[男性慢性阻塞性肺病患者身体成分指标与运动能力和营养状况的相关性]。

Q3 Medicine
T Y Yang, M S W Qumu, X P Li, S Y Wang, J Z He, T Yang
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Based on the fat-free mass index (FFMI), patients were categorized into a low FFMI group (FFMI<17 kg/m<sup>2</sup>) and a normal FFMI group (FFMI≥17 kg/m<sup>2</sup>). Based on phase angle (PhA), patients were categorized into the low PhA group (PhA<5°) and the normal PhA group (PhA≥5°). Based on 6MWD, patients were divided into impaired endurance group (6MWD<350 m) and normal endurance group (6MWD≥350 m). Differences in body composition indexes, exercise capacity, and nutritional status of patients in different subgroups were compared. A trend test was used to analyze the trend of GOLD grading and body composition indexes. Correlation analysis was used to analyze the correlation of FFMI, PhA, skeletal muscle mass index (SMI), basal metabolic rate (BMR), and visceral fat index (VFI) with 6MWD, HGS, post-diastolic exertional expiratory volume in the first second as a percentage of exertional lung capacity (FEV<sub>1</sub>%pred), and body mass index (BMI). <b>Results:</b> The age of 90 male COPD patients was 66 (59, 71) years. FFMI, PhA, SMI, BMR, VFI, HGS, and 6MWD tended to decrease with increasing GOLD levels (all <i>P</i><0.05). In the low FFMI group (31 cases), PhA [5.0° (4.7°, 5.1°) vs 5.8° (5.6°, 6.3°)], SMI [6.3 (5.3, 6.9)vs 8.3 (7.7, 9.1) kg/m<sup>2</sup>], and BMR [(1 294.5±387.2) vs (1 538.7±207.5) kcal(1 kcal=4.184 kJ)], VFI [(10.0±4.2) grades vs (14.2±3.3) grades], 6MWD [(430.5±90.8) vs (537.2±85.5) m], FEV<sub>1</sub>%pred [(37.8±7.9)% vs (73.7±21.5)%], BMI [(20.2±3.8) vs (25.5±2.9) kg/m<sup>2</sup>] were lower than those in the normal FFMI group (59 cases, all <i>P</i><0.05). In the low PhA group (23 cases), FFMI [(16.7±2.2) vs (19.5±1.5) kg/m<sup>2</sup>], SMI [6.6 (5.9, 7.0) vs 7.3 (7.7, 9.0) kg/m<sup>2</sup>], BMR [(1 251.8±246.2) vs (1 547.5±206.6) kcal], 6MWD [(451.0±47.1) vs (538.3±87.5) m], HGS [(29.6±4.0) vs (36.4±7.2) kg], FEV<sub>1</sub>%pred [(51.2±15.3)% vs (72.9±22.8)%], BMI [(20.9±3.7) vs (25.5±2.8) kg/m<sup>2</sup>] were lower than those of the normal PhA group (67 cases, all <i>P</i><0.05). In the impaired endurance group (21 cases) PhA [5.2° (5.1°, 5.3°) vs 5.8° (5.6°, 6.3°)], FEV<sub>1</sub>%pred [(34.2±15.4)% vs (72.7±22.2)%] were lower than those in the normal endurance group (69 cases, all <i>P<</i>0.05). Correlation analysis showed that FFMI was positively correlated with HGS, FEV<sub>1</sub>%pred, and BMI (<i>r</i> values of 0.327, 0.235, and 0.782, all <i>P</i><0.05); PhA was positively correlated with 6MWD, FEV<sub>1</sub>%pred, and BMI (<i>r</i> values of 0.341, 0.258, and 0.251, all <i>P</i><0.05); SMI was positively correlated with HGS and BMI (<i>r</i> values of 0.411 and 0.710, all <i>P</i><0.05); BMR was positively correlated with 6MWD, HGS, FEV<sub>1</sub>%pred, and BMI (<i>r</i> values of 0.338, 0.508, 0.285, and 0.676, all <i>P</i><0.05); VFI was positively correlated with BMI (<i>r</i> value of 0.791, <i>P</i><0.001). <b>Conclusions:</b> FFMI is positively correlated with HGS, FEV<sub>1</sub>%pred, and BMI; PhA is positively correlated with 6MWD, FEV<sub>1</sub>%pred, and BMI; SMI is positively correlated with HGS and BMI; BMR is positively correlated with 6MWD, HGS, FEV<sub>1</sub>%pred, and BMI; VFI is positively correlated with BMI. Body composition indexes may reflect the exercise capacity and nutritional status of male COPD patients.</p>","PeriodicalId":24023,"journal":{"name":"Zhonghua yi xue za zhi","volume":"104 36","pages":"3402-3408"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Correlation of body composition indicators with exercise capacity and nutritional status in male patients with chronic obstructive pulmonary disease].\",\"authors\":\"T Y Yang, M S W Qumu, X P Li, S Y Wang, J Z He, T Yang\",\"doi\":\"10.3760/cma.j.cn112137-20240129-00227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> To investigate the correlation of body composition indices with exercise capacity and nutritional status in male chronic obstructive pulmonary disease (COPD) patients. <b>Methods:</b> The clinical data of 90 male COPD patients admitted to the Department of Respiratory and Critical Care Medicine of China-Japan Friendship Hospital from January 2021 to September 2022 were retrospectively collected, and the patients were subjected to a pulmonary function test, body composition measurement, 6-minute walking test distance (6MWD) test, and dominant handgrip strength measurement (HGS). The patients were categorized into COPD Global Initiative for COPD (GOLD) grade 1, 2, 3 and 4 groups according to the severity of lung function. Based on the fat-free mass index (FFMI), patients were categorized into a low FFMI group (FFMI<17 kg/m<sup>2</sup>) and a normal FFMI group (FFMI≥17 kg/m<sup>2</sup>). Based on phase angle (PhA), patients were categorized into the low PhA group (PhA<5°) and the normal PhA group (PhA≥5°). Based on 6MWD, patients were divided into impaired endurance group (6MWD<350 m) and normal endurance group (6MWD≥350 m). Differences in body composition indexes, exercise capacity, and nutritional status of patients in different subgroups were compared. A trend test was used to analyze the trend of GOLD grading and body composition indexes. Correlation analysis was used to analyze the correlation of FFMI, PhA, skeletal muscle mass index (SMI), basal metabolic rate (BMR), and visceral fat index (VFI) with 6MWD, HGS, post-diastolic exertional expiratory volume in the first second as a percentage of exertional lung capacity (FEV<sub>1</sub>%pred), and body mass index (BMI). <b>Results:</b> The age of 90 male COPD patients was 66 (59, 71) years. FFMI, PhA, SMI, BMR, VFI, HGS, and 6MWD tended to decrease with increasing GOLD levels (all <i>P</i><0.05). In the low FFMI group (31 cases), PhA [5.0° (4.7°, 5.1°) vs 5.8° (5.6°, 6.3°)], SMI [6.3 (5.3, 6.9)vs 8.3 (7.7, 9.1) kg/m<sup>2</sup>], and BMR [(1 294.5±387.2) vs (1 538.7±207.5) kcal(1 kcal=4.184 kJ)], VFI [(10.0±4.2) grades vs (14.2±3.3) grades], 6MWD [(430.5±90.8) vs (537.2±85.5) m], FEV<sub>1</sub>%pred [(37.8±7.9)% vs (73.7±21.5)%], BMI [(20.2±3.8) vs (25.5±2.9) kg/m<sup>2</sup>] were lower than those in the normal FFMI group (59 cases, all <i>P</i><0.05). In the low PhA group (23 cases), FFMI [(16.7±2.2) vs (19.5±1.5) kg/m<sup>2</sup>], SMI [6.6 (5.9, 7.0) vs 7.3 (7.7, 9.0) kg/m<sup>2</sup>], BMR [(1 251.8±246.2) vs (1 547.5±206.6) kcal], 6MWD [(451.0±47.1) vs (538.3±87.5) m], HGS [(29.6±4.0) vs (36.4±7.2) kg], FEV<sub>1</sub>%pred [(51.2±15.3)% vs (72.9±22.8)%], BMI [(20.9±3.7) vs (25.5±2.8) kg/m<sup>2</sup>] were lower than those of the normal PhA group (67 cases, all <i>P</i><0.05). In the impaired endurance group (21 cases) PhA [5.2° (5.1°, 5.3°) vs 5.8° (5.6°, 6.3°)], FEV<sub>1</sub>%pred [(34.2±15.4)% vs (72.7±22.2)%] were lower than those in the normal endurance group (69 cases, all <i>P<</i>0.05). Correlation analysis showed that FFMI was positively correlated with HGS, FEV<sub>1</sub>%pred, and BMI (<i>r</i> values of 0.327, 0.235, and 0.782, all <i>P</i><0.05); PhA was positively correlated with 6MWD, FEV<sub>1</sub>%pred, and BMI (<i>r</i> values of 0.341, 0.258, and 0.251, all <i>P</i><0.05); SMI was positively correlated with HGS and BMI (<i>r</i> values of 0.411 and 0.710, all <i>P</i><0.05); BMR was positively correlated with 6MWD, HGS, FEV<sub>1</sub>%pred, and BMI (<i>r</i> values of 0.338, 0.508, 0.285, and 0.676, all <i>P</i><0.05); VFI was positively correlated with BMI (<i>r</i> value of 0.791, <i>P</i><0.001). <b>Conclusions:</b> FFMI is positively correlated with HGS, FEV<sub>1</sub>%pred, and BMI; PhA is positively correlated with 6MWD, FEV<sub>1</sub>%pred, and BMI; SMI is positively correlated with HGS and BMI; BMR is positively correlated with 6MWD, HGS, FEV<sub>1</sub>%pred, and BMI; VFI is positively correlated with BMI. 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引用次数: 0

摘要

目的研究男性慢性阻塞性肺病(COPD)患者的身体成分指数与运动能力和营养状况的相关性。方法回顾性收集中日友好医院呼吸与危重症医学科 2021 年 1 月至 2022 年 9 月收治的 90 例男性 COPD 患者的临床资料,对患者进行肺功能测试、身体成分测量、6 分钟步行距离(6MWD)测试和优势手握力测量(HGS)。根据肺功能的严重程度,患者被分为 COPD 全球倡议(GOLD)1、2、3 和 4 级组。根据无脂肪质量指数(FFMI),将患者分为低 FFMI 组(FFMI2)和正常 FFMI 组(FFMI≥17 kg/m2)。根据相位角(PhA)和体重指数(BMI)将患者分为低 PHA 组(PhA1%pred)。结果90 名男性 COPD 患者的年龄为 66(59,71)岁。FFMI、PhA、SMI、BMR、VFI、HGS 和 6MWD 随着 GOLD 水平的升高而呈下降趋势(均为 P2],而 BMR [(1 294.5±387.2) vs (1 538.7±207.5) kcal(1 kcal=4.184 kJ)]、VFI [(10.0±4.2) 级 vs (14.2±3. 3)级]、6MWD 则随着 GOLD 水平的升高而呈下降趋势。3)级]、6MWD[(430.5±90.8) vs (537.2±85.5) m]、FEV1%pred[(37.8±7.9)% vs (73.7±21.5)%]、BMI[(20.2±3.8) vs (25.5±2.9) kg/m2]均低于正常 FFMI 组(59 例,均为 P2)、SMI[6.6(5.9, 7.0) vs 7.3 (7.7, 9.0) kg/m2]、基础代谢率[(1 251.8±246.2) vs (1 547.5±206.6) kcal]、6MWD[(451.0±47.1) vs (538. 3±87.5) m]均低于正常FFMI组(59例,均为P2)。3±87.5) m]、HGS[(29.6±4.0) vs (36.4±7.2) kg]、FEV1%pred[(51.2±15.3)% vs (72.9±22.8)%]、BMI[(20.P1%pred[(34.2±15.4)% vs (72.7±22.2)%]均低于正常耐力组(69例,均P0.05)。相关分析显示,FFMI 与 HGS、FEV1%pred 和 BMI 呈正相关(r 值分别为 0.327、0.235 和 0.782,均为 P1%pred,BMI(r 值分别为 0.341、0.258 和 0.251,Pr 值均为 0.411 和 0.710,均为 P1%pred;BMI(r 值为 0.338、0.508、0.285 和 0.676,Pr 值均为 0.791,PConclusions:FFMI 与 HGS、FEV1%pred 和 BMI 呈正相关;PhA 与 6MWD、FEV1%pred 和 BMI 呈正相关;SMI 与 HGS 和 BMI 呈正相关;BMR 与 6MWD、HGS、FEV1%pred 和 BMI 呈正相关;VFI 与 BMI 呈正相关。身体成分指数可反映男性慢性阻塞性肺病患者的运动能力和营养状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Correlation of body composition indicators with exercise capacity and nutritional status in male patients with chronic obstructive pulmonary disease].

Objective: To investigate the correlation of body composition indices with exercise capacity and nutritional status in male chronic obstructive pulmonary disease (COPD) patients. Methods: The clinical data of 90 male COPD patients admitted to the Department of Respiratory and Critical Care Medicine of China-Japan Friendship Hospital from January 2021 to September 2022 were retrospectively collected, and the patients were subjected to a pulmonary function test, body composition measurement, 6-minute walking test distance (6MWD) test, and dominant handgrip strength measurement (HGS). The patients were categorized into COPD Global Initiative for COPD (GOLD) grade 1, 2, 3 and 4 groups according to the severity of lung function. Based on the fat-free mass index (FFMI), patients were categorized into a low FFMI group (FFMI<17 kg/m2) and a normal FFMI group (FFMI≥17 kg/m2). Based on phase angle (PhA), patients were categorized into the low PhA group (PhA<5°) and the normal PhA group (PhA≥5°). Based on 6MWD, patients were divided into impaired endurance group (6MWD<350 m) and normal endurance group (6MWD≥350 m). Differences in body composition indexes, exercise capacity, and nutritional status of patients in different subgroups were compared. A trend test was used to analyze the trend of GOLD grading and body composition indexes. Correlation analysis was used to analyze the correlation of FFMI, PhA, skeletal muscle mass index (SMI), basal metabolic rate (BMR), and visceral fat index (VFI) with 6MWD, HGS, post-diastolic exertional expiratory volume in the first second as a percentage of exertional lung capacity (FEV1%pred), and body mass index (BMI). Results: The age of 90 male COPD patients was 66 (59, 71) years. FFMI, PhA, SMI, BMR, VFI, HGS, and 6MWD tended to decrease with increasing GOLD levels (all P<0.05). In the low FFMI group (31 cases), PhA [5.0° (4.7°, 5.1°) vs 5.8° (5.6°, 6.3°)], SMI [6.3 (5.3, 6.9)vs 8.3 (7.7, 9.1) kg/m2], and BMR [(1 294.5±387.2) vs (1 538.7±207.5) kcal(1 kcal=4.184 kJ)], VFI [(10.0±4.2) grades vs (14.2±3.3) grades], 6MWD [(430.5±90.8) vs (537.2±85.5) m], FEV1%pred [(37.8±7.9)% vs (73.7±21.5)%], BMI [(20.2±3.8) vs (25.5±2.9) kg/m2] were lower than those in the normal FFMI group (59 cases, all P<0.05). In the low PhA group (23 cases), FFMI [(16.7±2.2) vs (19.5±1.5) kg/m2], SMI [6.6 (5.9, 7.0) vs 7.3 (7.7, 9.0) kg/m2], BMR [(1 251.8±246.2) vs (1 547.5±206.6) kcal], 6MWD [(451.0±47.1) vs (538.3±87.5) m], HGS [(29.6±4.0) vs (36.4±7.2) kg], FEV1%pred [(51.2±15.3)% vs (72.9±22.8)%], BMI [(20.9±3.7) vs (25.5±2.8) kg/m2] were lower than those of the normal PhA group (67 cases, all P<0.05). In the impaired endurance group (21 cases) PhA [5.2° (5.1°, 5.3°) vs 5.8° (5.6°, 6.3°)], FEV1%pred [(34.2±15.4)% vs (72.7±22.2)%] were lower than those in the normal endurance group (69 cases, all P<0.05). Correlation analysis showed that FFMI was positively correlated with HGS, FEV1%pred, and BMI (r values of 0.327, 0.235, and 0.782, all P<0.05); PhA was positively correlated with 6MWD, FEV1%pred, and BMI (r values of 0.341, 0.258, and 0.251, all P<0.05); SMI was positively correlated with HGS and BMI (r values of 0.411 and 0.710, all P<0.05); BMR was positively correlated with 6MWD, HGS, FEV1%pred, and BMI (r values of 0.338, 0.508, 0.285, and 0.676, all P<0.05); VFI was positively correlated with BMI (r value of 0.791, P<0.001). Conclusions: FFMI is positively correlated with HGS, FEV1%pred, and BMI; PhA is positively correlated with 6MWD, FEV1%pred, and BMI; SMI is positively correlated with HGS and BMI; BMR is positively correlated with 6MWD, HGS, FEV1%pred, and BMI; VFI is positively correlated with BMI. Body composition indexes may reflect the exercise capacity and nutritional status of male COPD patients.

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Zhonghua yi xue za zhi
Zhonghua yi xue za zhi Medicine-Medicine (all)
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