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Overweight in children and its perception by parents: cross-sectional observation in a general pediatric outpatient clinic

  • Daniela Nemecek1Email author,
  • Christian Sebelefsky1,
  • Astrid Woditschka1 and
  • Peter Voitl1
BMC PediatricsBMC series – open, inclusive and trusted201717:212

https://doi.org/10.1186/s12887-017-0964-z

Received: 30 December 2016

Accepted: 8 December 2017

Published: 22 December 2017

Abstract

Background

Childhood overweight is a growing problem in industrialized countries. Parents play a major role in the development and the treatment of overweight in their children. A key factor here is the perception of their child’s weight status. As we know of other studies, parental perception of children’s weight status is very poor. This study aimed to determine factors associated with childhood overweight and parental misperception of weight status. The height and weight of children, as reported by parents were compared with measured data.

Methods

The study was conducted at a general pediatric outpatient clinic in Vienna, Austria. A total of 600 children (aged 0–14 years) participated in the study. Collection of data was performed by means of a questionnaire comprising items relating to parental weight and social demographics. The parents were also asked to indicate their children’s weight and height, as well as the estimated weight status. Children were weighed and measured and BMI was calculated, allowing a comparison of estimated values and weight categories with the measured data.

Results

Parental BMI, parental weight and a higher birth weight were identified as factors associated with childhood overweight. No association with the parents’ educational status or citizenship could be proven. We compared parents’ estimations of weight and height of their children with measured data. Here we found, that parental estimated values often differ from measured data. Using only parental estimated data to define weight status leads to misclassifications. It could be seen that parents of overweight children tend to underestimate the weight status of their children, compared to parents of children with normal weight.

Conclusions

Pediatricians should bear in mind that parental assessment often differs from the measured weight of their children. Hence children should be weighed and measured regularly to prevent them from becoming overweight. This is of particular importance in children with higher birth weight and children of overweight parents.

Trial registration

Study was not registered. The study was approved by the Ethic committee of the city of Vienna. (EK 13–146-VK).

Keywords

Pediatric obesityParental perceptionOverweightChildrenAustria

Background

Overweight and obesity in childhood are known to be associated, not only with obesity comorbidities in childhood, but also in adulthood, such as hypertension, Type II diabetes and coronary heart disease [15]. Being overweight as a child or even being at the risk of becoming overweight (BMI > 85th percentile) is a predictor for being overweight in adulthood [6, 7]. In addition being overweight in childhood influences future comorbidities and shows higher rates of health problems in childhood itself, it also has a strong impact on a person’s emotional wellbeing. Higher BMI values are related to lower self-esteem [8], a higher risk of depression, conduct disorder and lower academic achievements [9, 10]. Halfon et al. [11] conducted a telephonic survey to determine associations between overweight and mental and physical health conditions. They found that parents of overweight children more often report activity restrictions, school problems and a poorer health status in general.

Several studies have focused on factors associated with childhood overweight and obesity. Maternal risk factors include overweight [12], smoking [13] and caesarean section. [14]. Caesarean section has been identified as showing higher Odds Ratio (OR) of obesity prevalence compared with vaginal delivery. But, when stratified for confounders, such as maternal pregnancy weight, there is no statistically significant association [15, 16].

A crucial risk factor for childhood overweight is parental overweight [14, 17, 18]. The OR is doubled with one obese or overweight parent (OR 2.1) and even tripled (OR 3.7) with two obese or overweight parents [13]. This effect is mainly accounted for by a combination of genetic and behavioral factors, as parents have a strong influence on their children’s eating and drinking habits, as well as on their activity levels [19].

To correctly classify children as overweight, studies suggest the necessity of regular weight and height measurements, as parental estimations often do not correspond with actual values [2023]. Parents tend to underestimate weight for overweight children. On the contrary, in normal weight children, height is often underestimated, leading to a higher attributed weight category [22].

Most of the studies investigating this topic were conducted in kindergartens, schools or pediatric clinics. In contrast this study was conducted at a general pediatric outpatient clinic, as these institutions provide the opportunity to observe children and adolescents over a longer period of time, thereby allowing a continuous monitoring of their individual development and therefore, play a major role in terms of obesity prevention and treatment. Especially, as in Austria children are regularly checked at pediatric outpatient clinics until the age of five in checkups, which are compulsory for extra subventions from the state. Pediatric outpatient clinics combine children’s regular visits to these institutions with trained pediatric staff, in comparison to pediatric clinics, where children mainly go when they are acute ill and are seen by different doctors at every visit. Pediatric outpatient clinics therefore provide a setting, where children are regularly seen by the same pediatrician, which supports prevention of overweight and increasing parental awareness with regards to their children’s weight status.

To prevent childhood overweight, it is necessary to have information on the prevalence and associated factors, especially in younger children, as earlier prevention may lead to better outcomes. In Austria, the availability of data on children’s weight status in children under 3 years is very poor. This study provides essential data concerning this age group. In addition no study on parental perception was done in Austria before.

Objectives

Main objectives of this study were:
  1. 1.

    To define socioeconomic (parental education), parental associated (parental weight status, parental BMI) and biological factors (birth weight, caesarian section) associated with childhood overweight.

     
  2. 2.

    To survey the awareness of parents regarding their children’s overweight in a pediatric outpatient clinic

     
  3. 3.

    To collect data on childhood overweight, in particular, as little is known on the weight status of children under 3 years in Austria

     
  4. 4.

    To investigate the occurring bias, whether the parent-reported values on height and weight (BMI) or the measured data is used to define the weight status of children.

     

Methods

Study design and population

The data collection for this cross-sectional observational study was conducted at a general pediatric outpatient clinic in Vienna, Austria, from October 2013 to April 2014. A questionnaire was administered to parents accompanying their children to the outpatient clinic. In addition to this, children were weighed and measured.

All the patients visiting the pediatric outpatient clinic on days when questionnaires were provided were asked to take part in this study. In all 670 patients and their parents were asked to take part in the study among them 70 of them refused to participate without stating any reasons. A total of 600 pediatric patients and their accompanying parent(s) were included in the study. All children aged 0–15 years and their parents (18 years and above) could participate in the study irrespective of the reason for consultation. Excluded were only parents, who did not have enough knowledge of the German language. In order to avoid repeated inclusion of the same child and parent(s), a patient number was assigned to each child-this allowed us to identify patients only in the outpatient clinic. Doubly present data was detected using SPSS 21 and the respective second and following entries were deleted. Questionnaires were given to parents while they were waiting for the appointment.

Questionnaire and anthropometric measurements

The questionnaire contained items on socioeconomic status (parental citizenship and highest educational qualification); birth weight, mode of delivery (caesarian section, vaginal delivery) or birth complications, preterm birth, number of siblings and how long children have been/were breastfed. Parents were also asked to indicate their own height and weight, they were told to estimate the height and weight of their children. Parents were asked to estimate children’s weight status as “underweight”, “normal weight” or “overweight”. To simplify parental assessment no “obese” category was provided. To compare the estimated with the actual weight status, children were weighed and their height was measured by pediatric staff. The questionnaire was designed for this study and was not validated before the study. Questionnaires were provided in the German language only. An translated version of the questionnaire is provided in Additional file 1.

Children were classified as “underweight”, “normal weight”, “overweight” or “obese” using age- and sex-adjusted BMI percentiles developed by Kronemeyer-Hausschild [24].

Children with a BMI under the 5th percentile were classified as underweight, those with a BMI over the 90th percentile were categorized as overweight, while the cut-off point for obesity was the 97th percentile.

Ethical standards

The study was approved by the Ethics committee of the city of Vienna (protocol no. EK 13–146-VK). Data collection was performed by means of an anonymous and voluntary questionnaire. Informed consent was obtained from all individual participants included in the study. Parents or other persons accompanying the child and children over 6 years had to sign a declaration of agreement.

Statistical analysis

We performed data analysis using SPSS 21. We evaluated each of the aforementioned variables descriptively for statistical testing the confidence interval was set to 95% (p < 0.05). All data used was tested for normal distribution.

In order to determine variables associated with children’s overweight (recoded into a binary variable, using the 90th percentile as a cutoff for overweight), the t-test (metrical variables) and the X2 test (categorical variables) were used. For multivariate analyses of predictors of childhood overweight we used binary logistic regression.

To determine factors associated with the correctness of the parental perception binary logistic regression was used. A new variable was created by stating parental perception to be in accordance with the measured weight status (right/wrong).

We compared the estimated values with the measured data using the Spearman correlation coefficient. Spearman’s coefficient was also calculated for the variables weight and height. The BMI was computed separately using the estimated and actual values. The respective results were then compared using the Spearman correlation coefficient. This was carried out for the entire study population and also specifically for overweight and normal weight children.

Concordance of parental perception and estimation with actual weight status was done with kappa statistics.

Results

Descriptive data is shown in Tables 1 and 2. In 70.3% of the cases the children’s mothers completed the questionnaire, in 16.3% the father, in 12.2% both mother and father and in 1.2% of the cases other family members (stepmother, grandmother, grandfather).
Table 1

Characteristics of the sample (metric variables)

 

Minimum

Maximum

Mean

Std. deviation

Birth height (cm)

38.0

59.0

50.8

2.71

Birth weight (g)

1200

5400

3317.4

555.67

BMI father (BMI kg/cm2)

16.9

47.6

26.3

3.57

BMI mother (BMI, kg/cm2)

15.6

46.61

23.81

4.78

Number of siblings

0

6

0.7

0.81

Measured weight (kg)

6.16

79.3

19.3

9.7

Measured height (cm)

64.0

181.0

106.9

21.46

BMI child (BMI, kg/cm2)

10.9

29.1

16.1

2.0

BMI percentile child

0.00

100.00

48.80

29.42

Age (years)

0.25

14.75

4.65

2.95

Table 2

Characteristics of the sample, categorical variables

 

N

Percent

Weight status (BMI)

underweight

61

10.2

normal weight

456

76.0

overweight

64

10.7

Obese

19

3.2

Parental perception

underweight

47

7.8

Normal weight

533

89.0

overweight

19

3.2

Age groups

10–15

42

7.0

6–10

119

19.8

3–6

225

37.5

under 3

214

35.7

Sex

male

316

52.7

female

284

47.3

Person filling in the questionnaire

mother

422

70.5

father

98

16.4

Both (mother & father)

73

12.2

others

6

1.0

Complications during pregnancy or birth

none

340

56.6

Caesarian section

174

29.1

Vacuum-extraction

32

5.4

infection

3

0.5

others

49

8.2

Only child

Only child

263

43.9

At least 1 sibling

336

56.1

Highest degree of school education father

compulsory schooling

23

3.9

completed apprenticeship

224

37.7

Higher school certificate

153

25.8

Academic degree

194

32.7

Highest degree of school education mother

Compulsory schooling

28

4.7

completed apprenticeship

174

29.2

Higher school certificate

197

33.1

Academic degree

197

33.1

Paternal weight status

underweight

4

0.7

Normal weight

291

50.6

overweight

280

48.7

Maternal weight status

underweight

64

10.9

Normal weight

349

59.3

overweight

176

29.9

Parental citizenship

Both parents austrian

461

77.0

≥ 1 parents not citizen of Austria

138

23.0

The mean age of the children was 4.66 years (range 0.25–14.75 years, SD 2.95). 214 of the 600 patients were under the age of three.

Of all pediatric patients 47.3% were girls and 52.7% were boys. 10.2% were underweight.

The prevalence of overweight was 10.7% and the proportion of obese children was 3.2%. Only slight differences could be determined between boys and girls, with obesity being slightly more common in boys (3.5% vs. 2.8%) and overweight being more commonly observed in girls (9.8% vs. 11.6%), even if this difference was not statistically significant (X2p 0.72). Numbers on overweight and obesity were slightly lower in this study, compared to the Austrian obesity report [25].

When subdivided into age groups (under 3, 3–6, 6–10, 10–15 years) and analyzed separately. 7.9% of the children in the under three years category were classified as underweight, 72% as normal weight, 16.4% as overweight and 3.7% as obese. In children aged 3–6 years, 11.6% were classified as underweight 80% as normal weight, 7.1% as overweight and 1.3% as obese. In 6–10 year-olds, 9.2% were classified as underweight, 78.2% as normal weight, 8.4% as overweight and 4.2% as obese. In 10–15 year-olds, 16.7% were classified as underweight, 69% as normal weight, 7.1% as overweight and 7.1% as obese. Results shown in Table 3. Being overweight is most common in children under three years. Surprisingly, when summarizing overweight and obesity in one category, the highest rates were also found in children less than three years, although obesity was most common in the age group of 10–14 years. This effect of age was however not significant in multivariate analysis (p = 0.66).
Table 3

Weight status separated by age category

Age

Underweight

Normal weight

Overweight

Obese

0–15 years

10.1%

76.0%

10.7%

3.2%

0-3 years

7.9%

72.0%

16.4%

3.7%

3–6 years

11.6%

80.0%

7.1%

1.3%

6–10 years

9.2%

78.2%

8.4%

4.2%

10–15 years

16.7%

69.1%

7.1%

7.1%

We investigated several socio-demographic and anthropometric parameters to find their association with childhood overweight. Result can be seen in Tables 4 and 5.
Table 4

Variables that were tested for association with childhood overweight (X2 –test)

  

Normal weight

Overweight

OR/RR

p (X2)

95% CI

Sex

   

1.10

0.72

0.69

1.75

girls

85.6%

14.4%

1.05

 

0.83

1.33

boys

86.7%

13.3%

0.96

 

0.76

1.20

Caesarian section

   

1.38

0.24

0.84

2.25

yes

83.3%

16.7%

1.25

 

0.90

2.25

no

87.3%

12.7%

0.90

 

0.77

1.07

Only child

   

1.45

0.12

0.91

2.30

yes

83.7%

16.3%

1.22

 

0.97

1.53

no

88.1%

11.9%

0.84

 

0.66

1.06

Highest degree of school education father

    

0.67

  

compulsory schooling

82.6%

17.4%

    

completed apprenticeship

84.4%

14.6%

    

Higher school certificate

88.2%

11.8%

    

Academic degree

87.1%

12.9%

    

Highest degree of school education mother

    

0.28

  

compulsory schooling

75.0%

25.0%

    

completed apprenticeship

85.0%

15.0%

    

Higher school certificate

87.8%

12.2%

    

Academic degree

87.3%

12.7%

    

Parents being overweight

   

3.8

<0.01

2.02

6.99

At least one parent overweight

80.9%

19.1%

1.44

 

1.28

1.63

none parent overweight

94.1%

5.9%

0.38

 

0.23

0.64

Parental citizenship

   

1.16

0.58

0.68

1.97

At least one parent no citizen of Austria

84.8%

15.2%

1.12

 

0.75

1.67

Both parents Austrian.

86.6%

13.4%

0.97

 

0.85

1.10

Table 5

Variables being tested for association with childhood obesity

 

OR

p-value

95% CI for Exp(B)

At least one parent overweight

3.51

<0.001

1.865

6.607

Birth weight

1.001

0.001

1.00

1.00

Paternal education level

 

0.87

  

Maternal education level

 

0.43

  

Sex (male)

0.72

0.20

0.44

1.19

Caesarian section

1.31

0.32

0.77

2.22

Being an only child

1.55

0.10

0.92

2.59

Age

0.98

0.66

0.98

0.90

Results of multivariate analysis (binary logistic regression)

Maternal and paternal overweight could be determined as influencing factors. In the case of overweight children 64.6% of the fathers were overweight, compared to 46.2% in the normal weight category. The same was seen for the maternal weight status, with 47.6% of the mothers being overweight in the overweight category compared to 27.0% in the normal weight category. (X2 test: p < 0.01 both for maternal and paternal weight status).

Corresponding results were obtained for parental BMI (t-test: p < 0.01, both for maternal and paternal BMI. The mean maternal BMI was 23.8 (SD 4.78) and the mean paternal BMI was 26.3 (SD 3.58) for the whole study population. In overweight children the mean maternal BMI was 25.9 (SD 5.42) and the mean parental BMI was 27.7 (SD 4.89), compared to mean maternal BMI of 23.5 (SD 4.58) and mean paternal BMI of 26.1 (SD 3.27) in the normal weight group.

While 62.8% of the whole study population had at least one overweight parent, in 17.5% both parents were overweight. Parental overweight has a significant association with childhood overweight. Children with at least one overweight parent had an almost fourfold risk of being overweight (X2 OR 3.8, 95% confidence interval 2.02–6.99, p < 0.01).

Conclusive with other studies, children with higher birth weight seem to be more likely to be overweight or obese (p < 0.01). In all age categories, the mean birth weight was higher in the overweight group compared to children with normal weight. This was also significant in t-test for age categories 0–15 and 3-6 years. The relevant results can be seen in Table 6.
Table 6

Association of birth weight and overweight separated by age category

 

Mean birth weight

SD

 

SD

 

SE

 

Age-category

Normal weight

 

Overweight

 

Difference

 

p-value (t-test)

0–15 years

3286 g

554.48

3507 g

527.27

+221 g

91.70

<0.001

10–15 years

3310 g

555.61

3557 g

305.94

+247 g

234.69

0.30

6–10 years

3282 g

571.43

3365 g

656.48

+83 g

161.19

0.61

3–6 years

3200 g

553.50

3615 g

396.67

+415 g

130.16

0.002

<3 years

3385 g

532.75

3502 g

554.61

+117 g

91.69

0.20

We found no significant influence of having siblings on overweight. Overweight seems to be slightly more common in only children, compared to the normal weighted group (13.7% vs 8.3%, p0.09). Whereas, data on obese children differs only slightly. (2.7% in only children vs. 3.6% in children having siblings). No significant association could be found when overweight and obese children were summed up in one group. In only children 16.3% were overweight, in the group having siblings results were similar (11.9%). (X2 OR 1.45 p 0.12).

No significant association of parental education level and overweight could be determined in this study. In the normal weight group only 3.7% of fathers had a compulsory education compared to 4.9% in overweight children, 36.9% completed apprenticeship as compared to 42.7% in the overweight group, 26.4% had a high school diploma (Matura) as compared to 22.0% in the overweight group and 33.0% had a university degree as compared to 30.5% in the overweight group. (X2 p 0.67). Similar results could be seen for the status of maternal educational status (4.1% had only completed compulsory school vs. 8.5% in the overweight group, 28.8% vs. 31.7% had completed apprenticeship, 33.6% vs. 29.3% had a high school diploma and 33.5% vs. 30.5% had a academic degree). (X2 p0.28). Results can be seen in Table 7.
Table 7

Parental education level separated by weight status

 

Weight status

Normal weight

Overweight

Paternal education level

 Compulsory education

3.7%

4.9%

 Completed apprenticeship

36.9%

42.7%

 High school diploma (Matura)

26.4%

22.0%

 University degree

33.0%

30.5%

Maternal education level

 Compulsory education

4.1%

8.5%

 Completed apprenticeship

28.8%

31.7%

 High school diploma (Matura)

33.6%

30.5%

 University degree

33.5%

29.3%

No significant effect of caesarian section could be seen. (X2, p 0.24, OR 1.38).

In multivariate tests, using binary logistic regression, only parental overweight and birth weight showed a significant association with pediatric overweight. Results can be seen in Table 5. Children with at least one parent being overweight showed higher risk of being overweight (OR 3.51, p < 0.01). Birth weight also showed a significant effect on childhood overweight. (OR 1.001, p0.001). Other variables, such as paternal (p0.87), maternal (p 0.43) education level, sex (OR 0.72, p 0.20), Caesarian section (OR 1.31, p 0.32), being an only child (OR 1.55, p 0.095) or age (OR 0.98, p 0.66) did not show a significant association.

Parental perception of children’s weight status

In the whole study population 75.7% of the children were classified in the correct weight classification by their parents while in underweight children 31.2% were correctly classified as underweight, while the rest was classified as normal weight. In the normal weight category 6.2% were misclassified as being underweight and 1.3% as being overweight. In overweight children only 9.4% were correctly classified as being overweight, while in obese children 36.8% were classified in the overweight category. We provided no obese category for parental estimation of children’s weight status. The relevant data can be seen in Fig. 1.
Fig. 1

Parental perception of their children’s weight status (Underweight, normal weight, underweight), was compared with weight status according to BMI-percentiles

Comparing parental perception and measured data using kappa statistics, we saw only a fair agreement. (k-value 0.214, p < 0.001).

When overweight and obese children summed up in one group, only 15.7% were correctly classified compared to 85.5% in normal weight group. Overweight children therefore are much more likely to be misclassified by their parents. (OR 42.07, p < 0.001).

No striking gender differences were seen. Of the obese girls, 37.5% were categorized as being overweight and a similar result was observed boys (36.4%). Only 3.2% of the overweight boys were classified correctly in the overweight category, while this rate was higher for girls (15.2%). All in all, less boys were misperceived by their parents compared to girls, (22.7% vs. 25.7%), because boys are less likely to be misclassified when being underweight. These results were not statistically significant. (OR 0.89, p0.63).

This study found no significant effect of age on parental perception. Only 7.5% of overweight children under 3 years were correctly classified as being overweight, compared to 18.8% in children aged 3–6, 33.3% in children aged 6-10 years and 33.3% in children aged 10–15 years. This effect was not significant in binary logistic regression. (p 0.80).

The only factor that showed a significant effect on the correctness of parental perception in multivariate testing was children’s weight status. Overweight children are more likely to be misclassified by their parents (OR 42.07 p < 0.001). Other investigated variables such as age category (p 0.80), paternal weight status (p 0.12), maternal weight status (p 0.28) and child’s sex (OR 0.89 for boys, p 0.63) did not show any significant association with misclassification.

Data reported by parents vs. measured data

Furthermore, parents were asked to estimate their children’s current weight and height. We compared these values with values derived from direct measurement by pediatric staff. As can be seen in Fig. 2, proportions of overweight and obesity also differ when only values (weight and height) indicated by parents are used. Especially in overweight and obese children, there was a high risk of misclassification when only data given by parents was used, compared to values measured by pediatric staff. Only 57.9% of the children who were obese would be correctly classified as such, when only parents were asked to name their children’s actual weight and height. The same was seen for overweight children, where a lot of children (54.1%) would be classified as normal- or even underweight.
Fig. 2

Weight status according to BMI percentiles, calculated using parental estimated weight and height of their children, were compared with data derived from direct measurement by pediatric staff

Spearman’s coefficient was used to compare the data provided by parents with the values measured by pediatric staff. The Spearman correlation coefficient was 0.974 for weight (p < 0.001), 0.984 for height (p < 0.001) and 0.737 for BMI (p < 0.001). This indicates a higher correlation for height and weight compared to BMI. For normal and underweight children the correlation for height was similar to that for overweight children (0.98 vs. 0.98, p < 0.001), and it was stronger for weight correlation (0.98 vs. 0.96 p < 0.001). The correlation coefficient for BMI in overweight children was lower than that in the whole sample (0.684 vs. 0.737). The comparison between the BMI calculated with values estimated by parents and the measured values indicated a lower accuracy at estimating the BMI of overweight children compared to the BMI of normal weight ones. This led to higher rates of misclassification in overweight children.

Using kappa statistics, it showed that the agreement of weight status comparing measured and parental estimated data, was only a fair agreement. (k-value 0.386, p < 0.001).

The person completing the questionnaire (mother and/or father or other persons) had no significant effect on the validity of the estimation of the children’s weight and height. Data not shown.

Discussion

The number of overweight and obese children is steadily rising [26]. In this study 10.7% of the children were overweight and 3.2% were even obese. Results in this study stated slightly lower numbers of overweight and obesity compared to other national data [25]. This difference may be caused by different type of recruitment, as national data is mainly recruited in kindergartens and schools. This may also be due to the fact that this study includes mainly younger children, only a few were over 10 years and Austrian data shows highest rates of overweight in children over 10 years, even if comparable data does not include children under 3 years. Another reason may be that parents with overweight children may not be as willing to take part in the study. Compared to other data this study shows higher numbers of underweight, especially in children over 10 years this may due to the fact that parents with underweight children are more likely to consult a pediatrician. This study adds data on weight status of Austrian children under 3 years age. According to past research results, overweight children display higher rates of overweight in adulthood [3]. This does not correspond to the common belief of parents that their children might “grow out of their overweight” and that overweight in childhood does not represent a health problem. Most parents do not consult a pediatrician regarding their children’s’ overweight until physical or psychological problems have manifested themselves [19]. This substantiates the major responsibility of pediatricians to promote parental awareness and provide information on the necessity to prevent and treat overweight especially in childhood.

In accordance with other studies, parental overweight and higher birth weight could be determined to have a significant association with childhood obesity [12, 27].

In the current study parental overweight shows a significant association with the children’s weight status, this is in line with former findings [14, 17, 18]. This association was evident for paternal and maternal weight status; it was also identified when using parental BMI in the t-test. Having at least one overweight parent shows a threefold higher risk of being obese as a child in using binary logistic regression. These results substantiate the incontrovertible importance of family based treatments. Integration of families in obesity programs correlates with better long-time outcomes and a greater amount of weight reduction [28, 29].

Identifying factors associated with childhood overweight allows the formation of special target groups. Effective prevention programs could be launched, for younger age groups and those at higher risk of becoming obese. Children with higher birth weight and overweight parents could be identified as target groups, this correlates with former study results [12, 18]. This is particularly interesting in the context of pediatrics, as determinants of adult obesity often go back to childhood.

As already demonstrated in former studies [14, 30], parental awareness regarding children’s overweight is often very poor. We could furnish further proof for the poor parental perception of children’s weight in general. In the current study 63.2% of obese children were classified as being normal weight by their parents. Accordingly, more than 90% of overweight children were classified as normal weight. When investigating the influence of gender on parental perception within this study, we found no significant effect. Overweight boys are slightly more likely to be misjudged by their parents than girls (3.2% vs. 15.1%). This is in accordance with the results of other studies [3133]. Ideal body images of the Western society might explain the fact that girls are more likely to be correctly classified as overweight. Slim body shapes are commonly regarded as ideal in girls and women, while this perception varies more widely for men and boys. In addition, overweight in men exhibits higher acceptance in society than being overweight as a girl or woman.

The only factor showing a significant influence on correctness of parental perception was children’s weight status.

Compared to other studies, which were done in schools or kindergartens [14, 32, 34], this study has been conducted in a pediatric outpatient clinic. General pediatric institutions are regularly visited by children, especially at a younger age and therefore provide a good setting for overweight and obesity prevention and treatment. No study on parental perception was done before in Austria.

All doctors dealing with young patients and evaluating the weight status should be aware that parents often misperceive the actual height and weight of their children. This is supported by our findings and in line with other authors [20, 21]. Concluding from the current results, many children would be categorized inappropriately regarding their BMI when using values provided by their parents. Using these leads to the falsification of the prevalence of overweight and underweight. The number of overweight children are lower compared with to the data derived from the direct measurement. This relationship inversely applies to underweight children. Correlations between reported data and data from direct measurement were much higher for weight and height (0.974 for weight, 0.964 for height) than for BMI (0.727). These results are similar to those of Huybrechts et al. [35].

The aforementioned findings suggest that children, especially those exposed to higher risks of becoming overweight, should be weighed and measured at regular intervals. This would allow the detection of overweight at an earlier stage and at a younger age, which may lead to more successful prevention programs. Children with higher birth weight or increased parental BMI should be screened for overweight regularly.

Limitations

Parental weight, height and BMI were only provided by parents and not directly measured. Furthermore, most of the patients attended the outpatient clinic with only one accompanying parent who indicated the weight and height of the other parent. This course of action involves the probability of having a reporting bias.

Parents with overweight children may not be as willing to participate in the study, as overweight and obesity prevalence was lower in this setting compared with other national data [25]. This may have confounded the results.

Conclusions

Parental overweight and parental BMI could be identified as risk factors for childhood overweight. Children’s birth weight also has an impact on the development of overweight.

This study adds additional weight status data of Austrian children, especially on children aged 3 years and younger.

As in other studies [32, 36, 37], parental perception of their children’s overweight is very poor and only a small number of parents are aware of their children’s actual weight status. Overweight children are misjudged more often, compared with the normal weight children. This misperception could be a major risk factor in the development of overweight and parental education should focus on that as well.This study adds data on parental perception of children’s weight status in Austrian children, as no comparable study has been done before in Austria.

In accordance with other studies [20, 21, 23], this study suggests the necessity of regular measurements of children’s weight and height.

Abbreviations

BMI: 

Body mass index (weight in kg divided by height in m2)

OR: 

Odds Ratio

Declarations

Acknowledgements

The authors want to thank all parents and their children, who took part in this study and the members of the First Vienna Pediatric Medical Center, who helped recruiting participants for the study.

Funding

No funding.

Availability of data and materials

The dataset supporting the findings of the current study is available from the corresponding author on request.

Author’s contributions

DN and PV conceptualized the study. DN,PV and AW collected data. DN, PV conducted analysis. DN, CS and PV contributed sections to the final draft. DN,CS,PV and AW reviewed and revised the manuscript. All authors contributed to the final draft and approved the final draft.

Ethics approval and consent to participate

The study was approved by the Ethic committee of the city of Vienna. (EK 13–146-VK). Written informed consent was obtained from parent and children over the age of 6 years.

Consent for publication

Not applicable as no personally identifiable data is provided in this study.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
First Vienna Pediatric Medical Center, Vienna, Austria

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Copyright

© The Author(s). 2017

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