Literature DB >> 27003512

A Comparison of the Characteristics of Acupuncture- and Non-Acupuncture-Preferred Consumers: A Secondary Analysis of NHIS 2012 Data.

Yan Zhang1,2, Matthew J Leach2,3, Felicity L Bishop2,4, Brenda Leung2,5.   

Abstract

OBJECTIVES: To determine whether acupuncture use, sociodemographic characteristics, and existing health conditions differ between acupuncture-preferred consumers (i.e., those who deem acupuncture to be one of the three most important complementary and alternative medicine [CAM] modalities used) and non-acupuncture-preferred consumers who used acupuncture in the past 12 months
METHODS: This is a secondary analysis of the National Health Interview Survey Sample Adult File and Adult Alternative Medicine datasets collected by the Centers for Disease Control and Prevention during 2012. The sample was drawn from the noninstitutionalized civilian population of the United States. The datasets yielded 34,525 respondents aged 18 years and older. Measures included in the analysis were acupuncture use in the past 12 months, sociodemographic characteristics, and existing health conditions. Analyses were performed by using Stata software, version 9.0 (Stata Corp., College Station, TX).
RESULTS: Of the 10,158 adults who responded to the question regarding the "three most important" CAM modalities used, 572 (5.6%) had used acupuncture in the past 12 months. Of these, 456 (79.7%) chose acupuncture as one of the top three CAM modalities most important to their health. Acupuncture-preferred consumers reported significantly more visits to acupuncturists (7.46 versus 3.99 visits; p < 0.001), as well as higher out-of-pocket costs ($342.8 versus $246.4; p < 0.001), compared with non-acupuncture-preferred consumers. The logistic regression model revealed that with every additional CAM modality used, the likelihood of deeming acupuncture as one of the three CAM modalities most important to one's health decreased by 39% (odds ratio, 0.61; 95% confidence interval, 0.52-0.71; p < 0.001). Health conditions were not statistically significant predictors.
CONCLUSIONS: A consumer's preference for acupuncture appeared not to be driven by health conditions but rather was related to sociodemographic factors. This suggests that health education regarding acupuncture may need to be tailored to certain consumer groups, such as those residing in the South, and could provide more information on the comparative effectiveness of acupuncture for various health conditions.

Mesh:

Year:  2016        PMID: 27003512      PMCID: PMC4827296          DOI: 10.1089/acm.2015.0244

Source DB:  PubMed          Journal:  J Altern Complement Med        ISSN: 1075-5535            Impact factor:   2.579


  39 in total

1.  Effects of acupuncture on immune response related to opioid-like peptides.

Authors:  F Petti; A Bangrazi; A Liguori; G Reale; F Ippoliti
Journal:  J Tradit Chin Med       Date:  1998-03       Impact factor: 0.848

2.  Factors that influence practitioners' interpretations of evidence from alternative medicine trials: a factorial vignette experiment embedded in a national survey.

Authors:  Jon C Tilburt; Franklin G Miller; Sarah Jenkins; Ted J Kaptchuk; Brian Clarridge; Dragana Bolcic-Jankovic; Ezekiel J Emanuel; Farr A Curlin
Journal:  Med Care       Date:  2010-04       Impact factor: 2.983

3.  A sociobehavioral wellness model of acupuncture use in the United States, 2007.

Authors:  Dawn M Upchurch; Bethany Wexler Rainisch
Journal:  J Altern Complement Med       Date:  2013-02-15       Impact factor: 2.579

4.  Identification of determinants of the utilisation of acupuncture treatment using Andersen's behavioural model.

Authors:  Ye-Seul Lee; In-Seon Lee; Song-Yi Kim; Hyangsook Lee; Hi-Joon Park; Hyejung Lee; Sung-Hoon Kim; Younbyoung Chae
Journal:  Acupunct Med       Date:  2014-11-24       Impact factor: 2.267

5.  The effects of acupuncture on the brain networks for emotion and cognition: an observation of gender differences.

Authors:  Wei Qiao Qiu; Joshua Claunch; Jian Kong; Erika E Nixon; Jiliang Fang; Ming Li; Mark Vangel; Kathleen Kin-Sang Hui
Journal:  Brain Res       Date:  2010-09-17       Impact factor: 3.252

6.  Trends in alternative medicine use in the United States, 1990-1997: results of a follow-up national survey.

Authors:  D M Eisenberg; R B Davis; S L Ettner; S Appel; S Wilkey; M Van Rompay; R C Kessler
Journal:  JAMA       Date:  1998-11-11       Impact factor: 56.272

7.  Characteristics of acupuncture users among internal medicine patients in Germany.

Authors:  Holger Cramer; Vincent C H Chung; Romy Lauche; Yan Zhang; Anthony Zhang; Jost Langhorst; Gustav Dobos
Journal:  Complement Ther Med       Date:  2015-04-25       Impact factor: 2.446

8.  Gender differences in traditional Chinese medicine use among adults in Taiwan.

Authors:  Chun-Chuan Shih; Chien-Chang Liao; Yi-Chang Su; Chin-Chuan Tsai; Jaung-Geng Lin
Journal:  PLoS One       Date:  2012-04-23       Impact factor: 3.240

Review 9.  Integrating acupuncture into cancer care.

Authors:  Tsai-Ju Chien; Chia-Yu Liu; Chung-Hua Hsu
Journal:  J Tradit Complement Med       Date:  2013-10

Review 10.  Acupuncture for chronic pain: individual patient data meta-analysis.

Authors:  Andrew J Vickers; Angel M Cronin; Alexandra C Maschino; George Lewith; Hugh MacPherson; Nadine E Foster; Karen J Sherman; Claudia M Witt; Klaus Linde
Journal:  Arch Intern Med       Date:  2012-10-22
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