Reference no: EM132370425
FEASUBILITY OF SPECTRAL ANALYSIS AS A TOLL IN NURSING RESEARCH TO QUALIFY PATTERNS OF RESPIRATION IN PREMATURE INFANTS
Infants born at <1500g,have 100 times the risk of dying in the first year of life compared to full-term counterparts.
Breathing difficulties are some of the most common concerns in this population and can lead to long-term health problems. Use of a spectral analysis to quantify breathing patterns in premature infants has the potential to further the utilization of research findings by overcoming both reliability and validity issues encountered with direct observation.
18 premature infants born during 27th to 28th gestational week (weighing < 1500 g) participated in this descriptive study. Sampling was by convenience and enrolled in a larger study in which a recording of their mother’s voice was played back to them from 28 to 34 weeks post-menstrual age (PMA).
The respiratory pattern (regular or irregular; shallow or deep) was directly observed during the baseline test session completed at 28 weeks with >95% interrater reliability. Heart rate variability was measured during playback of the recording using spectral analysis from which the mean values for parasympathetic tone (0.30-1.0 Hz) were compared.At 28 weeks, the parasympathetic tone displaying irregular, shallow respiration was ----------------than those infants with regular, deep respirations.
Further a shift from the lower frequencies (peak=---------) to higher frequencies (peak=-----) was shown. Compared to direct observation, a spectral analysis of HRV allows for further quantification of respiratory patterns in premature infants to the nursing scientific and practice community.Future directions include applying this tool to evaluate a pathological trend in respiratory patterns of premature infants.
Read the abstract above carefully and answer the following questions:
1. Create SPSS code to estimate the mean and the standard deviation of shallow respiration, deep respiration, group 1 and 2.
2. Fill out the abstract result in the black area.
3. Create a figure for AUC (area under the curve) for shallow and seep respiration.
4. Create a figure illustrating the difference between group 1 and group 2 at TS1 ( test session 1) in relation to shallow breathing.
5. Attached a SPSS output together with the answers.
Attachment:- DATA-RESPIRATORY HEVES.rar
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