Maternal Perception of Weight Status and Health Risks Associated With Obesity in Children

Warschburger, Petra; Kröller, Katja

doi:10.1542/peds.2008-1845

Cited by 103 publications

(139 citation statements)

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“…Motivational factors may also be at work, with some parents reluctant (consciously or not) to admit their child has a weight problem. This is in accord with the finding that parents are better at identifying excess weight in unrelated children (Warschburger and Kröller 2009). Negative judgments about one's parenting ability may also be lurking if a child is judged to be overweight (Jain et al 2001).…”

Section: Cultural Impacts and Segmentationsupporting

confidence: 77%

All in the Family? Parental Roles in the Epidemic of Childhood Obesity

2016

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Childhood obesity is a serious global health challenge. Families and consumption are at the nexus of the problem, as childhood weight issues depend significantly on family-related influences (genetic predispositions, physical activities, and household food consumption practices). This article focuses on how a family socializes a child toward or away from obesity. It advances a family consumer socialization framework to characterize key elements and processes.Biological predispositions, parent/family inputs, elements of child development, parent-child interactions, and intergenerational transfer are all major contributors to weight status and life course potentials. Time is also a crucial component, here represented in two forms --linear and cyclical. Drawing on extensive research from other disciplines and related consumer research, five "Foundational Properties" are distilled, representing fundamental tenets underpinning the family's role in this problem. Each property is then used to chart promising opportunities for consumer researchers and others interested in advancing knowledge on this pressing concern.

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Section: Cultural Impacts and Segmentationsupporting

confidence: 77%

All in the Family? Parental Roles in the Epidemic of Childhood Obesity

2016

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“…15,20,22,24,44,45 Educational level is a measure for SES. In addition to educational level, we also used employment and financial status to examine the association between maternal underestimation and SES.…”

Section: Discussionmentioning

confidence: 99%

“…21 Parental perception may be influenced by the child's characteristics (such as age and gender), as well as parental age, educational level/socio-economic status (SES), BMI, and ethnic and/or other socio-cultural factors. 15,20,22,23 Few studies have primarily focused on ethnic differences in the underestimation of children's weight. Most studies in which associations were found between ethnicity and maternal/parental perception were done in the United States.…”

Section: Introductionmentioning

confidence: 99%

Ethnic differences in maternal underestimation of offspring's weight: the ABCD study

et al. 2011

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Objective: To determine the ethnic variation in maternal underestimation of their child's weight status and the explanatory role of socio-economic status (SES), acculturation and parental body mass index (BMI). Method: A multi-ethnic sample of 2769 normal or overweight/obese children (underweight children excluded) aged 5 -7 years was examined (The Amsterdam Born Child and their Development study), comprising five ethnic subgroups: Dutch (n ¼ 1744), African descent (n ¼ 184), Turkish (n ¼ 86), Moroccan (n ¼ 161) and other non-Dutch (n ¼ 592). Data on mothers' perception of their child's weight status (5-point scale from 'too low' to 'too high'), SES, acculturation, parental BMI and the children's height and weight were collected. Underestimation was defined by comparing maternal perception with the actual weight status of her child (International Obesity Task Force guidelines). Ethnic differences in underestimation were calculated in the normal weight and overweight/obese categories. Results: Underestimation ranged from 3.6 (Dutch) to 15.7% (Moroccan) in normal-weight children, and from 73.0 (Dutch) to 92.3% (Turkish) in overweight/obese children. After correction for ethnic differences in child's BMI, higher odds ratios (ORs) for underestimation were found in the Turkish (normal weight: OR 6.83; 95% confidence interval (CI) 2.33 -20.05 and overweight: OR 2.80; 95% CI 1.12 -6.98) and Moroccan (normal weight: OR 11.55; 95% CI 5.28 -25.26) groups (reference is the Dutch group). Maternal educational level and immigrant generation largely explained the ethnic differences, with a minor contribution of maternal age. After correction, ORs remained higher in the Moroccan group (OR 4.37; 95% CI 1.79 -10.62) among the normal-weight children. Conclusion: Mothers frequently underestimate the actual weight status of their child, especially mothers from Turkish or Moroccan origin. Having a lower SES, being first-generation immigrant and a young mother are important determinants in explaining these differences. As weight perceptions may affect weight gain and almost all mothers of overweight/obese children underestimate their child's weight, health professionals should help mothers (particularly those from ethnic minority groups) to acquire a realistic perception of their children's weight status.

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“…Studies [33][34][35][36] have consistently revealed that the majority of parents were not aware of their child' s obesity risk; however, this was not usually due to the inability of parents to identify the weight status of their children but rather their perception of what was considered healthy weight. Studies have also revealed that clinicians only diagnose overweight or obesity in 1.1% to 31% of all overweight children, leading to suboptimal levels of advice given and referrals to appropriate interventions.…”

Section: Figurementioning

confidence: 99%

Estimating Overweight Risk in Childhood From Predictors During Infancy

et al. 2013

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WHAT'S KNOWN ON THIS SUBJECT: Several risk factors for both overweight and obesity in childhood are identifiable during infancy. WHAT THIS STUDY ADDS:A simple risk algorithm can be used to quantify risk of overweight in children. It can be used to help identify at-risk infants in a clinical setting to facilitate targeted intervention.abstract OBJECTIVE: The aim of this study was to develop and validate a risk score algorithm for childhood overweight based on a prediction model in infants. METHODS:Analysis was conducted by using the UK Millennium Cohort Study. The cohort was divided randomly by using 80% of the sample for derivation of the risk algorithm and 20% of the sample for validation.Stepwise logistic regression determined a prediction model for childhood overweight at 3 years defined by the International Obesity Task Force criteria. Predictive metrics R 2 , area under the receiver operating curve (AUROC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.RESULTS: Seven predictors were found to be significantly associated with overweight at 3 years in a mutually adjusted predictor model: gender, birth weight, weight gain, maternal prepregnancy BMI, paternal BMI, maternal smoking in pregnancy, and breastfeeding status. Risk scores ranged from 0 to 59 corresponding to a predicted risk from 4.1% to 73.8%. The model revealed moderately good predictive ability in both the derivation cohort (R 2 = 0.92, AUROC = 0.721, sensitivity = 0.699, specificity = 0.679, PPV = 38%, NPV = 87%) and validation cohort (R 2 = 0.84, AUROC = 0.755, sensitivity = 0.769, specificity = 0.665, PPV = 37%, NPV = 89%).CONCLUSIONS: Using a prediction algorithm to identify at-risk infants could reduce levels of child overweight and obesity by enabling health professionals to target prevention more effectively. Further research needs to evaluate the clinical validity, feasibility, and acceptability of communicating this risk.

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Maternal Perception of Weight Status and Health Risks Associated With Obesity in Children

Cited by 103 publications

References 30 publications

All in the Family? Parental Roles in the Epidemic of Childhood Obesity

All in the Family? Parental Roles in the Epidemic of Childhood Obesity

Ethnic differences in maternal underestimation of offspring's weight: the ABCD study

Estimating Overweight Risk in Childhood From Predictors During Infancy

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