Abstract
In Germany, the reference system according to Kromeyer-Hauschild is usually used to define underweight, overweight and obesity in children and adolescents. International classification systems to describe prevalence are the reference systems of the World Health Organization (WHO) and the International Obesity Task Force (IOTF). This article reports underweight, overweight and obesity prevalences among children and adolescents according to WHO and IOTF criteria using data from the second wave of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2, 2014-2017). According to the WHO reference system, the prevalence of underweight among 5- to 17-year-olds is 1.6%, the prevalence of overweight is 26.3% (including obesity) and the prevalence of obesity is 8.8%. According to IOTF, the prevalence of underweight among 3- to 17-year-olds is 10.0%. The prevalence of overweight (including obesity) is 19.3% and the prevalence of obesity is 4.7%. From a public health point of view, underweight as an indicator of malnutrition plays a rather minor role in Germany. The prevalence of overweight according to WHO is three quarters higher and one quarter higher according to IOTF than the national reference. When comparing the international reference systems, the WHO prevalence is one third higher than IOTF prevalence. According to national and international reference systems, no further increase in the prevalence of overweight and obesity is observed, but the prevalence remain at a high level.
Keywords: UNDERWEIGHT, OVERWEIGHT, OBESITY, INTERNATIONAL REFERENCE SYSTEMS, IOTF, WHO, HEALTH MONITORING
1. Introduction
Children with overweight and obesity are more likely to have high blood pressure and disorders in lipid and glucose metabolism than children within the normal weight range [1]. A high body mass index (BMI) in childhood and adolescence is associated with a higher probability of type 2 diabetes, hypertension and cardiovascular disease in adulthood [2]. In addition, overweight and obesity among children and adolescents are associated with a significant reduction in quality of life [3] and with a higher risk of bullying [4]. Underweight reflects an insufficient nutritional status of children and is more prevalent in middle and low-income countries. It affects the growth of children, has negative implications on health at later stages in life and is associated with a higher mortality risk [5]. Worldwide, overweight and obesity as well as underweight are major public health problems in childhood and adolescence. Since the 1970s an increase in overweight and obesity prevalences among children and adolescents has been observed worldwide, a trend which as recently levelled off in high income countries [7-9] (as in Germany [6]). At the same time, the prevalence of underweight has decreased in most regions of the world. Overall, between 1975 and 2016, the increase in overweight and obesity preva lences was greater (girls +5 percentage points, boys +7 percentage points) than the decrease in the prevalence of underweight (girls -1 percentage point, boys -3 percentage points) [7].
KiGGS Wave 2.
Second follow-up to the German Health Interview and Examination Survey for Children and Adolescents
Data owner: Robert Koch Institute
Aim: Providing reliable information on health status, health-related behaviour, living conditions, protective and risk factors, and health care among children, adolescents and young adults living in Germany, with the possibility of trend and longitudinal analyses
Study design: Combined cross-sectional and cohort study
Cross-sectional study in KiGGS Wave 2
Age range: 0-17 years
Population: Children and adolescents with permanent residence in Germany
Sampling: Samples from official residency registries - randomly selected children and adolescents from the 167 cities and municipalities covered by the KiGGS baseline study
Sample size: 15,023 participants
KiGGS cohort study in KiGGS Wave 2
Age range: 10-31 years
Sampling: Re-invitation of everyone who took part in the KiGGS baseline study and who was willing to participate in a follow-up
Sample size: 10,853 participants
KiGGS survey waves
► KiGGS baseline study (2003-2006), examination and interview survey
► KiGGS Wave 1 (2009-2012), interview survey
► KiGGS Wave 2 (2014-2017), examination and interview survey
More information is available at www.kiggs-studie.de/english
The definition of underweight, overweight and obesity is based on the BMI, which is an established index. It is calculated as body weight divided by the square of height (kg/m2) and is therefore fairly easy to measure. Since the ratio of body height and weight changes during childhood and adolescence, there is no uniform cut-off for all age groups for defining underweight, overweight and obesity.
The cut-off values for underweight, overweight and obesity in the age group up to 17 years are defined by percentiles as many other parameters in childhood and adolescence (see info box). An individual BMI value is considered relative to the BMI distribution in a defined group (reference population) taking into account age and gender. Thus girls and boys with particularly high (or low) values are evaluated in comparison to their peers. In Germany, categorisation is based on the Kromeyer-Hauschild et al. reference system [10, 11]. This defines a child with a BMI of 20 kg/m2 on its 7th birthday at the cut-off between overweight and obesity. However, a twelve-year-old child with a BMI of 20 kg/m2 would be of normal weight. For adults cut-offs are defined differently. The underlying factor here is the increased risk of diseases and higher mortality risks linked for example to a BMI greater than 30 kg/m2. Adults with a BMI of over 30 kg/m2 are classified as obese. For children and adolescents, the most common international reference systems to describe overweight and obesity, but also underweight, are the reference systems of the World Health Organization (WHO) [12, 13] as well as the International Obesity Task Force (IOTF) [14-16].
International reference systems not only allow comparisons of underweight, overweight and obesity prevalences between different countries, but also observations over time and thus a comparison of trends between countries. In this article, prevalences for underweight, overweight and obesity are calculated based on data from the second wave of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2) for the first time according to the international reference systems of the WHO and the IOTF. The results are discussed methodologically and evaluated to allow a presentation in the national and international context.
2. Methodology
2.1 Study design
KiGGS is part of the health monitoring system at the Robert Koch Institute and includes repeated cross-sectional surveys of children and adolescents aged 0 to 17, which are representative for Germany. The KiGGS baseline study was conducted as an examination and interview survey (2003-2006). KiGGS Wave 2 took place between 2014 and 2017 as a combined health examination and interview survey. The concept and design of KiGGS are described in detail elsewhere [17-20]. In brief, participants to be invited were selected randomly from the official population registries in 167 cities and municipalities representative for Germany and already used in the baseline study. A number of measures were taken to increase study participation and to improve the sample composition [17, 21]. The examination program of KiGGS Wave 2 started with children at the age of 3 years. 3,567 children and adolescents (1,801 girls, 1,766 boys) took part (participation rate 41.5%).
Info box: Percentile curves.
Percentiles describe the distribution of continuous variables such as body height, weight or BMI within a reference population. This makes it possible to classify an individual value in the context of age and gender during childhood and adolescence. A given percentile reading from a growth curve indicates the percentage of children of the same age and gender that are below this value.
If the body weight of an 8-year-old girl is the 70th percentile (P70), 70% of 8-year-old girls have a lower body weight and 30% of girls of this age have a higher body weight.
2.2 Underweight, overweight and obesity according to different reference systems
In the examination part of KiGGS Wave 2, standardised measurements of body weight and height were obtained. BMI (kg/m2) was calculated from body weight and height. Prevalences of underweight, overweight and obesity were determined according to the Kromeyer-Hauschild reference system, as well as the WHO and IOTF international reference systems.
According to the German reference system by Kromeyer-Hauschild et al. [10, 11], children and adolescents are classified as underweight if their BMI value is below the 10th percentile (see info box). Underweight thereby includes severe underweight (below the 3rd percentile). A BMI value above the 90th percentile is defined as overweight and BMI values above the 97th percentile as obesity. Therefore, overweight is defined by including obesity. Under this statistical definition, 10% of children in the reference population are classified as underweight, 10% as overweight and 3% as obese. The WHO and IOTF reference systems use other reference populations and have determined different percentiles to define cut-offs (Table 1 and Table 2).
Table 1.
WHO category | Parameter | Cut-off as SD | Cut-off as percentile |
---|---|---|---|
Children under five years of age | |||
Underweight | weight-for-age | < -2 SD | P2.3 |
Wasting | weight-for-height | < -2 SD | P2.3 |
Stunting | height-for-age | < -2 SD | P2.3 |
Overweight | weight-for-height | > +2 SD | P97.7 |
Obesity | weight-for-height | > +3 SD | P99.9 |
Children and adolescents 5 to 19 years of age | |||
Severe thinness | BMI-for-age | < -3 SD | P0.13 |
Thinness | BMI-for-age | < -2 SD | P2.3 |
Overweight | BMI-for-age | > +1 SD | P84.0 |
Obesity | BMI-for-age | > +2 SD | P97.7 |
WHO = World Health Organization, SD = standard deviation, P = percentile, BMI = body mass index
Table 2.
IOTF category | BMI cut-off age 18 years and older | Equivalent percentile for girls/boys |
---|---|---|
Thinness Grade 3 (Severe thinness) | < 16.0 kg/m2 | P0.7/P0.5 |
Thinness Grade 2 (Wasting) | < 17.0 kg/m2 | P3.7/P3.0 |
Thinness Grade 1 | < 18.5 kg/m2 | P16.5/P15.5 |
Overweight | ≥ 25.0 kg/m2 | P89.3/P90.5 |
Obesity | ≥ 30.0 kg/m2 | P98.6/98.9 |
Morbid obesity | ≥ 35.0 kg/m2 | P99.8 for both |
IOTF = International Obesity Task Force, BMI = Body Mass Index, P = percentile
The WHO reference system consists of the WHO growth standard for younger children under five years of age [12] and the WHO reference for children and adolescents aged 5 to 19 years [13]. The growth standard is based on cross-sectional and longitudinal data collected in the Multi Growth Reference Study (MGRS). MGRS is a population-based study that was conducted between 1997 and 2003 in Brazil, Oman, Norway, Ghana, India and the US. Included in the study were children (n=8,440) who were breastfed for four months and lived in good socioeconomic conditions. For children under 5 years of age, the WHO growth standard does not use BMI in relation to age to define underweight, overweight and obesity, but rather body height and body weight in relation to age, as well as the body weight in relation to body height [12].
The WHO reference for children and adolescents aged 5 years and older is based on data from the US National Center for Health Statistics, which were collected from approximately 22,000 children, adolescents and young adults aged 1 to 24 years between 1963 and 1975. For these older children and adolescents, BMI provides the basis of the reference system. For 19-year-olds, the cut-offs for overweight (BMI ≥ 25.0 kg/m2) and obesity (BMI ≥ 30.0 kg/m2) are nearly the same as those for adults [13].
The WHO growth standard and the WHO reference are based on age and gender-specific percentile curves (see info box). The definition of cut-offs is expressed as standard deviations (SD) from the median. SD values can also be rendered as percentiles, although this presentation is rather unusual for WHO cut-offs. For example, a value of +2 SD corresponds to the 97.7th percentile. This means that 97.7% of the values for children of the same age and gender are below this value and 2.3% are above (Table 1).
For children under five years of age, WHO uses three different parameters to assess an excessively low body weight or body height (Table 1). The first parameter is weight-for-age, i.e. the distribution of body weight in relation to age. In this age group, WHO defines children as underweight whose weight is below the P2.3 percentile.
Secondly, WHO considers stunting, a state of chronic nutritional deficiency that impaired growth of body height. Stunting is assessed by the parameter height-for-age, i.e. body height in relation to age. Stunting is defined as a height below percentile P2.3 (whereby the child looks ‘normal’ with regard to body height and weight, but is too small for its biological age).
The third parameter is wasting and refers to the parameter weight-for-height, i.e. sets body weight in relation to body height. In contrast to stunting, wasting indicates an acute deficiency. It is defined as a body weight below percentile P2.3 compared to children of the same height. The definitions of overweight and obesity for under-5-year-olds also refer to body weight in relation to height (weight-for-height) and are defined as percentile P97.7 or percentile P99.9, respectively [12].
For children and adolescents from 5 to 19 years of age, WHO uses BMI in relation to age to define underweight, overweight and obesity. Percentile P2.3 is defined as underweight, P0.13 as severe thinness, P84.0 as overweight and P97.7 as obesity. Underweight includes all forms of thinness and severe thinness, overweight is defined including obesity.
The IOFT reference system (Table 2) is based on data from nationally representative cross-sectional surveys from six countries (Brazil, the UK, Hong Kong, the Netherlands, Singapore and the US) with more than 10,000 participants aged 0 to 25 [14, 15]. Individual BMI values were modelled for girls and boys aged 2 to 18 years and growth curves were established. The cut-offs for determining underweight, overweight and obesity were not chosen as prescribed SD values or percentiles, but ‘bounded’ to adult cut-offs. For example, to define obesity at the age of 18 years the percentile corresponds to the adult cut-off value of 30 kg/m2, this was rounded P99. For overweight this procedure yielded approximately the 90th percentile as cut-off – the percentile, which is also used in other reference systems to define overweight in childhood and adolescence. Overweight thereby includes all subjects with obesity and morbid obesity. Underweight includes all grades of thinness [16]. The IOTF reference system is defined for the 2 to 18 age group.
2.3 Statistical analysis
The analyses are based on data from 3,561 participants (1,799 girls and 1,762 boys) aged 3 to 17 years with valid measurements of body height and weight. Six participants were excluded due to missing values in body weight and/or height. The results were stratified by gender and different age groups or cohorts and are presented as prevalences with 95% confidence intervals (95% CI). A corresponding weighting factor was used in order to make representative statements taking into account the regional structure, age (in years), gender, federal state (official population as of 31 December 2015), German citizenship (as of 31 December 2014) as well as parent levels of education according to the Comparative Analysis of Social Mobility in Industrial Nations (CASMIN) [22] classification (Microcensus 2013 [23]).
All analyses were conducted with SAS 9.4 (SAS Institute, Cary, NC, US) using the KiGGS Wave 2 data (Version 09). Survey procedures for complex samples were used in all analyses to adequately account for the clustering of participants in sample points and to consider weighting in the calculation of confidence intervals and p-values [9].
A statistically significant difference between girls and boys or between age cohorts is assumed when the corresponding p-value is smaller than 0.05.
3. Results
Prevalences according to the WHO reference system
In the examination part of KiGGS Wave 2 children aged 3 years and older were included. Therefore, data on height and weight for the age group under five years are only available for 3- and 4-year-old children. The prevalence of underweight according to the WHO reference system is 0.5% for this age group (Table 3). Wasting (low weight in relation to height, see above) affects 0.3% of children. The prevalence rate of stunting (low height in relation to age, see above) is estimated at 1.7%. No statistically significant differences were found between girls and boys. The prevalence of overweight (including obesity) is 3.2%. Based on this definition, significantly more girls (5.9%) are overweight than boys (0.7%). According to the WHO reference system, 0.1% of children aged 3 to 4 years are obese. As this age group comprises only two cohorts in KiGGS Wave 2, the confidence intervals for these prevalences are very broad. This indicates a great statistical uncertainty in the results.
Table 3.
Underweight weight-for-age < -2 SD |
Wasting weight-for-height < -2 SD |
Stunting height-for-age < -2 SD |
Übergewicht weight-for-height > +2 SD |
Adipositas weight-for-height > +3 SD |
||||||
---|---|---|---|---|---|---|---|---|---|---|
% | (95% Cl) | % | (95% Cl) | % | (95% Cl) | % | (95% Cl) | % | (95% Cl) | |
Total | 0.5 | (0.1-2.4) | 0.3 | (0.0-2.4) | 1.7 | (0.7-3.7) | 3.2 | (1.7-6.1) | 0.1 | (0.02-1.0) |
Girls | 0.2 | (0.0-1.7) | XX | XX | 2.2 | (0.8-5.9) | 5.9 | (2.9-11.7) | XX | XX |
Boys | 0.8 | (0.1-5.2) | 0.7 | (0.0-4.6) | 1.2 | (0.3-4.8) | 0.7 | (0.2-3.0) | 0.3 | (0.0-2.1) |
p-value** | n. s. | --- | n. s. | 0.0024 | --- |
WHO = World Health Organization, CI = confidence interval, SD = standard deviation, n. s. = not significant
XX = no figures, --- = no p-value calculated
* KiGGS Wave 2 data available only for children aged three and four years
** p-value for gender differences
According to the WHO reference system for the age group 5 to 17 years, a prevalence of 1.6% is determined for underweight based on KiGGS Wave 2 data (Table 4). A small proportion of adolescents is affected by severe thinness (0.3%). There are neither differences between girls and boys, nor between the age groups. 26.3% of children and adolescents are overweight (or obese) and 8.8% are obese. In the age group 5 to 17 years, significantly more boys than girls are affected by overweight or obesity. The highest prevalences of overweight and obesity are found in the age group 11 to 13 years (girls 29.3% and boys 35.6%), while prevalences of obesity did not differ statistically significantly between the age groups.
Table 4.
n | Severe thinness BMI-for-age < -3 SD |
Thinness BMI-for-age < -2 SD |
Overweight BMI-for-age > +1 SD |
Obesity BMI-for-age > +2 SD |
|||||
---|---|---|---|---|---|---|---|---|---|
% | (95% Cl) | % | (95% Cl) | % | (95% Cl) | % | (95% Cl) | ||
Total | 3,125 | 0.3 | (0.1-0.6) | 1.6 | (1.1-2.2) | 26.3 | (24.2-28.5) | 8.8 | (7.5-10.3) |
5-10 Years | 1,355 | 0.1 | (0.0-0.3) | 1.1 | (0.6-1.8) | 24.9 | (22.0-28.1) | 9.4 | (7.4-11.8) |
11-13 Years | 815 | 0.7 | (0.2-2.2) | 2.2 | (1.2-3.8) | 32.5 | (28.0-37.5) | 9.3 | (6.7-12.6) |
14-17 Years | 955 | 0.3 | (0.1-1.1) | 1.9 | (1.1-3.5) | 23.9 | (20.8-27.3) | 7.8 | (5.8-10.4) |
p-value* | n. s. | n. s. | 0.0033 | n. s. | |||||
Girls | 1,584 | 0.2 | (0.0-1.1) | 1.1 | (0.6-1.9) | 23.6 | (20.8-26.5) | 6.7 | (5.2-8.6) |
5-10 Years | 648 | XX | XX | 0.6 | (0.2-1.5) | 21.3 | (17.5-25.7) | 7.4 | (5.0-10.9) |
11-13 Years | 410 | 0.9 | (0.2-4.7) | 2.6 | (1.1-6.1) | 29.3 | (23.6-35.6) | 6.3 | (3.6-10.9) |
14-17 Years | 526 | XX | XX | 0.7 | (0.3-1.6) | 22.7 | (18.4-27.5) | 5.9 | (3.7-9.3) |
p-value* | --- | 0.0098 | n. s. | n. s. | |||||
Boys | 1,541 | 0.3 | (0.1-0.8) | 2.1 | (1.4-3.1) | 28.9 | (25.6-32.4) | 10.8 | (8.8-13.3) |
5-10 Years | 707 | 0.1 | (0.0-0.6) | 1.5 | (0.8-2.8) | 28.3 | (23.8-33.2) | 11.2 | (8.2-15.1) |
11-13 Years | 405 | 0.4 | (0.1-1.9) | 1.7 | (0.9-3.4) | 35.6 | (29.1-42.8) | 12.0 | (8.0-17.7) |
14-17 Years | 429 | 0.5 | (0.1-2.2) | 3.0 | (1.5-5.9) | 25.0 | (20.4-30.3) | 9.5 | (6.5-13.7) |
p-value* | n. s. | n. s. | 0.0308 | n. s. | |||||
p-value** | n. s. | n. s. | 0.0216 | 0.0045 |
WHO = World Health Organization, BMI = body mass index, CI = confidence interval, SD = standard deviation, n. s. = not significant
XX = no entry, --- = no p-value calculated
* p for age group differences
** p-value for gender differences
Prevalences according to the IOTF reference system
According to IOTF, the prevalence of underweight among girls and boys aged 3 to 17 years is 10% (Table 5). In this age group, severe thinness affects 1.5% of children and adolescents. The prevalence of overweight (including obesity) is 19.3%. Obesity prevalence is 4.7%. Morbid obesity even affects 1.0% of girls and boys. There are no statistically significant gender differences.
Table 5.
n | Severe thinness (Grade 2/3) BMI < 17,0 kg/m2 |
Thinness (Grade 1) BMI < 18,5 kg/m2 |
Overweight BMI > 25,0 kg/m2 |
Obesity BMI > 30,0 kg/m2 |
Morbid obesity BMI > 35,0 kg/m2 |
||||||
---|---|---|---|---|---|---|---|---|---|---|---|
% | (95% Cl) | % | (95% Cl) | % | (95% Cl) | % | (95% Cl) | % | (95% Cl) | ||
Total | 3,561 | 1.5 | (1.1-2.0) | 10.0 | (8.8-11.4) | 19.3 | (17.4-21.4) | 4.7 | (3.8-5.7) | 1.0 | (0.7-1.6) |
3-6 Years | 880 | 1.9 | (1.2-3.2) | 12.4 | (9.9-15.3) | 10.8 | (8.3-14.0) | 1.8 | (1.0-3.4) | 0.3 | (0.1-0.8) |
7-10 Years | 911 | 0.4 | (0.2-0.9) | 10.4 | (8.1-13.3) | 19.6 | (16.3-23.4) | 5.3 | (3.5-7.8) | 0.5 | (0.1-2.3) |
11-13 Years | 815 | 2.0 | (1.0-3.6) | 8.1 | (6.1-10.8) | 26.2 | (22.0-31.0) | 5.9 | (3.8-9.1) | 1.1 | (0.5-2.7) |
14-17 Years | 955 | 1.7 | (0.9-3.2) | 8.8 | (6.5-11.7) | 21.7 | (18.7-25.1) | 5.8 | (4.1-8.1) | 2.0 | (1.1-3.7) |
p-value* | 0.0460 | n. s. | <0.0001 | 0.0108 | 0.0200 | ||||||
Girls | 1,799 | 1.5 | (1.0-2.4) | 8.9 | (7.3-10.9) | 19.2 | (16.8-21.9) | 4.6 | (3.5-6.0) | 1.1 | (0.6-2.0) |
3-6 Years | 426 | 1.6 | (0.8-3.1) | 9.1 | (6.7-12.4) | 14.4 | (10.2-20.1) | 3.0 | (1.4-6.1) | 0.5 | (0.2-1.6) |
7-10 Years | 437 | 0.6 | (0.2-1.8) | 10.4 | (7.0-15.2) | 18.8 | (14.3-24.2) | 4.5 | (2.7-7.4) | XX | XX |
11-13 Years | 410 | 2.6 | (1.1-6.1) | 8.4 | (5.6-12.3) | 23.9 | (18.6-30.2) | 5.1 | (2.6-9.8) | 0.8 | (0.1-4.7) |
14-17 Years | 526 | 1.6 | (0.6-4.0) | 7.8 | (5.1-11.9) | 20.5 | (16.5-25.3) | 5.7 | (3.6-9.1) | 2.7 | (1.2-6.0) |
p-value* | n. s. | n. s. | n. s. | n. s. | --- | ||||||
Boys | 1,762 | 1.4 | (0.9-2.1) | 11.0 | (9.2-13.0) | 19.4 | (16.6-22.5) | 4.8 | (3.5-6.4) | 1.0 | (0.5-1.8) |
3-6 Years | 454 | 2.3 | (1.2-4.3) | 15.4 | (11.3-20.7) | 7.4 | (4.8-11.2) | 0.7 | (0.2-2.4) | XX | XX |
7-10 Years | 474 | 0.2 | (0.0-0.7) | 10.5 | (7.3-14.9) | 20.4 | (15.5-26.4) | 6.0 | (3.4-10.2) | 1.0 | (0.2-4.5) |
11-13 Years | 405 | 1.3 | (0.6-3.0) | 7.9 | (5.4-11.4) | 28.4 | (22.2-35.6) | 6.7 | (3.7-11.9) | 1.5 | (0.6-3.8) |
14-17 Years | 429 | 1.8 | (0.8-4.1) | 9.7 | (6.5-14.2) | 22.8 | (18.2-28.1) | 5.8 | (3.6-9.3) | 1.4 | (0.6-3.5) |
p-value* | 0.0404 | n. s. | <0.0001 | 0.0088 | --- |
IOTF = International Obesity Task Force, BMI = body mass index, CI = confidence interval, n. s. = not significant XX = no entry, --- = no p-value calculated
* p-value for age group differences
Among girls and boys, age has no statistically significant impact on the prevalence of underweight. The prevalence of overweight, obesity and morbid obesity increases among girls and boys with increasing age. However, this increase is only statistically significant among boys.
According to the IOTF definition, the prevalence of overweight is highest for the 11- to 13-year-old girls (23.9%) and boys (28.4%). The highest prevalence of obesity is present among 14- to 17-year-olds and is 5.7% among girls and 5.8% among boys. The highest prevalence of morbid obesity is also found in the age group 14 to 17 years.
4. Discussion
The aim of this article is to describe prevalences of underweight, overweight and obesity according to the inter national reference systems of WHO and the IOTF reference system and to evaluate them in the international context. In Germany, this is made possible by nationwide data on body height and weight of children and adolescents from KiGGS Wave 2 (2014-2017).
Based on the national reference system commonly used in Germany by Kromeyer-Hauschild et al. [10, 11], the current results of KiGGS Wave 2 indicate that 15% of girls and boys aged 3 to 17 years are affected by overweight, the prevalence of obesity is 6% [6]. According to the WHO reference system for the age group 5 to 17 years, 26% of children and adolescents are overweight and 9% obese. Using the IOTF reference system 19% of 3- to-17-year-olds are overweight and 5% obese.
The prevalence of overweight is thus three quarters higher than the WHO reference and one quarter higher according to IOTF compared to the national reference system. If the international reference systems are compared, the prevalence according to WHO is one third higher than according to IOTF. As for obesity, the prevalence is lower under IOTF and higher under WHO compared to the national reference system. Higher WHO prevalence estimates compared to IOTF were also found in other countries that conducted representative surveys [24, 25] and non-representative regional cross-sectional studies [26, 27]. The reason for this is that cut-offs according to WHO from five years onward are consistently lower than IOTF cut-offs.
However, the higher prevalences of overweight and obesity according to the WHO reference system apply only for older children and adolescents. Among children under five years, the WHO cut-offs for overweight are higher compared to the IOTF reference system, and thus lead to lower prevalences. This is due to the application of the WHO growth standard for children under five years and the WHO reference for children and adolescents aged 5 to 19 years. For children under five years, the WHO standard is derived from a population presenting optimal growth. This approach is based on the concept that under ideal conditions the average growth of a child is the same all over the world. It thus differs significantly from the underlying study population of WHO reference values for older children and adolescents, which were generated exclusively on regional data from the USA without taking into account other study populations and the general health status.
Furthermore, there are differences in the definition of overweight and obesity and the choice of cut-offs (weight-for-height P97.7 or P99.9) for girls and boys aged under five years compared to older children and adolescents (BMI-for-age P84.0 or P97.7). Thus, not only does the WHO reference indicate a sharp increase in prevalences at the transition from four to five years of age, but there are also significant differences between the WHO standard and the IOTF references in the age group of children under five years of age. One reason for this is that that WHO does not want to categorise young children too hastily as being either overweight or obese.
Although children and young people from different population groups have similar growth patterns, the cut-offs are set on varying percentiles. The classification of children in comparison to their peers therefore differs between the reference systems, and these differences influence prevalence estimates.
Despite various definitions of underweight, overweight and obesity according to IOTF and WHO, absolute differences between countries regarding the prevalences of overweight and obesity presumably exist. Within Europe, for example, obesity prevalences in childhood and adolescence vary between 12% and 40% [28]. The WHO estimates published for overweight and obesity in north-western Europe are however more or less in line with the KiGGS Wave 2 results according to WHO [7]. A direct comparison of KiGGS Wave 2 results with prevalences of other countries is methodologically difficult. A publication that would allow a classification of KiGGS data in a European context is in progress [29]. Comparisons of prevalence across national borders remain complicated because there is no internationally uniform and globally valid reference system. However, it is at least possible to compare prevalences in a reference system over time.
Limitations
Using prevalences according to WHO for children under five years of age it is necessary to consider that KiGGS Wave 2 only provides data for children aged over three years and that prevalences for children under five years are therefore only calculated with the data of children aged three and four years. For children and adolescents aged 5 to 17 measurements are available.
Moreover, it cannot be ruled out that prevalence estimates for obesity are biased, as adolescents and young adults in extreme weight categories appear to be less willing to participate in surveys [30, 31].
Public health relevance
According to the WHO, underweight affects less than 2% of children and adolescents in Germany. The WHO’s Nutrition Landscape Information System defines cut-off values for the indicators underweight, wasting and stunting which have major public health significance. An underweight prevalence less than 10% and prevalence of stunting of less than 20% are considered low. A prevalence of wasting of less than 5% is regarded acceptable. Wasting and stunting are among the WHO 100 core health indicators and are regularly collected and reported to the WHO. They are continuously monitored within the context of the Global Nutrition Targets to improve the nutrition of mothers, infants and young children. They provide concise information on the country’s health situation and contribute to monitoring and evaluating the country’s priorities to improve health care services [32]. In Germany, in comparison to overweight and obesity, underweight plays a minor role as an indicator of malnutrition from a public health perspective and is more frequently considered within the context of eating disorders. Overweight and in particular obesity are associated with long-term unfavourable health outcomes. With its Global Action Plan for the Prevention and Control of Non-Communicable Diseases (NCD), WHO declared the goal to “halt the rise in obesity” by 2025 [33]. According to the national reference system, Germany has achieved this target [6]. This also applies according to the international reference systems. If the calculation of prevalences in the KiGGS baseline study is adjusted to the age range, age structure and weighting procedure of KiGGS Wave 2, the prevalence of overweight according to IOTF was 19.8% and for obesity 5.6% in the KiGGS baseline study (2003-2006) and thus even slightly higher than currently observed in KiGGS Wave 2 [34]. The application of WHO references for the 5- to 17-year-olds provides the same result. The prevalence of overweight according to WHO in the KiGGS baseline study was, adapted to the current age and weighting structure, 26.9% and the prevalence of obesity was 9.3%.
This indicates that the use of different reference systems can lead to consistent results over time trends, even if the absolute prevalences differ between reference systems. For the comparison of trends between countries, it therefore makes sense (but is not absolutely necessary) to use the same reference systems. However, to compare prevalences and absolute figures between countries, it is essential to apply international classification systems [14]. Moreover, it also makes sense to use international reference systems if no national system is available.
In Germany, however, the national classification system is the better option to indicate clinical needs, for example regarding the therapeutic choices for those diagnosed as under- or overweight. A systematic review has convincingly demonstrated that using national reference data to categorise a high BMI and/or the corresponding percentile is more suitable for diagnosing obesity than the assessment applying international reference systems [35]. Therefore, international classification systems are less suitable for clinical use, as the underlying study populations are very heterogeneous.
Conclusion
Underweight, overweight and obesity can already lead to health problems in early childhood, with consequences which continue to progress into adulthood. The WHO target to halt the rise in obesity among children and adolescents has thus been achieved in Germany, but prevalences remain at a high level. In this context, it is necessary to describe the development of these indicators, which are important from a public health perspective, and to contextualise them internationally, against the background of methodological difficulties.
Key statements
According to the WHO reference system, the prevalence of underweight among 5- to 17-year-olds is 1.6%, the prevalence of overweight is 26.3% (including obesity) and the prevalence of obesity is 8.8%.
According to IOTF, the prevalence of underweight among 3- to 17-year-olds is 10.0%, the prevalence of overweight (including obesity) is 19.3% and the prevalence of obesity is 4.7%.
From a public health point of view, underweight as an indicator of malnutrition plays a rather minor role in Germany.
Using national as international reference systems, no further increase in overweight and obesity prevalence over time is observed – nevertheless these prevalences remain at a high level.
Acknowledgement
Foremost we would like to express our gratitude to both the participants and their parents. We would also like to thank everyone at the 167 study sites who provided us with space and active support on site.
KiGGS Wave 2 could not have been conducted without the dedication of numerous colleagues at the Robert Koch Institute. We would especially like to thank the study teams for their excellent work and their exceptional commitment during the three-year data collection phase.
Funding Statement
KiGGS is funded by the Federal Ministry of Health and the Robert Koch Institute.
Footnotes
Data protection and ethics
All of the Robert Koch Institute’s studies are subject to strict compliance with the data protection provisions set out in the EU General Data Protection Regulation (GDPR) and the Federal Data Protection Act (BDSG). Charité – Universitätsmedizin Berlin’s ethics committee assessed the ethics of the KiGGS baseline study (No. 101/2000) and Hannover Medical School’s ethics committee assessed KiGGS Wave 2 (No. 2275-2014); both committees provided their approval for the respective studies. Participation in the studies was voluntary. The participants and/or their parents/legal guardians were also informed about the aims and contents of the study, and about data protection. Informed consent was obtained in writing.
Conflicts of interest
The authors declared no conflicts of interest.
Disclaimer
Note: External contributions do not necessarily reflect the opinions of the Robert Koch Institute
References
- 1.Friedemann C, Heneghan C, Mahtani K, et al. (2012) Cardiovascular disease risk in healthy children and its association with body mass index: systematic review and meta-analysis. BMJ 345:e4759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Llewellyn A, Simmonds M, Owen CG, et al. (2016) Childhood obesity as a predictor of morbidity in adulthood: a systematic review and meta-analysis. Obes Rev 17(1):56-67 [DOI] [PubMed] [Google Scholar]
- 3.Tsiros MD, Olds T, Buckley JD, et al. (2009) Health-related quality of life in obese children and adolescents. Int J Obes (Lond) 33(4):387-400 [DOI] [PubMed] [Google Scholar]
- 4.Puhl RM, King KM. (2013) Weight discrimination and bullying. Best Pract Res Clin Endocrinol Metab 27(2):117-127 [DOI] [PubMed] [Google Scholar]
- 5.Black RE, Victora CG, Walker SP, et al. (2013) Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet 382(9890):427-451 [DOI] [PubMed] [Google Scholar]
- 6.Schienkiewitz A, Brettschneider AK, Damerow S, et al. (2018) Overweight and obesity among children and adolescents in Germany. Results of the cross-sectional KiGGS Wave 2 study and trends. Journal of Health Monitoring 3(1):15-22. https://edoc.rki.de/handle/176904/5627 (As at 31.07.2018) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.NCD Risk Factor Collaboration (2017). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet 390(10113):2627-2642 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ng M, Fleming T, Robinson M, et al. (2014) Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384(9945):766-781 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Olds T, Maher C, Zumin S, et al. (2011) Evidence that the prevalence of childhood overweight is plateauing: data from nine countries. Int J Pediatr Obes 6(5-6):342-360 [DOI] [PubMed] [Google Scholar]
- 10.Kromeyer-Hauschild K, Moss A, Wabitsch M. (2015) Referenzwerte für den Body-Mass-Index für Kinder, Jugendliche und Erwachsene in Deutschland: Anpassung der AGA-BMI-Referenz im Altersbereich von 15 bis 18 Jahren. Adipositas 9:123-127 [Google Scholar]
- 11.Kromeyer-Hauschild K, Wabitsch M, Kunze D, et al. (2001) Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschrift Kinderheilkunde 149:807-818 [Google Scholar]
- 12.WHO Multicentre Growth Reference Study Group (2006) WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl 450:76-85 [DOI] [PubMed] [Google Scholar]
- 13.de Onis M, Onyango AW, Borghi E, et al. (2007) Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 85(9):660-667 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Cole TJ, Bellizzi MC, Flegal KM, et al. (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 320(7244):1240-1243 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Cole TJ, Flegal KM, Nicholls D, et al. (2007) Body mass index cut offs to define thinness in children and adolescents: international survey. BMJ 335(7612):194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cole TJ, Lobstein T. (2012) Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes 7(4):284-294 [DOI] [PubMed] [Google Scholar]
- 17.Hoffmann R, Lange M, Butschalowsky H, et al. (2018) KiGGS Wave 2 cross-sectional study – participant acquisition, response rates and representativeness. Journal of Health Monitoring 3(1):78-91. https://edoc.rki.de/handle/176904/5637 (As at 31.07.2018) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kamtsiuris P, Lange M, Schaffrath Rosario A. (2007) Der Kinder- und Jugendgesundheitssurvey (KiGGS): Stichprobendesign, Response und Nonresponse-Analyse. Bundesgesundheitsbl 50(5–6):547–556. https://edoc.rki.de/handle/176904/401 (As at 31.07.2018) [DOI] [PubMed] [Google Scholar]
- 19.Lange M, Butschalowsky H, Jentsch F, et al. (2014) Die erste KiGGS-Folgebefragung (KiGGS Welle 1): Studiendurchführung, Stichprobendesign und Response. Bundesgesundheitsbl 57(7):747-761. https://edoc.rki.de/handle/176904/1888 (As at 31.07.2018) [DOI] [PubMed] [Google Scholar]
- 20.Mauz E, Gößwald A, Kamtsiuris P, et al. (2017) New data for action. Data collection for KiGGS Wave 2 has been completed. Journal of Health Monitoring 2(S3):2-27. https://edoc.rki.de/handle/176904/2812 (As at 31.07.2018) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Frank L, Yesil-Jürgens R, Born S, et al. (2018) Improving the inclusion and participation of children and adolescents with a migration background in KiGGS Wave 2. Journal of Health Monitoring 3(1):126-142. https://edoc.rki.de/handle/176904/5640 (As at 31.07.2018) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Brauns H, Scherer S, Steinmann S. (2003) The CASMIN Educational Classification in International Comparative Research. In: Hoffmeyer-Zlotnik JHP, Wolf C. (Eds) Advances in Cross-National Comparison: A European Working Book for Demographic and Socio-Economic Variables. Springer US, Boston, MA, P. 221-244 [Google Scholar]
- 23.Forschungsdatenzentren der Statistischen Ämter des Bundes und der Länder (2017) Mikrozensus,. 2013, eigene Berechnungen. http://www.forschungsdatenzentrum.de/bestand/mikrozensus/ (As at 20.11.2017)
- 24.Bahk J, Khang YH. (2016) Trends in Measures of Childhood Obesity in Korea From 1998 to 2012. J Epidemiol 26(4):199-207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Song Y, Wang HJ, Dong B, et al. (2016) 25-year trends in gender disparity for obesity and overweight by using WHO and IOTF definitions among Chinese school-aged children: a multiple cross-sectional study. BMJ Open 6(9):e011904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Keke LM, Samouda H, Jacobs J, et al. (2015) Body mass index and childhood obesity classification systems: A comparison of the French, International Obesity Task Force (IOTF) and World Health Organization (WHO) references. Rev Epidemiol Sante Publique 63(3):173-182 [DOI] [PubMed] [Google Scholar]
- 27.Minghelli B, Nunes C, Oliveira R. (2014) Body mass index and waist circumference to define thinness, overweight and obesity in Portuguese adolescents: comparison between CDC, IOTF, WHO references. Pediatr Endocrinol Rev 12(1):35-41 [PubMed] [Google Scholar]
- 28.Garrido-Miguel M, Cavero-Redondo I, Alvarez-Bueno C, et al. (2017) Prevalence and trends of thinness, overweight and obesity among children and adolescents aged 3-18 years across Europe: a protocol for a systematic review and meta-analysis. BMJ Open 7(12):e018241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Blundell JE, Baker JL, Boyland E, et al. (2017) Variations in the Prevalence of Obesity Among European Countries, and a Consideration of Possible Causes. Obes Facts 10(1):25-37 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lissner L, Heitmann BL, Bengtsson C. (2000) Population studies of diet and obesity. Br J Nutr 83 Suppl 1:S21-24 [DOI] [PubMed] [Google Scholar]
- 31.Sonne-Holm S, Sorensen TI, Jensen G, et al. (1989) Influence of fatness, intelligence, education and sociodemographic factors on response rate in a health survey. J Epidemiol Community Health 43(4):369-374 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.WHO (2018) Global Reference List of 100 Core Health Indicators (plus health-related SDGs). World Health OrganizationGeneva, Switzerland. http://www.who.int/healthinfo/indicators/2018/en/ (As at 31.07.2018)
- 33.WHO (2013) Global action plan for the prevention and control of NCDs 2013-2020. World Health Organization. Geneva, Switzerland. http://www.who.int/nmh/publications/ncd-action-plan/en (As at 31.07.2018)
- 34.Kurth BM, Schaffrath Rosario A. (2010) Übergewicht und Adipositas bei Kindern und Jugendlichen in Deutschland. Bundesgesundheitsbl Gesundheitsschutz 53(7):643-652. https://edoc.rki.de/handle/176904/884 (As at 31.07.2018) [DOI] [PubMed] [Google Scholar]
- 35.Reilly JJ, Kelly J, Wilson DC. (2010) Accuracy of simple clinical and epidemiological definitions of childhood obesity: systematic review and evidence appraisal. Obes Rev 11(9):645-655 [DOI] [PubMed] [Google Scholar]