How does age affect the relationship between weight and health utility during the middle years of childhood?

Purpose: The limited literature examining weight status and preference-based health-related quality of life (HRQL) in young children is equivocal. This study aims to examine how the association between weight status and preference-based HRQL changes as children develop between the ages of 6 and 10 years old. Methods: The Child Health Utility 9D (CHU-9D) was used to determine preference-based HRQL. Height and weight data were also collected and used to calculate z-BMI adjusted for age and gender. 1467 children were recruited from 54 schools across the West Midlands. Data were collected at four time points over 5 years. Impact of weight on dimensions of HRQL was assessed via the distribution of responses to CHU-9D dimensions by weight status. Multi-level regression analysis controlling for ethnicity, deprivation and other relevant co-variates was conducted to examine the relationship between weight and HRQL. Results: There was no evidence to suggest that the weight status impacted upon the distribution of responses to CHU-9D dimensions. Correspondingly, the multi-level regression analysis found no statistically significant differences in CHU-9D scores between underweight, healthy weight, overweight and obese children. Conclusions: The evidence surrounding the link between preference-based HRQL and weight status in children is limited. This study found no association between weight status and HRQL as measured by the CHU-9D in children between the ages of 5 and 10 years in the UK. Given this, it is recommended that future studies aiming to prevent obesity in children in their middle years do not rely solely on preference-based measures for economic evaluation, and instead focus on capturing clinical or wellbeing outcomes

Safeguarding in adolescent mental health research:navigating dilemmas and developing procedures

Mental disorders are prevalent during adolescence. Self-harm and suicide are more common in adolescents with a probable mental disorder, with one in four reporting to have attempted self-harm. Research involving adolescents is, therefore, likely to include participants experiencing mental ill health, even if mental health is not the primary focus. Researchers should adopt procedures and principles that safeguard adolescent mental health in their research practice. Yet there are gaps between theory and practice of research with adolescents in relation to their mental health, and limited guidance is available. We discuss emerging safeguarding dilemmas and procedures in adolescent mental health research. Our experiences of safeguarding adolescent mental health are grounded in the UK National Institute for Health and Care Research-funded SMART Schools Study. Drawing from this secondary school-based study, we focus on how our research team encountered and addressed a high prevalence of participants (aged 12–13 and 14–15 years) reporting thoughts and behaviours related to self-harm or suicide (24% of participants). This included reviewing our existing risk mitigation processes and consulting with several committees including young people with lived experiences of mental health. We present the SMART Schools study safeguarding approach for adolescent mental health. This encompasses key safeguarding principles, study procedures and relevant justifications. We address school and university roles and responsibilities, pupil understanding, and efficient, effective and secure communication pathways. We embed guidance throughout this article for researchers working with adolescents in the context of mental health. Lastly, we present five key recommendations to safeguard the mental health of adolescents participating in research, including (1) appointing a safeguarding lead within the research team; (2) codesigning a bespoke study safeguarding approach; (3) adopting a responsive approach to mental health safeguarding; (4) being transparent about the study mental health safeguarding approach and (5) report the implementation and outcomes of safeguarding approaches. Trial registration number ISRCTN77948572

Safeguarding in adolescent mental health research:navigating dilemmas and developing procedures

Mental disorders are prevalent during adolescence. Self-harm and suicide are more common in adolescents with a probable mental disorder, with one in four reporting to have attempted self-harm. Research involving adolescents is, therefore, likely to include participants experiencing mental ill health, even if mental health is not the primary focus. Researchers should adopt procedures and principles that safeguard adolescent mental health in their research practice. Yet there are gaps between theory and practice of research with adolescents in relation to their mental health, and limited guidance is available. We discuss emerging safeguarding dilemmas and procedures in adolescent mental health research. Our experiences of safeguarding adolescent mental health are grounded in the UK National Institute for Health and Care Research-funded SMART Schools Study. Drawing from this secondary school-based study, we focus on how our research team encountered and addressed a high prevalence of participants (aged 12–13 and 14–15 years) reporting thoughts and behaviours related to self-harm or suicide (24% of participants). This included reviewing our existing risk mitigation processes and consulting with several committees including young people with lived experiences of mental health. We present the SMART Schools study safeguarding approach for adolescent mental health. This encompasses key safeguarding principles, study procedures and relevant justifications. We address school and university roles and responsibilities, pupil understanding, and efficient, effective and secure communication pathways. We embed guidance throughout this article for researchers working with adolescents in the context of mental health. Lastly, we present five key recommendations to safeguard the mental health of adolescents participating in research, including (1) appointing a safeguarding lead within the research team; (2) codesigning a bespoke study safeguarding approach; (3) adopting a responsive approach to mental health safeguarding; (4) being transparent about the study mental health safeguarding approach and (5) report the implementation and outcomes of safeguarding approaches. Trial registration number ISRCTN77948572

Is utility-based quality of life associated with overweight in children? Evidence from the UK WAVES randomised controlled study

BACKGROUND: Quality-Adjusted Life Years (QALYs) are often used to make judgements about the relative cost-effectiveness of competing interventions and require an understanding of the relationship between health and health-related quality of life (HRQOL) when measured in utility terms. There is a dearth of information in the literature concerning how childhood overweight is associated with quality of life when this is measured using utilities. This study explores how weight is associated with utility-based HRQOL in 5–6 year olds and examines the psychometric properties of a newly developed pediatric utility measure – the CHU9D instrument. METHODS: Weight and HRQOL were examined using data collected from 1334 children recruited within a UK randomised controlled trial (WAVES) (ISRCTN97000586). Utility-based HRQOL was measured using the CHU9D, and general HRQOL measured using the PedsQL instrument. The association between weight and HRQOL was examined through a series of descriptive and multivariate analysis. The construct validity of the CHU9D was further assessed in relation to weight status, in direct comparison to the PedsQL instrument. RESULTS: The HRQOL of children who were either overweight or obese was not statistically different from children who were healthy or underweight. This result was the same for when HRQOL was measured in utility terms using the CHU9D instrument, and in general terms using the PedsQL instrument. Furthermore, the results support the construct validity of the newly developed CHU9D as the PedsQL total HRQOL scores corresponded well with the individual CHU9D dimensions. CONCLUSION: At age 5–6 years, the inverse association between overweight and HRQOL is not being captured by either the utility-based CHU9D instrument nor the PedsQL instrument. This result has implications for how the cost-effectiveness of childhood obesity interventions is measured in children aged 5–6 years. TRIAL REGISTRATION: ISRCTN Registry: ISRCTN97000586 19(th) May 2010

Development of a childhood obesity prevention programme with a focus on UK South Asian communities

OBJECTIVE: We report the development of a childhood obesity prevention intervention for UK South Asian primary school-aged children, guided by the UK Medical Research Council (MRC) framework for complex intervention development and evaluation. METHODS: We combined information gained from a literature review, stakeholder focus groups, an expert group, review of local resources and mapping to the Analysis Grid for Environments Linked to Obesity (ANGELO framework) in an intervention development process. The study took place in 2007 in Birmingham, UK. RESULTS: Contextual information from the stakeholder focus groups was essential for informing intervention development. The expert group defined guiding principles for the intervention. Informing intervention design by assessing existing local resources addressed intervention sustainability. The use of the ANGELO framework ensured a comprehensive environmental approach to intervention development. The intervention consisted of two broad processes; increasing children's physical activity levels through school, and increasing skills of families through activity-based learning. The developed intervention is being evaluated in a major study. CONCLUSIONS: The intervention development process has resulted in a tailored intervention programme to prevent childhood obesity in UK South Asian communities, but also intervention processes that could be applied to other communities and tailored to local context