Federal University of São Paulo, São Paulo, Brazil.
BMC Musculoskelet Disord. 2010 Mar 22;11:54. doi: 10.1186/1471-2474-11-54.
It has not been assessed before whether mathematical models described in the literature for prescriptions of exercise can be used for fibromyalgia syndrome patients. The objective of this paper was to determine how age-predicted heart rate formulas can be used with fibromyalgia syndrome populations as well as to find out which mathematical models are more accurate to control exercise intensity.
A total of 60 women aged 18-65 years with fibromyalgia syndrome were included; 32 were randomized to walking training at anaerobic threshold. Age-predicted formulas to maximum heart rate ("220 minus age" and "208 minus 0.7 x age") were correlated with achieved maximum heart rate (HRMax) obtained by spiroergometry. Subsequently, six mathematical models using heart rate reserve (HRR) and age-predicted HRMax formulas were studied to estimate the intensity level of exercise training corresponding to heart rate at anaerobic threshold (HRAT) obtained by spiroergometry. Linear and nonlinear regression models were used for correlations and residues analysis for the adequacy of the models.
Age-predicted HRMax and HRAT formulas had a good correlation with achieved heart rate obtained in spiroergometry (r = 0.642; p < 0.05). For exercise prescription in the anaerobic threshold intensity, the percentages were 52.2-60.6% HRR and 75.5-80.9% HRMax. Formulas using HRR and the achieved HRMax showed better correlation. Furthermore, the percentages of HRMax and HRR were significantly higher for the trained individuals (p < 0.05).
Age-predicted formulas can be used for estimating HRMax and for exercise prescriptions in women with fibromyalgia syndrome. Karnoven's formula using heart rate achieved in ergometric test showed a better correlation. For the prescription of exercises in the threshold intensity, 52% to 60% HRR or 75% to 80% HRMax must be used in sedentary women with fibromyalgia syndrome and these values are higher and must be corrected for trained patients.
目前尚未评估文献中描述的用于开运动处方的数学模型是否可用于纤维肌痛综合征患者。本文旨在确定年龄预测心率公式如何用于纤维肌痛综合征人群，并找出更准确的控制运动强度的数学模型。
共纳入 60 名年龄在 18-65 岁之间的纤维肌痛综合征女性患者；32 名患者被随机分配到无氧阈步行训练组。将最大心率的年龄预测公式（“220 减去年龄”和“208 减去 0.7 x 年龄”）与运动心肺功能测试得出的最大心率（HRMax）进行相关性分析。随后，使用 6 个基于心率储备（HRR）和年龄预测 HRMax 公式的数学模型，研究估计与运动心肺功能测试得出的无氧阈心率（HRAT）相对应的运动训练强度水平。线性和非线性回归模型用于相关性和残差分析，以评估模型的适用性。
年龄预测的 HRMax 和 HRAT 公式与运动心肺功能测试得出的实际心率有良好的相关性（r = 0.642；p < 0.05）。对于无氧阈强度的运动处方，HRR 的百分比为 52.2-60.6%，HRMax 的百分比为 75.5-80.9%。使用 HRR 和实际 HRMax 的公式相关性更好。此外，对于训练个体，HRMax 和 HRR 的百分比明显更高（p < 0.05）。
年龄预测公式可用于估计 HRMax 和纤维肌痛综合征女性的运动处方。使用运动心肺功能测试中获得的心率的 Karnoven 公式相关性更好。对于在阈值强度下进行运动处方，久坐的纤维肌痛综合征女性应使用 52%-60% HRR 或 75%-80% HRMax，对于训练患者，这些值更高，需要进行校正。
