Associations between number of siblings, birth order, eating rate and adiposity in children and adults

Socioeconomic and household framework influences in school-aged children's eating habits: Understanding the parental roles

Maternal influences on children's diet have been widely studied, while paternal and household frameworks require further research. This study aimed to evaluate how individual, socioeconomic and household characteristics at birth and 7 years (y) impact children's fruit and vegetable (FV) and energy-dense foods (EDF) intake at 10y, distinguishing maternal and paternal effects. The sample included 2750 children evaluated at 7 and 10y in the Portuguese birth cohort Generation XXI. The children's food intake was assessed through a Food Frequency Questionnaire at both ages, where 4 food groups were defined: FV, 'Sweet foods', 'Salty snacks', and 'Soft drinks'. The associations between food intake at 7y, parents' and children's characteristics, and food intake at 10y were evaluated via binary logistic regression models. Offspring of older mothers with higher age and education, who live with siblings and had higher family income were likelier to have 5 servings of FV daily at 10y. Children eating 5 portions/day of FV at 7y had higher odds of keeping this pattern at 10y. Higher maternal age and education, and father's education decreased the odds of having soft drinks daily at 10y. Higher family income was linked with lower odds of weekly salty snacks and daily sweet foods at 10y. In conclusion, parental education, maternal age, living with siblings, and higher family income influenced children's FV and EDF intake at 10y. Mothers' effects appear to impact children's food intake more than fathers'.

The mediation effect of breastfeeding duration on the relationship between maternal preconception BMI and childhood nutritional risk

BACKGROUND

Higher maternal preconception body mass index (BMI) is associated with lower breastfeeding duration, which may contribute to the development of poor child eating behaviours and dietary intake patterns (components of nutritional risk). A higher maternal preconception BMI has been found to be associated with higher child nutritional risk. This study aimed to determine whether breastfeeding duration mediated the association between maternal preconception BMI and child nutritional risk.

METHODS

In this longitudinal cohort study, children ages 18 months to 5 years were recruited from The Applied Research Group for Kids (TARGet Kids!) in Canada. The primary outcome was child nutritional risk, using The NutriSTEP®, a validated, parent-reported questionnaire. Statistical mediation analysis was performed to assess whether total duration of any breastfeeding mediated the association between maternal preconception BMI and child nutritional risk.

RESULTS

This study included 4733 children with 8611 NutriSTEP® observations. The mean (SD) maternal preconception BMI was 23.6 (4.4) and the mean (SD) breastfeeding duration was 12.4 (8.0) months. Each 1-unit higher maternal preconception BMI was associated with a 0.081 unit higher nutritional risk (95% CI (0.051, 0.112); p < 0.001) (total effect), where 0.011(95% CI (0.006, 0.016); p < 0.001) of that total effect or 13.18% (95% CI: 7.13, 21.25) was mediated through breastfeeding duration.

CONCLUSION

Total breastfeeding duration showed to mediate part of the association between maternal preconception BMI and child nutritional risk. Interventions to support breastfeeding in those with higher maternal preconception BMI should be evaluated for their potential effect in reducing nutritional risk in young children.

Factors associated with eating rate: a systematic review and narrative synthesis informed by socio-ecological model

Accumulating evidence shows associations between rapid eating and overweight. Modifying eating rate might be a potential weight management strategy without imposing additional dietary restrictions. A comprehensive understanding of factors associated with eating speed will help with designing effective interventions. The aim of this review was to synthesise the current state of knowledge on the factors associated with eating rate. The socio-ecological model (SEM) was utilised to scaffold the identified factors. A comprehensive literature search of eleven databases was conducted to identify factors associated with eating rate. The 104 studies that met the inclusion criteria were heterogeneous in design and methods of eating rate measurement. We identified thirty-nine factors that were independently linked to eating speed and mapped them onto the individual, social and environmental levels of the SEM. The majority of the reported factors pertained to the individual characteristics (n = 20) including demographics, cognitive/psychological factors and habitual food oral processing behaviours. Social factors (n = 11) included eating companions, social and cultural norms, and family structure. Environmental factors (n = 8) included food texture and presentation, methods of consumption or background sounds. Measures of body weight, food form and characteristics, food oral processing behaviours and gender, age and ethnicity were the most researched and consistent factors associated with eating rate. A number of other novel and underresearched factors emerged, but these require replication and further research. We highlight directions for further research in this space and potential evidence-based candidates for interventions targeting eating rate.

Maternal Preconception Body Mass Index and Early Childhood Nutritional Risk

BACKGROUND

Risk factors for problematic child eating behaviors and food preferences are thought to begin during the preconception period. It is unknown if maternal preconception body mass index (BMI) is associated with child nutritional risk factors (eg, poor dietary intake and eating behaviors).

OBJECTIVES

We aimed to determine whether maternal preconception BMI was associated with child nutritional risk.

METHODS

In this longitudinal cohort study, a secondary data analysis of children ages 18 mo to 5 y were recruited from The Applied Research Group for Kids (TARGet Kids!), a primary care practice-based research network in Canada. The primary exposure was maternal preconception BMI. The primary outcome was parent-reported child nutritional risk score, measured using the Nutrition Screening for Every Preschooler/Toddler (NutriSTEP), an age-appropriate validated questionnaire. Fitted linear mixed effects models analyzed associations between maternal preconception BMI and child nutritional risk after adjusting for covariates.

RESULTS

This study included 4733 children with 8611 repeated NutriSTEP observations obtained between ages 18 mo to 5 y. The mean (standard deviation [SD]) maternal preconception BMI was 23.6 (4.4), where 73.1% of mothers had a BMI ≤24.9 kg/m2, and 26.9% had a BMI ≥25 kg/m2. The mean (SD) NutriSTEP total score was 13.5 (6.2), with 86.6% at low risk (score <21) and 13.4% at high risk (score ≥21). Each 1 unit increase in maternal preconception BMI was associated with a 0.09 increase in NutriSTEP total score (95% confidence interval [CI]: 0.05, 0.12; P ≤ 0.001). After stratification, each 1 unit increase in maternal BMI was associated with a 0.06 increase in mean NutriSTEP total score (95% CI: 0.007, 0.11; P = 0.025) in toddlers and 0.11 increase in mean NutriSTEP total score (95% CI: 0.07, 0.15; P < 0.001) in preschoolers.

CONCLUSION

Higher maternal preconception BMI is associated with slightly higher NutriSTEP total scores. This provides evidence that the preconception period may be an important time to focus on for improving childhood nutrition. This study was registered at clinicaltrials.gov as NCT01869530.

Longitudinal characterization of determinants associated with obesogenic growth patterns in early childhood

BACKGROUND

Longitudinal assessment of the determinants of obesogenic growth trajectories in childhood can suggest appropriate developmental windows for intervention.

METHODS

Latent class growth mixture modelling was used to identify body mass index (BMI) z-score trajectories from birth to age 6 years in 994 children from a prospective mother-offspring cohort (Chinese, Indian and Malay ethnicities) based in Singapore. We evaluated the early-life determinants of the trajectories as well as their associations with cardiometabolic risk markers at age 6 years.

RESULTS

Five BMI z-score trajectory patterns were identified, three within the healthy weight range, alongside early-acceleration and late-acceleration obesogenic trajectories. The early-acceleration pattern was characterized by elevated fetal abdominal circumference growth velocity, BMI acceleration immediately after birth and crossing of the obesity threshold by age 2 years. The late-acceleration pattern had normal fetal growth and BMI acceleration after infancy, and approached the obesity threshold by age 6 years. Abdominal fat, liver fat, insulin resistance and odds of pre-hypertension/hypertension were elevated in both groups. Indian ethnicity, high pre-pregnancy BMI, high polygenic risk scores for obesity and shorter breastfeeding duration were common risk factors for both groups. Malay ethnicity and low maternal educational attainment were uniquely associated with early BMI acceleration, whereas nulliparity and obesogenic eating behaviours in early childhood were uniquely associated with late BMI acceleration.

CONCLUSION

BMI acceleration starting immediately after birth or after infancy were both linked to early cardiometabolic alterations. The determinants of these trajectories may be useful for developing early risk stratification and intervention approaches to counteract metabolic adversities linked to childhood obesity.

How Parenting and Family Characteristics Predict the Use of Feeding Practices among Parents of Preschoolers: A Cross-Sectional Study in Beijing, China

Parental coercive and structured feeding practices are linked with children’s weight gain. Thus, identifying their predictors will assist in childhood obesity prevention. We explored how parents’ concerns and perceptions of children’s weight, parenting stress, parenting competence, parents’ family roles, and only child status (of both parent and child) predict the use of restriction, pressure to eat, and monitoring practices among parents of preschoolers. Parent–child dyads (n = 2990) were recruited in Beijing in 2019. Parenting competence, parents’ weight perceptions and feeding practices were assessed using the Chinese version of Parenting Sense of Competence Scale and Child Feeding Questionnaire (CFQ), respectively. Parenting stress and other variables were collected through self-administered questionnaires. Multivariate linear associations between parents’ weight perceptions and feeding practices were significant among normal-weight children. Parents’ concerns about children being overweight were positively associated with restriction and monitoring, and negatively associated with pressure to eat. Higher levels of parenting stress and parenting competence significantly improved the adoption of restriction and pressure to eat. Parents’ only child status and that of children had an impact on parents’ feeding practices. The fathers’ feeding preferences were substantially different from what mothers preferred. In conclusion, such parenting and family characteristics significantly influenced feeding practices of preschoolers’ parents. These were long neglected in China.

Eating behaviors in children with down syndrome: Results of a home-use test

Children with Down syndrome (DS) display a disproportionate number of health challenges, including feeding and swallowing difficulties and food texture sensitivities. To start addressing food texture challenges early in life, the aim of this research was to understand mealtime behaviors and identify preferred food textures of children with DS. Children (aged 11 to 58 months) with DS (n = 111) and without (typically developing, TD; n = 107) participated in a home use test evaluating snack products of varying textures. Parents recorded their children's reactions to each food product; a panel of trained coders coded videos for mealtime behaviors. Children were also identified as food texture sensitive (TS) or non-texture sensitive (NTS). Results showed that age, TS, the presence of a DS diagnosis and the TS*DS interaction influenced the child's behaviors to the food products. Children with DS were more likely to increase distance from the food, mouth/suck on the food, and less likely to chew/much on the food compared to children TD. Children with DS also ate significantly less than typically developing children. Similar mealtime behaviors were observed between the children with TD/<30 months of age and children with DS regardless of age (p < .05). While children with DS/TS had a higher disposition for the dissolvable texture, along with products that were salty and cheesy, children with DS/NTS had a greater tolerance for more textures in general, including crunchy and grainy. Overall, this research identified mealtime behaviors in children with DS, determined overall disposition of children with DS to foods of differences sensory properties, and demonstrated the influence of TS on a child's disposition to a food. This research will be extended to develop acceptable and innovative food products for children with DS/TS.

Associations between number of siblings, birth order, eating rate and adiposity in children and adults

Eating quickly is associated with eating larger amounts at mealtimes and faster eaters tend to have a higher BMI. Evidence suggests that sibling structure influences the development of childhood eating behaviours. We hypothesized that number of siblings and birth order might play a role in the development of eating rate. In two UK studies, children in Bristol (n = 132; Study 1) and adults and children in London (adults n = 552, children n = 256; Study 2) reported their eating rate, number of siblings, and birth order. A BMI measurement was obtained and in Study 2 waist circumference was recorded. Ordered logistic regression was used to examine effects of sibling structure on eating rate and linear regression assessed effects of eating rate on BMI. Faster eating was associated with higher BMI and a larger waist, in children and adults (ps < .01). In Study 1, first-born children were twice as likely to eat faster compared to children who were not first-born (P < .04). In Study 2, only-child adults reported eating slower than adults who were not first-born (P < .003). Additionally, higher number of siblings was associated with faster eating rate in children from Bristol (P < .05), but not in children from London. London adults without siblings ate slower than those with two or more (P = .01), but having one sibling was associated with eating faster than having two or more (P = .01). These findings reveal how birth order and number of siblings might influence eating rate. Exploring these relationships through direct observation would be beneficial in future studies.