Sarah Redsell

Prof. Sarah Redsell

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 October 2012 in Archives of Disease in Childhood
Verified
Journal Article
Open access
PDF file
SWStephen Franklin Weng
Stephen Franklin Weng
SRSarah Redsell
Sarah Redsell
JSJudy A Swift
Judy A Swift
MYMin Yang
Min Yang
CGCristine P Glazebrook
Cristine P Glazebrook
Objective: To determine risk factors for childhood overweight that can be identified during the first year of life to facilitate early identification and targeted intervention.Design: Systematic review and meta-analysis.Search strategy: Electronic database search of MEDLINE, EMBASE, PubMed and CAB Abstracts.Eligibility criteria: Prospective observational studies following up children from birth for at least 2 years.Results: Thirty prospective studies were identified. Significant and strong independent associations with childhood overweight were identified for maternal pre-pregnancy overweight, high infant birth weight and rapid weight gain during the first year of life. Meta-analysis comparing breastfed with non-breastfed infants found a 15% decrease (95% CI 0.74 to 0.99; I2=73.3%; n=10) in the odds of childhood overweight. For children of mothers smoking during pregnancy there was a 47% increase (95% CI 1.26 to 1.73; I2=47.5%; n=7) in the odds of childhood overweight. There was some evidence associating early introduction of solid foods and childhood overweight. There was conflicting evidence for duration of breastfeeding, socioeconomic status at birth, parity and maternal marital status at birth. No association with childhood overweight was found for maternal age or education at birth, maternal depression or infant ethnicity. There was inconclusive evidence for delivery type, gestational weight gain, maternal postpartum weight loss and ‘fussy’ infant temperament due to the limited number of studies.Conclusions: Several risk factors for both overweight and obesity in childhood are identifiable during infancy. Future research needs to focus on whether it is clinically feasible for healthcare professionals to identify infants at greatest risk.

20 April 2015 in Maternal & Child Nutrition
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Journal Article
Open access
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SRSarah Redsell
Sarah Redsell
BEBarrie Edmonds
Barrie Edmonds
JSJudy Anne Swift
Judy Anne Swift
ANAloysius Niroshan
Aloysius Niroshan
SWStephen Weng
Stephen Weng
CGCris Glazebrook
Cris Glazebrook
The risk factors for childhood overweight and obesity are known and can be identified antenatally or during infancy, however, the majority of effective interventions are designed for older children. This review identified interventions designed to reduce the risk of overweight/obesity that were delivered antenatally or during the first 2 years of life, with outcomes reported from birth to 7 years of age. Six electronic databases were searched for papers reporting randomised controlled trials of interventions published from January 1990 to September 2013. A total of 35 eligible studies were identified, describing 27 unique trials of which 24 were behavioural and three were non‐behavioural. The 24 behavioural trials were categorised by type of intervention: (1) nutritional and/or responsive feeding interventions targeted at parents of infants, which improved feeding practices and had some impact on child weight (n = 12); (2) breastfeeding promotion and lactation support for mothers, which had a positive effect on breastfeeding but not child weight (n = 5); (3) parenting and family lifestyle (n = 4); and (4) maternal health (n = 3) interventions that had some impact on feeding practices but not child weight. The non‐behavioural trials comprised interventions manipulating formula milk composition (n = 3). Of these, lower/hydrolysed protein formula milk had a positive effect on weight outcomes. Interventions that aim to improve diet and parental responsiveness to infant cues showed most promise in terms of self‐reported behavioural change. Despite the known risk factors, there were very few intervention studies for pregnant women that continue during infancy which should be a priority for future research.

1 August 2013 in Pediatrics
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Journal Article
Closed access
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SWStephen F. Weng
Stephen F. Weng
SRSarah Redsell
Sarah Redsell
DNDilip Nathan
Dilip Nathan
JSJudy A. Swift
Judy A. Swift
MYMin Yang
Min Yang
CGCris Glazebrook
Cris Glazebrook
OBJECTIVE: The aim of this study was to develop and validate a risk score algorithm for childhood overweight based on a prediction model in infants. METHODS: Analysis was conducted by using the UK Millennium Cohort Study. The cohort was divided randomly by using 80% of the sample for derivation of the risk algorithm and 20% of the sample for validation. Stepwise logistic regression determined a prediction model for childhood overweight at 3 years defined by the International Obesity Task Force criteria. Predictive metrics R2, area under the receiver operating curve (AUROC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. RESULTS: Seven predictors were found to be significantly associated with overweight at 3 years in a mutually adjusted predictor model: gender, birth weight, weight gain, maternal prepregnancy BMI, paternal BMI, maternal smoking in pregnancy, and breastfeeding status. Risk scores ranged from 0 to 59 corresponding to a predicted risk from 4.1% to 73.8%. The model revealed moderately good predictive ability in both the derivation cohort (R2 = 0.92, AUROC = 0.721, sensitivity = 0.699, specificity = 0.679, PPV = 38%, NPV = 87%) and validation cohort (R2 = 0.84, AUROC = 0.755, sensitivity = 0.769, specificity = 0.665, PPV = 37%, NPV = 89%). CONCLUSIONS: Using a prediction algorithm to identify at-risk infants could reduce levels of child overweight and obesity by enabling health professionals to target prevention more effectively. Further research needs to evaluate the clinical validity, feasibility, and acceptability of communicating this risk.

18 November 2010 in BMC Public Health
Verified
Journal Article
Open access
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SRSarah Redsell
Sarah Redsell
PAPhilippa Atkinson
Philippa Atkinson
DNDilip Nathan
Dilip Nathan
ANAloysius Niroshan
Aloysius Niroshan
JSJudy A Swift
Judy A Swift
CGCris Glazebrook
Cris Glazebrook
A number of risk factors are associated with the development of childhood obesity which can be identified during infancy. These include infant feeding practices, parental response to infant temperament and parental perception of infant growth and appetite. Parental beliefs and understanding are crucial determinants of infant feeding behaviour; therefore any intervention would need to take account of their views. This study aimed to explore UK parents' beliefs concerning their infant's size, growth and feeding behaviour and parental receptiveness to early intervention aimed at reducing the risk of childhood obesity.

1 March 2001 in Child: Care, Health and Development
Verified
Journal Article
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SRSarah Redsell
Sarah Redsell
JCJ Collier
J Collier

1 October 2016 in Pediatrics
Verified
Journal Article
Closed access
PDF file
AHAnita J. Hughes
Anita J. Hughes
SRSarah Redsell
Sarah Redsell
CGCris Glazebrook
Cris Glazebrook
CONTEXTS: Preterm infants are at an increased risk of neurodevelopmental delay. Some studies report positive intervention effects on motor outcomes, but it is currently unclear which motor activities are most effective in the short and longer term. OBJECTIVE: The aim of the study was to identify interventions that improve the motor development of preterm infants. DATA SOURCES: An a priori protocol was agreed upon. Seventeen electronic databases from 1980 to April 2015 and gray literature sources were searched. STUDY SELECTION: Three reviewers screened the articles. DATA EXTRACTION: The outcome of interest was motor skills assessment scores. All data collection and risk of bias assessments were agreed upon by the 3 reviewers. RESULTS: Forty-two publications, which reported results from 36 trials (25 randomized controlled trials and 11 nonrandomized studies) with a total of 3484 infants, met the inclusion criteria. A meta-analysis was conducted by using standardized mean differences on 21 studies, with positive effects found at 3 months (mean 1.37; confidence interval 0.48–2.27), 6 months (0.34; 0.11–0.57), 12 months (0.73; 0.20–1.26), and 24 months (0.28; 0.07–0.49). At 3 months, there was a large and significant effect size for motor-specific interventions (2.00; 0.28–3.72) but not generic interventions (0.33; –0.03 to –0.69). Studies were not excluded on the basis of quality; therefore, heterogeneity was significant and the random-effects model was used. LIMITATIONS: Incomplete or inconsistent reporting of outcome measures limited the data available for meta-analysis beyond 24 months. CONCLUSIONS: A positive intervention effect on motor skills appears to be present up to 24 months’ corrected age. There is some evidence at 3 months that interventions with specific motor components are most effective.