Nursing Research Critique Essay

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Research Critique of
Adherence to Walking or Stretching, and Risk of Preeclampsia in Sedentary Pregnant Women
Ana H. Corona
Western University of Health Sciences
CGN 5306: Biostatistics and Epidemiology
August 1, 2009

Research Critique of “Adherence to Walking or Stretching, and Risk of Preeclampsia in Sedentary Pregnant Women”
This paper is to critique a study of adherence to walking or stretching during pregnancy in high risk women who were sedentary and had previously experienced preeclampsia. The introduction of this article does give a sense of the importance of the problem area. This four-year study investigates the effects of walking or stretching on the incidence of preeclampsia and
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Target population was pregnant women less than fourteen weeks gestation that had a sedentary lifestyle. The researcher used two data collection instruments to complete this study. The first is The Cornell Protocol Fitness Tool that measured cardiovascular fitness level and peak oxygen consumption. The second data collection instrument used was The Minnesota Leisure Time Physical Activity Questionnaire assessed energy expenditure and daily physical activity. Candidates were excluded if they had chronic hypertension, gestational diabetes, and any medical condition that will prohibit daily exercise, communication problems, or recommendation of primary care provider not to participate (Yeo 2009). Clinic nurses identified possible candidates and research staff members assessed their eligibility. One hundred twenty-four women were selected and randomized into two groups. A pre-generated allocation schedule with sealed envelopes was used to withhold information of future assignments from both the women and the researchers. These two groups consist of 64 women assigned to the walking group and 60 to the stretching group (Yeo, 2009). The sampling design for this study has been well planned. The study seems to be double blinded. A power analysis indicated the need for 40 subjects per group in order to provide 80% power so that it can well detect differences between the two groups. These differences were detected by using a
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