Anthropometric indicators as predictors of serum triglycerides and hypertriglyceridemia in older adults

Coqueiro, Raildo Silva; Fares, Daniele; Barbosa, Aline Rodrigues; Passos, Tassla Dél Rei Oliveria; Reis-Júnior, Wanderley Matos; Fernandes, Marcos Henrique

doi:10.5935/medicalexpress.2014.04.08

Cited by 3 publications

(3 citation statements)

References 21 publications

(20 reference statements)

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“…This study also revealed that BMI-based screening of triglyceride was applicable when compared with other anthropometric measurements. 16 Likewise, other hospital-based studies done in India, Canada and others indicated presence of correlation between BMI and lipid profiles. [17][18][19] However, in this study no significant association was observed between local BMI cut-off points and other lipid profiles like high and low density lipoprotein.…”

Section: Discussionmentioning

confidence: 92%

“…Study done in India among adult population (≤ 60 years old) and aged group of population in Brazil (60 years old and above) revealed that anthropometric indices of waist to hip ratio was the best indicators for screening dyslipidemia (TG). 16,22 This discrepancy might be due to the difference in sample size, age difference or ethnic differences, which can be addressed by a large scale and multi-centered study involving different populations.…”

Section: Discussionmentioning

confidence: 99%

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<p>Validity of Anthropometric Cut-Offs for Early Diagnosis of Dyslipidemia Among Ethiopian Adults</p>

Kenate¹,

Tesfaye²,

Mogas³

et al. 2020

DMSO

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Introduction: Lack of regional-and local-based cutoff points of lipid profile and/or anthropometric measurements remains one of the challenges in prevention, early detection and control of non-communicable diseases. This study aimed to validate anthropometricbased screening of lipid profiles to develop locally appropriate optimal cutoff points for metabolic syndrome screening. Methods: A community-based cross-sectional study was conducted among randomly selected 977 adults in Jimma Town, Ethiopia. Data were collected using structured questionnaire, anthropometric and biochemical measurements. Data were analyzed using SPSS windows version 21 and Kappa statistic was used to validate the agreement between anthropometric measurement and lipid profile. 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 circumferencebased screening of dyslipidemia (TG≥150mg/dl) at ≥78.0cm had negative (−0.005) Kappa coefficient (Pp<0.001) among females (sensitivity: 72.6% and specificity: 26.7%). Yet, waist circumference at ≥83.7cm had slight Kappa coefficient of 0.13 (P<0.005) among males (sensitivity: 38% and 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% and specificity:36.8%). This study showed that anthropometric-based high-density lipoprotein measurement was not applicable. Conclusion: This study indicated that BMI-based screening of triglyceride was more applicable for both sexes than other anthropometric measurements. Waist circumference and waist-to-hip ratio-based screening of triglyceride were 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 locally validated cutoff points to be used for screening metabolic syndrome in the community.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

<p>Validity of Anthropometric Cut-Offs for Early Diagnosis of Dyslipidemia Among Ethiopian Adults</p>

Kenate¹,

Tesfaye²,

Mogas³

et al. 2020

DMSO

View full text Add to dashboard Cite

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“…This may be associated with a lack of physical activity, resulting in a variety of consequences, such as, for instance, cardio-metabolic disorders. Anthropometric indicators have been successfully applied to predict serum triglycerides and hypertriglyceridemia n older adults; 14 They have likewise been used to compare conditions of older adults in distinct regions of Brazil. 15 The objective of this study was to verify the prevalence of people being overweight, relate the eating habits and physical activity levels to gender in students 7 to 13 years old, and to compare their dietary habits and level of physical activity with those of their parents.…”

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confidence: 99%

Anthropometric profile, eating habits and physical activity levels of students in a city in the state of São Paulo

et al. 2016

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OBJECTIVE:To verify the prevalence of overweight in students aged 7 to 13 years in public schools in a city in the state of São Paulo; to compare the eating habits and physical activity levels of the students with those of their parents; to relate eating habits and physical activity levels to gender. METHODS:This was a transverse observational study. Eighty-two children of both genders, aged 7 -13 years, were evaluated, anthropometric data collected and body mass index for age was classified as per the Brazilian Ministry of Health "Food and Nutrition Monitoring System" (SISVAN); concurrently we applied a questionnaire for the analysis of physical activity levels and eating profiles for students and their parents. Data were analyzed through Kolmogorov-Smirnov tests, unpaired Student t test or Mann Whitney; for correlation analysis, we employed the Spearman or Pearson tests. RESULTS: In this study, half of the students were found to be overweight, with an increased abdominal circumference. We also observed that better eating habits correlated with greater physical activity. Students consumed more fried food, sweets and fruit and ate more often than their parents; few of these parents regularly perform physical activity. CONCLUSIONS: Excess weight has been found in half of the students evaluated in a small town with a high Human Development Index. It was also found that boys presented higher level of physical activity, number of meals and lower sweet intake. Furthermore, it was observed that better eating habits were associated with the level of physical activity.

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Metabolic syndrome and its association with changes in modifiable risk factors: Epifloripa aging study

Garcia

Confortin

Meneghini

et al. 2022

J Diabetes Metab Disord

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Anthropometric indicators as predictors of serum triglycerides and hypertriglyceridemia in older adults

Cited by 3 publications

References 21 publications

<p>Validity of Anthropometric Cut-Offs for Early Diagnosis of Dyslipidemia Among Ethiopian Adults</p>

<p>Validity of Anthropometric Cut-Offs for Early Diagnosis of Dyslipidemia Among Ethiopian Adults</p>

Anthropometric profile, eating habits and physical activity levels of students in a city in the state of São Paulo

Metabolic syndrome and its association with changes in modifiable risk factors: Epifloripa aging study

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