Elsevier

Appetite

Volume 126, 1 July 2018, Pages 8-15
Appetite

Oral processing behaviours that promote children's energy intake are associated with parent-reported appetitive traits: Results from the GUSTO cohort

https://doi.org/10.1016/j.appet.2018.03.011Get rights and content

Abstract

Oral processing behaviours associated with faster eating rates have been consistently linked to increased energy intakes, but little is known about their links to children's appetitive traits. This study used the Child Eating Behaviour Questionnaire (CEBQ) to explore cross-sectional and prospective associations between parent-reported appetitive traits and observed oral processing behaviours. Participants were 195 children from the Growing Up in Singapore Towards healthy Outcomes cohort, who participated in a video-recorded ad libitum lunch at 4.5 (Time 1) and 6 years (Time 2). Their mothers completed the CEBQ around the same time points. Children's bites, chews and swallows were coded, and used to calculate their eating rate, bite size, chews per bite, chew rate, oral exposure time and oral exposure per bite. At Time 1, children with higher scores in slowness in eating had lower eating and chew rates. At Time 2, higher scores for food enjoyment and lower for satiety responsiveness, slowness in eating, and food fussiness were linked with higher eating rates and greater energy intakes (r > 0.16, p < 0.05). Post-hoc analyses revealed that these associations were moderated by BMI and only present among children with higher BMI. Faster eating rates mediated the associations between greater food enjoyment, lower slowness in eating, lower food fussiness and higher intakes of energy. Children with higher slowness in eating scores had lower increases in eating rates over time, and children with higher BMI who had greater food enjoyment and food responsiveness scores had greater increases in eating rates over time. The findings suggest that oral processing behaviours linked with increased obesity risk may be underpinned by appetitive traits and may be one of the behavioural pathways through which these appetitive traits influence energy intakes.

Introduction

An early predisposition to accumulate excess fat has been linked with genetic and epigenetic factors, as well as features of the early food environment (Chong, Teh, Poh, & Noor, 2014; Gluckman & Hanson, 2008; Lin et al., 2017; McAllister et al., 2009; Rhee, Phelan, & Mccaffery, 2012). It has been previously proposed that a pathway between genetic factors and future obesity risk is mediated by appetitive traits and eating behaviours that promote greater energy intakes, in what has been referred to as the ‘behavioural susceptibility theory of obesity’ (Llewellyn & Wardle, 2015). Variability in appetitive traits may help to explain why it is not the case that every child brought up in an obesogenic food environment will become obese. Instead, appetitive traits that promote overeating may increase a child's vulnerability to weight gain in an environment characterised by large portions and high availability of palatable, energy dense foods.

Behavioural studies in paediatric populations generally support the idea that children with healthy weight differ from children with overweight in certain appetitive traits. For example, it has been demonstrated that children with overweight tend to have poorer satiety responsiveness, are more responsive to external food cues, such as portion size or food availability, and show higher motivation to work for food compared to children with healthy weight (Jansen et al., 2003; Savage, Haisfield, Fisher, Marini, & Birch, 2012; Temple, Giacomelli, Roemmich, & Epstein, 2007). Psychometric measures have been developed to capture different aspects of these appetitive traits in children, of which the Children's Eating Behaviour Questionnaire (CEBQ: Wardle, Guthrie, Sanderson, & Rapoport, 2001) is considered to be the most comprehensive and widely used. This questionnaire measures eight dimensions of appetitive traits that describe food approach and food avoidance behaviours. Food approach behaviours captured in the CEBQ include food responsiveness, enjoyment of food, desire to drink and emotional over-eating, while food avoidance behaviours are comprised of slowness in eating, emotional under-eating, food fussiness and satiety responsiveness. Previous studies have demonstrated positive associations between food approach subscales of the CEBQ and children's BMI, while food avoidance behaviours have typically been associated with lower weight (Sleddens, Kremers, & Thijs, 2008; Viana, Sinde, & Saxton, 2008; Webber, Hill, Saxton, Van Jaarsveld, & Wardle, 2009). However, it is important to identify specific behaviours through which these appetitive traits are expressed.

Oral processing behaviours are hypothesised to be one of the behavioural markers of appetitive traits (Wardle & Carnell, 2009). Eating rate has been shown to be heritable (Llewellyn, Van Jaarsveld, Boniface, Carnell, & Wardle, 2008), consistent within an individual (Hubel, Laessle, Lehrke, & Jass, 2006; McCrickerd & Forde, 2017) and stable over time (Berkowitz et al., 2010). Studies in adult and child populations show that faster eating rates promote energy intake during an ad libitum meal and are linked with a higher risk of unhealthy weight gain and obesity (Chei, Toyokawa, & Kano, 2005; Drabman et al., 1977, 1979; Llewellyn et al., 2008; Maruyama et al., 2008; Ochiai et al., 2012, 2016; Ohkuma et al., 2015; Otsuka et al., 2006; Robinson et al., 2014; Sasaki, Katagiri, Tsuji, Shimoda, & Amano, 2003; Tanihara et al., 2011). We recently demonstrated that 4.5 year old children who ate a meal at faster rates consumed on average 75% more energy than children who ate at slower rates, and had higher BMI and whole-body and abdominal adiposity (Fogel et al., 2017a). Using an observational approach to objectively characterise a child's eating behaviours within a meal, we have identified an “obesogenic eating style” characterised by eating faster and taking larger bites that spend less time in mouth and are processed using fewer chews. Importantly, these oral processing behaviours consistently predicted higher energy intakes, particularly when combined with longer total meal duration (Fogel et al., 2017b). While overweight children were significantly more likely to eat faster, there were a number of healthy weight children who were also eating at faster rates (Fogel et al., 2017a), suggesting that perhaps this behaviour may only be problematic when it co-occurs with other appetitive traits that support increased energy intake and/or occurs in the presence of an obesogenic food environment.

Little is known about how oral processing behaviours relate to other appetitive traits. In the original studies that led to the development of the CEBQ, items from the slowness in eating subscale loaded together with the satiety responsivity subscale, indicating that these two behaviours may co-occur and be highly correlated and characterised by the same parent-reported behaviours (Wardle et al., 2001). One study that focused on selected subscales from the CEBQ has shown that slower measured eating rates were associated with higher satiety responsiveness, as well as lower food responsiveness and lower enjoyment of food in a sample of 4–5 year old children (Carnell & Wardle, 2007), highlighting that specific appetitive traits may underlie faster eating rates. Whether these appetitive traits map onto different parameters of children's oral processing such as bite size, chew rate or oral exposure per bite remains unclear. As one of the subscales of the CEBQ directly assesses child's slowness in eating, it is important to understand what parameters of oral processing, such as eating rate, eating duration or both, are captured in that parent-reported scale. More broadly, understanding how appetitive traits are linked with specific oral processing parameters will help design intervention strategies targeting specific oral processing behaviours (such as large bite size) that can be observed by parents, in an effort to reduce faster eating rates, which are a risk factor for overeating and unhealthy weight gain.

The aim of the current study was to investigate whether parent-reported appetitive traits are linked with children's oral processing behaviours at 4.5 and 6 years old. We further sought to explore whether appetitive traits reported by parents in the CEBQ could predict children's prospective oral processing behaviours. We hypothesised that faster eating rates and the associated oral processing parameters would be positively associated with food approach behaviours (i.e. enjoyment if food, desire to drink, emotional over-eating) and negatively associated with food avoidance behaviours (i.e. food fussiness, satiety responsiveness and emotional under-eating). We further hypothesised that the slowness in eating subscale would be negatively associated with eating rates and positively associated with meal duration.

Section snippets

Sample

The participants in this study were child and mother pairs from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort (N = 1247), who attended an ad libitum lunch at 4.5 and 6 years of age. Eligibility criteria and the GUSTO study profile are described elsewhere (Soh et al., 2014). Selection criteria for participation in the lunch task are described in the participant flowchart (Supplementary material A). At 4.5 years (±2 months; Time 1), 484 children and their mothers attended a

Statistical analysis

Items within the subscales of the CEBQ have been averaged to control for the missing data from individual questions, in line with previously published approaches (Carnell & Wardle, 2007). Mean scores for the subscales of the CEBQ and oral processing behaviours at Time 1 and Time 2 are presented in supplementary material B. Scores for individual CEBQ subscales did not show normal distribution at either time point, so they were log transformed, which improved normality. Correlation analyses

Unadjusted cross-sectional associations between CEBQ and oral processing behaviours

Cross-sectional unadjusted associations between children's scores on the CEBQ subscales and oral processing behaviours measured at Time 1 and Time 2 are presented in Table 2. At Time 1, children who had higher scores for slowness in eating ate food at slower rates, and had a lower rate of chewing, compared to children rated lower in slowness in eating. There was a non-significant trend for children with higher food fussiness scores to eat at slower rates. The association between higher scores

Discussion

The aim of this study was to investigate whether parent-reported appetitive traits are associated with, and predictive of, children's oral processing behaviours and energy intake. The results show that parent-reported appetitive traits are linked with children's measured oral processing behaviours, predict changes in oral processing behaviours over time, and to some extent may be moderated by BMI.

Children with higher scores for food enjoyment, and lower scores for food fussiness, slowness in

Conclusions

The current study showed that children's appetitive traits reported in the CEBQ were associated with the oral processing behaviours they exhibit when consuming a meal. These associations were stronger among children with higher BMI. Oral processing behaviours, such as eating rate, may be the behavioural markers of appetitive traits and a mediator between appetite and energy intakes, particularly among children with higher weight. Future studies should further investigate these associations at

Ethics approval and consent to participate

Informed written consent was obtained from participants, and the study was approved by the National Healthcare Group Domain Specific Review Board and SingHealth Centralized Institutional Review Board.

Conflicts of interest

K. M. G., Y. S. L., Y.-S. C. and CGF have received reimbursement for speaking at conferences sponsored by companies selling nutritional products. They are part of an academic consortium that has received research funding from Abbott Nutrition, Nestec and Danone. Lisa Fries is an employee of Nestec SA, working at the Nestlé Research Center. The other authors have no financial or personal conflict of interests.

Funding

This work is supported by the Translational Clinical Research (TCR) Flagship Program on Developmental Pathways to Metabolic Disease funded by the National Research Foundation (NRF) and administered by the National Medical Research Council (NMRC), Singapore-NMRC/TCR/004-NUS/2008; NMRC/TCR/012-NUHS/2014. Additional funding is provided by the Singapore Institute for Clinical Sciences, A*STAR and Nestec SA. KMG is supported by the National Institute for Health Research through the NIHR Southampton

Authors' contributions

This study was conceived and designed by CGF, AF, MFFC and LRF. Analyses were performed and interpreted by AF, KMC and CGF. ATG, JYT and MJC collected the data. AF, KMC and CGF prepared the draft manuscript with input from LRF, QPL and MFFC. YSC, KHT, FY, LPS, MJM, BFPB, YSL and KMG were responsible for conception and recruitment for the GUSTO cohort.

All authors reviewed and approved the final draft.

Clinical trial registry number

NCT01174875; https://clinicaltrials.gov/.

Acknowledgements

The GUSTO study group includes: Allan Sheppard, Amutha Chinnadurai, Anne Eng Neo Goh, Anne Rifkin-Graboi, Anqi Qiu, Arijit Biswas, Bee Wah Lee, Birit F.P. Broekman, Boon Long Quah, Borys Shuter, Chai Kiat Chng, Cheryl Ngo, Choon Looi Bong, Christiani Jeyakumar Henry, Claudia Chi, Cornelia Yin Ing Chee, Yam Thiam Daniel Goh, Doris Fok, E Shyong Tai, Elaine Tham, Elaine Quah Phaik Ling, Evelyn Chung Ning Law, Evelyn Xiu Ling Loo, Fabian Yap, Falk Mueller-Riemenschneider, George Seow Heong Yeo,

References (47)

  • K. McCrickerd et al.

    Texture-based differences in eating rate reduce the impact of increased energy density and large portions on meal size in adults

    Journal of Nutrition

    (2017)
  • E. Robinson et al.

    A systematic review and meta-analysis examining the effect of eating rate on energy intake and hunger

    American Journal of Clinical Nutrition

    (2014)
  • J.S. Savage et al.

    Do children eat less at meals when allowed to serve themselves?

    American Journal of Clinical Nutrition

    (2012)
  • S. Tanihara et al.

    Retrospective longitudinal study on the relationship between 8-year weight change and current eating speed

    Appetite

    (2011)
  • J.L. Temple et al.

    Overweight children habituate slower than non-overweight children to food

    Physiology & Behavior

    (2007)
  • M. Viskaal-van Dongen et al.

    Eating rate of commonly consumed foods promotes food and energy intake

    Appetite

    (2011)
  • R.I. Berkowitz et al.

    Identification of an obese eating style in 4-year-old children born at high and low risk for obesity

    Obesity

    (2010)
  • D.P. Bolhuis et al.

    Slow Food: Sustained impact of harder foods on the reduction in energy intake over the course of the day

    PLoS One

    (2014)
  • C. Chei et al.

    Relationship between eating habits and obesity among preschool children in Ibaraki Prefecture, Japan

    Japanese Journal of Health and Human Ecology

    (2005)
  • P.N. Chong et al.

    Etiology of obesity over the life span: Ecological and genetic highlights from Asian countries

    Current Obesity Reports

    (2014)
  • R.S. Drabman et al.

    Developmental trends in eating rates of normal and overweight preschool children

    Child Development

    (1979)
  • A. Fogel et al.

    Faster eating rates are associated with higher energy intakes during an ad libitum meal, higher BMI and greater adiposity among 4.5-year-old children: Results from the growing up in Singapore towards healthy Outcomes (GUSTO) cohort

    British Journal of Nutrition

    (2017)
  • A.L. Ford et al.

    Treatment of childhood obesity by retraining eating behaviour: Randomised controlled trial

    BMJ

    (2010)
  • Cited by (26)

    • The biological foundations of children's food fussiness: Systematic review with narrative synthesis

      2022, Food Quality and Preference
      Citation Excerpt :

      Pliner & Loewen, 1997; Steinsbekk et al., 2017). Decreased speed of eating is also a possible vehicle by which genetic contributions are manifested, which presumably escalates the tendency of being underweight and undernutrition in fussy children through low energy intake (Fogel et al., 2018). Moreover, the genes may relate to bitter taste perception, which in turn affects food preference/acceptance in fussy eaters (Cole et al., 2017).

    • Sensory influences on food choice and energy intake: recent developments and future directions

      2022, Flavor: From Food to Behaviors, Wellbeing and Health, Second Edition
    • Measuring short-term eating behaviour and desire to eat: Validation of the child eating behaviour questionnaire and a computerized ‘desire to eat’ computerized questionnaire

      2021, Appetite
      Citation Excerpt :

      Additionally, the results reported here express the associations with energy intake in terms of kilojoule amounts which reveals the clinical significance of a higher or lower score, rather than just the direction. Previous validations of the CEBQ have presented results as variance (Carnell & Wardle, 2007; Fogel et al., 2018), or as a correlation coefficient (Blissett et al., 2019), and although these give an idea of the relationship between the CEBQ subscales and actual behaviour, they are not ideal for understanding the clinical impact that a change in eating behaviour could have on food intake and energy balance. Furthermore, the study participants were diverse in weight status, with nearly 40 percent of the sample classified as overweight or obese, and included participants from different socio-economic and ethnic backgrounds.

    • Portion size selection in children: Effect of sensory imagery for snacks varying in energy density

      2020, Appetite
      Citation Excerpt :

      In an exploratory way, this research also investigated the moderating role of individual characteristics related to children's eating traits (slowness in eating, restrained eating, food responsiveness, and liking for sweetness and fattiness sensations) and to parental feeding practices (parental food restriction and parental pressure to eat). These factors were chosen because of their likely interaction with sensory imagery (Birch et al., 2001; Fogel et al., 2018; Lange et al., 2018; Monnery-Patris et al., 2011; van Jaarsveld, Llewellyn, Johnson, & Wardle, 2011; Wardle, Guthrie, Sanderson, & Rapoport, 2001). For example, a recent review paper has argued that faster eating, by delaying sensory-specific satiation, may be one of the mechanisms of the portion size effect (Zuraikat, Smethers, & Rolls, 2019).

    View all citing articles on Scopus
    View full text