Parental Communication About Body Weight and Adolescent Health: The Role of Positive and Negative Weight-Related Comments.

OBJECTIVE: Research has consistently documented adverse effects of parent weight-related comments on adolescent health. However, little empirical attention has focused on isolating the impact of weight-related comments from mothers versus fathers, and the valence of their comments. The present study examined the extent to which positive and negative weight-related comments from mothers and fathers are related to adolescent health and wellbeing, and whether these associations differ according to adolescent sociodemographic characteristics. METHODS: Data were collected from a diverse sample of 2032 U.S.-based adolescents aged 10-17 years (59% female; 40% White, 25% Black or African American, 23% Latinx). Online questionnaires assessed perceived frequency of negative and positive weight-related comments from mothers and fathers, as well as four indicators of adolescent health and wellbeing: depression, unhealthy weight control behaviors, weight bias internalization (WBI), and body appreciation. RESULTS: More frequent negative weight-related comments from parents were associated with poorer adolescent health and wellbeing, while positive comments contributed to lower levels of WBI and body appreciation; these associations were documented regardless of whether mothers or fathers were the source of such comments, and considerable consistency was demonstrated across adolescent sociodemographic characteristics. CONCLUSION: Findings highlight differences in adolescent health based on how parents discuss their body weight (i.e., negatively or positively), and similarity in associations regardless of whether mothers or fathers are the source of weight communication. These findings reiterate the importance of efforts to educate parents on ways to engage in supportive communication about weight-related health with their children.

Parental perceptions of actual and ideal body weight in early childhood prospectively predict adolescent perceptions of actual and ideal body weight among a low-income population.

PURPOSE: To examine the longitudinal associations between parental perceptions of their child's actual weight (PPCA = parental perception of child's actual) and ideal weight (PPCI = parental perception of child ideal) in early childhood and the child's own perceptions of their actual weight (APA = adolescent perceived actual) and ideal weight (API = adolescent perceived ideal) during early adolescence among a low-income population. METHODS: Using a longitudinal study design, 136 child/parent pairs were asked to assess the child's actual and ideal weight using figure rating scales. When children were 4-7 years old, parents reported on their perception of their child's weight; when children were 10-12 years old, the child reported on their own weight perceptions. Actual weight, ideal weight, and the difference between ideal and actual weight perception were assessed at the respective timepoints. Regressions were used to examine the relationship between parental weight perceptions (PPCA and PPCI) and later adolescent weight perception (APA and API). RESULTS: On average, PPCI was higher than PPCA, whereas API was lower than APA. We found a positive relationship between PPCI and API (ß = 0.309, p = .029). PPCA was positively associated with API (ß = 0.304, p = .015) and marginally positively associated with the APA (ß = 0.242, p = .077). However, the difference between PPCI and PPCA did not predict either APA or API. CONCLUSIONS: Parental perception of their child's weight may relate to the adolescent's weight perception, particularly ideal weight. However, several null and marginal associations suggest that parental weight perception in early childhood may not be the most salient factor in determining weight perception in early adolescence. LEVEL OF EVIDENCE: Level III, well-designed longitudinal cohort study.

Weight status and diets of children aged 1-12 years attending a tertiary public paediatric outpatient clinic.

AIM: To assess the weight status and diets of a sample of paediatric outpatients, explore the relationship between the two and compare child weight status with parental perception of child weight and parents' self-reported weight. METHODS: Parents/carers of 1-12-year-olds attending paediatric outpatients at Flinders Medical Centre, South Australia, between October 2015 and May 2016 completed a demographic and validated age-based dietary questionnaire (toddlers (1-3 years), pre-schoolers (>3 to <5 years) or children (5-12 years)). Dietary risk scores (low/moderate/high/very high) were calculated for toddlers and pre-schoolers and diet quality and food behaviours scores for children. Body mass index (BMI) z-score and weight status were determined from measured height and weight. RESULTS: Of 114 toddlers, 115 pre-schoolers and 250 children, 65% were of a healthy weight, 10% underweight and 25% overweight or obese. Most (~80%) toddlers and pre-schoolers had diets classified as 'moderate' risk, and the diets (35-90%) and behaviours (90%) of most 5-12-year-olds fell short of the guidelines. There was no significant relationship between overall diet risk or quality and BMI z-score. Healthier food behaviours scores were inversely correlated with BMI z-scores (ß -0.061, 95% confidence interval (CI) -0.089, -0.033, P < 0.005). Parents' perception of child weight status was inaccurate. Parent's self-reported weight status was significantly associated with the BMI z-scores of toddlers (ß 0.301, 95% CI 0.189-1.174, P = 0.007) and pre-schoolers (ß 0.220, 95% CI 0.032-0.859, P = 0.035). CONCLUSIONS: Poor diets and high rates of overweight/obesity highlight the need for screening within the paediatric outpatient setting. Parents' own weight status, and their inaccurate perception of their child's, should be considered future intervention targets for improving child and parent health.

Preschool-Age Chinese Children's Weight Status: WHO Classification, Parent Ratings, Child/Family Characteristics.

PURPOSE: We aimed to compare preschool-age Chinese children's weight status based on the WHO guidelines with parental ratings on their children's body type, and child/family demographic characteristics. METHOD: The sample included 171 preschool-age children (M=60.5months, SD=6.7; boys: 46.8%) randomly selected from 23 classrooms. Based on BMIs from their height and weight from physical examinations, the children were divided into three groups using the 2006 WHO guidelines: underweight (n=46), normal weight (n=65), and overweight (n=60). Data on the parental ratings of children's current body type, ideal body type and child/family demographic characteristics were collected with surveys. RESULTS: Parents' accurately classified 91.1% of the underweight children, 52.3% of the normal weight children, and 61.7% of the overweight children. In terms of ideal body shape for their children, parents typically wanted their children to have normal weight or to remain underweight. Most of the child and family demographic characteristics were not different across children who were underweight, had normal weight, and were overweight. CONCLUSION: Because parents tended to underestimate their children's weight status, it is important to increase Chinese parents' knowledge on what constitutes healthy weight, as well as the potential harm of overweight status for children's development. Training healthcare providers in kindergartens and pediatric clinics to work with parents to recognize unhealthy weight status in children is valuable.

Examining the effect of parent participation in an adult weight management program on changes in children's weight.

Children of parents participating in weight management programs (WMPs) are more likely to adopt their parents' weight control practices. Little is known about the weight outcomes of children who have a parent participating in a WMP. This study aimed to assess this relationship. Children 2-17 years of age with a parent who participated in a WMP were included in the study. Multilevel linear mixed-effects regression models were used, stratified by child weight status at the time of parental WMP participation (healthy weight, overweight/obesity) to determine change in children's BMIz from before to after parents WMP participation, including covariates of parent BMI and parental feeding practices. Parents (N = 77) were mostly white (76%) and female (84%). Children (N = 114) had a mean age of 10.5 ± 4.6; 47% had overweight or obesity. Children with overweight or obesity prior to their parent's WMP had a decrease in BMIz (-0.68) after the WMP while children with a healthy weight had no significant change. Children with overweight or obesity had a decrease in BMIz from before to after parent's participation in a WMP. Further research is needed to understand changes in family eating practices that occur during and after parent WMP participation.

Relationship Between Childhood Obesity and Autism Spectrum Disorder Varies by Child's Age and Parents' Weight Status in a Sample of Sibling Dyads.

Background: Children with autism spectrum disorder (ASD) are more likely to have obesity compared to children without ASD, but studies may report biased estimates because of limitations accounting for potentially important factors that may differ between these two groups of children. This study of siblings in "simplex" families (i.e., families that include only one offspring with ASD) avoids these potential pitfalls. Methods: The Simons Simplex Collection was used to create sibling dyads comprising a child with a clinically confirmed diagnosis of ASD and a full sibling without ASD within the same biological family. Child obesity, determined from measured heights and weights, was compared across three child age strata (4-7.9, 8-10.9, 11-18.0 years) and by parents' weight status using generalized estimating equations log-binomial regression models. Results: Among 1378 sibling dyads, 4-18 years of age, the prevalence of obesity significantly increased with age, with larger sibling differences at older ages. For ages 4-7.9 years, the obesity prevalence for children with ASD was 15.0% compared to 16.2% for siblings (p = 0.57). For ages 11-18.0 years, prevalence for children with ASD was 30.7% compared to 21.4% for siblings (p = 0.003). Parental obesity significantly affected sibling obesity. Conclusion: From this unique data resource that accounted for shared family environments, the prevalence of obesity diverged significantly at older ages between children with ASD and their full siblings without ASD and was associated with parental obesity status similarly for children with and without a diagnosis of ASD. Recognizing these age-related differences has important implications for targeting preventive interventions.

Influence of FTO (Fat mass and obesity) gene and parental obesity on Brazilian children and adolescents adiposity.

Objectives Evaluate the influence of the genetic variant rs9939609 of the FTO gene on anthropometric characteristics and whether parental obesity is related to children and adolescents being overweight. Methods A total of 2,364 children and adolescents between 6 and 17 years old were genotyped and the lipid profile, plasma glucose level, and anthropometric characteristics were measured to assess adiposity. Results The AA genotype (risk) was associated with higher body mass index (BMI Z-score; p = 0.006), waist circumference (WC; p = 0.001), and triglycerides (p = 0.033). The association of the participants' adiposity characteristics with the parents' BMI and FTO genotypes showed an association of the BMI Z-score when either the mother or father was overweight or obese (p = 0.028 and p = 0.029). In the overweight or obese father/eutrophic mother, we also observe an association of FTO rs9939609 with WC (p = 0.039). The effect of these variables on the risk of obesity was also tested: overweight or obese mother (OR = 1.82, p = 0.041), overweight and obese parents (OR = 3.09, p < 0.0001), and FTO rs9939609 AA genotype (OR = 2.08, p = 0.0004) were associated. With regard to altered WC and high body fat percentage (BF%), either overweight or obese parents (OR = 2.39, p < 0.0001; OR = 1.92, p < 0.002) showed an association. The FTO rs9939609 AA genotype (OR = 1.99, p = 0.0002) was associated with altered WC. Conclusions The results show that parental weight also contributes to obesity and may interact with the FTO genetic make-up.

Childhood obesity and parental reflective functioning: Is there a relation?

BACKGROUND/OBJECTIVE: In recent decades, the prevalence of childhood obesity has increased, with the major implications for public health. However, the factors that contribute to obesity in children are still poorly understood. The present study aimed to investigate the role of parental reflective functioning (PRF) in childhood obesity. METHOD: In a cross-sectional design, 120 sets of parents of 60 children (n = 30 with obesity, age range 6-11) were recruited by local paediatricians. Parents completed the Parental Reflective Functioning Questionnaire. Children's and parents' weight (assessed by BMI), as well as their socio-economic status (SES), were assessed to explore the contribution of PRF in the prediction of children's weight, controlling for parents' weight and SES. RESULTS: t-test showed significant differences with medium effect sizes in BMI, SES and PRF between parents of children with and without obesity. The best model resulted from hierarchical multiple regression analyses and showed that mothers' PRF predicted children's BMI above and beyond the prediction by parents' BMI and SES. CONCLUSIONS: Low maternal PRF could be an important target for intervention strategies, highlighting the need to consider parental responses to children's emotions in the treatment of childhood obesity, particularly in parents with low SES and high BMI.

ANTECEDENTES/OBJETIVO: En las últimas décadas la prevalencia de la obesidad infantil ha aumentad, teniendo implicaciones relevantes por la salud pública, pero hay todavía poca comprensión de los factores que contribuyen a la misma. La finalidad del estudio es investigar el papel de la función reflectiva parental (PRF) en la obesidad infantil. MÉTODO: En un estudio transversal, 120 parejas de padres de 60 niños (30 con obesidad, con edades entre 6 y 11 años) fueron reclutados por pediatras locales. Los padres tuvieron que rellenar el Parental Reflective Functioning Questionnaire. El peso de los niños y de los padres (BMI), así como el estado socio-económico (SES) fueron evaluados para explorar la contribución del PRF a la predicción del peso de los niños, en relación al peso parental y al SES. RESULTADOS: El t-test ha mostrado diferencias significativa entre padres de niños con y sin obesidad en BMI, SES y PRF. El mejor modelo resultado de los análisis de regresión múltiple jerárquica ha mostrado que el PRF materno puede predecir el BMI de los niños más que el BMI paterno y el SES. CONCLUSIONES: Un PRF materno bajo podría representar una diana importante para estrategias de intervención.

Parental weight status and early adolescence body weight in association with socioeconomic factors.

BACKGROUND: Childhood obesity remains a major health issue. The understanding of the multifactorial nature of childhood obesity remains the cornerstone to eliminate the rising trends. This study aimed to examine the association between parental and childhood weight status, in relation to various socioeconomic (SE) factors. METHODS: A cross-sectional survey was conducted including 1190 children aged 10-12 years and their parents, during school years 2014-2016. Primary schools from five Greek counties (including Athens metropolitan area) were randomly selected. Parental and child data were collected through self-administered, anonymous questionnaires. Children's weight status was based on gender- and age-specific tables derived from the International Obesity Task Force body mass index (BMI) cut offs. General Linear Model (GLM), Univariate and multivariate analyses were applied. Multiple logistic regressions was used to determine the association between children and parents' weight status. RESULTS: Childhood prevalence of overweight and obesity was 25.9% (21.8% overweight and 4.1% obese), with prevalence being significantly higher in males (31.7% compared to 21.3%; P for gender differences < 0.001). The percent of overweight and obese male (34.4% and 43.1%) and female children (20.3% and 31.8%) significantly increased with paternal overweight and obesity status, respectively. The same relationship was observed between male children and maternal overweight and obesity status (43.4% and 65.7%). This was not evident among females (27% and 23.2%). Regression analysis showed a significant positive association with parental BMI, a negative association with both parental educational levels (low to high), living space, and parental age (P < 0.05, for all). Children's likelihood of being overweight or obese increased significantly with increasing parental weight status (P < 0.001). CONCLUSIONS: Parental weight status remained the most significant predictive factor for early adolescence obesity among various SE factors. Health promotion strategies should consider parental education as an effective childhood obesity preventive measure.

Implications of parental lifestyle changes and education level on adolescent offspring weight: a population based cohort study - The HUNT Study, Norway.

OBJECTIVE: Obesity tends to cluster in families reflecting both common genetics and shared lifestyle patterns within the family environment. The aim of this study was to examine whether parental lifestyle changes over time, exemplified by changes in weight and physical activity, could affect offspring weight in adolescents and if parental education level influenced the relationship. DESIGN, SETTING AND PARTICIPANTS: The population-based cohort study included 4424 parent-offspring participants from the Nord-Trøndelag Health Study, Norway. Exposition was parental change in weight and physical activity over 11 years, and outcome was offspring weight measured in z-scores of body mass index (BMI) in mixed linear models. RESULTS: Maternal weight reduction by 2-6 kg was significantly associated with lower offspring BMI z-scores: -0.132 (95% CI -0.259 to -0.004) in the model adjusted for education. Parental weight change displayed similar effect patterns on offspring weight regardless of parents' education level. Further, BMI was consistently lower in families of high education compared with low education in the fully adjusted models. In mothers, reduced physical activity level over time was associated with higher BMI z-scores in offspring: 0.159 (95% CI 0.030 to 0.288). Associations between physical activity change and adolescent BMI was not moderated by parental education levels. CONCLUSION: Lifestyle changes in mothers were associated with offspring BMI; reduced weight with lower-and reduced physical activity with higher BMI. Father's lifestyle changes, however, did not significantly affect adolescent offspring's weight. Overall, patterns of association between parental changes and offspring's BMI were independent of parental education levels, though adolescents with parents with high education had lower weight in general.