A Strong Association between Lipid Accumulation Product and Diabetes Mellitus in Japanese Women and Men

Wakabayashi, Ichiro; Daimon, Takashi

doi:10.5551/jat.20628

Cited by 85 publications

(78 citation statements)

References 23 publications

(39 reference statements)

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“…One of the emerging surrogate markers of visceral adiposity and predictor of MetS yet to be extensively studied in a black African population is the lipid accumulation product (LAP), a parameter whose calculation is based on WC and serum TG levels [10]. LAP has been shown to have a strong association with the presence of MetS in healthy adults, an accurate predictor of MetS in those aged 50 years and above, as well as an association with diabetes in studies carried out in Europe and Asia [11–14]. …”

Section: Introductionmentioning

confidence: 99%

Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study

et al. 2017

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BackgroundThe metabolic syndrome (MetS) is a clustering of interrelated risk factors which doubles the risk of cardio-vascular disease (CVD) in 5–10 years and increases the risk of type 2 diabetes 5 fold. The identification of modifiable CVD risk factors and predictors of MetS in an otherwise healthy population is necessary in order to identify individuals who may benefit from early interventions. We sought to determine the prevalence of MetS as defined by the harmonized criteria and its predictors in subjectively healthy black Africans from various urban centres in Kenya.MethodWe used data collected from healthy black Africans in Kenya as part of a global study on establishing reference intervals for common laboratory tests. We determined the prevalence of MetS and its components using the 2009 harmonized criterion. Receiver operator characteristic (ROC) curve analysis was used to determine the area under the curves (AUC) for various predictors of MetS. Youden index was used to determine optimum cut-offs for quantitative measurements such as waist circumference (WC).ResultsA total of 528 participants were included in the analysis. The prevalence of MetS was 25.6% (95% CI: 22.0%–29.5%). Among the surrogate markers of visceral adiposity, lipid accumulation product was the best predictor of MetS with an AUC of 0.880 while triglyceride was the best predictor among the lipid parameters with an AUC of 0.816 for all participants. The optimal WC cut-off for diagnosing MetS was 94 cm and 86 cm respectively for males and females.ConclusionsThe prevalence of MetS was high for a healthy population highlighting the fact that one can be physically healthy but have metabolic derangements indicative of an increased CVD risk. This is likely to result in an increase in the cases of CVD and type 2 diabetes in Kenya if interventions are not put in place to reverse this trend. We have also demonstrated the inappropriateness of the WC cut-off of 80 cm for black African women in Kenya when defining MetS and recommend adoption of 86 cm.

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Section: Introductionmentioning

confidence: 99%

Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study

et al. 2017

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“…14 LAP has been demonstrated to be a good discriminator of glucose intolerance and diabetes by a variety of studies. 16,[24][25][26][27][28][29][30][31] Moreover, LAP has been reported to predict all-cause and cardiovascular mortality. [32][33][34][35] However, further studies are needed to determine whether LAP is better for predicting cardiovascular events than are other adiposity markers, including BMI, WC, waist-to-height ratio, and waist-to-hip ratio.…”

Section: Discussionmentioning

confidence: 98%

Associations of Blood Lipid-Related Indices with Blood Pressure and Pulse Pressure in Middle-Aged Men

Wakabayashi

2015

Metabolic Syndrome and Related Disorders

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“…The lipid accumulation product was determined by using triglyceride level and waist circumference as follows [12]: lipid accumulation product = triglycerides (mmol/l) 9 [waist circumference (cm) -65]. The cut-off value of lipid accumulation product used was 37.2 [26]. Because results for total cholesterol were not included in the database used, non-HDL cholesterol was therefore estimated by calculation of total cholesterol using Friedewald's formula [27] as non-HDL cholesterol (mg/dl) = LDL cholesterol (mg/dl) + 0.2 9 triglycerides (mg/dl) when triglycerides level is less than 400 mg/dl (4.52 mmol/l).…”

Section: What's New?mentioning

confidence: 99%

Smoking and lipid‐related indices in patients with diabetes mellitus

Wakabayashi

2014

Diabet. Med.

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A Strong Association between Lipid Accumulation Product and Diabetes Mellitus in Japanese Women and Men

Cited by 85 publications

References 23 publications

Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study

Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study

Associations of Blood Lipid-Related Indices with Blood Pressure and Pulse Pressure in Middle-Aged Men

Smoking and lipid‐related indices in patients with diabetes mellitus

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