Sample Assessment For Birthweights

Discuss disparities related to ethnic and cultural groups relative to low birth weight infants and preterm births. Describe the impact of extremely low birth weight babies on the family and on the community (short-term and long-term, including economic considerations, on-going care considerations, and co-morbidities associated with prematurity). Identify at least one support service within your community for preterm infants and their family. Provide the link for your colleagues to view. Does the service adequately address needs of this population? Explain your answer.

So, we should reject the null hypothesis H0. At a 0.05 level of significance level, we conclude that there is a significant difference between the average height for females and the average height for the males.

I consider the data collected and analysis performed in this research project quite reliable.The only way I could consider age influencing the maternity length of a mother and the newboern's birth weigh would be in the case of a young gal whom's internal organs have not been entirely develop resulting in a premature baby with a lower birth weight than most average newborns. Although the ncbirths data was collected over a decade ago I do not consider it to be unreable at all for the variables of age, weeks and

The model predicts that on average, the weight of the infant at birth to be 3193.471 grams if the mother is unmarried. Also, the model predicts the baby to be on average 95 grams heavier if the mother is married. R-squared of 0.007 or 0.7% tells us that only 0.7% of the variations in birth weight can be explained by the variation in the marital status of the mother; 99.3% of the birth weight variations are due to other factors. This model does show the correlation between the mother’s marital status and child’s birth weight; however, it is impossible to say if there is a casual effect. The results are statistically significant at p<0.001 or p<0.1%: there is 0.1% chance to observe the

Describe the impact of extremely low birth weight babies on family and society (short and long term, including economic considerations, ongoing care considerations, and comorbidities associated with prematurity).

E1- Summarise the factors which may influence the health and development of babies in the first year of their lives

The first part of the analysis will examine a complex connection between physical developments of children and living circumstance, individual’s behavior, income levels, education levels of parents and access to healthcare. AS (2012) illustrates that children living in the most deprived areas take higher risks of low birth weight, respiratory problems, poor dental health and overweight than their wealthy peers.

Basco, W.J., Hletko, P., West, L., & Darden, P. (2009). Determining the proportion of children too heavy for age-appropriate car seats in practice-based research network. Clinical Pediatrics, 48(1), 37-43. doi:10.1177/00009922808321676

After revising the key terms, additional searches were made using both CINAHL and MEDLINE databases, with each article being evaluated and better search mechanisms being applied. In this search the key words preterm AND aboriginal women were used with the result being relatively successful, however there were still a number of articles that were not all applicable. I then decided to go through each article and critique how each study was conducted and what information it could provide to increase my knowledge on the factors that affect preterm birth. Additionally I also looked at which articles provided the highest level of evidence using NHMRC guidelines, as well as observing the number of people who had cited the source (National Health and Medical Research Council, 2015). Being more specific in database searches was a skill that became vital in the search process (Symmons, 2013). For example, I also chose synonyms such as, ‘neonatal outcomes’ and ‘premature pregnancy’ so articles relevant to preterm birth could be discovered. By establishing effective search terms, evaluating the reliability of the source, restricting

We conduct an independent sample t-test using Excel, and obtain the following output (see sheet T-TEST)

The main purpose of this assessment is to guarantee a healthy baby, with low risk to Angie’s health. At present Angie weigh’s 177.5 lbs. and her height is 5’5”, this puts her BMI at 30 she is classified as being obese (Grosvenor & Smolin, 2015, p. 292). She is currently experiencing some complications at this stage in her pregnancy. Additionally she desires to keep her weight in line with the recommended weight gain guidelines for pregnant women which are about 11-20 lbs., during her entire nine months of pregnancy (Grosvenor & Smolin, 2015, p. 369).

Compared with children with birth weights of 3,500 – 3,999g, children in all birth weight categories less than 3,000g were more likely to have one or more developmental disabilities (3.4% – 1.2% vs 1.1%). Children in all birth weight categories less than 2,500g were more likely to have three or more DDs (2.6% – 6.5% vs 1.2%). In evaluating specific

The dataset used in doing the final Unit 8 complete section is Low Birthweights. There are numerous scholarly articles written regarding this issue. The data file contains at least 190 samples. I am curious to know if there is a correlation between all the variables. Articles in addition to the media state extensive research on relating low birth weights to smoking as well as the age of the mother. Nevertheless, I have never completed a serious research paper to either accept or reject the null hypothesis. For example, before taking this class, I would not question our Financial Controller information or charts upon reporting our monthly financials for our company. Now, after learning and working statistic problems. I frequently ask him for

The World health organization (WHO) defined low birth weight (LBW) as weight at birth of less than 2,500 grams. This practical cut-off for international comparison is based on epidemiological observations that infants weighing less than 2,500 grams are approximately 20 times more likely to die than heavier babies [1]. The prevalence of LBW in any population reflects its socio-economic development and it is a good proxy to gauge the developmental status of the country [2]. Low birth weight is associated with many socioeconomic factors such as residence (urban-rural difference), mother’s age and occupation, birth order, the family’s income and many maternal conditions such as nutritional status, mother’s educational and health status [3].

Each question is worth 1 mark - and there are 20 questions in total. Answers should be clear and legible. Note Instruction (d) on the Questions: “when performing statistical tests, to always state the null and alternative hypotheses, the test statistic and it’s distribution under the null hypothesis, the level of significance and the conclusion of the test.” Marks are not awarded when this instruction is not followed.