{"title":"自主平衡是足球运动员身体组成成分变化的一个因素","authors":"D. Golubev","doi":"10.47529/2223-2524.2022.1.8","DOIUrl":null,"url":null,"abstract":"Objective: To investigate the nature of the relationship between the indicators of heart rate variability (HRV), reflecting the state of autonomous balance and the parameters of the component composition of the body of football players.Materials and methods: We studied n = 80 football players living in the northwestern region of the Russian Federation. Group data: 16.9 ± 0.8 years; weight 73.1 ± 4.7 kg; height 181.1 ± 4.9 cm. Monitoring of heart rate variability was carried out by the hardware and software complex “Omega-Sport, St.Petersburg”. The bioelectric activity of the heart was recorded in the II standard lead from the sitting position in the morning (9:00–10:00). The assessment of the body composition of football players was carried out four times (January, April, August, November) using the Inbody 770 analyzer, Japan.Results: SI has a strong direct correlation with the indicators: “total fat content” (r = 0.994, P = 0.011); “total water content” (r = 0.811, P = 0.013). A direct strong correlation was established between SDNN and “total fat content” (r = 0.933, P = 0.009) and an inverse strong correlation with “total muscle mass” (r = -0.877, P = 0.006). pNN50 has a strong direct correlation with “total fat content” (r = 0.889, P = 0.011), in addition, there is a strong inverse correlation with “total muscle mass” (r = 0.767, P = 0.012). HF and “total fat content” (r = 0.733, P = 0.008) have a strong direct correlation; and with the indicator “total water content” of skeletal muscle mass (r = -0.874, P = 0.011) a strong inverse. A strong inverse relationship is shown between LF and “total fat content” (r = –0.766, P = 0.011), as well as a strong direct correlation with “total muscle mass” (r = 0.951, P = 0.013), “total water content” (r = 0.917, P = 0.008).Conclusions: There is a close correlation of the indicators “total muscle mass”, “total fat content”, “total water content” with a limited number of HRV parameters: SI, SDNN, pNN50, HF, LF. The study showed a significant (p < 0.05) predominance of: the activity of the parasympathetic ANS department — the competitive period, in which there was a significant (p < 0.05) increase in “total muscle mass”, a decrease in “total fat content” in the 1st, 2nd and 3rd diagnostics; the activity of the sympathetic ANS department — the recovery period, which significantly (p < 0.05) affected: a decrease in “total muscle mass”, “total water content”; an increase in “total fat content” in the 4th diagnosis.","PeriodicalId":309619,"journal":{"name":"Sports medicine: research and practice","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Autonomous balance is a factor of changes in the components of the body composition of football players\",\"authors\":\"D. Golubev\",\"doi\":\"10.47529/2223-2524.2022.1.8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To investigate the nature of the relationship between the indicators of heart rate variability (HRV), reflecting the state of autonomous balance and the parameters of the component composition of the body of football players.Materials and methods: We studied n = 80 football players living in the northwestern region of the Russian Federation. Group data: 16.9 ± 0.8 years; weight 73.1 ± 4.7 kg; height 181.1 ± 4.9 cm. Monitoring of heart rate variability was carried out by the hardware and software complex “Omega-Sport, St.Petersburg”. The bioelectric activity of the heart was recorded in the II standard lead from the sitting position in the morning (9:00–10:00). The assessment of the body composition of football players was carried out four times (January, April, August, November) using the Inbody 770 analyzer, Japan.Results: SI has a strong direct correlation with the indicators: “total fat content” (r = 0.994, P = 0.011); “total water content” (r = 0.811, P = 0.013). A direct strong correlation was established between SDNN and “total fat content” (r = 0.933, P = 0.009) and an inverse strong correlation with “total muscle mass” (r = -0.877, P = 0.006). pNN50 has a strong direct correlation with “total fat content” (r = 0.889, P = 0.011), in addition, there is a strong inverse correlation with “total muscle mass” (r = 0.767, P = 0.012). HF and “total fat content” (r = 0.733, P = 0.008) have a strong direct correlation; and with the indicator “total water content” of skeletal muscle mass (r = -0.874, P = 0.011) a strong inverse. A strong inverse relationship is shown between LF and “total fat content” (r = –0.766, P = 0.011), as well as a strong direct correlation with “total muscle mass” (r = 0.951, P = 0.013), “total water content” (r = 0.917, P = 0.008).Conclusions: There is a close correlation of the indicators “total muscle mass”, “total fat content”, “total water content” with a limited number of HRV parameters: SI, SDNN, pNN50, HF, LF. The study showed a significant (p < 0.05) predominance of: the activity of the parasympathetic ANS department — the competitive period, in which there was a significant (p < 0.05) increase in “total muscle mass”, a decrease in “total fat content” in the 1st, 2nd and 3rd diagnostics; the activity of the sympathetic ANS department — the recovery period, which significantly (p < 0.05) affected: a decrease in “total muscle mass”, “total water content”; an increase in “total fat content” in the 4th diagnosis.\",\"PeriodicalId\":309619,\"journal\":{\"name\":\"Sports medicine: research and practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sports medicine: research and practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47529/2223-2524.2022.1.8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sports medicine: research and practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47529/2223-2524.2022.1.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:探讨反映自主平衡状态的心率变异性指标(HRV)与足球运动员身体各成分组成参数之间的关系性质。材料和方法:我们研究了居住在俄罗斯联邦西北部地区的80名足球运动员。组数据:16.9±0.8岁;重量73.1±4.7 kg;高度181.1±4.9 cm。心率变异性的监测由硬件和软件综合体“Omega-Sport, St.Petersburg”进行。上午(9:00-10:00)坐位用II标准导联记录心脏生物电活动。采用日本Inbody 770分析仪对足球运动员的身体成分进行了4次评估(1月、4月、8月、11月)。结果:SI与“总脂肪含量”有较强的直接相关性(r = 0.994, P = 0.011);总含水量(r = 0.811, P = 0.013)。SDNN与“总脂肪含量”呈正相关(r = 0.933, P = 0.009),与“总肌肉质量”呈负相关(r = -0.877, P = 0.006)。pNN50与“总脂肪含量”呈强正相关(r = 0.889, P = 0.011),与“总肌肉质量”呈强负相关(r = -0.767, P = 0.012)。HF与“总脂肪含量”有较强的直接相关性(r = 0.733, P = 0.008);与骨骼肌质量“总含水量”指标呈强负相关(r = -0.874, P = 0.011)。LF与“总脂肪含量”呈强负相关(r = -0.766, P = 0.011),与“总肌肉质量”(r = 0.951, P = 0.013)、“总含水量”(r = 0.917, P = 0.008)呈强直接相关。结论:“总肌肉质量”、“总脂肪含量”、“总含水量”指标与有限的HRV参数SI、SDNN、pNN50、HF、LF密切相关。该研究显示:副交感神经ANS部门的活动显著(p < 0.05)优势-竞争期,在第一,第二和第三诊断中“总肌肉质量”显著(p < 0.05)增加,“总脂肪含量”显著(p < 0.05)减少;交感ANS部的活动-恢复期,显著(p < 0.05)影响:“总肌肉量”,“总含水量”的减少;第四种诊断中“总脂肪含量”增加。
Autonomous balance is a factor of changes in the components of the body composition of football players
Objective: To investigate the nature of the relationship between the indicators of heart rate variability (HRV), reflecting the state of autonomous balance and the parameters of the component composition of the body of football players.Materials and methods: We studied n = 80 football players living in the northwestern region of the Russian Federation. Group data: 16.9 ± 0.8 years; weight 73.1 ± 4.7 kg; height 181.1 ± 4.9 cm. Monitoring of heart rate variability was carried out by the hardware and software complex “Omega-Sport, St.Petersburg”. The bioelectric activity of the heart was recorded in the II standard lead from the sitting position in the morning (9:00–10:00). The assessment of the body composition of football players was carried out four times (January, April, August, November) using the Inbody 770 analyzer, Japan.Results: SI has a strong direct correlation with the indicators: “total fat content” (r = 0.994, P = 0.011); “total water content” (r = 0.811, P = 0.013). A direct strong correlation was established between SDNN and “total fat content” (r = 0.933, P = 0.009) and an inverse strong correlation with “total muscle mass” (r = -0.877, P = 0.006). pNN50 has a strong direct correlation with “total fat content” (r = 0.889, P = 0.011), in addition, there is a strong inverse correlation with “total muscle mass” (r = 0.767, P = 0.012). HF and “total fat content” (r = 0.733, P = 0.008) have a strong direct correlation; and with the indicator “total water content” of skeletal muscle mass (r = -0.874, P = 0.011) a strong inverse. A strong inverse relationship is shown between LF and “total fat content” (r = –0.766, P = 0.011), as well as a strong direct correlation with “total muscle mass” (r = 0.951, P = 0.013), “total water content” (r = 0.917, P = 0.008).Conclusions: There is a close correlation of the indicators “total muscle mass”, “total fat content”, “total water content” with a limited number of HRV parameters: SI, SDNN, pNN50, HF, LF. The study showed a significant (p < 0.05) predominance of: the activity of the parasympathetic ANS department — the competitive period, in which there was a significant (p < 0.05) increase in “total muscle mass”, a decrease in “total fat content” in the 1st, 2nd and 3rd diagnostics; the activity of the sympathetic ANS department — the recovery period, which significantly (p < 0.05) affected: a decrease in “total muscle mass”, “total water content”; an increase in “total fat content” in the 4th diagnosis.