During pregnancy, there are
various physiological changes that occur in a woman's body, including changes
in blood volume. One commonly measured parameter to assess the blood's
oxygen-carrying capacity is the Packed Cell Volume (PCV), also known as hematocrit.
PCV represents the percentage of red blood cells in a given volume of whole
blood. This study aims to investigate the effect of pregnancy on packed cell
volume (PCV) among pregnant women attending antenatal clinics at Kwara State
Specialist Hospital, Sobi and Cottage Hospital Adewole Ilorin, Kwara State,
Nigeria. The effect of pregnancy on PCV levels has been studied extensively.
Normally, PCV tends to decrease slightly during pregnancy due to an expansion
in blood volume that is proportionally greater than the increase in red blood
cell mass. This dilution effect causes a relative decrease in PCV values.
However, it is important to note that the exact changes in PCV can vary among
individuals and may be influenced by factors such as maternal age, nutritional
status, and the presence of any underlying health conditions. Pregnancy-induced
physiological changes often impact the haematological profile of women, and
assessing PCV levels is crucial in determining the prevalence of anaemia during
pregnancy. Understanding these changes can aid in the development of effective
interventions to improve maternal health. The study will provide valuable
insights into the prevalence of anaemia and its relationship with PCV levels
during pregnancy in Nigeria. A descriptive cross-sectional study was conducted
in antenatal clinics in the two hospitals. A total of 237 pregnant women were
included in the study. Women in their third trimester had low PCV of 49
(53.26%) and normal PCV 85 (53.3%). They also had the highest prevalence of a
very low PCV 5 (55.56%). This is likely due to the increase in blood volume and
the decreased production of red blood cells. The decrease in PCV can be a sign
of anemia, which is a common complication of pregnancy. Therefore, it is
important to monitor PCV levels in pregnant women and to provide treatment for
anemia if necessary.
TABLE OF CONTENTS
TITLE PAGE................
.................................................................................
i
DECLARATION. ii
CERTIFICATION. ii
DEDICATION. iii
ACKNOWLEDGEMENTS. v
ABSTRACT. v
TABLE OF CONTENTS
CHAPTER ONE
INTRODUCTION
1.1
BACKGROUND TO THE STUDY
................................................................... 1
1.2
STATEMENT OF THE PROBLEM ..................................................................
4
1.3
OBJECTIVES OF THE STUDY
..................................................................... 6
1.4
RESEARCH QUESTIONS
........................................................................... 6
1.5
RESEARCH HYPOTHESES
......................................................................... 7
1.6
SIGNIFICANCE OF THE STUDY
................................................................... 9
1.7
SCOPE AND LIMITATIONS OF THE STUDY
..................................................... 10
1.8 DEFINITION OF TERMS
..........................................................................12
CHAPTER TWO
REVIEW OF RELATED
LITERATURE
2.1
INTRODUCTION...
...............................................................................
15
2.2
CONCEPTUAL REVIEW
........................................................................... 15
2.3
THEORETICAL REVIEW
.......................................................................... 17
2.4
EMPIRICAL REVIEW
..............................................................................
25
2.5
GAP ANALYSIS....
................................................................................
26
CHAPTER THREE
RESEARCH METHODOLOGY
3.1
INTRODUCTION...
...............................................................................
29
3.2
STUDY LOCATION
................................................................................
29
3.3
RESEARCH DESIGN
...............................................................................
30
3.4
POPULATION OF THE STUDY
................................................................... 31
3.5
SAMPLE SIZE AND SAMPLING TECHNIQUES
................................................... 32
3.6
INSTRUMENTS USED
.............................................................................
33
3.7
CONSENT AND ETHICAL CLEARANCE
.......................................................... 34
3.8
METHODS OF DATA ANALYSIS
.................................................................. 35
3.9 SOURCES OF DATA COLLECTION
...............................................................35
3.10 METHODS OF DATA COLLECTION
.............................................................. 35
CHAPTER FOUR
DATA PRESENTATION,
ANALYSIS AND INTERPRETATION
4.1
INTRODUCTION...
...............................................................................
37
4.2
PRESENTATION OF DATA
....................................................................... 37
4.3
DATA ANALYSIS TO RESEARCH QUESTIONS
.................................................. 40
4.4
DATA ANALYSIS TO HYPOTHESES TESTING
................................................... 46
4.5
DISCUSSION OF RESULTS
........................................................................ 58
CHAPTER FIVE
SUMMARY, CONCLUSION
AND RECOMMENDATION
5.1
INTRODUCTION...
...............................................................................
69
5.2
SUMMARY OF FINDINGS .........................................................................
69
5.3
CONCLUSION......
...............................................................................
70
5.4
RECOMMENDATIONS
.............................................................................
71
5.5
CONTRIBUTION TO KNOWLEDGE
.............................................................. 72
5.6
SUGGESTIONS FOR FURTHER STUDIES
........................................................ 73
REFERENCES...............
..............................................................................76
LIST OF TABLES
TABLE 4.1
|
SOCIO-DEMOGRAPHIC VARIABLES OF PREGNANT WOMEN
........................ 37
|
TABLE 4.2
|
PACKED CELL VOLUME (PCV) LEVELS AMONG PREGNANT WOMEN
ATTENDING
ANTENATAL CLINICS
.................................................................... 40
|
TABLE 4.3
|
EFFECT OF MATERNAL AGE ON
PCV LEVEL AMONG PREGNANT WOMEN
ATTENDING ANTENATAL CLINICS
...................................................... 41
|
TABLE 4.4
|
EFFECT OF GESTATIONAL AGE
(WEEKS) ON PCV LEVEL AMONG PREGNANT
WOMEN ATTENDING ANTENATAL CLINICS
........................................... 43
|
Table 4.5
|
EFFECT OF PARITY ON PCV
LEVEL AMONG PREGNANT WOMEN ATTENDING
ANTENATAL CLINICS
.................................................................... 44
|
TABLE 4.6
|
EFFECT OF NUTRITIONAL
STATUS ON PCV LEVEL AMONG PREGNANT WOMEN
ATTENDING
ANTENATAL CLINICS
..................................................... 45
|
TABLE 4.7
|
CHI SQUARE FOR PCV LEVELS
AMONG PREGNANT WOMEN ATTENDING
ANTENATAL CLINICS
.................................................................... 47
|
TABLE 4.8
|
CHI SQUARE FOR PCV LEVELS AND MATERNAL AGE AMONG
PREGNANT WOMEN
ATTENDING ANTENATAL CLINICS ......................................................
49
|
TABLE 4.9
|
CHI SQUARE FOR PCV LEVELS AND GESTATIONAL AGE AMONG
PREGNANT
WOMEN ATTENDING ANTENATAL CLINICS
........................................... 52
|
TABLE 4.10
|
CHI
SQUARE FOR PCV LEVELS AND PARITY AMONG PREGNANT WOMEN
|
ATTENDING
ANTENATAL CLINICS ......................................................54
TABLE 4.11 CHI SQUARE FOR PCV LEVELS AND
NUTRITIONAL STATUS AMONG PREGNANT
WOMEN
ATTENDING ANTENATAL CLINICS ........................................... 56
LIST OF FIGURES
FIGURE 4.1
|
PACKED CELL VOLUME (PCV)
LEVELS AMONG PREGNANT WOMEN ATTENDING
ANTENATAL CLINICS
.................................................................... 41
|
FIGURE 4.2
|
EFFECT OF MATERNAL AGE ON
PCV LEVEL AMONG PREGNANT WOMEN
ATTENDING ANTENATAL CLINICS ......................................................
42
|
FIGURE 4.3
|
EFFECT OF GESTATIONAL AGE
(WEEKS) ON PCV LEVEL AMONG PREGNANT
WOMEN ATTENDING ANTENATAL CLINICS
........................................... 43
|
FIGURE 4.4
|
EFFECT OF PARITY ON PCV
LEVEL AMONG PREGNANT WOMEN ATTENDING
ANTENATAL CLINICS
.................................................................... 45
|
FIGURE 4.5
|
EFFECT
OF NUTRITIONAL STATUS ON PCV LEVEL AMONG PREGNANT WOMEN
|
ATTENDING ANTENATAL CLINICS
..................................................... 46
LIST OF APPENDICES
APPENDIX I PROPOSAL, ROADMAP OR PLAN FOR RESEARCH
DISERTATION.................. 81
APPENDIX II QUESTIONNAIRE
........................................................................ 89
APPENDIX III CHI-SQUARE DISTRIBUTION
TABLE ................................................... 93
CHAPTER ONE
INTRODUCTION
1.1 BACKGROUND TO THE STUDY
Pregnancy is a critical period in a woman's life that
involves numerous physiological changes, including alterations in the
hematological profile. This period is a unique physiological state, a
transformative and dynamic period in a woman's life that brings about numerous
changes in a woman's body to support the growth and development of the foetus.
It is characterized by many haematological changes, which may appear to be
pathological in the non-pregnant state (Purohit et.al. 2015). These changes extend to various organ
systems, including the haematological system, where alterations in blood
parameters occur to meet the increasing demands of the mother and the
developing baby. One important haematological parameter that undergoes changes
during pregnancy is the packed cell volume (PCV), which is a measure of the
proportion of red blood cells in relation to the total volume of blood. The parameter used to assess the red blood
cell status is the packed cell volume (PCV), which represents the volume of red
blood cells in relation to the total blood volume. Therefore, understanding the
effect of pregnancy on PCV levels is crucial for appropriate antenatal care and
intervention strategies.
Packed cell volume (PCV) is a
measure of the percentage of red blood cells in a unit volume of blood. It is
an important indicator of a person's overall health, and it can be used to
diagnose anemia and other blood disorders. During pregnancy, there are a number
of physiological changes that can affect PCV. These changes include:
•
Increased
blood volume: The volume of blood in the body increases by about 50% during
pregnancy. This is due to the increase in the volume of plasma, the liquid part
of blood.
•
Decreased
red blood cell production: The production of red blood cells decreases
during pregnancy. This is because the body's resources are diverted to
supporting the growing foetus.
As a result of these changes, PCV typically decreases during
pregnancy. The average PCV for a non-pregnant woman is 37%. However, the PCV
for a pregnant woman can range from 32% to 40%. A low PCV during pregnancy can
be a sign of anemia. Anemia is a condition in which the body does not have
enough healthy red blood cells. This can lead to symptoms such as fatigue,
shortness of breath, and pale skin.
Many studies have identified the haematological profile of
the pregnant woman as one of the factors affecting pregnancy and its outcome
(Akinbami et.al. 2013). These changes include alterations in various
haematological parameters, such as the packed cell volume (PCV), which
represents the volume of red blood cells in a given volume of whole blood. PCV
is an essential indicator of the oxygen-carrying capacity of blood and plays a
crucial role in maternal and foetal health. During pregnancy, the body undergoes
significant adaptations to meet the increasing demands of the growing foetus.
These adaptations involve an expansion of the maternal blood volume, an
increase in the number of red blood cells, and a dilution effect caused by a
relatively greater expansion of plasma volume compared to red blood cell mass.
These changes aim to ensure an adequate oxygen supply to the developing foetus
(AduBonsaffoh et.al. 2014). However, despite the physiological adjustments,
pregnancy can also predispose women to various haematological disorders, such
as anaemia which is characterized by a decrease in the number of red blood
cells or the amount of haemoglobin in the blood, resulting in reduced
oxygen-carrying capacity (Rahmati S, Delpishe A, Azami M, et al. 2017).
Furthermore, plasma expansion and haemodilution contribute
to the majority of these changes during pregnancy, there is increase in plasma
volume as well as in red cells and white blood cells volume (Anberbir S,
Hussein M, Tiebu M, 2016). The total blood volume increases in order to supply
the demands of the new vascular bed and also to compensate for blood loss
occurring at delivery. Modifications in the production of red cells and changes
in plasma volume has some effects on some of the haematological indices such as
red blood cells count, packed cell volume, haemoglobin concentration, platelet
count, and white blood cell count (Soma-Pillay P, Nelson-Piercy C, Tolppanen H,
Mebazaa A. 2016). Some of these are decreased like Red Blood Cell (RBC) and
Platelet (PLT) counts partly as a result of the physiological haemodilution
that occurs in pregnancy, while others are increased, such as the White Blood
Cell (WBC) count.
The Nigeria Demographic and Health Survey conducted in 2013
reported that approximately 58% of pregnant women in the country were anaemic,
indicating the urgent need for comprehensive understanding and interventions to
address this issue. Determining the effect of pregnancy on PCV levels among
pregnant women attending antenatal clinics is crucial for effective antenatal
care and appropriate interventions to improve maternal and foetal health
outcomes. Specifically, Kwara State, Nigeria, like many other regions, faces a
significant burden of anaemia among pregnant women. Factors contributing to
this high prevalence include poor nutritional status, socioeconomic factors,
inadequate antenatal care, and limited access to quality healthcare facilities
among others. Therefore, understanding the effect of pregnancy on PCV levels
among pregnant women attending antenatal clinics in Kwara State Specialist
Hospital, Sobi and Cottage Hospital Adewole, Ilorin, Kwara State, Nigeria, is
of utmost importance. Investigating the changes in PCV during pregnancy and
identifying potential risk factors associated with lower PCV levels will
provide valuable insights for healthcare providers and policymakers. Such
knowledge can help in the early detection, management, and prevention of
Anaemia, ultimately improving maternal and foetal health outcomes.
Additionally, comparing PCV levels between the two healthcare facilities will
shed light on any regional variations in haematological parameters and guide
interventions to address them.
By investigating the effect of pregnancy on PCV levels among
pregnant women attending Kwara State Specialist Hospital, Sobi and Cottage
Hospital Adewole Ilorin, this study aims to provide valuable insights into the
prevalence of anaemia and its relationship with PCV levels during pregnancy in
Kwara State, Nigeria.
1.2 STATEMENT OF THE PROBLEM
Packed cell volume (PCV) is a crucial parameter used to
assess the prevalence of anaemia and the red blood cell status during
pregnancy. However, there is a limited understanding of the specific effect of
pregnancy on PCV levels among pregnant women attending antenatal clinics at
Kwara State Specialist Hospital, Sobi and Cottage Hospital Adewole Ilorin in
Kwara State, Nigeria. There is also lack of comprehensive data on the effect of
pregnancy on packed cell volume (PCV) among pregnant women attending antenatal
clinics.
Investigating the effect of
pregnancy on PCV levels in this specific population is important for several
reasons:
•
Prevalence
of Anaemia: Anaemia is a major health issue among pregnant women in
Nigeria, but the prevalence and severity of anaemia may vary across different
regions of the country. Therefore, determining the specific prevalence of
anaemia and its relationship with PCV levels in Kwara State will provide
valuable insights into the magnitude of the problem in this particular region.
•
Maternal
and Foetal Health Outcomes: Understanding the effect of pregnancy on PCV
levels is crucial for assessing the risk of anaemia and its potential impact on
maternal and foetal health outcomes. Determining the relationship between PCV
levels and adverse pregnancy outcomes, such as preterm birth and low birth
weight, can help healthcare providers develop targeted interventions to improve
maternal and foetal health in Kwara State.
•
Antenatal
Care Strategies: Antenatal care plays a vital role in the prevention,
detection, and management of anaemia during pregnancy. By investigating the
effect of pregnancy on PCV levels among pregnant women attending antenatal
clinics at Kwara State Specialist Hospital, Sobi and Cottage Hospital Adewole
Ilorin, this study can provide valuable information to guide antenatal care
strategies and interventions aimed at reducing the prevalence of anaemia in the
region.
By addressing these gaps in knowledge, this study will
contribute to the existing literature on the effect of pregnancy on PCV levels
among pregnant women attending antenatal clinics in Kwara State, Nigeria. The
findings will inform healthcare professionals and policymakers about the
prevalence of anaemia and its impact on maternal and foetal health outcomes,
enabling them to develop evidence-based interventions and strategies for
improved antenatal care in the region.
1.3 OBJECTIVES OF THE STUDY
The main objective of this study is “Effect of Pregnancy on
Packed Cell Volume (PCV) among
Pregnant Women attending Antenatal Clinic at Kwara State
Specialist Hospital, Sobi and Cottage Hospital Adewole Ilorin, Kwara State,
Nigeria”. Based on this fact, the specific objectives of this study are given
below:
i.
To determine the packed cell volume (PCV) levels among
pregnant women attending antenatal clinics.
ii.
To evaluate the effect of maternal age on PCV levels
among pregnant women attending antenatal clinics. iii. To evaluate the
effect of gestational age on PCV levels among pregnant women attending
antenatal clinics.
iv.
To evaluate the effect of parity on PCV levels among
pregnant women attending antenatal clinics.
v.
To evaluate the effect of nutritional status on PCV
levels among pregnant women attending antenatal clinics.
1.4 RESEARCH QUESTIONS
In presenting a broad overview of the effect of Pregnancy on
Packed Cell Volume (PCV) among Pregnant Women attending Antenatal Clinic at
Kwara State Specialist Hospital, Sobi and Cottage Hospital Adewole Ilorin,
Kwara State, Nigeria, this project examines five points of research questions
which are enumerated below:
i.
What are the packed cell volume (PCV) levels among
pregnant women attending
antenatal clinics?
ii.
What is the effect of maternal age on PCV levels among
pregnant women attending antenatal clinics? iii. What is the effect of gestational age on
PCV levels among pregnant women attending antenatal clinics?
iv.
What is the effect of parity on PCV levels among
pregnant women attending antenatal
clinics?
v.
What is the effect of nutritional status on PCV levels
among pregnant women attending antenatal clinics?
1.5 RESEARCH HYPOTHESES
A research hypothesis is a predictive statement about the
possible outcomes of a study. It predict outcomes, it is important to have a
clear idea of the problem that one is studying
(research problem) and what one hope to achieve through the
study (research objectives). The following hypotheses will guide the study and
also facilitate the data collection. Notably, the hypotheses (H0
stands for null hypothesis and HA stands for alternative hypothesis)
will be tested in the course of this study in order to answer the research
questions and achieve the objectives of the study.
Hypothesis One`
H01: There
is no significant difference in packed cell volume (PCV) levels among pregnant women attending antenatal clinics.
H01: There
is significant difference in packed cell volume (PCV) levels among pregnant
women attending antenatal
clinics.
Hypothesis Two
H02:
There is no significant association between PCV levels and maternal age,
among pregnant women attending antenatal
clinics.
HA2:
There is significant association between PCV levels and maternal age, among
pregnant women attending antenatal
clinics.
Hypothesis Three
H03:
There is no significant association between PCV levels and gestational age,
among pregnant
women attending antenatal clinics.
HA3:
There is significant association between PCV levels and gestational age,
among pregnant women attending antenatal
clinics.
Hypothesis Four
H04:
There is no significant association between PCV levels and parity, among
pregnant women attending antenatal clinics.
HA4: There is significant
association between PCV levels and parity, among pregnant women attending
antenatal clinics.
Hypothesis Five
H05:
There is no significant association between PCV levels and nutritional status,
among pregnant women attending antenatal
clinics.
HA5:
There is significant association between PCV levels and nutritional status,
among pregnant women attending antenatal
clinics.
1.6 SIGNIFICANCE OF THE STUDY
This study is significant in the sense that it will
contribute to the existing body of knowledge on the effect of pregnancy on PCV
levels among pregnant women in Nigeria and will provide valuable data on the
prevalence of anaemia and its relationship with PCV levels during pregnancy.
These several important implications and benefits include the followings:
•
Improved
Antenatal Care: Understanding the effect of pregnancy on PCV levels in this
specific population will contribute to the improvement of antenatal care
services provided at Kwara State Specialist Hospital, Sobi and Cottage Hospital
Adewole Ilorin. The findings of this study can help healthcare professionals
identify high-risk individuals for anaemia and develop targeted interventions
to prevent and manage anaemia
effectively.
•
Maternal
Health Promotion: Anaemia during pregnancy can have adverse effects on
maternal health, leading to increased risks of complications and poor outcomes.
By determining the prevalence of anaemia and its relationship with PCV levels,
this study can raise awareness about the importance of maintaining adequate PCV
levels during pregnancy, leading to improved maternal health and well-being.
•
Foetal
Health and Development: Anaemia in pregnant women not only affects their
own health but also poses risks to foetal development and outcomes. By
investigating the impact of PCV levels on maternal and foetal health outcomes,
such as preterm birth and low birth weight, this study can provide valuable
insights into the potential consequences of anaemia on foetal well-being. The
findings can inform strategies to mitigate these risks and promote optimal
foetal health.
•
Evidence-Based
Interventions: The study's findings can serve as a foundation for
evidence-based interventions and strategies to address anaemia among pregnant
women
in Kwara State. Healthcare
professionals and policymakers can utilize this information to develop targeted
interventions, such as iron supplementation programs, nutritional counselling,
and improved antenatal care protocols, to reduce the prevalence of anaemia and
enhance maternal and foetal health outcomes.
•
Contribution
to Scientific Knowledge: The study contributes to the existing body of
knowledge on the effect of pregnancy on PCV levels in Nigeria, specifically in
the context of Kwara State. The findings will add to the limited literature
available on this topic, providing valuable data on the haematological changes
during pregnancy in the region.
1.7 SCOPE AND LIMITATIONS OF THE STUDY
The study on the effect of pregnancy on packed cell volume
(PCV) among pregnant women attending antenatal clinics at Kwara State
Specialist Hospital, Sobi and Cottage Hospital Adewole, Ilorin, Kwara State,
Nigeria will focus on the following aspects:
•
Participants:
The study will include pregnant women attending antenatal clinics at the
selected healthcare facilities in Kwara State, Nigeria.
•
Variables:
The primary variable of interest is the PCV level, which will be measured using
standardized laboratory techniques. Secondary variables will include
demographic characteristics, medical history, obstetric profile, and potential
risk factors associated with lower PCV levels during pregnancy.
•
Timeframe:
The study will be conducted over a specific period, with data collection
occurring within that timeframe.
•
Geographical
Location: The study will be conducted specifically in Kwara State, Nigeria,
focusing on the Kwara State Specialist Hospital, Sobi and Cottage Hospital
Adewole,
Ilorin.
The Limitations of the
Study is as follows:
•
Generalizability:
The findings of this study may not be generalizable to pregnant women outside
the selected healthcare facilities or to other regions in Nigeria or different
countries. The study is limited to the specific population and setting under
investigation.
•
Sample
Selection Bias: The study will use a convenient sampling method, which may
introduce selection bias. The sample may not fully represent the entire
population of pregnant women attending antenatal clinics in Kwara State,
affecting the external validity of the study.
•
Cross-Sectional
Design: The study design is cross-sectional, which limits the establishment
of causal relationships. Longitudinal studies would provide more robust
evidence of the effect of pregnancy on PCV levels over time.
•
Potential
Confounding Factors: While efforts will be made to control for potential
confounding factors, there may still be unaccounted variables that influence
PCV levels during pregnancy, such as dietary factors, socioeconomic status, and
other comorbidities.
•
Limited
Assessment of PCV: The study will focus on PCV levels as a measure of
Anaemia, but other parameters, such as haemoglobin levels and red blood cell
indices, will not be assessed. These additional measurements could provide a
more comprehensive understanding of the haematological status of pregnant
women.
•
Self-Reporting
Bias: Some data collected, such as medical history and obstetric profile,
may rely on self-reporting by participants, which can be subject to recall bias
or misinterpretation.
Despite these limitations, the study will provide valuable
insights into the effect of pregnancy on PCV levels among pregnant women
attending antenatal clinics in Kwara State, Nigeria. The findings can guide
future research and interventions to address Anaemia and improve maternal and
foetal health outcomes in the study area.
1.8 DEFINITION OF TERMS
The following are some of the terminologies used in the
course of writing this project;
•
Antenatal
Clinic: An antenatal clinic is a healthcare facility or department that
provides medical care and support to pregnant women during their pregnancy.
Antenatal clinics typically offer a range of services, including prenatal
check-ups, prenatal education, screening for health conditions, and monitoring
of the mother and baby's well-being.
•
Foetal
Health Outcomes: Foetal health outcomes refer to the health and well-being
of the developing foetus during pregnancy. This includes factors such as foetal
growth, development, birth weight, gestational age at delivery, and the
occurrence of any foetal complications or abnormalities.
•
Haemodilution:
Haemodilution refers to a condition characterized by a decrease in the
concentration of red blood cells (RBCs) and other blood components, leading to
a dilution of the blood. This occurs when there is an increase in plasma volume
relative to the number of RBCs in the blood. It can be a physiological response
or a consequence of medical interventions.
•
Iron
Supplementation: Iron supplementation refers to the administration of iron
supplements, typically in the form of oral iron tablets or syrups, to pregnant
women to prevent or treat iron deficiency anaemia. Iron supplementation plays a
crucial role in maintaining adequate iron levels and supporting healthy red
blood cell production during pregnancy.
•
Maternal
Health Outcomes: Maternal health outcomes refer to the health outcomes and
experiences of pregnant women during pregnancy, childbirth, and the postpartum
period.
This can include factors such as
maternal morbidity, mortality, gestational complications, and overall
well-being.
•
Nutritional
Status: Nutritional status refers to an individual's overall health and
wellbeing in relation to their diet and nutrient intake. In the context of this
study, nutritional status may include factors such as dietary intake,
micronutrient deficiencies (such as iron deficiency), and body mass index (BMI)
as indicators of nutritional adequacy.
•
Packed
Cell Volume (PCV): Also known as haematocrit, PCV is a measurement that
represents the proportion of red blood cells in the total volume of blood. It
is expressed as a percentage and is obtained by centrifuging a blood sample to
separate the red blood cells from the plasma.
•
Plasma
Expansion: Plasma expansion refers to an increase in the volume of plasma,
the liquid component of blood, within the circulatory system. It occurs when
there is an expansion of the plasma volume relative to the number of red blood
cells (RBCs) in the blood, leading to changes in blood composition. Plasma
expansion is a normal physiological response that can occur in various
situations, including during pregnancy, as well as in certain medical
conditions or as a result of medical interventions.
•
Prevalence:
Prevalence refers to the proportion or percentage of individuals in a specific
population who have a particular condition or characteristic at a given point
in time. In the context of this study, prevalence would refer to the proportion
of pregnant women attending antenatal clinics who have anaemia or specific PCV
levels.
•
Platelet
(PLT): Platelets, also known as thrombocytes, are small, irregularly shaped
cell fragments found in the blood. They play a crucial role in haemostasis,
which is the process of blood clotting to prevent excessive bleeding.
•
Red Blood
Cell (RBC): Red blood cells (RBCs), also known as erythrocytes, are the
most abundant type of blood cells in the human body. They are specialized cells
that play a crucial role in transporting oxygen from the lungs to the body's
tissues and carrying carbon dioxide back to the lungs for elimination.
•
White
Blood Cell (WBC): White blood cells (WBCs), also known as leukocytes, are a
crucial component of the immune system. They are a diverse group of cells that
help defend the body against infections, foreign substances, and abnormal
cells. Unlike red blood cells, white blood cells have a nucleus and are larger
in size.
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