Background and objectivesGrowth reference charts are usually based on measurements of children free from a medical condition that affects growth. However, samples collected during the past decades ...often contain a large proportion of overweight or obese children. Because obesity increases linear growth, the question arises to what extent the percentiles curves for length/height are affected by the presence of children with overweight or obesity.MethodsData from two cross-sectional samples of 2-year-old to 18-year-old children were analysed: 12 252 Belgian children, measured in 2002–2004, and 6159 Norwegian children, measured in 2003–2006. The LMS method was used to estimate height-for-age curves with and without children considered overweight or obese according to the International Obesity Task Force thresholds.ResultsThe prevalence of overweight (including obesity) and obesity was 13.0% and 2.8% in the Belgian and 13.8% and 2.3% in the Norwegian sample. Children were taller when overweight (+0.49 and 0.43 SD, in the Belgian and Norwegian sample, respectively) or obese (+0.73 and 0.72 SD in the Belgian and Norwegian sample, respectively). Effect sizes were smaller in younger and older children, which points to an advanced age of maturation as a possible cause. Excluding overweight and obese children had only a minor impact on the growth curves with largest difference in mean height SD scores −0.09 in the Belgian and −0.12 in the Norwegian sample with a corresponding increase of up to 0.5% and 1.2% in number of children >+2 SD.ConclusionsCurrent Belgian and Norwegian growth references for length/height were found to be largely unaffected by the current proportion of overweight and obese children. There is, therefore, no need for revised height charts that exclude overweight or obese children.
Aim: The aim was to determine the prevalence of overweight and obesity among 6‐year‐old children in Finnmark, the northernmost county of Norway.
Methods: This is a survey of 1774 children born ...during 1999 and 2000 from 18 of 19 child healthcare centres in Finnmark. Body mass index data extracted retrospectively in 2007 from health records at the age of 6 years were compared with international definitions of over‐ and underweight. The prevalence figures were further compared with socio‐demographic figures on municipality level.
Results: Overall, 19% of the children were classified as overweight or obese; 5% were classified as obese. The prevalence of overweight and obesity was higher among girls (22%) than among boys (16%) (p < 0.01). The prevalence of underweight was 8% among both girls and boys. Despite large variations in the prevalence of overweight and obesity between municipalities (9–35%), no association was found with municipality figures on socio‐demographic factors.
Conclusion: In the northernmost county Finnmark, the prevalence of overweight including obesity among 6‐year‐old children was somewhat higher than in previous surveys from Norway, especially among girls.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Summary
To compare the effectiveness of family‐based behavioural social facilitation treatment (FBSFT) versus treatment as usual (TAU) in children with severe obesity. Parallel‐design, nonblinded, ...randomized controlled trial conducted at a Norwegian obesity outpatient clinic. Children aged 6–18 years referred to the clinic between 2014 and 2018 were invited to participate. Participants were randomly allocated using sequentially numbered, opaqued, sealed envelopes. FBSFT (n = 59) entailed 17 sessions of structured cognitive behavioural treatment, TAU (n = 55) entailed standard lifestyle counselling sessions every third month for 1 year. Primary outcomes included changes in body mass index standard deviation score (BMI SDS) and percentage above the International Obesity Task Force cut‐off for overweight (%IOTF‐25). Secondary outcomes included changes in sleep, physical activity, and eating behaviour. From pre‐ to posttreatment there was a statistically significant difference in change in both BMI SDS (0.19 units, 95% confidence interval CI: 0.10–0.28, p < .001) and %IOTF‐25 (5.48%, 95%CI: 2.74–8.22, p < .001) between FBSFT and TAU groups. FBSFT participants achieved significant reductions in mean BMI SDS (0.16 units, (95%CI: −0.22 to −0.10, p < .001) and %IOTF‐25 (6.53%, 95% CI: −8.45 to −4.60, p < .001), whereas in TAU nonsignificant changes were observed in BMI SDS (0.03 units, 95% CI: −0.03 to 0.09, p = .30) and %IOTF‐25 (−1.04%, 95% CI: −2.99 to −0.90, p = .29). More FBSFT participants (31.5%) had clinically meaningful BMI SDS reductions of ≥0.25 from pre‐ to posttreatment than in TAU (13.0%, p = .021). Regarding secondary outcomes, only changes in sleep timing differed significantly between groups. FBSFT improved weight‐related outcomes compared to TAU.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Aim: The aim of this study was to estimate the prevalence of childhood overweight and obesity and to identify socio‐demographic risk factors in Norwegian children.
Methods: The body mass index of ...6386 children aged 2–19 years was compared with the International Obesity Task Force (IOTF) cut‐off values to estimate the prevalence of overweight including obesity (OWOB) and obesity (OB). The effect of socio‐demographic factors on this prevalence was analysed using multiple ordinal logistic regression analysis in a subsample of 3793 children.
Results: The overall prevalence of OWOB was 13.8% (13.2% in boys and 14.5% in girls, p = 0.146), but the prevalence was higher in primary school children aged 6–11 years (17%, p < 0.001). The risk of being OWOB or OB increased in children with fever siblings (p = 0.003) and with lower parental educational level (p = 0.001). There was no association with parental employment status, single‐parent families or origin.
Conclusion: The prevalence of OWOB and OB in Norwegian primary school children is of concern. Socio‐demographic factors have pronounced effects on the current prevalence of overweight and obesity in a cohort of Norwegian children. This knowledge could help to work out strategies to reduce the burden of overweight and obesity in children.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Aims: To compare the parental perception of overweight and underweight in their children to objective criteria, based on body mass index (BMI), waist circumference and triceps skinfold thickness, ...and to explore the effects of potential determinants.
Methods: Logistic regression of anthropometric measurements, socio‐demographic characteristics and self‐reported parental height and weight on the parental perception of their child’s weight status in 3770 children aged 2–19.
Results: Seventy per cent of overweight/obese children and 40.8% of underweight children were perceived having normal weight by parents. In 2‐ to 5‐year‐old overweight children, 91.2% were considered to have normal weight. For a given BMI, primary school age children, adolescents and girls had a higher probability to be assigned as overweight, whereas adolescents and girls had a lower probability to be assigned as underweight. Overweight parents more readily assigned their children as underweight, but there was no effect of parental educational level or parental underweight.
Conclusion: Parental ability to recognize overweight or underweight in their offspring was generally poor. The findings emphasize the need for objective criteria based on physical measurements in the routine follow up of children, as parental ability to recognize weight problems in their children is nonreliable.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Obesity during adolescence is associated with cardiovascular mortality in adulthood. The adverse obesity-related cardiometabolic risk profile is already observed in adolescence. We aimed to examine ...possible gender differences in cardiometabolic risk factors and lifestyle behaviors among adolescents with severe obesity, hypothesizing that boys would have both a higher prevalence of the metabolic syndrome as well as less healthy lifestyle behaviors than girls.
Cross-sectional study of treatment-seeking adolescents with severe obesity who attended the Morbid Obesity Centre at Vestfold Hospital Trust and who were consecutively enrolled in the Vestfold Register of Obese Children between September 2009 and September 2015. A total of 313 adolescents aged 12 to 18 years were recruited, whereof 268 subjects (49% boys) completed a food and activity frequency questionnaire and were included in the analysis.
Mean (SD) age, BMI and BMI SDS were 15 (1.6) years, 38.6 (5.9) kg/m
and 3.5 (0.6). Levels of LDL cholesterol, fasting insulin and glucose and diastolic blood pressure (DBP) did not differ between genders. Compared to girls, boys had significantly higher triglycerides (p = 0.037) and systolic blood pressure (SBP) (p = 0.003), as well as lower HDL cholesterol (p = 0.002). The metabolic syndrome was present in 27% of the boys and 19% of the girls (p = 0.140), and the prevalence of high DBP, dyslipidemia and dysglycemia also did not differ significantly between genders. The prevalence of high SBP was higher in boys than in girls (19% vs. 9%, p = 0.021). Gender was associated with a number of lifestyle habits, as a larger proportions of boys had higher screen time (p = 0.032), more regular breakfast eating (p = 0.023), higher intake of sugar sweetened soda (p = 0.036), and lower intake of vegetables than girls (p = 0.011). By contrast, physical activity level and intake of fruit and berries did not differ between genders.
Male treatment-seeking adolescents with severe obesity had a more unfavorable set of metabolic and behavioral risk factors for cardiovascular disease than girls. Our results indicate that lifestyle behavioral markers should be thoroughly assessed in both genders, and possible gender-related differences in risk profile should be taken into account in future treatment programs.
Aim: The aim of this study was to describe first‐year growth among very low birth weight infants and the effect of growth restriction at hospital discharge on first year growth.
Method: ...Anthropometric measures and background information for 118 very low birth weight infants were collected from medical records. Z‐scores were calculated based on recent Norwegian growth references.
Results: Significant catch‐up growth for weight and length was observed during the first year with mean z‐score change (SD) of 0.40 (1.05) and 1.01 (1.25) respectively. However, the very low birth weight infants remained lighter and shorter than full‐term peers until 12 months corrected age with mean z‐score of −0.93 (1.09) and −0.48 (1.06) respectively. Head circumference followed a normal growth pattern after 2 months. Infants discharged from hospital as growth restricted had increased catch‐up in weight and length, but remained smaller than infants not subjected to early growth restriction and full‐term peers. Multiple regression showed that weight below the 10th percentile at discharge is important for weight and length during the first year of life.
Conclusion: Very low birth weight infants showed catch‐up growth during the first year, but their weight and length remained less than full‐term peers. Growth deficiencies were more pronounced among infants subjected to early growth restriction, despite increased catch‐up growth.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Aim
To analyse the effect of lifestyle factors on the prevalence of overweight and obesity in 6–15‐year‐old Norwegian children.
Methods
Questionnaire data on lifestyle factors (sedentary behaviour, ...activity and eating habits) and prevalence numbers of overweight and obesity based on measured height and weight were analysed using multinomial logistic regression in a sample of 2281 children included in the Bergen Growth Study.
Results
More screen time increased the risk of overweight (odds ratio (OR): 1.25; p = 0.02) and obesity (OR: 1.12; p = 0.02) as did the presence of a TV in the child's bedroom (OR: 1.26 (overweight), OR: 1.81 (obese); p = 0.04). The obese children reported less sugar intake than the not overweight children (OR: 0.58; p = 0.01). Higher parental education was associated with less screen time (p = 0.02), lower frequency of TV in the child's bedroom (p = 0.001), more sports (p = 0.005), as well as eating more fruit and vegetables, less sweets, soft drinks and fast food, and more regular meals (for all, p < 0.03).
Conclusion
Indicators of sedentary lifestyle, such as screen time and the presence of a TV in the child's bedroom, were associated with overweight and obesity in Norwegian schoolchildren. Higher parental education was generally associated with less obesogenic lifestyle.
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Aim
We analysed the distribution of the body mass index standard deviation scores (BMI‐SDS) in children and adolescents seeking treatment for severe obesity, according to the International Obesity ...Task Force (IOTF), World Health Organization (WHO) and the national Norwegian Bergen Growth Study (BGS) BMI reference charts and the percentage above the International Obesity Task Force 25 cut‐off (IOTF‐25).
Methods
This was a cross‐sectional study of 396 children aged four to 17 years, who attended a tertiary care obesity centre in Norway from 2009 to 2015. Their BMI was converted to SDS using the three growth references and expressed as the percentage above IOTF‐25. The percentage of body fat was assessed by bioelectrical impedance analysis.
Results
Regardless of which BMI reference chart was used, the BMI‐SDS was significantly different between the age groups, with a wider range of higher values up to 10 years of age and a more narrow range of lower values thereafter. The distributions of the percentage above IOTF‐25 and percentage of body fat were more consistent across age groups.
Conclusions
Our findings suggest that it may be more appropriate to use the percentage above a particular BMI cut‐off, such as the percentage above IOTF‐25, than the IOTF, WHO and BGS BMI‐SDS in paediatric patients with severe obesity.
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Childhood obesity is a worldwide health challenge and risk factor for adult life obesity, which predisposes to development of type 2 diabetes and cardiovascular diseases. However, also thinness in ...early life has been related to these diseases, especially if followed by fat gain. In European countries, susceptibility to cardio-metabolic diseases varies considerably between ethnic groups. We investigated ethnic differences in overweight and thinness in a multi-ethnic, population-based cohort of preschool children in Norway, and associations with maternal and early postnatal factors.
Participants were children aged 4-5 years (n = 570) drawn from the population-based STORK Groruddalen cohort of healthy women and offspring followed from early pregnancy. Ethnic groups were: European (n = 298), South Asian (n = 154), and Middle East/North African (n = 118). Children's growth data were provided from routine visits at local Child Health Clinics. Weight status was defined by the International Obesity Task Force. Using multinomial logistic regression analysis, we explored ethnic differences in overweight and thinness, and associations with maternal-, pre, - and postnatal factors.
Children of Middle East/North African origin had higher prevalence of overweight (22.0%) compared to European (12.8%) children, and in adjusted logistic regression analysis almost the double risk (OR 1.98; 95%CI: 1.08-3.63). Prevalence was lower in children of South Asian origin (5.2%). Children with South Asian background had higher prevalence of thinness (26.0%) compared to ethnic Europeans (10.4%), and the double risk (OR 2.20; 95%CI: 1.25-3.87) in adjusted models. Applying newly suggested BMI adjustments in South Asian children, taking into account their relatively increased adiposity, markedly increased the prevalence of overweight, and decreased the prevalence of thinness in this subgroup. Birthweight and maternal prepregnant overweight were strongly, positively associated with overweight, and inversely associated with thinness. Lower maternal age was associated with overweight only.
In a multi-ethnic cohort we found strikingly different patterns of overweight and thinness among children of different ethnic groups at age 4-5 years, and a strong association between maternal BMI and their children's weight status. More knowledge is needed on what characterizes and what promotes healthy growth patterns in multi-ethnic populations.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK