Factors Influencing Parents’ and Children’s Misperception of Children’s Weight Status: a Systematic Review of Current Research

Blanchet, Rosanne; Kengneson, Cris-Carelle; Bodnaruc, Alexandra Maria; Gunter, Ashley; Giroux, Isabelle

doi:10.1007/s13679-019-00361-1

Cited by 32 publications

(36 citation statements)

References 155 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This prompted the authors to speculate that, beyond differences in study design, in late childhood, weight misperception could imply more "ignorance in accurate perception" rather than "Willful ignorance", probably as a result of the greater influence from media and cultural norms at a later age stage. In line with the literature, children have a higher tendency to misperceive their weight status compared to the parental misperception of children's weight status [38].…”

Section: Discussionsupporting

confidence: 82%

Dietary Patterns, Weight Perception and Obesity Status, among 10–12-Year-Old Children; an Epidemiological Study in Greece

et al. 2021

View full text Add to dashboard Cite

Adherence to certain dietary patterns influences obesity status in both children and adults. Weight perception influences dietary habits. The aim of this study was to examine children’s dietary habits and obesity status, in relation to weight perception. One thousand seven hundred Greek students enrolled in this study during 2014−2016. Children’s characteristics were assessed through validated questionnaires, and weight status was classified according to the criteria of the International Obesity Task Force. Dietary patterns were assessed through exploratory factor analysis. Overall, 52.2% of children characterized themselves as normal weight, 34.5% as low weight, and 13.3% as overweight/obese; 52.5% of children were in accordance with their actual weight status, with girls being more likely to overestimate their weight. Children followed three dietary patterns, i.e., starchy and protein foods, unhealthy/high-fat foods, and healthy foods. Children who followed the healthy dietary pattern and had accurate weight perception (in accordance with their actual weight), had lower odds of being overweight/obese (p < 0.001). Accurate weight perception in conjunction with healthy dietary habits may play a determinant role in the prevention of obesity. From a public health perspective, early identification of children’s weight misperception along with healthy dietary habit promotion shape a crucial role in childhood obesity confrontation.

show abstract

Section: Discussionsupporting

confidence: 82%

Dietary Patterns, Weight Perception and Obesity Status, among 10–12-Year-Old Children; an Epidemiological Study in Greece

et al. 2021

View full text Add to dashboard Cite

show abstract

“…We can see that the most important variable in our CS (Fig. 5) is the Familiar nutri-status perception, which has not explanatory character but shows the parents awareness of the nutritional status of their children, which has anyhow a variable degree of underestimation, especially for overweight/obese children, as we (data not shown) and others have observed 28 . The next-important variable (Relation TEI-TEE(%)) is the questionnairebased percentage of difference between the Total Energy Intake (TEI) and Total Energy Expenditure (TEE), which is a measure of the energy balance of the child.…”

Section: Discussionmentioning

confidence: 50%

Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques

Marcos-Pasero

Colmenarejo

Aguilar-Aguilar

et al. 2021

Sci Rep

View full text Add to dashboard Cite

The increased prevalence of childhood obesity is expected to translate in the near future into a concomitant soaring of multiple cardio-metabolic diseases. Obesity has a complex, multifactorial etiology, that includes multiple and multidomain potential risk factors: genetics, dietary and physical activity habits, socio-economic environment, lifestyle, etc. In addition, all these factors are expected to exert their influence through a specific and especially convoluted way during childhood, given the fast growth along this period. Machine Learning methods are the appropriate tools to model this complexity, given their ability to cope with high-dimensional, non-linear data. Here, we have analyzed by Machine Learning a sample of 221 children (6–9 years) from Madrid, Spain. Both Random Forest and Gradient Boosting Machine models have been derived to predict the body mass index from a wide set of 190 multidomain variables (including age, sex, genetic polymorphisms, lifestyle, socio-economic, diet, exercise, and gestation ones). A consensus relative importance of the predictors has been estimated through variable importance measures, implemented robustly through an iterative process that included permutation and multiple imputation. We expect this analysis will help to shed light on the most important variables associated to childhood obesity, in order to choose better treatments for its prevention.

show abstract

“…Parent reports have been found to be higher than adolescent reports for various food parenting practices, including food availability and accessibility [ 29 , 30 , 101 ], meal routines [ 31 , 102 ], modeling [ 101 ] and food rules [ 29 ]. According to a meta-analysis [ 103 ] and a systematic review [ 104 ], parents are prone to biases in perceptions of their child, such as a lack of awareness of overweight in their own children. If parents do not properly understand what their child is ready to handle in terms of competences and ability to make independent decisions, this may have implications for how well parents are able to recognize that changes are necessary.…”

Section: Discussionmentioning

confidence: 99%

Dutch Preadolescents’ Food Consumption at School: Influence of Autonomy, Competence and Parenting Practices

2021

View full text Add to dashboard Cite

Eating habits appear to become less healthy once children move into adolescence. Adolescence is characterized by increasing independence and autonomy. Still, parents continue influencing adolescents’ eating habits. This cross-sectional study used a Self-Determination Theory perspective to examine how parents can support preadolescents’ food-related autonomy and competence and how these factors are associated with healthy eating motivation and food consumption at school. In addition, the effect of relative healthy food availability at home on preadolescents’ food consumption at school was explored. In total, 142 Dutch preadolescents (mean age 12.18) and 81 parents completed questionnaires. The results showed that preadolescents perceived themselves as having higher food-related autonomy and lower competence to eat healthily as compared to their parents’ perceptions. A path analysis was conducted to test the hypothesized model. Although parental support was positively associated with food-related autonomy, higher food-related autonomy was related to less healthy food intake at school. On the other hand, competence to eat healthily indirectly affected preadolescents’ healthy intake ratio through their healthy eating motivation. Finally, the relative availability of healthy options at home was positively associated with preadolescents’ healthy intake ratio outside the home. Findings from the study advance the understanding of individual and environmental factors that influence eating habits during the key life period of early adolescence. The results may inform interventions aiming to guide preadolescents to make healthy food choices on their own.

show abstract

Factors Influencing Parents’ and Children’s Misperception of Children’s Weight Status: a Systematic Review of Current Research

Cited by 32 publications

References 155 publications

Dietary Patterns, Weight Perception and Obesity Status, among 10–12-Year-Old Children; an Epidemiological Study in Greece

Dietary Patterns, Weight Perception and Obesity Status, among 10–12-Year-Old Children; an Epidemiological Study in Greece

Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques

Dutch Preadolescents’ Food Consumption at School: Influence of Autonomy, Competence and Parenting Practices

Contact Info

Product

Resources

About