Open Journal of Preventive Medicine

Volume 2, Issue 1 (February 2012)

ISSN Print: 2162-2477   ISSN Online: 2162-2485

Google-based Impact Factor: 0.43  Citations  

The body mass index (BMI) as a public health tool to predict metabolic syndrome

HTML  Download Download as PDF (Size: 373KB)  PP. 59-66  
DOI: 10.4236/ojpm.2012.21009    6,874 Downloads   12,983 Views  Citations

ABSTRACT

Objective: To analyze the body mass index (BMI) as an indicator of metabolic alterations, including the metabolic syndrome (MetS), at both individual level and public health level. Method: We recruited 3683 undergraduate students (17 - 24 years old) from México City identifying metabolic alterations, including the MetS, and comparing its prevalence by BMI ranges. We applied a sensitivity analysis to define BMI optimal cut-off point values. Results: We found 14.6% of MetS prevalence with a BMI average of 24.2%, and 34.5% of overweight prevalence (BMI ≥ 25). A BMI cut-off point value of 22.5 is suggested as an upper limit of a normal weight condition, only for public health purpose; while at individual level the BMI cut-off point of 25 was corroborated as the upper limit for a normal weight condition. A public health tool to estimate the MetS prevalence based on BMI percentages is proposed, and a study case is presented. Conclusion: BMI fails predicting at individual level both, healthy condition or metabolic alterations, when values are lower than 25. At population level, the BMI is a valuable public health tool to estimate MetS prevalence: based on the prevalence of MetS by BMI ranges of a sample of the population.

Share and Cite:

Murguía-Romero, M. , Jiménez-Flores, R. , Villalobos-Molina, R. , Mendoza-Ramos, M. , Reyes-Reali, J. , Sigrist-Flores, S. and Méndez-Cruz, A. (2012) The body mass index (BMI) as a public health tool to predict metabolic syndrome. Open Journal of Preventive Medicine, 2, 59-66. doi: 10.4236/ojpm.2012.21009.

Cited by

[1] Prevalence of Intestinal Parasites Co-infection and Associated Factors Among Pulmonary Tuberculosis Patients in Adama Town, East Shoa, Oromia, Ethiopia
Science, 2022
[2] Plasma glucose, HbA1c, insulin and lipid profile in Sudanese type 2 diabetic patients with cardiovascular disease: a case control study
, 2022
[3] GDF‐15 is associated with atherosclerosis in adults with transfusion‐dependent beta‐thalassemia
, 2022
[4] ANALISIS KONDISI FISIK CABANG OLAHRAGA PENCAK SILAT KATEGORI TANDING PUTRA KONI KABUPATEN SIDOARJO
Jurnal Prestasi Olahraga, 2022
[5] Relation Between of Nutritional Status and Vitamin C Conditions with Hemoglobin Levels in Anemic Pregnant Women in The Working Area of Pauh Public Health …
2021
[6] Effect of fennel essential oil and flaxseed oil on blood parameters, insulin resistance, and histological structure of ovaries in rats suffered polycystic ovary syndrome
2021
[7] Obesity and Overweight in Relation to Hypertension and Associated Risk in School Children
2021
[8] Assessment of nutritionnal status and nutrition in patients with arterial hypertension.
2020
[9] Predictor risk of diabetes mellitus in Indonesia, based on national health survey
2020
[10] HUBUNGAN KARAKTERISTIK DENGAN KEJADIAN KANKER PAYUDARA WANITA POSTMENOPAUSE
2020
[11] Hubungan Antara Aktivitas Fisik Dengan Indeks Massa Tubuh (IMT) Pada Remaja Usia 16-18 Tahun di SMA Negeri 2 Denpasar
2019
[12] Additive interaction of snoring and body mass index on the prevalence of metabolic syndrome among Chinese coal mine employees: a cross-sectional study
2019
[13] MASTERARBEIT/MASTER'S THESIS
2019
[14] THE RELATIONSHIP BETWEEN PHYSICAL ACTIVITIES AND BODY MASS INDEX (BMI) IN ADOLESCENTS AGED 16-18 YEARS OLD IN SMA NEGERI 2 …
2019
[15] Assessment of women health status by using anthropometry
2019
[16] HUBUNGAN INDEKS MASSA TUBUH DENGAN KEJADIAN ANEMIA PADA WANITA USIA SUBUR PRANIKAH
2019
[17] ХИГИЈЕНСКО-НУТРИТИВНИ СТАТУС КАО ПРЕДИКТОР ЗДРАВЉА СТАНОВНИШТВА СРБИЈЕ
2018
[18] Relationship between body mass index and outcomes for patients with oral squamous cell carcinoma
Oral diseases, 2018
[19] Assessing the Impact of Climate Variability on Food Security in Kenya: A Case Study of Kisii County
2018
[20] Efectividad de una intervención educativa en personas con obesidad
2018
[21] Kontribusi Indeks Masa Tubuh (IMT), Merokok dan Aktivitas Fisik terhadap Reaktivitas Tekanan Darah (Studi Korelasi pada Mahasiswa Sekolah Tinggi Ilmu …
2017
[22] Korelasi Antara Indeks Massa Tubuh Dengan Kadar Asam Urat Pada Laki-Laki Lanjut Usia Di Kecamatan Gido Kabupaten Nias Pada Tahun 2015
2017
[23] Immigration to West, Acculturation, and Disordered Eating Patterns
2017
[24] Investigating the impact of a fixed-dose combination compared to triple therapy on metabolic syndrome in patients on highly active antiretroviral therapy.
2017
[25] An assessment of weight and weight awareness of patients presenting for outpatient care in Cameroon
African Journal of Midwifery and Women's Health, 2014
[26] Predicting Metabolic Syndrome with Neural Networks
Advances in Artificial Intelligence and Its Applications. Springer Berlin Heidelberg, 2013
[27] Improving the Body Mass Index (BMI) Formula with Heuristic Search
Artificial Intelligence (MICAI), 2012 11th Mexican International Conference on. IEEE, 2012
[28] DETERMINING THE RISK OF DISEASE BASED ON BODY MASS INDEX IN HIGHER EDUCATION

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.