The information below was gathered from the Early Childhood Longitudinal Study-Birth
Cohort (ECLS-B) data. The present study utilized ECLS-B data which is sponsored by the U.S
Department of Education, National Center for Education Statistics (NCES). This chart displays descriptive statistics on maternal and infant characteristics stratified by maternal pre-pregnancy
BMI status and medical conditions experienced during pregnancy or labor/delivery complications. The characteristics are done in percentages broken down for normal, underweight, overweight, and obese pregnant women. It also shows the p-value, which is a probability, with a value ranging from zero to one, telling you how likely it is to get that particular characteristic.
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Cesarean deliveries were greatly associated with obese mothers. The main point of Table 4. is to show that lower percentages, when compared to characteristics being looked at, reside in those who are overweight and obese.
This information was gathered from the ECLS-B data. The present study utilized ECLS-
B data which is sponsored by the U.S Department of Education, National Center for Education
Statistics (NCES). Children participating are followed from birth, which started in 2001, until kindergarten entry. This study only used singleton births. Mothers were classified into four categories based on the Institute on Medicine Pre-pregnancy BMI criteria. The first wave of data was collected at the 9 month parent interview. Figs. 3&4. indicate patterns of breastfeeding duration by maternal pre-pregnancy BMI (normal, underweight, and overweight/obese). For women with and without medical conditions or labor/delivery complications. In the graph normal weight is indicated by slid black lines (____), overweight/obese is indicated by dash lines
(----) and underweight is indicated by dash lines with spaces in between (- - - -). The
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Similarly, among women with no medical conditions or complications, overweight/obese women stopped breastfeeding earlier than non- obese (Kitsantas).
Discussion for Experiment 2. In this study they found that overweight/obesity puts forth an independent influence on breastfeeding initiation only among mothers who experienced medical problems during pregnancy and/or had labor/delivery complications. These women were less likely to initiate breastfeeding compared to women of normal weight even after altering for a number of cofounders. Nevertheless, the overweight/obesity outcome on breastfeeding initiation was not found among mothers who did not experience medical or labor/delivery complications. This shows that overweight/obesity can negatively affect breastfeeding initiation combined with maternal health status during pregnancy or labor/delivery complications (Kitsantas).
Recommendations.
These results concluded that effective preventive methods are critically needed. It is
known that one in six women enter pregnancy already obese, but it doesn’t have to be that
This literature review will look into obesity in pregnancy and the influences its has on maternity care. The review will explore specifically health promotion including weight, dietary and exercise advice given to obese women, and will explore the challenges that come with giving weight related advice for the midwife and the women involved.
The pathophysiology of obesity is when there is a buildup of excess body fat. This excess body fat is determined by calculating a person body mass index (BMI). The BMI is calculated by an individual’s weight in kilograms divided by the square of a person’s height in metersthis allows us to come up with appropriate range of weight to an individual’s height. The body mass index is used to find out if an individual is overweight or obese. Individuals who’s BMI that have a range of 25 to 29.99 are thought to be pre- obese and overweight When an individual body mass index has surpassed 30kg this person is considered obese. As an individual’sBMI increases they become part of a different class of obesity there’s class I which is 30-34.9, class II
Answer: This is an ordinal variable because BMI is ordered from less BMI to higher BMI.
Obesity in pregnant women is a global concern. In The United States, obesity is a critical public health issue—one in every three women is obese (Masho, et al). This issue becomes crucial in the context that 36% of pregnant women in the United States are obese (Shub, et al). Studies show a strong association between maternal obesity and health risks during pregnancy and labor. In addition, a disconnect in perception and awareness exists such that most obese pregnant women who gain weight during pregnancy underestimate their Body Mass Index (BMI); and also have poor knowledge about the risk associated with obesity.
Body Mass Index is a simple scale that determines a ratio of weight in relation to height. According to Stephanie Wilson, “a Belgian
With over 22.5% of the current U.S. population considered to be clinically obese, compared to only 14.5% in 1980, there does not seem to be a cessation of this epidemic in sight (Hill & Peters, 1998). Goran and Weisners' (2000) proposal that "... the inherently lower resting metabolic rate in women versus men is responsible for the higher adiposity rates in women..." is wanting, especially since the potentially modifiable factors of; less physical strength, less daily free-living physical activity, and lower total energy expenditure are more likely the cause of the differences in observed adiposity between men and women. Since our genetic makeup has not appreciably changed in the last twenty years, we cannot strictly attribute the explosion of obesity to genetics. As these biological causes of obesity are disproved, a focus on the environment as a reason for obesity is taking centre-stage.
a) With reference to my midterm research study, I will be using the updated 2011/12 California Health Interview Survey (CHIS) for adolescents (ages 12-17). My research question is how is being overweight or obese associated with the household income by federal poverty level?
All of the articles included are cohort studies. While three of the studies were full-text articles, the study by Loersch in 2007 was an oral presentation abstract. As information on the topic is limited and this abstract adds to the body of evidence available, the abstract was included in the review. Both reviewers agreed on the included studies.
Bigger et al. (2014) conducted a cohort study, funded the National Institute of Health, of
James, W. P. (2008). The epidemiology of obesity: the size of the problem. Journal of Internal Medicine, 336-352. Retrieved from http://eds.a.ebscohost.com.library.gcu.edu:2048/ehost/pdfviewer/pdfviewer?sid=9ede2d6d-4d02-42e9-aff7-dd9b2486a3c3%40sessionmgr4004&vid=8&h
(12) Results of a recent study across different ethnicities continue to link insulin resistance to in adulthood to lower birth weight.
The research problem is that women who are anticipating becoming pregnant may lack nutritional knowledge and their weight perception; For example, women may think that their weight is normal, but are unaware that they are actually obese and lack the knowledge of what a healthy diet is. Obese women and their offspring have an increased chance of obesity and chronic diseases while pregnant (Berenson, Pohlmeier, Tabassum, Rahman, Saade, 2016). The authors’ objective is to assess women’s diet and obesity knowledge as opposed to women that are not planning on becoming pregnant.
Recent studies now suggest there is a strong link between inheritability and obesity. It was crucial to notice, that obesity is becoming a pandemic, and that obesity associated diseases cost the NHS millions. Examples of obesity associated diseases are heart disease, arthrosclerosis, and Type 2 diabetes mellitus and also breast cancer. It was useful to revise body mass
There are certain women who are more likely to have a child who is born extremely under weight. These influences can be ethnic, environmental, and genetic. Recent studies have shown that thirty to forty percent of
It does neglect to mention the impact of family dysfunction. Previous studies have been based on the presumption that poor family functioning will be connected with inadequate parenting and regulation of children’s eating and activity patterns. However, there has been no specific theory or development in mechanisms to hypothesize an explanation of the role of those facts in obesity. CDC growth charts for the United States: methods and development (Kuczmarski, Ogden, Guo 2000)