Assessing the use of prescription drugs and dietary supplements in obese respondents in the National Health and Nutrition Examination Survey.

Assessing the use of prescription drugs and dietary supplements in obese respondents in the National Health and Nutrition Examination Survey.
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DOI:
10.1371/journal.pone.0269241
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
--
中科院分区:
综合性期刊3区
文献类型:
--
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肥胖是一种常见疾病,也是许多其他疾病的已知危险因素,如高血压、2型糖尿病和癌症。肥胖症的治疗选择包括改变生活方式、药物治疗和外科干预,如减肥手术。在这项研究中,我们检查了肥胖者使用处方药和膳食补充剂的情况。我们对2003-2018年全国健康与营养检查调查(NHANES)数据进行横断面分析。我们使用多因素Logistic回归分析人口统计学和肥胖状况与处方药和膳食补充剂使用的相关性。我们还建立了机器学习模型,使用人口统计数据和肥胖状况对处方药和膳食补充剂的使用进行分类。肥胖者比非肥胖者更倾向于服用心血管药物(OR=2.095,95%CI 1.989~2.207)和代谢药物(OR=1.658,95%CI 1.573~1.748)。性别、年龄、种族、贫困收入比和保险状况与膳食补充剂的使用显著相关。表现最好的处方药使用分类模型准确率为74.3%,AUROC为0.82。表现最佳的膳食补充剂使用分类模型的准确率为65.3%,AUROC为0.71。这项研究可以为临床实践和患者教育提供指导,了解处方药和膳食补充剂的使用及其与肥胖的关系。
Obesity is a common disease and a known risk factor for many other conditions such as hypertension, type 2 diabetes, and cancer. Treatment options for obesity include lifestyle changes, pharmacotherapy, and surgical interventions such as bariatric surgery. In this study, we examine the use of prescription drugs and dietary supplements by the individuals with obesity. We conducted a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data 2003–2018. We used multivariate logistic regression to analyze the correlations of demographics and obesity status with the use of prescription drugs and dietary supplement use. We also built machine learning models to classify prescription drug and dietary supplement use using demographic data and obesity status. Individuals with obesity are more likely to take cardiovascular agents (OR = 2.095, 95% CI 1.989–2.207) and metabolic agents (OR = 1.658, 95% CI 1.573–1.748) than individuals without obesity. Gender, age, race, poverty income ratio, and insurance status are significantly correlated with dietary supplement use. The best performing model for classifying prescription drug use had the accuracy of 74.3% and the AUROC of 0.82. The best performing model for classifying dietary supplement use had the accuracy of 65.3% and the AUROC of 0.71. This study can inform clinical practice and patient education of the use of prescription drugs and dietary supplements and their correlation with obesity.
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