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Q3 Medicine

北京大学学报（医学版） Pub Date : 2025-02-18

Huili Liu, Bei Wen, Xue Bai, Ming'an Chen, Min Li

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引用次数: 0

摘要

目的调查美国成年人体重调整后腰围指数（WWI）与急性、亚急性疼痛或慢性疼痛之间的关系：这是一项横断面研究。从 1999-2004 年全国健康与营养调查（NHANES）中提取了有关腰围、体重、疼痛状况和协变量（年龄、性别、种族、婚姻状况、教育水平和收入、体育活动、饮酒、吸烟状况和糖尿病）的数据进行分析。对三个模型进行了多项式逻辑回归，以研究 WWI 与急性、亚急性和慢性疼痛之间的关系。模型 1 未做任何调整。模型 2 对年龄、性别、种族、婚姻状况、教育程度和收入进行了调整。模型 3 对体力活动、饮酒、吸烟和糖尿病状况做了进一步调整：这项研究涉及 12 694 名参与者，平均年龄为（50.6±18.7）岁。在所有参与者中，9 614 人（75.74%）无疼痛，870 人（6.85%）有急性疼痛，354 人（2.79%）有亚急性疼痛，1 856 人（14.62%）有慢性疼痛。所有参与者的WWI为（10.95±0.85）cm/\$sqrt\{mathrm{kg}}$，根据四分位数分为四组：Q1组（7.90-10.36）cm/$sqrt/{mathrm{kg}}$、Q2组（10.37-10.94）cm/$sqrt/{mathrm{kg}}$、Q3组（10.95-11.53）cm/$sqrt/{mathrm{kg}}$和Q4组（11.54-15.20）cm/$sqrt/{mathrm{kg}}$。随着WWI的增加，分析表明参与者的急性和慢性疼痛状况存在显著的统计学差异（所有P均<0.001）。在模型 1 中，与 Q1 组相比，Q2 组和 Q4 组的急性疼痛发生率较低（Q2 组：OR=0.765，95%CI：0.615-0.953，P=0.017；Q4 组：OR=0.648，95%CI：0.615-0.953，P=0.017）：OR=0.648，95%CI：0.503-0.835，P<0.001）。与 Q1 组相比，Q2 组、Q3 组和 Q4 组的慢性疼痛患病率有所增加（Q2 组：OR=1.365，95%CI：1.149-1.622，P<0.001；Q3 组：OR=1.291，95%CI：1.082-1.541，P=0.005；Q4 组：OR=1.874，95%CI：0.503-0.835，P<0.001）：OR=1.874，95%CI：1.579-2.224，P<0.001）。在模型 2 中，与 Q1 组相比，其他三组中慢性疼痛患病率的增加仍与 WWI 的增加相关（Q2 组：OR=1.359，95%CI：1.137-1.624，P=0.001；Q3 组：OR=1.260，95%CI：1.039-1.528，P=0.019；Q4 组：OR=1.735，95%CI：1.579-2.224，P=0.001）：OR=1.735，95%CI：1.413-2.132，P<0.001）。在模型 3 中，与 Q1 组相比，Q4 组的慢性疼痛患病率增加了 49.2%（OR = 1.492，95%CI：1.208-1.842，P <0.001）。然而，在模型 2 和模型 3 中，急性疼痛与 WWI 之间没有发现明显的关系（P 均大于 0.05）。三个模型均未发现亚急性疼痛与 WWI 之间有明显关系（均为 P>0.05）：结论：对于美国成年人来说，WWI 与急性疼痛或亚急性疼痛之间没有明显的相关性。结论：对于美国成年人来说，WWI 与急性疼痛或亚急性疼痛之间没有明显的相关性，但随着 WWI 的增加，慢性疼痛的发病率也会增加。有必要通过大规模的前瞻性研究进一步验证这一结论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

本刊更多论文

[Association between weight-adjusted waist index and pain: A cross-sectional study].

Objective: To investigate the relationship between the weight-adjusted waist index (WWI) and acute, subacute pain or chronic pain among American adults.

Methods: There was a cross-sectional study. Data from the 1999-2004 National Health and Nutrition Examination Survey (NHANES) concerning waist circumference, weight, pain status and covariates (age, gender, race, marital status, education level and income, physical activity, alcohol consumption, smoking status, and diabetes) were extracted for analysis. Multinomial Logistic regression was conducted across the three models to investigate the associations between WWI and acute, subacute and chronic pain. Model 1 did not involve any adjustments. Model 2 involved adjustments for age, gender, race, marital status, education level, and income. Model 3 was further adjusted for physical activity, alcohol consumption, smoking, and diabetes status.

Results: This study involved 12 694 participants with an average age of (50.6±18.7) years. Among all the participants, 9 614 people (75.74%) had no pain, 870 people (6.85%) experienced acute pain, 354 people (2.79%) suffered from subacute pain, and 1 856 people (14.62%) experienced chronic pain. The WWI of all the participants was (10.95±0.85) cm/$\sqrt{\mathrm{kg}}$, divided into four groups based on quartiles: Group Q1 (7.90-10.36) cm/$\sqrt{\mathrm{kg}}$, group Q2 (10.37-10.94) cm/$\sqrt{\mathrm{kg}}$, group Q3 (10.95-11.53) cm/$\sqrt{\mathrm{kg}}$ and group Q4 (11.54-15.20) cm/$\sqrt{\mathrm{kg}}$. With the increase of WWI, the analysis revealed a significant statistical difference in the participants' acute and chronic pain status (all P < 0.001). In Model 1, the prevalence of acute pain was lower in group Q2 and group Q4 compared with group Q1 (group Q2: OR=0.765, 95%CI: 0.615-0.953, P=0.017; group Q4: OR= 0.648, 95%CI: 0.503-0.835, P < 0.001). Compared with group Q1, the prevalence of chronic pain increased in group Q2, group Q3, and group Q4 (group Q2: OR =1.365, 95%CI: 1.149-1.622, P < 0.001; group Q3: OR=1.291, 95%CI: 1.082-1.541, P=0.005; group Q4: OR=1.874, 95%CI: 1.579-2.224, P < 0.001). In Model 2, compared with group Q1, an increase in chronic pain prevalence was still associated with an increase in WWI in other three groups (group Q2: OR=1.359, 95%CI: 1.137-1.624, P=0.001; group Q3: OR=1.260, 95%CI: 1.039-1.528, P=0.019; group Q4: OR=1.735, 95%CI: 1.413-2.132, P < 0.001). In Model 3, group Q4 had a 49.2% increased prevalence of chronic pain compared to group Q1 (OR = 1.492, 95%CI: 1.208-1.842, P < 0.001). However, in Models 2 and 3, no significant relationship was observed between acute pain and WWI (all P>0.05). And none of the three models identified a significant association between subacute pain and WWI (all P>0.05).

Conclusion: For American adults, there was no significant correlation between WWI and acute pain or subacute pain. However, as WWI increases, so does the prevalence of chronic pain. Further validation of this conclusion through large-scale prospective studies is warranted.

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来源期刊

北京大学学报（医学版） Medicine-Medicine (all)

CiteScore

0.80

自引率

0.00%

发文量

9815

期刊介绍： Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases. The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.