Search

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 = 0.72, p < 0.001). Proportions of variation in FF were equally explained by genetic (0.46; 95% CI: 0.41-0.52) and shared environmental influences (0.46; 95% CI: 0.41-0.51). Shared environmental effects accounted for a significantly lower proportion of variation in FN (0.22; 95% CI: 0.14-0.30), but genetic influences were not significantly different from those on FF (0.58, 95% CI: 0.50-0.67). FF and FN largely shared a common etiology, indicated by high genetic (0.73; 95% CI: 0.67-0.78) and shared environmental correlations (0.78; 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.

Summary: Background: Firstborn children are more likely to have obesity than secondborns, which may partially be explained by differential use of food to soothe (FTS) infant distress, which has been inked to higher weight status. Objectives: To test associations between the birth order and maternal FTS and whether differences in sibling temperament and body mass index (BMI) z‐scores were associated differences in maternal FTS. Methods: Random effect models assessed associations between birth order and FTS. Linear regressions examined associations between differences in maternal FTS and sibling differences in temperament at 16 weeks and BMI z‐scores at 1 year. Results: Mothers (n = 117) used contextual‐based FTS more with firstborns than secondborns (2.70 vs. 2.38, p < 0.0001). Sibling differences in negative affect were associated with differences in maternal contextual‐based (R2 = 0.09, p = 0.002) and emotion‐based (R2 = 0.09, p = 0.001) FTS. Sibling differences in effortful control were associated with differences in maternal emotion‐based FTS (R2 = 0.04, p = 0.04). Finally, differences in maternal emotion‐based FTS were associated with sibling differences in BMI z‐scores at age 1 year (R2 = 0.14, p = 0.006). Conclusions: To promote healthy child weight, mothers should learn to respond to each child's temperament and use alternatives to FTS infant distress. [ABSTRACT FROM AUTHOR]

Summary Background: Health Care Professionals struggle to initiate conversations about overweight in toddlerhood. A novel 3D body size scale (3D BSS) may facilitate engagement with this topic during pediatric appointments. Objectives: To explore barriers and facilitators to using the 3D BSS through a mixed‐methods design. Methods: For the qualitative phase, parents of toddlers (n = 38) participated in semi‐structured interviews introducing the 3D BSS of 4–5‐year‐old children. For the quantitative phase, pre‐ and post‐interview questionnaires were administered to ascertain the acceptability of the 3D BSS. Results: Parents rated the 3D BSS as "very" (n = 20, 52.6%) to "moderately" (n = 12, 31.6%) acceptable. Thematic analysis revealed four barriers to acceptability: i) the sensitive nature of child weight, ii) the belief that weight does not determine health, iii) the visual normalisation of overweight and iv) the need to account for individual variation in growth patterns. However, these barriers could be overcome through three facilitators: i) the provision of expert guidance ii) the value of simple tools, and iii) tailoring conversations to familial needs. Conclusions: Parents considered the 3D BSS an acceptable visual resource to discuss child weight during routine appointments. However, the acceptability of the tool was conditional on a sensitive, collaborative, and tailored delivery approach. [ABSTRACT FROM AUTHOR]

Background: Mood disorders and adiposity are major public health challenges. Few studies have investigated the bidirectional association of weight and waist circumference (WC) change with psychological distress in middle age, while taking into account the potential U-shape of the association. The aim of this study was to examine the bidirectional association between psychological distress and categorical change in objectively measured weight and WC. Methods: We analysed repeated measures (up to 17 522 person-observations in adjusted analyses) of psychological distress, weight and WC from the Whitehall II cohort. Participants were recruited at age 35–55 and 67% male. Psychological distress was assessed using the General Health Questionnaire. We used random-effects regressions to model the association between weight and WC changes and psychological distress, with and without a 5-year lag period. Results: Psychological distress was associated with weight and WC gain over the subsequent 5 years but not the second 5-year period. Weight gain and loss were associated with increased odds for incident psychological distress in models with and without time-lag [odds ratio (OR) for incident psychological distress after 5-year time-lag: loss 1.20, 95% confidence interval (CI) 1.00–1.43; gain>5% 1.20, 95% CI 1.02–1.40]. WC changes were only associated with psychological distress in models without time-lag (OR for incident psychological distress: loss 1.29, 95% CI 1.02–1.64; gain>5% 1.33, 95% CI 1.11–1.58). Conclusions: Weight gain and loss increase the odds for psychological distress compared with stable weight over subsequent 10 years. In contrast, the association between psychological distress and subsequent weight and WC changes was limited to the first 5 years of follow-up. [ABSTRACT FROM AUTHOR]

Background: Negative personality characteristics have been implicated in promoting overconsumption of both alcohol and food. Furthermore, positive motivations (enhancement) and negative motivations (coping) may mediate the association between personality and alcohol or food (over)consumption. Objectives: This study hypothesized that i.) drinking to cope and ii.) eating to cope would mediate the association between hopelessness/anxiety sensitivity and hazardous drinking/unhealthy snacking, respectively, and iii.) eating and drinking to cope would represent separate strategies. Methods: Participants were recruited via opportunity sampling through university schemes, social media, email and web page advertisements. Questionnaires included the Alcohol Use Disorders Identification Test, Substance Use Risk Profile Scale, Modified Drinking Motives Questionnaire Short Form, Palatable Eating Motives Scale and Snack/Meal Food Intake Measure. Results: Participants were 198 undergraduates, weight-related research volunteers and the public (83% female; 90% university educated). The hypothesized structural model fit the data well. As predicted, there were significant indirect associations between negative personality characteristics, hazardous drinking and unhealthy snacking via coping; specifically, individuals higher in anxiety sensitivity/hopelessness used food or alcohol to cope which, in turn, significantly predicted unhealthy snacking, and hazardous drinking, respectively. Importantly, drinking and eating to cope represented outcome-specific strategies, indicated by no significant association between eating to cope and hazardous drinking, or between drinking to cope and snacking. Conclusions: This study demonstrates that coping motivations are critical to the relationship between negative personality characteristics and unhealthy behaviors and highlights the distinct negative-reinforcement pathways associated with hazardous drinking and unhealthy snacking in majority university-educated females from the UK. [ABSTRACT FROM AUTHOR]

Emotional overeating (EOE) is the tendency to eat more in response to negative emotions; its etiology in early life is unknown. We established the relative genetic and environmental influences on EOE in toddlerhood and early childhood. Data were from Gemini, a population-based cohort of 2,402 British twins born in 2007. EOE was measured using the "emotional overeating" scale of the Child Eating Behavior Questionnaire (CEBQ) at 16 months and 5 years. A longitudinal quantitative genetic model established that genetic influences on EOE were minimal; on the other hand, shared environmental influences explained most of the variance. EOE was moderately stable from 16 months to 5 years and continuing environmental factors shared by twin pairs at both ages explained the longitudinal association. [ABSTRACT FROM AUTHOR]

Purpose: Variability in the timing of infant developmental milestones is poorly understood. We used a twin analysis to estimate genetic and environmental influences on motor development and activity levels in infancy.Method: Data were from the Gemini Study, a twin birth cohort of 2,402 families with twins born in the United Kingdom in 2007. Parents reported motor activity level for each of the twins at age 3 months using the Revised Infant Behavior Rating Scale and reported the ages at which they first sat unsupported, crawled, and walked unaided.Results: Activity level at 3 months and ages when first sitting and crawling were about equally influenced by the shared family environment (45%-54%) and genes (45%-48%). Genetic influences dominated for age when children took their first independent steps (84%).Conclusion: Aspects of the shared family environment appear to be important influences on motor activity levels and early milestones, although the timing of walking may have a stronger genetic influence. Further research to identify the specific environmental and genetic factors that promote early activity may be important for longer-term health outcomes. [ABSTRACT FROM AUTHOR]

Background: The aims of this study were to evaluate the factor structure of the newly developed Adult Eating Behaviour Questionnaire (AEBQ) (Hunot et al., Appetite 105:356-63, 2016) in an Australian sample, and examine associations between the four food approach and four food avoidance appetitive traits with body mass index (BMI). Methods: Participants (N = 998) recruited between May and October 2016 via a university research participation scheme and online social network sites completed an online version of the AEBQ and self-reported demographic and anthropometric data. Of the sample, 84.8% were females, 29.6% had completed a university degree and the overall mean age was 24.32 years (SD = 8.32). Confirmatory factor analysis (CFA) was used to test three alternative factor structures (derived from issues raised in the original development study): the original 8 factor model, a 7 factor model with Food Responsiveness and Hunger scales combined, and a 7 factor model with the Hunger scale removed. Results: The CFA revealed that the original 8 factor model was a better fit to the data than the 7 factor model in which Food Responsiveness and Hunger scales were combined. However, while reliability estimates for 7 of the 8 scales were good (Cronbach's a between 0.70-0.86), the reliability of the Hunger scale was modest (0.67) and dropping this factor resulted in a good fitting model. All food avoidance scales (except Food Fussiness) were negatively associated with body mass index (BMI) whereas Emotional Overeating was the only food approach scale positively associated with BMI. Conclusions: The study supports the use of the AEBQ as a reliable and valid measure of food approach and avoidance appetitive traits in adults. Longitudinal studies that examine continuity and stability of appetitive traits across the lifespan will be facilitated by the addition of this measurement tool to the literature. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Research suggests a role for both fat mass and muscle mass in appetite regulation, but the longitudinal relationships between them have not yet been examined in children. The present study therefore aimed to explore the prospective relationships between fat mass, muscle mass and the appetitive traits food responsiveness and satiety responsiveness in middle childhood. Methods: Food responsiveness and satiety responsiveness were measured using the parent-reported Children's Eating Behavior Questionnaire in a representative sample of Norwegian 6 year olds, followed up at 8 and 10 years of age (n = 807). Body composition was measured by bioelectrical impedance. Results: Applying a structural equation modeling framework we found that higher fat mass predicted greater increases in food responsiveness over time, whereas greater muscle mass predicted decreases in satiety responsiveness. This pattern was consistent both from ages 6 to 8 and from ages 8 to 10 years. Conclusions: Our study is the first to reveal that fat mass and muscle mass predict distinct changes in different appetitive traits over time. Replication of findings in non-European populations are needed, as are studies of children in other age groups. Future studies should also aim to reveal the underlying mechanisms. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Food preferences vary substantially among adults and children. Twin studies have established that genes and aspects of the shared family environment both play important roles in shaping children's food preferences. The transition from childhood to adulthood is characterized by large gains in independence, but the relative influences of genes and the environment on food preferences in late adolescence are unknown. Objective: The aim of this study was to quantify the contribution of genetic and environmental influences on food preferences in older adolescents. Design: Participants were 2865 twins aged 18-19 y from the TEDS (Twins Early Development Study), a large population-based cohort of British twins born during 1994-1996. Food preferences were measured by using a self-report questionnaire of 62 individual foods. Food items were categorized into 6 food groups (fruit, vegetables, meat or fish, dairy, starch foods, and snacks) by using factor analysis. Maximum likelihood structural equation modeling established genetic and environmental contributions to variations in preferences for each food group. Results: Genetic factors influenced a significant and substantial proportion of the variation in preference scores of all 6 food groups: vegetables (0.54; 95% CI: 0.47, 0.59), fruit (0.49; 95% CI: 0.43, 0.55), starchy foods (0.32; 95% CI: 0.24, 0.39), meat or fish (0.44; 95% CI: 0.38, 0.51), dairy (0.44; 95% CI: 0.37, 0.50), and snacks (0.43; 95% CI: 0.36, 0.49). Aspects of the environment that are not shared by 2 twins in a family explained all of the remaining variance in food preferences. Conclusions: Food preferences had a moderate genetic basis in late adolescence, in keeping with findings in children. However, by this older age, the influence of the shared family environment had disappeared, and only aspects of the environment unique to each individual twin influenced food preferences. This finding suggests that shared environmental experiences that influence food preferences in childhood may not have effects that persist into adulthood. [ABSTRACT FROM AUTHOR]

Background: Parental feeding practices are thought to play a causal role in shaping a child's fussiness; however, a child-responsive model suggests that feeding practices may develop in response to a child's emerging appetitive characteristics. We used a novel twin study design to test the hypothesis that mothers vary their feeding practices for twin children who differ in their 'food fussiness', in support of a child-responsive model. Methods: Participants were mothers and their 16 month old twin children (n = 2026) from Gemini, a British twin birth cohort of children born in 2007. Standardized psychometric measures of maternal 'pressure to eat', 'restriction' and 'instrumental feeding', as well as child 'food fussiness', were completed by mothers. Within-family analyses examined if twin-pair differences in 'food fussiness' were associated with differences in feeding practices using linear regression models. In a subset of twins (n = 247 pairs) who were the most discordant (highest quartile) on 'food fussiness' (difference score ≥ .50), Paired Samples T-test were used to explore the magnitude of differences in feeding practices between twins. Between-family analyses used Complex Samples General Linear Models to examine associations between feeding practices and 'food fussiness'. Results: Within-pair differences in 'food fussiness' were associated with differential 'pressure to eat' and 'instrumental feeding' (ps < .001), but not with 'restriction'. In the subset of twins most discordant on 'food fussiness', mothers used more pressure (p < .001) and food rewards (p < .05) with the fussier twin. Between-family analyses indicated that 'pressure to eat' and 'instrumental feeding' were positively associated with 'food fussiness', while 'restriction' was negatively associated with 'food fussiness' (ps < .001). Conclusions: Mothers appear to subtly adjust their feeding practices according to their perceptions of their toddler's emerging fussy eating behavior. Specifically, the fussier toddler is pressured more than their less fussy co-twin, and is more likely to be offered food rewards. Guiding parents on how to respond to fussy eating may be an important aspect of promoting feeding practices that encourage food acceptance. [ABSTRACT FROM AUTHOR]

Background: Food fussiness (FF) is common in early childhood and is often associated with the rejection of nutrient-dense foods such as vegetables and fruit. FF and liking for vegetables and fruit are likely all heritable phenotypes; the genetic influence underlying FF may explain the observed genetic influence on liking for vegetables and fruit. Twin analyses make it possible to get a broad-based estimate of the extent of the shared genetic influence that underlies these traits. Objective: We quantified the extent of the shared genetic influence that underlies FF and liking for vegetables and fruit in early childhood with the use of a twin design. Design: Data were from the Gemini cohort, which is a populationbased sample of twins born in England and Wales in 2007. Parents of 3-y-old twins (n = 1330 pairs) completed questionnaire measures of their children's food preferences (liking for vegetables and fruit) and the FF scale from the Children's Eating Behavior Questionnaire. Multivariate quantitative genetic modeling was used to estimate common genetic influences that underlie FF and liking for vegetables and fruit. Results: Genetic correlations were significant and moderate to large in size between FF and liking for both vegetables (20.65) and fruit (20.43), which indicated that a substantial proportion of the genes that influence FF also influence liking. Common genes that underlie FF and liking for vegetables and fruit largely explained the observed phenotypic correlations between them (68-70%). Conclusions: FF and liking for fruit and vegetables in young children share a large proportion of common genetic factors. The genetic influence on FF may determine why fussy children typically reject fruit and vegetables. [ABSTRACT FROM AUTHOR]

Background: High food responsiveness (FR) and low satiety responsiveness (SR) are 2 appetitive traits that have been associated longitudinally with risk of excessive weight gain; however, to our knowledge, no studies have examined the associations between these traits and eating patterns in daily life in young children. Objective: We tested the hypothesis that higher FR is independently associated with a higher meal frequency and that lower SR is associated with a larger meal size. Design: Data were from 1102 families (2203 children) from the Gemini twin birth cohort. Appetite was assessed with the use of the Child Eating Behavior Questionnaire when the children were 16 mo old (mean ± SD: 15.73 ± 1.08 mo old), and meal frequency (eating occasions per day) and meal size (kilojoules per eating occasion) were determined from 3-d diet diaries completed by parents when the children were 21 mo old (mean ± SD: 20.65 ± 1.10 mo old). Complex samples general linear models were used to explore cross-sectional associations between appetitive traits and meal variables. Results: After adjustment for the covariates gestational age, birth weight, sex, difference in age at diet-diary completion, and appetite measurement, higher FR was associated with more-frequent meals (B ± SE: 0.13 ± 0.04; P = 0.001) but not with meal size (P = 0.41), and lower SR was associated with a larger meal size (B ± SE: -47.61 ± 8.79; P < 0.001) but not with meal frequency (P = 0.15). Conclusions: FR and SR predict different eating variables with more food-responsive children eating more frequently, whereas less--satiety-responsive children eat more food on each eating occasion. Different strategies may be required to reduce the potential effects of FR and SR on weight gain. [ABSTRACT FROM AUTHOR]

Background: Appetitive traits and food preferences are key determinants of children's eating patterns but it is unclear how these behaviours relate to one another. This study explores relationships between appetitive traits and preferences for fruits and vegetables, and energy dense, nutrient poor (noncore) foods in two distinct samples of Australian and British preschool children. Methods: This study reports secondary analyses of data from families participating in the British GEMINI cohort study (n = 1044) and the control arm of the Australian NOURISH RCT (n = 167). Food preferences were assessed by parent-completed questionnaire when children were aged 3-4 years and grouped into three categories; vegetables, fruits and noncore foods. Appetitive traits; enjoyment of food, food responsiveness, satiety responsiveness, slowness in eating, and food fussiness were measured using the Children's Eating Behaviour Questionnaire when children were 16 months (GEMINI) or 3-4 years (NOURISH). Relationships between appetitive traits and food preferences were explored using adjusted linear regression analyses that controlled for demographic and anthropometric covariates. Results: Vegetable liking was positively associated with enjoyment of food (GEMINI; β = 0.20 ± 0.03, p < 0.001, NOURISH; β = 0.43 ± 0.07, p < 0.001) and negatively related to satiety responsiveness (GEMINI; β = -0.19 ± 0.03, p< 0.001, NOURISH; β = -0.34 ± 0.08, p < 0.001), slowness in eating (GEMINI; β = -0.10± 0.03, p = 0.002, NOURISH; β= -0.30 ± 0.08, p< 0.001) and food fussiness (GEMINI; β = -0.30 ± 0.03, p < 0.001, NOURISH; β =-0.60 ± 0.06, p< 0.001). Fruit liking was positively associated with enjoyment of food (GEMINI; β = 0.18 ± 0.03, p< 0.001, NOURISH; β = 0.36 ± 0.08, p < 0.001), and negatively associated with satiety responsiveness (GEMINI; β = -0.13 ± 0.03, p< 0.001, NOURISH; β = -0.24 ± 0.08, p = 0.003), food fussiness (GEMINI; β = -0.26 ± 0.03, p < 0.001, NOURISH; (3 = -0.51 ± 0.07, p < 0.001) and slowness in eating (GEMINI only; β = -0.09 ± 0.03, p = 0.005). Food responsiveness was unrelated to liking for fruits or vegetables in either sample but was positively associated with noncore food preference (GEMINI; β = 0.10 ±0.03, p = 0.001, NOURISH; β = 0.21 ± 0.08, p = 0.010). Conclusion: Appetitive traits linked with lower obesity risk were related to lower liking for fruits and vegetables, while food responsiveness, a trait linked with greater risk of overweight, was uniquely associated with higher liking for noncore foods. [ABSTRACT FROM AUTHOR]

Background: Health professionals identify food provision in the home as a key influence on children's food preferences. In contrast, parents often perceive children's food preferences to be inborn. One explanation for this discrepancy could be that environmental and genetic influences vary by food type. Objective: We assessed genetic and environmental contributions to preferences for a wide variety of foods in a large pediatric twin sample. Design: Data were from Gemini, which is a cohort of UK twins born in 2007. Preferences for 114 foods were assessed by parent-completed questionnaire when children were aged 3 y (n = 2686). Foods tried by >75% of respondents were grouped into protein, vegetables, fruit, dairy, starches, and snacks. Quantitative model-fitting analyses were used to assess genetic and environmental influences for each food group. Results: The genetic influence was higher for vegetables (54%; 95% CI: 47%, 63%), fruit (53%; 95% CI: 45%, 61%), and protein (48%; 95% CI: 40%, 57%) but lower for starches (32%; 95% CI: 26%, 38%), snacks (29%; 95% CI: 24%, 35%), and dairy (27%; 95% CI: 20%, 35%). In contrast, shared-environment effects were higher for snacks (60%; 95% CI: 54%, 65%), starches (57%; 95% CI: 51%, 62%), and dairy (54%; 95% CI: 47%, 60%) and lower for vegetables (35%; 95% CI: 27%, 42%), fruit (35%; 95% CI: 26%, 43%), and protein (37%; 95% CI: 27%, 45%). Nonshared environment effects were small for all foods (11-19%). Conclusions: Both genetic and environmental effects were significant for all food groups, but genetic effects dominated for more nutrient-dense foods (vegetables, fruit, and protein), whereas shared environmental effects dominated for snacks, dairy, and starches. These findings endorse the view of health professionals that the home environment is the main determinant of children's liking for energy-dense foods implicated in excessive weight gain but suggest that parents are also correct by identifying innate differences in liking, particularly for nutrient-dense foods that parents and health educators try to encourage. [ABSTRACT FROM AUTHOR]

Background: The behavioral susceptibility model proposes that inherited differences in traits such as appetite confer differential risk of weight gain and contribute to the heritability of weight. Evidence that the FTO gene may influence weight partly through its effects on appetite supports this model, but testing the behavioral pathways for multiple genes with very small effects is not feasible. Twin analyses make it possible to get a broad-based estimate of the extent of shared genetic influence between appetite and weight. Objective: The objective was to use multivariate twin analyses to test the hypothesis that associations between appetite and weight are underpinned by shared genetic effects. Design: Data were from Gemini, a population-based birth cohort of twins in = 4804) born in 2007. Infant weights at 3 mo were taken from the records of health professionals. Appetite was assessed at 3 mo for the milk-feeding period by using the Baby Eating Behaviour Questionnaire (BEBQ), a parent-reported measure of appetite [enjoyment of food, food responsiveness, slowness in eating (SE), satiety responsiveness (SR), and appetite size (AS)]. Multivariate quantitative genetic modeling was used to test for shared genetic influences. Results: Significant correlations were found between all BEBQ traits and weight. Significant shared genetic influence was identified for weight with SE, SR, and AS; genetic correlations were between 0.22 and 0.37. Shared genetic effects explained 41-45% of these phenotypic associations. Conclusion: Differences in weight in infancy may be due partly to genetically determined differences in appetitive traits that confer differential susceptibility to obesogenic environments. [ABSTRACT FROM AUTHOR]

Background: Differences in appetitive traits such as food-cue or satiety responsiveness have been hypothesized to contribute to variability in weight gain. However, existing data were largely cross-sectional and could not exclude the possibility that differences in appetitive traits were consequences of differences in weight. Objective: We tested whether prospective associations between appetitive traits and subsequent weight were stronger than associations between weight and subsequent appetitive traits. Design: Data were from Gemini, which is a population-based cohort of 2402 families with twins. Parents completed a Baby Eating Behavior Questionnaire to assess 4 appetitive traits for each twin at ages 3 and 15 mo. We obtained infant weights at 3, 9, and 15 mo from records of health professionals. Weight SD scores were calculated by using UK 1990 reference data. A path analysis was used to examine prospective associations in each direction over sequential 6-mo intervals and over the same 12-mo period, with the significance of differences between the 2 paths established with bootstrapping. Results: Path analyses included 2213 infants. For each appetitive trait, the path to subsequent weight (standardized coefficients: 0.17-0.33) was significantly larger than the path from weight to subsequent appetite (coefficients: 0.07-0.13). Results were confirmed when both associations were analyzed by using changes from 3 to 15 mo. Conclusion: Longitudinal analyses showed that associations between appetitive traits and subsequent weight were stronger than between weight and subsequent appetite, which supports the idea that differences in appetitive traits, in conjunction with environmental opportunities to overeat, influence weight gain in early childhood. [ABSTRACT FROM AUTHOR]

Background and objective: Parental control over feeding has been linked to child overweight. Parental control behaviours have been assumed to be exogenous to the child, but emerging evidence suggests they are also child-responsive. This study tests the hypothesis that parental control in early infancy is responsive to infant appetite and weight. Subjects and methods: Participants were 1920 mothers from the Gemini twin cohort, using one randomly selected child per family. Data come from questionnaires completed when the children were approximately 8 months. Mothers completed measures of ‘pressure’ and ‘restriction’, reported feeding method (breast- and bottle feeding), rated their infant's appetite during the first 3 months, provided health professional recorded weight measurements, and reported their concerns about their infant's weight. Logistic regression examined predictors of ‘pressure’ and ‘restriction’, adjusting for maternal demographics and BMI. Interactions between feeding method and control were also tested. Results: ‘Pressure’ was associated with lower birth weight (OR = 0.79, 95% CI: 0.65–0.97), greater concern about underweight (OR = 1.88, 1.29–2.75), and lower infant appetite (OR = 0.59, 0.47–0.75). ‘Restriction’ was associated with higher appetite (OR = 1.44, 1.09–1.89) and bottle feeding (OR = 2.86, 2.18–3.75). A significant interaction with feeding method indicated that infants with high appetites were more likely to be restricted only if they were bottle-fed (OR = 1.52, 1.13–2.04). Conclusion: Mothers vary in their levels of control over milk-feeding and this is partly responsive to the infant's characteristics. They tend to pressure infants who are lighter and have a smaller appetite, and restrict infants with larger appetites if they are bottle-fed. Guidance on infant feeding may be better received if it acknowledges that parents respond to infant characteristics in order to achieve their feeding goals. [ABSTRACT FROM AUTHOR]

BACKGROUND: Sleep duration is attracting increasing attention in relation to chronic disease risk, but few large-scale studies have investigated the determinants of sleep characteristics in early life. In this study we used data from a large, population-based twin study to examine genetic and environmental influences on sleep duration and sleep difficulties in infancy. METHODS: Participants were 1931 pairs of young twins (3862 children) from the Gemini twin birth cohort. Sleep patterns were assessed at 15 months by using a modification of the Brief Infant Sleep Questionnaire completed by parents. Outcomes included nighttime and daytime sleep duration and frequency of night waking. RESULTS: Twin analyses showed that nighttime sleep duration was predominantly influenced by the shared environment (66%, confidence interval [CI] 63%-70%) with a modest genetic effect (26%, CI 22%-30%). A similar pattern was observed for daytime nap duration (shared environment: 57%, CI 53%-62%; genetic effect: 37%, CI 33%-41%) and sleep disturbance (shared environment: 55%, 44%-64%) with a genetic effect of 40% (30%-51%). These estimates were similar for boys and girls. CONCLUSIONS: These results indicate an important contribution of the shared family environment as well as genes to children's sleep behavior. There is a need for research to identify specific environmental determinants that could provide targets for interventions to improve sleep quality. [ABSTRACT FROM AUTHOR]

Understanding the mechanisms through which deprivation predisposes a child to increased obesity risk is key to tackling health inequality. Appetite avidity is a key driver of variation in early weight gain. Low socioeconomic status (SES) can be a marker of a more 'obesogenic' food environment which may encourage the behavioural expression of appetite avidity. The objective was to test the hypothesis that children of lower SES demonstrate increases in appetite avidity from toddlerhood to five years. Data were from the Gemini twin birth cohort, with one twin per family selected at random. Parents completed the Child Eating Behaviour Questionnaire (CEBQ) to assess appetitive traits at 16 months and five years. SES was defined using a weighted composite measure comprising seven key correlates. Linear regression models examined the cross-sectional and prospective associations between SES and appetite from 16 months to 5 years, controlling for appetite at 16 months, sex, birth weight and parental BMI. Cross-sectionally, lower SES was significantly associated with higher food responsiveness (β = -0.09 ± 0.024), higher enjoyment of food (β = -0.13 ± 0.024), lower satiety responsiveness (β = 0.09 ± 0.024), and lower food fussiness (β = 0.09, ±0.024) at 16 months. At age 5, lower SES was significantly associated with higher food responsiveness (β = -0.10 ± 0.032), higher desire to drink (β = -0.22 ± 0.031) and higher emotional overeating (β = -0.10 ± 0.032). Prospectively, lower SES predicted greater increases in two key weight-related appetitive traits, from 16 months to 5 years: emotional overeating (β = -0.10 ± 0.032; p < 0.01) and food responsiveness (β = -0.09, ±0.030; p < 0.01). The results indicate that appetite may be a behavioural mediator of the well-established link between childhood deprivation and obesity risk. [ABSTRACT FROM AUTHOR]

The Child Eating Behaviour Questionnaire (CEBQ) is a validated parent-report measure of appetitive traits associated with weight in childhood. There is currently no matched measure for use in adults. The aim of this study was to adapt the CEBQ into a self-report Adult Eating Behaviour Questionnaire (AEBQ) to explore whether the associations between appetitive traits and BMI observed in children are present in adults. Two adult samples were recruited one year apart from an online survey panel in 2013 (n = 708) and 2014 (n = 954). Both samples completed the AEBQ and self-reported their weight and height. Principal component analysis (PCA) was used to derive 35 items for the AEBQ in Sample 1 and confirmatory factor analysis (CFA) was used to replicate the factor structure in Sample 2. Reliability of the AEBQ was assessed using Cronbach's α and a two week test-retest in a sub-sample of 93 participants. Correlations between appetitive traits measured by the AEBQ and BMI were calculated. PCA and CFA results showed the AEBQ to be a reliable questionnaire (Cronbach's α > 0.70) measuring 8 appetitive traits similar to the CEBQ [Hunger (H), Food Responsiveness (FR), Emotional Over-Eating (EOE), Enjoyment of Food (EF), Satiety Responsiveness (SR), Emotional Under-eating (EUE), Food Fussiness (FF) and Slowness in Eating (SE)]. Associations with BMI showed FR, EF (p < 0.05) and EOE (p < 0.01) were positively associated and SR, EUE and SE (p < 0.01) were negatively associated. Overall, the AEBQ appears to be a reliable measure of appetitive traits in adults which translates well from the validated child measure. Adults with a higher BMI had higher scores for 'food approach' traits (FR, EOE and EF) and lower scores for 'food avoidance' traits (SR, EUE and SE). [ABSTRACT FROM AUTHOR]