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Moderate agreement between body mass index and measures of waist circumference in the identification of overweight among 5-year-old children; the ‘Be active, eat right’ study

BMC Pediatrics volume 13, Article number: 63 (2013) Cite this article

Abstract

Background

Body mass index (BMI) is a common indirect method to assess weight status among children. There is evidence that BMI data alone can underestimate overweight-related health risk and that waist circumference (WC) should also be measured. In this study we investigated the agreement between BMI and WC and BMI and the waist-height ratio (WHtR) when used to identify overweight among children.

Methods

This cross-sectional population-based study uses baseline data from 5-year-olds (n = 7703) collected by healthcare professionals for the ‘Be active, eat right’ study.

Results

According to age-specific and sex-specific cut-off points for BMI (IOTF, 2000) and WC (Fredriks et al., 2005), the prevalence of overweight (obesity included) was 7.0% and 7.1% among boys, and 11.6% and 10.1% among girls, respectively. For the WHtR the 90th percentile was used as the cut-off point. Among boys, observed proportion of agreement between BMI and WC classification was 0.95, Cohen’s kappa 0.58 (95% CI; 0.53-0.63), and proportions of positive and negative agreement were 0.61 and 0.97, respectively. Observed proportion of agreement between BMI and WHtR classification was 0.92, Cohen’s kappa 0.46 (95% CI; 0.41-0.51), and proportions of positive and negative agreement were 0.51 and 0.95. Children identified as overweight according to WC were relatively tall, and children classified as overweight according to the WHtR only were relatively short (comparable results for girls).

Conclusions

There is moderate agreement between BMI and measures of WC on the presence of overweight among 5-year-olds. If BMI data and cut-offs continue to be used, then part of the group of children identified as overweight according to WC and the WHtR will be omitted. Follow-up of the children classified as overweight according to BMI only, WC only, and WHtR only, will give indications whether WC should be measured in addition to BMI or whether WC should only be measured in certain subgroups (e.g. relatively tall or short children) to identify and monitor overweight in children. This may improve early identification and prevention of overweight and overweight-related health problems in children.

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Background

The prevalence of overweight and obesity among children has increased rapidly worldwide [1, 2]. The common indirect method of identifying overweight among children is use of the body mass index (BMI) [3–6]. However, it has been indicated that only using BMI data results in an underestimation of health risk, as BMI is an indicator of excess weight relative to height and does not indicate body fat distribution [7]. Waist circumference (WC) is a marker of central fat distribution, and there is considerable evidence that high central fat distribution is associated with an increased risk of metabolic complications, such as insulin resistance, in both adults and children [8–11]. There is, however, at this moment neither international consensus on whether WC should be used in conjunction with BMI to identify overweight among children [1, 6, 12, 13] nor whether WC should be measured as part of a ratio (e.g. waist-height ratio (WHtR)) [11, 12, 14–17].

In the Netherlands, all children are monitored in a nationwide program at set ages. This is a free service and attendance rate for these well-child visits is 95%. During these regular check-ups, healthcare professionals measure the height and weight of each child [18]. The healthcare professionals also assess whether a child has overweight. They base their decision on the child’s BMI and their clinical judgment by taking into account the child’s stature, ethnicity, and body-fat distribution [19]. However, this clinical judgment is based on the knowledge and experience of the professional and the process can not be standardized and remains arbitrary. A possibility to make the decision less arbitrary is to also measure WC [19]. The question that arises is whether WC should be measured in addition to BMI in monitoring programs to identify all children at increased risk for overweight-related health problems. A first step is to investigate whether BMI and WC agree about children’s weight status. And when BMI and WC disagree about weight status, it is important to have insight in the characteristics of the children not identified as overweight when using only BMI.

We compared BMI versus WC and BMI versus the WHtR in a large population-based sample of 5-year-old children to establish 1) whether BMI and WC agree on weight status of these young children, whether BMI and the WHtR agree on these children’s weight status, and 2) whether there are differences in children’s characteristics (ethnic background, weight, height) between the groups that are overweight according to BMI or WC, and between the groups that are overweight according to BMI or the WHtR. We also examined the clinical judgment of the healthcare professional on the children’s weight status in the groups that are overweight according to BMI, WC or the WHtR.

Methods

Design and study population

The present cross-sectional study is embedded in the ‘Be active, eat right’ study, which aims to assess the effects of an overweight prevention protocol as detailed elsewhere [20]. The Medical Ethics Committee of Erasmus MC University Medical Centre Rotterdam approved the study protocol. Nine of the 37 municipal health services in the Netherlands participated in the ‘Be active, eat right’ study. A total of 13,638 parents of 5-year-olds were invited by mail for a well-child visit at one of the nine municipal health services. These parents were also invited to participate in the ‘Be active, eat right’ study and 64.4% provided written informed consent to participate in the study. Baseline data were collected during the 2007–2008 school year, and these data were used for the present study.

Children were excluded from analyses when data were missing on anthropometric measurements (n = 475), on age or sex (n = 98), on weight status according to the clinical judgment of the healthcare professional during the well-child visit (n = 381), on parental educational level (as an indicator of socioeconomic status) or ethnicity (n = 127). After exclusion, a study population of n = 7703 remained.

Anthropometry, weight status and characteristics

During well-child visits trained healthcare professionals of the municipal health services measured each child’s body weight, height and WC using standardized methods as described in a protocol [19]. Body weight was measured to the nearest 0.1 kg and height to the nearest 0.1 cm. WC was measured over naked skin midway between the lower rib margin and the iliac crest at the end of gentle expiration while the children were in standing position [19]. The healthcare professionals were trained to measure WC using a measuring tape (type of measuring tape; SECA 200).

BMI was calculated by dividing weight (in kilograms) by height (in meters) squared. The weight status of the children according to BMI was assessed using the International Obesity Task Force’s (IOTF) age-specific and sex-specific cut-off points [21]. To assess the weight status of the children according to WC data, we used the age-specific and sex-specific cut-off points for Dutch children as presented by Fredriks et al. [22]. When a child’s BMI or WC value was the same as or higher than the lower-bound cut-off point for overweight for the child’s age and sex, the child was classified as overweight (obesity included).

For the WHtR, no internationally accepted cut-off points are available. We used the 90th percentile within our total study population at baseline (n = 8784) as the lower-bound cut-off point for having overweight (obesity included). The healthcare professionals reported their clinical judgment on the weight status of the children. This judgment was based on the child’s stature, ethnicity and body-fat distribution [19, 23, 24].

We obtained information about the child’s age, sex, ethnic background, and parental educational level from a questionnaire completed by the parents. A child was considered to be of non-Dutch ethnic background when at least one of the parents was born abroad (according to the definition of Statistics Netherlands [25]). Educational level of the parents was recorded in three categories according to the Dutch standard classification as defined by Statistics Netherlands [26]: high level (academic higher education/university education, higher professional education), mid level (pre-university education, senior general secondary education, and senior secondary vocational education), and low level (preparatory secondary vocational education, lower secondary vocational education, primary education, and no education).

Statistical analyses

Mean and frequency differences between boys’ and girls’ characteristics were examined using independent-samples t tests for continuous variables and Chi-square statistics for categorical variables. Children were categorized into subgroups according to which measures identified them as overweight (‘overweight BMI and WC’, ‘overweight BMI and WHtR’, ‘overweight BMI only’, ‘overweight WC only’, ‘overweight WHtR only’) or which measures identified them as not overweight (‘not overweight BMI and WC’ and ‘not overweight BMI and WHtR’).

Mean and frequency differences were examined using analyses of variance (ANOVA) and Chi-square statistics to explore potential differences between the subgroups with regards to 1) children’s characteristics and 2) the healthcare professional’s clinical judgment on the weight status of the child. For all analyses examining differences between subgroups, a p-value < 0.05 was considered to be statistically significant. Agreement between BMI and WC and between BMI and the WHtR on the prevalence of overweight (obesity included) was investigated by cross-tabulation and expressed as observed proportion of agreement and Cohen’s kappa [27, 28]. We regarded neither BMI, nor WC or WHtR as the ‘gold standard’. As we observed the paradox of a low kappa value and relatively high observed proportion of agreement, which is the result of the imbalance in the distribution of the marginal totals in the cross-table, we calculated a positive agreement index and a negative agreement index in addition to Cohen’s kappa (see Additional file 1 for calculations) [29, 30]. Statistical analyses were performed using the SPSS program (version 15; SPSS Inc, Chicago, USA).

Results

Among boys (n = 3895), the prevalence of overweight according to BMI cut-off points [21] was 7.0% (n = 272) and according to WC cut-off points [22] was 7.1% (n = 277) (Table 1 and Table 2). Of all boys, 4.3% (n = 168) were overweight according to both BMI and WC cut-off points, 4.3% (n = 168) were overweight according to both BMI and WHtR, 2.7% (n = 104) were overweight according to BMI only, 2.8% (n = 109) were overweight according to WC only, and 5.8% (n = 224) were overweight according to WHtR only (Table 2 and Table 4). In the subgroup of boys classified as overweight according to both BMI and WC (n = 168), 88.1% (n = 148) were also classified as overweight according to the clinical judgment of the healthcare professional. In the subgroup overweight BMI only (n = 104) and in the subgroup WC only (n = 109), respectively 66.3% (n = 69) and 16.5% (n = 18) of the children were also classified as overweight according to the clinical judgment of the healthcare professional (Table 1). In the subgroup classified as overweight according to both BMI and the WHtR (n = 168), 85.7% (n = 144) were also classified as overweight according to the clinical judgment of the healthcare professional. In the subgroup overweight BMI only (n = 104) and in the subgroup WHtR only (n = 224), respectively 70.2% (n = 73) and 7.6% (n = 17) of the children were also classified as overweight according to the clinical judgment of the healthcare professional (Table 3). The observed proportion of agreement between BMI and WC was 0.95, kappa was 0.58 (95% CI; 0.53-0.63), the observed proportion of positive agreement was 0.61, and the proportion of negative agreement was 0.97. The observed proportion of agreement between BMI and the WHtR was 0.92; kappa was 0.46 (95% CI; 0.41-0.51), the observed proportion of positive agreement was 0.51, and the proportion of negative agreement was 0.95.

Table 1 Characteristics of the study population and subgroups classified as overweight (obesity included) according to BMI, WC or both (n = 7703)
Full size table
Table 2 Comparison of weight status (not overweight/overweight, obesity included) according to BMI and WC cut-off points (n = 7703)
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Table 3 Characteristics of the subgroups classified as overweight (obesity included) according to BMI, WHtR or both (n = 7703)
Full size table
Table 4 Comparison of weight status (not overweight/overweight, obesity included) according to BMI and WHtR cut-off points (n = 7703)
Full size table

Overall, results were similar for girls, but the prevalence of overweight was higher for girls compared to boys (according to BMI cut-off points the prevalence was 11.6% (n = 441) and according to WC cut-off points the prevalence was 10.1 % (n = 386)) (Table 1 and Table 2).

The subgroups of children classified as overweight according to both BMI and WC, BMI only or WC only differed in mean height, weight, BMI, WC, ethnic background, and parental educational level (Table 1). Compared to the other subgroups, children classified as overweight according to both BMI and WC were the tallest and heaviest and had the highest BMI and the largest WC. Further, children classified as overweight according to WC only were on average 3.0 cm taller than children classified as overweight according to BMI only (Table 1). The subgroups of children classified as overweight according to both BMI and WHtR, to BMI only or to WHtR only, also differed in mean height, weight, BMI, WC, ethnic background, and parental educational level (Table 3). These subgroups also differed in age; children classified as overweight according to WHtR only were relatively younger. Further, children classified as overweight according to WHtR only were relatively lighter in weight and shorter in height compared to other subgroups (Table 3).

Discussion

We compared the assessment of overweight among 5-year-old children using BMI versus WC and BMI versus the WHtR. The results of the agreement analyses show that overall agreement between BMI classification versus WC and BMI classification versus the WHtR was high but the positive agreement between the measures was moderate to substantial. This indicated that BMI versus WC and BMI versus the WHtR agree moderately to substantially about the presence of overweight among 5-year-old children. It appeared that more than one third of the total group of children classified as overweight according to BMI was not classified as overweight according to WC or the WHtR. This was the same in the group of children classified as overweight according to WC. In the group of children classified as overweight according to the WHtR, more than half of the total group was classified as overweight only according to the WHtR.

Compared to the overweight BMI only group, children classified as overweight according to WC only were relatively taller and more boys were of Dutch ethnic background. When comparing BMI to WHtR, children classified as overweight according to WHtR only were relatively younger, shorter, and lighter. Approximately 2 in 3 of the children classified as overweight according to BMI only were also clinically judged as overweight by a healthcare professional during a well-child visit. In the subgroup classified as overweight according to WC only, this ratio was approximately 1 in 7 and in the subgroup classified as overweight according to WHtR only, this ratio was approximately 1 in 12.

Our data comes from a large population-based study of young children. Because of the small age range, our results are specific to the 5-year-old age group. The weight status of the children according to BMI was assessed using the IOTF’s age-specific and sex-specific cut-off points [21]. These cut-offs were chosen because they are used by the healthcare professionals at the municipal health services in the Netherlands [19]. By using these cut-off points, international comparisons of the prevalence of childhood overweight are also possible. Cut-off points for WC are not used in general by the healthcare professionals to assess children’s weight status during well-child visits. Also, no international validated cut-off points for WC are available. We used the available age-specific and sex-specific cut-off points for WC for Dutch children as presented by Fredriks et al. [22]. These cut-off points were based on data of 14,500 children aged 0–21 years in the Fourth Dutch Growth Study [22]. Internationally accepted cut-off points are also not available for the WHtR, and we used the 90th percentile within our total study population at baseline (n = 8784) as the cut-off point for classification of overweight (obesity included). We also investigated the agreement between BMI and WHtR classification by using the cut-off point of 0.5 for the WHtR [16, 17] instead of the 90th percentile, and results were similar.

As reported in previous studies, more girls were classified as overweight compared to boys in our study [2, 13, 31, 32]. As indicated in literature, a contribution to this may have been made by a significant difference in the sensitivity of the IOTF BMI cut-off points [2, 4, 13]. Children of parents with a low educational level, as an indicator of low socio-economic status [33], and children of non-Dutch ethnic background [34] are at increased risk for overweight and this is also reflected in our results. A relatively large number of the children in our study population were of non-Dutch ethnic background (main ethnicities: Moroccan, Turkish, Surinamese and Dutch Antillean), which allowed us to investigate differences in the distribution of ethnic background across the subgroups classified as overweight. The number of non-Dutch children was higher in the overweight subgroups but only among boys there was a statistically significant difference in ethnic background between the subgroups classified as overweight according to BMI only and WC only.

We compared the characteristics of the children in the study population with the characteristics of the children who were excluded from analyses due to missing data. Among boys, we found no statistically significant differences between those groups in age, height, weight, WC, ethnic background, parental educational level, or weight status of the children. Among girls, we found that weight, WC, and the prevalence of overweight according to BMI was higher among girls in the study population compared to girls who were excluded from analyses. However, we assume that the results of our analyses would be similar in the subgroup of girls with missing data.

Previous studies indicated that measuring only BMI results in an underestimation of health risk. To our knowledge, our study is the first study comparing classification results between BMI and WC and between BMI and the WHtR among 5-year-old children. The study by Fredriks et al. [22] found a strong correlation between BMI and WC. In additional analyses we also investigated the overall correlation in our study population, and we found comparable results. However, when we divided the BMI-group into quartiles, it appeared that the correlation was high only among children with a BMI in the highest quartile (see Additional file 2). So these findings indicate that BMI and WC merely agree among children with excess body fat in the highest percentile groups. This is also reflected in the results of the analyses in which we compared the children’s characteristics between the overweight subgroups; the children classified as overweight according to both BMI and WC had the highest amount of overall body fat (as estimated by BMI) and abdominal fat (as estimated by WC).

Further, we found that children classified as overweight according to both BMI and WC, and according to WC only, appeared to be relatively taller than the group classified as overweight according to BMI only. On the other hand, when comparing BMI and the WHtR, we found that children classified as overweight according to BMI only were relatively tall, and children classified as overweight according to WHtR only were short. There could be several explanations for these findings. First, it has been suggested that BMI is a measure of excess weight relative to height and not of excess body fat [14, 35]. Therefore, BMI might not be a sensitive measure of body fat among children who are particularly short or tall or who have an unusual body fat distribution [36]. Second, children classified as overweight according to WC only might have a high WC as a consequence of being relatively tall for their age; this subgroup might include ‘overall large children’. We recommend future studies to investigate whether the WHtR can be used to assess overweight among relatively short children. Specifically, future studies should assess which cut-off points for WC or the WHtR are best to classify overweight among young children.

Conclusions

The results of our study show that, overall, the adiposity markers BMI versus WC and BMI versus the WHtR are only in moderate agreement on the presence of overweight among 5-year-olds. They agree on overweight status among these young children in the higher percentiles of the overweight group. However, when prevention of further increase of excess body fat is considered, children with levels of BMI and WC near the norm are particularly important. This group consisted of children with overweight according to BMI only, WC only, and WHtR only. If BMI cut-off points continue to be used by healthcare professionals as a basis for their assessment of overweight among young children in monitoring programs, then part of the children classified as overweight according to WC will be omitted. Even though this is a small percentage of the total population, it is a relatively large percentage of the group of children identified as overweight according to WC or WHtR. This group of children might also be at increased risk for overweight-related health problems [8–11]. Our results show that BMI might not be a sensitive marker among relatively tall or short children and that WC should be measured in addition to BMI among these children.

We recommend future studies to compare the subgroups of children identified as overweight according to BMI only, WC only, and WHtR only over time and to examine these children’s risk of developing overweight-related health problems. It can then be decided whether WC should also be measured across the board in monitoring programs or only measured among certain subgroups such as relatively tall or short children. This will improve the identification and prevention of overweight and overweight-related health problems in children.

References

  1. Summerbell CD, Waters E, Edmunds LD, Kelly S, Brown T, Campbell KJ: Interventions for preventing obesity in children. Cochrane Database Syst Rev. 2005, 3: CD001871

    Google Scholar 

  2. Cattaneo A, Monasta L, Stamatakis E, Lioret S, Castetbon K, Frenken F, Manios Y, Moschonis G, Savva S, Zaborskis A, Rito AI, Nanu M, Vignerova J, Caroli M, Ludvigsson J, Koch FS, Serra-Majem L, Szponar L, van Lenthe F, Brug J: Overweight and obesity in infants and pre-school children in the European Union: a review of existing data. Obes Rev. 2010, 11 (5): 389-398. 10.1111/j.1467-789X.2009.00639.x.

    Article  CAS  PubMed  Google Scholar 

  3. World Health Organization: Factsheet N0311, Obesity and overweight. 2011, World Health Organization, http://www.who.int/mediacentre/factsheets/fs311/en,

    Google Scholar 

  4. Reilly JJ: Diagnostic accuracy of the BMI for age in paediatrics. Int J Obes (Lond). 2006, 30 (4): 595-597. 10.1038/sj.ijo.0803301.

    Article  CAS  Google Scholar 

  5. Krebs NF, Himes JH, Jacobson D, Nicklas TA, Guilday P, Styne D: Assessment of child and adolescent overweight and obesity. Pediatrics. 2007, 120 (Suppl 4): S193-228.

    Article  PubMed  Google Scholar 

  6. Himes JH: Challenges of accurately measuring and using BMI and other indicators of obesity in children. Pediatrics. 2009, 124 (Suppl 1): S3-22.

    Article  PubMed  Google Scholar 

  7. McCarthy HD, Ellis SM, Cole TJ: Central overweight and obesity in British youth aged 11–16 years: cross sectional surveys of waist circumference. BMJ. 2003, 326 (7390): 624-10.1136/bmj.326.7390.624.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Freedman DS, Serdula MK, Srinivasan SR, Berenson GS: Relation of circumferences and skinfold thicknesses to lipid and insulin concentrations in children and adolescents: the Bogalusa Heart Study. Am J Clin Nutr. 1999, 69 (2): 308-317.

    CAS  PubMed  Google Scholar 

  9. Katzmarzyk PT, Srinivasan SR, Chen W, Malina RM, Bouchard C, Berenson GS: Body mass index, waist circumference, and clustering of cardiovascular disease risk factors in a biracial sample of children and adolescents. Pediatrics. 2004, 114 (2): e198-205. 10.1542/peds.114.2.e198.

    Article  PubMed  Google Scholar 

  10. Janssen I, Katzmarzyk PT, Srinivasan SR, Chen W, Malina RM, Bouchard C, Berenson GS: Combined influence of body mass index and waist circumference on coronary artery disease risk factors among children and adolescents. Pediatrics. 2005, 115 (6): 1623-1630. 10.1542/peds.2004-2588.

    Article  PubMed  Google Scholar 

  11. Maffeis C, Banzato C, Talamini G: Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children. J Pediatr. 2008, 152 (2): 207-213. 10.1016/j.jpeds.2007.09.021.

    Article  PubMed  Google Scholar 

  12. Horlick M, Hediger ML: Measurement matters. J Pediatr. 2010, 156 (2): 178-179. 10.1016/j.jpeds.2009.09.055.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Reilly JJ, Kelly J, Wilson DC: Accuracy of simple clinical and epidemiological definitions of childhood obesity: systematic review and evidence appraisal. Obes Rev. 2010, 11 (9): 645-655. 10.1111/j.1467-789X.2009.00709.x.

    Article  CAS  PubMed  Google Scholar 

  14. Must A, Anderson SE: Body mass index in children and adolescents: considerations for population-based applications. Int J Obes (Lond). 2006, 30 (4): 590-594. 10.1038/sj.ijo.0803300.

    Article  CAS  Google Scholar 

  15. Garnett SP, Baur LA, Cowell CT: Waist-to-height ratio: a simple option for determining excess central adiposity in young people. Int J Obes (Lond). 2008, 32 (6): 1028-1030. 10.1038/ijo.2008.51.

    Article  CAS  Google Scholar 

  16. Aeberli I, Gut-Knabenhans I, Kusche-Ammann RS, Molinari L, Zimmermann MB: Waist circumference and waist-to-height ratio percentiles in a nationally representative sample of 6–13 year old children in Switzerland. Swiss Med Wkly. 2011, 141: w13227-

    PubMed  Google Scholar 

  17. Nambiar S, Truby H, Abbott RA, Davies PS: Validating the waist-height ratio and developing centiles for use amongst children and adolescents. Acta Paediatr. 2009, 98 (1): 148-152. 10.1111/j.1651-2227.2008.01050.x.

    Article  PubMed  Google Scholar 

  18. Renders CM, Halberstadt J, Frenkel CS, Rosenmoller P, Seidell JC, Hirasing RA: Tackling the problem of overweight and obesity: the dutch approach. Obes Facts. 2010, 3 (4): 267-272. 10.1159/000319426. Epub 2010 Aug

    Article  PubMed  Google Scholar 

  19. Bulk-Bunschoten AMW, Renders CM, Van Leerdam FJM, HiraSing RA: Youth Health Care Overweight-detection-protocol. 2005, Woerden: Platform Jeugdgezondheidszorg

    Google Scholar 

  20. Veldhuis L, Struijk MK, Kroeze W, Oenema A, Renders CM, Bulk-Bunschoten AM, Hirasing RA, Raat H: ‘Be active, eat right’, evaluation of an overweight prevention protocol among 5-year-old children: design of a cluster randomised controlled trial. BMC Publ Health. 2009, 9: 177-10.1186/1471-2458-9-177.

    Article  Google Scholar 

  21. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000, 320 (7244): 1240-1243. 10.1136/bmj.320.7244.1240.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Fredriks AM, van Buuren S, Fekkes M, Verloove-Vanhorick SP, Wit JM: Are age references for waist circumference, hip circumference and waist-hip ratio in Dutch children useful in clinical practice?. Eur J Pediatr. 2005, 164 (4): 216-222. 10.1007/s00431-004-1586-7.

    Article  PubMed  Google Scholar 

  23. Daniels SR, Khoury PR, Morrison JA: The utility of body mass index as a measure of body fatness in children and adolescents: differences by race and gender. Pediatrics. 1997, 99 (6): 804-807. 10.1542/peds.99.6.804.

    Article  CAS  PubMed  Google Scholar 

  24. Bellizzi MC, Dietz WH: Workshop on childhood obesity: summary of the discussion. Am J Clin Nutr. 1999, 70 (1): 173S-175S.

    CAS  Google Scholar 

  25. Centraal Bureau voor de Statistiek [Statistics Netherlands]: Allochtonen in Nederland 2004 [Migrants in the Netherlands 2004]. 2004, Den Haag/Heerlen, The Netherlands: Centraal Bureau voor de Statistiek, http://www.cbs.nl/nl-NL/menu/themas/bevolking/publicaties/publicaties/archief/2004/2004-b52-pub.htm,

    Google Scholar 

  26. Centraal Bureau voor de Statistiek [Statistics Netherlands]: Standaard Onderwijsindeling 2003 [The Dutch Standard Classification of Education]. 2004, Voorburg/Heerlen, The Netherlands: Centraal Bureau voor de Statistiek, http://www.cbs.nl/nl-NL/menu/methoden/classificaties/overzicht/soi/2003/default.htm,

    Google Scholar 

  27. Cohen J: A Coefficient of Agreement for Nominal Scales. Educ Psychol Meas. 1960, 20 (1): 37-46. 10.1177/001316446002000104.

    Article  Google Scholar 

  28. Landis JR, Koch GG: The Measurement of Observer Agreement for Categorical Data. Biometrics. 1977, 33 (1): 159-174. 10.2307/2529310.

    Article  CAS  PubMed  Google Scholar 

  29. Feinstein AR, Cicchetti DV: High agreement but low kappa: I. The problems of two paradoxes. J Clin Epidemiol. 1990, 43 (6): 543-549. 10.1016/0895-4356(90)90158-L.

    Article  CAS  PubMed  Google Scholar 

  30. Cicchetti DV, Feinstein AR: High agreement but low kappa: II. Resolving the paradoxes. J Clin Epidemiol. 1990, 43 (6): 551-558. 10.1016/0895-4356(90)90159-M.

    Article  CAS  PubMed  Google Scholar 

  31. Mast M, Kortzinger I, Konig E, Muller MJ: Gender differences in fat mass of 5-7-year old children. Int J Obes Relat Metab Disord. 1998, 22 (9): 878-884. 10.1038/sj.ijo.0800675.

    Article  CAS  PubMed  Google Scholar 

  32. van den Hurk K, van Dommelen P, van Buuren S, Verkerk PH, Hirasing RA: Prevalence of overweight and obesity in the Netherlands in 2003 compared to 1980 and 1997. Arch Dis Child. 2007, 92 (11): 992-995. 10.1136/adc.2006.115402.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Shrewsbury V, Wardle J: Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990–2005. Obesity (Silver Spring). 2008, 16 (2): 275-284. 10.1038/oby.2007.35.

    Article  Google Scholar 

  34. Fredriks AM, Van Buuren S, Sing RA, Wit JM, Verloove-Vanhorick SP: Alarming prevalences of overweight and obesity for children of Turkish, Moroccan and Dutch origin in The Netherlands according to international standards. Acta Paediatr. 2005, 94 (4): 496-498.

    Article  PubMed  Google Scholar 

  35. Freedman DS, Wang J, Maynard LM, Thornton JC, Mei Z, Pierson RN, Dietz WH, Horlick M: Relation of BMI to fat and fat-free mass among children and adolescents. Int J Obes (Lond). 2005, 29 (1): 1-8. 10.1038/sj.ijo.0802735.

    Article  CAS  Google Scholar 

  36. Maynard LM, Wisemandle W, Roche AF, Chumlea WC, Guo SS, Siervogel RM: Childhood body composition in relation to body mass index. Pediatrics. 2001, 107 (2): 344-350. 10.1542/peds.107.2.344.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This study was funded by a grant from ZonMw, the Netherlands Organization for Health Research and Development. We gratefully acknowledge the contribution of the participating parents and municipal health services.

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Authors and Affiliations

  1. Department of Public Health, Erasmus MC – University Medical Center Rotterdam, Rotterdam, The Netherlands

    Lydian Veldhuis, Ineke Vogel & Hein Raat

  2. Youth Policy Department, Municipal Public Health Service Rotterdam area, Rotterdam, The Netherlands

    Wilma Jansen

  3. Institute of Health Sciences, Faculty of Earth and Life Sciences, VU University Amsterdam, Amsterdam, The Netherlands

    Carry M Renders

  4. Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands

    Remy A HiraSing

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  3. Wilma Jansen
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Corresponding author

Correspondence to Lydian Veldhuis.

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The authors declare that they have no competing interests.

Authors’ contributions

All authors have participated in the concept and design; analysis and interpretation of the data; drafting or revising of the manuscript: HR originated the idea for the study and its design and was responsible for acquiring the grant for the study. LV further developed the described the study protocol and was responsible for the data collection, data analyses and reporting of the results of the study. IV helped develop questionnaires, contributed to the data analyses and reporting of the results. WJ contributed to the analyses and the reporting of the results. CR and RH contributed to the design of the study, data collection procedures, plan for analysis, and reporting the results. HR supervised the study. All authors contributed to revision of the manuscript. All authors hereby confirm that the manuscript is an original piece of research. All authors have seen and approved the final version for publication and take full responsibility for the manuscript.

Electronic supplementary material

12887_2012_817_MOESM1_ESM.doc

Additional file 1: Appendix 1: Calculation of kappa and proportions of agreement [27–30]. (DOC 82 KB)

12887_2012_817_MOESM2_ESM.doc

Additional file 2: Appendix 2: Mean levels of WC and correlation between BMI and WC among subgroups of BMI (n = 7703). (DOC 82 KB)

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Veldhuis, L., Vogel, I., Jansen, W. et al. Moderate agreement between body mass index and measures of waist circumference in the identification of overweight among 5-year-old children; the ‘Be active, eat right’ study. BMC Pediatr 13, 63 (2013). https://doi.org/10.1186/1471-2431-13-63

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  • DOI: https://doi.org/10.1186/1471-2431-13-63

Keywords

  • Body mass index
  • Waist circumference
  • Overweight
  • Preschool child
  • Pediatrics
  • Prevalence

BMC Pediatrics

ISSN: 1471-2431

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