Anthropometric cutoff values for detecting metabolic abnormalities in Jordanian adults

Khader, Yousef; Batieha, Anwar M.; Jaddou, Hashim; Batieha, Zahi; El‐Khateeb, Mohammed; Ajlouni, Kamel

doi:10.2147/dmsott.s15154

Cited by 26 publications

(26 citation statements)

References 39 publications

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“…The cutoff values for WHR in the Saudi cohort were 0.89 and 0.81 for men and women respectively, which is lower than what has been reported among Qataris 19 at 0.90 and 0.88 for men and women respectively, and Omanis 18 at 0.91 for both men and women, but higher than what has been proposed for Jordanians at 0.88 for men and 0.82 for women. 20 When comparing our results with Caucasians, we had a lower WHR for men (0.89 versus 0.95) but a higher WHR for women (0.84 versus 0.80). 34 The proposed cutoff points for WHR in the current study are close to the proposed cutoff values used in the WHO 1998 definition of metabolic syndrome, 35 at 0.89 versus 0.90 for men and 0.84 versus 0.85 for women.…”

Section: Discussionmentioning

confidence: 49%

“…23 This difference in the WC cutoff values between different ethnic groups could be explained by ethnic differences in socioeconomic status, physical activities, lifestyle and cultural factors that could affect the body composition of each population that consequently uses the WC as a surrogate for abdominal fat. 20 …”

Section: Discussionmentioning

confidence: 99%

“… 13 – 16 The same could be true for the Arab ethnic group. Although there are limited data for assessing the optimal cutoff values for WC, WHR, and BMI among Arabs, the available data from different Middle Eastern and North African countries including Iraq, 17 Oman, 18 Qatar, 19 Jordan, 20 Egypt 21 and Tunisia 22 unexpectedly have shown wide variations in these anthropometric cutoff values. This inter-ethnicity variation warrants the determination of the optimal cutoff values for WC, as an integral component of metabolic syndrome, based on population specific data that can be used in defining this medical condition.…”

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confidence: 99%

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Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study

Al-Rubean

Youssef

Al-Farsi

et al. 2017

Annals of Saudi Medicine

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BACKGROUNDThe prevalence of metabolic syndrome varies widely by ethnicity and by the criteria used in its definition.OBJECTIVETo identify the optimal cutoff values for waist circumference (WC), waist-to-hip ratio (WHR) and body mass index (BMI) for identifying metabolic syndrome among the Saudi population.DESIGNNationwide household cross-sectional population-based survey.SETTINGThirteen health sectors in Saudi Arabia.SUBJECTS AND METHODSWe used data for subjects in the Saudi Abnormal Glucose Metabolism and Diabetes Impact Study (SAUDI-DM), which was conducted from 2007 to 2009. Using International Diabetes Federation (IDF) criteria, metabolic syndrome and its different components were assessed using anthropometric measurements, blood pressure, fasting plasma glucose, triglycerides and HDL cholesterol. Receiver operating characteristic (ROC) curves were generated to assess sensitivity and specificity for different cutoff values of WC, WHR, and BMI. The Youden index was used to calculate the optimal cutoff value for each anthropometric measurement.MAIN OUTCOME MEASURE(S)Optimal cutoff value for WC, WHR, and BMI for identifying the risk of metabolic syndrome.RESULTSThe prevalence of two or more risk factors for metabolic syndrome was observed in 43.42% of the total cohort of 12 126 study participants ≥18 years of age. The presence of two or more risk factors were significantly higher among men (46.81%) than women (40.53%) (P<.001). The optimal cutoff values for WC, WHR, and BMI were 92 cm, 0.89, and 25 kg/m2 for men and 87 cm, 0.81 and 28 kg/m2 for women for identifying the risk of metabolic syndrome. The prevalence of elevated triglycerides, blood pressure, and fasting plasma glucose significantly increased with age for both genders.CONCLUSIONSThe proposed WC cutoff values were better than WHR and BMI in predicting metabolic syndrome and could be used for screening people at high risk for metabolic syndrome in the Saudi population.LIMITATIONSNo direct measure of body fatness and fat distribution, cross-sectional design.

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Section: Discussionmentioning

confidence: 49%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study

Al-Rubean

Youssef

Al-Farsi

et al. 2017

Annals of Saudi Medicine

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“…13 Measurements were taken twice and the mean was taken in all cases.Cutoff values for waist circumference were 85 and 80 cm for men and women, respectively; 14 the corresponding waist hip ratios were 0.90 and 0.81 respectively. 15 Blood pressure (BP) was recorded by a trained physicians in the sitting position in the right arm with a mercury sphygmomanometer (Diamond Deluxe BP apparatus, Pune, India). Three readings were taken 5 minutes apart and the mean of the two lower readings was taken as final BP.…”

Section: Methodsmentioning

confidence: 99%

Law enforcement and cardiovascular risk: Findings of a cross-sectional study from Rural Karnataka

et al. 2017

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Background: Police personnel experience job-related factors that put them at risk of heart disease. Close encounter with difficult situations and unpredictability of working hours pose them with high stress which can increase the chance of heart disease. Aims and Objective: The current study aims to find out the prevalence of individual and aggregated cardiovascular disease (CVD) risk factors and a10 year risk prediction of a fatal or non-fatal cardiac events using the Framingham risk score. Materials and Methods: A cross sectional study was conducted among 60 police personnel of Devanahalli Taluk in Bangalore rural district.The study comprised a pre tested semi structured questionnaire; body mass index, waist circumference, waist hip ratio systolic and diastolic blood pressure measurements, and random plasma glucose estimation. Pearson's correlation coefficients were calculated for Framingham risk score with individual CVD risk factors. Multivariate logistic regression was done to measure the association of CVD risk factors with Framingham risk score. Results: The prevalence of aggregated cardiovascular risk was high, 85% of them had a combination of 2 or more risk factors. Greater age (> 50 years), smoking, waist circumference, waist hip ratio and presence of hypertension were significantly associated with high 10 year CVD risk categories. Age and systolic blood pressure showed a significant positive correlation with CVD risk. Conclusion: An alarming 40% of the police personnel had a high risk of a fatal or non-fatal cardiac event in the next 10 years. This warrants the need for regular CVD risk factor screening and targeted health education programs along with lifestyle modification counselling.

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“…Waist-to-height ratio was considered normal at ≤ 0.5, and elevated if it was > 0.5 (13). Body mass index (BMI) was expressed as the quotient between weight (kg) and height squared (m 2 ).…”

Section: Data Collectionmentioning

confidence: 99%

Are insulin analogues an unavoidable necessity for the treatment of type 2 diabetes in developing countries? The case of Jordan

Hyassat¹,

Shekarchi²,

Jaddou

et al. 2015

Easter Mediterr Health J

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Despite their reported benefits in terms of glycaemic control, insulin analogues are expensive for patients in developing countries. This study in Jordan aimed to compare the effectiveness and adverse events of premixed human insulin (BHI30) versus premixed insulin analogue (BIAsp30) in patients with type 2 diabetes. In a retrospective cohort study from October 2012 to March 2013, outcomes (HbA1c, weight, hypoglycaemia and lipohypertrophy) were compared at baseline and 6 months after treatment in 628 patients. BHI30 produced a significantly greater reduction in HbA1c than did BIAsp30. This difference in HbA1c remained significant after controlling for the effects of age, sex, duration of diabetes, body mass index and hypoglycaemia (β-coefficient was -0.18 in favour of BHI30). Weight gain and mild hypoglycaemia was significantly higher with BHI30 than with BIAsp30. BHI30 achieved better reduction in HbA1c compared with BIAsp30, with less cost, slightly more weight gain and greater reported mild hypoglycaemia.

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Anthropometric cutoff values for detecting metabolic abnormalities in Jordanian adults

Cited by 26 publications

References 39 publications

Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study

Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study

Law enforcement and cardiovascular risk: Findings of a cross-sectional study from Rural Karnataka

Are insulin analogues an unavoidable necessity for the treatment of type 2 diabetes in developing countries? The case of Jordan

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