The impact of obesity on diabetes, hyperlipidemia and hypertension in the United States.
ABSTRACT The prevalence of obesity and associated cardiometabolic risk factors such as diabetes, hyperlipidemia and hypertension is increasing significantly for all demographic groups.
The 2000 and 2002 Medical Expenditure Panel Survey (MEPS), a nationally representative survey of the U.S. population, was used to estimate the marginal impact of obesity on health function, perception, and preferences for individuals with diabetes, hyperlipidemia, and hypertension using multivariate regression methods controlling for age, sex, race, ethnicity, education, income, insurance, smoking status, comorbidity, and proxy response. Three different instruments were used: SF-12 physical component scale (PCS-12) and mental component scale (MCS-12); EQ-5D index and visual analogue scale (VAS). Censored least absolute deviation was used for the EQ-5D and VAS (due to censoring) and ordinary least squares (OLS) was used for the PCS-12 and MCS-12.
After controlling for sociodemographic characteristics, diabetes, hyperlipidemia, and hypertension were associated with significantly lower scores compared to normal weight individuals without the condition for all four instruments. Obesity significantly exacerbated this association. Controlling for comorbidity attenuated the negative association of obesity and cardiometabolic risk factors on instrument scores. In addition, scores decreased for increasing weight and number of risk factors.
Obesity significantly exacerbates the deleterious association between diabetes, hyperlipidemia, and hypertension, and health function, health perception, and preference-based scores in the United States.
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ABSTRACT: To prospectively evaluate the effect of different types of bariatric surgery on lipid profile. Total cholesterol (TC), High-Density-Lipoprotein cholesterol (HDLc), Low-Density-Lipoprotein cholesterol (LDLc) and triglycerides (TG) levels were evaluated before surgery and at 3 different post-operative time-points (3, 6 and 12 months) in consecutive obese subjects undergoing mini-gastric bypass (MGB) or sleeve gastrectomy (SG). At baseline, 74 MGB and 86 SG subjects were comparable for lipid profile and prevalence of hypercholesterolemia/hypertriglyceridemia. During the post-operative follow-up, both MGB and SG subjects showed significant changes in lipid profile. However, at 3 months, MGB patients showed higher changes in TC (β=0.179, p=0.022) and TG (β=0.265, p=0.001) than those undergoing SG. At 6-month post-operative follow-up, these differences were confirmed only for TC. After a 12-month follow-up, MGB and SG were entirely comparable for changes in lipid profile with the exception of HDLc, whose changes were higher in SG group (β=0.130, p=0.039). Overall, the probability to normalize lipid profile during the 12-month follow-up was similar in MGB and in SG patients (OR:1.24, 95%CI:0.41-3.76, p=0.689). Despites some differences at 3-6 post-operative months, during a 12-month follow-up, SG and MGB showed a similar efficacy in the improvement of lipid profile of obese patients. Copyright © 2015. Published by Elsevier Ltd.International Journal of Surgery (London, England) 01/2015; 14. DOI:10.1016/j.ijsu.2014.12.025 · 1.65 Impact Factor
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ABSTRACT: Obesity rates have increased over the last two decades. Based on NHANES data, 68.8 % of US adults are classified as overweight or obese. Obesity increases the risk of diseases and can contribute to increased morbidity and mortality. This review examines studies published in which pharmacists have provided weight management services alone or in a team. The electronic databases OVID Medline, International Pharmaceutical Abstracts and EMBASE (1946-2014) were searched. Nine articles were identified in which pharmacists delivered a weight management service either alone or in a team, and eight studies collected outcomes. Six studies evaluated the participant’s weight loss or satisfaction with the service, and two studies evaluated weight loss associated with a meal-replacement program. The outcomes from these studies are limited and while positive, have failed to provide significant evidence of the impact of pharmacists providing these services. More randomized, controlled trials are needed to document weight management services.09/2014; 3(3). DOI:10.1007/s13679-014-0110-2
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ABSTRACT: Objectives Economic analysis in type 2 diabetes mellitus (T2DM) requires an assessment of the effect of a wide range of complications. The objective of this article was to identify a set of utility values consistent with the National Institute for Health and Care Excellence (NICE) reference case and to critically discuss and illustrate challenges in creating such a utility set. Methods A systematic literature review was conducted to identify studies reporting utility values for relevant complications. The methodology of each study was assessed for consistency with the NICE reference case. A suggested set of utility values applicable to modeling was derived, giving preference to studies reporting multiple complications and correcting for comorbidity. Results The review considered 21 relevant diabetes complications. A total of 16,574 articles were identified; after screening, 61 articles were assessed for methodological quality. Nineteen articles met NICE criteria, reporting utility values for 20 of 21 relevant complications. For renal transplant, because no articles meeting NICE criteria were identified, two articles using other methodologies were included. Index value estimates for T2DM without complication ranged from 0.711 to 0.940. Utility decrement associated with complications ranged from 0.014 (minor hypoglycemia) to 0.28 (amputation). Limitations associated with the selection of a utility value for use in economic modeling included variability in patient recruitment, heterogeneity in statistical analysis, large variability around some point estimates, and lack of recent data. Conclusions A reference set of utility values for T2DM and its complications in line with NICE requirements was identified. This research illustrates the challenges associated with systematically selecting utility data for economic evaluations.Value in Health 06/2014; 17(4). DOI:10.1016/j.jval.2014.03.003 · 2.89 Impact Factor