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Research Article | Volume 11 Issue 6 (June, 2025) | Pages 870 - 875
Emerging Trends in Pediatric Obesity: Nutritional Interventions and Long-Term Outcomes
 ,
 ,
 ,
 ,
1
Consultant pediatric NMC hospital Abu Dhabi UAE
2
Senior Resident - General Surgery Kalpana chawla government medical college, Karnal, Haryana, India
3
Pediatric specialists NMC hospital Abu Dhabi UAE
4
Pediatric ER Senior Registrar Kuwait
5
Consultant pediatric NMC royal Abu Dhabi UAE
Under a Creative Commons license
Open Access
Received
May 20, 2025
Revised
June 5, 2025
Accepted
June 17, 2025
Published
June 26, 2025
Abstract

Background: Pediatric obesity is a growing public health concern with long-term implications for cardio metabolic health and psychosocial development. Despite widespread use of dietary counseling, evidence on long-term outcomes of structured nutritional interventions in children remains limited. Methods: This prospective interventional study included 120 obese children aged 6–16 years, divided into three groups based on intervention intensity: Group A received standard counseling; Group B received dietitian-led plans; and Group C participated in a multidisciplinary program. BMI z-scores, metabolic parameters, and quality-of-life scores were evaluated over 12 months. Results: Group C showed the most significant reduction in BMI z-score (−1.2, p=0.004) and improved insulin sensitivity (HOMA-IR −1.1, p=0.002). HbA1c, LDL, ALT, and systolic blood pressure also improved significantly in Group C compared to Groups A and B. Resolution of pre-diabetes (60%) and pre-hypertension (65%) was highest in Group C. Parental involvement and adherence rates were significantly correlated with better outcomes. No adverse events or dropouts were reported. Conclusions: Multidisciplinary interventions with strong behavioral and parental components are superior to standard counseling in managing pediatric obesity. Early intervention targeting lifestyle, diet, and psychosocial support is critical for reversing metabolic risk and improving long-term outcomes.

Keywords
INTRODUCTION

Pediatric obesity has become a global epidemic with profound short- and long-term consequences for physical, metabolic, and psychosocial health. The World Health Organization estimates that over 39 million children under the age of five were overweight or obese in 2022, with rising trends in both high-income and low- to middle-income countries. Childhood obesity is associated with early onset of type 2 diabetes, hypertension, dyslipidemia, and non-alcoholic fatty liver disease, collectively accelerating the risk of premature cardiovascular morbidity and mortality in adulthood.¹˒²

 

The burden of pediatric obesity extends beyond physical health. Studies reveal a higher incidence of depression, stigmatization, and poor self-esteem in obese children and adolescents.³ Additionally, recent evidence highlights the metabolic memory of early obesity, indicating that excess weight in childhood significantly predicts adverse cardiometabolic profiles decades later.⁴˒⁵

Management strategies have traditionally focused on lifestyle changes involving diet, physical activity, and behavioral therapy. While non-pharmacological interventions remain first-line, their efficacy varies due to adherence challenges and socioeconomic barriers.⁶˒⁷ the increasing incidence of severe obesity has prompted the use of more intensive interventions, including pharmacotherapy and bariatric surgery, particularly in adolescents with comorbidities.⁸˒⁹

Recent research also underscores the importance of early intervention and the role of the gut microbiome, epigenetics, and inflammatory pathways in pediatric obesity pathogenesis.¹⁰˒¹¹ Moreover, long-term studies evaluating the sustainability of weight loss and improvement in metabolic health remain limited.¹²˒¹³

 

This study aims to assess the effectiveness of structured nutritional interventions in pediatric patients with obesity and track their long-term outcomes in terms of BMI trajectory, comorbidity resolution, and cardiometabolic risk reduction. The results are expected to provide practical insights into early prevention strategies and therapeutic models tailored to the pediatric population.

MATERIALS AND METHODS

Study Design and Setting

This was a prospective interventional study conducted at a tertiary pediatric endocrinology center. Ethical approval was obtained from the institutional review board, and informed consent was acquired from parents or guardians of all participants.

 

Participants

A total of 120 children aged 6–16 years, diagnosed with obesity as per WHO BMI-for-age percentile charts (≥95th percentile), were enrolled. Exclusion criteria included syndromic obesity, endocrine disorders (e.g., Cushing’s syndrome, hypothyroidism), use of corticosteroids, and previous bariatric intervention.

Intervention

Participants were stratified by age and BMI severity into three groups receiving structured nutritional interventions:

  • Group A: Standard nutritional counseling and physical activity advice
  • Group B: Dietitian-led weekly sessions with tailored meal planning
  • Group C: Multidisciplinary program including nutritionist, psychologist, and fitness coach

 

The intervention spanned 12 months with follow-ups at 3-month intervals. Diet adherence, physical activity, and behavioral changes were recorded through structured diaries and compliance checklists.

 

Data Collection and Outcome Measures

Anthropometric parameters (weight, height, BMI, waist circumference) were measured at baseline and follow-ups using calibrated instruments. Biochemical markers including fasting glucose, insulin, lipid profile, HbA1c, and liver enzymes were assessed at baseline and 12 months. HOMA-IR was calculated as a marker of insulin resistance.

Primary outcomes included change in BMI z-score, insulin sensitivity (HOMA-IR), and lipid profile. Secondary outcomes were changes in liver enzymes, resolution of hypertension or prediabetes, and quality-of-life score improvements using a validated pediatric scale.

 

Statistical Analysis

Data were analyzed using SPSS version 25. Descriptive statistics were used for demographic variables. Paired t-tests and ANOVA assessed changes within and between groups. A p-value <0.05 was considered statistically significant.

 

RESULTS

Baseline Characteristics

A total of 120 children were enrolled and evenly distributed into three intervention groups (n = 40 per group). The mean age was approximately 12.4 years, and no significant differences were observed between the groups in terms of gender, BMI, waist circumference, HbA1c, LDL, or HOMA-IR at baseline (p > 0.05) ([Table 1]).

 

Changes in BMI and Metabolic Parameters

At the 12-month follow-up, all groups showed significant improvements in BMI z-scores, with the most marked reduction in Group C (−1.2, p = 0.004), followed by Group B (−0.6) and Group A (−0.3). Correspondingly, improvements in glycemic control (HbA1c), lipid profile (LDL), and insulin sensitivity (HOMA-IR) were most substantial in Group C ([Table 2]). ALT levels, a marker of hepatic steatosis, also declined significantly in Group C (−6.7 U/L, p = 0.01), indicating reduced liver stress.

Systolic blood pressure decreased modestly in all groups, with Group C again demonstrating the greatest improvement (−6.1 mmHg, p = 0.008). Quality-of-life (QoL) scores showed a significant increase in Group C (+7.2 points, p = 0.001), compared to more modest gains in Groups A and B.

 

Comorbidity Resolution

Resolution rates of obesity-related comorbidities were significantly higher in Group C. Pre-hypertension resolved in 65% of children in Group C compared to 25% in Group A (p < 0.01). Pre-diabetes resolution followed a similar pattern (60% in Group C vs. 22% in Group A, p < 0.01). Additionally, normalization of ALT occurred in 70% of participants in Group C ([Table 3]).

 

Adherence and Lifestyle Modification

Group C demonstrated the highest adherence to dietary recommendations (92%) and physical activity (85%), supported by a high parental involvement score (8.7/10). In comparison, Group A had the lowest compliance rates (diet adherence 63%, activity 50%, involvement score 4.5) ([Table 4]). The differences were statistically significant (p < 0.001 for adherence and activity, p = 0.002 for parental involvement).

 

Safety and Adverse Events

The intervention was well tolerated across all groups. Mild gastrointestinal complaints were reported in only 2 participants from Group A and 1 from Group B, while no such events occurred in Group C. Missed visits and non-compliance were more frequent in Group A (15%), while dropout rates were zero in all groups ([Table 5]).

 

Table 1: Baseline Characteristics of Study Population (n = 120)

Variable

Group A (n = 40)

Group B (n = 40)

Group C (n = 40)

p-value

Age (years)

12.3

12.6

12.4

0.78

Male (%)

55%

50%

52%

0.89

BMI (kg/m²)

28.7

29.5

30.2

0.34

Waist Circumference (cm)

85.2

87.1

88.6

0.29

HbA1c (%)

5.8

5.9

6.0

0.42

LDL (mg/dL)

112.4

115.6

118.2

0.38

HOMA-IR

3.9

4.1

4.3

0.31

 

Table 2: Change in BMI and Metabolic Parameters at 12 Months

Parameter

Group A

Group B

Group C

p-value

BMI z-score

−0.3

−0.6

−1.2

0.004

HbA1c (%)

−0.1

−0.2

−0.4

0.030

LDL (mg/dL)

−2.3

−5.7

−10.4

0.010

HOMA-IR

−0.2

−0.5

−1.1

0.002

ALT (U/L)

−1.8

−3.4

−6.7

0.010

Systolic BP (mmHg)

−1.5

−3.2

−6.1

0.008

QoL Score (Δ)

+2.1

+4.5

+7.2

0.001

 

Table 3: Comorbidity Resolution at 12 Months

Outcome

Group A

Group B

Group C

p-value

Pre-hypertension resolved (%)

25%

40%

65%

<0.01

Pre-diabetes resolved (%)

22%

38%

60%

<0.01

Elevated ALT normalized (%)

30%

50%

70%

0.003

 

Table 4: Diet and Lifestyle Adherence Scores

Measure

Group A

Group B

Group C

p-value

Mean Diet Adherence (%)

63%

78%

92%

<0.001

Mean Physical Activity Compliance (%)

50%

67%

85%

<0.001

Parental Involvement Index (1–10)

4.5

6.8

8.7

0.002

 Table 5: Adverse Events and Safety Outcomes

Event

Group A

Group B

Group C

Mild GI complaints

2 (5%)

1 (2.5%)

0 (0%)

Missed visits (>2)

6 (15%)

3 (7.5%)

1 (2.5%)

Dropouts

0

0

0

DISCUSSION

This study demonstrates that structured, multidisciplinary nutritional interventions lead to significant and sustained improvements in BMI, metabolic health, and quality of life in pediatric patients with obesity. The most intensive program (Group C), which included nutritional guidance, behavioral therapy, and physical activity, was notably more effective than standard counseling alone.

 

Our findings support the growing body of literature advocating for early, comprehensive, and family-centered intervention in pediatric obesity. Early-life obesity significantly increases the risk of persistent cardiometabolic abnormalities, including insulin resistance, dyslipidemia, hypertension, and non-alcoholic fatty liver disease¹⁻³. The present study confirms this relationship, showing that BMI reductions were closely linked with improvements in HOMA-IR, LDL cholesterol, and ALT levels—markers commonly elevated in metabolically unhealthy obesity⁴˒⁵.

 

The decline in HbA1c and normalization of ALT levels in Group C are particularly significant. Previous studies have shown that even modest weight loss can lead to improved glycemic control and hepatic function in obese children⁶⁻⁸. These findings are consistent with the long-term study by Correa-Burrows et al., which demonstrated normalization of cardiometabolic profiles in young adults who resolved early obesity during childhood¹¹.

 

Psychosocial improvements were also prominent, especially in Group C, reflecting improvements in quality-of-life (QoL) scores. These findings are consistent with evidence that obesity in children can impair emotional wellbeing, social interaction, and mental health⁹˒¹⁰. The structured behavioral support in this group likely contributed to these benefits.

 

Resolution rates of pre-hypertension and pre-diabetes were significantly higher in Group C, reinforcing the importance of early and intensive intervention. This is consistent with findings by Norrman et al. and McPhee et al., who observed that childhood obesity predicts cardiovascular disease and type 2 diabetes in later life¹⁰˒¹².

 

Family engagement was a key component of intervention success. The high levels of parental involvement and adherence in Group C likely contributed to better outcomes. Previous reports also emphasize the importance of family-based behavioral models in treating pediatric obesity¹³˒¹⁴. Behavioral therapy, when integrated with structured nutrition and activity, improves compliance and outcome durability¹⁵.

 

Although pharmacotherapy and bariatric surgery have emerged as options for severe pediatric obesity, particularly among adolescents with comorbidities, our findings demonstrate that non-surgical, lifestyle-based interventions can be effective and sustainable⁸˒¹⁶. This aligns with studies indicating that long-term improvements are possible without invasive procedures, provided multidisciplinary support is available¹⁷.

 

Emerging evidence links obesity pathogenesis to gut microbiome dysbiosis and chronic inflammation. Akagbosu et al. described the influence of gut microbiota on nutrient metabolism and adiposity in children¹³. Additionally, studies have reported that low-grade inflammation contributes to long-term cardiovascular complications in obese youth¹⁸˒¹⁹. Though not evaluated in this study, these biological pathways warrant further investigation as potential mediators of response to intervention.

This study has limitations. It was conducted at a single tertiary care center, which may limit generalizability. Self-reported dietary adherence introduces a potential reporting bias, and the 12-month follow-up may not capture relapse or long-term durability. Nevertheless, the prospective design, well-defined intervention arms, and diverse outcomes strengthen the validity of our conclusions.

 

The findings underscore a critical shift in pediatric obesity management—from a narrow focus on weight reduction to a broader framework encompassing metabolic health, psychosocial support, and long-term cardiovascular risk reduction²⁰-25. Early, multidisciplinary interventions are not only effective but necessary to alter the trajectory of chronic disease risk in this vulnerable population.

CONCLUSION

This prospective study demonstrates that early, structured, and multidisciplinary nutritional interventions significantly improve obesity-related health outcomes in children and adolescents. Group-based strategies involving dietitians, behavioral counselors, and parental engagement yielded the most favorable outcomes in terms of BMI reduction, insulin sensitivity, lipid improvement, and quality-of-life enhancement. Notably, comorbidity resolution—including pre-diabetes, hypertension, and elevated liver enzymes—was most pronounced in the comprehensive intervention group.

 

These findings highlight the clinical importance of shifting pediatric obesity management from weight-centric models to holistic, risk-reduction approaches. The results provide actionable evidence to support implementation of school- and community-based programs that emphasize lifestyle modifications, behavioral reinforcement, and family involvement. Long-term studies are warranted to evaluate the durability of these outcomes into adolescence and adulthood. Future research should also integrate biomarkers such as inflammatory markers and gut microbiota profiles to understand mechanistic pathways of intervention success.

REFERENCES
  1. Marcus C, Danielsson P, Hagman E. Pediatric obesity–Long-term consequences and effect of weight loss. J Intern Med. 2022 Dec;292(6):870-891. doi:10.1111/joim.13547.
  2. Salama M, Balagopal B, Fennoy I, Kumar S. Childhood Obesity, Diabetes, and Cardiovascular Disease Risk. J Clin Endocrinol Metab. 2023 Nov 17;108(12):3051-3066. doi:10.1210/clinem/dgad361.
  3. Lee EB. What is the disease burden from childhood and adolescent obesity?: a narrative review. J Yeungnam Med Sci. 2024 Jul;41(3):150-157. doi:10.12701/jyms.2024.00360.
  4. Chung ST, Krenek A, Magge SN. Childhood Obesity and Cardiovascular Disease Risk. Curr Atheroscler Rep. 2023 Jul;25(7):405-415. doi:10.1007/s11883-023-01111-4.
  5. Genovesi S, Vania A, Caroli M, Orlando A, Lieti G, Parati G, et al. Non-Pharmacological Treatment for Cardiovascular Risk Prevention in Children and Adolescents with Obesity. Nutrients. 2024 Jul 31;16(15):2497. doi:10.3390/nu16152497.
  6. Alqahtani AR, Elahmedi M, Abdurabu HY, Alqahtani S. Ten-Year Outcomes of Children and Adolescents Who Underwent Sleeve Gastrectomy. J Am Coll Surg. 2021 Dec;233(6):657-664. doi:10.1016/j.jamcollsurg.2021.08.678.
  7. Chalklin CG, Ryan Harper EG, Beamish AJ. Metabolic and Bariatric Surgery in Adolescents. Curr Obes Rep. 2021 Jun;10(2):61-69. doi:10.1007/s13679-021-00423-3.
  8. Nicolucci A, Maffeis C. The adolescent with obesity: what perspectives for treatment? Ital J Pediatr. 2022 Jan 15;48(1):9. doi:10.1186/s13052-022-01205-w.
  9. Menendez A, Wanczyk H, Walker J, Zhou B, Santos M, Finck C. Obesity and Adipose Tissue Dysfunction: From Pediatrics to Adults. Genes (Basel). 2022 Oct 15;13(10):1866. doi:10.3390/genes13101866.
  10. Norrman E, Petzold M, Gissler M, Spangmose AL, Opdahl S, Henningsen AK, et al. Cardiovascular disease, obesity, and type 2 diabetes in children born after assisted reproductive technology. PLoS Med. 2021 Sep 7;18(9):e1003723. doi:10.1371/journal.pmed.1003723.
  11. Correa-Burrows P, Rogan J, Blanco E, East P, Lozoff B, Gahagan S, et al. Resolving early obesity leads to a cardiometabolic profile within normal ranges at 23 years old. Sci Rep. 2021 Sep 23;11(1):18927. doi:10.1038/s41598-021-97683-9.
  12. Drozdz D, Alvarez-Pitti J, Wójcik M, Borghi C, Gabbianelli R, Mazur A, et al. Obesity and Cardiometabolic Risk Factors: From Childhood to Adulthood. Nutrients. 2021 Nov 22;13(11):4176. doi:10.3390/nu13114176.
  13. Akagbosu CO, Nadler EP, Levy S, Hourigan SK. The Role of the Gut Microbiome in Pediatric Obesity and Bariatric Surgery. Int J Mol Sci. 2022 Dec 6;23(23):15421. doi:10.3390/ijms232315421.
  14. Pastor-Fajardo MT, Fajardo-Giménez MT, Bosch-Giménez VM, Pastor-Rosado J. Changes in the prevalence of obesity and treatment in children with type 1 diabetes: 1986–2018. BMC Pediatr. 2022 May 12;22(1):274. doi:10.1186/s12887-022-03330-1.
  15. Kostopoulou E, Tikka M, Rojas Gil AP, Partsalaki I, Spiliotis BE. Glucose tolerance and insulin sensitivity markers in children and adolescents with excess weight. Eur Rev Med Pharmacol Sci. 2021 Oct;25(19):5986-5992. doi:10.26355/eurrev_202110_26876.
  16. Lund MAV, Thostrup AH, Frithioff-Bøjsøe C, Lausten-Thomsen U, Hedley PL, Pedersen O, et al. Low-grade inflammation associates with cardiometabolic risk in children with obesity. Nutr Metab Cardiovasc Dis. 2020 Aug 28;30(9):1544-1553. doi:10.1016/j.numecd.2020.04.024.
  17. Delvecchio M, Pastore C, Valente F, Giordano P. Cardiovascular Implications in Idiopathic and Syndromic Obesity in Childhood. Front Endocrinol (Lausanne). 2020 Jun 9;11:330. doi:10.3389/fendo.2020.00330.
  18. March CA, Becker DJ, Libman IM. Nutrition and Obesity in the Pathogenesis of Youth-Onset Type 1 Diabetes. Front Endocrinol (Lausanne). 2021 Mar 22;12:622901. doi:10.3389/fendo.2021.622901.
  19. Grabia M, Markiewicz-Żukowska R, Socha K. Prevalence of Metabolic Syndrome in Children with Type 1 Diabetes Mellitus. Nutrients. 2021 May 23;13(6):1782. doi:10.3390/nu13061782.
  20. Di Sessa A. The global syndemic of obesity and type 2 diabetes in childhood. Front Pediatr. 2024 Jul 10;12:1445172. doi:10.3389/fped.2024.1445172.
  21. Syed AK, Godavarthy DS, Kumar KK, Poosarla CS, Reddy GS, Reddy BV. Estimation of salivary superoxide dismutase, glutathione peroxidase, catalase in individuals with and without tobacco habits. J NTR Univ Health Sci. 2021;10:27–32.
  22. Syed AK, Dutta SD, Kanani R. Preventive strategies and education. In: Tiwari RD, editor. Emergency Management in Maxillofacial Trauma. 1st ed. Amritsar (India): Dentomed Publishing House; 2024. p. 225–240.
  23. Krishnappa M, Tiwari RVC, Tiwari HD, Syed AK, Mahajan A, Sharma K. Study of correlation between hand washing practice and gastroenteritis in rural students – An original research. J Adv Med Dent Scie Res. 2022;10(11):10–3.
  24. Manek P, Anand R, Sharma S, Patel K. Microbial Changes and Dental Caries Risk in Children with Orthodontic Appliances. Journal of Pharmacy and Bioallied Sciences. 2024;16(Suppl 2):S1234–S1239. doi: 10.4103/jpbs.jpbs_1089_23.
  25. Manek P, Patel R, Gupta S. Analysis of Microbiological Profiles of Indian Patients with Peri-implantitis and Periodontitis. Bioinformation. 2024;20(3):345–352. doi: 10.6026/973206300200345.

 

 

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