Differences between Adiposity Indicators for Predicting All-Cause Mortality in a Representative Sample of United States Non-Elderly Adults

Kahn, Henry S.; Bullard, Kai McKeever; Barker, Lawrence; Imperatore, Giuseppina

doi:10.1201/b16443-5

Cited by 4 publications

(5 citation statements)

References 58 publications

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“…Recent studies on LAP have shown that LAP can be a powerful marker for detecting cardiometabolic risk factors. [2][3][4][5] Moreover the results of some studies indicate a correlation between higher LAP amounts and cardiovascular events in general populations 6,7 and also some subgroups. [8][9][10] Metabolically obese normal weight (MONW) is one of the most intriguing obesity phenotypes, which, despite normal BMI, seems to have greater risk of CVD in comparison with metabolically healthy obese phenotype (MHO).…”

Section: Introductionmentioning

confidence: 99%

Lipid accumulation product and incident cardiovascular events in a normal weight population: Tehran Lipid and Glucose Study

Hosseinpanah

Barzin

Mirbolouk

et al. 2014

Eur J Prev Cardiolog

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Section: Introductionmentioning

confidence: 99%

Lipid accumulation product and incident cardiovascular events in a normal weight population: Tehran Lipid and Glucose Study

Hosseinpanah

Barzin

Mirbolouk

et al. 2014

Eur J Prev Cardiolog

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“…Fourth, BMI is not a perfect measure of the degree of obesity, as theoretically, the effect of obesity on the body reflects the effect of adipose tissue on the body. Other measures that can determine the degree of obesity (adipose tissue) include waist circumference, waist–hip ratio, and visceral fat by cross-sectional imaging [ 28 , 29 ]. Future studies should explore the relationship of BMI with visceral fat as measured by anthropometric measurements or imaging or the impact of visceral fat alone in patients with CD and UC.…”

Section: Discussionmentioning

confidence: 99%

The Clinical Features of Inflammatory Bowel Disease in Patients with Obesity

Kim

Lee

Kim

et al. 2021

Canadian Journal of Gastroenterology and Hepatology

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Background and Aim. The prevalence of obesity is increasing globally as is the prevalence of inflammatory bowel disease (IBD). Herein, we sought to evaluate the characteristics and prognosis of IBD in patients with obesity. Methods. We retrospectively reviewed the medical records of IBD patients who visited Asan Medical center. We used a large, well-characterized referral center-based cohort. The clinical features of IBD patients with body mass index (BMI) over 30 and matched controls with BMI under 30 were compared. Results. Among the 6,803 IBD patients enrolled in the Asan IBD Registry between June 1989 and December 2016, we identified 16 patients with Crohn’s disease (CD) and 27 patients with ulcerative colitis (UC) whose BMI was over 30 at the time of diagnosis. Their clinical characteristics and course were compared with those of 64 and 108 matched patients with CD and UC, respectively. There were no significant differences in the risk of using steroids (hazards ratio (HR) = 0.633 and P = 0.254 ), immunomodulators (HR = 0.831 and P = 0.517 ), and anti-tumor necrosis factor (TNF) therapy (HR = 1.539 and P = 0.351 ) and risk of bowel resections (HR = 1.858 and P = 0.231 ) between CD patients with BMI over 30 and those with BMI under 30; similarly, UC patients did not show significant differences in the risk of using steroids (HR = 0.613 and P = 0.145 ), immunomodulators (HR = 0.492 and P = 0.111 ), anti-TNF therapy (HR = 0.385 and P = 0.095 ), and risk of colectomy (HR = 0.262 and P = 0.104 ). In the subgroup analysis, under-weight UC patients had a higher cumulative probability of needing steroids (HR = 0.2510 and P = 0.042 ), needing immunomodulators (HR = 0.097 and P = 0.014 ), and a higher risk of receiving colectomy (HR = 0.024 and P = 0.019 ) than obese UC patients. Conclusions. Obese IBD patients with CD or UC did not show significantly different clinical features from nonobese IBD patients.

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“…The absence of age-related changes in LAP values in patients with hypertension indicates the early development of metabolic disorders manifested by the accumulation of lipids in the abdominal adipose tissue or an increase in the TG level in circulating blood. Only a limited number of population-based studies have estimated the effect of age on LAP values [13][14][15][16][17] . In addition, the designs of these studies varied greatly.…”

Section: Discussionmentioning

confidence: 99%

“…These discrepancies may be due to differences in sample populations with regard to age range, race/ethnicity, criteria for screening hypertension, and health status of the control group. Age seems to have the greatest impact on the optimal LAP cut-off points for predicting hypertension because of the effect of age on LAP values [13][14][15][16][17] .The aim of the study was to determine the age-adjusted optimal cut-off values of LAP for the prediction of hypertension risk.…”

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confidence: 99%

Age-adjusted cut-off values of lipid accumulation product (LAP) for predicting hypertension

Kaneva

Bojko

2021

Sci Rep

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Among the many factors considered relevant to hypertension, obesity and metabolic disturbances play an important role in the development of this pathology. Therefore, lipid accumulation product (LAP), an index of visceral adiposity, is a simple and effective indicator of hypertension risk. To date, the reference and cut-off values for LAP have not been defined. The aim of the study was to determine the age-adjusted optimal cut-off values of LAP for the prediction of hypertension risk. This cross-sectional case–control study comprised 1960 subjects ranging from 20 to 64 years of age. The participants underwent anthropometric tests, blood pressure measurements, questionnaire surveys and laboratory examinations. The cut-off values of LAP were determined using receiver operating characteristic (ROC) curve analysis. According to our study results, LAP values in healthy subjects increased with age, whereas there was no effect of age on LAP values in patients with hypertension. These two findings determine the presence of age-adjusted cut-off values of LAP for diagnosing hypertension. Increasing age is associated with an increase in the cut-off values of LAP to detect hypertension. In conclusion, hypertension risk should be estimated using the age-adjusted cut-off values of LAP; otherwise, the risk of hypertension might be overestimated or underestimated.

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Differences between Adiposity Indicators for Predicting All-Cause Mortality in a Representative Sample of United States Non-Elderly Adults

Cited by 4 publications

References 58 publications

Lipid accumulation product and incident cardiovascular events in a normal weight population: Tehran Lipid and Glucose Study

Lipid accumulation product and incident cardiovascular events in a normal weight population: Tehran Lipid and Glucose Study

The Clinical Features of Inflammatory Bowel Disease in Patients with Obesity

Age-adjusted cut-off values of lipid accumulation product (LAP) for predicting hypertension

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