Abstract Background Fussy eating is common in young children, often raising concerns among parents. The use of pressuring feeding practices may provoke or worsen child fussiness, but these practices ...could equally be a parent's response to child fussy eating. Objective In longitudinal analyses, we assessed directionality in the relation between fussy eating and parent's pressure to eat across childhood. Methods Study participants were 4845 mother-child dyads from the population-based Generation R cohort in the Netherlands. The Child Behavior Checklist was used to assess fussy eating (2 items) at child ages 1½, 3 and 6 years. Parents' pressure to eat was assessed with the Child Feeding Questionnaire (4 items) when children were 4 years old. All scale scores were standardized. Results Linear regression analyses indicated that preschoolers' fussy eating prospectively predicted higher levels of parents' pressure to eat at child age 4 years, independently of confounders (adjusted B = 0.24, 95% CI: 0.21, 0.27). Pressure to eat at 4 years also predicted more fussiness in children at age 6 years, independently of confounders and of fussy eating at baseline (adjusted B = 0.14, 95% CI: 0.11, 0.17). Path analyses indicated that the relation from fussy eating at 3 years to parenting one year later was stronger than from pressure at 4 years to fussy eating two years later (p < 0.001). Conclusions Our findings suggest bi-directional associations with parental pressuring feeding strategies being developed in response to children's food avoidant behaviors, but also seemingly having a counterproductive effect on fussiness. Thus, the use of pressure to eat should be reconsidered, while providing parents alternative techniques to deal with their child's fussy eating.
Weight problems that arise in the first years of life tend to persist. Behavioral research in this period can provide information on the modifiable etiology of unhealthy weight. The present study ...aimed to replicate findings from previous small-scale studies by examining whether different aspects of preschooler's eating behavior and parental feeding practices are associated with body mass index (BMI) and weight status -including underweight, overweight and obesity- in a population sample of preschool children.
Cross-sectional data on the Child Eating Behaviour Questionnaire, Child Feeding Questionnaire and objectively measured BMI was available for 4987 four-year-olds participating in a population-based cohort in the Netherlands.
Thirteen percent of the preschoolers had underweight, 8% overweight, and 2% obesity. Higher levels of children's Food Responsiveness, Enjoyment of Food and parental Restriction were associated with a higher mean BMI independent of measured confounders. Emotional Undereating, Satiety Responsiveness and Fussiness of children as well as parents' Pressure to Eat were negatively related with children's BMI. Similar trends were found with BMI categorized into underweight, normal weight, overweight and obesity. Part of the association between children's eating behaviors and BMI was accounted for by parental feeding practices (changes in effect estimates: 20-43%), while children's eating behaviors in turn explained part of the relation between parental feeding and child BMI (changes in effect estimates: 33-47%).
This study provides important information by showing how young children's eating behaviors and parental feeding patterns differ between children with normal weight, underweight and overweight. The high prevalence of under- and overweight among preschoolers suggest prevention interventions targeting unhealthy weights should start early in life. Although longitudinal studies are necessary to ascertain causal directions, efforts to prevent or treat unhealthy child weight might benefit from a focus on changing the behaviors of both children and their parents.
Bullying and victimization are widespread phenomena in childhood and can have a serious impact on well-being. Children from families with a low socioeconomic background have an increased risk of this ...behaviour, but it is unknown whether socioeconomic status (SES) of school neighbourhoods is also related to bullying behaviour. Furthermore, as previous bullying research mainly focused on older children and adolescents, it remains unclear to what extent bullying and victimization affects the lives of younger children. The aim of this study is to examine the prevalence and socioeconomic disparities in bullying behaviour among young elementary school children.
The study was part of a population-based survey in the Netherlands. Teacher reports of bullying behaviour and indicators of SES of families and schools were available for 6379 children aged 5-6 years.
One-third of the children were involved in bullying, most of them as bullies (17%) or bully-victims (13%), and less as pure victims (4%). All indicators of low family SES and poor school neighbourhood SES were associated with an increased risk of being a bully or bully-victim. Parental educational level was the only indicator of SES related with victimization. The influence of school neighbourhood SES on bullying attenuated to statistical non-significance once adjusted for family SES.
Bullying and victimization are already common problems in early elementary school. Children from socioeconomically disadvantaged families, rather than children visiting schools in disadvantaged neighbourhoods, have a particularly high risk of involvement in bullying. These findings suggest the need of timely bullying preventions and interventions that should have a special focus on children of families with a low socioeconomic background. Future studies are necessary to evaluate the effectiveness of such programs.
Poverty is a risk factor for impaired child development, an association possibly mediated by brain morphology. Previous studies lacked prospective poverty assessments during pregnancy and did not ...stratify by majority/minority status. We investigated the association of household poverty from fetal life forward with brain morphological differences at age 10 years, in 2166 mother-child dyads. Overall, the results showed no associations between any poverty exposure early in life and brain volumes. However, there was the evidence of timing effects: children exposed to poverty in utero had smaller amygdala volumes (B = - 0.18, 95%CI - 0.30; - 0.07, p
= 0.009). There were also differences in associations by majority/minority status (cerebral white matter: p for interaction = 0.04). Dutch children exposed to childhood poverty showed smaller cerebral white matter volumes than their control (B = - 0.26, 95%CI - 0.45; - 0.06, p
= 0.035). This association was not observed in the minority population (B = - 0.05, 95%CI - 0.23; 0.12, p
= 0.542). The smaller cerebral white matter volume mediated the association between childhood poverty and poorer school performance in Dutch children. Our findings point to the importance of poverty exposure in the fetal period and suggest different mechanisms and vulnerabilities across majority/minority groups.
Dietary patterns in childhood have been associated with child neurodevelopment and cognitive performance, while the underlying neurobiological pathway is unclear. We aimed to examine associations of ...dietary patterns in infancy and mid-childhood with pre-adolescent brain morphology, and whether diet-related differences in brain morphology mediate the relation with cognition. We included 1888 and 2326 children with dietary data at age one or eight years, respectively, and structural neuroimaging at age 10 years in the Generation R Study. Measures of brain morphology were obtained using magnetic resonance imaging. Dietary intake was assessed using food-frequency questionnaires, from which we derived diet quality scores based on dietary guidelines and dietary patterns using principal component analyses. Full scale IQ was estimated using the Wechsler Intelligence Scale for Children-Fifth Edition at age 13 years. Children with higher adherence to a dietary pattern labeled as ‘Snack, processed foods and sugar’ at age one year had smaller cerebral white matter volume at age 10 (B = -4.3, 95%CI -6.9, -1.7). At age eight years, higher adherence to a ‘Whole grains, soft fats and dairy’ pattern was associated with a larger total brain (B = 8.9, 95%CI 4.5, 13.3), and larger cerebral gray matter volumes at age 10 (B = 5.2, 95%CI 2.9, 7.5). Children with higher diet quality and better adherence to a ‘Whole grains, soft fats and dairy’ dietary pattern at age eight showed greater brain gyrification and larger surface area, clustered primarily in the dorsolateral prefrontal cortex. These observed differences in brain morphology mediated associations between dietary patterns and IQ. In conclusion, dietary patterns in early- and mid-childhood are associated with differences in brain morphology which may explain the relation between dietary patterns and neurodevelopment in children.
Polycystic ovary syndrome (PCOS) is an endocrine condition associated with reproductive and psychiatric disorders, and with obesity. Eating disorders, such as bulimia and recurrent dieting, are also ...linked to PCOS. They can lead to the epigenetic dysregulation of the hypothalamic-pituitary-gonadal (HPG) axis, thereby impacting on ovarian folliculogenesis. We postulate that PCOS is induced by psychological distress and episodes of overeating and/or dieting during puberty and adolescence, when body dissatisfaction and emotional distress are often present. We propose that upregulated activation of the central HPG axis during this period can be epigenetically altered by psychological stressors and by bulimia/recurrent dieting, which are common during adolescence and which can lead to PCOS. This hypothesis is based on events that occur during a largely neglected stage of female reproductive development. To date, most research into the origins of PCOS has focused on the prenatal induction of this disorder, particularly in utero androgenization and the role of anti-Müllerian hormone. Establishing causality in our peripubertal model requires prospective cohort studies from infancy. Mechanistic studies should consider the role of the gut microbiota in addition to the epigenetic regulation of (neuro) hormones. Finally, clinicians should consider the importance of underlying chronic psychological distress and eating disorders in PCOS.
Objective
Life adversities are recognized risk factors for eating disorders, in adolescents and adults, but whether such adversities are also associated with particular eating behaviors earlier in ...life is still unclear. Our aim was to assess whether experiencing adverse life events in early childhood is associated with emotional overeating and restrained eating at age 10.
Methods
Emotional overeating and restrained eating were assessed in 4,653 10‐years‐old children using the mother‐reported Children's Eating Behavior Questionnaire and Dutch Eating Behavior Questionnaire. Mothers also reported on 24 different life events during childhood, those with moderate or severe impact being categorized as adverse life events. Regression analyses were performed to investigate relationships between adverse life events and eating behaviors in the total sample.
Results
Adjusted for covariates, adverse life events were associated with more emotional overeating and restrained eating in children (p‐values for trend <.01). Specifically, mothers who reported that their child experienced 3+ adverse life events, also reported significantly higher emotional overeating (B = 0.20; 95% confidence interval CI, 0.06–0.33) and restrained eating (B = 0.21; 95% CI, 0.08–0.33) in their children relative to children who did not experience adverse life events. These results did not differ by sex.
Discussion
Our results based on mother‐reported data suggest that children's experiences of life adversities are associated with emotional overeating and restrained eating at age 10 years. We recommend future prospective studies using multi‐informant assessments of both adverse life events and eating behaviors to further describe the nature and developmental course of this relationship.
BACKGROUND: Definitions and assessment methods of fussy/picky eating are heterogeneous and remain unclear. We aimed to identify an eating behavior profile reflecting fussy/picky eating in children ...and to describe characteristics of fussy eaters. METHODS: Eating behavior was assessed with the Child Eating Behavior Questionnaire (CEBQ) in 4914 4-year olds in a population-based birth cohort study. Latent Profile Analysis (LPA) was used to identify eating behavior profiles based on CEBQ subscales. RESULTS AND DISCUSSION: We found a “fussy” eating behavior profile (5.6% of children) characterized by high food fussiness, slowness in eating, and satiety responsiveness in combination with low enjoyment of food and food responsiveness. Fussy eaters were more often from families with low household income than non-fussy eaters (42% vs. 31.8% respectively; Χ ² (1) = 9.97, p < .01). When they were 14 months old, fussy eaters had a lower intake of vegetables (t 3008 = 2.42, p < .05) and fish (t 169.77 = 2.40, p < .05) but higher intake of savory snacks (t 153.69 = -2.03, p < .05) and sweets (t 3008 = -2.30, p < .05) compared to non-fussy eaters. Also, fussy eaters were more likely to be underweight at 4 years of age (19.3%) than non-fussy eaters (12.3%; Χ ² (1) = 7.71, p < .01). CONCLUSIONS: A distinct fussy eating behavior profile was identified by LPA, which was related to family and child characteristics, food intake, and BMI. This behavior profile might be used in future research and the development of interventions.
Socioeconomic inequalities in longitudinal patterning of childhood overweight could cause marked differentials in total burden by adulthood. This study aims to determine timing and strength of the ...association between socioeconomic status (SES) and children's body mass index (BMI) in the pre- and primary school years, and to examine socioeconomic differences in overweight trajectories across childhood.
Participants were 4949 children from the Longitudinal Study of Australian Children. BMI was measured at four biennial waves starting at age 4-5 years in 2004. Developmental trajectories of childhood overweight were identified with latent class analyses. Composite variables of family and neighbourhood SES were used.
Socioeconomic differences in mean BMI z-scores already present at age 4-5 more than doubled by age 10-11 years, reflecting decreasing mean BMI among advantaged rather than increasing means among disadvantaged children. Latent class analysis identified children with 'stable normal weight' (68%), and with 'persistent' (15%), 'late-onset' (14%), and 'resolving' overweight (3%). Risks of persistent and late-onset childhood overweight were highest among low SES families (e.g. most disadvantaged quintile: OR(persistent) = 2.51, 95%CI: 1.83-3.43), and only partly explained by birth weight and parental overweight. Relationships with neighbourhood SES were weaker and attenuated fully on adjustment for family SES. No socioeconomic gradient was observed for resolving overweight.
Childhood has become the critical period when socioeconomic inequalities in overweight emerge and strengthen. Although targeting disadvantaged children with early overweight must be a top priority, the presence of childhood overweight even among less-disadvantaged families suggests only whole-society approaches will eliminate overweight-associated morbidity.
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