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Ethnic disparaties in the prevalence of overweight and obesity among women and children in high income countries : the case for Aftican migrant women and children
PhD ThesisExcess body weight in women of child-bearing age can have severe consequences for
maternal and child health, including reduced fertility, pregnancy complications, an increased
risk of child obesity and increased susceptibility to non-communicable diseases. Black women
and children in high-income countries (HICs) have a disproportionately higher prevalence of
overweight and obesity compared to other ethnic groups. However, there is a lack of evidence
on the weight status of African migrant women and children living in HICs, and on these
women’s weight perceptions and perceived risks of overweight and obesity.
In the first phase of this thesis, I used systematic review, meta-analysis and framework
synthesis methods to explore the weight status of African migrant women and children living
in HICs, and the dietary and physical activity (PA) behaviours of African migrant women. Metaanalyses
results showed that African migrant women had higher body mass index (BMI)
(weighted mean difference (WMD)=1.95 Kg/m2, 95%CI 1.16–2.75) and higher odds of
overweight (OR=2.45, 95%CI 1.65–3.63), obesity (OR=2.09, 95%CI 1.41–3.12) and
combined overweight/obesity (OR=2.09, 95%CI 1.41–3.12) compared to non-African women
from HICs. Children of African migrant women also had higher mean birthweights
(WMD=48.71g, 95%CI 4.19g–93.24g), higher odds of overweight (OR=1.50, 95%CI 1.00–
2.24), obesity (OR=2.28, 95%CI 1.37–3.78), combined overweight/obesity (OR=2.08, 95%CI
1.40–3.11) and macrosomia (OR=1.83, 95%CI 1.77–1.89), and lower odds of low birthweight
(OR=1.06, 95%CI 0.56–2.02) compared to children of non-African women. Risks of
overweight and obesity were higher for women and children from North Africa, while data were
lacking for sub-Saharan Africa. African migrant women had bicultural dietary patterns,
inadequate intakes of iron, folate, and calcium, excessive sodium intakes, and reduced PA
levels. There were data gaps on potential confounders that may influence maternal and child
weight status, associations between maternal characteristics and child weight outcomes, and
weight-related behaviours of pregnant African migrant women.
In the second phase, I explored the weight perceptions of African migrant women living in the
UK, their perceived risks of overweight and obesity to themselves and their children, and the
sociocultural and migration-related influences of these. Interviews conducted with 23 African
migrant women from Nigeria, Ghana and Cameroon were analysed through thematic analysis.
Key themes identified were: ‘we are not at risk’, ‘bigger is better’, acculturation, ‘a child cannot
be too fat’ and infant feeding as a balancing act. The women’s perceptions were influenced by
their understandings and lay interpretations of body weight terms, which differed from
mainstream knowledge. Perceived risk factors for obesity included: diet, genetics, childbearing
and living the ‘easy life’ in the UK. PA was mostly interpreted as sport or exercise and was not
an intrinsic part of their culture. Post-migration changes in weight perceptions included
increased knowledge of healthy weight-related behaviours, awareness of unhealthy cultural
practices and preference for smaller body sizes (for themselves but not their children).
Pregnancy was associated with heightened weight-awareness, while preconception weight
was believed to have no influence on women’s health or pregnancy. Midwives and relatives
were useful information sources for pregnancy weight, and challenges with weight
management in pregnancy included families encouraging weight gain; food cravings;
unhealthy food in the UK and unfamiliar dietary advice from midwives. Women tended to
disregard weight-related advice from health care providers, while valuing advice from friends
and family.
This thesis identifies African migrant women and children as high-risk groups for overweight
and obesity, and highlights the role of migration and socio-cultural influences on their weight
status, behaviours and perceptions. There is a need for culturally-tailored interventions to
support weight management in this population, especially taking into account their
multicultural identities. Further research and interventions addressing the risk factors and
areas of need identified could help prevent further increases in obesity, and contribute towards
narrowing the inequality gaps in health outcomes among migrant populations in HICs
Determinants of the gut microbiota development in piglets and its relationship to performance
PhD ThesisThe role of the microbiota in host health and metabolic phenotype is of increasing interest,
with perturbations to the microbiota in early life influencing long term health conditions. The
aim of this thesis was to establish factors affecting the neonatal piglet microbiota development
and to identify microbiota markers associated with superior piglet growth.
Longitudinal analysis revealed that, whilst piglet age was the main determinant of microbiota
development over the first 8 weeks of life, differences in faecal microbiota richness and
genera abundance were associated with piglet birthweight. The abundance of several
identified genera was higher in piglets with superior growth rates during early life.
The sow is an important source of microbiota seeding to neonatal piglets. Sow faecal
microbiota changed significantly during the periparturient period and differed between
parities, with primiparous sows exhibiting a lower microbiota diversity than multiparous
sows. Early life piglet microbiota community composition was more like the maternal areolar
skin microbiota immediately after birth but became increasingly similar to the maternal faecal
microbiota with time. In a reciprocal cross-fostering model between primiparous and
multiparous sows, a litter specific neonatal piglet microbiota existed for the first three days of
life, with siblings separated by cross-fostering retaining a more similar microbiota
composition than non-siblings in the same litter. Non-fostered primiparous progeny had lower
neonatal microbiota diversity and pre-weaning growth, whilst cross-fostered piglets
developed a more diverse neonatal microbiota.
Administration during the neonatal period of an autogenous Enterococcus faecium strain,
previously associated with superior piglet growth was unsuccessful in improving pre- or postweaning performance, but reduced diarrhoea occurrence.
In conclusion, early life microbiota markers associated with birthweight and growth have
been identified. Sow microbiota sources, sow parity and standard management practices, such
as cross-fostering influence piglet microbiota development. Exploiting this knowledge could
help to design management strategies aimed at improving piglet performance through
microbiota manipulation.Institute for Agri-Food Research and Innovation, a joint
venture between Newcastle University and Fera Science Lt
A child-centred approach in human heritable genome editing
Ph. D. Thesis.The core feature of human heritable genome editing (“HGE”) is that any modification made on the germ cells (sperms or eggs) or early human embryos is likely to be passed down to subsequent generations. This feature makes the use of this technology highly controversial. Thus, there is a need to adopt a suitable approach to consider future children who are going to live the consequences of this technology. Taking a child-centred perspective, this thesis explores two main concerns: first, whether, and to what extent, the act of HGE is ethically acceptable; and second, how should HGE be regulated if it is deemed ethically acceptable for reproductive use. More specifically, it examines how a child-centred approach should be adopted in answering these questions.
This thesis first examines four child-related arguments commonly raised in the existing HGE debate, including the non-identity problem, the open future argument, the purported right to non-modified genomes, and the proposed long-term follow up system for the resulting children. It argues that the existing arguments and proposal have failed to appropriately consider (future) children’s interests mainly because there is (1) a lack of solid theoretical framework to justify the recommendation commonly made for a health-related use of HGE, and (2) a lack of detailed analysis on an important but often overlooked concept in the HGE debate, that is the concept of “identity”. In order to fill these gaps, this thesis explores the capability approach and argues that Jennifer Ruger’s health capability paradigm provides a good philosophical framework in understanding why “health capabilities” can justify and more importantly, also limit the health-related use of the technology. Additionally, this thesis analyses the concepts of “identity” and argues for a multi-faceted understanding of “identity” with narrative identity to be given the greatest weight in the ethico-legal considerations of HGE
Developing English as a Foreign Language students’ critical thinking during the process of collaborative writing
Integrated PhDBased on a premise that critical thinking (CT) can be taught and assessed (Mason, 2008; Mehta
and Al-Mahrooqi, 2015), this study examined the Critical Thinking (CT) application of English
as Foreign Language (EFL) students. It focused, in particular, on the impact of mutual
interaction with CT instruction during Collaborative Writing (CW) activities.
In order to promote EFL university students’ understanding and application of CT, a
collaborative learning environment and explicit teaching of CT were encouraged in EFL classes
(Todd and Hudson, 2007; Jones, 2008; Lin, 2014). Within the CT instruction environment, this
study integrated CW practices with CT pedagogy to encourage negotiation and collaborative
interaction and to stimulate EFL students’ CT (Lowry et al., 2004; Storch, 2013; Storch, 2016).
An eight-week CW intervention integrated with CT instruction was conducted for 24 EFL
students in a Chinese university. Here, a mixed methods approach was employed, including pre- and post- tests of student argumentative writing and CT, classroom observation of peer
interaction and CT application, and semi-structured interviews to investigate participant attitudes
to CW and CT. In addition to examining writing and CT test outcomes after the intervention, this
study observed interactions to explore participants’ CT development during the CW process. In
this regard, the dyadic interaction patterns proposed by Storch (2002; 2013) and the taxonomy of
language functions adapted from Li and Kim (2016) were used to establish a comprehensive
analytical framework.
The findings demonstrated that participants gradually developed a collaborative interaction
pattern with high levels of mutuality and equality in task contribution. Through this, they
produced more CT-related language functions, such as arguing and justifying, at the end of the
eight-week intervention. Results from pre- and post- tests and participant interview responses
also suggested that embedding CT into the CW process could improve participants’ CT. As such,
these findings contribute to an understanding of EFL student CT and learning processes within
EFL teaching, and it can help to inform the design of EFL classes
Determining the efficacy of a usage-based language intervention in the early years : a non-randomised pilot stud
PhD ThesisIntroduction Language skills are crucial for positive social, emotional, academic and economic
outcomes across the lifespan. Whilst most children acquire language relatively easily, a number of
children experience difficulties. Early intervention can mitigate the risks associated with poor
language skills, and the importance of evidence-based intervention is widely recognised by Speech
and Language Therapists. Despite this, there are few robustly evaluated language interventions for
young children.
Building Early Sentences Therapy (BEST) is a complex language intervention designed to support
children to understand and produce two, three and four clause-element sentences (McKean et al.,
2013).
This thesis presents a non-randomised quasi-experimental study of BEST with sign, BEST without sign
and Treatment as Usual with four key goals: 1) to evaluate the efficacy of BEST, 2) to assess the use
of sign as an ‘active ingredient’, 3) determine the effect sizes from goals 1 and 2, and 4) to inform
further evaluation.
Methods Schools were assigned to three treatment arms matched with respect to classroom oral
language environment and socioeconomic status. Participants were 3;5-4;5-year-old children with
expressive, receptive or mixed language difficulties below the 16th centile.
The intervention was 16 sessions of BEST with or BEST without sign. The TAU group received their
usual classroom provision.
Children’s outcomes on production, comprehension, content and morphology on targeted and non targeted language structures were measured.
Results Visual trends showed improvement for children receiving BEST.
There was evidence for the efficacy of BEST compared to TAU for Production, Content and
Morphology outcomes.
There was also evidence that BEST with Sign improved outcomes further for Production and
Sentence Morphology outcomes.
Content Analysis of teacher feedback led to the generation of recommendations for future studies
evaluating BEST.
Discussion Children receiving BEST make progress with production, content and morphology
outcomes. The role of sign in further supporting progress is positively indicated. A further trial of
BEST is warranted
Professionals working with children and families who have had adverse childhood experiences
D. Ed. App. Psy. ThesisUK professional networks and services have begun accommodating into their practices what
is known about Adverse Childhood Experiences (ACEs). Including international research
efforts, there is growing interest and awareness regarding their health and social impact.
However, debate continues regarding the potentially reductionist and deterministic nature
of the ACEs model, causing concern given growing public attention.
A systematic literature review was conducted exploring education- and community-based
interventions aiming to mitigate ACEs’ impact. The best available evidence was collated,
synthesising eight empirical papers of varying research design and context. Papers were
critically analysed, and results synthesised using their assessed quality and strength of
findings. The findings mirror the depth and complexity of the ACEs model. Themes and
differences across intervention content and impact are identified and
discussed. Implications for the interpretation and use of the model are discussed, especially
within education and connected services.
Arising from this literature exploration, an action research project took place in a primary
school. Collaborating with a staff working party, this explored the way in which Continuing
Professional Development (CPD) about ACEs could be facilitated in school. Group data were
analysed using an abbreviated constructionist grounded theory approach and findings are
situated alongside Hope Theory.
Further discussion focuses on the links between the two pieces of research and the personal
decisions made regarding their significance. Ontological and theoretical underpinnings are
explored, along with the impact of the complex positioning of the researcher when using an
action research process and engaging in constructionist grounded theory analysis. Attention
is also given to ethical issues
Fundamental Understanding of Turbulent Combustion in Droplet-Laden Mixtures Using Direct Numerical Simulations
PhD ThesisThe flame propagation in droplet-laden mixtures is of considerable importance in automotive
engines, gas turbines, and accidental explosions. Despite the practical importance of turbulent combustion of droplet-laden mixtures, it remains one of the most challenging topics in
thermo-fluid mechanics due to the involvement of complex interactions of evaporation, heat
and mass transfer, fluid dynamics, and combustion thermochemistry. Thorough knowledge
of these interactions, which occur over a wide range of scales, is necessary for fundamental
understanding and modelling of turbulent spray flames. In this thesis, three dimensional compressible Direct Numerical Simulations (DNS) of spherically expanding and V-shaped flames
propagating in droplet mists are considered for a fundamental physical understanding of the
flame structure and flame speed statistics in turbulent spray flames. Simulations with modified
single-step Arrhenius type chemical mechanism have been conducted for a range of different
droplet diameters, overall equivalence ratios, and turbulence intensities. The influence of liquid droplets has been investigated by comparing the statistics for spray flames to those for the
corresponding gaseous premixed spherically expanding flames with statistically similar initial
turbulent flow conditions. It has been found that flame-droplet interaction promotes dropletinduced flame wrinkling for laminar flame kernels, and this strengthens with increasing overall
equivalence ratio and droplet diameter. However, the effects of droplet-induced flame wrinkling cannot be readily distinguished from flame wrinkling due to fluid motion for turbulent
spherically expanding spray flames. The combustion has been found to take place predominantly under fuel-lean mode in comparison to the overall equivalence ratio for all droplet sizes
and this tendency strengthens with increasing droplet diameter due to slow evaporation of large
droplets. Furthermore, increasing turbulence intensities enhances the availability of fuel-lean
mixture. The statistics of the Surface Density Function (SDF = magnitude of the reaction
progress variable gradient) and the strain rates, which affect the behaviour of SDF have been
analysed for spherically expanding spray flames. Flame thickening has been observed for large
droplets and at high turbulence intensities due to the predominance of fuel-lean combustion.
Droplet size and turbulence intensity significantly affect the behaviour of scalar gradients and
the infinitesimal distance between non-material surfaces. The flame propagation behaviour in
droplet-laden mixtures has been analysed in terms of the statistics of density-weighted dis-
placement and consumption speeds. Flame topologies associated with flame self-interaction
events have been discussed along with the small-scale scalar geometries of flame isosurfaces.
The presence of droplets, turbulence intensity and droplet diameter have been found to considerably alter the distributions of flame topologies. Additionally, flame-droplet interactions
have been investigated in detail based on the source terms associated with two-phase coupling arising from droplet evaporation in various gaseous carrier phase transport equations and
the modelling implications of the statistical behaviour of flame-droplet interactions have been
addressed. Furthermore, hypothetical inertialess droplet motion is considered to identify the
influence of droplet inertia on the combustion characteristics and the evolution of the flame
surface area. The number density of droplets within the flame is greater for the inertial droplet
cases than the corresponding inertialess droplet cases and this leads to higher availability of
obtaining stoichiometric mixture in the flame. Finally, a comparison between the spherically
expanding and V-shaped spray flames reveals that flame curvature, density-weighted displacement speed, and consumption speed varies considerably with droplet diameter in the case of
spherically expanding spray flame cases, whereas the effects of droplet diameter are relatively
weaker in V-flames. Simulations of V-shaped flames propagating in droplet mists for different
mean inflow velocities indicate that reacting mixture composition significantly varies with the
mean inflow velocity which also plays an important role in determining the flame structure
and burning rate statistics
Assessment and correction of endogeneity problems in discrete choice models
PhD ThesisThe term endogeneity is used when there is a correlation between one or more observed
explanatory variables (independent variables) and the error term of an econometric model.
Endogeneity is considered a practically inevitable phenomenon in econometric modelling,
as there are many potential causes behind it: omitted variables, measurement or
specification errors, simultaneous estimation and self-selection. The problem is that it may
give rise to inconsistent parameter estimates, and if its effects are not considered when
estimating a model, the analyst may come to wrong forecasts and conclusions.
Correcting for endogeneity has been widely addressed in the linear models (LM)
literature, but LM have a limited scope in certain areas. This is particularly the case in
planning and social evaluation of transport projects, where Discrete Choice Models
(DCM), which are highly non-linear, play a fundamental role. Unfortunately, DCM are
not often corrected for endogeneity, so a gap has been identified in the state of knowledge
that this thesis intends to close. Thus, the general aim of this Ph.D. dissertation is to
develop a set of guidelines that allow for the assessment and correction of endogeneity
problems in DCM.
We establish conclusions of a theoretical, empirical and methodological nature. In the first
instance, it is desired to determine adequate instrumental variables for endogeneity
correction in transport modelling and measure the impact of this correction on strategic
modal split models. We can reduce the errors associated with the estimation of DCM,
improve its forecasting capabilities, and achieve consistent parameters resulting in
corrected estimates of model valuation measures, such as the subjective value of time
(SVT). Furthermore, we formulate an empirical methodology, supported by Monte Carlo
simulation, to predict using DCM corrected for endogeneity with a new and more adequate
version of the CF method. We also define guidelines to clarify under what conditions
discrete indicators work (or not) when DCM are corrected for endogeneity using the MIS
method. Finally, we structure a methodology to detect weak DCM instruments based on
what has been proposed for linear model
Characterisation and structural biology of protein arginine methyltransferases
PhD ThesisPost-translational and epigenetic modifications of proteins and nucleic acids are known
to play major roles in influencing cell fate. Enzymes that catalyse modifications such
as phosphorylation, acetylation and methylation have been identified as promising
drug targets. Protein methyltransferase 2 (PRMT2) and Coactivator-associated arginine methyltransferase 1 (CARM1) belong to the class of Type 1 PRMTs which catalyse the asymmetric dimethylation of substrate arginine residues. CARM1 has been
shown to be overexpressed in different cancer types including breast and prostate
cancer. PRMT2 has been identified as a potential target for oncology with reported
links to androgen receptor signalling, NF-κB signalling and induction of apoptosis.
However, selective chemical probes that could be used as tools for target validation
and which could potentially be a starting point for drug discovery are still missing.
The work presented here aims to identify selective CARM1 and PRMT2 inhibitors
that target the cofactor- and substrate-binding sites. Crystal structures of mouse
PRMT2 in the apo-state and in complex with Sinefungin are presented. Crystal structures of the catalytic domain of CARM1 in complex with the cofactor S-adenosyl Lhomocysteine (SAH) and different small molecule inhibitors were also determined. Surface plasmon resonance was used to characterise inhibitor binding to CARM1 and
identify structure-activity relationships. To further map the CARM1 active site, ligand
soaks of CARM1 with a library of small fragments called FragLites were performed.
These small fragments can more readily find potential binding pockets than larger more
drug-like inhibitors. A direct and label-free mass spectrometry-based assay was developed to measure CARM1 activity and its inhibition. Together these findings can be
used to further develop inhibitors that target the PRMT family. These inhibitors will be
useful tools to investigate the biology of PRMT2 and CARM1 and to understand their
biological role in cancer
Investigation into Non-Aqueous Aluminium-ion Battery Electrolyte and Cathode Materials for Enhanced Power and Capacity
PhD ThesisEnergy storage is one of the most important resources in today’s society. Developing this resource
to be more efficient and sustainable is one of the biggest challenges to overcome. For decades,
lithium has been at the forefront of energy storage, powering our technology from mobile phones
to electric vehicles. The dwindling amount of available lithium left in the world signals that it’s
time for the next battery material. Aluminium is not only substantially more abundant across the
world, making it cheaper with a lower carbon footprint, but due to its trivalency it possesses a larger
capacity than monovalent lithium which could result in smaller, higher capacity and more
affordable batteries.
This work investigated different electrolyte compositions of aluminium-ion batteries (AIB), a
eutectic melt of 1-ethyl-3-methylimidazolium chloride with AlCl3 and its impact on
electrochemical stability, anode and cathode performance, and battery coulombic efficiency,
degradation, and capacity. The anodic limit of the electrolyte increased with increasing AlCl3
content due to formation of Al2Cl7
-
species. Electrolyte degradation studies revealed electrolyte
oxidation produces chlorine gas which was detected as HCl. Several carbon-based and metal oxide
cathode materials were investigated for AIBs. Cathode potential, mechanism of reaction,
coulombic efficiency, specific capacity, and degradation rates were recorded. Charged and
discharged cathode material characterisations were carried out using XRD, STM, and Raman
spectroscopic techniques. The dominant two mechanisms were found to be chloroaluminate
intercalation or electro-adsorption.
Cell tests were performed to study the interplay between the Al metal anode, cathodes, and varying
electrolyte compositions on charge/discharge. Battery performance was assessed using key
performance indicators: specific capacity, specific energy, and coulombic efficiency. Carbonbased materials displayed the greatest performance with graphite giving a specific capacity of 295
mAhg-1 with an energy density of 500 Whkg-1
. A hybrid lithium-aluminium cell using an NMC
811 positive electrode resulted in a capacity of 58 mAhg-1