Summary
This study examines the behavioral and psychological correlates of gestational weight gain patterns. Recommendations for optimal gestational eight gain are based on the pre-pregnancy or baseline body mass indexes. Weight gain significantly below or above the recommendations for one’s BMI can lead to adverse outcomes including low birth weight, increased risk for caesarean delivery, and even childhood obesity. Based on prior literature showing that a multitude of variables may impact gestational weight gain, this study illustrates some of the psychological variables that may be implicated. The authors use a biopsychosocial model, which takes multiple issues into account including biological factors, psychosocial factors, and also health-related behaviors like sleep patterns, nutrition and eating behaviors, and physical activity. The primary research question is which factors have the strongest bearing on gestational weight gain patterns, with the goal of optimizing prenatal care.
Methodology
The researchers rely on an exploratory question and use a prospective cohort multifactorial research design. The dependent variable was gestational weight gain, measured in two ways. The first was a simplistic method of subtracting self-reported pre-pregnancy weight from last measured weight before delivery, and the second was to compare total weight gain with the recommendations of the Institute of Medicine. The authors classified the dependent variable as being either inadequate or excessive.
Independent variables included biological, psychological, and...
References
Heery, E., Kelleher, C.C., Wall, P.G., et al. (2014). Prediction of gestational weight gain. Public Health Nutrition 18(8): 1488-1498.
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The chapters outlined the significance of the study, the intended objectives, the hypotheses statements, justification of the study, the research design, and the findings and conclusions. The examination carried out within the sections of this paper will be important for bridging the gap of knowledge on the use of UB-PAP in the diagnosis of obesity among obese pregnant mothers. It will be particularly helpful in informing the patients and
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