Search results for "Bioimpedance Analysis"

showing 2 items of 2 documents

Influence of a Mediterranean Dietary Pattern on Body Fat Distribution: Results of the PREDIMED-Canarias Intervention Randomized Trial

2016

Objective: To assess the influence of a Mediterranean dietary pattern (MeDiet) on anthropometric and body composition parameters in one of the centers of the PREDIMED randomized dietary trial. Subjects/Settings: 351 Canarian free-living subjects aged 55 to 80 years, with type 2 diabetes or ≥3 cardiovascular risk factors. Intervention: Participants were randomly assigned to one of 3 different dietary interventions: MeDiet + extra-virgin olive oil (EVOO), MeDiet + nuts (walnuts, almonds, and hazelnuts), or a control low-fat diet. Total energy intake was ad libitum. Outcome measures: Measures included changes in anthropometric measures (weight, body mass index [BMI] and waist circumference [WC…

0301 basic medicineMaleobesityWaistMediterranean dietBody waterMedicine (miscellaneous)JuglansType 2 diabetesPREDIMED StudyDiet MediterraneanBody Mass Index03 medical and health sciencesCorylusClassification of obesityMediterranean dietMedicineBody Fat DistributionHumansNutsFood scienceDiet Fat-RestrictedOlive OilAgedAged 80 and overbody composition030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industryBody WeightAnthropometryMiddle Agedmedicine.diseaseObesityPrunus dulcisbody fatDiabetes Mellitus Type 2Cardiovascular DiseasesSpainoctapolar bioimpedance analysisFemaleWaist CircumferencebusinessBody mass index
researchProduct

Assessing body composition with DXA and bioimpedance: effects of obesity, physical activity, and age.

2008

Objective: This study evaluated to what extent dual-energy X-ray absorptiometry (DXA) and two types of bioimpedance analysis (BIA) yield similar results for body fat mass (FM) in men and women with different levels of obesity and physical activity (PA). Methods and Procedures: The study population consisted of 37–81-year-old Finnish people (82 men and 86 women). FM% was estimated using DXA (GE Lunar Prodigy) and two BIA devices (InBody (720) and Tanita BC 418 MA). Subjects were divided into normal, overweight, and obese groups on the basis of clinical cutoff points of BMI, and into low PA (LPA) and high PA (HPA) groups. Agreement between the devices was calculated by using the Bland–Altman …

AdultMalemedicine.medical_specialtyEndocrinology Diabetes and MetabolismPhysical activityMedicine (miscellaneous)OverweightBody weightFat massEndocrinologyAbsorptiometry PhotonSex FactorsmedicineElectric ImpedanceBody Fat DistributionHumansObesityExerciseFinlandAgedNutrition and Dieteticsbusiness.industryAge FactorsReproducibility of ResultsNormal BMIMiddle AgedOverweightmedicine.diseaseObesityBioimpedance AnalysisPhysical therapyBody CompositionPopulation studyFemalemedicine.symptombusinessAlgorithmsObesity (Silver Spring, Md.)
researchProduct