• childhood obesity;
  • prevention;
  • overweight;
  • intervention;
  • health education


  1. Top of page
  2. Abstract
  3. Introduction
  4. Research Methods and Procedures
  5. Results
  6. Discussion
  7. Acknowledgments
  8. References

Objective: To evaluate the 4-year outcome of a school-based health promotion on weight status as part of the Kiel Obesity Prevention Study (KOPS).

Research Methods and Procedures: Within a cluster-sampled quasi-randomized controlled trial, 1764 children at 6 and 10 years of age were assessed between 1996 and 2005 in 32 primary schools in Kiel, North Germany. Six nutrition units followed by 20-minute running games were performed within the first year at school. Prevalence, incidence, and remission of overweight were main outcome measures.

Results: The 4-year change in BMI was +11.6%, with increases in prevalence of overweight and obesity from 5.2% to 11.1% and 3.9% to 5.1%, respectively. Cumulative 4-year incidence of overweight and obesity was 9.2% and 3.1%, respectively. Intervention had no effect on mean BMI. The effect on prevalence was significant in children from families with high socioeconomic status [odds ratio (OR), 0.35; 95% confidence interval (CI), 0.14 to 0.91] and marginally significant in children of normal-weight mothers (OR, 0.57; 95% CI, 0.33 to 1.00). Cumulative 4-year incidence of overweight was lower only in intervention children from families with high socioeconomic status (OR, 0.26; 95% CI, 0.07 to 0.87). Remission of overweight was most pronounced in children of normal-weight mothers (OR, 5.43; 95% CI, 1.28 to 23.01). Prevalence of underweight was unchanged. The intervention had minor but favorable effects on lifestyle.

Discussion: A school-based health promotion has sustainable effects on remission and incidence of overweight; it was most pronounced in children of normal-weight mothers and children from families with high socioeconomic status. There was no effect on obesity. The data argue in favor of additional measures of prevention.


  1. Top of page
  2. Abstract
  3. Introduction
  4. Research Methods and Procedures
  5. Results
  6. Discussion
  7. Acknowledgments
  8. References

Overweight and obesity are major public health problems, with prevention of childhood overweight providing a mandate of action (1). However, data to support a particular strategy to prevent overweight are currently lacking. School health programs have the potential to influence the health of nearly all children within existing institutional structures. It has been suggested that one third of the health objectives for the nations can be significantly influenced by school health programs (2). This is in line with data of controlled trials conducted in school settings showing feasibility, safety, and effectiveness of cardiovascular health promotion (3). In contrast, most school-based trials came out with only minor or no effects on mean BMI; the effectiveness of obesity prevention programs varies and is currently not well established (4)(5). However, some trials were successful and have shown that a reduction in television time, increases in physical activity, reduced consumption of sugar-sweetened beverages, and increased fruit and vegetable intake may add to the prevention of overweight (6)(7)(8)(9)(10).

Most obesity prevention programs considered short observation periods only. This is crucial because the impact of preventive approaches becomes apparent gradually, with small changes in behaviors and health indicators accumulating over longer-term periods. The only study using a 2-year follow-up protocol showed a positive long-term effect of school-based intervention on weight status (7).

The Kiel Obesity Prevention Study (KOPS)1 was started in 1996 as a cross-sectional and longitudinal 8-year follow-up study investigating determinants and preventive measures of childhood overweight (11). Our preliminary 1-year follow-up data of school-based intervention suggested positive effects on fat mass. The KOPS data also showed that the determinants differ between overweight and obesity and also between boys and girls (12). A low socioeconomic status (SES) and parental overweight affected prevalence of overweight (13). A low SES also served as a barrier against preventive measures (14)(15). Thus, evaluating the effectiveness of interventions to prevent overweight needs to take into account overweight and obesity, sex, SES, and parental overweight separately. We hereby report detailed data on the 4-year outcome of KOPS.

Research Methods and Procedures

  1. Top of page
  2. Abstract
  3. Introduction
  4. Research Methods and Procedures
  5. Results
  6. Discussion
  7. Acknowledgments
  8. References

Study Population

Between 1996 and 2001, we enrolled 4997 6-year-old children during the school entry examinations, i.e., 41% of the total population (n = 12,254 born in Kiel between 1990 and 1995). There were no eligibility criteria except willingness to participate. All parents gave their informed written consent. The study was approved by the local ethical committee. The KOPS cohort was representative for all 6-year-old children in Kiel. A total of 1764 of the children (35%) could be restudied at 10 years of age. Compared with the KOPS cohort, this subgroup of children did not differ in mean BMI, triceps skinfold (TSF), fat mass, and waist circumference (WC), but the prevalence of children from families with high SES was lower (35.7% vs. 43.9%).


Anthropometric (height, weight, skinfolds, WC) and bioelectric impedance analysis (fat mass calculated with a population-specific algorithm) measurements were performed (11)(12)(17). A validated questionnaire (12) (answered by the parents: response rate, 44%) addressed diet, physical activity and inactivity, self-reported weight and height of parents, and parental education and nationality.

Study Design

The school-based intervention was performed between 1996 and 2001 in two to four “intervention schools” per year. The schools were randomly assigned to the intervention (I) and non-intervention (NI) groups. Because of the varying personnel power of the KOPS team, the number of eligible schools ranged from 17 to 32 schools. Randomization was done every year because 1) many schools should have the possibility to be an “intervention school,” 2) every year other teachers supervise first graders, 3) materials of our intervention were not given to the teachers (thus, they could not repeat the intervention later with another class or give the material to other teachers), and 4) the intervention was mainly performed by a nutritionist and not by teachers. Therefore, 14 of 32 schools in Kiel served as “intervention schools” where 780 first graders were addressed. In the following years, former “intervention schools” served as “non-intervention schools.” Figure 1 shows the number of schools and children per year recruited at baseline (T0) and at the 4-year follow-up (T1). After 4 years, 345 children (I; 44.2%) were restudied. The data of these children were compared with children from NI schools (NI; n = 1419). To analyze effectiveness, T1 and T0 changes in variables were considered. Weight status was the primary outcome. Secondary outcome parameters (nutrition, activity, media time) were analyzed in a subgroup of 775 children (NI, n = 611; I, n = 164). All studies were blinded.


Figure 1. : Number of children and schools (cluster) in every year of recruitment at baseline (T0) and at 4-year follow-up (T1).

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The intervention program was based on the assumption that attitudes of behavior and other factors (e.g., familiar risk, low SES) are predictive for weight changes. Messages (eat fruit and vegetable every day, reduce intake of high-fat foods, keep active at least 1 h/d, and decrease television consumption to <1 h/d) were given to children, parents, and teachers. All first graders of intervention schools were addressed by six nutrition units performed during 2 to 3 weeks within the second term of the first school year. Messages were conveyed as nutrition fairy tales, interactive games, and by preparing a healthy breakfast. After each unit, running games were offered for 20 minutes on the schoolyard. Parents were informed on the occasion of a parental school meeting. Teachers were trained within a half a day structured nutrition education program. Costs of the intervention were calculated to be $26.20/child.

Outcome Parameters

Actual German BMI percentiles (18) were used for the classification of underweight (≤10th percentile), overweight (≥90th to <97th percentile), and obesity (≥97th percentile). The follow-up period (T1 − T0) was 3.8 ± 0.4 years. T1 data were corrected to 4 years by linear extrapolation using the following equation: BMIcorrected (T1) = [(BMI (T1) – BMI (T0)]/[(age (T1) – age (T0) × 4] + BMI (T0).

Lifestyle Variables

A 26-item food frequency questionnaire was used, and a healthy eating index (HEI) was calculated (12). Regular sport activities (low: not a member in a sports club; medium: 0 to 1 h/wk; high: >1 h/wk) and media time as index of inactivity (watching television or playing computer games, low: <1 hour media time per day; high: ≥1 hour media time per day) were assessed (19). A healthy lifestyle was characterized by a good HEI, high activity, and low media time.

Analysis of Dropouts

The dropout rate was 55.8% in I and 66.4% in NI. There were no sex differences. The prevalence of overweight and percentage of children of low SES were significantly higher in dropouts compared with participants in both I and NI. There was no difference in the prevalence of overweight mothers in dropouts and participants in NI but a higher percentage of normal-weight mothers in I compared with NI (76.5% vs. 67.0%, p < 0.05).

Dropout on the school level was seen in NI schools only (the range of dropouts was zero to eight schools; Figure 1). All I schools could be restudied. Reasons for dropout of schools were lack of time and/or limited personnel power.


Statistical analysis was performed with SPSS 13.0 for Windows (SPSS, Inc., Chicago, IL) and STATA 9 (College Station, TX). Results were presented as median and interquartile range. The non-parametric Mann-Whitney U test was used to determine between-group differences. The χ2 test was used to compare prevalence, incidence, and remission of overweight.

Multivariate Analysis

Randomization was done at the school level. A multi-level approach was used because of the hierarchical data structure (level 1: pupils, level 2: schools). Multi-level logistic regression analysis was performed with STATA 9 (xtlogit command). Adjustments were done for schools, BMI at baseline, sex, SES, and maternal weight. As dependent variables, we considered prevalence, incidence, and remission of overweight and obesity. Regression analyses were stratified to sex, SES, and weight status of mothers, because these variables were shown as independent determinants of overweight in our cross-sectional analysis in 6-year-old children (17). The dichotomous grouping variable (I yes-no) was the independent variable. Level of significance was set at p < 0.05 (two-sided).

Statistical Power Analysis

KOPS was designed to be large enough to detect a mean difference in BMI of 0.4 kg/m2 or a 5% reduction in the prevalence of overweight with 80% power at the two-tailed 5% significance level. To reach this, 340 I and 1420 NI children were needed. We hypothesized that, at T1, the prevalence of overweight plus obesity was 11% in I and 16% in NI, respectively. Sample size calculation was performed with Win Episcope 2.0 (


  1. Top of page
  2. Abstract
  3. Introduction
  4. Research Methods and Procedures
  5. Results
  6. Discussion
  7. Acknowledgments
  8. References

Characterization of the Study Population and Clusters

Table 1 shows characteristics of the study population. Distribution of sex and SES did not differ between I and NI, but prevalence of obese and overweight mothers was higher in NI. At T0, BMI, sum of four skinfolds, and fat mass were found to be lower in NI compared with I, but there were no between group differences at T1. Compared with I, the standard deviation score of BMI (BMI-SDS) was lower at T0 in NI. However, the 4-year changes in BMI-SDS were higher in I.

Table 1. . Characterization of the study population before (T0) and after the 4-year observation (T1) period [data are given as median (interquartile range)]
 Non-intervention group (n = 1419)Intervention group (n = 345)
 T0T1Δ(T1 − T0)T0T1Δ(T1 − T0)
  • SES, socioeconomic status; SDS, standard deviation score; TSF, triceps skinfold; FMBIA, fat mass as measured by bioelectrical impedance analysis; WC, waist circumference.

  • *

    Significant difference between the non-intervention and intervention group; Mann-Whitney test (p < 0.05).

Boys/girls (%)48.8/51.2  50.3/49.7  
SES: low/middle/high (%)26.6/30.2/43.2  26.7/26.5/46.8  
Overweight and obese mothers (%)30.2  23.2  
Age (yrs)6.3 (6.0 to 6.5)10.2 (10.0 to 10.5)4.0 (0)6.3 (5.9 to 6.5)10.3 (9.9 to 10.5)4.0 (0)
Height (m)1.20 (1.17 to 1.24)1.44 (1.39 to 1.49)0.24 (0.22 to 0.26)1.20 (1.16 to 1.23)1.44 (1.40 to 1.48)0.24 (0.22 to 0.26)
Weight (kg)22.0 (20.4 to 24.5)35.7 (31.7 to 42.0)13.2 (10.7 to 17.5)22.5 (20.5 to 24.5)36.1 (31.7 to 41.2)13.5 (10.7 to 17.1)
BMI (kg/m2;)15.4* (14.6 to 16.4)17.2 (15.8 to 19.6)1.8 (0.9 to 3.3)15.6 (14.8 to 16.7)17.5 (16.0 to 19.1)1.7 (0.7 to 3.1)
BMI-SDS0.03* (−0.59 to 0.55)0.13 (−0.54 to 0.98)0.15* (−0.28 to 0.61)0.11 (−0.43 to 0.70)0.26 (−0.41 to 0.83)0.07 (−0.42 to 0.57)
TSF (mm)10.3 (9.0 to 13.0)14.3 (10.1 to 19.4)3.6 (0.0 to 7.3)10.7 (9.0 to 13.9)13.7 (10.2 to 18.5)2.9 (−0.5 to 7.2)
Sum of four skinfolds (mm)27.7* (22.7 to 35.6)36.6 (25.9 to 55.8)8.3 (−0.5 to 22.4)29.0 (24.0 to 38.2)38.0 (26.9 to 55.6)8.7 (−1.7 to 21.1)
FMBIA (%)20.6* (16.1 to 25.3)20.6 (15.7 to 27.2)0.54 (−3.9 to 5.4)21.06 (16.7 to 24.9)20.8 (16.1 to 27.0)0.24 (−5.2 to 4.7)
WC (cm)54.0 (52.0 to 57.6)62.7 (58.7 to 68.3)8.1 (5.0 to 12.3)55.0 (52.0 to 58.0)63.1 (59.5 to 67.8)8.3 (4.7 to 12.4)

At T1, the distribution of BMI (Figure 2) became skewed to the right in I and NI; compared with 6-year-old children, the variance in BMI, WC, TSF, and fat mass (data not shown) increased with age. Concomitantly, the left side of the distribution suggested an unchanged prevalence of underweight.


Figure 2. : Relative distribution of BMI in the I group and NI group stratified to sex and age group (T0 = 6 years old, T1 = 10 years old). I group—boys: n = 173, girls: n = 172; NI group—boys: n = 693, girls: n = 726.

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Table 2 shows the characteristics of the schools. Compared with NI schools, I schools were bigger, but the number of children per class was comparable (21 vs. 22). I schools were more often situated in low SES areas; however, the prevalence of overweight and non-German children was the same as in NI schools.

Table 2. . Characterization of clusters (=schools)
Median (interquartile range)Non-intervention schoolsIntervention schools
  • SES, socioeconomic status.

  • *

    Significant differences between the non-intervention and intervention schools; χ 2 test (SES) and Mann-Whitney U test (p < 0.05).

Overweight children (%)12.3 (9.4 to 14.9)11.9 (9.7 to 14.8)
SES: low/middle/high (%)43.8/21.9/34.4*57.1/14.3/28.6
Number of children (n)237* (181 to 312)330 (205 to 414)
Number of classes (n)11* (9 to 15)15 (9 to 18)
Non-German children (%)7.3 (5.9 to 18.0)7.3 (5.8 to 18.9)


At T1, there was no significant difference in prevalence of overweight and obesity (Table 3). The effect of intervention increased with SES, resulting in a lower prevalence of overweight in children of high SES [adjusted odds ratio (OR), 0.35; 95% confidence interval (CI), 0.14 to 0.91; p = 0.03]. The effect was marginally significant in children of normal-weight mothers (adjusted OR, 0.57; 95% CI, 0.33 to 1.00; p = 0.05). No effect was seen in children of overweight mothers.

Table 3. . Characterization of weight status at T0 (6-year-old children) and T1 (10-year-old children) and adjusted ORs (95% CI) for prevalence of overweight and obesity after intervention at T1
  AllBoysGirlsSESOverweight motherNormal-weight mother
  • OR, odds ratio; CI, confidence interval; I, intervention; NI, non-intervention; SES, socioeconomic status.

  • *

    Adjusted for baseline BMI of the children, sex, SES, and BMI of the mother, as well as clustering effect among schools (OR of NI was taken as 1).

Prevalence at T0         
 IObese (%)
 Overweight (%)
 Normal-weight (%)83.786.181.379.384.685.779.785.1
 Underweight (%)
 NIObese (%)
 Overweight (%)
 Normal-weight (%)83.784.782.876.985.186.979.185.7
 Underweight (%)
Prevalence at T1         
 IObese (%)
 Overweight (%)
 Normal-weight (%)78.878.678.971.772.586.367.182.4
 Underweight (%)
 NIObese (%)
 Overweight (%)11.110.511.713.313.38.314.79.4
 Normal-weight (%)76.977.876.169.876.981.269.180.2
 Underweight (%)
Prevalence (T1) of overweightAdjusted OR*0.870.880.861.311.030.35*1.310.57
 (95% CI)(0.57 to 1.31)(0.48 to 1.64)(0.48 to 1.53)(0.69 to 2.46)(0.51 to 2.07)(0.14 to 0.91)(0.69 to 2.47)(0.33 to 1.00)
 p valuep = 0.497p = 0.697p = 0.602p = 0.406p = 0.935p = 0.031p = 0.411p = 0.051
Prevalence (T1) of obesityAdjusted OR*0.830.870.900.521.
 (95% CI)(0.40 to 1.74)(0.32 to 2.32)(0.32 to 2.52)(0.17 to 1.62)(0.27 to 5.22)(0.28 to 5.39)(0.39 to 2.66)(0.22 to 2.17)
 p valuep = 0.628p = 0.778p = 0.848p = 0.258p = 0.824p = 0.786p = 0.972p = 0.528


Similar cumulative 4-year incidence rates of overweight were seen in I and NI (Table 4). Sex and mother's weight had no effect. A significant effect was seen only in children from families of high SES (adjusted OR, 0.26; 95% CI, 0.07 to 0.87; p = 0.03).

Table 4. . Four-year cumulative incidence and remission of overweight and obesity and adjusted ORs (95% CI)
Four-year cumulative incidence AllBoysGirlsSESOverweight motherNormal-weight mother
  • OR, odds ratio; CI, confidence interval; SES, socioeconomic status; I, intervention; NI, non-intervention.

  • *

    Adjusted for baseline BMI of the children, sex, SES, and BMI of the mother, as well as clustering effect among schools (OR of NI was taken as 1).

  • Significant difference between I and NI (χ 2 test, p < 0.05).

Incidence of overweightI7.
 Adjusted OR*0.720.670.761.200.850.260.990.60
 (95% CI)(0.43 to 1.19)(0.33 to 1.35)(0.36 to 1.59)(0.54 to 2.67)(0.36 to 1.98)(0.07 to 0.87)(0.43 to 2.26)(0.62 to 1.15)
 p valuep = 0.198p = 0.260p = 0.468p = 0.655p = 0.698p = 0.030p = 0.974p = 0.127
Incidence of obesityI2.
 Adjusted OR*0.580.560.620.290.671.001.040.40
 (95% CI)(0.24 to 1.45)(0.16 to 1.97)(0.17 to 2.30)(0.06 to 1.40)(0.12 to 3.87)(0.18 to 5.73)(0.36 to 3.07)(0.09 to 1.79)
 p valuep = 0.244p = 0.366p = 0.475p = 0.123p = 0.658p = 0.999p = 0.939p = 0.230
Remission of overweightI41.745.538.540.042.942.920.061.5
 Adjusted OR*2.521.794.529.753.551.220.405.43
 (95% CI)(0.88 to 7.16)(0.37 to 8.62)(0.86 to 23.65)(0.95 to 100.3)(0.46 to 27.11)(0.17 to 8.50)(0.05 to 3.26)(1.28 to 23.01)
 p valuep = 0.084p = 0.468p = 0.074p = 0.056p = 0.223p = 0.842p = 0.389p = 0.022
Remission of obesityI30.828.633.442.
 Adjusted OR*1.717.741.800.667.101.014.99
 (95% CI)(0.42 to 6.91)(0.39 to 152.0)(0.26 to 12.50)(0.11 to 4.09) (0.22 to 232.1)(0.10 to 9.85)(0.48 to 51.61)
 p valuep = 0.449p = 0.178p = 0.552p = 0.653 p = 0.271p = 0.993p = 0.178


I and NI showed similar cumulative 4-year remission rates of overweight (Table 4). A significant effect was seen in children of normal-weight mothers only (adjusted OR, 5.43; 95% CI, 1.28 to 23.01; p = 0.02). A marginally significant effect on remission of overweight was seen in all children (adjusted OR, 2.52; 95% CI, 0.88 to 7.16; p = 0.08) and in girls (adjusted OR, 4.52; 95% CI, 0.86 to 23.65; p = 0.07), whereas no effect was seen in boys.

Lifestyle Variables

Compared with NI, 4-year changes in the HEI, physical activity, and media time tended to improve in I (not significant; Table 5).

Table 5. . Four-year changes in prevalence of lifestyle habits (HEI, physical activity, and media time and lifestyle index) in the NI and I groups
  1. HEI, healthy eating index; NI, non-intervention; I, intervention.

HEI (%)Good NI: n = 106 (19.3%) I: n = 17 (11.3%)Good9.447.1
 Medium NI: n = 290 (52.7%) I: n = 90 (59.6%)Good11.715.6
 Poor NI: n = 154 (28.0%) I: n = 44 (29.1%)Good0.62.3
Physical activity (%)High NI: n = 240 (39.3%) I: n = 69 (42.1%)High80.481.2
 Medium NI: n = 160 (26.2%) I: n = 52 (31.7%)High70.069.2
 Low NI: n = 211 (34.5%) I: n = 43 (26.2%)High51.751.2
Media time (%)Low NI: n = 455 (74.5%) I: n = 118 (72.0%)Low69.271.2
 High NI: n = 156 (25.5%) I: n = 46 (28.0%)Low17.930.4
Lifestyle (%)Healthy NI: n = 44 (8.3%) I: n = 4 (2.8%)Healthy81.80
 Medium NI: n = 438 (82.6%) I: n = 124 (86.1%)Healthy7.17.3
 Poor NI: n = 48 (9.1%) I: n = 16 (11.1%)Healthy00


  1. Top of page
  2. Abstract
  3. Introduction
  4. Research Methods and Procedures
  5. Results
  6. Discussion
  7. Acknowledgments
  8. References

Evaluating KOPS showed that sustainability in outcome variables could be achieved without structural or environmental changes. There is still need for policy support, but there was a high acceptance, and the costs of the intervention were low. However, our intervention may cause a steeper SES gradient in overweight. There were no potential side effects. Taken to gether, our data are in favor of a school-based health promotion.

Weight Status

The majority of studies on school-based health promotions reported effects on health knowledge, attitudes, and behavior (4). In contrast, only modest or no changes in weight were observed. Characteristics of intervention, puberty, and methodologic limitations inherent to study design and the environment may have biased the effect. These data suggested that universal health promotions have long-term effects on overweight, but these effects were selective in children with high SES and children with normal-weight mothers. This may be explained by a healthier lifestyle in these families. However, the inverse social gradient in overweight observed in our children flattened but remained even after adjusting for lifestyle variables (20). In addition, girls tended to profit more than boys. Thus, future programs should take into account SES, parental body weight, and sex as confounders.

There were no effects on obesity, suggesting that health promotion within schools cannot replace treatment. Thus, future frameworks should include the primary care and/or clinical setting (4).

Study Limitations

Our dropout rate was high. However, these numbers were in line with other long-term studies (21)(22). Dropout rates differ between randomized controlled studies and studies performed within a public health setting. Study design may add to dropout rates. Within KOPS, two representative cohorts of children were assessed with post hoc re-identification of I children (23).

Prevalences of overweight and children of low SES families were higher in dropout rate compared with participants. However, despite this selective dropout, the prevalences in I and NI were only marginally different at T0, suggesting internal validity. There might be a bias in external validity; e.g., percent of children who profited from the intervention might be lower in both groups, but the absolute difference between I and NI was the same. The higher prevalence of overweight mothers in NI compared with I may cause selection bias. This might lead to an overestimation of the intervention effect. In addition, stratification reduces study power (i.e., a higher power in NI because of higher number).

The prevalence of minorities was low in the KOPS study (∼7%). Thus, the results cannot be generalized to populations with a higher prevalence of different ethnic groups.

Do More Intense Interventions Improve Effectiveness?

It is tempting to speculate that 1) actualizing the school environment in promoting health in addition to classroom interventions or 2) more intense interventions are needed to improve effectiveness of preventive measures (23). However, high intensity may reduce the effectiveness of prevention. A 3-year school-based multi-component intervention for reducing percentage body fat in American Indian elementary schoolchildren (i.e., Pathways) resulted in improved food- and health-related knowledge and behaviors without a reduction in body fat (24). Although the program included a classroom curriculum, food service, physical education, and a family intervention and also received strong support from tribal, educational, and community authorities, the study did not reach its goal, suggesting that more intensive interventions do not have better effectiveness.

Are Family-based Interventions More Successful?

Families represent the most important foci for preventive efforts in children (1)(4)(5)(25). In fact, 10-year follow-up data of the Special Turku Coronary Risk Factor Intervention Project (STRIP) study with biannually individualized dietary and lifestyle counseling during the first 10 years of life showed a reduction in prevalence of overweight in girls but not in boys (21). However, other family-based interventions have limited long-term success rates (26). Within KOPS, counseling and education of 92 families were performed within a 3-month period at home (11)(14). The 1-year follow-up data showed some positive effects on food and activity behavior and on mean BMI. Although mean BMI of the whole group improved, mean BMI of overweight children from low SES families increased, suggesting that a low SES served as a barrier against family intervention. The need for social stratification or a societal approach in prevention and treatment of overweight is obvious (27)(28).


  1. Top of page
  2. Abstract
  3. Introduction
  4. Research Methods and Procedures
  5. Results
  6. Discussion
  7. Acknowledgments
  8. References

The authors thank the Nutritional Science students who helped in data acquisition (Antje Bartow, Christine Becker, Isabell Behrendt, Katja Böhme, Ulrike Bruse, Anika Bumbe, Britta Dilba, Claudia Eckardt, Agnes Gregalis, Alice Grewing, Andreas Grund, Julia Hasse, Melanie Heinsen, Anja Holzapfel, Vicky Hunte, Astrid Ibing, Christine Jensen, Marion Jensen, Josa Kaiser, Nicole Kaszuba, Carolin Kirchwehm, Doreen Langusch, Kerstin Labitzke, Weeke Ludwig, Anja Meyer, Anne Morgenstern, Bettina Müller-Browne, Enne Muth, Susanne Neite, Ulrike Ott, Ulrike Preuss, Dunja Riebesel, Miriam Rohmann, Nadia Röwe, Claudia Schirmer, Silke Schwarz, Vera Sieberns, Anne Suikat, Tanja Treis, and Ina Wlodasch), the school physicians of the city of Kiel (Drs. König, Dörfler, Everding, Lampe, and Münzer), Ministerium für Arbeit, Gesundheit und Soziales and Ministerium für Bildung, Wissenschaft, Forschung und Kultur des Landes Schleswig-Holstein, as well as all participating primary schools with their heads, secretaries, teachers, parents, and pupils. This study was funded by the Deutsche Forschungsgemeinschaft (DFG Mü 5.1, 5.2, 5–3 und 5.5), World Cancer Research Fund-UK, London, Wirtschaftliche Vereinigung Zucker, Bonn, Danone Stiftung, München, and Deutsche Angestellten-Krankenkasse, Hamburg. The sponsors of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the paper. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

  • 1

    Nonstandard abbreviations: KOPS, Kiel Obesity Prevention Study; SES, socioeconomic status; TSF, triceps skinfold; WC, waist circumference; I, intervention; NI, non-intervention; HEI, healthy eating index; SDS, standard deviation score; OR, odds ratio; CI, confidence interval.


  1. Top of page
  2. Abstract
  3. Introduction
  4. Research Methods and Procedures
  5. Results
  6. Discussion
  7. Acknowledgments
  8. References
  • 1
    World Health Organization (November 2006) European Ministerial Conferences on Counteracting Obesity Istanbul, Turkey.
  • 2
    United States Department of Health and Human Services (2000) Healthy People 2010. Understanding and Improving Health. Objectives for Improving Health U.S. Government Printing Office Washington, DC.
  • 3
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