Association of body mass index and osteoarthritis with healthcare expenditures and utilization.

body mass index healthcare expenditures healthcare utilization osteoarthritis

Journal

Obesity science & practice
ISSN: 2055-2238
Titre abrégé: Obes Sci Pract
Pays: United States
ID NLM: 101675151

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 18 07 2019
revised: 15 11 2019
accepted: 25 11 2019
entrez: 22 4 2020
pubmed: 22 4 2020
medline: 22 4 2020
Statut: epublish

Résumé

Osteoarthritis is highly prevalent and, on aggregate, is one of the largest contributors to US spending on hospital-based health care. This study sought to examine body mass index (BMI)-related variation in the association of osteoarthritis with healthcare utilization and expenditures. This is a retrospective study using administrative insurance claims linked to electronic health records. Study patients were aged ≥ 18 years with ≥1 BMI measurement recorded in 2014, with the first ( A total of 256 459 patients (median age = 56 y) met study eligibility criteria; 14.8% (38 050) had osteoarthritis. In multivariable analyses, the adjusted prevalence of osteoarthritis increased with increasing BMI (12.7% in patients who were overweight [25.0-29.9 kg m The prevalence and economic burden of osteoarthritis grow with increasing BMI; primary prevention of weight-related osteoarthritis and secondary weight management may help to alleviate this burden.

Identifiants

pubmed: 32313672
doi: 10.1002/osp4.398
pii: OSP4398
pmc: PMC7156818
doi:

Types de publication

Journal Article

Langues

eng

Pagination

139-151

Informations de copyright

© 2019 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

Stephen Johnston is an employee and stockholder of Johnson & Johnson. Eric Ammann is an employee of Johnson & Johnson. Robin Scamuffa was an employee and stockholder of Ethicon, a Johnson & Johnson company, at the time of this research. Jonathan Samuels has no financial interests to disclose. Andrew Stokes has received research funding from Ethicon, a Johnson & Johnson company, for an unrelated study. Elliott Fegelman was an employee and stockholder of Ethicon, a Johnson & Johnson company, at the time of this research. Carine Hsiao was an employee and stockholder of Ethicon, a Johnson & Johnson company, at the time of this research.

Références

Ann Intern Med. 1988 Jul 1;109(1):18-24
pubmed: 3377350
Am J Epidemiol. 1988 Jul;128(1):179-89
pubmed: 3381825
Pharmacoeconomics. 2016 Nov;34(11):1087-1100
pubmed: 27339668
BMJ. 2013 Oct 22;347:f5934
pubmed: 24149519
Arthritis Care Res (Hoboken). 2016 May;68(5):574-80
pubmed: 26315529
Med Care. 2005 Nov;43(11):1130-9
pubmed: 16224307
Obes Surg. 2016 Aug;26(8):1659-96
pubmed: 27412673
Obes Rev. 2014 Jul;15(7):578-86
pubmed: 24751192
Clin Orthop Relat Res. 2013 Oct;471(10):3358-66
pubmed: 23670675
J Rheumatol. 2016 Aug;43(8):1600-6
pubmed: 27307528
J Med Econ. 2017 Dec;20(12):1299-1306
pubmed: 28880733
Int J Epidemiol. 2014 Jun;43(3):962-70
pubmed: 24603316
Arthritis Care Res (Hoboken). 2012 Apr;64(4):465-74
pubmed: 22563589
Pain Pract. 2012 Nov;12(8):633-40
pubmed: 22309128
J Pain Res. 2012;5:23-30
pubmed: 22328832
Clin Orthop Relat Res. 2007 Dec;465:185-8
pubmed: 17906592

Auteurs

Stephen S Johnston (SS)

Department of Epidemiology, Medical Devices Johnson & Johnson New Brunswick New Jersey.

Eric Ammann (E)

Department of Epidemiology, Medical Devices Johnson & Johnson New Brunswick New Jersey.

Robin Scamuffa (R)

Pre-clinical, Clinical, and Medical Affairs Ethicon Somerville New Jersey.

Jonathan Samuels (J)

Division of Rheumatology, Department of Medicine NYU Langone Medical Center New York.

Andrew Stokes (A)

Department of Global Health Boston University, School of Public Health Boston Massachusetts.

Elliott Fegelman (E)

Pre-clinical, Clinical, and Medical Affairs Ethicon Somerville New Jersey.

Chia-Wen Hsiao (CW)

Pre-clinical, Clinical, and Medical Affairs Ethicon Somerville New Jersey.

Classifications MeSH