A high-precision protocol for identification of preschool children at risk for persisting obesity

A decade of improved glycemic control in young children with type 1 diabetes: A population-based cohort study

BACKGROUND

Early-onset type 1 diabetes (T1D) is associated with high risk of early cardiovascular complications and premature death. The strongest modifiable risk factor is HbA1c. Other modifiable factors, such as overweight, also increase the risk of complications. During the last decade, the introduction of continuous glucose monitoring (CGM) has offered new options in the treatment of T1D.

OBJECTIVE

To compare treatment outcomes in children younger than 7 years with T1D in Sweden in two separate cohorts: one in 2008 and one in 2018.

METHODS

All children in the national pediatric diabetes registry (SWEDIABKIDS) younger than 7 years with T1D were included. Data from 2008 and 2018 were analyzed.

RESULTS

Data were available on 666 children (45% girls) in 2008 and 779 children (45% girls) in 2018. Mean age was 5.6 (1.4) versus 5.5 (1.4) years and mean diabetes duration 2.3 (1.4) versus 2.2 (1.4) years. The use of CGM increased from 0% to 98% and the use of an insulin pump from 40% in 2008 to 82% (p < 0.01)in 2018.Mean HbA1c was 58 mmol/mol (7.4%) in 2008 and 50 mmol/mol (6.7%) in 2018 (p < 0.01). The frequency of overweight and obesity was the same in 2008 and 2018(26% vs. 29%).

CONCLUSION

During this decade, usage of CGM and insulin pump increased and HbA1c decreased. However, HbA1c remained higher than the physiological level and thus continued to represent a cardiovascular risk, especially in combination with overweight or obesity. The frequency of overweight and obesity remained unchanged.

Who is responsible for assessing children's weight status? - a qualitative study of health professionals in regional Australia

Background

Currently in Australia there is a lack of clarity regarding routine assessment of primary school aged children’s weight status despite it being the first step in the identification of overweight and obesity. The National Health and Medical Research Council Obesity Guidelines recommend primary health care professionals include routine weight status assessment in consultations with children yet research suggests this rarely occurs in practice.

This study aimed to determine the views of primary health care professionals regarding routine weight status assessment in primary school aged children and to establish the barriers to assessing children’s weight status.

Methods

Using the case study of a regional town, Rockhampton, purposeful sampling was used to represent the key primary health care settings and professional groups. Interviews were conducted with 31 health professionals. Data were collected and analysed guided by two frameworks, the Capability, Opportunity, Motivation and Behaviour and Theoretical Domains Frameworks.

Results

Eight themes emerged from data and these were relevant to the three levels of influence on the routine weight status of assessment, system, setting and individual. System level themes related to having a formalised program for the undertaking of routine weight status assessment in primary school aged children, increasing the population’s awareness about the importance of the weight status check and limited public health services available for management of childhood overweight and obesity. Setting level theme regarded the location where routine weight status in primary school aged children could be undertaken. Four themes at the individual level of influence on the routine weight status assessment related to the primary health professionals’ roles, barriers to assessing children’s weight status, methods of weight status assessment and starting a weight related conversations with families.

Conclusion

The Government, primary health care services, professional organisations and associations as well as health professionals must commit to long-term implementation of the Obesity Guidelines. Immediate action to improve the undertaking of routine weight status assessment in children must be taken by each health service and health professional. Strategies should aim to positively affect motivation to assess children’s weight status as it is the central component in creating change in practice.

How is children's weight status assessed for early identification of overweight and obesity? - Narrative review of programs for weight status assessment

Assessment of a child's weight status is the first step in the management of childhood overweight and obesity. We reviewed routine assessment programs to inform early and routine identification of childhood overweight and obesity to address this global health issue. Twelve electronic databases were searched (Scopus, Web of Science, Wiley, ScienceDirect, PsycINFO, PsycARTICLES, PsycEXTRA, CINAHL, Primary Search, MEDLINE, ERIC, Academic Search Elite) for universal programs for weight status assessment of children aged 4-12 in Organization for Economic Co-operation and Development - countries, which included more than one assessment and parents receiving feedback. Of 1638 papers found via database searches, and 18 additional records identified through other sources, 26 were included. Reference to five countries' programs for weight status assessment was found in the results: Australia, Sweden, the Netherlands, the United Kingdom and the United States. All of these programs were implemented in a school setting. Lack of services, stakeholder collaboration, parental awareness and engagement and government funding need to be improved for this health check to be undertaken as a part of an ongoing program. This review is about the implementation of similar programs. Early identification of risk for overweight and obesity allows families that require help to connect with available health services.

Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review

OBJECTIVE

To determine the global availability of a multicomponent tool predicting overweight/obesity in infancy, childhood, adolescence or adulthood; and to compare their predictive validity and clinical relevance.Design/SettingThe PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. The databases PubMed, EMBASE, CINAHL, Web of Science and PsycINFO were searched. Additional articles were identified via reference lists of included articles. Risk of bias was assessed using the Academy of Nutrition and Dietetics' Quality Criteria Checklist. The National Health and Medical Research Council's Levels of Evidence hierarchy was used to assess quality of evidence. Predictive performance was evaluated using the ABCD framework.

SUBJECTS

Eligible studies: tool could be administered at any life stage; quantified the risk of overweight/obesity onset; used more than one predictor variable; and reported appropriate prediction statistical outcomes.

RESULTS

Of the initial 4490 articles identified, twelve articles (describing twelve tools) were included. Most tools aimed to predict overweight and/or obesity within childhood (age 2-12 years). Predictive accuracy of tools was consistently adequate; however, the predictive validity of most tools was questioned secondary to poor methodology and statistical reporting. Globally, five tools were developed for dissemination into clinical practice, but no tools were tested within a clinical setting.

CONCLUSIONS

To our knowledge, a clinically relevant and highly predictive overweight/obesity prediction tool is yet to be developed. Clinicians can, however, act now to identify the strongest predictors of future overweight/obesity. Further research is necessary to optimise the predictive strength and clinical applicability of such a tool.

A web- and mobile phone-based intervention to prevent obesity in 4-year-olds (MINISTOP): a population-based randomized controlled trial

BACKGROUND

Childhood obesity is an increasing health problem globally. Overweight and obesity may be established as early as 2-5 years of age, highlighting the need for evidence-based effective prevention and treatment programs early in life. In adults, mobile phone based interventions for weight management (mHealth) have demonstrated positive effects on body mass, however, their use in child populations has yet to be examined. The aim of this paper is to report the study design and methodology of the MINSTOP (Mobile-based Intervention Intended to Stop Obesity in Preschoolers) trial.

METHODS/DESIGN

A two-arm, parallel design randomized controlled trial in 300 healthy Swedish 4-year-olds is conducted. After baseline measures, parents are allocated to either an intervention- or control group. The 6- month mHealth intervention consists of a web-based application (the MINSTOP app) to help parents promote healthy eating and physical activity in children. MINISTOP is based on the Social Cognitive Theory and involves the delivery of a comprehensive, personalized program of information and text messages based on existing guidelines for a healthy diet and active lifestyle in pre-school children. Parents also register physical activity and intakes of candy, soft drinks, vegetables as well as fruits of their child and receive feedback through the application. Primary outcomes include body fatness and energy intake, while secondary outcomes are time spent in sedentary, moderate, and vigorous physical activity, physical fitness and intakes of fruits and vegetables, snacks, soft drinks and candy. Food and energy intake (Tool for Energy balance in Children, TECH), body fatness (pediatric option for BodPod), physical activity (Actigraph wGT3x-BT) and physical fitness (the PREFIT battery of five fitness tests) are measured at baseline, after the intervention (six months after baseline) and at follow-up (12 months after baseline).

DISCUSSION

This novel study will evaluate the effectiveness of a mHealth program for mitigating gain in body fatness among 4-year-old children. If the intervention proves effective it has great potential to be implemented in child-health care to counteract childhood overweight and obesity.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02021786 ; 20 Dec 2013.

Overweight and obesity in twenty-year-old Swedes in relation to birthweight and weight development during childhood

AIM

To describe the frequency of overweight and obesity from birth to 20 years of age and analyse weight at 20 years of age in relation to weight and weight development during early childhood and adolescence.

METHODS

A longitudinal, population-based study, which followed 496 children from birth to 20 years of age. Information about weight and height was collected from health records at child health centres and school health care. At 20 years of age, weight and height measurements were taken by one of the authors.

RESULTS

At 20 years of age, 124 (25%) of the youth were obese or overweight. Of these youths, 60% had normal weight at 5.5 years. Of the teenagers who were overweight/obese at 15 years, 79% remained overweight/obese at 20 years of age. Out of the 124 overweight/obese at 20, 47% had normal weight at 15 years. [Corrections added after online publication on April 18, 2012: 'Out of the 124 obese at 20' has been changed to 'Out of the 124 overweight/obese at 20']. No relation was found between rapid weight gain during preschool age and overweight and obesity in 20-year-olds.

CONCLUSIONS

The majority of those who were overweight/obese at 20 years of age were recruited after 5.5 years of age, and half of them in their late teens. Thus, during the preschool period, the entire population should be the target of primary prevention from overweight/obesity and, in the case of teenagers, prevention strategies should be developed for the whole population as well as treatment strategies for teenagers with established overweight/obesity.

Importance of age for 3-year continuous behavioral obesity treatment success and dropout rate

OBJECTIVE

To assess whether first year weight loss, age, and socioeconomic background correlate with the success rate of continuous long-term behavioral obesity treatment.

METHODS

In a 3-year longitudinal study, obese children (n = 684) were divided into three groups based on age at the start of treatment, age 6-9 years, 10-13 years, and 14-16 years.

RESULTS

The mean BMI standard deviation score (BMI-SDS) decline was age-dependent (p = 0.001), independently of adjustment for missing data: -1.8 BMI-SDS units in the youngest, -1.3 in the middle age group, and -0.5 in the oldest age group. SES and parental BMI status did not affect the results. 30% of the adolescents remained in treatment at year 3. There was only a weak correlation between BMI-SDS change after 1 and 3 years: r = 0.51 (p < 0.001). Among children with no BMI-SDS reduction during year 1 (n = 46), 40% had a clinically significantly reduced BMI-SDS after year 3.

CONCLUSION

Behavioral treatment should be initiated at an early age to increase the chance for good results. Childhood obesity treatment should be continued for at least 3 years, regardless of the initial change in BMI-SDS.

Prediction of obesity from infancy to adolescence

AIM

To examine the development of childhood obesity and to determine the earliest age when estimating body mass using only weight and height data is associated with a corresponding estimate at the age of 15.

METHODS

Subjects included are all children born in 1991 in Östergötland County, Sweden. Weight and height data collected during regular check-ups at well-child centres and school health care assessments up to 15 years of age were assembled from health records. Correlations between childhood estimates of body mass and the body mass index (BMI) at 15 years of age were computed pairwise. Correlations with r > 0.5 were defined as reliably strong.

RESULTS

Complete data were available for 3579 children (62%). Fewer girls (2.6%; C.I. 1.9-3.3) than boys (4.6%; C.I. 3.7-5.5) were obese at 15 years of age. Correlations with BMI at 15 years of age were strong (significantly higher than 0.5) from 5 years of age. Only 23% of girls and 8% of boys found to be obese at 5 years of age were of normal weight at the age of 15.

CONCLUSION

From 5 years of age, point estimates of body mass using only weight and height data are strongly associated with BMI at the age of 15. More data sources are needed to predict weight trajectories in younger children.

Age-related patterns of anthropometric characteristics in young wrestlers

PURPOSE

The purpose of the present study was to compare the age-related patterns of anthropometric characteristics in young wrestlers (8-13 yr) to those of a national representative sample of boys the same age.

METHODS

Two hundred and fifty-three young wrestlers (X age +/- SD, 11.1 +/- 1.6 yr; height (HT), 145.5 +/- 11.4 cm; body weight (BW), 40.7 +/- 10.9 kg) volunteered as subjects in the present study. The sample of young wrestlers was divided into six independent age groups: age group 8 (AG8), 8.00-8.99 yr (n = 27); AG9, 9.00-9.99 yr (n = 43); AG10, 10.00-10.99 yr (n = 50); AG11, 11.00-11.99 yr (n = 45); AG12, 12.00-12.99 yr (n = 56); and AG13, 13.00-13.99 yr (n = 32). Nine variables including BW, HT, body mass index (BMI), subscapular and triceps skinfolds, waist, midarm, maximal calf, and midthigh circumferences were assessed on each subject.

RESULTS

The results showed that there was only one (midthigh circumference) difference between the young wrestlers and the national sample for yearly changes in the anthropometric dimensions.

DISCUSSION

These findings indicated that participation in age group wrestling was not associated with age-related patterns of anthropometric characteristics that were different from those of a national representative sample of boys the same age.