- Research article
- Open Access
- Open Peer Review
Parental perception of child’s weight status and subsequent BMIz change: the KOALA birth cohort study
© Gerards et al.; licensee BioMed Central Ltd. 2014
- Received: 10 July 2013
- Accepted: 24 March 2014
- Published: 31 March 2014
Parents often fail to correctly perceive their children’s weight status, but no studies have examined the association between parental weight status perception and longitudinal BMIz change (BMI standardized to a reference population) at various ages. We investigated whether parents are able to accurately perceive their child’s weight status at age 5. We also investigated predictors of accurate weight status perception. Finally, we investigated the predictive value of accurate weight status perception in explaining children’s longitudinal weight development up to the age of 9, in children who were overweight at the age of 5.
We used longitudinal data from the KOALA Birth Cohort Study. At the child’s age of 5 years, parents filled out a questionnaire regarding child and parent characteristics and their perception of their child’s weight status. We calculated the children’s actual weight status from parental reports of weight and height at ages 2, 5, 6, 7, 8, and 9 years. Regression analyses were used to identify factors predicting which parents accurately perceived their child’s weight status. Finally, regression analyses were used to predict subsequent longitudinal BMIz change in overweight children.
Eighty-five percent of the parents of overweight children underestimated their child’s weight status at age 5. The child’s BMIz at age 2 and 5 were significant positive predictors of accurate weight status perception (vs. underestimation) in normal weight and overweight children. Accurate weight status perception was a predictor of higher future BMI in overweight children, corrected for actual BMI at baseline.
Children of parents who accurately perceived their child’s weight status had a higher BMI over time, probably making it easier for parents to correctly perceive their child’s overweight. Parental awareness of the child’s overweight as such may not be sufficient for subsequent weight management by the parents, implying that parents who recognize their child’s overweight may not be able or willing to adequately manage the overweight.
- Body Mass Index
- Weight Perception
Childhood overweight and obesity are rapidly increasing public health problems . Preventive interventions are increasingly being aimed at parents of overweight children,  who are responsible for a substantial part of their children’s nutrition and physical activity behaviours. However, parents often fail to recognize their child as overweight [3, 4]: a systematic review on parents’ perceptions of their children’s weight status showed that more than half of the parents of overweight children underestimate their child’s overweight, perceiving their child as normal weight .
Several studies have examined cross-sectional factors related to accurate parental perception of their child’s weight status: lower child birth weight , a higher physical activity level of the child , having a female child [7, 8], higher age of the child , higher parental educational level [7, 10, 11], higher maternal health literacy level , parents being a first-generation immigrant (vs. second-generation)  and higher maternal age , have been found to be associated with accurate parental perception of their child’s weight status. Findings regarding the relationship between parental weight perception and children’s actual BMI have been inconsistent: some studies found a positive association between children’s BMIz (BMI standardized to a reference population) and accurate weight status perception in overweight children, [7, 9] whereas one study found that children’s BMIz were positively associated with underestimation of the children’s overweight status . The relationship between the mother’s weight status and perception of their children’s weight is also still unclear. Some studies showed that higher maternal BMI was associated with underestimation of their children’s weight status [6, 14, 15], while another study found that mothers with a lower BMI were more likely to underestimate their children’s overweight . Discrepant findings may be due to different populations, sampling methods and/or definitions of overweight [7, 9].
It is also important to explore the association between parental weight status perception and subsequent weight change of the child, as this provides an indication of whether parents are able to accurately manage their child’s weight. Kroke et al.  have performed such a longitudinal investigation into the relation between mothers’ perception of the weight status of their children at different ages on the one side, and the children’s actual weight at age 7 on the other side. They compared the BMI change in children whose mothers correctly perceived their child’s weight status with that in children whose mothers did not. They showed that BMIz change was only significantly different between the two groups of mothers for the 6-months-old children: maternal misperception at 6 months was associated with unfavourable subsequent weight development up to age 7. However, the sample sizes of the different subgroups in this study were relatively small, hampering inferences from this study.
No earlier studies have taken account of the child’s prior BMI in predicting parental weight status perception. The aims of the current study were to explore whether parents are able to accurately perceive their child’s weight status (around age 5); to examine predictors of accurate parental weight status perception, including children’s prior BMI at 2 years as a predictor; and to investigate children’s longitudinal subsequent BMIz change up to age 9 years in relation to parental perceptions or misperceptions of their child’s weight status.
Respondents and procedure
The KOALA Birth Cohort Study is a prospective cohort study in the Netherlands which started in 2000. KOALA is a Dutch acronym for Child, Parent, and health: Lifestyle and Genetic constitution. Pregnant women were recruited from an existing cohort from a study of pregnancy-related pelvic girdle pain (N = 2343; regular group). Additional participants were recruited among ‘alternative lifestyle’ circles (e.g., organic food shops, anthroposophist midwives) . This latter group of women could have an alternative lifestyle as regards aspects like child rearing, dietary habits, vaccination schemes or antibiotics use (N = 491; alternative group).
The Medical Ethics Committee of the University Hospital and Maastricht University approved the study. All participants signed an informed consent form. A total of 2834 mothers participated and completed questionnaires during pregnancy as well as at regular intervals after birth.
In the current study, we analysed child and parental characteristics by means of a questionnaire which parents completed when the children were approximately 5 years old (mean 5.01 ± 0.53). Parents were instructed to fill out the questionnaire in collaboration. The total number of questionnaires returned was 2066 (73% of 2834). In addition, we analysed parental reports of the weight and height of their children at the ages of around 2 (mean 1.83 ± 0.32; N = 1735; 84% of the 2066 respondents at age 5), 5 (mean 5.01 ± 0.53; N = 1915; 93%), 6 (mean 6.48 ± 0.61; N = 1475; 71%), 7 (mean 7.19 ± 0.65; N = 1362; 66%), 8 (mean 8.21 ± 0.64; N = 1288; 62%) and 9 (mean 9.16 ± 0.64; N = 1394; 67%). The weight and height of a substantial proportion of the children (N = 372) at the age of 5 were measured by trained research assistants .
Weight status perception
Parental perception of their child’s weight status was assessed around age 5 by the following questions: ‘How would you describe your child’s weight currently?’. Answer categories were: clearly underweight, underweight, normal weight, overweight and clearly overweight. In view of the very small proportions of children classified in the two extreme categories, we recoded the answers into three categories: underweight (including both clearly underweight and underweight), normal weight and overweight (including both overweight and clearly overweight).
At the child’s age of 5, both parents were asked to report their own weight and height, which were used to calculate their body mass index (BMI; weight (kg)/(height (m))2). A BMI below 18.5 kg/m2 was regarded as underweight, and a BMI above 25 kg/m2 as overweight. Additionally, parents were asked to indicate the number of hours they worked per week, their country of birth and their highest completed level of education. Country of birth was recoded into Netherlands vs. other. Education was categorized into three levels: low, medium and high, based on international classification systems  (low: primary school, lower vocational education and lower general secondary education; medium: intermediate vocational education, higher general secondary education and university preparatory education; high: higher vocational education and university). From previous questionnaires, we derived the mother’s age at the birth of the child and the recruitment channel (alternative vs. regular).
The child’s date of birth and gender were derived from previous questionnaires. BMI was recoded into BMIz standardized for age and gender, compared to the national reference population (i.e., the Fourth Dutch National Growth Study) . Weight status was recoded into three categories, based on BMIz: underweight (<5th percentile, BMIz = 1.04), normal weight (5th – 84th percentile, BMIz 1.05 – 1.64) and overweight (≥85th percentile, BMIz = 1.65) .
All statistical analyses were conducted using SPSS 19.0. P-values <0.05 were considered statistically significant. We performed descriptive analyses (means and frequencies) to summarize child and parent background characteristics. Crosstabs were used to compare the distribution of parents who accurately perceived their child’s weight and those who did not at age 5 years, for children of different weight categories. Children who were currently underweight were excluded from further analyses, because they were not our target population.
Predictors of accurate weight status perception
Multiple backward binary logistic regressions were conducted to predict which parents correctly estimated their child’s weight status cross-sectionally at age 5 (1 = accurate perception of child’s weight status, 0 = underestimation of child’s weight status), using child characteristics (BMIz at age 2, BMIz at age 5, gender) as well as parental characteristics (BMI of both parents, age of mother at birth of child, educational level of both parents, country of birth of both parents, employment status of both parents (hours per week) and recruitment channel) as predictors. This was done separately for children with normal weight and overweight at the age of 5. First, the predictors were entered one by one to examine the bivariate correlations. Second, all predictors were entered simultaneously and were then backward-deleted from the model based on their significance level, starting with the predictor with the highest P-value, until only statistically significant predictors were left, in order to adjust for possible confounding. Third, we performed separate analyses including an interaction term between measurement method (weight and height by parental report vs. measured by a trained research assistant) and BMIz in the models, to check whether the results were influenced by the measurement method used for weight and height. In none of the models a significant interaction effect was found between measurement method (self-report vs. measured) and BMIz (P-values all > 0.05). We also evaluated whether the results differed between the regular recruitment channel and alternative recruitment channel by adding an interaction term in the model between recruitment channel and BMIz in the models. None of these interaction terms were statistically significant.
Longitudinal BMIz change
Multivariate backward linear regression analyses were performed for the children who were overweight at age 5, to examine the relationship between accurate parental classification of their child’s weight status at age 5 on the one hand, and subsequent changes in the child’s BMIz over time on the other (from age 5 up to ages 6, 7, 8 and 9 years, respectively). The following covariates were included in the basic model: gender of the child, BMI of both parents, educational level of both parents, country of birth of both parents, employment status of both parents (hours per week) and recruitment channel. Again, the predictors were backward-deleted from the model until only statistically significant predictors were left. We included an interaction term between measurement method (self-report vs. measured) and accurate weight status perception in the analysis to investigate whether we should conduct separate analyses for children whose weight and height were measured and children whose weight and height were self-reported by their parents. In none of the models was a significant interaction effect found between measurement method and accurate weight status perception (P-values all >0.05).
Finally, we entered an interaction term between weight status perception and BMIz at age 5 into these regression models, to explore whether BMIz change was significantly different for children whose parents accurately estimated their child’s weight status as compared to children whose parents underestimated their weight status. The robustness of the analyses was examined by varying the inclusion and coding of the covariates.
Demographics and weight-related characteristics of children and parents of the KOALA cohort around age 5 (N = 1915)
Mean ± sd
5.01 ± 0.53
−0.27 ± 0.99
Normal weight: 83%
Overweight + obesity: 9%
Age at birth of child
32.21 ± 3.78
Country of birth
Employment (hours per week)
17.87 ± 10.93
23.94 ± 3.79
Normal weight: 67%
Overweight + obesity: 32%
Country of birth
Employment (hours per week)
37.89 ± 9.94
25.07 ± 3.09
Normal weight: 53%
Overweight + obesity: 46%
Weight status perception
Parental cross-sectional perception of child’s weight status at age 5 years by the child’s actual weight status at age 5 years
Parental perception of child’s weight status
Actual weight status of child
Predictors of accurate weight status perception
Odds ratios for predictors of accurate parental perception of child’s weight status at 5 years
Accurate parental weight status perceptiona
Odds ratio (95% CI)
Normal weight children
N = 1369
N = 146
BMIz at 2 years
2.39*** (1.72; 3.32)
2.88*** (1.58; 5.26)
BMIz at 5 years
2.92*** (1.72; 4.95)
13.86*** (3.77; 50.93)
Educational level of father
High vs medium
1.83* (1.00; 3.35)
Low vs medium
1.53 (0.62; 3.74)
Longitudinal BMIz change of 5-year-old overweight children
Predictors of change in child’s BMIz from age 5 up to age 9 for children who were overweight at age 5
Unstandardized regression coefficients B (95% CI)
N = 129
N = 110
N = 103
N = 102
Accurate perception of child’s weight status (0 = underestimation, 1 = accurate)
Child BMIz at 5 years
Total variance explained by the model (R2)
This study has yielded information about the longitudinal change of children’s BMI in relation to parental perception of their child’s weight status. We found that accurate weight status perception at age 5 years was significantly associated with higher BMI in overweight children until the age of 9 years (4 years follow-up), corrected for actual BMIz at age 5 years. Furthermore, children of parents who correctly perceived their child as being overweight showed a consistently higher BMI at different ages, compared to children of parents who underestimated their child’s overweight. A consistently higher BMI probably made it easier for parents to correctly perceive their child’s overweight . Nevertheless, even after correction for actual BMIz, the association between accurate weight status perception and higher BMI at follow-up remained statistically significant. This would imply that parental awareness of the child’s overweight as such is not protective against subsequent overweight development. This contradicts the findings of Kroke and colleagues  who reported that maternal misperception about overweight children aged 6 months had an unfavourable effect on the child’s weight development, compared to mothers who perceived their child’s weight status correctly. However, as the researchers themselves acknowledged,  determination of actual weight status using BMI in children below the age of 2 years may be an inappropriate measure,  and the feeding mode (breastfeeding or bottle-feeding) had a differential effect on early body mass development . Also, their study included relatively small subsamples, impeding external validity.
Eighty-five percent of the parents of overweight children in our study underestimated their child’s weight status. Similar percentages were found in previous studies, with 72 - 90% of the parents underestimating the weight status of their overweight child [4, 8, 10, 11, 13]. Several potential causes may underlie inaccurate parental weight status perception . First, parents may not recognize their child as overweight; they just do not see it or do not have the skills to see it. Another cause may be that parents do not understand what overweight means. This is suggested by the findings of Jain et al.  who performed qualitative interviews with low-income mothers to understand their perceptions of when a child is overweight. The authors found that these mothers did not accept the classifications used by health professionals to determine a child’s overweight. Finally, parents may feel reluctant to admit that their child is overweight . Other studies reported that parental perception of their child’s weight status was related to the mother’s own overweight status, which may influence their norm regarding what is a normal weight [6, 14]. Although a relatively large proportion of the parents in the current study were overweight or obese, we could not find such an association between parental BMI and the parent’s perception of their child’s weight status or the child’s BMIz change.
Predictors of accurate weight status perception, in both overweight and normal weight children aged 5 years, were the children’s actual BMIz at 5 years and the children’s BMIz at 2 years (both predictors being positively associated with accurate weight status perception). Other studies have also shown a positive association between actual cross-sectional BMI(z) and weight status perception, [7, 9] but we are the first to investigate the influence of prior BMI on the parental perception of previous body weight status. In normal weight children, high educational level of the father was an additional significant predictor of accurate perception. In line with this, previous studies [7, 10, 11] found that mothers with a low educational level were more likely to underestimate their child’s weigh status. We did not find any evidence that other demographic variables are significant predictors of accurate weight perception, which appears to contradict what other studies have reported [7–11, 13]. An explanation for the discrepancies between studies may be the use of different instruments for measuring weight status perception. Some studies (including the current study) have used written questionnaires to assess parental perception of their child’s weight status, [9–14] whereas others have used an interview technique, [6, 7, 16] which may make it even more emotionally challenging for parents to admit that their child is overweight compared to an anonymous questionnaire . Another possible cause of discrepancies between study results may be differences in general characteristics of the study populations between earlier studies and ours. The KOALA cohort is relatively healthy; e.g., 9% of the 5-year-old children were overweight or obese, compared to 13% and 18% of 5-year-old boys and girls in the general Dutch population the Dutch boys of the Dutch girls at the age of  The cohort also included relatively highly educated parents: 53% of the parents had a high education level, compared to 26-31% of the general Dutch population . These specific general characteristics of the KOALA cohort may mean that the influence of several predictors was not detected, because of power issues.
In the present study, 5-year-old children whose parents underestimated their child’s overweight status were generally only overweight at that particular measurement, whereas the children whose parents accurately perceived their child’s overweight consistently had a higher average BMI over time. This indicates that children whose parents accurately perceive their weight differ in weight status from the children whose parents underestimate their weight status. We found a similar pattern for parents of normal weight children: children of parents, who correctly perceived their child as normal weight, had a consistently higher BMI compared to children of parents who estimated their child as underweight. This implies that one should be very careful when examining parental perceptions of the child’s weight status in only one cross-sectional weight measurement. It seems that parents can accurately take into account their child’s weight history in assessing his or her weight status at one particular point in time. Alternatively, this phenomenon may be a statistical artefact, caused by measurement errors in either the child’s body weight or parental weight status perception, or regression to the mean.
Accurate weight status perception may be an important prerequisite for involving parents in childhood obesity interventions . In general, parents who are not aware that their child is overweight, will probably not feel the need to become involved in such an intervention [29, 30]. In one adolescent family-based intervention, for example, parental weight status perception proved an important predictor of treatment initiation . Nevertheless, accurate weight status perception alone is not sufficient. Parents may not have sufficient motivation, skills or parenting practices to manage their child’s overweight, or they may even use counterproductive strategies, such as extreme restriction or overcontrolling of unhealthy energy balance-related behaviours, to address their child’s overweight . This may result in further BMI increases in the long run. Parents therefore need to be enabled to develop adequate skills to manage their child’s overweight in family-based interventions [33, 34].
Some limitations should be taken into account when interpreting our results. Almost all data were self-reported by parents, which may have led to bias. However, the weight and height data at age 5 were partly measured by trained research assistants. We tested whether the self-report and measured data led to different results, using interaction terms in the models, and found no difference between the two measurement methods. This is line with the findings by Scholtens et al.  who reported that parental reports of their child’s actual weight and height are relatively valid. However, parents of overweight children tend to underreport their child’s weight [35, 36], indicating that even more parents underestimate their child’s weight status than we could establish in the current study. Unfortunately, we were not able to conduct separate analyses of parental weight status perception for the group of obese children, as the small number of children in this subsample (N = 32) mean there was insufficient statistical power for such analyses. Furthermore, we did not collect any data on parental behaviours, which was beyond the scope of our study. An additional limitation regards the representativeness of the KOALA cohort, as already noted. Another disadvantage of the KOALA cohort might be completing questionnaires on a regular basis, which may increase parental attention for the questioned topics and may influence their behaviour.
To our knowledge, this is the first study to examine parents’ perceptions of their child’s weight status in relation to longitudinal BMIz change, both prior and subsequent to the assessment of parental perception. It would be valuable to further investigate the effect of underestimation on children’s weight status, specifically with regard to causality and underlying mechanisms explaining the associations found in the current study. Future studies with a larger sample of overweight children should investigate what differences there are, within the group of ‘consistently’ overweight children, between parents who accurately estimate their child’s weight status and those who underestimate it.
A relatively large proportion of the parents misperceive their child’s weight status, especially parents of children with a deviant weight status (underweight or overweight). The most important predictors of accurate parental weight perception are the children’s current BMI and prior BMI. This indicates that children whose parents accurately perceive their weight differ in weight status from the children whose parents underestimate their weight status. In addition, children whose parents accurately perceive their overweight child as being overweight showed a greater increase in BMI over time. Mere awareness of the child’s weight status thus seems to be unfavourably associated with the child’s BMIz change. It would therefore appear appropriate to develop and test new interventions in which parents are taught skills for managing their children’s weight-related behaviours.
The work of Sanne Gerards was funded by the Netherlands Organization for Health Research and Development (ZonMW). Financial support for the follow-up in the KOALA birth cohort study at age 5 was provided by the Dutch Ministry of Economic affairs, the Dutch Ministry of Health, Welfare and Sports, FrieslandCampina dairy company and the Dutch Sugar Bureau, all in the Netherlands. The sponsors had no influence on data analysis or reporting.
- WHO: Childhood overweight and obesity on the rise. 2011, Retrieved from the World Wide Web: http://www.who.int/dietphysicalactivity/childhood/en/ Google Scholar
- Golley RK, Hendrie GA, Slater A, Corsini N: Interventions that involve parents to improve children's weight-related nutrition intake and activity patterns - what nutrition and activity targets and behaviour change techniques are associated with intervention effectiveness?. Obes Rev. 2011, 12 (2): 114-30. 10.1111/j.1467-789X.2010.00745.x.View ArticlePubMedGoogle Scholar
- Eckstein KC, Mikhail LM, Ariza AJ, Thomson JS, Millard SC, Binns HJ: Parents' perceptions of their child's weight and health. Pediatrics. 2006, 117 (3): 681-90. 10.1542/peds.2005-0910.View ArticlePubMedGoogle Scholar
- Oude Luttikhuis HG, Stolk RP, Sauer PJ: How do parents of 4- to 5-year-old children perceive the weight of their children?. Acta Paediatr. 2010, 99 (2): 263-7.View ArticlePubMedGoogle Scholar
- Parry LL, Netuveli G, Parry J, Saxena S: A systematic review of parental perception of overweight status in children. J Ambul Care Manage. 2008, 31 (3): 253-68. 10.1097/01.JAC.0000324671.29272.04.View ArticlePubMedGoogle Scholar
- Chaparro MP, Langellier BA, Kim LP, Whaley SE: Predictors of accurate maternal perception of their preschool child's weight status among Hispanic WIC participants. Obesity. 2011, 19 (10): 2026-30. 10.1038/oby.2011.105.View ArticlePubMedGoogle Scholar
- Manios Y, Kondaki K, Kourlaba G, Vasilopoulou E, Grammatikaki E: Maternal perceptions of their child's weight status: the GENESIS study. Public Health Nutr. 2009, 12 (8): 1099-105. 10.1017/S1368980008004412.View ArticlePubMedGoogle Scholar
- De La O: Do parents accurately perceive their child's weight status?. J Pedriatr Health Care. 2009, 23 (4): 216-221. 10.1016/j.pedhc.2007.12.014.View ArticleGoogle Scholar
- Maynard LM, Galuska DA, Blanck HM, Serdula MK: Maternal perceptions of weight status of children. Pediatrics. 2003, 111 (5 Part 2): 1226-31.PubMedGoogle Scholar
- De Hoog ML, Stronks K, Van Eijsden M, Gemke RJ, Vrijkotte TG: Ethnic differences in maternal underestimation of offspring's weight: the ABCD study. Int J Obes. 2012, 36 (1): 53-60. 10.1038/ijo.2011.199.View ArticleGoogle Scholar
- Baughcum AE, Chamberlin LA, Deeks CM, Powers SW, Whitaker RC: Maternal perceptions of overweight preschool children. Pediatrics. 2000, 106 (6): 1380-6. 10.1542/peds.106.6.1380.View ArticlePubMedGoogle Scholar
- Garrett WD: Parental perception of preschool child body weight. J Pediatr Nurs. 2011, 26 (5): 435-45. 10.1016/j.pedn.2010.07.009.View ArticleGoogle Scholar
- Yao NL, Hillemeier MM: Weight status in Chinese children: maternal perceptions and child self-assessments. World J Pediatr. 2012, 8 (2): 129-35. 10.1007/s12519-012-0346-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Mamun AA, McDermott BM, O'Callaghan MJ, Najman JM, Williams GM: Predictors of maternal misclassifications of their offspring's weight status: a longitudinal study. Int J Obes. 2008, 32 (1): 48-54. 10.1038/sj.ijo.0803757.View ArticleGoogle Scholar
- Warschburger P, Kroller K: Maternal perception of weight status and health risks associated with obesity in children. Pediatrics. 2009, 124 (1): e60-8. 10.1542/peds.2008-1845.View ArticlePubMedGoogle Scholar
- Kroke A, Strathmann S, Gunther AL: Maternal perceptions of her child's body weight in infancy and early childhood and their relation to body weight status at age 7. Eur J Pediatr. 2006, 165 (12): 875-83. 10.1007/s00431-006-0191-3.View ArticlePubMedGoogle Scholar
- Kummeling I, Thijs C, Penders J, Snijders BE, Stelma F, Reimerink J, Koopmans M, Dagnelie PC, Huber M, Jansen MCJF, de Bie R, van den Brandt PA: Etiology of atopy in infancy: the KOALA Birth Cohort Study. Pediatr Allergy Immunol. 2005, 16 (8): 679-84. 10.1111/j.1399-3038.2005.00333.x.View ArticlePubMedGoogle Scholar
- Eijkemans M, Mommers M, De Vries SI, Van Buuren S, Stafleu A, Bakker I, Thijs C: Asthmatic symptoms, physical activity, and overweight in young children: a cohort study. Pediatrics. 2008, 121 (3): e666-72. 10.1542/peds.2007-1236.View ArticlePubMedGoogle Scholar
- Eurostat: Taksforce on Core Social Variables. Final Report. 2007, Luxembourg: European Press OfficeGoogle Scholar
- Fredriks AM, Van Buuren S, Wit JM, Verloove Vanhorick SP: Body index measurements in 1996–7 compared with 1980. Arch Dis Child. 2000, 82 (2): 107-12. 10.1136/adc.82.2.107.View ArticlePubMedPubMed CentralGoogle Scholar
- Barlow SE: Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007, 120 (Suppl 4): S164-92.View ArticlePubMedGoogle Scholar
- Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH: Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997, 337 (13): 869-73. 10.1056/NEJM199709253371301.View ArticlePubMedGoogle Scholar
- Gubbels JS, Thijs C, Stafleu A, Van Buuren S, Kremers SP: Association of breast-feeding and feeding on demand with child weight status up to 4 years. Int J Pediatr Obes. 2011, 6 (2–2): e515-22.View ArticlePubMedGoogle Scholar
- Jain A, Sherman SN, Chamberlin LA, Carter Y, Powers SW, Whitaker RC: Why don't low-income mothers worry about their preschoolers being overweight?. Pediatrics. 2001, 107 (5): 1138-46. 10.1542/peds.107.5.1138.View ArticlePubMedGoogle Scholar
- Gerards SM, Dagnelie PC, Jansen MW, De Vries NK, Kremers SP: Barriers to successful recruitment of parents of overweight children for an obesity prevention intervention: a qualitative study among youth health care professionals. BMC Fam Pract. 2012, 13 (1): 37-10.1186/1471-2296-13-37.View ArticlePubMedPubMed CentralGoogle Scholar
- Polit DF, Beck CT: Nursing research: Generating and assessing evidence for nursing practice. 2008, Philadelphia: Lippincott Williams & WilkinsGoogle Scholar
- Schonbeck Y, Talma H, Van Dommelen P, Bakker B, Buitendijk SE, Hirasing RA, van Buuren S: Increase in prevalence of overweight in Dutch children and adolescents: a comparison of nationwide growth studies in 1980, 1997 and 2009. PLoS One. 2011, 6 (11): e27608-10.1371/journal.pone.0027608.View ArticlePubMedPubMed CentralGoogle Scholar
- Leufkens K, Souren M: Bevolkingstrends, 1e kwartaal 2011. 2011, Den Haag/Heerlen: CBSGoogle Scholar
- Warschburger P, Kroller K: Childhood overweight and obesity: maternal perceptions of the time for engaging in child weight management. BMC Public Health. 2012, 12 (1): 295-10.1186/1471-2458-12-295.View ArticlePubMedPubMed CentralGoogle Scholar
- Rhee KE, De Lago CW, Arscott-Mills T, Mehta SD, Davis RK: Factors associated with parental readiness to make changes for overweight children. Pediatrics. 2005, 116 (1): e94-101. 10.1542/peds.2004-2479.View ArticlePubMedGoogle Scholar
- Dhingra A, Brennan L, Walkley J: Predicting treatment initiation in a family-based adolescent overweight and obesity intervention. Obesity. 2011, 19 (6): 1307-10. 10.1038/oby.2010.289.View ArticlePubMedGoogle Scholar
- Gubbels JS, Kremers SP, Stafleu A, De Vries SI, Goldbohm RA, Dagnelie PC, de Vries NK, van Buuren S, Thijs C: Association between parenting practices and children's dietary intake, activity behavior and development of body mass index: the KOALA Birth Cohort Study. Int J Beh Nutr Phys Act. 2011, 8: 18-10.1186/1479-5868-8-18.View ArticleGoogle Scholar
- Gerards SM, Dagnelie PC, Jansen MW, Van der Goot LH, De Vries NK, Sanders MR, Kremers SP: Lifestyle Triple P: a parenting intervention for childhood obesity. BMC Public Health. 2012, 12 (1): 267-10.1186/1471-2458-12-267.View ArticlePubMedPubMed CentralGoogle Scholar
- West F, Sanders MR, Cleghorn GJ, Davies PS: Randomised clinical trial of a family-based lifestyle intervention for childhood obesity involving parents as the exclusive agents of change. Behav Res Ther. 2010, 48 (12): 1170-9. 10.1016/j.brat.2010.08.008.View ArticlePubMedGoogle Scholar
- Scholtens S, Brunekreef B, Visscher TL, Smit HA, Kerkhof M, De Jongste JC, Gerritsen J, Wijga AH: Reported versus measured body weight and height of 4-year-old children and the prevalence of overweight. Eur J Public Health. 2007, 17 (4): 369-74. 10.1093/eurpub/ckl253.View ArticlePubMedGoogle Scholar
- Timmermans SH, Mommers M, Gubbels JS, Kremers SP, Stafleu A, Stehouwer CD, Prins MH, Penders J, Thijs C: Maternal smoking during pregnancy and childhood overweight and fat distribution: the KOALA Birth Cohort Study. Pediatr Obes. 2013, 9 (1): e14-25.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/14/291/prepub
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