Perfil lipídico e glicídico de pacientes atendidos em ambulatório e sua correlação com índices antropométricos

Santos, Cleusa Lapa; Silva, Claudileide Sá; Araújo, Edvânia César de; Arruda, Ilma Kruze Grande de; Diniz, Alcides da Silva; Cabral, Poliana Coelho

doi:10.1016/j.repc.2012.05.017

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…In the present study, among the anthropometric variables, WC was best correlated with TG (positively) and HDL (negatively). There was no significant difference in lipid profile among the two BMI groups in males and females; in contrast, the Brazilian study[ 6 ] reports gender differences influencing the association between lipid parameters and anthropometric variables.…”

Section: Discussionmentioning

confidence: 76%

“…On the other aspect, anthropometric variables such as WC and WHR were found to be significantly higher for females than for males in the older age group. [ 6 ]…”

Section: Discussionmentioning

confidence: 99%

“…[ 5 ] Studies show excess adipose tissue, mostly central, is associated with high cardiovascular morbidity and mortality. [ 6 ] Diverse methods have been used to assess the amount and the distribution of body fat and its relationship to CVD. Anthropometric parameters, such as body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR), have the advantages in the daily clinical practice of being simple to measure with good reproducibility,[ 7 ] especially in a developing country like India.…”

Section: Introductionmentioning

confidence: 99%

“…Some of the previous studies reported internationally show there is a significant correlation between afore-mentioned anthropometric variables and lipid parameters,[ 10 11 12 ] while others opine there are no such statistically significant correlations. [ 6 13 ] Many Indian studies have been reported relating anthropometric parameters with lipid profile in type 2 diabetes[ 14 ] and also in hypothyroid patients. [ 15 ] Not many studies have been reported in this regard involving healthy subjects in India,[ 9 ] especially in Eastern India.…”

Section: Introductionmentioning

confidence: 99%

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Correlation between anthropometry and lipid profile in healthy subjects of Eastern India

Manjareeka¹,

Nanda²,

Mishra³

et al. 2015

J Mid-life Health

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Background:Cardiovascular diseases constitute one class of common contributors to morbidity and mortality worldwide. Prevalence of overweight and obesity has dramatically increased in developing countries and is related to cardiovascular risk factors. Anthropometric parameters have the advantages in daily clinical practice of being a simple to measure tool with good reproducibility, especially in a developing country like India. Aim of this study is to correlate some anthropometric variables with lipid parameters in healthy subjects and to assess the anthropometric variable which best reflects the altered lipid profile.Materials and Methods:A hospital based cross-sectional study was conducted after the Institutional Ethical Committee Clearance. Included participants (1187) were subjected to anthropometric measurements such as height, weight, waist circumference (WC), and hip circumference using standard procedures on the same morning of the day, as the blood sample was collected after overnight fast and estimated for fasting blood sugar and lipid profile.Results:There is a weak correlation between body mass index (BMI) and lipid parameters. Among all the anthropometric variables studied, WC is best correlated to lipid parameters. The mean values of lipid parameters were not significantly different in BMI <25 and BMI ≥25 groups.Conclusions:WC remains one of the simple and reliable variables which best reflects the lipid profile. In a developing country like India, where measurement of cardiovascular risk factors such as body fat saturation and lipid profile remains difficult in the rural population, WC may be used as an effective tool, without being used as a substitute.

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Section: Discussionmentioning

confidence: 76%

“…On the other aspect, anthropometric variables such as WC and WHR were found to be significantly higher for females than for males in the older age group. [ 6 ]…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Correlation between anthropometry and lipid profile in healthy subjects of Eastern India

Manjareeka¹,

Nanda²,

Mishra³

et al. 2015

J Mid-life Health

View full text Add to dashboard Cite

show abstract

“…2 The excess adipose tissue, mostly abdominal, is linked to a high prevalence of cardiovascular disease (CVD). 3 Obesity causes dyslipidemia where there are elevations of triglycerides (TG), production of low-density lipoprotein cholesterol (LDL-C) particles, and reduced high-density lipoprotein cholesterol (HDL-C). These abnormalities affect insulin resistance and lipid metabolism; apoprotein production and lipoprotein lipase regulation.…”

Section: Introductionmentioning

confidence: 99%

Association of Anthropometric Parameters with Lipid Profile among Adult Population of Kaski District, Nepal

Kathayat

Pokharel

Yadav

et al. 2021

Kathmandu Univ. Med. J.

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Background Anthropometric parameters of individuals are good at predicting functional impairment, mortality, and future cardiometabolic diseases. The relationship between anthropometric parameters and lipid profiles have been studied in different parts of the world. But to date, no such studies have been conducted in Nepal. Objective To investigate the association between anthropometric parameters and lipid profile in the adult population of Kaski district, Nepal. Method This study was carried out at Manipal Teaching Hospital, Pokhara, Kaski, Nepal. The fasting lipid profiles were analyzed in a total of 400 subjects aged > 18 years with an automated OCD Vitros 350 dry chemistry analyzer. The Kolmogorov-Smirnov test was used to test the normality of the data. The mean values of fasting lipids were compared within the subjects with different body mass index groups using ANOVA and waist circumference, waist-hip ratios, waist-height ratios, and neck circumference using independent samples t-test. The anthropometric indices evaluated were body mass index, waist circumference, waist-hip ratio, waist-height ratio, head circumference, neck circumference, and mid-upper arm circumference. Pearson’s correlation coefficients and multiple regression analysis were performed to identify the association between the lipid profile and anthropometric parameters. The difference was considered statistically significant when p values (two-tailed) were < 0.050. Result The mean values of the serum lipid parameters other than high-density lipoprotein cholesterol were found to be higher in the subjects with an above than normal BMI, waist circumference, waist-hip ratio, waist-height ratio, and neck circumference. Pearson’s correlation coefficient and multiple regression analysis showed that waist-height ratio best predicts serum triglycerides (β=0.622, p < 0.001) and high-density lipoprotein cholesterol (β=-0.711, p < 0.001) among all measured anthropometric parameters. Conclusion Among all the studied anthropometric parameters, the WHtR was found to be the most powerful predictor of serum triglycerides and high-density lipoprotein cholesterol.

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Association of sympathovagal imbalance with obesity indices, and abnormal metabolic biomarkers and cardiovascular parameters

Jagadeeswaran

Pal

et al. 2015

Obesity Research & Clinical Practice

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Perfil lipídico e glicídico de pacientes atendidos em ambulatório e sua correlação com índices antropométricos

Abstract: Among women, the anthropometric indices waist circumference, waist-to-height ratio and body mass index proved good predictors of HDL cholesterol, showing the importance of using these parameters in clinical practice and for screening of cardiovascular risk.

Cited by 9 publications

References 21 publications

Correlation between anthropometry and lipid profile in healthy subjects of Eastern India

Correlation between anthropometry and lipid profile in healthy subjects of Eastern India

Association of Anthropometric Parameters with Lipid Profile among Adult Population of Kaski District, Nepal

Association of sympathovagal imbalance with obesity indices, and abnormal metabolic biomarkers and cardiovascular parameters

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