Abdominal Bioelectric Impedance for Follow-Up of Dieters: a Prospective Study

Abstract

Context. Visceral adipose tissue (VAT) is a strong predictor of carbohydrate metabolism disorders. Abdominal bioelectrical impedance analysis (A-BIA) is a simple method for the measurement of VAT and is a promising tool in screening and follow-up of abdominal obesity. However the role of A-BIA in dieting individuals has not been evaluated adequately in longitudinal followup studies.Objective. The aim of this study is to determine the role of A-BIA in identifying the changes in metabolic predictors after diet and/or exercise therapy.Design. All patients who sought weight loss treatment underwent baseline assessment and were prescribed a program of diet. After a mean follow-up of 3.2 months, data were analyzed.Subjects and Methods. Ultimately, 103 participants who reported adhering to the diet, enrolled to the study. We tested associations between changes in body composition measures and changes in laboratory measures using correlations and multivariate linear regression analysis.Results. Mean loss of body weight was 3.4±2.8 kg. All but waist-to-hip ratio, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol levels changed significantly (p<0.001). Decreases in body weight, body mass index (BMI), and VAT level significantly correlated with decreases in fasting blood glucose, fasting insulin level, and HOMA-IR score (r=0.230-0.371). In multiple linear regression analysis changes in BMI and VAT significantly correlated with change in HOMA-IR score (F(7.93)=2.283, p=0.034, R2=0.147). Conclusion.Decreases in BMI and VAT, as determined by A-BIA, were predictors of changes in metabolic laboratory measures. A-BIA is useful for followup of patients receiving diet therapy for weight loss.

Initial Weight Loss, Anthropometric Parameters, and Proinflammatory Transcript Levels in Patients with Class I Obesity

“…In addition, we reported that the change in the final HOMA-IR score appears to be a better marker of metabolic improvement than other variables studied, such as triglycerides, total cholesterol, HDL cholesterol, LDL cholesterol, CRP, adiponectin, and leptin. Similar to our results, Bozkuş et al found that a change in the HOMA-IR correlated with change in body weight and BMI at the end of a short-term intervention (12 weeks) [67], while the reduction in LDL cholesterol and the elevation in HDL cholesterol levels were not statistically significant. As shown elsewhere, the HOMA-IR score changes after short-term interventions were predictive of weight changes 6 months after the end of the intensive weight loss phase [10].…”

“…Thus, the predictors of effective body weight loss or body weight regain assessed previously are often not sufficiently substantiated or have a low prediction power [ 66 ]. In the present study, changes in BW and fat mass (body fat mass, fat percentage, and visceral fat level) at the end of the WLP were associated with change in the HOMA-IR (homeostatic model assessment for insulin resistance) score, which in the case of BW but not body fat mass was similar to the results in other studies [ 67 ]. In addition, we reported that the change in the final HOMA-IR score appears to be a better marker of metabolic improvement than other variables studied, such as triglycerides, total cholesterol, HDL cholesterol, LDL cholesterol, CRP, adiponectin, and leptin.…”

Kadınlarda metabolik sendromun alternatif prediktörleri

“…Cihazın, ölçümler arası değişkenliği çok düşük olup, ölçen kişiden etkilenmiyor olması da önemli bir avantajıdır. Kliniğimizde yaptığımız, diyet sonrası antropometrik ölçümlerdeki değişim ile HOMA skorundaki değişim arasındaki ilişkiyi incelediğimiz çalışmada, HOMA skorundaki değişim ile en iyi bağımsız ilişki, abdominal BİA cihazı ile ölçülen visseral yağ arasındaki saptanmıştır [28]. Bu nedenle tedavi sonrası değişiklikleri göstermesi açısından faydalı olabileceğini düşünüyoruz.…”