Food fussiness and food neophobia share a common etiology in early childhood

BACKGROUND: 'Food fussiness' (FF) is the tendency to be highly selective about which foods one is willing to eat, and emerges in early childhood; 'food neophobia' (FN) is a closely related characteristic but specifically refers to rejection of unfamiliar food. These behaviors are associated, but the extent to which their etiological architecture overlaps is unknown. The objective of this study was to quantify the relative contribution of genetic and environmental influences to variation in FF and FN in early childhood; and to establish the extent to which they share common genetic and environmental influences. METHOD: Participants were 1,921 families with 16-month-old twins from the Gemini birth cohort. Parents completed the Child Eating Behaviour Questionnaire which included three FF items and four FN items. Bivariate quantitative genetic modeling was used to quantify: (a) genetic and environmental contributions to variation in FF and FN; and (b) the extent to which genetic or environmental influences on FF and FN are shared across the traits. RESULTS: Food fussiness and FN were strongly correlated (r = .72, p < .001). Proportions of variation in FF were equally explained by genetic (.46; 95% CI: 0.41-0.52) and shared environmental influences (.46; 95% CI: 0.41-0.51). Shared environmental effects accounted for a significantly lower proportion of variation in FN (.22; 95% CI: 0.14-0.30), but genetic influences were not significantly different from those on FF (.58, 95% CI: 0.50-0.67). FF and FN largely shared a common etiology, indicated by high genetic (.73; 95% CI: 0.67-0.78) and shared environmental correlations (.78; 95% CI: 0.69-0.86) across the two traits. CONCLUSIONS: Food fussiness and FN both show considerable heritability at 16 months but shared environmental factors, for example the home environment, influenced more interindividual differences in the expression of FF than in FN. FF and FN largely share a common etiology

The prospective relation between eating behaviors and BMI from middle childhood to adolescence: A 5-wave community study

Some eating behaviors are associated with increased risk of childhood obesity and are thus potential targets for obesity prevention. However, longitudinal research, especially on older children and adolescents, is needed to substantiate such a claim. Using data from a representative birth cohort of Norwegian children followed up biennially from age 6 to age 14 (analysis sample: n = 802), we tested if change in eating behaviors predicts increased body mass index (BMI) throughout childhood and adolescence, or if it is the other way around; higher BMI predicting more obesogenic eating. Eating behaviors were measured using the Children's Eating Behaviour Questionnaire (CEBQ) and BMI was measured objectively using digital scales. To separate within-person- and between-person effects and control for all time-invariant confounders (i.e., variables that do not change over the study period), we applied an autoregressive latent trajectory model with structured residuals (ALT-SR). Results showed that increases in obesogenic eating behaviors did not predict higher BMI at any age. It was the other way around: Increased BMI predicted increases in food responsiveness and emotional overeating at all time points, and enjoyment of food from 8 to 10 years and from 10 to 12 years. Furthermore, increased BMI predicted decreases in satiety responsiveness at all time points except from age 12 to age 14, as well as diminished emotional undereating from 12 to 14 years. One implication of our findings, if replicated, is that targeting obesogenic eating behaviors to change weight outcomes may be less effective in children older than age 6

Validation of the adult eating behavior questionnaire in a Norwegian sample of adolescents

Eating behaviors are related to health and well-being. To examine stability and change in eating behaviors throughout life, developmentally appropriate measures capturing the same eating behavior dimensions are needed. The newly developed Adult Eating Behavior Questionnaire (AEBQ) builds on the well-established parent-reported Children's Eating Behavior Questionnaire (CEBQ), and together with the corresponding Baby Eating Behavior Questionnaire (BEBQ), these questionnaires cover all ages. However, validation studies on adolescents are relatively sparse and have yielded somewhat conflicting results. The present study adds to existing research by testing the psychometric properties of the AEBQ in a sample of 14-year-olds and examining its construct validity by means of the parent-reported CEBQ. The current study uses age 14 data (analysis sample: n = 636) from the ongoing Trondheim Early Secure Study, a longitudinal study of a representative birth cohort of Norwegian children (baseline: n = 1007). Confirmatory factor analysis (CFA) was conducted to test the factorial validity of AEBQ. Construct validity was examined by bivariate correlations between AEBQ subscales and CEBQ subscales. CFAs revealed that a 7-factor solution of the AEBQ, with the Hunger scale removed, was a better-fitting model than the original 8-factor structure. The 7-factor model was respecified based on theory and model fit indices, resulting in overall adequate model fit (χ2 = 896.86; CFI = 0.924; TLI = 0.912; RMSEA = 0.05 (90% CI: 0.043, 0.051); SRMR = 0.06). Furthermore, small-to-moderate correlations were found between corresponding AEBQ and CEBQ scales. This study supports a 7-factor solution of the AEBQ without the Hunger scale and provide evidence of its construct validity in adolescents. Several of the CEBQ subscales were significantly associated with weight status, whereas this was the case for only one of the AEBQ scales

Shared genetic architecture underlying sleep and weight in children.

Meta-analyses suggest shorter sleep as a risk factor for obesity in children. The prevailing hypothesis is that shorter sleep causes obesity by impacting homeostatic processes. Sleep duration and adiposity are both heritable, and the association may reflect shared genetic aetiology. We examined the association between a body mass index (BMI) genetic risk score (GRS) and objectively-measured total sleep time (TST) in a cohort of Norwegian children (enrolled at age four in 2007-2008) using cross-sectional data at age six. The analytical sample included 452 six-year old children with complete genotype and phenotype data. The outcome was actigraphic total sleep time (TST) measured at age six years. Genetic risk of obesity was inferred using a 32-single nucleotide polymorphism (SNP) weighted GRS of BMI. Covariates were BMI-Standard deviation scores (SDS) (which takes into account age and sex) and, in a sensitivity analysis socioeconomic status. Analyses consisted of Pearson's correlations and linear regressions. In our sample, 54% of participants were male; mean (SD) TST, age and BMI were 9.6 (0.8) hours, 6.0 (0.2) years and 15.3 (1.2) kg/m2, respectively. BMI and TST were not correlated, r = -0.003, p = 0.946. However, the BMI GRS was associated with TST after adjusting for BMI-SDS, standardised β = -0.11; 95% confidence interval (CI) = -0.22, -0.01. To our knowledge, this is the first study to establish a relationship between genetic risk of obesity and objective sleep duration in children. Findings suggest some shared genetic aetiology underlying these traits. Future research could identify the common biological pathways through which common genes predispose to both shorter sleep and increased risk of obesity

Screening for pickiness - a validation study

Picky eating is prevalent in childhood and is associated with negative health outcomes. Therefore early detection of pickiness is pertinent. Because no psychometric measure of picky/fussy eating has been validated, we aimed to examine the screening efficiency of the 6-item ‘Food Fussiness’ (FF) scale from the Children’s Eating Behavior Questionnaire using structured psychiatric interviews (the Preschool Age Psychiatric Interview), providing meaningful cut-off values based on a large, representative sample of Norwegian 6 year olds (n = 752). Screening efficiency was evaluated using receiver operating characteristic curve analysis, revealing excellent discrimination. The cut-point maximizing the sum of sensitivity and specificity for the scale was found at a score of 3.33 for severe cases and 3.00 when both moderate and severe pickiness were included. The results suggest that the FF scale may provide a tool for identification of clinically significant picky eating, although further assessment may be needed to separate moderate from severe cases

Child and parent predictors of picky eating from preschool to school age

Background: Picky eating is prevalent in childhood. Because pickiness concerns parents and is associated with nutrient deficiency and psychological problems, the antecedents of pickiness need to be identified. We propose an etiological model of picky eating involving child temperament, sensory sensitivity and parent-child interaction. Methods: Two cohorts of 4-year olds (born 2003 or 2004) in Trondheim, Norway were invited to participate (97.2% attendance; 82.0% consent rate, n = 2475) and a screen-stratified subsample of 1250 children was recruited. We interviewed 997 parents about their child’s pickiness and sensory sensitivity using the Preschool Age Psychiatric Assessment (PAPA). Two years later, 795 of the parents completed the interview. The Children’s Behavior Questionnaire (CBQ) was used to assess children’s temperament. Parent- child interactions were videotaped and parental sensitivity (i.e., parental awareness and appropriate responsiveness to children’s verbal and nonverbal cues) and structuring were rated using the Emotional Availability Scales (EAS). Results: At both measurement times, 26% of the children were categorized as picky eaters. Pickiness was moderately stable from preschool to school age (OR = 5.92, CI = 3.95, 8.86), and about half of those who displayed pickiness at age 4 were also picky eaters two years later. While accounting for pickiness at age 4, sensory sensitivity at age 4 predicted pickiness at age 6 (OR = 1.25, CI = 1.08, 2.23), whereas temperamental surgency (OR = 0.88, CI = 0.64, 1.22) and negative affectivity (OR = 1.17, CI = 0.75, 1.84) did not. Parental structuring was found to reduce the risk of children’s picky eating two years later (OR = 0.90, CI = 0.82, 0.99), whereas parental sensitivity increased the odds for pickiness (OR = 1.10, CI = 1.00, 1.21). Conclusions: Although pickiness is stable from preschool to school age, children who are more sensory sensitive are at higher risk for pickiness two years later, as are children whose parents display relatively higher levels of sensitivity and lower levels of structuring. Our findings suggest that interventions targeting children’s sensory sensitivity, as well as parental sensitivity and structuring, might reduce the risk of childhood pickiness. Health care providers should support parents of picky eaters in repeatedly offering unfamiliar and rejected foods to their children without pressure and acknowledging child autonomy

The use of complementary and alternative medicine by 7427 Australian women with cyclic perimenstrual pain and discomfort: A cross-sectional study

© 2016 Fisher et al. Background: To assess the prevalence of cyclic perimenstrual pain and discomfort and to detail the pattern of complementary and alternative (CAM) use adopted by women for the treatment of these symptoms. Methods: Data from the 2012 national Australian Longitudinal Study of Women's Health (ALSWH) cross-sectional survey of 7427 women aged 34-39 years were analysed to estimate the prevalence of endometriosis, premenstrual syndrome (PMS), irregular or heavy periods and severe dysmenorrhoea and to examine the association between their symptoms and their visits to CAM practitioners as well as their use of CAM therapies and products in the previous 12 months. Results: The prevalence of endometriosis was 3.7 % and of the perimenstrual symptoms assessed, PMS was most prevalent at 41.2 % whilst irregular bleeding (22.2 %), heavy periods (29.8 %) and severe period pain (24.1 %) were reported at lower levels. Women with endometriosis were more likely than non-sufferers to have consulted with a massage therapist or acupuncturist and to have used vitamins/minerals, yoga/meditation or Chinese medicines (p < 0.05). PMS sufferers were more likely to consult with an osteopath, massage therapist, naturopath/herbalist or alternative health practitioner and to have used all forms of CAM therapies except Chinese medicines than women who had infrequent PMS (all p < 0.05). Women with irregular periods did not have different patterns of CAM use from non-sufferers and those with heavy periods did not favour any form of CAM but were less likely to visit a massage therapist or use yoga/meditation than non-sufferers (p < 0.05). For women with severe dysmenorrhoea there was no difference in their visits to CAM practitioners compared to non-sufferers but they were more likely to use aromatherapy oils (p < 0.05) and for more frequent dysmenorrhoea also herbal medicines, Chinese medicines and other alternative therapies compared to non-sufferers (all p < 0.05). Conclusions: There is a high prevalence of cyclic perimenstrual pain and discomfort amongst women in this age group. Women were using CAM differentially when they had specific symptoms of cyclic perimenstrual pain and discomfort. The use of CAM needs to be properly assessed to ensure their safe, effective use and to ascertain their significance as a treatment option enabling women with menstrual problems and their care providers to improve their quality of life

Patient/family views on data sharing in rare diseases: study in the European LeukoTreat project.: Survey assessing data sharing in leukodystrophies

International audienceThe purpose of this study was to explore patient and family views on the sharing of their medical data in the context of compiling a European leukodystrophies database. A survey questionnaire was delivered with help from referral centers and the European Leukodystrophies Association, and the questionnaires returned were both quantitatively and qualitatively analyzed. This study found that patients/families were strongly in favor of participating. Patients/families hold great hope and trust in the development of this type of research. They have a strong need for information and transparency on database governance, the conditions framing access to data, all research conducted, partnerships with the pharmaceutical industry, and they also need access to results. Our findings bring ethics-driven arguments for a process combining initial broad consent with ongoing information. On both, we propose key item-deliverables to database participants

Emotional over- and under-eating in early childhood are learned not inherited

Emotional overeating (EOE) has been associated with increased obesity risk, while emotional undereating (EUE) may be protective. Interestingly, EOE and EUE tend to correlate positively, but it is unclear whether they reflect different aspects of the same underlying trait, or are distinct behaviours with different aetiologies. Data were from 2054 five-year-old children from the Gemini twin birth cohort, including parental ratings of child EOE and EUE using the Child Eating Behaviour Questionnaire. Genetic and environmental influences on variation and covariation in EUE and EOE were established using a bivariate Twin Model. Variation in both behaviours was largely explained by aspects of the environment completely shared by twin pairs (EOE: C = 90%, 95% CI: 89%-92%; EUE: C = 91%, 95% CI: 90%-92%). Genetic influence was low (EOE: A = 7%, 95% CI: 6%-9%; EUE: A = 7%, 95% CI: 6%-9%). EOE and EUE correlated positively (r = 0.43, p < 0.001), and this association was explained by common shared environmental influences (BivC = 45%, 95% CI: 40%-50%). Many of the shared environmental influences underlying EUE and EOE were the same (rC = 0.50, 95% CI: 0.44, 0.55). Childhood EOE and EUE are etiologically distinct. The tendency to eat more or less in response to emotion is learned rather than inherited

The association between childhood adiposity and appetite assessed using the Child Eating Behavior Questionnaire and Baby Eating Behavior Questionnaire: A systematic review and meta-analysis

This systematic review and meta-analysis aimed to quantify associations between Child Eating Behavior Questionnaire (CEBQ) and Baby Eating Behavior Questionnaire (BEBQ) appetitive traits (food approach: Food Responsiveness [FR], Enjoyment of Food [EF], Emotional Overeating [EOE], and Desire to Drink [DD]; food avoidant: Satiety Responsiveness [SR], Slowness in Eating [SE], Emotional Undereating [EUE], Food Fussiness [FF]) and measures of child adiposity. Searches of six databases up to February 2019 identified 72 studies (CEBQ, n = 67; BEBQ, n = 5), and 27 met the meta-analysis criteria. For cross-sectional studies reporting unadjusted correlations with body mass index z-scores (BMIz) (n = 19), all traits were associated with BMIz in expected directions (positive: FR, EF, EOE, and DD; negative: SR, SE, EUE, and FF). Pooled estimates ranged from r = 0.22 (FR) to r = −0.21 (SR). For cross-sectional studies reporting regression coefficients (n = 10), three traits (FR, EF, and EOE) associated positively, and three traits (SR, SE, and EUE) negatively, with BMIz (β = −0.31 [SR] to β = 0.22 [FR]). Eleven studies reported prospective relationships from appetite to adiposity measures for six scales (positive: FR, EF, EOE, and DD; negative: SR and SE). Five studies reported relationships from adiposity measures to appetite for five traits (positive: FR, EF, and EOE; negative: SR). All BEBQ traits were consistently cross-sectionally associated with adiposity measures. Overall, CEBQ/BEBQ-assessed appetitive traits show consistent cross-sectional relationships with measures of child adiposity