| 宋瑶,冯钰婷,王莉莉.基于人体成分的穴位埋线减重效果预测因素分析[J].浙江中医药大学学报,2023,47(1):73-76, 83. |
| 基于人体成分的穴位埋线减重效果预测因素分析 |
| Analysis of Predictive Factors of Weight Reduction Effect of Acupoint Catgut Embedding Based on Human Body Composition |
| DOI：10.16466/j.issn1005-5509.2023.01.015 |
| 中文关键词: 单纯性肥胖 穴位埋线 预测因素 内脏脂肪面积 约登指数 多频生物电阻抗分析法 |
| 英文关键词: simple obesity acupoint catgut embedding predictive factors visceral fat area Youden index bioelectrical impedance analysis |
| 基金项目:浙江省中医药科研基金项目(2022ZB157) |
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| 中文摘要: |
| [目的] 分析人体成分指标，筛选可预测穴位埋线减重疗效的因素。 [方法] 回顾性分析2020年9月至2021年9月在浙江中医药大学附属第二医院针灸科进行穴位埋线治疗的73例单纯性肥胖患者的临床资料，观察治疗前后体质量指数(body mass index，BMI)、体质量变化，根据治疗结果，分为有效组和无效组，采用独立样本t检验、非参数检验和χ2检验，对胞内水分(intracellular water，ICW)含量、胞外水分(extracellular water，ECW)含量、蛋白质含量、体脂率(percentage body fat，PBF)、腰臀比(waist-to-hip ratio，WHR)、骨矿含量(bone mineral content，BMC)、内脏脂肪面积(visceral fat area，VFA)进行分析，筛选减重疗效的影响因素。通过二元Logistic回归分析，获得减重效果的预测因素，绘制受试者工作特征(receiver operating characteristic，ROC)曲线，检验模型的预测效能。[结果] 穴位埋线治疗后，单纯性肥胖患者平均体质量从(79.34±1.95) kg降至(74.30±1.74)kg(P=0.000)，平均BMI从(28.70±4.86) kg/m2降至(27.13±4.36) kg/m2(P=0.012)。纳入的73例单纯性肥胖患者经穴位埋线治疗后，有60例判定为有效。VFA、PBF是穴位埋线疗效的影响因素(P＜0.05)。二元Logistic分析显示，VFA是减重效果的关键预测因素，优势比(odds ratio，OR)为1.015，95%置信区间(confidence interval，CI)为(1.00，1.03)(P=0.046)。ROC曲线示，VFA以91.35 cm2为最佳截断值时，约登指数为最大值，敏感度94.1%，特异度43.5%。[结论] VFA是穴位埋线后减重效果的关键预测指标，VFA大于91.35 cm2时，穴位埋线减重效果更好。 |
| 英文摘要: |
| [Objective] To analyze the indexes of body composition and screen the factors that can predict the efficacy of acupoint catgut embedding for weight loss. [Methods] The clinical data of 73 simple obese patients who received acupoint catgut embedding therapy in the Department of Acupuncture and Moxibustion of the Second Affiliated Hospital of Zhejiang Chinese Medical University from September 2020 to September 2021 were retrospectively analyzed. The body mass index(BMI) and body mass changes before and after treatment were observed， they were divided into effective group and ineffective group according to the treatment results， independent sample t test， nonparametric test and Chi-square test were used to analyze intracellular water(ICW) content， extracellular water(ECW) content， protein content， percentage body fat(PBF)， waist-to-hip ratio(WHR)， bone mineral content(BMC) and visceral fat area(VFA) which were used to screen the influencing factors of weight loss efficacy. Binary Logistic regression analysis was used to obtain the predictive factors of weight loss effect， receiver operating characteristic(ROC) curves was drawn to test the predictive power of the model. [Results] After acupoint catgut embedding therapy， the average body weight of simple obesity patients decreased from(79.34±1.95) kg to(74.30±1.74) kg(P=0.000)， and the average BMI decreased from(28.70±4.86) kg/m2 to(27.13±4.36) kg/m2(P=0.012). After acupoint catgut embedding treatment， 60 patients were judged to be effective. VFA and PBF were the influencing factors of acupoint catgut embedding effect(P＜0.05). Binary Logistic analysis showed that VFA was a key predictor of weight loss effect， whose odds ratio(OR)=1.015， 95% confidence interval(CI)=(1.00，1.03，P=0.046). ROC curves showed that when VFA was 91.35 cm2 as the best cut-off value， the Youden index was the maximum value， the sensitivity was 94.1%， and the specificity was 43.5%. [Conclusion] VFA is a key predictor of weight loss after acupoint catgut embedding. When VFA is greater than 91.35 cm2， the weight loss effect of acupoint catgut embedding is better. |
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