Clinic variation in glycaemic control for children with Type 1 diabetes in England and Wales:a population-based, multilevel analysis

AIM: To understand the scope for improving children's glycaemic outcomes by reducing variation between clinics and examine the role of insulin regimen and clinic characteristics. METHODS: Cross-sectional analysis of 2012-2013 National Paediatric Diabetes Audit data from 21 773 children aged < 19 years with Type 1 diabetes cared for at 176 clinics organized into 11 regional diabetes networks in England and Wales. Variation in HbA1c was explored by multilevel models with a random effect for clinic. The impact of clinic context was quantified by computing the per cent of total variation in HbA1c which occurs between clinics (intraclass correlation coefficient; ICC). RESULTS: Overall, 69 of the 176 diabetes clinics (39%) had a glycaemic performance that differed significantly from the national average after adjusting for patient case-mix with respect to age, gender, diabetes duration, deprivation and ethnicity. However, differences between clinics accounted for 4.7% of the total variation in HbA1c . Inclusion of within-clinic HbA1c standard deviation led to a substantial reduction in ICC to 2.4%. Insulin regimen, clinic volume and diabetes networks had a small or moderate impact on ICC. CONCLUSIONS: Differences between diabetes clinics accounted for only a small portion of the total variation in glycaemic control because most of the variation was within clinics. This implies that national glycaemic improvements might best be achieved not only by targeting poor centres but also by shifting the whole distribution of clinics to higher levels of quality

Determinants of Change in Physical Activity in Children 0-6 years of Age: A Systematic Review of Quantitative Literature.

Background Understanding the determinants of children’s health behaviours is important to develop successful behaviour-change interventions. Objective We aimed to synthesise the evidence around determinants (‘preceding predictors’) of change in physical activity (PA) in young children (0–6 years of age). Methods As part of a suite of reviews, prospective quantitative studies investigating change in physical activity in children aged 0–6 years were identified from eight databases (to October 2015): MEDLINE, Embase, CINAHL, PsycINFO, Web of Knowledge, British Nursing Index, Applied Social Sciences Index and Abstracts, and Sociological Abstracts. Determinants and direction of association were extracted, described and synthesised according to the socio-ecological model (individual, interpersonal, organisational, community, policy). Results Forty-four determinants, predominantly in the interpersonal and organisational domains, were reported across 44 papers (six prospective cohort, 38 interventional); 14 determinants were assessed in four or more papers. Parental monitoring showed a consistent positive association with change in PA; provider training was positively associated with change in children’s moderate-to-vigorous PA only. Five (sex, parental goal setting, social support, motor skill training and increased time for PA) showed no clear association. A further seven (child knowledge, parental knowledge, parental motivation, parenting skills, parental self-efficacy, curriculum materials and portable equipment) were consistently not associated with change in children’s PA. Maternal role-modelling was positively associated with change in PA in all three studies in which it was examined. Conclusions A range of studied determinants of change in young children’s PA were identified, but only parental monitoring was found to be consistently positively associated. More evidence dealing with community and policy domains from low-/middle-income countries and about lesser-explored modifiable family- and childcare-related determinants is required. International Prospective Register for Systematic Reviews (PROSPERO) Registration Number CRD42012002881. Electronic supplementary material The online version of this article (doi:10.1007/s40279-016-0656-0) contains supplementary material, which is available to authorized users

Predictors of glycemic control in the first year of diagnosis of childhood onset type 1 diabetes: A systematic review of quantitative evidence

Early glycemic control is associated with reduced future vascular complications risk in type 1 diabetes (T1D). The aim of this study was to systematically review evidence on the predictors of glycemic control within 12 months of diagnosis of childhood onset T1D. Inclusion criteria for the electronic search were: interventional and observational studies that assessed and quantified an association between the predictor and glycemic control within 12 months of diagnosis of childhood onset T1D. A total of 17 915 articles were identified from 6 databases and 20 studies were finally included in the analysis. Harvest plots and narrative synthesis were used to summarize data from intervention (n = 0), prospective/retrospective cohort (n = 15), and cross-sectional (n = 5) studies. Significant predictors of poorer glycemic control 0 to 3 months after diagnosis were older age and female gender. Non-white ethnicity, diabetes autoantibody positivity, measures of deprivation, and non-private health insurance were potential predictors. Predictors of poorer glycemic control 4 to 12 months after diagnosis were: older age, non-white ethnicity, a single parent family, high hemoglobin A1c (HbA1c) levels at diagnosis, longer T1D duration, and non-intensive insulin therapy. Potential predictors included: family with health issues, clinical factors, and comorbidities at diagnosis. Most significant predictors of poor glycemic control within 12 months of diagnosis of childhood onset T1D are non-modifiable. These factors need to be recognized and addressed through individualized and multidisciplinary diabetes care. Further research is required to confirm the association of potential predictors with early glycemic control

The association between early-life gut microbiota and childhood respiratory diseases: a systematic review

Data from animal models suggest a role of early-life gut microbiota in lung immune development, and in establishing susceptibility to respiratory infections and asthma in humans. This systematic review summarises the association between infant (ages 0-12 months) gut microbiota composition measured by genomic sequencing, and childhood (ages 0-18 years) respiratory diseases (ie, respiratory infections, wheezing, or asthma). Overall, there was evidence that low α-diversity and relative abundance of particular gut-commensal bacteria genera (Bifidobacterium, Faecalibacterium, Ruminococcus, and Roseburia) are associated with childhood respiratory diseases. However, results were inconsistent and studies had important limitations, including insufficient characterisation of bacterial taxa to species level, heterogeneous outcome definitions, residual confounding, and small sample sizes. Large longitudinal studies with stool sampling during the first month of life and shotgun metagenomic approaches to improve bacterial and fungal taxa resolution are needed. Standardising follow-up times and respiratory disease definitions and optimising causal statistical approaches might identify targets for primary prevention of childhood respiratory diseases

Effect of early glycemic control on HbA1c tracking and development of vascular complications after 5 years of childhood onset type 1 diabetes: Systematic review and meta-analysis.

OBJECTIVE: A systematic review and meta-analysis was conducted to investigate if glycemic control measured by glycated hemoglobin (HbA1c) levels near diagnosis are predictive of future glycemic outcomes and vascular complications in childhood onset type 1 diabetes (T1D). METHODS: Evidence was gathered using electronic databases (MEDLINE, EMBASE, Web of Science, CINAHL, Scopus, and Cochrane Library up to February 2017) and snowballing techniques. Studies investigating the association between the exposure "early glycemic control" and main outcome: "tracking of early control" and secondary outcome: risk of future complications; in children and young people aged 0 to 19 years at baseline; were systematically double-reviewed, quality assessed, and outcome data extracted for synthesis and meta-analysis. FINDINGS: Five studies (N = 4227 participants) were eligible. HbA1c levels were sub-optimal throughout the study period but tended to stabilize in a "track" by 6 months after T1D diagnosis. The group with low HbA1c <53 mmol/mol (<7%) at baseline had lower long-term HbA1c levels than the higher HbA1c group. The estimated standardized mean difference between the sub groups showed a reduction of HbA1c levels on average by 1.6% (range -0.95% to -2.28%) from baseline. Only one study investigated the association between early glycemic control and development of vascular complications in childhood onset T1D. INTERPRETATIONS: Glycemic control after the first few months of childhood onset T1D, remains stable but sub-optimal for a decade. The low and high HbA1c levels at baseline seem to "track" in their respective tracks during the 10-year follow-up, however, the initial difference between groups narrows over time. PROSPERO: CRD42015024546 http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42015024546

“That’s his choice not mine!” Parents’ perspectives on providing a packed lunch for their children in primary school

Objective: To examine factors influencing parents' selection of packed lunches over a school lunch, their choices in food preparation, and the role of children within these. Design: A qualitative approach using semistructured focus group and individual interviews. Setting: Four primary schools in a UK local authority. Participants: Twenty parents providing a packed lunch for their children (aged 5–11 years). Analysis: An inductive thematic approach was used to identify categories and themes. The researchers maintained rigor in the data analysis through internal discussion and review until consensus was reached. Results: Children emerged as active decision makers exerting substantial power particularly in the initial decision to have a packed lunch, and then in influencing the lunch's contents. The packed lunch could be a source of anxiety for some parents; however, ultimately parents' attitudes and perceptions revolved around the key requirement that the lunch was eaten. Providing a packed lunch was a means of achieving this. Conclusions: This study highlights children's growing authority over everyday food decisions. Further research is needed to explore children's perceptions of their role in food provision. The study's findings have implications for school food, nutrition education, and school-based interventions. Frameworks that look to improve children's nutrition in this area should reflect children's growing status as food decision makers and consider how this can be employed to support and sustain positive changes

The Effectiveness of Sedentary Behaviour Interventions for Reducing Body Mass Index in Children and Adolescents: Systematic Review and Meta-analysis

Intervention studies have been undertaken to reduce sedentary behaviour (SB) and thereby potentially ameliorate unhealthy weight gain in children and adolescents. We synthesised evidence and quantified the effects of SB interventions (single or multiple components) on body mass index (BMI) or BMI z-score in this population. Publications up to March 2015 were located through electronic searches. Inclusion criteria were interventions targeting SB in children that had a control group and objective measures of weight and height. Mean change in BMI or BMI z-score from baseline to post-intervention were quantified for intervention and control groups and meta-analyzed using a random effects model. The pooled mean reduction in BMI and BMI z-score was significant but very small (standardized mean difference = -0.060, 95% confidence interval: -0.098 to -0.022). However, the pooled estimate was substantially greater for an overweight or obese population (standardized mean difference = -0.255, 95% confidence interval: -0.400 to -0.109). Multicomponent interventions (SB and other behaviours) delivered to children from 5 to 12 years old in a non-educational setting appear to favour BMI reduction. In summary, SB interventions are associated with very small improvement in BMI in mixed-weight populations. However, SB interventions should be part of multicomponent interventions for treating obese children

Impact of early glycaemic control on later outcomes in childhood onset type 1 diabetes

Background: Children and adolescents with type 1 diabetes (T1D) diagnosis find it challenging to maintain good glycaemic control (measured by HbA1c). Poor glycaemic control is associated with complications. / Aims: To investigate: 1. The impact of early glycaemic control on long-term glycaemic outcomes in children and adolescents. 2. Predictors and trajectories of long-term HbA1c in childhood onset T1D. / Methods: 1) Systematic review (SR) of evidence using six databases, Review Manager 5 and Stata 15. Results were summarized narratively and through algorithms, forest and harvest plots. 2) Analyses of longitudinal data of children and adolescents, followed for 10 years from T1D diagnosis, at three diabetes clinics in London, UK. Mixed effects, growth curve and percentile reference ranges models with fractional polynomials were used to analyse data in Stata 15 and R. / Results: SR’s conducted with a total of 4227 participants from developed countries showed HbA1c levels rose soon after T1D diagnosis and remained sub-optimally stable for a decade. Early HbA1c levels were sub-optimal and tracked during the 10-year follow-up. The predictors of poorer glycaemic control varied according to time after diagnosis and were older age, female sex, non-white ethnicity, single parent family, non-private health insurance, higher HbA1c levels at diagnosis, longer T1D duration, and non-intensive insulin regimen. Analyses of longitudinal data showed the ‘remission’ or ‘honeymoon’ period ended at <3 months. HbA1c levels then settled into sub-optimal, long-term tracks. Three distinct, longitudinal classes of HbA1c trajectories were identified during the 10-year follow-up from diagnosis and class membership was associated with age at diagnosis, ethnicity and frequency of clinic visits. Percentile bands showing non-linear relationships with age and time were constructed. Risk factors for elevated HbA1c levels varied according to time from diagnosis and were : low pH (proxy for DKA), low BMI, insulin regimen, clinic site, year of diagnosis, higher HbA1c levels (at baseline and during 3-24 months after diagnosis) and non-white ethnicity. / PROSPERO registration: CRD42015024546 http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD4201502454