• 제목/요약/키워드: Obesity Pattern Identification Questionnaire

검색결과 15건 처리시간 0.023초

항고혈압제제를 복용 중인 성인 고혈압 환자의 한열 특성에 관한 연구 (Study on Cold-Heat Pattern Identification in Hypertensive Patients with Antihypertensive Agents)

  • 양나래;한창호
    • 대한한방내과학회지
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    • 제34권3호
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    • pp.267-277
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    • 2013
  • Objectives : The aim of this study was to investigate the correlation between Cold-Heat pattern tendency and demographic traits, physical character, and vital signs in hypertensive patients taking anti-hypertensive agents. Methods : 28 hypertensive patients 30 to 69 years old were recruited. We assessed their general characteristics, physical characteristics (height, weight, waist circumference, etc.), vital signs without respiratory rate (blood pressure, pulse rate, temperature) and administered a Cold-Heat pattern questionnaire. After that, we analyzed statistical data on separate groups according to Cold-Heat characteristics or other criteria. Results : 1. Heat group patients had statistically higher scores in waist, body mass index (BMI), waist circumference and pulse rate. 2. Over weighted group patients had statistically lower scores in cold Pattern Identification. 3. Higher BMI group (above 23/25) patients had statistically significantly higher Heat scores and lower Cold scores, higher waist circumference group patients had lower Cold scores. Conclusions : From the above result in hypertensive patients taking hypertensive agents, Heat group had a obesity tendency and the inverse is also valid. Later, progressed study based on more samples and varied data will contribute to diagnosis the Cold-heat Pattern identification in hypertensive patients.

비만 환자에서 한방 비만 변증에 따른 방풍통성산과 방기황기탕의 치료효과 및 부작용 비교 : 무작위 배정, 이중 맹검, 위약-대조군 임상시험 (Efficacy and Adverse Events of Bangpungtongseong-san(Bofutsusho-san) and Bangkihwangki-tang(Boiogiot-tang) by Oriental Obesity Pattern Identification on Obese Subjects : Randomized, Double Blind, Placebo-controlled Trial)

  • 박정현;이명종;김호준;홍선우;이동기;유재욱;최선미;문진석;임지연;이정복
    • 한방재활의학과학회지
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    • 제21권2호
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    • pp.265-278
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    • 2011
  • Objectives : This trial were conducted to evaluate the efficacy and adverse events of Bofutsusho-san(BTS) and Boiogiot-tang(BOT) by oriental obesity pattern identification on obese subjects, as compared to placebo. Methods : 166 subjects(body mass index ${\geq}25kg/m^2$) were recruited and randomized to receive BT(n=55), FH(n=55) or placebo(n=56) for 8 weeks. Anthropometric factors, serum lipid, glucose, blood pressure(BP), pulse rate, resting metabolic rate and oriental obesity pattern identification questionnaire were measured at baseline and 8 weeks. Adverse events and safety outcome variables were also checked during trials. Results : The frequency of top-scored oriental obesity pattern was ordered by indigestion(食積) > stagnation of the liver qi(肝鬱) > yang deficiency(陽虛) > spleen deficiency(脾虛) > phlegm(痰飮) > blood stasis(瘀血) in subjects. BTS group significantly decreased body weight, body mass index(BMI), waist circumference(WC), body fat mass, total cholesterol and HDL-cholesterol in stagnation of the liver qi(肝鬱) and WC in indigestion(食積). BOT group showed significant decrease of body weight, BMI, WC, and body fat mass in indigestion(食積) not in deficiency(虛症). Adverse events were reported most frequently in yang deficiency(陽虛) by BT group and stagnation of the liver qi(肝鬱) by BOT group. Conclusions : Bofu-tsusho-san was effective in treating obesity with stagnation of the liver qi(肝鬱). Obesity pattern identification could be a useful diagnostic tool predicting treatment effects and adverse events.

데이터 마이닝을 이용한 한의비만변증 설문지 재평가: 실제 임상에서 수집한 설문응답 기반으로 (Re-evaluation of Obesity Syndrome Differentiation Questionnaire Based on Real-world Survey Data Using Data Mining)

  • 오지홍;왕징화;최선미;김호준
    • 한방비만학회지
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    • 제21권2호
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    • pp.80-94
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    • 2021
  • Objectives: The purpose of this study is to re-evaluate the importance of questions of obesity syndrome differentiation (OSD) questionnaire based on real-world survey and to explore the possibility of simplifying OSD types. Methods: The OSD frequency was identified, and variance threshold feature selection was performed to filter the questions. Filtered questions were clustered by K-means clustering and hierarchical clustering. After principal component analysis (PCA), the distribution patterns of the subjects were identified and the differences in the syndrome distribution were compared. Results: The frequency of OSD in spleen deficiency, phlegm (PH), and blood stasis (BS) was lower than in food retention (FR), liver qi stagnation (LS), and yang deficiency. We excluded 13 questions with low variance, 7 of which were related to BS. Filtered questions were clustered into 3 groups by K-means clustering; Cluster 1 (17 questions) mainly related to PH, BS syndromes; Cluster 2 (11 questions) related to swelling, and indigestion; Cluster 3 (11 questions) related to overeating or emotional symptoms. After PCA, significant different patterns of subjects were observed in the FR, LS, and other obesity syndromes. The questions that mainly affect the FR distribution were digestive symptoms. And emotional symptoms mainly affect the distribution of LS subjects. And other obesity syndrome was partially affected by both digestive and emotional symptoms, and also affected by symptoms related to poor circulation. Conclusions: In-depth data mining analysis identified relatively low importance questions and the potential to simplify OSD types.

Study on the Anthropometric and Body Composition Indices for Prediction of Cold and Heat Pattern

  • Mun, Sujeong;Park, Kihyun;Lee, Siwoo
    • 대한한의학회지
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    • 제42권4호
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    • pp.185-196
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    • 2021
  • Objectives: Many symptoms of cold and heat patterns are related to the thermoregulation of the body. Thus, we aimed to study the association of cold and heat patterns with anthropometry/body composition. Methods: The cold and heat patterns of 2000 individuals aged 30-55 years were evaluated using a self-administered questionnaire. Results: Among the anthropometric and body composition variables, body mass index (-0.37, 0.39) and fat mass index (-0.35, 0.38) had the highest correlation coefficients with the cold and heat pattern scores after adjustment for age and sex in the cold-heat group, while the correlation coefficients were relatively lower in the non-cold-heat group. In the cold-heat group, the most parsimonious model for the cold pattern with the variables selected by the best subset method and Lasso included sex, body mass index, waist-hip ratio, and extracellular water/total body water (adjusted R2 = 0.324), and the model for heat pattern additionally included age (adjusted R2 = 0.292). Conclusions: The variables related to obesity and water balance were the most useful for predicting cold and heat patterns. Further studies are required to improve the performance of prediction models.

천식(喘息) 환자의 허실한열변증(虛實寒熱辨證)과 특성 비교 분석 (Deficiency-excess and Cold-heat Pattern Identification and Analysis of the Characteristics of Asthma Patients)

  • 방연희;김재효;도하윤;김미아;김관일;이범준;정희재
    • 대한한방내과학회지
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    • 제38권6호
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    • pp.955-970
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    • 2017
  • Objectives: The aim of this observational study was to identify and analyze the patterns to compare the characteristics of asthma patients. Methods: The subjects were 40 asthma patients who had satisfied the inclusion and exclusion criteria. They were divided into deficiency syndrome and excess syndrome groups, and cold syndrome and heat syndrome groups. Their quality of life was measured by the quality of life questionnaire for adult Korean asthmatics (QLQAKA) and VAS. Heart rate variability (HRV) was measured, and the degree of obesity was evaluated by body mass index (BMI). Hematological, biochemical, and immunoglobulin (Ig) E laboratory tests were included. Results: Based on pattern identification, the 40 asthma patients could be divided into two categories of groups: 1) the deficiency syndrome (N=18) and the excess syndrome (N=22) groups: 2) the cold syndrome (N=35) and the heat syndrome (N=5) groups. The mean value of HF differed significantly between the deficiency and excess syndrome groups. The mean value of IgE in blood tests of asthmatics was greater than four times the reference value. For BMI, the subjects were classified into three groups: normal weight (N=12), overweight (N=12), and obese (N=16). Conclusions: Development of a more accurate asthma-specific pattern identification tool could play a crucial role in asthma control. In addition, good control of asthma can improve the quality of life. Obesity is one of the factors associated with asthma exacerbation.