Proposal summaries

These are research proposals that have been approved by the ALSPAC exec. The titles include a B number which identifies the proposal and the date on which the proposals received ALSPAC exec approval.

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B4353 - Associations between prenatal urban environment and cardiometabolic health from childhood to adolescence - 19/06/2023

B number: 
B4353
Principal applicant name: 
Wen Lun Yuan | INSERM, UMR1153 CRESS (France)
Co-applicants: 
Ahmed Elhakeem, Dr, Ana Luiza Goncalves Soares, Dr, Nicholas John Timpson, Pr, Barbara Heude, Dr, Janine Felix, Dr
Title of project: 
Associations between prenatal urban environment and cardiometabolic health from childhood to adolescence
Proposal summary: 

Living in an urbanized environment undeniably leads to more exposure to urban environmental exposures. Previous studies conducted on urban health were mostly focused on air pollution, while the urban environment is also characterized by its built environment and access to natural spaces. Recently, there is a surging interest to better understand the interplay of different environmental factors that define the urban environment and its effect on children health. Living in a more urbanized environment has been associated with greater adiposity and higher blood pressure in children. Importantly, child cardiometabolic health parameters were mostly investigated individually, while they are intercorrelated. Two approaches have been used to study child cardiometabolic health, a clustering method and a risk score.

Impact of research: 
Findings from this work will be published into 1 to 2 papers and eventually be presented in an international congress.
Date proposal received: 
Tuesday, 6 June, 2023
Date proposal approved: 
Tuesday, 13 June, 2023
Keywords: 
Epidemiology, Diabetes, Hypertension, Obesity, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Computer simulations/modelling/algorithms, Statistical methods, Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc., Birth outcomes, Offspring, Sex differences, Statistical methods, Blood pressure, BMI, Cardiovascular, Cohort studies - attrition, bias, participant engagement, ethics, Environment - enviromental exposure, pollution, Growth, Metabolic - metabolism, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc.

B4351 - Executive Function as transdiagnostic cognitive marker of ADHD and eating disorders in early adulthood - 12/06/2023

B number: 
B4351
Principal applicant name: 
Yuning Zhang | University of Southampton (United Kingdom)
Co-applicants: 
Ms Amy Cooke
Title of project: 
Executive Function as transdiagnostic cognitive marker of ADHD and eating disorders in early adulthood
Proposal summary: 

ADHD and eating disorders have been indicated to be highly comorbid disorders, however research is still unclear of mediators in the comorbidity. Research has shown executive functions to have associations with both disorders, despite this, there is currently limited literature aiming to determine executive function as a potential transdiagnostic cognitive marker in the comorbidity. Biological, social and cognitive factors have been proposed to explain the comorbidity, yet research is still limited in its investigation of the role of executive function in the comorbidity. To address this gap in the literature, I plan to examine whether executive function mediates ADHD and eating disorder relationship at 24/25 years of age.

Impact of research: 
Our research will provide a novel insight into executive function as transdiagnostic cognitive marker of ADHD and eating disorders. If this research demonstrates a significant finding, it allows for future research into the comorbidity of the disorders, and can have implications for interventions and treatment plans, aiming to help individuals who are diagnosed or at risk, in order to decrease the impact of comorbid ADHD and eating disorders.
Date proposal received: 
Saturday, 3 June, 2023
Date proposal approved: 
Monday, 12 June, 2023
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Developmental disorders - autism, Eating disorders - anorexia, bulimia, Statistical methods, Cognition - cognitive function

B4349 - Investigating associations between social connectedness mental health stress and inflammation across childhood development - 13/06/2023

B number: 
B4349
Principal applicant name: 
Anja Heilmann | UCL
Co-applicants: 
Miss Alison Nicoll, Professor Yvonne Kelly, Dr Rebecca Lacey
Title of project: 
Investigating associations between social connectedness, mental health, stress and inflammation across childhood development
Proposal summary: 

How children develop both emotionally and physically may be shaped by their social experiences. Studies investigating adverse experiences in early life suggest that such experiences may have long-term negative effects on mental wellbeing and stress that continue into adulthood. Furthermore, experiencing chronic stress can have physical effects on the body – for example, increased levels of the stress hormone cortisol can elevate inflammation. Over the long term, these effects may increase the risk of diseases such as heart disease and diabetes. This evidence establishes the role of a “psychosocial pathway” linking our social experiences to mental and physical health.

In contrast, social relationships research suggests that positive, supportive social connections confer a psychological benefit, that promotes wellbeing in children and adults and may improve resilience in face of stressful events. This may be achieved by providing a sense of belonging and attachment to others – in other words, social connectedness. Children may experience social connectedness to a range of people across different social contexts, for example within their family; their school; their peers; and their community.

Unpinning the functional aspects of social connections that foster this may therefore identify opportunities to promote mental and physical health and development. However, to date, there has been limited research exploring the physiological effects of social connectedness, and how these may be mediated via stress and its downstream effects, such as inflammation. Epigenetic modification of stress-response genes may underpin long-term effects, however there has been limited research investigating these pathways using birth cohort data. Furthermore, few studies exploring these associations in childhood have included or compared multiple social contexts. Lastly, there is limited research utilising longitudinal data to explore how associations between social connectedness, mental health, stress and inflammation may change over time.

This project aims to address these research gaps by investigating the associations between early life social connectedness, mental health and biological indicators of stress and inflammation across different social contexts – namely, family, school, friends, and community. This project will investigate how these social experiences may establish longitudinal trends in mental health and stress across childhood and into early adulthood. To investigate one potential mechanism that may underpin long-term physical effects, this project will assess the relationship between social connectedness and epigenetic modification of stress-response genes.

Impact of research: 
This research aims to inform the development of meaningful interventions. This project aims to build on the existing social relationships literature to ask 3 important questions: what, where and when: what functional components of social connectedness are associated with mental health and stress, where do children experience social connectedness, and what is the relevance of timing to these associations? By exploring each of these components, this research has the potential to inform the development of meaningful interventions that effectively promote social connectedness within the most appropriate social context, at the most relevant stage of development. By informing such interventions, this research has the potential to yield long-term benefits to mental health and stress that may be observable into adulthood, which may in turn alleviate the future burden of inflammation and stress-related non-communicable diseases such as cardiovascular disease. The impact of such interventions could additionally yield an economic benefit. Both mental health conditions and stress-related non-communicable diseases present a significant cost to the NHS and overall productivity in the UK. For example, the London School of Economics (LSE) and the Mental Health Foundation (MHF) have estimated an annual cost of mental health conditions to the UK economy of at least £117.9 billion, whilst the cost of the inflammation-related conditions CVD and diabetes are estimated to cost the UK economy £15.8 billion and £23.7 billion, respectively. Furthermore, the prevalence of these conditions, and therefore the associated costs, is rising and is anticipated to do so. For example, the Mental Health of Children and Young People in England survey reported that the prevalence of probable mental disorder in young people aged 17-19 rose from 1 in 10 to 1 in 4 between 2017 and 2022. There is increasing need to effectively mitigate these increases by identifying and addressing the factors contributing to this rise. Notably, this marked increase in mental disorders corresponds to the COVID-19 outbreak – a period characterised by low social connectedness. This project may therefore mitigate this rising burden by informing the development of meaningful interventions that improve social connectedness within a post-COVID world.
Date proposal received: 
Thursday, 1 June, 2023
Date proposal approved: 
Monday, 12 June, 2023
Keywords: 
Epidemiology, Mental health, Stress, inflammation, Statistical methods, Biological samples -e.g. blood, cell lines, saliva, etc., Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc., Cohort studies - attrition, bias, participant engagement, ethics, Childhood - childcare, childhood adversity, Epigenetics, Parenting, Statistical methods

B4350 - Parenting Practices and Depression in adolescents the mediating - 08/06/2023

B number: 
B4350
Principal applicant name: 
Yuning Zhang | University of Southampton (United Kingdom)
Co-applicants: 
Ms Lauren Murphy
Title of project: 
Parenting Practices and Depression in adolescents: the mediating
Proposal summary: 

Studies have documented close relationship between parenting behaviour (e.g., harsh parenting, abuse, and neglect) and depression (Cole et al., 2016). It is however not entirely clear what’s the mechanism underlying such association. How individual process rewards has been found to be closely associated with depression (Beck, 1967; Disner et al., 2011),and can potentially be a mediator exaplaining the link between parenting and depression. Specifically, research has shown that an individual suffering from depression differs from people without depression in terms of how they value rewards according to time (Pulcu et al., 2014). In this study, we aim to investigate the mediating effect of reward valuation in the association between parenting in adolescence and depression in early adulthood, a period characterised by heightened risk for depression, as well as time poses parenting challenges. We will also explore the association with financial difficulties, gambling problems, employment status, and romantic relationship quality in early adulthood as a proxy of individual functioning.

Impact of research: 
If the research shows an association between depression and parenting practices in adolescence, which is mediated by reward valuation, it can demonstrate the need for parenting interventions for teenagers with depression, as well as early interventions for adolescents likely to be suffering from depression, to prevent further harm. Furthermore, if some parenting practices are stronger predictors than others, this can be taught to parents to prevent the use of these techniques.
Date proposal received: 
Saturday, 3 June, 2023
Date proposal approved: 
Thursday, 8 June, 2023
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Mental health, Statistical methods, Childhood - childcare, childhood adversity, Development, Parenting

B4348 - The role of DNA methylation in pubertal development and timing of sexual reproduction - 12/06/2023

B number: 
B4348
Principal applicant name: 
Jana Runze | University of Amsterdam (Netherlands)
Co-applicants: 
Dr. Geertjan Overbeek, Dr. Susanne Schulz
Title of project: 
The role of DNA methylation in pubertal development and timing of sexual reproduction
Proposal summary: 

According to life-history theory, any organism will strategically divide resources toward growth, maintenance and reproduction (Ellis, 2004). In a harsh environment, humans might mature earlier to enable earlier reproduction – to secure the transmission of one’s own genes in the next generations (Belsky et al., 1991). Previous research has indeed indicated that harsh family environments, such as chaotic life environments or rejecting, inconsistent parental behavior, and severe stressors can lead to earlier pubertal maturation (in girls) (Belsky et al., 2010; Belsky, Steinberg, et al., 2007; Ellis et al., 1999; Holdsworth & Appleton, 2020; Sheppard et al., 2016). Recently, a two-hit model of accelerated aging has been proposed (Belsky & Shalev 2016), specifying that early adversity does not necessarily lead to earlier sexual reproduction even though it has been found to predict pubertal maturation. Belsky and Shalev hypothesized that a supportive environment during puberty can act as a buffer against early sexual reproduction. Moreover, they hypothesized a potential biological mechanism, wherein early childhood adversity may result in epigenetic changes (i.e. advanced biological age compared to chronological age measured via epigenetic clocks) which might result in earlier pubertal maturation and (in case of a non-supportive environment) in earlier sexual reproduction.
Some previous proposals have looked at parts of this model (e.g. B878, B897, B2760, B2883, B3077, B3690), but we will be the first to combine these parts, such as relation between father absence and puberty or the relation between pubertal development and sexual risky behaviors into one overarching model of the life history theory.

Impact of research: 
Research findings of the proposed study can have an impact on the research field of evolutionary psychology by testing a potential biological mechanisms in humans which has been theorized but not investigated empirically. Moreover, examining the potential buffering effect of a supportive environment in middle childhood and adolescence is of major importance for families and policy makers as early sexual reproduction can lead to drop-out of school and consequently low educational level, low income and associated adverse health and psychological outcomes
Date proposal received: 
Wednesday, 31 May, 2023
Date proposal approved: 
Thursday, 8 June, 2023
Keywords: 
Developmental psychology, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Statistical methods, Childhood - childcare, childhood adversity, Parenting, Puberty

B4340 - Children of the 90s Coping strategies Study Asthma and diabetes sub-studies - 14/07/2023

B number: 
B4340
Principal applicant name: 
Jean Golding | University of Bristol (United Kingdom)
Co-applicants: 
Prof Carol Joinson, Mrs Yasmin Iles-Caven, Prof Kate Northstone, Prof Crystal Park, Dr Lucy Beasant
Title of project: 
Children of the 90s Coping strategies Study (Asthma and diabetes sub-studies)
Proposal summary: 

Children of the 90s aims to discover as much as possible about our health. People cope in many different ways with ill health,
especially long-term or chronic illnesses. By interviewing 120 Children of the 90s participants with either long Covid, diabetes or asthma, we hope to gain important insights into the most effective ways of managing chronic conditions.

Impact of research: 
The interviews proposed in this study are part of a much larger study investigating a number of major research questions concerning beliefs and behaviours, including religiosity and spirituality and their relationship with health and well-being (see Https://ahrp.blogs.bristol.ac.uk/) Findings from the Beliefs, Behaviours & Health Research Programme (RSBB) will be used to inform the academic community and the public of any advantages (or disadvantages) of religious/spiritual beliefs and behaviours to health.
Date proposal received: 
Monday, 5 June, 2023
Date proposal approved: 
Tuesday, 6 June, 2023
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Diabetes, Respiratory - asthma, Qualitative study, Asthma, diabetes, coping, beliefs, behaviours

B4342 - Ultra-processed food consumption and risk of overweight and obesity in children - 05/06/2023

B number: 
B4342
Principal applicant name: 
Kiara Chang | Imperial College London (United Kingdom)
Co-applicants: 
Ms Anna Teo, Dr Eszter Vamos
Title of project: 
Ultra-processed food consumption and risk of overweight and obesity in children
Proposal summary: 

Globally, increasing prevalence of obesity has been observed, not just amongst adults but also in children. Studies have suggested that early development of obesity in childhood is associated with obesity in adulthood and development of chronic illnesses. It is thus important that factors associated with the rising prevalence of obesity amongst children are investigated, so that early interventions can be put in place to address the issue. While the causes contributing to obesity are complex, healthy eating is one of the most important and modifiable risk factors to address this issue. Traditionally, studies have been conducted to understand specific food group or nutrient and the association with obesity. However, in recent decades, food systems have undergone major changes that have led to a rising availability of ultra-processed foods globally. Under the NOVA food processing classification, ultra-processed foods are defined as industrial products made with many ingredients not accessible in domestic kitchen and typically contain a myriad of artificial additives. While there are growing evidence that the consumption of ultra-processed foods are linked to obesity in adults, this has not been examined in children except for few cohort studies with short follow up time. Therefore, this project aims to investigate the link between childhood consumption of ultra-processed foods and the development of overweight and obesity from childhood to early adulthood in the ALSPAC birth cohort. The results of this study will address an important gap in literature and also provide valuable insights to help shape future policies in tackling childhood obesity.

Impact of research: 
The link between higher consumption of ultra-processed foods and development of obesity in adults are now well-understood, but there is only one short term cohort study to date that examined the impact of ultra-processed food consumption on children’s development of overweight and obesity. Therefore, our study is timely to address this important gap in research and will provide the first ever longer term results on the prospective association between childhood consumption of ultra-processed foods and risk of overweight and obesity from childhood to early adulthood during a crucial period of growth and development. This could in turn bring about positive downstream effects in providing policy recommendations on lowering the degree of food processing in diets to tackle the rising issue of childhood obesity.
Date proposal received: 
Friday, 26 May, 2023
Date proposal approved: 
Monday, 5 June, 2023
Keywords: 
Epidemiology, Obesity, Statistical methods, BMI, Cohort studies - attrition, bias, participant engagement, ethics, Nutrition - breast feeding, diet

B4343 - Consumption of Artificially Sweetened Beverages and Glycaemic Biomarkers - 05/06/2023

B number: 
B4343
Principal applicant name: 
Kiara Chang | Imperial College London (United Kingdom)
Co-applicants: 
Ms Victoria Zhang, Dr Eszter Vamos
Title of project: 
Consumption of Artificially Sweetened Beverages and Glycaemic Biomarkers
Proposal summary: 

The World Health Organization has issued recommendations against the use of non-sugar sweeteners as means to reduce free sugars intake and weight control. However, artificially sweetened beverages are a major source of non-sugar sweeteners and are widely available and commonly consumed by children. While current evidence base provides no support for the link between dietary intake of artificial sweeteners and any long-term improvement in weight or adiposity control, the understanding of the link between artificial sweeteners and glycaemic biomarkers (e.g. glucose, insulin, haemoglobin A1c) in children remains scarce. Therefore, this project aims to investigate the longitudinal association between consumption of artificially sweetened beverages during childhood and levels of glycaemic biomarkers between 9-24 years of age in the ALSPAC birth cohort. The findings of this research could provide valuable insights into dietary recommendations for children and potentially contribute to the ongoing discourse on the health effects of artificially sweetened beverages.

Impact of research: 
This study will provide valuable insights in an area with scarce research and advance the understanding in the impact of childhood consumption of ASBs on longer term levels of glycaemic biomarkers. The results will be highly relevant both for public health and health policy since ASBs are popular products and commonly consumed by children in the UK and worldwide, our research findings will help shape policies for further population health improvement.
Date proposal received: 
Friday, 26 May, 2023
Date proposal approved: 
Monday, 5 June, 2023
Keywords: 
Epidemiology, Diabetes, Statistical methods, Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc., Cohort studies - attrition, bias, participant engagement, ethics, Nutrition - breast feeding, diet

B4344 - Individualized Prediction and Intervention-targeting for Children with Depression Anxiety and ADHD Predictive and Causal Data - 05/06/2023

B number: 
B4344
Principal applicant name: 
Glenn Saxe | NYU Langone (USA)
Co-applicants: 
Constantin Aliferis, MD, PhD, FACMI, Sisi Ma, PhD, Thomas Kirsh, BS, Linmin Wang, MS, Michelle Papp
Title of project: 
Individualized Prediction and Intervention-targeting for Children with Depression, Anxiety, and ADHD: Predictive and Causal Data
Proposal summary: 

We propose research to advance precision in predicting individual prognostic trajectory and individual response to intervention for three common and debilitating categories of mental disorders in childhood: (1) Depressive Disorders, (2) Anxiety Disorders, and (3) Attention Deficit Hyperactivity Disorder. Our research will advance this precision by elucidating the etiologic heterogeneity of samples of children within these three diagnostic groups and determining clinical signatures corresponding to such heterogeneity. Such signatures will guide the development of a set of assessment and clinical decision-support tools that we will evaluate – integrating behavioral tests/measures – for classifying children with depression, anxiety disorders, and ADHD into sub-groups strongly informing on individual prognosis and probable responsiveness to specific categories of intervention.

Impact of research: 
Our research will evaluate the clinical signatures available in current EHR systems for predictive outcomes and treatment responsiveness in children with i. Depressive Disorders, ii. Anxiety Disorders, and iii. ADHD; determine how behavioral tests available in large research cohorts improve the prediction of outcomes and treatment responsiveness for children from the three diagnostic groups; and determine additional intervention targets for children that could not be classified for their probable response to such interventions. We intend to use the clinical signatures determined in this research to produce and evaluate a set of practical and safety-oriented Assessment and Decision Support Tools (ADSTs) - that will include the assessment and use of specific behavioral tasks and passive behavioral data - to sub-classify children with Depressive Disorders, Anxiety Disorders, and ADHD into categories informing their individual prognosis and probable response to specific intervention (including novel interventions).
Date proposal received: 
Saturday, 27 May, 2023
Date proposal approved: 
Monday, 5 June, 2023
Keywords: 
Statistics/methodology, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Computer simulations/modelling/algorithms, Statistical methods, Childhood - childcare, childhood adversity, Genetics, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Psychology - personality

B4334 - Characterising determinants of early growth trajectories and their consequences on later life health - 05/06/2023

B number: 
B4334
Principal applicant name: 
Nicole Warrington | University of Queensland Institute for Molecular Bioscience (Australia)
Co-applicants: 
Kym-Mai Nguyen, Prof David Evans
Title of project: 
Characterising determinants of early growth trajectories and their consequences on later life health
Proposal summary: 

The prevalence of cardiovascular disease and diabetes is increasing and the financial burden on society is substantial. Children who have unfavourable growth through early life are at increased risk of these diseases. This study aims to investigate the relationship between early life growth and future risk of diseases like diabetes and perform a large study looking at the relationship between methylation and growth. Knowledge gained from these studies will inform the design of public health initiatives.

Impact of research: 
Date proposal received: 
Monday, 29 May, 2023
Date proposal approved: 
Monday, 5 June, 2023
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), Diabetes, Hypertension, Mental health, Obesity, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Gene mapping, GWAS, Proteomics, Statistical methods, Birth outcomes, Blood pressure, Mendelian randomisation, Mothers - maternal age, menopause, obstetrics, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Offspring, Puberty, Statistical methods, BMI, Cardiovascular, Development, Epigenetics, Genetic epidemiology, Genetics, Genome wide association study, Growth

B4338 - Early life social connections and adiposity Exploring the underlying biosocial mechanisms - 02/06/2023

B number: 
B4338
Principal applicant name: 
Yvonne Kelly | UCL (United Kingdom)
Co-applicants: 
Miss Katie Taylor, Dr Eleonora Iob, Dr Daisy Fancourt
Title of project: 
Early life social connections and adiposity: Exploring the underlying biosocial mechanisms.
Proposal summary: 

Obesity is a significant challenge for individuals, societies, and economies. Whilst behaviours involved in energy balance, such as physical activity and diet, have been a primary focus of obesity research, several psychosocial factors have also shown promising associations. Social connections (such as social support and social networks) are known to be linked to disease and mortality in later life. Research has shown associations between social connections and a reduced risk of obesity, yet there is little known about these associations in earlier life stages including childhood, adolescence, and young adulthood. Taking a lifecourse perspective has the potential to reset health and social trajectories by encouraging a proactive preventative approach, rather than a reactive treatment approach. The specific roles and relative contributions of the different social connection dimensions (structural, functional, and quality) are also unclear, meaning the optimum ways to intervene are unknown.

Understanding the underlying biosocial mechanisms linking social connections to health is important as it can help establish causality and suggest novel interventions. Stress and inflammatory response systems have been individually associated with both social connections and obesity but have not been studied in this relationship. Ultimately, this project aims to provide a comprehensive understanding of the relationship between early life social connections and obesity across the early lifecourse, including the exploration of the potential underlying biological mechanisms.

Impact of research: 
The findings from this research could help inform interventions for the prevention of obesity. Social connections are amenable to change, meaning they are a promising social exposure to target. Recently, there has been increased interest in non-medical interventions, meaning social connections could provide the basis for another non-medical intervention to develop. The research could also inform how different social connections impact health via different pathways and which dimensions need prioritising in clinical and policy settings. This could improve intervention effectiveness. Focussing on early life stages may encourage a more proactive approach to obesity prevention, rather than a reactive approach such as treatment. This is important as many treatment options for obesity are inadequate and have not been able to reverse the trend of increasing obesity worldwide. Furthermore, the multi-dimensional approach should encourage the development of upstream interventions rather than downstream interventions from policymakers, again improving effectiveness. Finally, elucidating the biosocial mechanisms will help identify specific targets for interventions, perhaps encouraging a combination of medical and social approaches. The UK is currently facing an economic crisis with frequent strike action and energy prices increasing. Considering the vast direct and indirect economic impact of the obesity epidemic, it is crucial to identify ways to prevent obesity to alleviate pressure on the NHS and reduce public spending. Taking a lifecourse approach and exploring predictors of obesity in early life, such as the current project proposes, can aid and encourage the development of preventative strategies. Consequently, as less funds are directed to tackle the obesity epidemic, more can be directed towards other issues. From an academic point of view, this project will provide a comprehensive, multi-dimensional social connections framework that could be used to explore other chronic diseases. This multi-faceted approach will allow us to understand how the dimensions are independently and/or interactively associated with adverse health outcomes via different pathways. Furthermore, seeking to understand the most appropriate lifecourse models for these associations will enable us to identify the most appropriate ways and times to intervene. The findings from this research are timely considering the COVID-19 pandemic. The pandemic has significantly impacted our ability to socially connect with others, meaning there is an increased risk of the adverse health outcomes associated with isolation, loneliness, and poorer quality social connections. The overriding public perception of obesity remains that it is caused by the individual, for example being ‘lazy’. This demonstrates a lack of understanding around the biopsychosocial predictors of obesity. The proposed research could be used to help educate the public to better understand the issue of obesity. Ultimately, this should help reduce the stigma and, in turn, increase support for prevention and treatment efforts. Overall, the potential impact of the project outlined above will have an important effect on reducing the burden on individuals, societies, healthcare, and public health finances.
Date proposal received: 
Friday, 19 May, 2023
Date proposal approved: 
Friday, 2 June, 2023
Keywords: 
Epidemiology, Obesity, Statistical methods, BMI

B4337 - Predicting Language Development at the Individual Level - 06/06/2023

B number: 
B4337
Principal applicant name: 
Patrick Wong | The Chinese University of Hong Kong (China)
Co-applicants: 
Title of project: 
Predicting Language Development at the Individual Level
Proposal summary: 

Research using data from the AVON Study has found developmental stability of language development (Bornstein et al., 2018, Science Advances). Children whose language ability ranks low at 6 months are likely to continue to rank low when they are 15 years old. The results are group-level results revealing group tendencies, rather than pinpointing whether a particular infant will likely to develop better or poorer language in later childhood. We would like to examine whether a more precise analytical approach can be adopted so that we will be in a better position to forecast language development at the individual-child level.

Impact of research: 
A precise predictive model to forecast language development will have the potential to inform caregivers, clinicians and educators about whether preemptive early intervention should be provided to the infants and families in order to enhance the infants' language outcome.
Date proposal received: 
Friday, 19 May, 2023
Date proposal approved: 
Friday, 2 June, 2023
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Developmental disorders - autism, Cognitive impairment, Learning difficulty, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Speech/language problem, Statistical methods, Birth outcomes, Cohort studies - attrition, bias, participant engagement, ethics, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Parenting, Psychology - personality, Speech and language, Childhood - childcare, childhood adversity, Cognition - cognitive function, Communication (including non-verbal), Development, ENT - hearing, Growth, Intelligence - memory, Mothers - maternal age, menopause, obstetrics

B4323 - Combining polygenic risk scores to optimize prediction of alcohol problems - 31/05/2023

B number: 
B4323
Principal applicant name: 
Frances Wang | University of Pittsburgh (United States)
Co-applicants: 
Title of project: 
Combining polygenic risk scores to optimize prediction of alcohol problems
Proposal summary: 

Problematic alcohol use is a major public health burden. It is important to understand how to best predict individuals most at risk for alcohol problems so they can be targeted for early prevention efforts. This project will explore whether combining polygenic risk scores can enhance the prediction of alcohol problems.

Impact of research: 
Efforts to optimize polygenic risk prediction for alcohol problems could eventually help with prevention and intervention screening. This would be a critical step towards personalized medicine. As there are multiple different pathways individuals can take to alcohol problems, it is important for this to be reflected in polygenic risk prediction.
Date proposal received: 
Tuesday, 9 May, 2023
Date proposal approved: 
Wednesday, 31 May, 2023
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), Addiction - e.g. alcohol, illicit drugs, smoking, gambling, etc., Statistical methods, Biological samples -e.g. blood, cell lines, saliva, etc., Genetic epidemiology, Genetics, Social science

B4339 - Camouflaging across neurodevelopmental conditions and the general population - 14/07/2023

B number: 
B4339
Principal applicant name: 
Laura Hull | Centre for Academic Mental Health, Bristol Medical School (United Kingdom)
Co-applicants: 
Dr Dheeraj Rai, Dr Felicity Sedgewick
Title of project: 
Camouflaging across neurodevelopmental conditions and the general population
Proposal summary: 

In recent years there has been increasing interest in the phenomenon of camouflaging (hiding or compensating for neurodivergent traits), particularly within autistic populations. Camouflaging is understood to be associated with poorer mental health in these populations. The most common method of measuring camouflaging is through a brief self-report measure. However, there have been no unselected population-based studies which measure camouflaging, and therefore we do not know whether, and to what degree, camouflaging is unique to neurodivergent populations and whether it is associated with poorer mental health outcomes across the general population. This project aims to assess the prevalence of camouflaging across the general population for the first time, and to compare between typically developing individuals and those with neurodevelopmental and mental health conditions.

Impact of research: 
The research will help us to determine whether camouflaging is unique to neurodevelopmental conditions, and to establish prevalence of camouflaging across the population for the first time. This will be of immense interest to researchers, clinicians, and people with neurodevelopmental conditions.
Date proposal received: 
Monday, 22 May, 2023
Date proposal approved: 
Wednesday, 24 May, 2023
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Mental health, Neurodevelopmental conditions (autism, ADHD), Qualitative study, Statistical methods, Communication (including non-verbal), Development, Sex differences, Mental health

B4333 - The association between maternal-related diseases and neurodevelopmental disorders in offspring an ALSPAC database study - 31/05/2023

B number: 
B4333
Principal applicant name: 
TaoXiong | West China Second University Hospital,Sichuan University (China)
Co-applicants: 
Title of project: 
The association between maternal-related diseases and neurodevelopmental disorders in offspring: an ALSPAC database study
Proposal summary: 

Maternal-related diseases affect the development of offspring nervous system. However, there are currently some limitations in the research on this topic, such as small sample sizes, short observation periods, lack of long-term follow-up, unconsidered confounding factors and interactions, etc. To overcome these limitations, our study plans to use the large-scale population cohort data in ALSPAC, adopt advanced statistical methods and causal inference methods, systematically analyze the strength of the association and causal effects of maternal-related diseases between neurodevelopmental disorders in offspring, and explore possible mechanisms and intervention measures.

Impact of research: 
Date proposal received: 
Tuesday, 16 May, 2023
Date proposal approved: 
Wednesday, 24 May, 2023
Keywords: 
Clinical research/clinical practice, Allergy, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Developmental disorders - autism, Cognitive impairment, Eczema, Hypertension, Infection, Mental health, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Computer simulations/modelling/algorithms, Statistical methods, Cognition - cognitive function, Development

B4330 - Genetic basis of DNA methylation GODMC2 - 21/08/2023

B number: 
B4330
Principal applicant name: 
Josine Min | MRC IEU, University of Bristol (United Kingdom)
Co-applicants: 
Gibran Hemani, Prof Tom Gaunt, Dr Olalekan Awoniran, Olivia Castellini Pérez, Elena Carnero
Title of project: 
Genetic basis of DNA methylation (GODMC2)
Proposal summary: 

DNA methylation (DNAm) plays a central role in gene regulation. It helps to define how cells respond to environmental signals
and, ultimately, contributes to health or susceptibility to disease. DNAm variation is influenced by genetic, molecular and environmental and other factors. However, the amount and the effects of differences in DNAm from one person to another is
poorly understood.
A powerful avenue into researching the functional consequences of changes in DNAm levels is to correlate DNA sequence variants such as single nucleotide polymorphism (SNPs) to DNAm levels to find both local and distal (for example on
other chromosomes) effects. Having completed the largest genetic study of DNAm worldwide to date (through the Genetics of DNA Methylation Consortium) by scanning 10 million SNPs genomewide, we have identified 270k SNP-DNAm associations. This was achieved by analysing about 400,000 DNAm sites in blood, which is only 2% of 28 million DNAm sites across the genome. There is a huge potential for improved understanding of DNAm variation between individuals and its influence on health and disease by studying other regulatory regions of the genome using EPIC arrays, by using cell type interactions and other gene-environmental interactions and by using different types of statistical tests

Impact of research: 
Date proposal received: 
Wednesday, 10 May, 2023
Date proposal approved: 
Wednesday, 24 May, 2023
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), mQTL analysis, GWAS, EWAS, Epigenetics

B4335 - The role of religious beliefs in adult mental health - 24/05/2023

B number: 
B4335
Principal applicant name: 
Isaac Halstead | University of Bristol (United Kingdom)
Co-applicants: 
Carol Joinson, Jon Heron
Title of project: 
The role of religious beliefs in adult mental health
Proposal summary: 

Most research has found a positive association between religious belief and mental health, but these are often in US samples, which may differ from samples in other countries. We have previously examined childhood and adolescent mental health and parental religious belief, which have found results that differ from much of the previous literature. This study seeks to expand upon our previous studies of childhood and adolescent mental health by examining adult mental health, and whether offspring religious belief is associated with it in a large UK cohort study.

Impact of research: 
A new understanding of the role of religion in mental health.
Date proposal received: 
Thursday, 18 May, 2023
Date proposal approved: 
Wednesday, 24 May, 2023
Keywords: 
Social Science, Mental health, Statistical methods, Psychology - personality

B4327 - Improving speech outcomes in preterm children - 24/05/2023

B number: 
B4327
Principal applicant name: 
Sam Burr | BSLTRU / North Bristol NHS Trust (United Kingdom)
Co-applicants: 
Title of project: 
Improving speech outcomes in preterm children
Proposal summary: 

This project will investigate how speech sounds develop in the first 8 years of life in children born prematurely. Preterm children are at increased risk of impaired neurodevelopment, which can include problems with acquisition of speech and speech disorder. Speech sound disorder can impact their learning, mental health, and life chances in adulthood. This study will provide information on how prematurity impacts speech development and how this compares with full-term children. This will help health professionals in the early identification and intervention of preterm children requiring support.

The study comprises five workstreams. 1) a full systematic review of the literature to determine the characteristics associated with speech sound development in preterm children; 2) examination of data from the ALSPAC dataset to explore the characteristics and outcomes of speech development in preterm children in the first 8 years of life compared with full term children; 3) examination of data from the National Neonatal Audit Programme (NNAP) to explore how the degree of prematurity impacts speech development in preterm children; 4) collection of new data from a clinical sample of preterm children recruited from NHS neonatal services in Bristol and Cardiff; 5) a UK-wide online survey will determine the role of Speech and Language Therapists in NHS neurodevelopmental assessments for preterm children in the first 3 years of life.

Impact of research: 
We do not currently understand how speech develops in preterm children. We know that this group of children are at higher risk of speech difficulties, but we also know that many of them develop typical speech without problems. This research will provide a robust picture of speech development in preterm children. This information will ensure health and care services are optimised for early identification and intervention for this group of children with savings in cost and time in surveillance for the children who are at low/no risk of speech difficulties. This research fully aligns with the NHS Long Term Plan key objective to ensure a strong start in life for children and young people (NHS, 2019) and the NIHR Children and Families Policy Research Unit theme Early interventions for children and families. As part of this work, the applicant will develop collaborative links with research teams in Sweden and Australia who are exploring related topics in this field. This will strengthen the research and the international influence of the work. The research will benefit children and their families, communities, and our wider society. In line with UK government priorities, this research represents an opportunity for levelling-up healthcare access and quality for children at risk of poorer life outcomes. Children cannot access education without good communication skills. Current health service inequalities across the UK mean that children are subject to a postcode lottery for SLT services. This research will lead to improved and enhanced early surveillance and monitoring for children at greatest risk of speech difficulties, which will impact their education, wellbeing, and life outcomes. This will lead to better life outcomes for this group of children and reduced financial burden on the NHS and society through earlier intervention and more targeted provision of specialist support.
Date proposal received: 
Tuesday, 9 May, 2023
Date proposal approved: 
Wednesday, 24 May, 2023
Keywords: 
Epidemiology, Speech/language problem, premature birth, Statistical methods, Birth outcomes, Childhood - childcare, childhood adversity, Communication (including non-verbal), Development, Speech and language

B4328 - Depression and hypertension comorbidity sleep as a potential mediator - 24/05/2023

B number: 
B4328
Principal applicant name: 
Yuning Zhang | University of Southampton (United Kingdom)
Co-applicants: 
Ms Thea Dyson
Title of project: 
Depression and hypertension comorbidity: sleep as a potential mediator
Proposal summary: 

Depression and hypertension commonly co-occur. This comorbidity may be explained by HPA axis dysregulation which has associations with both hypertension and depression. Additionally, sleep problems are a known cause of HPA axis dysregulation, therefore, sleep may serve as a transdiagnositic marker, and potentailly intervention point, for both disorders. This research will focus on childhood and adolescence as previous research has only examined this relationships in adults, despite these conditions being prevalent in younger groups. Additionally, adulthood is a time when these conditions are already well-established. Through examining a younger sample, we can study the directionality and mediation of this relationship at a time when both conditions start to emerge.

Impact of research: 
This research will reveal the nature of the inter-relatedness between depression and hypertension during adolescence. Moreover, it will also provide insight into the role of sleeping quality for the common comorbidity between the two conditions. These findings will also have implications for interventions which could target sleep in preventing and reducing hypertension and depression comorbidity.
Date proposal received: 
Wednesday, 10 May, 2023
Date proposal approved: 
Wednesday, 24 May, 2023
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Hypertension, Mental health, Statistical methods, Blood pressure, Sleep, Statistical methods

B4329 - Identifying Genetic and Non-Genetic Factors that Influence Age at Menarche - 24/05/2023

B number: 
B4329
Principal applicant name: 
Yee-Ming Chan | Boston Children's Hospital (United States)
Co-applicants: 
Title of project: 
Identifying Genetic and Non-Genetic Factors that Influence Age at Menarche
Proposal summary: 

This projects seeks to deepen our understanding of how the timing of puberty affects adult health outcomes, specifically, risk of cardiovascular disease (CVD). The age at which a girl gets her first menstrual period (age at menarche, or AAM) has a peculiar relationship with CVD: both earlier and later AAM are associated with increased risk of CVD in adulthood.

In preliminary work focusing on later AAM, we applied human genetic techniques to distinguish the effects of common genetic changes on AAM from the effects of other, yet-to-be-identified factors. We were surprised to find that the relationship between later AAM and CVD depends on the underlying cause of later AAM. If caused by common genetic changes, later AAM is actually associated with _lower_ risk of cardiovascular disease. In contrast, if caused by other factors, later AAM is associated with _increased_ risk of cardiovascular disease.

The broad goals of this project are 1) to better understand how common genetic changes affect AAM by subgrouping common genetic variants based on their effects on childhood factors known to affect AAM, and 2) to identify factors other than common genetic changes that influence AAM.

Impact of research: 
1) A fuller understanding of factors that affect pubertal timing, which is currently poorly understood 2) Improved tools to understand the complex relationship between pubertal timing and cardiovascular disease in adulthood, with the ultimate goal of identifying modifiable factors that could be targeted to improve adult health.
Date proposal received: 
Wednesday, 10 May, 2023
Date proposal approved: 
Wednesday, 24 May, 2023
Keywords: 
Endocrinology, Puberty, Statistical methods, Polygenic risk score analyses, BMI, Cardiovascular, Genetic epidemiology, Genetics, Genomics, Puberty

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