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        "resumen" => "Introduction and background&#58; In sports medicine&#44; heart rate variability &#40;HRV&#41; analysis is used to assess adaptation to athletes&#39; training&#46; Our goal was to validate HRV analysis as a health indicator by comparing HRV parameters with Short Form-12 Health Survey Questionnaire &#40;SF-12&#41; scores in a sample of healthy individuals&#46; Methods&#58; We performed an experimental study in 32 healthy individuals &#40;18 men and 14 women&#41; with a mean age of 26&#46;19 years&#46; The SF-12 questionnaire was used to evaluate quality of life and a S810i Polar heart rate monitor was used to recode HRV through the R-R interval&#46; HRV parameters were obtained with Polar Precision Performance software&#46; Results&#58; The root mean square of the differences between adjacent R-R intervals in milliseconds &#40;RMSSD&#41;&#44; the percentage of the adjacent R-R intervals differing by more than 50 milliseconds in the entire recording &#40;pNN50&#41; and the high frequency &#40;HF&#41; parameters of HRV showed a significant and positive correlation with the perceived physical health scores obtained in the physical component summary scale&#44; the role-physical dimension and the total scale of the SF-12 questionnaire&#46; Participants with greater perceived health showed the highest HRV&#46; Higher parasympathetic activation at rest was related to greater health-related quality of life&#46; Conclusions&#58; Our results confirm that HRV analysis is a good marker of health status and could be used to diagnose stress states &#40;overtraining&#44; burnout&#44; fatigue&#44; exhaustion&#44; anxiety&#41; quickly and easily &#40;at rest and non-invasively&#41;&#44; both in the general population and&#44; in particular&#44; in elite athletes&#46;"
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