Literature DB >> 34737537

The Implications of Power Mobility on Body Weight in a Veteran Population.

Deborah Caruso1, Rajbir S Chaggar1, Scott D McDonald1, Christo X Arbonies1, David X Cifu1.   

Abstract

BACKGROUND: The prevalence of obesity is increasing in the United States. A common concern among health care providers is that prescribing a power mobility device (PMD) may decrease physical activity and lead to obesity and increasing morbidity. This study analyzes the effect of PMD prescriptions over a 2-year period on body mass index (BMI) and body weight in a population of veterans both as a whole and in BMI/age subgroups.
METHODS: Prosthetics department medical records of veterans who received PMDs for the first time between January 1, 2011 and June 30, 2012 were reviewed. Of 399 records reviewed, 185 veterans met criteria for data analysis. The primary outcome measure was the change in BMI and body weight from time 1 (date of PMD prescription) to time 2 (2 years later).
RESULTS: There was a significant decrease in BMI and weight in the first 2 years after receiving a PMD prescription. However, age moderated the relationship between BMI and time.
CONCLUSIONS: PMD use does not seem to be associated with significant weight change. Further studies using control groups and assessing comorbidities are needed.
Copyright © 2021 Frontline Medical Communications Inc., Parsippany, NJ, USA.

Entities:  

Year:  2021        PMID: 34737537      PMCID: PMC8562902          DOI: 10.12788/fp.0171

Source DB:  PubMed          Journal:  Fed Pract        ISSN: 1078-4497


  15 in total

Review 1.  Medical consequences of obesity.

Authors:  George A Bray
Journal:  J Clin Endocrinol Metab       Date:  2004-06       Impact factor: 5.958

2.  The effect of providing power mobility on body weight change.

Authors:  Weibin Yang; Leslie Wilson; Ijeoma Oda; Jingsheng Yan
Journal:  Am J Phys Med Rehabil       Date:  2007-09       Impact factor: 2.159

Review 3.  Powered mobility for middle-aged and older adults: systematic review of outcomes and appraisal of published evidence.

Authors:  Claudine Auger; Louise Demers; Isabelle Gélinas; Jeffrey Jutai; Marcus J Fuhrer; Frank DeRuyter
Journal:  Am J Phys Med Rehabil       Date:  2008-08       Impact factor: 2.159

4.  The Obesity Epidemic in the Veterans Health Administration: Prevalence Among Key Populations of Women and Men Veterans.

Authors:  Jessica Y Breland; Ciaran S Phibbs; Katherine J Hoggatt; Donna L Washington; Jimmy Lee; Sally Haskell; Uchenna S Uchendu; Fay S Saechao; Laurie C Zephyrin; Susan M Frayne
Journal:  J Gen Intern Med       Date:  2017-04       Impact factor: 5.128

5.  Reducing Obesity Among People With Disabilities.

Authors:  Michael H Fox; Mary Helen Witten; Carolyn Lullo
Journal:  J Disabil Policy Stud       Date:  2014-12

6.  Prevalence of Overweight and Obesity in the United States, 2007-2012.

Authors:  Lin Yang; Graham A Colditz
Journal:  JAMA Intern Med       Date:  2015-08       Impact factor: 21.873

7.  Prevalence of overweight and obesity among U.S. military veterans.

Authors:  Nathaniel Almond; Leila Kahwati; Linda Kinsinger; Deborah Porterfield
Journal:  Mil Med       Date:  2008-06       Impact factor: 1.437

8.  Exercise effect on weight and body fat in men and women.

Authors:  Anne McTiernan; Bess Sorensen; Melinda L Irwin; Angela Morgan; Yutaka Yasui; Rebecca E Rudolph; Christina Surawicz; Johanna W Lampe; Paul D Lampe; Kamran Ayub; John D Potter
Journal:  Obesity (Silver Spring)       Date:  2007-06       Impact factor: 5.002

9.  Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018.

Authors:  Craig M Hales; Margaret D Carroll; Cheryl D Fryar; Cynthia L Ogden
Journal:  NCHS Data Brief       Date:  2020-02

10.  Weight loss, dysphagia and supplement intake in patients with amyotrophic lateral sclerosis (ALS): impact on quality of life and therapeutic options.

Authors:  Sonja Körner; Melanie Hendricks; Katja Kollewe; Antonia Zapf; Reinhard Dengler; Vincenzo Silani; Susanne Petri
Journal:  BMC Neurol       Date:  2013-07-12       Impact factor: 2.474

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