Long-term effects of a non-intensive weight program on body mass index and metabolic abnormalities of obese children and adolescents
© Kubicky et al.; licensee BioMed Central Ltd. 2012
Received: 20 December 2011
Accepted: 8 June 2012
Published: 8 June 2012
Previous studies have demonstrated positive effects of short-term, intensive weight-loss programs in obese children.
We evaluated the long-term effects of a non-intensive weight management program on the BMI, glycemic measures and lipid profiles of obese youth.
Retrospective chart review of 61 obese children followed at our Weight Management Center. During visits, dietary changes and regular physical activity were recommended. Anthropometric and laboratory parameters were evaluated.
At the initial visit, the mean age was 11.1 ± 2.6 years. The follow-up period was 47.3 ± 11.1 months; the number of outpatient visits per year (OV/yr) was 2.9 ± 0.9. At the end of the follow-up, the whole group exhibited decreased BMI z-score and LDL-cholesterol when compared to the initial visit. In the subset of subjects in whom OGTT was performed, 2-hour glucose and peak insulin were decreased. Compared to children with ≤ 2 OV/year, those with > 2 OV/year (3.19 ± 0.7) exhibited a significant decrease in their BMI z-score, LDL-cholesterol, 2-hour glucose, and peak insulin.
Our study suggests that a periodical (~ 3 OV/yr) evaluation in a non-intensive, long-term weight management program may significantly improve the degree of obesity and cardiovascular risk factors in childhood.
KeywordsObesity Weight loss Dyslipidemia Impaired glucose tolerance Insulin resistance
It is well known that the prevalence of obesity in children has reached epidemic proportions: during the past decade, the prevalence of children with a Body Mass Index (BMI) > 95th percentile has tripled in all pediatric age-range groups . Pediatric obesity is associated with significant medical complications during childhood , and it is a significant risk factor for morbidity and mortality in adulthood [2, 3]. Most of the comorbidities of childhood obesity share insulin resistance as a common underlying mechanism. Such comorbidities (dyslipidemia, nonalcoholic fatty liver disease, type 2 diabetes mellitus (DM), hypertension, obstructive sleep apnea, polycystic ovary syndrome) tend to cluster in what is known as the metabolic syndrome [1, 4].
Pediatric metabolic syndrome is a predictor of the metabolic syndrome and type 2 DM in adulthood ; in addition, obesity-associated atherosclerosis begins in childhood  and its rate of progression is greatly increased by lipid abnormalities. As a result, detecting and correcting obesity and its associated metabolic abnormalities in childhood may help prevent cardiovascular morbidity and mortality in adulthood.
A number of studies have demonstrated the positive effects of intensive weight-loss programs in children [7–11]. Yet, intensive programs are based on frequent interactions between children, their families, and a multi-disciplinary team of providers; thus, they are necessarily expensive and short-term. In addition, most of the beneficial effects of an intensive short-term intervention often do not persist once the program is completed [12–14].
Since little is known of the long-term impact of a non-intensive, conventional weight management program in obese children [15, 16], we evaluated the effects of our Weight Management Program over a 4-year period at the Section of Endocrinology and Diabetes at St. Christopher’s Hospital for Children in a subset of obese patients who maintained ongoing periodic follow-up visits. The goals of our study were: 1) to analyze the changes of BMI z-score, glycemic measures and lipid profiles at the end of the 4-year follow-up period, and 2) to correlate these changes with the frequency of the follow-up visits.
We conducted a retrospective analysis of the medical records of obese (BMI > 95th percentile for age and sex) children and adolescents evaluated between 2001 and 2008 at the Weight Management Center in the Section of Endocrinology and Diabetes at St. Christopher’s Hospital for Children. All children were identified by tracking patients for whom the ICD-9 Code 783.1 was used (“abnormal weight gain”). Most of these patients were referred to us by their pediatricians for an evaluation of overweight/obesity and/or high serum insulin/abnormal lipid levels.
Inclusion criteria were the following:  children with a BMI > 95th percentile,  1–18 years of age  ≥ 2 years of follow-up, and  fasting lipid panel, glucose and insulin obtained at the beginning and at the end of the follow-up period. Exclusion criteria included: 1) diagnosis of DM (type 1 or type 2) and 2) use of medications known to affect insulin sensitivity or glucose/lipid metabolism (metformin, insulin, growth hormone).
The Institutional Regulatory Board of Drexel University College of Medicine approved the retrospective analysis of the medical records.
At the initial visit, a physician screened the obese subjects for metabolic comorbidities, while a registered dietitian assessed their dietary habits and amount of physical activity. Generalized handouts geared towards healthy eating were provided to each subject; the dietitian reviewed each topic of the handout with the subjects and their parent/guardian. The topics included: making healthy food choices (increasing whole grains, lean meats and lower fat foods into the diet), eating three balanced meals per day using the plate method, portion control (measuring portions and learning about food labels), eliminating beverages containing more than 5 calories except for low fat milk, and making sensible snack choices. Thirty minutes of daily physical activity was recommended to all subjects with a focus on an activity that the child would enjoy.
At the subsequent visits (scheduled every 2 to 4 months), obese children and adolescents met with a pediatric nurse practitioner and the dietitian for approximately 20 minutes with each of the two providers; in order to measure implementation of the previous recommendations, during each of the follow-up visits, the child’s dietary intake and physical activities were reassessed by patient history and diet and exercise recall. Patients who reported adhering to the dietary or physical activity changes were praised and encouraged to continue. If there was poor adherence to previous recommendations, or if there was need for further improvement, efforts were made by the dietitian and nurse practioner to detect barriers to change and to help determine alternative ways of engaging patients to adhere.
At each visit, body weight was measured with a balance scale, and height was measured with a wall-mounted stadiometer by a trained medical assistant. BMI was calculated as weight in kilograms divided by the height in meters squared, and expressed as a z-score by using the Centers for Disease Control and Prevention 2000 program . Body weight, height and BMI were compared to the measurements/calculations of the previous visit by the nurse practitioner and dietitian in order to monitor each patient’s weight loss/gain and change in the BMI as standard of care, and as an objective way to measure the likelihood that the patient was adhering to the dietary and physical activity-related recommendations.
A fasting lipid panel (total cholesterol, low-density lipoprotein [LDL] cholesterol, high-density lipoprotein [HDL] cholesterol, and triglyceride [TG] levels) was requested yearly. A 2-hour Oral Glucose Tolerance test (OGTT) was recommended to all children: impaired glucose tolerance (IGT) and DM were defined as a 2-hour glucose level of 140–199 mg/dL and ≥ 200 mg/dL, respectively . Insulin resistance was estimated by using the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), calculated as fasting plasma glucose (mg/dL) x fasting insulin (μU/mL) ÷ 405 . Dyslipidemia was defined as high TG (≥ 90th percentile for age and sex) and/or low HDL-cholesterol (≤ 10th percentile for age and sex) concentrations .
Data were analyzed with SPSS software version 17.0 for Windows (SPSS, Chicago, IL). All data were expressed as the mean plus or minus SD or range. A p-value < 0.05 was considered to be statistically significant. Differences in the mean values between groups were evaluated using a Student’s t-test or analysis of variance.
A total of 61 children and adolescents met our inclusion criteria. 39 children were females and 24 were prepubertal; the mean age was 11.1 ± 2.6 years (mean ± SD). With respect to their ethnicity, 25 were African American, 26 were Hispanic, 7 were Caucasian, 2 Asian and 1 identified himself as other. The duration of the follow-up period was 47.3 ± 11.1 months while the number of outpatient visits per year (OV/yr) was 2.9 ± 0.9.
Anthropometric and metabolic characteristics of the population sample
2.49 ± 0.4
2.33 ± 0.4
Fasting glucose (mmol/L)a
4.8 ± 0.5
4.6 ± 0.5
Fasting insulin (pmol/L)b
145.1 ± 90.3
135.4 ± 100.7
4.5 ± 3
4.1 ± 2.9
1.2 ± 0.3
1.2 ± 0.3
2.9 ± 0.9
2.5 ± 0.6
2.8 ± 1.8
2.3 ± 0.9
2-hour glucose (mmol/L)a
2.9 ± 0.6
2.5 ± 0.7
Peak insulin (pmol/L)b
1445.9 ± 869.5
1070.9 ± 748.7
All children with an initially normal OGTT (n = 37) maintained a normal OGTT by the end of the follow-up period, with the exception of 1 child who developed IGT (2-hr glucose, 141 mg/dL); his HOMA-IR increased and BMI z-score decreased. 5 children were found with IGT on their initial OGTT; their BMI z-score and HOMA-IR were similar to those of children with normal OGTT. In 4 children with IGT, the OGTT normalized by the end of the follow-up, while the 5th child developed DM. Of the 4 children with normalized OGTT, 1 child experienced increased BMI z-score and HOMA-IR, 1 child decreased BMI z-score and increased HOMA-IR, and 2 children increased BMI z-score and decreased HOMA-IR. The child who became diabetic had decreased BMI z-score and HOMA-IR by the end of the follow-up period.
When children were grouped according to changes in BMI z-score [increased vs. same/decreased BMI z-score (0.2 ± 0.15 vs. -0.32 ± 0.3, p < 0.001)], those with the same or decreased BMI z-score exhibited decreased fasting insulin (136.7 ± 98.6 vs. 153.5 ± 91 pmol/L, last vs. initial visit, p < 0.001) and LDL-cholesterol (2.4 ± 0.5 vs. 2.7 ± 0.9 mmol/L, last vs. initial visit, p = 0.02).
Comparison of BMI z-score and metabolic parameters according to the presence of dyslipidemia at the initial visit
2.42 ± 0.4
2.51 ± 0.4
1.0 ± 0.2
1.3 ± 0.2
1.6 ± 1.0
0.9 ± 0.3
4 ± 1.8
4.6 ± 3.1
Changes of BMI z-score and metabolic parameters at the last visit according to changes of lipid levels
Abnormal HDL & TG
Abnormal HDL & TG
Abnormal HDL & TG
Normal HDL & TG
Normal HDL & TG
Abnormal HDL & TG
Normal HDL & TG
Normal HDL & TG
2.36 ± 0.4
2.32 ± 0.5
2.49 ± 0.4
2.19 ± 0.3*
2.47 ± 0.5
2.47 ± 0.5
2.52 ± 0.4
2.37 ± 0.4
0.9 ± 0.1
0.9 ± 0.1
1.1 ± 0.3
1.1 ± 0.2
1.2 ± 0.1
1 ± 0.1*
1.3 ± 0.2
1.3 ± 0.3
1.9 ± 1.4
1.3 ± 32
1.6 ± 0.7
1 ± 0.3*
1 ± 0.3
1.3 ± 0.4
0.9 ± 0.3
0.9 ± 0.3
4.2 ± 1.9
5.3 ± 3.3
4.7 ± 3.4
3.7 ± 2
4 ± 2.4
3.3 ± 2.4
4.7 ± 3.2
3.9 ± 3.2
5 children with normal HDL and TG at baseline developed dyslipidemia at the end of the follow-up period: 1 child developed both elevated TG and low HDL, 3 children had low HDL and 1 developed high TG. These 5 children did not experience any significant change of the mean BMI-z-score or HOMA-IR at the end of the follow-up period (Table 3).
Changes of BMI z-score and metabolic parameters according to the frequency of clinic visits
≤ 2 Outpatient visits
>2 Outpatient visits
10.9 ± 1.64
11.2 ± 2.9
2.44 ± 0.4
2.37 ± 0.4
2.5 ± 0.4
2.32 ± 0.4
Fasting glucose (mmol/L)a
4.8 ± 0.32
4.5 ± 0.4
4.8 ± 0.6
4.7 ± 0.5
Fasting insulin (pmol/L)b
151.4 ± 59.0
150.01 ± 95.8
143.8 ± 97.2
131.3 ± 102.1
4.7 ± 1.8
4.4 ± 2.9
4.5 ± 3.2
4 ± 2.9
1.2 ± 0.2
1.1 ± 0.3
1.2 ± 0.3
1.2 ± 0.3
106.2 ± 84.4
97.9 ± 12.3
111.3 ± 36.7
96.4 ± 23.5
1.6 ± 1
1.2 ± 0.4
1.1 ± 0.7
1 ± 0.4
2-hour glucose (mmol/L)a
(n=8) 5.8 ± 1.2
5.3 ± 1.3
(n=34) 6.3 ± 1.2
5.2 ± 1.0
Peak insulin (pmol/L)a
(n=6) 1486.9 ± 1039.0
1474.4 ± 1206.3
(n=32) 1472.3 ± 817.4
952.9 ± 563.2
In our multi-ethnic population sample, a non-intensive (~ 3 visits per year) weight management program that reinforced healthy dietary modifications and regular daily activity over a 4-year period resulted in a statistically significant reduction of BMI z-score and LDL-cholesterol, and improvement of glucose tolerance.
Extensive evidence previously published supports the effectiveness of intensive weight-loss programs in children. In a study conducted by Wilfley et al., 204 overweight children were enrolled to determine the short-term and long-term efficacy of weight-loss and weight maintenance programs . After 5 months of intensive weekly meetings focused on weight-loss treatment with a multi-disciplinary team, almost 90% of children exhibited a decreased BMI z-score. At the end of the weight-loss intervention, the 2 active maintenance groups experienced a mean change in BMI z-score of – 0.22 from baseline to 2-year follow-up versus the control group. Such BMI z-score reduction is similar to the one shown in our study by the end of the 4-year follow-up (−0.16); however, Wilfley et al. did not evaluate the impact of weight loss on metabolic parameters. Savoye et al. studied a population of 209 obese children to evaluate the effects of a 12-month weight management program on adiposity and metabolic parameters . The program included exercise, nutrition, and behavior modification: intervention occurred biweekly the first 6 months and bimonthly thereafter. At the end of study, the weight-management group experienced a significant decrease of BMI and HOMA-IR compared to the control group; conversely, no difference was found relative to changes in fasting glucose, HDL-cholesterol, LDL-cholesterol, or blood pressure. Reinehr et al. studied changes in weight status and cardiovascular disease (CVD) risk factors in 203 obese children who attended a 1-year outpatient intervention program; enrolled subjects were then evaluated 1 year after the end of the intervention . The program included weekly meetings with an exercise physiologist as well as once to twice monthly with a dietitian and a psychologist. Children who experienced a reduction of BMI SDS (72% of the group) at the end of the 12-month intervention maintained this reduction 1 year later. In addition, children with reduced BMI SDS (but not those without) showed improved HDL-cholesterol, LDL-cholesterol, blood pressure, and HOMA-IR.
Although the positive effects of all these studies were sustained for a relatively long period of time, the high costs associated with the frequent utilization of a team of dietitians, social workers, and exercise physiologists render this format not widely applicable. In contrast, our findings suggest that weight management programs based on less frequent encounters with a smaller team (pediatric nurse practitioner and a registered dietitian) may result in a similarly effective and lasting reduction of obesity and obesity-associated metabolic abnormalities.
The importance of preventing or reducing the severity of overweight in childhood is supported by a number of studies demonstrating the link between pediatric obesity and morbidity and mortality in adulthood. Three previous studies have identified an association between overweight in children and adolescents with increased rates of death due to coronary heart disease [21, 22] and with death from all causes [22, 23]. In a large cohort of American-Indian subjects followed since childhood , the rate of premature death (before 55 years of age) from endogenous causes among children in the highest quartile of BMI was more than double than that in children in the lowest quartile. Of note, the association between BMI and premature death was attenuated but remained significant after adjustment for glucose level, cholesterol level, and blood pressure: thus, some of the effects of overweight on the risk of premature death may not depend on abnormal glucose and lipid metabolism, or on hypertension.
In our cohort of 61 children, 5 were found with IGT at baseline; in 4 of these children, the OGTT normalized by the end of the 4-year follow-up period, while one child became diabetic. In a similar study, Weiss et al. identified 33 children with IGT in a population sample of 117 obese children . By the end of a 2-year period, 15 of those with IGT reverted to normal glucose tolerance while 8 developed Type 2 DM. When compared to those who reverted to normal glucose tolerance, subjects who developed DM were significantly more obese at baseline and increased their BMI during the follow-up period; in our study, the relationship between OGTT results and initial BMI z-score and/or change in BMI z-score overtime is less clear. While the association between IGT and risk to develop DM has not been well defined in children, it has been clearly demonstrated in adults [25, 26]; in addition, IGT in adults appears to be linked to an increased risk for cardiovascular disease and mortality [27, 28].
In the present study, 25 of the 60 subjects had dyslipidemia at the initial visit: by the end of the 4-year follow-up period, in 15 of these 25 subjects the abnormal lipid levels normalized: unlike those with persistently abnormal lipid panel, the 15 children with normalized lipid levels exhibited a significantly decreased BMI z-score during the 4-year follow-up period. Previous cross-sectional studies have shown a high prevalence of low HDL-cholesterol and elevated TG in obese children [29, 30]. A longitudinal study conducted in the United Kingdom in more than 5,000 children showed that 1 SD greater BMI at age 9–12 years was associated with high TG and low HDL-cholesterol at age 15–16 years ; in the same study, changing from overweight/obese at age 9–12 to normal weight at age 15–16 was associated with better cardiovascular risk profiles than remaining overweight/obese from childhood through adolescence. Data from 4 prospective cohorts have demonstrated that cardiovascular risk factors in childhood (including high TG) significantly predict subclinical atherosclerosis as early as 9 years of age , thus justifying sustained efforts to correct obesity and lipid abnormalities in children.
There are some limitations of our study, such as the lack of a control group and the relatively small sample size. However, the fact that our results are consistent with those of studies including a larger number of subjects and a control group supports the validity of our findings. In addition, there may have been a selection bias regarding the subjects included in the retrospective analysis, since only a small number of children initially evaluated at our Weight Management Center were eventually followed for 2 or more years. We can speculate that the effects of the program were less significant for those subjects followed for less than 2 years. Those subjects having a longer duration of follow-up may have experienced weight loss early in the program, greater adherence to the lifestyle changes, or more family involvement. Our results demonstrate that a non-intensive weight management program offers potential medical benefits to children and adolescents who are sufficiently motivated to continue their follow-up visits.
The long duration of our retrospective study, and the non-intensive approach of our intervention, has rendered unfeasible the concomitant evaluation of a control, completely untreated, group of obese children. To circumvent such limitation, we have used two historical control groups followed longitudinally by Reinehr et al.  and by D’Hondt et al. . In the former study, 100 overweight children [BMI-SDS 1.92 (1.27-2.75)] with a mean age of 9 years (6–15 years) were periodically evaluated during a 2-year period without any intervention. This control group did not experience any significant change in their BMI-SDS. In the latter study by D’Hondt et al., at baseline 50 overweight children (8 of which were obese) had a mean age of 11.6 ± 0.8 years and a baseline BMI z-score range of 1.55 ± 0.39 (1.00; 2.64). 2 years later, even these children’s BMI z-scores remained unchanged. These finding suggests that the significant reduction of BMI-SDS observed in our study likely depends on the lifestyle modifications reinforced by our team, rather than simply reflecting a physiological change in adiposity.
In conclusion, our study suggests that a non-intensive, long-term weight management program may significantly improve the degree of obesity and some cardiovascular risk factors in childhood. In addition, this non-intensive treatment (a small team approach) is more likely to be reimbursed by 3rd party payors making it more financially sustainable. Prospective studies with a larger population sample and comparison to a control group are warranted to confirm these findings.
Body Mass Index
Outpatient visits per year
Oral Glucose Tolerance Test
Impaired glucose tolerance
Homeostasis Model Assessment of Insulin Resistance
- McCrindle BW, Urbina EM, Dennison BA, Jacobson MS, Steinberger J, Rocchini AP: Drug Therapy of High-Risk Lipid Abnormalities in Children and Adolescents: A Scientific Statement From the American Heart Association Atherosclerosis, Hypertension, and Obesity in Youth Committee, Council of Cardiovascular Disease in the Young, With the Council on Cardiovascular Nursing. Circulation. 2007, 115: 1948-1967. 10.1161/CIRCULATIONAHA.107.181946.View ArticlePubMedGoogle Scholar
- Weiss R, Kaufman FR: Metabolic Complications of Childhood Obesity. Diabetes Care. 2008, 31 (Suppl 2): S310-S316.View ArticlePubMedGoogle Scholar
- Franks PW, Hanson RL, Knowler W, Sievers M, Bennett PH, Looker HC: Childhood Obesity, Other Cardiovascular Risk Factors, and Premature Death. N Engl J Med. 2010, 362 (6): 485-493. 10.1056/NEJMoa0904130.PubMed CentralView ArticlePubMedGoogle Scholar
- Cook S, Auinger P, Huang TTK: Growth Curves for Cardio-Metabolic Risk Factors in Children and Adolescents. J Pediatr. 2009, 155 (3)): S6.e15-26-10.1016/j.jpeds.2009.04.05.PubMedGoogle Scholar
- Morrison JA, Friedman LA, Wang P, Glueck CJ: Metabolic Syndrome in Childhood Predicts Adult Metabolic Syndrome and Type 2 Diabetes Mellitus 25 to 30 Years Later. J Pediatr. 2008, 152: 201-206. 10.1016/j.jpeds.2007.09.010.View ArticlePubMedGoogle Scholar
- Morrison J: Metabolic Syndrome in Childhood Predicts Adult Cardiovascular Disease 25 years Later: The Princeton Lipid Research Clinics Follow-up Study. Pediatrics. 2007, 120: 340-345. 10.1542/peds.2006-1699.View ArticlePubMedGoogle Scholar
- Wilfley DE, Stein RI, Saelens BE, Mockus DS, Matt GE, Hayden-Wade HA: Efficacy of Maintenance Treatment Approaches for Childhood Overweight: A Randomized Controlled Trial. JAMA. 2007, 298 (14): 1661-1672. 10.1001/jama.298.14.1661.View ArticlePubMedGoogle Scholar
- Savoye M, Berry D, Dziura J, Shaw M, Serrecchia J, Barbetta G: Anthroprometric and Psychosocial Changes in Obese Adolescents Enrolled in a Weight Management Program. J Am Diet Assoc. 2005, 105 (3)): 364-369.View ArticlePubMedGoogle Scholar
- Berry D, Savoye M, Melkus G, Grey M: An Intervention for multiethnic obese parents and overweight children. Appl Nurs Res. 2007, 20: 63-71. 10.1016/j.apnr.2006.01.007.PubMed CentralView ArticlePubMedGoogle Scholar
- Savoye M, Shaw M, Dziura J, Tamborlane W, Rose P, Guandalini C: Effects of a Weight Management Program on Body Composition and Metabolic Parameters in Overweight Children: A Randomized Controlled Trial. JAMA. 2007, 297 (24): 2697-2704. 10.1001/jama.297.24.2697.View ArticlePubMedGoogle Scholar
- Gately PJ, Cooke CB, Barth JH, Bewick BM, Radley D, Hill AJ: Children’s Residential Weight-Loss Programs Can Work: A Prospective Cohort Study of Short-Term Outcomes for Overweight and Obese Children. Pediatrics. 2005, 116: 73-77. 10.1542/peds.2004-0397.View ArticlePubMedGoogle Scholar
- Goldfield GS, Raynor HA: Epstein LH Treatment of pediatric obesity. Handbook of Obesity Treatment. Edited by: Wadden TA, Stunkard AJ. 2002, Guildford Press, New York, 532-555.Google Scholar
- Weiss EC, Galuska DA, Kettel Khan L, Gillespis C, Serdula MK: Weight regain in U.S. adults who experienced substantial weight loss, 1999–2002. Am J Prev Med. 2007, 33: 34-40. 10.1016/j.amepre.2007.02.040.View ArticlePubMedGoogle Scholar
- Dansinger ML, Tatsioni A, Wong JB, Chung M, Balk EM: Meta-analysis: The effect of dietary counseling for weight loss. Ann Intern Med. 2007, 147: 41-50.View ArticlePubMedGoogle Scholar
- Jeffery RW, Hinkle LK, Carr RE, Anderson DA, Lemmon CR, Engler LB: Long-Term Maintenance of Weight Loss: Current Status. Health Psychol. 1997, 19: 5-16.View ArticleGoogle Scholar
- Perri MG, Nezu AM, Patti ET, McCann KL: Effect of length of treatment on weight loss. J Consult Clin Psychol. 1989, 57: 450-452.View ArticlePubMedGoogle Scholar
- Kuczmarski RJ, Ogden CL, Grummer-Strawn HM, Flegal KM, Guo SS, We R: CDC growth charts: United States. Advance data from vital and health statistics, no. 314. 2000, National Center for Health Statistics, Hyattsville(MD)Google Scholar
- Expert Committee on the Diagnosis and Classification of Diabetes Mellitus: Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 1997, 20: 1183-1197.View ArticleGoogle Scholar
- Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis Model assessment: insulin resistance and [beta]-cell function from fasting plasma glucose and insulin concentration in man. Diabetologia. 1985, 28: 412-419. 10.1007/BF00280883.View ArticlePubMedGoogle Scholar
- Reinehr T, de Sousa G, Toschke AM, Andler W: Long-term follow-up of cardiovascular disease risk factors in children after an obesity intervention. Am J Clin Nutr. 2003, 84: 490-496.Google Scholar
- Must A, Jacques PF, Dallal GE, Bajema CJ, Dietz WH: Long-term morbidity and mortality of overweight adolescents: a follow-up of the Harvard Growth Study of 1922 to 1935. N Engl J Med. 1992, 327: 1350-1355. 10.1056/NEJM199211053271904.View ArticlePubMedGoogle Scholar
- DiPietro L, Mossberg HO, Stunkard AJ: A 40-year history of overweight children in Stockholm: life-time overweight, morbidity, and mortality. Int J Obes Relat Metab Disord. 1994, 18: 585-590.PubMedGoogle Scholar
- Gunnell DJ, Frankel SJ, Nanchahal K, Peters TJ, Davey Smith G: Childhood obesity and adult cardiovascular mortality: a 57-y follow-up study based on the Boyd Orr cohort. Am J Clin Nutr. 1998, 67: 1111-1118.PubMedGoogle Scholar
- Weiss R, Taksali SE, Tamborlane WV, Burgert TS, Savoye M, Caprio S: Predictors of Changes in Glucose Tolerance Status in Obese Youth. Diabetes Care. 2005, 28 (4): 902-909. 10.2337/diacare.28.4.902.View ArticlePubMedGoogle Scholar
- Lee ET, Welty TK, Cowan LD, Wang W, Rhoades DA, Devereux R: Incidence of Diabetes in American Indians of Three Geographic Areas: The Strong Heart Study. Diabetes Care. 2002, 25: 49-54. 10.2337/diacare.25.1.49.View ArticlePubMedGoogle Scholar
- Gerstein HC, Santaguida P, Raina P, Morrison KM, Balion C, Hunt D: Annual incidence and relative risk of diabetes in people with various categories of dysglycemia: a systematic overview and meta-analysis of prospective studies. Diabetes Res Clin Pract. 2007, 78 (3): 305-312. 10.1016/j.diabres.2007.05.004.View ArticlePubMedGoogle Scholar
- Barr EL, Zimmet PZ, Welborn TA, Jolley D, Magliano DJ, Dunstan DW: Risk of cardiovascular and all-cause mortality in individuals with diabetes mellitus, impaired fasting glucose, and impaired glucose tolerance: the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). Circulation. 2007, 116 (2): 151-157. 10.1161/CIRCULATIONAHA.106.685628.View ArticlePubMedGoogle Scholar
- Sourij H, Saely CH, Schmid F, Zweiker R, Marte T, Wascher TC: Post-challenge hyperglycaemia is strongly associated with future macrovascular events and total mortality in angiographied coronary patients. Eur Heart J. 2010, 31 (13): 1583-1590. 10.1093/eurheartj/ehq099.View ArticlePubMedGoogle Scholar
- Pinhas-Hamiel O, Lerner-Geva L, Copperman NM, Jacobson MS: Lipid and Insulin Levels in Obese Children: Changes with Age and Puberty. Obesity. 2007, 15: 2825-2831. 10.1038/oby.2007.335.View ArticlePubMedGoogle Scholar
- Raitakari OT, Juonala M, Kähönen M, Taittonen L, Laitinen T, Mäki-Torkko N: Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA. 2003, 290 (17): 2277-2283. 10.1001/jama.290.17.2277.View ArticlePubMedGoogle Scholar
- Lawlor DA, Benfield L, Logue J, Tilling K, Howe LD, Fraser A: Association between general and central adiposity in childhood, and change in these, with cardiovascular risk factors in adolescence: prospective cohort study. BMJ. 2010, 341: c6224-10.1136/bmj.c6224.PubMed CentralView ArticlePubMedGoogle Scholar
- Juonala M, Magnussen CG, Venn A, Dwyer T, Burns TL, Davis PH: Influence of age on associations between childhood risk factors and carotid intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study, the Childhood Determinants of Adult Health Study, the Bogalusa Heart Study, and the Muscatine Study for the International Childhood Cardiovascular Cohort (i3C) Consortium. Circulation. 2010, 122 (24): 2514-2520. 10.1161/CIRCULATIONAHA.110.966465.View ArticlePubMedGoogle Scholar
- Reinehr T, Kersting M, Alexy U, Andler W: Long-Term Follow-Up of Overwight Children: After Training, After a Single Consultation, and Without Treatment. J Pediatr Gastroenterol Nutr. 2003, 37: 72-74. 10.1097/00005176-200307000-00013.View ArticlePubMedGoogle Scholar
- D’Hondt E, Deforche B, Gentier I, De Bourdeaudhuij I, Vaeyens R, Philippaerts , Lenoir M: A longitudinal analysis of grow motor coordination in overweight and obese children versus normal-weight peers. Int J Obes. 2012, : 10.1038/ijo.2012.55.Google Scholar
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