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Prediction of cardiovascular disease risk by serum zinc and copper concentrations and anthropometric measurements.
Rashidmayvan, Mohammad; Mansoori, Amin; Aghasizadeh, Malihe; Dianati, Maryam; Barati, Sama; Sahranavard, Toktam; Darroudi, Susan; Ahari, Rana Kolahi; Esmaily, Habibollah; Ferns, Gordon; Sarabi, Mohammad Reza Mohammadtaghizadeh; Faridni, Reyhaneh; Ghayour-Mobarhan, Majid; Moohebati, Mohsen.
Afiliação
  • Rashidmayvan M; Department of Nutrition, Food Sciences and Clinical Biochemistry, School of Medicine, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
  • Mansoori A; Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Aghasizadeh M; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Dianati M; Student Research Committee, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
  • Barati S; Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Sahranavard T; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Darroudi S; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: darroudis981@mums.ac.ir.
  • Ahari RK; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Esmaily H; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran; Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Ferns G; Brighton and Sussex Medical School, Division of Medical Education, Brighton, United Kingdom.
  • Sarabi MRM; Department of Biology, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
  • Faridni R; Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Ghayour-Mobarhan M; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: ghayourm@mums.ac.ir.
  • Moohebati M; Cardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: mouhebatim@mums.ac.ir.
J Trace Elem Med Biol ; 83: 127385, 2024 May.
Article em En | MEDLINE | ID: mdl-38278053
ABSTRACT

INTRODUCTION:

We aimed to investigate the association between cardiovascular disease (CVD) and various anthropometric indices, as well as the serum levels of copper (Cu) and zinc (Zn), copper-zinc ratio (Cu/Zn ratio) and zinc-copper ratio (Zn/Cu ratio), in a large population sample from northeastern Iranian.

METHOD:

9704 individuals aged 35 to 65 were enrolled in the first phase of the study. After a 10-year follow-up, 7560 participants were enrolled into the second phase. The variables used in this study included demographic characteristics, such as gender and age; biochemical parameters including serum Zn, Cu, Cu/Zn ratio, and Zn/Cu ratio; anthropometric parameters including waist circumference (WC), body mass index (BMI), and waist-to-hip ratio (WHR). The relationship between the aforementioned indices and CVD was examined using decision tree (DT) and logistic regression (LR) models.

RESULTS:

A total of 837 individuals were diagnosed with CVD among the 7560 participants. LR analysis showed that BMI, age, WH zinc-copper ratio (Zn/Cu ratio), and serum Zn/Cu ratio were significantly associated the development of CVD in men, and WHR, age, BMI, serum Cu, and Cu/Zn ratio in women. DT analysis showed that, age was the most important predictor of CVD in both genders. 71% of women, older than 49 years, with a WHR≥ 0.89, serum Cu< 75 (µg/dl), BMI≥ 22.93 (kg/m2), and serum Cu≥ 14 (µg/dl), had the highest risk of CVD. In men, among those who were ≥ 53 years, with a WHR≥ 0.98, serum Zn/Cu ratio< 1.69, and BMI≥ 22.30, had the highest risk of CVD.

CONCLUSION:

Among Iranian adult population, BMI, age, and WHR were one of the predictors of CVD for both genders. The Zn/Cu ratio was CVD predictor for men while Cu/Zn ratio was CVD predictor for women.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: J Trace Elem Med Biol Assunto da revista: METABOLISMO / SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: J Trace Elem Med Biol Assunto da revista: METABOLISMO / SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irã