Mbizo Justice, Okafor Anthony, Sutton Melanie A, Burkhart Erica N, Stone Leauna M
1 Department of Public Health, Clinical and Health Sciences, University of West Florida , Pensacola, FL.
2 Department of Mathematics and Statistics, College of Science, Engineering and Health, University of West Florida , Pensacola, FL.
J Altern Complement Med. 2016 Mar;22(3):227-36. doi: 10.1089/acm.2014.0390. Epub 2016 Mar 3.
The Centers for Disease Control and Prevention estimates that 50 million Americans have been diagnosed with arthritis and other musculoskeletal diseases. The purpose of the current study was to (1) estimate the prevalence of overall complementary and alternative medicine (CAM) use and (2) examine the role of body mass index (BMI) on CAM use among normal weight, overweight, and obese persons with chronic lower back pain, chronic neck pain, chronic/rheumatoid arthritis, or musculoskeletal diseases, while controlling for other covariates.
Cross-sectional design using secondary data for 9724 adults from the 2007 National Health Interview Survey. Data were weighted and analyzed by using Stata 12 for Windows (Stata Corp., College Station, TX). Descriptive, bivariate, and multivariate logistic regression statistics were computed.
The participants were randomly surveyed from U.S. households.
CAM use was measured as reported use of any modality within the five National Center for Complementary and Integrative Health domains.
CAM use was statistically significantly associated with female sex; race/ethnicity; having chronic neck pain, lower back pain, or chronic/rheumatoid arthritis; having limitations due to chronic disease; and geographic region (p < 0.05). Factors significantly associated with decreased odds of CAM use included age 50-64 years, income categorized as "other/missing," and having musculoskeletal diseases. Stratification by body mass index suggested increased odds of CAM use among normal/underweight persons with chronic neck pain but decreased odds for those with chronic musculoskeletal diseases. For overweight patients, increased odds of CAM use were significant for chronic lower back pain, musculoskeletal diseases, and chronic/rheumatoid arthritis.
Musculoskeletal diseases and arthritis represent important public health problems with economic implications for the well-being of individuals and society. Identifying CAM use trends by patient weight can be used to improve strategies to increase awareness and access to CAM as part of comprehensive and cost-effective approaches for the management and treatment of these conditions.
美国疾病控制与预防中心估计,有5000万美国人被诊断患有关节炎和其他肌肉骨骼疾病。本研究的目的是:(1)估计整体补充和替代医学(CAM)的使用 prevalence;(2)在控制其他协变量的同时,研究体重指数(BMI)在体重正常、超重和肥胖的慢性下背痛、慢性颈痛、慢性/类风湿性关节炎或肌肉骨骼疾病患者中对CAM使用的作用。
采用2007年美国国家健康访谈调查中9724名成年人的二手数据进行横断面设计。数据进行加权处理,并使用Windows版的Stata 12(Stata公司,得克萨斯州大学站)进行分析。计算描述性、双变量和多变量逻辑回归统计量。
参与者是从美国家庭中随机抽样调查的。
CAM的使用通过报告在五个国家补充与综合健康中心领域内使用任何一种方式来衡量。
CAM的使用在统计学上与女性性别、种族/族裔、患有慢性颈痛、下背痛或慢性/类风湿性关节炎、因慢性病而有功能受限以及地理区域显著相关(p < 0.05)。与CAM使用几率降低显著相关的因素包括50 - 64岁的年龄、归类为“其他/缺失”的收入以及患有肌肉骨骼疾病。按体重指数分层显示,体重正常/体重不足的慢性颈痛患者使用CAM的几率增加,但慢性肌肉骨骼疾病患者的几率降低。对于超重患者,慢性下背痛、肌肉骨骼疾病和慢性/类风湿性关节炎患者使用CAM的几率增加具有显著性。
肌肉骨骼疾病和关节炎是重要的公共卫生问题,对个人和社会的福祉具有经济影响。按患者体重确定CAM的使用趋势,可用于改进提高对CAM的认识和获取途径的策略,作为管理和治疗这些疾病的综合且具有成本效益方法的一部分。