Literature DB >> 17489956

Use of bioelectrical impedance analysis in the evaluation, treatment, and prevention of overweight and obesity.

Richard Ricciardi1, Laura A Talbot.   

Abstract

PURPOSE: To present an overview of bioelectrical impedance analysis (BIA) and to familiarize nurse practitioners (NPs) with the potential benefits of using BIA in prevention, monitoring, and long-term follow-up of healthy individuals and those with chronic conditions (e.g., obesity). DATA SOURCES: Original research articles and comprehensive review articles identified through Medline, CINAHL, OVID, and electrical engineering databases.
CONCLUSIONS: Obtaining serial measurements of percent body fat using BIA can identify patients at greatest health risk and gives NPs an additional tool to assess treatment response in patients seeking to lose or maintain body weight and/or increase muscle mass. IMPLICATIONS FOR PRACTICE: Traditionally, height/weight tables and body mass index have been used to assess body composition and diagnose overweight and obesity. More recently, BIA has emerged as a portable and simple-to-operate instrument to evaluate body composition in the clinical setting.

Entities:  

Mesh:

Year:  2007        PMID: 17489956     DOI: 10.1111/j.1745-7599.2007.00220.x

Source DB:  PubMed          Journal:  J Am Acad Nurse Pract        ISSN: 1041-2972


  9 in total

1.  Moderate effects of apple juice consumption on obesity-related markers in obese men: impact of diet-gene interaction on body fat content.

Authors:  Stephan W Barth; Tatiana C L Koch; Bernhard Watzl; Helmut Dietrich; Frank Will; Achim Bub
Journal:  Eur J Nutr       Date:  2011-10-25       Impact factor: 5.614

2.  Comparing measures of fat-free mass in overweight older adults using three different bioelectrical impedance devices and three prediction equations.

Authors:  R Ramsey; E Isenring; L Daniels
Journal:  J Nutr Health Aging       Date:  2012-01       Impact factor: 4.075

Review 3.  Obesity subtypes, related biomarkers & heterogeneity.

Authors:  Laura Perez-Campos Mayoral; Gabriel Mayoral Andrade; Eduardo Perez-Campos Mayoral; Teresa Hernandez Huerta; Socorro Pina Canseco; Francisco J Rodal Canales; Héctor Alejandro Cabrera-Fuentes; Margarito Martinez Cruz; Alma Dolores Pérez Santiago; Juan José Alpuche; Edgar Zenteno; Hector Martínez Ruíz; Ruth Martínez Cruz; Julia Hernandez Jeronimo; Eduardo Perez-Campos
Journal:  Indian J Med Res       Date:  2020-01       Impact factor: 2.375

4.  Comparative assessment of anthropometric and bioimpedence methods for determining adiposity.

Authors:  David Adedia; Adjoa A Boakye; Daniel Mensah; Sylvester Y Lokpo; Innocent Afeke; Kwabena O Duedu
Journal:  Heliyon       Date:  2020-12-22

5.  Urinary Sodium Excretion and Obesity Markers among Bangladeshi Adult Population: Pooled Data from Three Cohort Studies.

Authors:  Musarrat J Rahman; Sarker M Parvez; Mahbubur Rahman; Feng J He; Solveig A Cunningham; K M Venkat Narayan; Jaynal Abedin; Abu Mohd Naser
Journal:  Nutrients       Date:  2022-07-21       Impact factor: 6.706

6.  Comparative associations between anthropometric and bioelectric impedance analysis derived adiposity measures with blood pressure and hypertension in India: a cross-sectional analysis.

Authors:  Kevin Y Taing; Michael E Farkouh; Rahim Moineddin; Jack V Tu; Prabhat Jha
Journal:  BMC Obes       Date:  2017-12-01

7.  Competency in home body fat monitoring by portable devices based on bioelectrical impedance analysis: A pilot study.

Authors:  Himel Mondal; Shaikat Mondal; Chayan Baidya
Journal:  J Educ Health Promot       Date:  2019-11-29

8.  Lower Amounts of Daily and Prolonged Sitting Do Not Lower Free-Living Continuously Monitored Glucose Concentrations in Overweight and Obese Adults: A Randomised Crossover Study.

Authors:  Daniel P Bailey; Charlotte A Stringer; Benjamin D Maylor; Julia K Zakrzewski-Fruer
Journal:  Nutrients       Date:  2022-01-30       Impact factor: 5.717

9.  Evaluation of bioelectrical impedance analysis for identifying overweight individuals at increased cardiometabolic risk: a cross-sectional study.

Authors:  Maxine J E Lamb; Christopher D Byrne; James F Wilson; Sarah H Wild
Journal:  PLoS One       Date:  2014-09-22       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.