A comparison between body mass index and waist circumference for identifying continuous metabolic syndrome risk score components in Iranian school-aged children using a structural equation modeling approach: the CASPIAN-V study

doi:10.1007/s40519-020-00971-y

Multicenter Study

. 2021 Jun;26(5):1609-1616.

doi: 10.1007/s40519-020-00971-y. Epub 2020 Aug 9.

A comparison between body mass index and waist circumference for identifying continuous metabolic syndrome risk score components in Iranian school-aged children using a structural equation modeling approach: the CASPIAN-V study

Affiliations

¹ Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
² Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
³ Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
⁴ Department of Biostatistics and Epidemiology, School of Health, Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran. mqorbani1379@yahoo.com.
⁵ Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. mqorbani1379@yahoo.com.
⁶ Department of Pediatrics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
⁷ Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
⁸ Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

PMID: 32772336
DOI: 10.1007/s40519-020-00971-y

Multicenter Study

A comparison between body mass index and waist circumference for identifying continuous metabolic syndrome risk score components in Iranian school-aged children using a structural equation modeling approach: the CASPIAN-V study

Hanieh-Sadat Ejtahed et al. Eat Weight Disord. 2021 Jun.

. 2021 Jun;26(5):1609-1616.

doi: 10.1007/s40519-020-00971-y. Epub 2020 Aug 9.

Authors

Affiliations

¹ Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
² Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
³ Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
⁴ Department of Biostatistics and Epidemiology, School of Health, Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran. mqorbani1379@yahoo.com.
⁵ Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. mqorbani1379@yahoo.com.
⁶ Department of Pediatrics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
⁷ Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
⁸ Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

PMID: 32772336
DOI: 10.1007/s40519-020-00971-y

Abstract

Purpose: The purpose of this study was to investigate the association of anthropometric indices with continuous metabolic syndrome (cMetS) risk score components in a large population-based sample of children and adolescents.

Methods: This multi-centric study was performed on 3843 students aged 7-18 years who were selected by multistage, stratified cluster sampling method from 30 provinces of Iran. Demographic, anthropometric and biochemical factors were obtained and standardized residuals (z-scores) were calculated for MetS components. A structural equation modeling approach was applied to evaluate the relationships among the study variables and to implement the subsequent structural modeling.

Results: The mean age of the participants (52.3% boys) was 12.4 ± 3.05 years. Standardized scores of body mass index (ZBMI) and waist circumference (ZWC) had a direct effect on standardized scores of mean arterial pressure (ZMAP) (0.23 and 0.24 in boys and 0.22 and 0.23 in girls, respectively) and triglyceride (ZTG) (0.07 and 0.04 in boys and 0.02 and 0.06 in girls, respectively), but the effect of ZWC was stronger than ZBMI on these variables. Age, socioeconomic status and sedentary behaviors showed a positive direct effect on ZWC (0.01, 0.05 and 0.07 in boys and 0.05, 0.08 and 0.002 in girls, respectively). These variables induced indirect effects on cMets risk score components through ZWC.

Conclusion: The magnitude of association between WC and continuous metabolic syndrome risk score components was higher compared to BMI in school-aged children, emphasizing on paying more attention to central obesity in childhood.

Level of evidence: Level V, cross-sectional descriptive study.

Keywords: Continuous metabolic syndrome; Path analysis; Waist circumference.

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References

1. Ahrens W, Moreno L, Mårild S, Molnár D, Siani A, De Henauw S et al (2014) Metabolic syndrome in young children: definitions and results of the IDEFICS study. Int J Obes 38(S2):S4. https://doi.org/10.1038/ijo.2014.130 - DOI
1. Hwang I-C, Kim K-K, Jee S-H, Kang H-C (2011) Comparison of predictability of cardiovascular events between each metabolic component in patients with metabolic syndrome based on the revised national cholesterol education program criteria. Yonsei Med J 52(2):220–226. https://doi.org/10.3349/ymj.2011.52.2.220 - DOI - PubMed - PMC
1. Heshmat R, Heidari M, Ejtahed H-S, Motlagh ME, Mahdavi-Gorab A, Ziaodini H et al (2017) Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study. Diabetol Metab Syndr 9(1):89. https://doi.org/10.1186/s13098-017-0291-4 - DOI - PubMed - PMC
1. Kahn R, Buse J, Ferrannini E, Stern M (2005) The metabolic syndrome: time for a critical appraisal. Diabetologia 48(9):1684–1699. https://doi.org/10.1007/s00125-005-1876-2 - DOI - PubMed
1. Pandit D, Chiplonkar S, Khadilkar A, Kinare A, Khadilkar V (2011) Efficacy of a continuous metabolic syndrome score in Indian children for detecting subclinical atherosclerotic risk. Int J Obes 35(10):1318. https://doi.org/10.1038/ijo.2011.138 - DOI

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[1] Ahrens W, Moreno L, Mårild S, Molnár D, Siani A, De Henauw S et al (2014) Metabolic syndrome in young children: definitions and results of the IDEFICS study. Int J Obes 38(S2):S4. https://doi.org/10.1038/ijo.2014.130 - DOI

[2] Ahrens W, Moreno L, Mårild S, Molnár D, Siani A, De Henauw S et al (2014) Metabolic syndrome in young children: definitions and results of the IDEFICS study. Int J Obes 38(S2):S4. https://doi.org/10.1038/ijo.2014.130 - DOI

[3] Hwang I-C, Kim K-K, Jee S-H, Kang H-C (2011) Comparison of predictability of cardiovascular events between each metabolic component in patients with metabolic syndrome based on the revised national cholesterol education program criteria. Yonsei Med J 52(2):220–226. https://doi.org/10.3349/ymj.2011.52.2.220 - DOI - PubMed - PMC

[4] Hwang I-C, Kim K-K, Jee S-H, Kang H-C (2011) Comparison of predictability of cardiovascular events between each metabolic component in patients with metabolic syndrome based on the revised national cholesterol education program criteria. Yonsei Med J 52(2):220–226. https://doi.org/10.3349/ymj.2011.52.2.220 - DOI - PubMed - PMC

[5] Heshmat R, Heidari M, Ejtahed H-S, Motlagh ME, Mahdavi-Gorab A, Ziaodini H et al (2017) Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study. Diabetol Metab Syndr 9(1):89. https://doi.org/10.1186/s13098-017-0291-4 - DOI - PubMed - PMC

[6] Heshmat R, Heidari M, Ejtahed H-S, Motlagh ME, Mahdavi-Gorab A, Ziaodini H et al (2017) Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study. Diabetol Metab Syndr 9(1):89. https://doi.org/10.1186/s13098-017-0291-4 - DOI - PubMed - PMC

[7] Kahn R, Buse J, Ferrannini E, Stern M (2005) The metabolic syndrome: time for a critical appraisal. Diabetologia 48(9):1684–1699. https://doi.org/10.1007/s00125-005-1876-2 - DOI - PubMed

[8] Kahn R, Buse J, Ferrannini E, Stern M (2005) The metabolic syndrome: time for a critical appraisal. Diabetologia 48(9):1684–1699. https://doi.org/10.1007/s00125-005-1876-2 - DOI - PubMed

[9] Pandit D, Chiplonkar S, Khadilkar A, Kinare A, Khadilkar V (2011) Efficacy of a continuous metabolic syndrome score in Indian children for detecting subclinical atherosclerotic risk. Int J Obes 35(10):1318. https://doi.org/10.1038/ijo.2011.138 - DOI

[10] Pandit D, Chiplonkar S, Khadilkar A, Kinare A, Khadilkar V (2011) Efficacy of a continuous metabolic syndrome score in Indian children for detecting subclinical atherosclerotic risk. Int J Obes 35(10):1318. https://doi.org/10.1038/ijo.2011.138 - DOI

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A comparison between body mass index and waist circumference for identifying continuous metabolic syndrome risk score components in Iranian school-aged children using a structural equation modeling approach: the CASPIAN-V study

Affiliations

A comparison between body mass index and waist circumference for identifying continuous metabolic syndrome risk score components in Iranian school-aged children using a structural equation modeling approach: the CASPIAN-V study

Authors

Affiliations

Abstract

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References

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Research Materials

Abstract

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Cited by

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