Complementary and alternative medicine use by U.S. adults with self-reported doctor-diagnosed arthritis: results from the 2012 National Health Interview Survey
Complementary and alternative medicine use by U.S. adults with self-reported doctor-diagnosed arthritis: results from the 2012 National Health Interview Survey
Background: The use of complementary and alternative medicine (CAM) therapies have been reported for the management of arthritis. However, little is known about CAM use among adults with self-reported doctor-diagnosed arthritis. Objectives: To determine (1) the prevalence and type of CAM use, (2) the difference in characteristics between CAM users and non-CAM users, and (3) the factors related to CAM use, among U.S. adults with self-reported doctor-diagnosed arthritis. Design: Secondary analysis of the 2012 National Health Interview Survey (NHIS) data. Setting: The NHIS is a cross-sectional survey that gathers health-related data on the civilian, noninstitutionalized U.S. population. Participants: The NHIS 2012 uses a complex, multistage sampling design and oversamples minorities to achieve population representation; it included 34 525 adults, with 7179 adults having arthritis. Methods: Data were analyzed using Stata 15.1 survey syntax. The potential factors related to CAM use included sociodemographics and health-related characteristics. Main Outcome Measurements: CAM modalities were categorized into six groups: natural products, manipulative therapies, mind-body therapies, special diets, movement therapies, and other practitioner-based CAM modalities. Results: Of the adults with arthritis, 2428 (weighted estimate of 36.2% of U.S. adult population) had used CAM within the last year. Adults with arthritis reported greater use of CAM than those without, particularly the use of natural products, manipulative therapies and other practitioner-based CAM modalities. Factors associated with higher CAM use included being female, residing in regions other than the U.S. South, having a college degree or higher, reporting very good/excellent self-rated health status, and having current symptoms of joint stiffness/pain. Conclusion: As more than one-third of U.S. adults with arthritis seek CAM therapies, open and nonjudgmental conversations between conventional medicine providers, CAM providers, and patients should be encouraged to ensure patient health care needs are being met. Level of Evidence: III.
Zhang, Yan
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Dennis, Jeff A.
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Bishop, Felicity L.
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Cramer, Holger
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Leach, Matthew
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Lauche, Romy
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Sundberg, Tobias
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Leung, Brenda
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Zhang, Anthony L.
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Bacon, Luke
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Sibbritt, David
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Adams, Jon
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Zhang, Yan
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Dennis, Jeff A.
922ce404-bb9c-44f1-8817-f17e87520364
Bishop, Felicity L.
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Cramer, Holger
c3644d93-d7d6-49c4-ae6e-f47d6e40a6a8
Leach, Matthew
fef92624-f13a-46f3-b705-ea5704f60e35
Lauche, Romy
532e2ee3-85dc-4862-82ca-b03e40b628d9
Sundberg, Tobias
e26be981-1543-458e-8436-ca1e6ac9ad79
Leung, Brenda
c0c764b5-04e0-451b-b98b-db7d93bcc937
Zhang, Anthony L.
b47bac2b-a3a8-4ad2-95d2-8eed1e00bb86
Bacon, Luke
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Sibbritt, David
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Adams, Jon
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Zhang, Yan, Dennis, Jeff A., Bishop, Felicity L., Cramer, Holger, Leach, Matthew, Lauche, Romy, Sundberg, Tobias, Leung, Brenda, Zhang, Anthony L., Bacon, Luke, Sibbritt, David and Adams, Jon
(2019)
Complementary and alternative medicine use by U.S. adults with self-reported doctor-diagnosed arthritis: results from the 2012 National Health Interview Survey.
PM and R.
(doi:10.1002/pmrj.12124).
Abstract
Background: The use of complementary and alternative medicine (CAM) therapies have been reported for the management of arthritis. However, little is known about CAM use among adults with self-reported doctor-diagnosed arthritis. Objectives: To determine (1) the prevalence and type of CAM use, (2) the difference in characteristics between CAM users and non-CAM users, and (3) the factors related to CAM use, among U.S. adults with self-reported doctor-diagnosed arthritis. Design: Secondary analysis of the 2012 National Health Interview Survey (NHIS) data. Setting: The NHIS is a cross-sectional survey that gathers health-related data on the civilian, noninstitutionalized U.S. population. Participants: The NHIS 2012 uses a complex, multistage sampling design and oversamples minorities to achieve population representation; it included 34 525 adults, with 7179 adults having arthritis. Methods: Data were analyzed using Stata 15.1 survey syntax. The potential factors related to CAM use included sociodemographics and health-related characteristics. Main Outcome Measurements: CAM modalities were categorized into six groups: natural products, manipulative therapies, mind-body therapies, special diets, movement therapies, and other practitioner-based CAM modalities. Results: Of the adults with arthritis, 2428 (weighted estimate of 36.2% of U.S. adult population) had used CAM within the last year. Adults with arthritis reported greater use of CAM than those without, particularly the use of natural products, manipulative therapies and other practitioner-based CAM modalities. Factors associated with higher CAM use included being female, residing in regions other than the U.S. South, having a college degree or higher, reporting very good/excellent self-rated health status, and having current symptoms of joint stiffness/pain. Conclusion: As more than one-third of U.S. adults with arthritis seek CAM therapies, open and nonjudgmental conversations between conventional medicine providers, CAM providers, and patients should be encouraged to ensure patient health care needs are being met. Level of Evidence: III.
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Zhang_et_al-2019-PM&R CAM and arthritis
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Accepted/In Press date: 27 December 2018
e-pub ahead of print date: 6 February 2019
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Local EPrints ID: 431770
URI: http://eprints.soton.ac.uk/id/eprint/431770
ISSN: 1934-1482
PURE UUID: 2d0b56a6-b096-402d-8214-0faa5ad81ecb
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Date deposited: 14 Jun 2019 16:30
Last modified: 16 Mar 2024 03:30
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Author:
Yan Zhang
Author:
Jeff A. Dennis
Author:
Holger Cramer
Author:
Matthew Leach
Author:
Romy Lauche
Author:
Tobias Sundberg
Author:
Brenda Leung
Author:
Anthony L. Zhang
Author:
Luke Bacon
Author:
David Sibbritt
Author:
Jon Adams
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