Crain_Kayla_Research_Paper
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NC BIRTHS RESEARCH REPORT DATA SET
By
KAYLA CRAIN
STAT 535
INDIANA WESLEYAN UNIVERSITY
DECEMBER 2023
NC BIRTHS RESEARCH REPORT DATA SET
1
Contents
PROJECT BACKGROUND
...........................................................................................................
2
Purpose of the Study
....................................................................................................................
2
Context of the Problem, Challenge Opportunity or Issue
........................................................
2
Objectives of the Study
............................................................................................................
2
Limitations of the Study
..........................................................................................................
2
Assumptions of the Study
........................................................................................................
3
Significance of the Study
.............................................................................................................
4
What are the goals of the Study
...............................................................................................
4
Significance of the Topic to the Writer
....................................................................................
4
Significance of the Topic to Stakeholders
...............................................................................
4
Broader Implications of the Topic
...........................................................................................
5
INFORMATION and LITERATURE REVIEW
.............................................................................
5
Brief Summary of the Literature on the Subject
..........................................................................
5
Systematic Review of the Literature
............................................................................................
6
Descriptive Statistics
...................................................................................................................
7
Descriptive Graphs
....................................................................................................................
10
PROJECT ANALYSIS
..................................................................................................................
18
Analysis of the Literature Review Research Findings
..............................................................
18
Simple Linear Regression Analysis
.......................................................................................
18
Single Sample Hypothesis Test of the Mean
.........................................................................
18
Chi-Square Analysis
..............................................................................................................
18
PROJECT SUMMARY
.................................................................................................................
20
Conclusions
................................................................................................................................
20
Specific Recommendations
.......................................................................................................
20
Suggestions for Future Research
...............................................................................................
20
References
......................................................................................................................................
21
Appendices
....................................................................................................................................
24
Appendix A: Data Set
................................................................................................................
24
Appendix B: Pictures of Analysis
..............................................................................................
25
NC BIRTHS RESEARCH REPORT DATA SET
2
PROJECT BACKGROUND
Purpose of the Study
Context of the Problem, Challenge Opportunity or Issue
The birth weight of a baby is the first weight recorded shortly after birth, usually within a
few hours, before any significant weight loss occurs. The World Health Organization (WHO)
defines low birth weight (LBW) as a birth weight less than 2500 g (or 2499 g and below). This
LBW definition has been in existence for many years (Cutland, 2017, Para 2). In pounds, 2500
grams is equivalent to 5.51 pounds, and 2499 grams is equal to 5.50 pounds. There is a
worldwide issue regarding education on low birth weight, and it is crucial that we dedicate time
to researching and analyzing the low birth weight rate problem.
Objectives of the Study
In this research paper, the aim is to provide information about the challenges and context
surrounding a study conducted in 2004, which found that 11% of births were low-birth-weight. It
is important to note that preterm birth and being small for gestational age are significant factors
contributing to low birth weight, and they also indirectly lead to neonatal deaths. In fact, low
birth weight accounts for 60% to 80% of all neonatal deaths. The global prevalence of low birth
weight is estimated to be 15.5%, which means approximately 20 million infants are born with
low birth weight annually, with 96.5% of these cases occurring in developing countries (World
Health Organization, 2018, Para 3). Consequently, the objective of this study is to analyze
strategies for preventing the occurrence of low birth weight babies, aiming to ultimately reduce
the global rate of low birth weight.
Limitations of the Study
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The limitations of this study consist of a small sample size, with only 1000 people
included. Additionally, the length of time the study took place is a limiting factor, as it was
completed within a year. This limited timeframe restricts the ability to study factors such as
economic stress, as it was conducted in 2004, before the financial crisis of 2009.
Stressful events have been suggested as potential contributors to preterm birth and low birth
weight. However, this study does not provide information on whether a financial crisis caused
low birth weight due to stress (Eiriksdottir, 2013, Para 1). Furthermore, the study lacks
information on whether the mothers had chronic health conditions that could lead to low birth
weight, such as high blood pressure, diabetes, and heart, lung, or kidney problems (March of
Dimes, 2020, Para 7).
The study also does not contain information on the relationship status of unmarried mothers,
whether they are in a committed relationship or underwent pregnancy alone. Additionally, the
study does not address whether prenatal vitamins could be a cause of low birth weight. Another
limitation is the lack of information on whether a lack of doctors offering prenatal care could
cause distress for both the mother and the baby.
Assumptions of the Study
The study assumes that the factors collected in 2004, such as age, lack of maternal care, being a
single mother, etc., are the causes of low birth weight. Additionally, it assumes that the accuracy of this
information is correct. The presence of gaps in the data is attributed to privacy concerns.
NC BIRTHS RESEARCH REPORT DATA SET
4
Significance of the Study
What are the goals of the Study
The aims of this study are to examine the collected data to gain understanding on
strategies for avoiding low birth weight (LBW). The factors considered include age, duration of
pregnancy, frequency of doctor visits, marital status, weight gain, correlation between baby's
weight and gender, maternal smoking, and race. Conducting the analysis will foster meaningful
connections and offer valuable insights aimed at preventing LBW infants in the United States
and other nations.
Significance of the Topic to the Writer
This writer holds personal importance in offering valuable insights that assist co-workers,
friends, family, and loved ones in ensuring the birth of healthy babies. Being able to provide
concrete evidence through specific actions is a crucial aspect for this writer.
Significance of the Topic to Stakeholders
Health organizations could benefit from offering improved scholarships for education, as
this would help address the significance of providing proper healthcare for pregnant women to
the stakeholders. By recruiting medical students to specialize as OB-GYNs, more newly trained
obstetrician-gynecologists (OB-GYNs) would be available to provide care for individuals in
need and open practices in underserved areas. This is particularly important considering that half
of U.S. counties lack a single OB-GYN, putting the lives of many women at risk who require
essential care. The American College of Obstetricians and Gynecologists (ACOG) highlighted in
a 2017 report that these areas house more than 10 million women who may require OB-GYNs
for primary care (Marsa, 2018, Para 4).
NC BIRTHS RESEARCH REPORT DATA SET
5
Broader Implications of the Topic
Industry implications.
The healthcare sector plays a crucial role in offering assistance to women and infants who
require care. Bringing new healthcare facilities to areas with limited access to care can be
beneficial. It not only proves advantageous for healthcare providers but also for the local
communities. When residents feel secure with their immediate healthcare options, they are more
likely to stay and not relocate elsewhere.
Global implications.
If we fail to continue providing essential data globally, the consequences could include an
increase in the number of low weight births. The writer's objective is to highlight various factors
and research that can contribute to solutions worldwide. Despite significant differences in
insurance systems across countries, low birth rates remain a problem in many regions. By raising
awareness about this issue, more countries will be motivated to conduct research and offer
necessary care solutions.
INFORMATION and LITERATURE REVIEW
Brief Summary of the Literature on the Subject
March of Dimes leads the effort to promote the well-being of all mothers and infants. We
firmly believe that every newborn deserves the best possible beginning. However, not all infants
have such an opportunity. We are determined to change this reality. Over the course of 80 years,
March of Dimes has assisted countless infants in not only surviving but also thriving. Today, we
are expanding upon this long-standing commitment to ensure fairness for all mothers and infants,
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irrespective of age, socioeconomic status, or demographic background. We provide unwavering
support to expectant mothers throughout their pregnancy, especially in situations where things
might not go as planned. We advocate for policies that prioritize the health of these mothers,
while also seeking to enhance the quality of care they receive. Furthermore, we undertake
innovative research aimed at finding remedies to the most significant health risks faced by both
mothers and infants. Through our research, we focus on areas such as low birth weight, treatable
health conditions, the importance of prenatal care, and the significance of choosing the right
healthcare practitioner. We also strive to educate mothers on ways to mitigate the risk of low
birth weight.
Systematic Review of the Literature
Summary and Relevance of the Literature to the problem or questions
In 2004, a study was conducted on a random sample of 1,000 births in North Carolina to
analyze the behaviors and practices of expecting mothers and their children. Among these births,
111 infants were found to have low birth weight. This paper aims to investigate the factors
contributing to low birth weight, including the ages of the parents, the gestation period, whether
the baby was born full-term or prematurely, the parents' marital status, the mother's weight gain,
the baby's weight, the baby's gender, the mother's habits, and the mother's race.
Thematic Findings in Literature as Applied to the Topic
The Neonatal Intensive Care Unit (NICU) receives a distressing number of low birth
weight babies who must stay there until they reach a healthy weight, with a significant number
not surviving. For those who do survive, their journey to recovery and going home involves
NC BIRTHS RESEARCH REPORT DATA SET
7
gaining the necessary weight. This unfortunate situation deprives both the parent and baby of
crucial bonding opportunities. However, there is hope as thorough research into the causes of
low birth weight can prevent a substantial proportion of these cases.
Key Definitions.
Low Birth Weight (LBW) refers to the condition where a newborn weighs less than 5
pounds and 8 ounces at birth. Numerous regions globally suffer from a shortage of obstetrician-
gynecologist (OB-GYN) experts. The Neonatal Intensive Care Unit (NICU) serves as a
temporary residence for many infants until they reach a healthy birth weight to be discharged.
Additionally, the data segment will analyze the subsequent terms:
Maturity – The mother's age during childbirth.
Habit - The maternal classification as a non-smoker or smoker.
Ethical Consideration from the Literature Review.
Start here
Descriptive Statistics
Type of Variables in the Data Set.
Table 1: Variable list
Variable
Variable Type
Low Birth Weight
Numerical, Continuous, Ratio Scale
Mother’s Maturity Status
Categorical, Ordinal Scale
Father’s Age
Numerical, Discrete, Ratio Scale
Length of Pregnancy
Numerical, Discrete, Ratio Scale
Doctor Visits
Numerical, Discrete, Ratio Scale
NC BIRTHS RESEARCH REPORT DATA SET
8
Weight Gain
Numerical, Continuous, Ratio Scale
Martial Status
Categorical, Nominal Scale
Sex of Baby
Categorical, Nominal Scale
Habits
Categorical, Nominal Scale
White Mom
Categorical, Nominal Scale
This section will analyze the following questions:
What factors have caused low birth weight in this study?
Does the maturity rate affect low birth weight?
Does the father's age affect low birth weight?
Does the length of gestation cause a low birth rate?
The amount of doctor care or lack thereof affects the low birth rate?
Is the mother's weight gain a factor in the low birth rate?
Does marital status affect a low birth rate?
Is a particular baby's gender affect a low birth rate?
If the mother is a smoker, does that affect the birth rate?
Did the fact the mother was white or not affect the low birth rate?
The following data highlights some of the variables examined in the 2004 North Carolina
Study, including the percentage of low birth rates (111 out of 1000), maternal age, medical care
received, duration of pregnancy among participants, and maternal weight gain during pregnancy.
Table 2: Descriptive statistics
Variable
Mean
Median
Standard Deviation
Low Weight Births
4.03
4.56
1.37
Mother’s Age
30.31
30
7.85
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NC BIRTHS RESEARCH REPORT DATA SET
9
Doctor’s Visit
10.8
10
4.82
Weeks in Gestation
33.43
34
4.68
Mother’s Weight
Gained
26.08
25
14.34
Table 2 illustrates that the LBW standard deviation is 1.37, indicating the variability in
low birth weight among the participants. Additionally, the median age of the mothers in the study
is 30, suggesting that half of the mothers were younger than 30 and the other half were older.
Furthermore, the mean number of doctor's visits during pregnancy is 10.8, which suggests that
the average number of visits for the mothers in this study was 10.8. This emphasizes the
importance of receiving prenatal care, as it is crucial in preventing low birth weight and birth
complications.
According to Tustison (2018, Para 8), babies born to mothers who do not receive prenatal care
are three times more likely to have a low birth weight and experience complications during birth.
Therefore, it is imperative and strongly recommended for expectant mothers to seek prenatal care
to reduce the chances of these issues.
The study also reveals that the mean gestational age is 33.43 weeks. Babies born between 33 and
34 weeks of gestation are considered premature and may require an extended stay in the
Neonatal Intensive Care Unit (NICU). This is because their respiratory system is not fully
developed until the final weeks of pregnancy, and their immune health is still compromised as
antibodies begin to pass from the mother to the baby (Bird, 2020, Para 29 & 30).
NC BIRTHS RESEARCH REPORT DATA SET
10
Furthermore, the standard deviation for maternal weight gain is found to be 14.34. It is important
to note that there is no defined "healthy" weight gain number during pregnancy. Each
individual's needs may vary, and other factors must be taken into consideration. Although
statistical data on how much weight a mother should gain during pregnancy is lacking, this
section will analyze the available data and explain why the birth rate in North Carolina was 11%
in 2004.
Descriptive Graphs
Figure 1.
Total Births
Low Birth Weight
1,000
111
Figure 1 illustrates the comparison between total births and instances of low birth weight.
Despite the modest sample size, it was found that 11% of all births had a lower than average
NC BIRTHS RESEARCH REPORT DATA SET
11
birth weight. The study involved a randomly selected group of 1000 individuals who gave birth,
and out of these, 111 babies were born with a low birth weight.
Figure 2.
Low Birth Weight
Younger Mom
Mature Mom
111
93
18
Based on Figure 2, there is a clear relationship between the age of the mother and the
occurrence of low birth weight. The graph demonstrates that 83.8% of low weight babies were
born to young mothers. Specifically, mothers aged 34 and younger accounted for the majority of
low weight babies, with 93 out of 111 cases. In contrast, mature mothers aged 35 and over had
only 18 out of 111 low weight babies. Evidently, these findings indicate a significant association
between the age of the mother and the weight of the baby.
Figure 3.
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Low Birth Weight
Young Father
Mature Father
111
93
18
Based on Figure 3, it can be observed that the age of the fathers corresponds with the
information provided in Figure 2. The majority of low weight babies, specifically 93 out of 111,
were born to younger fathers aged 34 and below. In contrast, mature fathers aged 35 and above
only had 18 out of 111 low weight babies. The writer of this statement chose not to mention the
exact ages of the fathers in Figure 3 in order to ensure an accurate comparison with the mothers.
It is assumed that 30 of the mothers who took part in this study preferred not to disclose their
age, unlike the fathers who did provide their age.
Figure 4.
Study’s Average Weeks in Gestation
Weeks Considered Full Term
33
39
NC BIRTHS RESEARCH REPORT DATA SET
13
According to Figure 4, babies with a lower birth weight typically had a gestation period
of 33 weeks. It should be noted that full-term babies are typically born between 39 weeks, 0 days
and 40 weeks, 6 days (March of Dimes, 2020, Para 4). This graph clearly demonstrates a clear
connection between the length of gestation and low birth weight.
Figure 5.
Study’s Average Visits
Recommended Visits to Full Term
10
15
NC BIRTHS RESEARCH REPORT DATA SET
14
According to Figure 5, the average number of prenatal doctor's visits during pregnancy
was significantly below the recommended number, with an average of only ten visits out of the
recommended 15 visits, which accounts for about 66.6%. Research has shown that providing
consistent and high-quality medical care to pregnant women from the early stages of pregnancy
can help lower infant mortality rates and reduce the occurrence of low birth weight. This
approach allows for the timely detection and resolution of potential issues before they negatively
impact the developing fetus (Wymelenberg, 1990).
Figure 6.
Low Birth Weight
Married
Not Married
110
49
61
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The graph in Figure 6 illustrates that among the total of 111 babies with low birth weight,
a greater number of them were born to unmarried parents compared to those born to married
parents. Specifically, the graph shows that 61 out of 111 babies with low birth weight were born
to unmarried parents, whereas 49 out of 111 were born to married parents. Therefore, the graph
suggests that the likelihood of delivering a baby with low birth weight is higher for unwed
mothers.
Figure 7.
Low Birth Weight
Male
Female
111
52
59
NC BIRTHS RESEARCH REPORT DATA SET
16
Figure 7 demonstrates a relatively similar occurrence of LBW in male and female infants,
suggesting that gender might not be the determining factor behind low birth weight.
Figure 8.
Low Birth Weight
Smoker
Nonsmoker
111
18
92
NC BIRTHS RESEARCH REPORT DATA SET
17
The visual representation in Figure 8 illustrates the relationship between smoking and
low birth weight. According to the data, nonsmokers have a higher occurrence of low birth
weight babies. It can be observed from the figure that out of the 111 low weight babies, the
mothers who smoked during pregnancy had a comparatively smaller number of low weight
babies. It is worth noting that only 12.6% of the women who took part in this study reported
themselves as smokers. The limited number of participants who admitted to smoking may
introduce potential bias in the data.
Figure 9.
Low Birth Weight
White
Non White
111
68
59
According to Figure 9, out of the 111 low weight births, 61% were born to white mothers,
specifically 68 in comparison to 59 born to non-white mothers.
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PROJECT ANALYSIS
Analysis of the Literature Review Research Findings
Simple Linear Regression Analysis
[Insert which research question(s) you are answering]
[Insert a table or paragraph of any regression statistics like the regression formula and r-squared value]
[Insert simple linear regression scatterplot]
[Insert your judgment based on the analysis performed]
Single Sample Hypothesis Test of the Mean
[Insert which research question(s) you are answering]
[Insert a table or paragraph of any regression statistics like t statistic value, p-value, sample size, and level
of significance]
[Insert a picture of the analysis done in the spreadsheet]
[Insert your judgment based on the analysis performed]
Chi-Square Analysis
[Insert which research question(s) you are answering]
[Insert a table or paragraph of any chi-square statistics like the chi-square value, p-value, sample size,
and level of significance]
[Insert a picture of the contingency table in the spreadsheet]
[Insert your judgment based on the analysis performed]
NC BIRTHS RESEARCH REPORT DATA SET
19
PROJECT SUMMARY
Conclusions
[Insert any conclusions you have drawn from the research]
Specific Recommendations
[Insert any recommendations you have drawn from the research]
Suggestions for Future Research
[Insert any suggestions for future research]
NC BIRTHS RESEARCH REPORT DATA SET
20
References
Bird, C.
"Premature Babies and Complications by Week
". Retrieved on December 5, 2023 from
https://www.verywellfamily.com/premature-babies-week-by-week-2748606#:~:text=33–
34%20Weeks,a%20baby%20born%20at%20term
CFI. (2015).
"Ethical Dilemma".
Retrieved on December 5, 2020 from
https://corporatefinanceinstitute.com/resources/knowledge/other/ethical-dilemma/
Cutland CL, Lackritz EM, Mallett-Moore T, Bardaji A, Chandrasekaran R, Lahariya C, et al.
(2017).
"Low birth weight: Case definition & guidelines for data collection, analysis, and
presentation of maternal immunization safety data".
Retrieved on December 5, 2023 from
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5710991/
Eiriksdottir, V. H., Asgeirsdottir, T. L., Bjarnadottir, R. I., Kaestner, R., Cnattingius, S., &
Valdimarsdottir, U. A. (2013).
"Low Birth Weight, Small for Gestational Age and Preterm Births
before and after the Economic Collapse in Iceland: A Population Based Cohort Study".
Retrieved on December 5, 2023, from
https://journals.plos.org/plosone/article? id=10.1371/journal.pone.0080499
March of Dimes. (2020). "
LOW BIRTHWEIGHT".
Retrieved on December 5, 2023 from
https://www.marchofdimes.org/complications/low-birthweight.aspx
Marsa, L. (2018).
"Labor pains: The OB-GYN shortage
". Retrieved on December 9, 2023 from
https://www.aamc.org/news-insights/labor-pains-ob-gyn-shortage#:~:text=In%20fact
%2C%20the%20American%20College,gynecologist%20(OB%2DGYN).&text=By
%202020%2C%20there%20will%20be,to%2022%2C000%20by%20mid%2Dcentury
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World Health Organization. (2020).
"Maternal, newborn, child and adolescent health".
Retrieved
on December 4, 2023 from
https://www.who.int/teams/maternal-newborn-child-adolescent-health-and-ageing/covid-
19
Wymelenberg S. (1990).
Science and Babies: Private Decisions, Public Dilemmas.
Retrieved on
December 4, 2023 from
https://www.ncbi.nlm.nih.gov/books/NBK235274/
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Appendices
Appendix A: Data Set
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Appendix B: Pictures of Analysis
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The centers for Disease Control and Prevention, CDC, defines a healthy sleep duration to be at least seven hours per day. The CDC reports that the percentage of people who report a healthy sleep duration varies by marital status. The CDC also reports that in 2018, 67% of those who are married report a healthy sleep duration; 62% of those who have never been married report a healthy sleep duration; and 56% of those who are divorced, widowed, or separated report a healthy sleep duration. The file Sleep Habits contains sample data on the sleeping habits of people who have never been married that are consistent with the CDC’s findings. Use this data to answer the following questions.
Develop a point estimate and a 95% confidence interval for the proportion of those who have never been married who report a healthy sleep duration.
Develop a point estimate and a 95% confidence interval for the mean number of hours of sleep for those who have never been married.…
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YouTube is a popular destination on the internet; let's look at how YouTube usage is distributed among age groups. According to the Pew Internet and American Life Project, about 70% of internet users aged 18-29 have visited YouTube, along with 51% of those aged 30-49 and 26% of those 50 or older. About 30% of adult internet users are 18-29 years old, another 45% are 30-49, and the remaining 25% are 50 and over.(a) Calculate the probability that a randomly selected internet user has used YouTube.(b) If we randomly select a YouTube internet user, what is the probability they are aged 18-29?
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find population sd
12,15,18,16,19,22,23,25,28
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WAIST BMI
120.4 33.3
107.8 28.0
120.3 45.4
97.2 28.4
95.1 25.9
112.0 31.1
78.0 20.1
103.5 32.7
89.7 25.8
112.0 36.5
95.0 25.8
115.3 34.5
118.8 37.4
92.6 26.1
75.5 19.3
101.8 29.9
92.5 27.4
100.8 31.4
82.8 21.0
92.9 28.5
120.4 30.8
107.8 31.2
120.3 33.6
97.2 26.7
95.1 24.5
112.0 21.6
78.0 27.4
103.5 29.3
89.7 24.6
112.0 29.1
78.8 23.2
65.8 19.4
114.4 38.9
78.0 21.0
106.8 33.3
112.4 31.8
94.8 27.3
90.6 21.6
95.2 27.1
71.5 20.0
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Predict the lung cancer index for men who worked in an occupation in England in which the smoking index was 129.
What type of prediction did you just make? Explain
What type of prediction did you just make? Explain
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Please show your work and explain. Thanks!
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Determine whether the statement is true or false. If it is false, rewrite it as a true statement.
A population is the collection of some outcomes, responses, measurements, or counts that are of interest.
Choose the correct answer below.
A. True.
B. False. A sample is the collection of all outcomes, responses, measurements, or counts that are of interest.
C. False. A population is the collection of all outcomes, responses, measurements, or counts that are of interest.
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please help.
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Is Sc.
O Prodigy
O Join a Game-Quizi,
O YouTube
Q Timeout
C Clever | Portal
Play Kahoot! - Ente.
Netflix
O Sora
easybreezylive - Twi.
Other bookmarks
::: CALCULATORS
the table.
Original Price
Percent of Discount
Sale Price
%24
25%
$40
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