{"title":"Chronic Pain and Obesity in Community-Dwelling Adults: Findings from the National Health and Nutrition Examination Survey.","authors":"Yuting Zhong, Kejun Tian, Yunya Zhu, Ying Li","doi":"10.2147/JPR.S470855","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Chronic pain and obesity, together with their corresponding characteristics, are concerning health issues with high socioeconomic burden. The objective of this study is to ascertain the prevalence of chronic pain among individuals residing in the community and examine its association with obesity.</p><p><strong>Methods: </strong>The present study employed a cross-sectional design and analyzed data from three cycles of the National Health and Nutrition Examination Survey (NHANES). Univariate and multivariate logistic regression analysis were performed to examine the relationship between chronic pain and obesity. To evaluate the potential nonlinear association of chronic with body mass index (BMI), the restricted cubic spline (RCS) analysis was performed in multivariable-adjusted models. The researchers conducted subgroup analyses in order to investigate the potential influence of different confounding factors on the relationship between chronic pain and obesity.</p><p><strong>Results: </strong>Our final analysis included a sample size of 13,700 participants with higher prevalence of chronic pain with higher BMI, older age, female sex, lower educational level, smoking, and other pathologies. The prevalence of chronic pain in different BMI groups was 17.0% (underweight), 11.8% (normal weight), 12.9% (overweight), and 17.9% (obesity), respectively. In the fully adjusted model, obesity was associated with a 45% increase in the risk of chronic pain compared with the normal weight. The RCS analyses revealed a nonlinear and J-shaped positive association between BMI and chronic pain (OR 1.45, 95% CI 1.27-1.66, all <i>P</i> for nonlinearity < 0.05). The results of the subgroup analyses indicate that the presence of osteoporosis significantly influenced the relationship between obesity and chronic pain, as evidenced by a statistically significant interaction effect (OR 2.25, 95% CI 1.38-3.68, <i>P</i> for interaction = 0.019).</p><p><strong>Conclusion: </strong>The presence of obesity was found to be significantly correlated with an increased likelihood of experiencing chronic pain among adults living in the United States.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11423841/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JPR.S470855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Chronic pain and obesity, together with their corresponding characteristics, are concerning health issues with high socioeconomic burden. The objective of this study is to ascertain the prevalence of chronic pain among individuals residing in the community and examine its association with obesity.
Methods: The present study employed a cross-sectional design and analyzed data from three cycles of the National Health and Nutrition Examination Survey (NHANES). Univariate and multivariate logistic regression analysis were performed to examine the relationship between chronic pain and obesity. To evaluate the potential nonlinear association of chronic with body mass index (BMI), the restricted cubic spline (RCS) analysis was performed in multivariable-adjusted models. The researchers conducted subgroup analyses in order to investigate the potential influence of different confounding factors on the relationship between chronic pain and obesity.
Results: Our final analysis included a sample size of 13,700 participants with higher prevalence of chronic pain with higher BMI, older age, female sex, lower educational level, smoking, and other pathologies. The prevalence of chronic pain in different BMI groups was 17.0% (underweight), 11.8% (normal weight), 12.9% (overweight), and 17.9% (obesity), respectively. In the fully adjusted model, obesity was associated with a 45% increase in the risk of chronic pain compared with the normal weight. The RCS analyses revealed a nonlinear and J-shaped positive association between BMI and chronic pain (OR 1.45, 95% CI 1.27-1.66, all P for nonlinearity < 0.05). The results of the subgroup analyses indicate that the presence of osteoporosis significantly influenced the relationship between obesity and chronic pain, as evidenced by a statistically significant interaction effect (OR 2.25, 95% CI 1.38-3.68, P for interaction = 0.019).
Conclusion: The presence of obesity was found to be significantly correlated with an increased likelihood of experiencing chronic pain among adults living in the United States.
背景:慢性疼痛和肥胖症及其相应的特征是社会经济负担较重的健康问题。本研究的目的是确定社区居民中慢性疼痛的患病率,并研究其与肥胖的关系:本研究采用横断面设计,分析了美国国家健康与营养调查(NHANES)三个周期的数据。通过单变量和多变量逻辑回归分析,研究慢性疼痛与肥胖之间的关系。为了评估慢性疼痛与体重指数(BMI)之间的潜在非线性关系,研究人员在多变量调整模型中进行了受限立方样条曲线(RCS)分析。研究人员进行了分组分析,以研究不同混杂因素对慢性疼痛与肥胖之间关系的潜在影响:我们的最终分析包括 13,700 名样本参与者,他们的慢性疼痛患病率随体重指数(BMI)、年龄、性别、教育程度、吸烟和其他病症的增加而增加。不同体重指数组的慢性疼痛患病率分别为 17.0%(体重不足)、11.8%(正常体重)、12.9%(超重)和 17.9%(肥胖)。在完全调整模型中,与正常体重相比,肥胖导致慢性疼痛风险增加 45%。RCS 分析显示,体重指数与慢性疼痛之间存在非线性的 J 型正相关(OR 1.45,95% CI 1.27-1.66,所有非线性 P <0.05)。亚组分析结果表明,骨质疏松症的存在会显著影响肥胖与慢性疼痛之间的关系,这体现在具有统计学意义的交互效应上(OR 2.25,95% CI 1.38-3.68,交互效应 P = 0.019):结论:研究发现,在美国生活的成年人中,肥胖与慢性疼痛发生几率的增加有明显的相关性。