes controlling food intake. This pilot study was undertaken to find out the impact of yoga practice in overweight and obese individuals.Methods: total of 32 subjects with BMI, ≥23to ≤40 were selected for the study for a single group pre-post trial. The subjects had undergone yogic intervention for one hour in the morning for 10 days. The changes in anthropometric measures, body composition and serum lipid profile were assessed before and after 10 days of yoga therapy.Results: The data obtained was verified for normal distribution and analysed using paired t-test with SPSS (version 20.0) package. Significant decrease in body weight, BMI, triglycerides and total cholesterol in obese subjects and a significant decrease in body weight, BMI and triglycerides of overweight subjects was observed.Conclusions: The study demonstrates the efficacy of yogic practices on anthropometric measures and lipid profile subjects with overweight and obesity.

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Correlation of anthropometric indices with lipid profile indices among Malay obese and non-obese subjects in Malaysia

Nutrition & Food Science ◽

10.1108/nfs-01-2020-0008 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Muhammad Ilyas Nadeem ◽

Yasrul Izad Abu Bakar ◽

Sana Akram ◽

Atif Amin Baig

Keyword(s):

Lipid Profile ◽

Serum Lipid ◽

Anthropometric Measurements ◽

International Standards ◽

Serum Lipid Profile ◽

Volume Index ◽

High Density Lipoproteins ◽

Anthropometric Indices ◽

Content Type ◽

Obese Male

Purpose This study aims to determine the correlation of anthropometric measurements with serum lipid profile among Malay subjects in Kuala Terengganu, Malaysia. Design/methodology/approach This cross-sectional study was conducted in Kuala Terengganu on a total of 193 individuals aged 18-60 years. Subjects were recruited via direct interview as per inclusion criteria and anthropometric measurements, i.e. body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio, abdominal volume index and conicity index, were taken using International Standards for Anthropometric Assessment Guidelines. Fasting blood samples were collected for serum lipid profile analysis that measures triglyceride (TG), total cholesterol (TC), high-density lipoproteins (HDL), low-density lipoproteins (LDL), TG/HDL, TC/HDL and LDL/HDL. Besides socio-demographic characteristics, means and association of anthropometric parameters with lipid profiles were performed using simple linear regression and multivariate-adjusted regression analysis. Findings The mean age of obese (male [39.2 ± 8.7] and female [41.1 ± 1.0]) and non-obese (male [29.8 ± 1.3] and female [33.3 ± 1.3]) respondents was compared. Means of anthropometric indices and lipid profile were significantly (p < 0.001) higher in obese than in non-obese group. Multivariate-adjusted regression showed that weight and BMI increased risks for prevalent high TC, TG, LDL, TC/HDL, TG/HDL, LDL/HDL, hypercholesterolemia, hypertriglyceridemia and dyslipidemia. Regardless of sex, age and prevalent obese status, WHR increased risks for high prevalence of TC, TG, LDL, TC/HDL and LDL/HDL, and presents an independent risk factor for hypercholesterolemia and dyslipidemia. WC was highly associated with TG, while HC was associated with atherogenic lipid profile ratios: TC/HDL, TG/HDL and LDL/HDL. Originality/value In conclusion, the lipid profile (TC, TG and TG/HDL) of triglyceridemia and hypercholesteremia is highly correlated with anthropometric measurements (BMI, WC and WHR) of central obesity that predict obesity-associated cardiac risks.

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