Literature DB >> 22068551

Determining the waist circumference cut off which best predicts the metabolic syndrome components in urban Africans: the SABPA study.

J Prinsloo1, L Malan, J H de Ridder, J C Potgieter, H S Steyn.   

Abstract

Various studies have shown that the relationship between waist circumference (WC) and abdominal obesity is age, gender as well as ethnicity-dependent. WC criteria for Sub Saharan Africans have not been defined by the International Diabetes Federation (IDF). The aim was to determine which WC cut off best predicted Metabolic Syndrome (MetS) in a group of urban African teachers (80 males and 93 females). We determined sphygmomanometer blood pressure, WC, glucose, high density lipoprotein cholesterol (HdL) and triglyceride (TRIG) values. The males' MetS profile was less favourable as their glucose, TRIG and blood pressure levels were higher than the proposed cut off for MetS. The females could be classified as obese, based on their mean BMI (32.78±6.36) and WC (93.48±15.68). Receiver operating characteristic (ROC) WC cut offs of 90, 91, 94 and 96 cm for the respective MetS components in males (blood pressure, HdL, glucose and TRIG) were suggested. In the females, cut offs of 92, 98, 94 and 94 cm for TRIG, blood pressure, HdL and glucose respectively, were put forward. Odds ratios revealed that increased blood pressure best predicted ROC WC in both males (OR 9.59; 95% CI 3.14-29.32) and females (OR 3.11; 95% CI 1.30-7.42) irrespective of age. We suggest that the optimal cut off point for the males be set at 90 cm, as opposed to the current 94 cm; whilst the female cut off be set at 98 cm as opposed to the existing cut off of 80 cm. Larger sample groups are recommended to justify our data. © J. A. Barth Verlag in George Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2011        PMID: 22068551     DOI: 10.1055/s-0031-1280801

Source DB:  PubMed          Journal:  Exp Clin Endocrinol Diabetes        ISSN: 0947-7349            Impact factor:   2.949


  12 in total

1.  Determining cut-off values for neck circumference as a measure of the metabolic syndrome amongst a South African cohort: the SABPA study.

Authors:  S Hoebel; L Malan; J H de Ridder
Journal:  Endocrine       Date:  2012-03-11       Impact factor: 3.633

2.  Optimizing waist circumference cut-points for the metabolic syndrome in a South African cohort at 3-year follow-up: the SABPA prospective cohort.

Authors:  Svelka Hoebel; Leoné Malan; Judith Botha; Mariëtte Swanepoel
Journal:  Endocrine       Date:  2014-12       Impact factor: 3.633

3.  Hypothalamic-pituitary-adrenal-axis dysregulation and double product increases potentiate ischemic heart disease risk in a Black male cohort: the SABPA study.

Authors:  Leoné Malan; Christiaan E Schutte; Ala'a Alkerwi; Saverio Stranges; Nicolaas T Malan
Journal:  Hypertens Res       Date:  2017-02-09       Impact factor: 3.872

4.  The relationship between physical activity, body fatness and metabolic syndrome in urban South African school teachers: The sympathetic activity and ambulatory blood pressure in Africans study.

Authors:  Tamrin Veldsman; Mariette Swanepoel; Johanna S Brits; Makama A Monyeki
Journal:  Afr J Prim Health Care Fam Med       Date:  2022-05-30

5.  Determination of optimal cut-off values for waist circumferences used for the diagnosis of the metabolic syndrome among Batswana adults (ELS 32).

Authors:  D M Tladi; L Mokgatlhe; S Shaibu; T Nell; R Mitchell; C J Mokgothu; T Gabonthone; O Hubona
Journal:  Cardiovasc J Afr       Date:  2020 Nov-Dec       Impact factor: 1.167

6.  The current waist circumference cut point used for the diagnosis of metabolic syndrome in sub-Saharan African women is not appropriate.

Authors:  Nigel J Crowther; Shane A Norris
Journal:  PLoS One       Date:  2012-11-08       Impact factor: 3.240

7.  The prevalence of the metabolic syndrome in a farm worker community in the Boland district, South Africa.

Authors:  Maritza J Kruger; Theo A Nell
Journal:  BMC Public Health       Date:  2017-01-11       Impact factor: 3.295

8.  Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults.

Authors:  Eyitayo Omolara Owolabi; Daniel Ter Goon; Oladele Vincent Adeniyi; Anthony Idowu Ajayi
Journal:  BMC Res Notes       Date:  2018-01-12

9.  Prevalence of the metabolic syndrome and determination of optimal cut-off values of waist circumference in university employees from Angola.

Authors:  Pedro Magalhães; Daniel P Capingana; José G Mill
Journal:  Cardiovasc J Afr       Date:  2014 Jan-Feb       Impact factor: 1.167

10.  Optimal waist circumference threshold for diagnosing metabolic syndrome in African people living with HIV infection.

Authors:  Kim A Nguyen; Nasheeta Peer; Anniza de Villiers; Barbara Mukasa; Tandi E Matsha; Edward J Mills; Andre P Kengne
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

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