C H M van Jaarsveld

Eating behaviour and weight in children.

Objective:To test the hypothesis that quantitative variation in eating behaviour traits shows a graded association with weight in children.Design:Cross-sectional design in a community setting.Subjects:Data were from 406 families participating in the Physical Exercise and Appetite in CHildren Study (PEACHES) or the Twins Early Development Study (TEDS). Children were aged 7–9 years (PEACHES) and 9–12 years (TEDS).Measurements:Weights and heights were measured by researchers. Body mass index (BMI) s.d. scores were used to categorize participants into underweight, healthy weight, overweight and obese groups, with an additional division of the healthy weight group into higher and lower healthy weight at the 50th centile. Eating behaviour traits were assessed with the Child Eating Behaviour Questionnaire (CEBQ), completed by the parents on behalf of their child. Linear trend analyses compared CEBQ subscale scores across the five weight groups.Results:Satiety Responsiveness/Slowness in Eating and Food Fussiness showed a graded negative association with weight, whereas Food Responsiveness, Enjoyment of Food, Emotional Overeating and Desire to Drink were positively associated. All effects were maintained after controlling for age, sex, ethnicity, parental education and sample. There was no systematic association with weight for Emotional Undereating.Conclusion:These results support the idea that approach-related and avoidance-related appetitive traits are systematically (and oppositely) related to adiposity, and not exclusively associated with obesity. Early assessment of these traits could be used as indicators of susceptibility to weight gain.

Continuity and stability of eating behaviour traits in children

Objective:To discover whether eating behaviour traits show continuity and stability over childhood.Subjects/Methods:Mothers of 428 twin children from the Twins Early Development Study participated in a study of eating and weight in 1999 when the children were 4 years old. Families were contacted again in 2006 when the children were aged 10 years, with complete data on 322 children; a response rate of 75%. At both times, mothers completed the Child Eating Behaviour Questionnaire (CEBQ) for each child. Continuity was assessed with correlations between scores at the two time points, and stability by changes in mean scores over time.Results:For all CEBQ subscales, correlations between the two time points were highly significant (P-values <0.001). For satiety responsiveness, slowness in eating, food responsiveness, enjoyment of food, emotional overeating and food fussiness, correlations ranged from r=0.44 to 0.55, with lower continuity for emotional undereating (r=0.29). Over time, satiety responsiveness, slowness in eating, food fussiness, and emotional undereating decreased, while food responsiveness, enjoyment of food and emotional overeating increased.Conclusions:Eating behaviours, including those associated with a tendency to overeat, emerge early in the developmental pathway and show levels of individual continuity comparable to stable personality traits. Appetitive traits related to higher satiety tended to decrease with maturation, while those associated with food responsiveness tended to increase. This pattern is consistent with strong tracking of body mass index alongside a progressive increase in the risk of obesity.

Adiposity and 'eating in the absence of hunger' in children.

Objective:To examine the association between eating in the absence of hunger (EAH) and adiposity in children.Design:Two cross-sectional studies in community settings.Subjects:For study 1, 348 children (178 girls and 170 boys) aged 7–9 years were recruited as part of the Physical Exercise and Appetite in Children Study. In study 2, participants were a subsample of children aged 9–12 years (N=316; 192 girls and 124 boys) from the Twins Early Development Study.Measurements:EAH was operationalized as intake of highly palatable sweet snacks after a mixed meal at school (study 1) or home (study 2). Weight (kg) and height (m) measurements were used to calculate the body mass index (BMI) s.d. scores. Children were grouped using the standard criteria for underweight, healthy weight, overweight and obesity. The healthy weight range was further subdivided into lower healthy weight (⩽50th centile) and higher healthy weight (>50th centile) to examine the distribution of EAH across the adiposity continuum.Results:In both studies, EAH showed a significant positive association with adiposity in boys after adjusting for covariates (P<0.001), with a linear increase in the intake across underweight, healthy weight and overweight groups. The association between EAH and adiposity was not significant in girls in either study, although in study 1, results showed a quadratic trend, with EAH increasing through the underweight and healthy weight ranges and decreasing in overweight and obese groups.Conclusion:EAH is a behavioural phenotype that is not specific to overweight children but instead shows a graded association with adiposity across the weight continuum, particularly in boys. In this study, the effect was less pronounced in girls, which may reflect social desirability pressures constraining food intake among heavier girls.

Sleep and energy intake in early childhood

Background And Objectives:Shorter sleep is associated with higher weight in children, but little is known about the mechanisms. The aim of this study was to test the hypothesis that shorter sleep was associated with higher energy intake in early childhood.Methods:Participants were 1303 families from the Gemini twin birth cohort. Sleep duration was measured using the Brief Infant Sleep Questionnaire when the children were 16 months old. Total energy intake (kcal per day) and grams per day of fat, carbohydrate and protein were derived from 3-day diet diaries completed by parents when children were 21 months old.Results:Shorter nighttime sleep was associated with higher total energy intake (P for linear trend=0.005). Children sleeping <10 h consumed around 50 kcal per day more than those sleeping 11–<12 h a night (the optimal sleep duration for children of this age). Differences in energy intake were maintained after adjustment for confounders. As a percentage of total energy intake, there were no significant differences in macronutrient intake by sleep duration. The association between sleep and weight was not significant at this age (P=0.13).Conclusions:This study provides the first evidence that shorter nighttime sleep duration has a linear association with higher energy intake early in life. That the effect is observed before emergence of associations between sleep and weight indicates that differences in energy intake may be a mechanism through which sleep influences weight gain.

Energy and nutrient intakes of young children in the UK: findings from the Gemini twin cohort

Data on the diets of young children in the UK are limited, despite growing evidence of the importance of early diet for long-term health. We used the largest contemporary dietary data set to describe the intake of 21-month-old children in the UK. Parents of 2336 children aged 21 months from the UK Gemini twin cohort completed 3-d diet diaries in 2008/2009. Family background information was obtained from questionnaires completed 8 months after birth. Mean total daily intakes of energy, macronutrients (g and %E) and micronutrients from food and beverages, including and excluding supplements, were derived. Comparisons with UK dietary reference values (DRV) were made using t tests and general linear regression models, respectively. Daily energy intake (kJ), protein (g) and most micronutrients exceeded DRV, except for vitamin D and Fe, where 96 or 84 % and 70 or 6 % of children did not achieve the reference nutrient intake or lower reference nutrient intake (LRNI), respectively, even with supplementation. These findings reflect similar observations in the smaller sample of children aged 18–36 months in the National Diet and Nutrition Survey. At a population level, young children in the UK are exceeding recommended daily intakes of energy and protein, potentially increasing their risk of obesity. The majority of children are not meeting the LRNI for vitamin D, largely reflecting inadequate use of the supplements recommended at this age. Parents may need more guidance on how to achieve healthy energy and nutrient intakes for young children.

Body mass index and incident type 1 and type 2 diabetes in children and young adults: a retrospective cohort study

Context: Little is known about the association between obesity and temporal trends in the incidence of diabetes in children and young adults. Objective: We examined the recent incidence of types 1 and 2 diabetes in relation to a high body mass index (BMI) in UK children and young adults. Design: Cohort and nested case-control. Setting: A total of 375 general practices that contribute to the UK Clinical Practice Research Datalink (CPRD). Participants: A total of 369,362 participants aged 2 to 15 years at BMI measurement in CPRD from 1994 to 2013. Intervention: None. Main outcome measures: Incident type 1 diabetes (T1D) and type 2 diabetes (T2D) diagnoses up to age 25 years. Results: A total of 654 incident cases of T2D and 1318 T1D cases were found. The incidence of T2D per 100,000 persons annually increased from 6.4 in 1994 to 1998 to 33.2 in 2009 to 2013; and that for T1D increased from 38.2 to 52.1 per 100,000 persons during the same period. The incidence of T2D increased in both overweight (85th to 95th percentile for age- and sex-specific BMI; P = 0.01) and obese (≥95th percentile; P < 0.01) individuals from 1994 to 2013. Obese individuals, who constituted 47.1% of T2D cases, had a markedly greater risk of incident T2D [odds ratio, 3.75; 95% confidence interval (CI), 3.07 to 4.57], with an incidence rate ratio of 4.33 (95% CI, 3.68 to 5.08) compared with the normal BMI category. No positive linear association was found between obesity (greater BMI) and incident T1D cases. Conclusions: Increasing obesity has contributed to the increasing incidence of T2D but not T1D among UK children and young adults, with a fourfold greater risk of developing T2D in obese individuals.

Sleep and nighttime energy consumption in early childhood: a population-based cohort study

Shorter sleep is a risk factor for weight gain in young children. Experimental studies show that sleep deprivation is associated with higher nighttime energy intake, but no studies have examined the patterning of energy intake in relation to nighttime sleep duration in young children.

Family and infant characteristics associated with timing of core and non-core food introduction in early childhood

Background/Objectives:To identify family and infant characteristics associated with timing of introduction of two food types: core foods (nutrient-dense) and non-core foods (nutrient-poor) in a population-based sample of mothers and infants.Subjects/Methods:Participants were 1861 mothers and infants from the Gemini twin birth cohort (one child per family). Family and infant characteristics were assessed when the infants were around 8 months old. Timing of introducing core and non-core foods was assessed at 8 and 15 months. As the distributions of timing were skewed, three similar-sized groups were created for each food type: earlier (core: 1–4 months; non-core: 3–8 months), average (core: 5 months; non-core: 9–10 months) and later introduction (core: 6–12 months; non-core: 11–18 months). Ordinal logistic regression was used to examine predictors of core and non-core food introduction, with bootstrapping to test for differences between the core and non-core models.Results:Younger maternal age, lower education level and higher maternal body mass index were associated with earlier core and non-core food introduction. Not breastfeeding for at least 3 months and higher birth weight were specifically associated with earlier introduction of core foods. Having older children was specifically associated with earlier introduction of non-core foods.Conclusions:There are similarities and differences in the characteristics associated with earlier introduction of core and non-core foods. Successful interventions may require a combination of approaches to target both food types.

Four-year stability of anthropometric and cardio-metabolic parameters in a prospective cohort of older adults

AIM To examine the medium-term stability of anthropometric and cardio-metabolic parameters in the general population. MATERIALS & METHODS Participants were 5160 men and women from the English Longitudinal Study of Ageing (age ≥50 years) assessed in 2004 and 2008. Anthropometric data included height, weight, BMI and waist circumference. Cardio-metabolic parameters included blood pressure, serum lipids (total cholesterol, HDL, LDL, triglycerides), hemoglobin, fasting glucose, fibrinogen and C-reactive protein. RESULTS Stability of anthropometric variables was high (all intraclass correlations >0.92), although mean values changed slightly (-0.01 kg weight, +1.33 cm waist). Cardio-metabolic parameters showed more variation: correlations ranged from 0.43 (glucose) to 0.81 (HDL). The majority of participants (71-97%) remained in the same grouping relative to established clinical cut-offs. CONCLUSION Over a 4-year period, anthropometric and cardio-metabolic parameters showed good stability. These findings suggest that when no means to obtain more recent data exist, a one-time sample will give a reasonable approximation to average levels over the medium-term, although reliability is reduced.

Meal size is a critical driver of weight gain in early childhood

Larger serving sizes and more frequent eating episodes have been implicated in the rising prevalence of obesity at a population level. This study examines the relative contributions of meal size and frequency to weight gain in a large sample of British children. Using 3-day diet diaries from 1939 children aged 21 months from the Gemini twin cohort, we assessed prospective associations between meal size, meal frequency and weight gain from two to five years. Separate longitudinal analyses demonstrated that every 10 kcal increase in meal size was associated with 1.5 g/wk or 4% (p = 0.005) faster growth rate, while meal frequency was not independently associated with growth (β = 0.3 g/wk p = 0.20). Including both meal parameters in the model strengthened associations (meal size: β = 2.6 g/wk, p < 0.001; meal frequency: β = 1.0 g/wk, p = 0.001). Taken together, the implication is that meal size promotes faster growth regardless of frequency, but meal frequency has a significant effect only if meal size is assumed to be held constant. Clearer advice on meal size and frequency, especially advice on appropriate meal size, may help prevent excess weight gain.