School of Kinesiology, The University of Western Ontario , London, ON , Canada ; Aging, Rehabilitation and Geriatric Care Research Centre, Lawson Health Research Institute , London, ON , Canada.
Front Endocrinol (Lausanne). 2013 Sep 19;4:121. doi: 10.3389/fendo.2013.00121. eCollection 2013.
This study tested the hypothesis that an 8-week exercise intervention supported by mobile health (mHealth) technology would improve metabolic syndrome (MetS) risk factors and heart rate variability (HRV) in a population with MetS risk factors. Participants (n = 12; three male; aged 56.9 ± 7.0 years) reported to the laboratory for assessment of MetS risk factors and fitness (VO2max) at baseline (V 0) and after 8-weeks (V 2) of intervention. Participants received an individualized exercise prescription and a mHealth technology kit for remote monitoring of blood pressure (BP), blood glucose, physical activity, and body weight via smartphone. Participants underwent 24-h ambulatory monitoring of R-R intervals following V 0 and V 2. Low and high frequency powers of HRV were assessed from the recording and the ratio of low-to-high frequency powers and low and high frequency powers in normalized units were calculated. One-way repeated measures analysis of variance showed that waist circumference (V 0: 113.1 ± 11.0 cm, V 2: 108.1 ± 14.7 cm; p = 0.004) and diastolic BP (V 0: 81 ± 6 mmHg, V 2: 76 ± 11 mmHg; p = 0.04) were reduced and VO2max increased (V 0: 31.3 ml/kg/min, V 2: 34.8 ml/kg/min; p = 0.02) with no changes in other MetS risk factors. Low and high frequency powers in normalized units were reduced (V 0: 75.5 ± 12.0, V 2: 72.0 ± 12.1; p = 0.03) and increased (V 0: 24.5 ± 12.0, V 2: 28.0 ± 12.1; p = 0.03), respectively, with no other changes in HRV. Over the intervention period, changes in systolic BP were correlated negatively with the changes in R-R interval (r = -0.600; p = 0.04) and positively with the changes in heart rate (r = 0.611; p = 0.03), with no other associations between MetS risk factors and HRV parameters. Thus, this 8-week mHealth supported exercise intervention improved MetS risk factors and HRV parameters, but only changes in systolic BP were associated with improved autonomic function.
这项研究检验了以下假设，即 8 周的运动干预措施，并辅以移动健康（mHealth）技术，将改善具有代谢综合征（MetS）风险因素的人群的代谢综合征风险因素和心率变异性（HRV）。参与者（n=12；3 名男性；年龄 56.9±7.0 岁）在基线（V0）和干预 8 周后（V2）到实验室进行代谢综合征风险因素和健康状况（最大摄氧量，VO2max）评估。参与者收到个性化的运动处方和 mHealth 技术套件，用于通过智能手机远程监测血压（BP）、血糖、身体活动和体重。参与者在 V0 和 V2 后进行 24 小时动态 R-R 间隔监测。从记录中评估 HRV 的低频和高频功率，并计算低频到高频功率的比值以及归一化单位中的低频和高频功率。单向重复测量方差分析显示，腰围（V0：113.1±11.0cm，V2：108.1±14.7cm；p=0.004）和舒张压（V0：81±6mmHg，V2：76±11mmHg；p=0.04）降低，VO2max 增加（V0：31.3ml/kg/min，V2：34.8ml/kg/min；p=0.02），而其他代谢综合征风险因素没有变化。归一化单位中的低频和高频功率降低（V0：75.5±12.0，V2：72.0±12.1；p=0.03）和增加（V0：24.5±12.0，V2：28.0±12.1；p=0.03），而 HRV 没有其他变化。在干预期间，收缩压的变化与 R-R 间隔的变化呈负相关（r=-0.600；p=0.04），与心率的变化呈正相关（r=0.611；p=0.03），而代谢综合征风险因素与 HRV 参数之间没有其他关联。因此，这项为期 8 周的 mHealth 支持的运动干预措施改善了代谢综合征风险因素和 HRV 参数，但只有收缩压的变化与自主功能的改善相关。
