2019
DOI: 10.1007/s00391-019-01525-3
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Postural hemodynamic parameters in older persons have a seasonal dependency

Abstract: Postural hemodynamic parameters in older persons have a seasonal dependency A pilot study 146 Zeitschrift für Gerontologie und Geriatrie 2 • 2020

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Cited by 16 publications
(18 citation statements)
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“…Therefore, we recommend in future studies the measurement of baseline galanin levels – in combination with other clinical tools (e.g., questionnaire, tilt-test or Schellong-test) – to confirm galanin’s ability to predict development of presyncope in subjects. Furthermore, as falls occur during changes in posture, especially in older persons (Goswami et al, 2018, 2019; Trozic et al, 2019), our data could have clinical relevance. Galanin and adrenomedullin could act as biomarkers for predicting which older persons can potentially develop orthostatic intolerance.…”
Section: Conclusion and Further Directionsmentioning
confidence: 81%
“…Therefore, we recommend in future studies the measurement of baseline galanin levels – in combination with other clinical tools (e.g., questionnaire, tilt-test or Schellong-test) – to confirm galanin’s ability to predict development of presyncope in subjects. Furthermore, as falls occur during changes in posture, especially in older persons (Goswami et al, 2018, 2019; Trozic et al, 2019), our data could have clinical relevance. Galanin and adrenomedullin could act as biomarkers for predicting which older persons can potentially develop orthostatic intolerance.…”
Section: Conclusion and Further Directionsmentioning
confidence: 81%
“…Future studies should examine how cardio-postural interactions are influenced by varying periods of bedrest confinement in older patients. This is important as falls and fall related injuries commonly occur upon change of posture (from supine to standing or from sitting to standing position) 5,53,54 . In addition, only male participants were included in this study while women are even more prone to OI in the age ranges found in this study 6,[55][56][57][58][59] .…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…Clean data were then exported from the TFM device as .txt files into an excel sheet and transferred into the Origin software (OriginLab Corp., Northampton, USA) for further analysis via customized functions. Specific time points (10-s time epochs) were used to characterize each different phase of the rest and exercise relevant for the statistical analysis: baseline (epoch 1 = 290–300 s); stepping warm-up (epoch 2 = 290–300 s); exercise 1 (epoch 3 = last 10 s); rest (epoch 4 = 60–70 s); exercise 2 (epoch 5 = last 10 s) as described in the literature 28 , 29 ; while the post-exercise recovery data were analyzed as the mean value of each successive 30 s time-epoch during the entire 5 min of recovery, as recently proposed by Peçanha et al 8 . Regarding the HR recovery indicators, these data were calculated from the absolute difference between the peak HR (mean HR, averaged over last 10 beats during exercise) and the HR values measured at 30, 60, and 300 s of recovery 8 .…”
Section: Methodsmentioning
confidence: 99%