204: The Lipid Accumulation Product is Better than Body Mass Index for Identifying Diabetes

2005 ◽  
Vol 161 (Supplement_1) ◽  
pp. S51-S51
Author(s):  
H S Kahn
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Lipid Accumulation ◽  
Lipid Accumulation Product ◽  
Better Than

scholarly journals Comparison of lipid accumulation product and body mass index as indicators of diabetes diagnosis among 215,651 Chinese adults

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8483
Author(s):  
Tian Tian ◽  
Hualian Pei ◽  
Zhen Chen ◽  
Gulisiya Hailili ◽  
Shuxia Wang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Lipid Accumulation ◽  
Area Under The Curve ◽  
Cutoff Point ◽  
Diabetes Diagnosis ◽  
Chinese Adults ◽  
Lipid Accumulation Product ◽  
Highly Correlated ◽  
Fourth Quartile

Purpose We aimed to assess if lipid accumulation product (LAP) could outperform body mass index (BMI) as a marker for diabetes diagnosis. Methods We analyzed the results of a national physical examination project in Urumqi, China. This project was conducted in 442 community clinics in Urumqi from October 2016 to February 2017. Results LAP was highly correlated with diabetes. The subjects with higher amounts of LAP had a higher risk of diabetes, and the prevalence of diabetes in the fourth quartile of LAP was dramatically higher than in the first quartile (5.72% vs. 21.76%). The adjusted odds ratios (AOR) associated with diabetes in the fourth quartile of LAP was significantly higher than the AOR associated with diabetes in the first quartile, and when BMI ≥ 28 kg/m2 was compared with BMI < 28 kg/m2 (3.24 (3.11, 3.37) vs. 1.65 (1.60, 1.70)). The LAP’s area under the curve (AUC) was significantly higher than the BMI’s AUC when based on diabetes (0.655 vs. 0.604). In the normal BMI group, 34% of participants had a LAP value higher than the cutoff point found during ROC analysis. In this subgroup, we observed a significantly higher prevalence of diabetes that was similar to that of the subgroup with a BMI ≥ 28 kg/m2, and both of their LAP values were higher than the cutoff point. Conclusion When use as a tool for diabetes diagnosis, LAP performed better than BMI, implying that LAP could be a preferable anthropometry assessment.

Insulin Resistance and Lipid Accumulation Product in Corelation to Body Mass Index in Women with Polycystic Ovary Syndrome

2012 ◽  
Vol 66 (6) ◽  
pp. 409 ◽  
Author(s):  
Amina Godinjak ◽  
Zulfo Godinjak ◽  
Azra Burekovic ◽  
Ismana Surkovic ◽  
Amela DizdarevicBostandzic ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Lipid Accumulation ◽  
Polycystic Ovary ◽  
Lipid Accumulation Product ◽  
Ovary Syndrome

scholarly journals Comparison of body mass index and lipid accumulation product as a better indicator of metabolic syndrome

2017 ◽  
Vol 4 (3) ◽  
pp. 728 ◽  
Author(s):  
Yashavanth H. S. ◽  
Bharath M. S.
Keyword(s):  
Diabetes Mellitus ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Lipid Accumulation ◽  
Statistical Significance ◽  
The Body ◽  
P Value ◽  
Strong Positive Correlation ◽  
Lipid Accumulation Product

Background: Metabolic syndrome (MS) is defined to be cluster of metabolic interrelated risk factors of such as obesity, elevated blood pressures, glucose metabolism disturbances and dyslipidemia. "Lipid accumulation product" (LAP) – is a simple and novel index based on a combination of an anthropometric dimension and a metabolic dimension.Methods: One hundred patients with metabolic syndrome were included in study. Data was collected through a prepared proforma which included various parameters related to history, thorough clinical examination, and laboratory parameters. Further the patients were assessed for the body mass index (BMI) and lipid accumulation product (LAP). BMI and LAP then correlated with metabolic syndrome.Results: Our present study is conducted among the population meeting the IDF criteria of MS, with a mean age of 54.52±12.65years and female predominance (54%). 72% and 62% of the study group had Diabetes Mellitus and Hypertension respectively. The mean BMI in our study is 29.04±5.11 kg/m2 with 25% of the population are non-obese. The average LAP value in our present study is 111.51±59.71 cm mmol/l and shown increasing trend with increasing age. LAP had a mean value of 85.19 cm mmol/l, 118.52 cm mmol/l and 122.37 cm mmol/l in the study population satisfying 3/5, 4/5 and 5/5 criteria of Metabolic Syndrome respectively. This shows LAP (P<0.001) has better correlation with MS when compared to BMI (P<0.001) in ANOVA test. In our present study, the presence of diabetes mellitus resulted in significant elevated LAP values i.e. 85.10±31.40 cm mmol/l among non-diabetics to 121.78±64.92 cm mmol/l among diabetics, which is of statistical significance (p value 0.005).Conclusions: LAP showed strong positive correlation with metabolic syndrome and it also positively correlated with increasing number of components of metabolic syndrome. LAP found to be better predictor of MS than BMI.

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