Anthropometric indicators of obesity as screening tools for low high‐density lipoprotein cholesterol in older adults: A cross‐sectional study

Low levels of high-density lipoprotein cholesterol (HDL-C) increase the risk of cardiovascular events and mortality in older individuals. Developing cost-effective screening tools for identifying this condition in large populations is essential. To evaluate the discriminatory capacity of anthropometric indicators of obesity in screening for low HDL-C among older adults. A cross-sectional population-based epidemiological study was conducted with 223 older individuals (57% women) living in a community. The following anthropometric indicators were evaluated: body mass index (BMI), waist circumference (WC), abdominal circumference (AC), body adiposity index (BAI), triceps skinfold (TSF), waist-hip ratio (WHR), waist-height ratio (WHtR), and conicity index (CIn). Low HDL-C was defined as values below 40 mg/dL. The prevalence of low HDL-C was 25.10% (men: 35.41%; women: 21.77%). Among older men, BAI showed the highest sensitivity (87.10%; accuracy: 0.70; 95% CI: 0.53-0.74), while WC had the highest specificity (83.05%; accuracy: 0.71; 95% CI: 0.60-0.80). Among older women, WHR demonstrated the highest sensitivity (100%; accuracy: 0.71; 95% CI: 0.62-0.79), and WHtR showed the highest specificity (67.68%; accuracy: 0.71; 95% CI: 0.62-0.79). BAI and WHR were the most effective indicators for screening older men and women with low HDL-C, respectively. Additionally, WC and WHtR were the most effective indicators for identifying older men and women without low HDL-C, respectively.

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Publication Details

Journal
Lipids
Published
2025-04-29
DOI
https://doi.org/10.1002/lipd.12447
Citations
1
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
1.88

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article

Anthropometric indicators of obesity as screening tools for low high‐density lipoprotein cholesterol in older adults: A cross‐sectional study

Emille Silva Santos, Cláudio Bispo de Almeida, Cézar Augusto Casotti, Sabrina da Silva Caires et al.
1 citations
Lipids
Obesity, Physical Activity, Diet
1.88
article

Anthropometric indicators of obesity as screening tools for low high‐density lipoprotein cholesterol in older adults: A cross‐sectional study

Emille Silva Santos, Cláudio Bispo de Almeida, Cézar Augusto Casotti, Sabrina da Silva Caires, Lucas dos Santos, Pabline dos Santos Santana, Yuri Silva de Souza, Paulo da Fonsêca Valença Neto, Débora Jesus da Silva, Raquel dos Santos Barbosa
article en
1 citations

Abstract

Low levels of high-density lipoprotein cholesterol (HDL-C) increase the risk of cardiovascular events and mortality in older individuals. Developing cost-effective screening tools for identifying this condition in large populations is essential. To evaluate the discriminatory capacity of anthropometric indicators of obesity in screening for low HDL-C among older adults. A cross-sectional population-based epidemiological study was conducted with 223 older individuals (57% women) living in a community. The following anthropometric indicators were evaluated: body mass index (BMI), waist circumference (WC), abdominal circumference (AC), body adiposity index (BAI), triceps skinfold (TSF), waist-hip ratio (WHR), waist-height ratio (WHtR), and conicity index (CIn). Low HDL-C was defined as values below 40 mg/dL. The prevalence of low HDL-C was 25.10% (men: 35.41%; women: 21.77%). Among older men, BAI showed the highest sensitivity (87.10%; accuracy: 0.70; 95% CI: 0.53-0.74), while WC had the highest specificity (83.05%; accuracy: 0.71; 95% CI: 0.60-0.80). Among older women, WHR demonstrated the highest sensitivity (100%; accuracy: 0.71; 95% CI: 0.62-0.79), and WHtR showed the highest specificity (67.68%; accuracy: 0.71; 95% CI: 0.62-0.79). BAI and WHR were the most effective indicators for screening older men and women with low HDL-C, respectively. Additionally, WC and WHtR were the most effective indicators for identifying older men and women without low HDL-C, respectively.

LipidsVol. 60(5)
Universidade do Estado da Bahia (BR), Southwest Bahia State University (BR), Universidade do Tocantins (BR), Ministério da Saúde (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado da Bahia
Reduced inequalities
Openalex Percentile: Top 16%
Obesity, Physical Activity, Diet
1.88
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