Carry M. Renders

Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children

Objective:TV viewing and computer use is associated with childhood overweight, but it remains unclear as to how these behaviours could best be targeted. The aim of this study was to determine to what extent the association between TV viewing, computer use and overweight is explained by other determinants of overweight, to find determinants of TV viewing and computer use in the home environment and to investigate competing activities.Method:A cross-sectional study was carried out among 4072 children aged 4–13 years in the city of Zwolle, the Netherlands. Data collection consisted of measured height, weight and waist circumference, and a parental questionnaire on socio-demographic characteristics, childs nutrition, physical activity (PA) and sedentary behaviour. Associations were studied with logistic regression analyses, for older and younger children, boys and girls separately.Results:The odds ratio (OR) of being overweight was 1.70 (95% confidence interval (CI): 1.07–2.72) for viewing TV >1.5 h among 4- to 8-year-old children adjusted for all potential confounders. Computer use was not significantly associated with overweight. Determinants of TV viewing were as follows: having >2 TVs in the household (OR: 2.38; 95% CI: 1.66–3.41), a TV in the childs bedroom and not having rules on TV viewing. TV viewing and computer use were both associated with shorter sleep duration and not with less PA.Conclusion:Association between TV viewing and overweight is not explained by socio-demographic variables, drinking sugared drinks and eating snacks. Factors in the home environment influence childrens TV viewing. Parents have a central role as they determine the number of TVs, rules and also their childrens bedtime. Therefore, interventions to reduce screen time should support parents in making home environmental changes, especially when the children are young.

Quality of care for patients with Type 2 diabetes mellitus—a long‐term comparison of two quality improvement programmes in the Netherlands

Aim  To compare two intervention programmes, aimed at improving the quality of care provided for patients with Type 2 diabetes in the longer term.

High cardiovascular risk in severely obese young children and adolescents

Objective To assess the prevalence of cardiovascular risk factors in severely obese children and adolescents. Methods A nationwide prospective surveillance study was carried out from July 2005 to July 2007 where paediatricians were asked to report all new cases of severe obesity in 2–18-year-old children to the Dutch Paediatric Surveillance Unit. Severe obesity is defined by gender and age-dependent cut-off points for body mass index based on Dutch National Growth Studies corresponding to the adult cut-off point of 35 kg/m2. Paediatricians were asked to complete a questionnaire for every severely obese child regarding socio-demographic characteristics and cardiovascular risk factors (blood pressure, fasting blood glucose and lipids). Results In 2005, 2006 and 2007, 94%, 87% and 87%, respectively, of paediatricians in the Netherlands responded to the monthly request from the Dutch Paediatric Surveillance Unit and 500 children with newly diagnosed severe obesity were reported. 72.6% (n=363) of paediatricians responded to a subsequent questionnaire. Cardiovascular risk factor data were available in 255/307 (83%) children who were correctly classified as severely obese. 67% had at least one cardiovascular risk factor (56% hypertension, 14% high blood glucose, 0.7% type 2 diabetes and up to 54% low HDL-cholesterol). Remarkably, 62% of severely obese children aged ≤12 years already had one or more cardiovascular risk factors. Conclusion A high number (2/3) of severely obese children have cardiovascular risk factors. Internationally accepted criteria for defining severe obesity and guidelines for early detection and treatment of severe obesity and comorbidity are urgently needed.

Body size and growth in 0- to 4-year-old children and the relation to body size in primary school age

Excess weight in early life is believed to increase susceptibility to obesity, and in support of such theory, excess weight and fast weight gain in early childhood have been related to overweight later in life. The aim of this study was to review the literature on body size and growth in 0‐ to 4‐year‐old children and the association with body size at age 5–13 years. In total, 43 observational studies on body size and/or growth were included, of which 24 studies had been published in 2005 or later. Twenty‐one studies considered body size at baseline, and 31 studies considered growth which all included assessment of weight gain. Eight (38%) studies on body size, and 15 (48%) on weight gain were evaluated as high‐quality studies. Our results support conclusions in previous reviews of a positive association between body size and weight gain in early childhood, and subsequent body size. Body size at 5–6 months of age and later and weight gain at 0–2 years of age were consistently positively associated with high subsequent body size. Results in this review were mainly based on studies from developed Western countries, but seven studies from developing countries showed similar results to those from developed countries.

Association between sleep duration and overweight: the importance of parenting

Objective:Sleep duration has been related to overweight in children, but determinants of sleep duration are unclear. The aims were to investigate the association between sleep duration and childhood overweight adjusted for family characteristics and unhealthy behaviours, to explore determinants of sleep duration and to determine with sleep competing activities.Method:A cross-sectional study was carried out in 2006 among 4072 children aged 4–13 years in the city of Zwolle, The Netherlands. In these children, data were available on measured height, weight and waist circumference, and from a parental questionnaire, on socio-demographic characteristics, child’s sleep duration, nutrition, physical activity and sedentary behaviour. Associations were studied in 2011 using logistic and linear regression analyses, adjusted for potential confounders.Results:Short sleep duration was associated with overweight for 4–8-year-old boys (odds ratio (OR):3.10; 95% confidence interval (CI):1.15–8.40), 9–13-year-old boys (OR:4.96; 95% CI:1.35–18.16) and 9–13-year-old girls (OR:4.86; 95% CI:1.59–14.88). Among 4–8-year-old girls no statistically significant association was found. Determinants for short sleep duration were viewing television during a meal, permission to have candy without asking, not being active with their caregiver and a late bedtime. For all children, short sleep duration was strongly associated with more television viewing and computer use.Conclusions:Association between sleep duration and overweight is not explained by socio-demographic variables, drinking sugared drinks and eating snacks. Parents have a key role in stimulating optimal sleep duration. Improving parenting skills and knowledge to offer children more structure, and possibly with that, increase sleeping hours, may be promising in prevention of overweight.

Behavioral risk factors for overweight in early childhood; the ‘Be active, eat right’ study

BackgroundThe lifestyle-related behaviors having breakfast, drinking sweet beverages, playing outside and watching TV have been indicated to have an association with childhood overweight, but research among young children (below 6 years old) is limited. The aim of the present study was to assess the associations between these four behaviors and overweight among young children.MethodsThis cross-sectional study used baseline data on 5-year-old children (n = 7505) collected for the study ‘Be active, eat right’. Age and sex-specific cut-off points for body mass index of the International Obesity Task Force were used to assess overweight/obesity. Multivariable logistic regression analyses were applied.ResultsFor children whom had breakfast <7 days/week and watched TV >2 hours/day, the odds ratio (OR) for having overweight (obesity included) was, respectively, 1.49 (95% confidence interval (CI): 1.13-1.95), and 1.25 (95% CI: 1.03-1.51). There was a positive association between the number of risk behaviors present and the risk for having overweight. For children with 3 or all of the risk behaviors having breakfast <7 days/week, drinking sweet beverages >2 glasses/day, playing outside <1 h/day, watching TV >2 hs/day, the OR for overweight was 1.73 (95% CI: 1.11-2.71) (all models adjusted for children’s sex and sociodemographic characteristics).ConclusionGiven the positive association between the number of behavioral risk factors and overweight, further studies are needed to evaluate the effectiveness of behavioral counseling of parents of toddlers in preventing childhood overweight. In the meantime we recommend physicians to target all four behaviors for counseling during well-child visits.

Population-Based Childhood Overweight Prevention: Outcomes of the 'Be Active, Eat Right' Study

Objective An overweight prevention protocol was used in the ‘Be active, eat right’ study; parents of overweight children (5 years) were offered healthy lifestyle counseling by youth health care professionals. Effects of the protocol on child BMI and waist circumference at age 7 years were evaluated. Methods A cluster RCT was conducted among nine youth health care centers in the Netherlands. Parents of overweight, not obese, children received lifestyle counseling and motivational interviewing according to the overweight prevention protocol in the intervention condition (n = 349) and usual care in the control condition (n = 288). Measurements were made of child height, weight and waist circumference at baseline and at a two-year follow-up; parents completed questionnaires regarding demographic characteristics. Linear mixed models were applied; interaction terms were explored. Results The analyzed population consisted of 38.1% boys; mean age 5.7 [sd: 0.4] years; mean BMI 18.1 [sd: 0.6], the median number of counseling sessions in the intervention condition was 2. The regression model showed no significant difference in BMI increase between the research conditions at follow-up (beta −0.16; 95% CI:−0.60 to 0.27; p = 0.463). There was a significant interaction between baseline BMI and research condition; children with a baseline BMI of 17.25 and 17.50 had a smaller increase in BMI at follow-up when allocated to the intervention condition compared to control condition (estimated adjusted mean difference −0.67 [se: 0.30] and −0.52 [se: 0.36]). Conclusion Mildly overweight children (baseline BMI 17.25 and 17.50) in the intervention condition showed a significantly smaller increase in BMI at follow-up compared to the control condition; there was no overall difference between intervention and control condition. Future research may explore and evaluate improvements of the prevention protocol. Trial Registration Current Controlled Trials ISRCTN04965410

The Terneuzen Birth Cohort: BMI Change between 2 and 6 Years Is Most Predictive of Adult Cardiometabolic Risk

Background We recently reported the age interval 2–6y being the earliest and most critical for adult overweight. We now aim to determine which age intervals are predictive of cardiometabolic risk at young adulthood. Methods and Findings We analyzed data from 642 18–28 years olds from the Terneuzen Birth Cohort. Individual BMI SDS trajectories were fitted by a piecewise linear model. By multiple regression analyses relationships were assessed between subsequent conditional BMI SDS changes and components of the metabolic syndrome (MetS), skinfold thickness and hsCRP at young adulthood. Results were adjusted for gender and age, and other confounders. Gender was studied as an effect modifier. All BMI SDS changes throughout childhood were related to waist circumference and skinfold thickness. No other significant relationship was found before the age of 2 years, except between the BMI SDS change 0–1y and hsCRP. Fasting blood glucose was not predicted by any BMI SDS change. BMI SDS change 2–6y was strongly related to most outcome variables, especially to waist circumference (ß 0.47, SE 0.02), systolic and diastolic blood pressure (ß 0.20 SE 0.04 and ß 0.19 SE 0.03), and hsCRP (ß 0.16 SE 0.04). The BMI SDS change 10–18y was most strongly related to HDL cholesterol (ß -0.10, SE 0.03), and triglycerides (ß 0.21, SE 0.03). To a lesser degree, the BMI SDS change 6–10y was related to most outcome variables. BMI SDS changes 2–6y and 10–18y were significantly related to MetS: the OR was respectively 3.39 (95%CI 2.33–4.94) and 2.84 (95%CI 1.94–4.15). Conclusion BMI SDS changes from 2y onwards were related to cardiometabolic risk at young adulthood, the age interval 2–6y being the most predictive. Monitoring and stabilizing the BMI SDS of children as young as 2–6y may not only reverse the progression towards adult overweight, but it may also safeguard cardiometabolic status.

Tackling the problem of overweight and obesity: the Dutch approach.

Objective: The aim of this article is to share the Dutch experience of a nation-wide approach to reduce the prevalence of overweight and obesity. This is an practice example of national health policy. Methods: The Ministry of Health facilitates three complementary initiatives to tackle overweight and obesity: i) the Knowledge Centre Overweight (KCO) (since 2002) to enhance knowledge about prevention and treatment of overweight, ii) the Covenant on Overweight (CO) (since 2005), a public-private partnership, iii) the Partnership Overweight Netherlands (PON) (since 2008), to facilitate the development and implementation of a chronic disease management model. Results: The KCO has a platform with 20 partners that functions as a sounding board. It consists of specialists in the area of overweight and obesity. Moreover KCO has a well-visited website: www.overgewicht.org. The CO with 20 partners from the (local) government, private and public sector has instigated various activities regarding the settings home, school, work, and recreation. The PON has the commitment of 18 partners (organisations of health care providers, health insurance companies and patient organisations) and facilitates the implementation of the national clinical guideline for the diagnosis and treatment of obesity. Conclusion: In the Netherlands relevant stakeholders work together at all levels. The ambition is to make this the first integrated, practice-and evidence-based, national approach for tackling overweight and obesity.

Type 2 diabetes in children in the Netherlands: The need for diagnostic protocols

OBJECTIVE The worldwide trend towards obesity in childhood is also observed in the Netherlands and one of the consequences may be type 2 diabetes. In this study, we assessed the number of children with type 2 diabetes, diagnosed by paediatricians, in the Netherlands. METHODS In 2003 and 2004 the Dutch Paediatric Surveillance Unit, a nationwide paediatric register, was used to assess new cases of diabetes mellitus. Data on socio-demographic and clinical characteristics were collected by means of a questionnaire. A second questionnaire was sent to the reporting paediatrician if the diagnosis was inconclusive or if the diagnosis was type 1 diabetes in combination with overweight or obesity, according to international criteria. RESULTS During the 24 months of registration, the paediatricians reported 1142 new cases of diabetes, 943 of which were eligible for analysis. Initially, 14 patients (1.5%) were reported with type 2 diabetes. Only seven of these patients were classified as type 2 diabetes according to the ADA criteria, as information on C-peptides or antibodies was often missing. Based on clinical characteristics, the other seven patients were very likely to have type 2 diabetes. After the second questionnaire, six more patients met the ADA criteria and two were very likely to have type 2 diabetes. Most of the patients were female (95%), 14% were of Turkish and 18% of Moroccan origin. CONCLUSION This study shows a discrepancy between the number of patients with type 2 diabetes diagnosed by paediatricians in daily practice and diagnosed according to the ADA criteria. Moreover, a considerable amount of reported patients were misclassified. Finally, 2.4% patients were classified as (very likely) type 2 diabetes. The development of programmes and protocols for prevention, diagnosis and classification applicable in daily practice is warranted.