Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Case Report
Clinical Images
Research Article
Review Article
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Case Report
Clinical Images
Research Article
Review Article
View/Download PDF

Translate this page into:

Research Article
2025
:4;
100563
doi:
10.1016/j.jorep.2025.100563

Impact of obesity on Pediatric Lower Limb Fractures and treatment outcomes: A retrospective cross-sectional study from a tertiary hospital in Northeastern Iran

Orthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran
Department of Orthopedic Surgery, School of Medicine, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
Department of Orthopedics, School of Medicine Imam Reza Hospital, Mashhad University of Medical Sciences Mashhad, Iran
Department of Orthopaedics Surgery, Shiraz University of Medical Science, Shiraz, Iran
Department of Radiology, Shiraz University of Medical Sciences, Zand Street, Shiraz, Iran
Department of Orthopedic and Trauma Surgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
American Hip Institute, Chicago, USA b: Orthopedics Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran
Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

⁎Corresponding author: Mohammad Ghorbani. m.ghorbani96@gmail.com

Disclaimer:
This article was originally published by Reed Elsevier India Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Abstract

This study aims to evaluate the obesity impact on lower limb fracture patterns and complications in children.

The study included patients aged 1–14 years who visited emergency room or orthopedic clinic between 2012 and 2016. Demographic information, medical records, and procedures were analyzed. The diagnosis was based on age, Body Mass Index (BMI), gender, weight, height, type of trauma, and lower limb injuries. Data from physical examinations, imaging, treatment methods, surgery duration, complications, hospital stay, and recovery time were collected. Patients were categorized as underweight, normal weight, overweight, or obese based on BMI percentiles according to World Health Organization classifications, with gender-specific weight percentiles applied.

The study included 247 pediatric patients, comprising 178 boys and 69 girls. The patients' ages ranged from 13.4 to 161.7 months, with an average BMI of 17.45 ± 2.30 kg/m2. Among the participants, 8.5 % were underweight, 47.8 % were normal weight, 25.5 % were overweight, and 18.2 % were obese. The most common fracture sites were the femur (38.1 %), leg (32.4 %), and foot (17 %). The mean hospitalization duration was 8.04 ± 4.89 days. Complications were documented in 11 cases, with malunion occurring predominantly in the overweight and obese groups. Statistically significant differences in age and hospitalization duration were observed across the weight categories (p < 0.05). Furthermore, a strong positive correlation was identified between BMI and length of hospital stay (correlation coefficient = 0.728; p < 0.001).

The study revealed that BMI did not significantly affect the distribution of fractures, patient status, or mode of admission. However, it had a notable impact on outcomes and clinical findings. Overweight and obese patients experienced longer hospital stays and a higher incidence of complications, with malunion being the most frequently observed issue.

Keywords

Lower limb fracture
Obesity
BMI
Children
Complications
1

1 Introduction

The obesity rate in the US and globally, particularly among children aged 6–19, has tripled since the 1970s.1,2 Obesity, through metabolic syndrome, causes dysregulation of the endocrine axis and alters bone physiology through various pathways.3 The primary contributors include increased inflammatory cytokines, insulin resistance, altered leptin production, and vitamin D deficiency.4 Central obesity induces insulin resistance, which impairs the function of osteoblasts and osteoclasts by affecting leptin concentrations.3,5 Increased leptin levels reduce bone growth and speed up bone resorption.6 Additionally, abdominal obesity increases systemic inflammation and pro-inflammatory cytokines, contributing to osteoporosis.7 Leptin receptors in skeletal growth centers act as skeletal growth factors, leading obese adolescents to grow taller and reach their full height at younger ages.7

Obesity influences the pattern and severity of orthopedic injuries.8 Children with high BMI are more prone to distal lower limb fractures compared to upper limb fractures.2,9 Furthermore, complex fracture patterns, nerve palsies, and postoperative complications—especially in cases of supracondylar humeral fractures—are more common in obese children.10 Obesity also poses challenges in fracture care, as traditional casting depends on the cast's ability to stabilize the injured bone. Studies have shown that obese children are at greater risk for fracture displacement following cast treatment, leading to an increased need for re-reduction in cases such as distal radius fractures.11–13

Considering the increasing incidence of childhood obesity and evidence linking obesity to unique injury patterns and more severe trauma outcomes, this study aims to investigate the relationship between weight and injury patterns, as well as the morbidity and mortality rates of lower limb fractures in two groups: obese children and children with normal weight.

2

2 Material and methods

This retrospective, cross-sectional study examined all patients aged 1–18 years who visited the emergency department or orthopedic clinic of our tertiary Hospital between 2014 and 2016. Demographic information, summaries of medical records, and therapeutic procedures performed were analyzed. The inclusion and exclusion criteria were as follows.

2.1

2.1 Inclusion criteria

-All patients aged 1–18 years visited the emergency room or orthopedic clinic between 2014 and 2016.

2.2

2.2 Exclusion criteria

-Patients with medical histories involve abnormal factors such as injury or child abuse.-Patients with fractures are not limited to the lower limbs.-Patients with incomplete medical histories or multiple types of injuries simultaneously, aside from fractures.-Cases deemed inconsistent with the ethical committee's guidelines.

Diagnosis was based on patient information, including age, gender, height, weight, BMI, type of trauma, and type of lower limb injury.

To evaluate outcomes, the following data were extracted from patients' files using a checklist.-Results of physical examinations and imaging.-The treatment method chosen by the physician.-Duration and type of surgery, if performed.-Postoperative complications.-Length of hospital stay.-Time required for complete recovery.

2.3

2.3 Statistical analysis

All collected data were analyzed using SPSS software, version 20. Descriptive statistics encompassed the calculation of percentages and frequency for qualitative data, as well as mean and standard deviation.

To examine the effect of BMI on fracture complications and outcomes, patients were divided into four BMI groups.-Underweight: BMI percentile ≤5 %.-Normal Weight: BMI percentile >5 % and ≤85 %.-Overweight: BMI percentile >85 % and ≤95 %.-Obese: BMI percentile >95 %.

Comparisons of outcomes and complications among the four BMI groups were performed using the chi-square test or Fisher's exact test, as appropriate. For quantitative data, analysis of variance (ANOVA) was applied. A p-value of less than 0.05 was considered statistically significant.

2.4

2.4 Ethical observations

During the case reviews, confidentiality and other ethical principles were strictly upheld. The examination of cases was conducted with written approval from the university's ethics committee. All stages of this study adhered to the ethical principles outlined in the Helsinki Declaration and were approved by the Ethics Committee. This research was formally presented on September 01, 2016 to the Mashhad University of Medical Sciences Faculty/Region's organizational ethics committee with the following title: "Investigating the Effect of Obesity on the Treatment Approach and Management of Lower Limb Fractures in Children". It was subsequently approved with the ethical code IR. MUMS.REC.1395.134.

3

3 Results

A total of 247 patients were included in the study, comprising 178 males (72.1 %) and 69 females (27.9 %). The average age of the participants was 68.01 ± 38.91 months, with a range from 13.4 months to 161.7 months consists of 94 (38.1 %) toddler (age between 1 and 4 years), 62 (25.1 %) preschool (4–7 years), and 91 (36.8 %) school age (7–13 years). The anthropometric data of the patients are as follows: height is 106.33 ± 17.19 cm, and weight is 68.01 ± 38.91 kg. The mean BMI of the patients was 17.45 ± 2.30 kg/m2, with BMI percentile of 65.28 ± 31.96 %, ranging from 1.0 to 99.9 percent.

As depicted in the bar chart (Fig. 1), the BMI classifications were as follows.-Underweight: 21 patients (8.5 %)-Normal weight: 118 patients (47.8 %)-Overweight: 63 patients (25.5 %)-Obese: 45 patients (18.2 %)

Bar chart of BMI categories.
Fig. 1 Bar chart of BMI categories.

Table 1 and Fig. 2 illustrate the distribution of fractures across different regions of the lower limbs. The frequencies were as follows.-Femur fractures: 94 cases (38.1 %)-Tibia fractures: 80 cases (32.4 %)-Foot fractures: 42 cases (17 %)-Pelvic fractures: 18 cases (7.3 %)-Knee fractures: 8 cases (3.2 %)-Ankle fractures: 5 cases (2 %)

Table 1 Frequency and percentage of fracture sites.
Fracture zone Frequency Percentage
Pelvic 18 7.3
Femur 94 38.1
Proximal femur 26 10.5
Femur shaft 26 10.5
Distal femur 41 16.6
Leg 80 32.4
Tibia 37 15
Fibula 31 12.6
Both 12 4.9
Knee 8 3.2
Foot 42 17
Ankle 5 2
Bar chart of facture sites according to BMI categories.
Fig. 2 Bar chart of facture sites according to BMI categories.

The average length of hospital stay was 8.04 ± 4.89 days. Table 2 summarizes the frequency and percentage of referral types, discharge statuses, and complications. Adverse effects were observed in 11 patients, with detailed information provided in Table 2.

Table 2 Frequency of type of referral, discharge status and complications.
Frequency Percentage
Type of referral Emergency 176 71.3
Outpatient 67 27.1
Accident 4 1.6
Discharge status Partial recovery 213 86.2
Complete recovery 20 8.1
Self-discharge 14 5.7
Complications Malunion/malalignment 7 2.8
Pin migration 1 0.4
Infection 1 0.4
Nerve injury 4 1.6

Table 3 compares gender, fracture location, type of referral, and discharge status among the four BMI groups. A statistically significant difference was observed only in the complications section, where 11 out of 13 cases (84.61 %) occurred in the overweight and obese groups. The majority of malunion cases were also found in these groups, and these differences were statistically significant.

Table 3 Comparison of gender, fracture site, type of referral and discharge status among four BMI groups.
Underweight (%) Normal (%) Overweight (%) Obese (%) P value
Gender Male 14 (66.7) 90 (76.3) 43 (68.3) 31 (68.9) 0.568
Female 7 (33.3) 28 (23.7) 20 (31.7) 14 (31.1)
Fracture site Femur 9 (42.9) 43 (36.4) 22 (34.9) 20 (44.4) 0.994
Leg 7 (33.3) 41 (34.7) 21 (33.3) 11 (24.4)
Knee 1 (4.8) 3 (2.5) 2 (3.2) 2 (4.4)
Foot 2 (9.5) 20 (16.9) 13 (20.6) 7 (15.6)
Ankle 0 (0) 3 (2.5) 1 (1.6) 1 (2.2)
Pelvic 2 (9.5) 8 (6.8) 4 (6.3) 4 (8.9)
Type of referral Emergency 18 (85.7) 85 (72) 44 (69.8) 29 (64.4) 0.359
Outpatient 2 (9.5) 31 (26.3) 18 (28.6) 16 (35.6)
Accident 1 (4.8) 2 (1.7) 1 (1.6) 0 (0)
Discharge status Partial recovery 18 (85.7) 105 (89) 55 (84.1) 37 (82.2) 0.745
Complete recovery 2 (9.5) 6 (5.1) 6 (9.5) 6 (13.3)
Self-discharge 1 (4.8) 7 (5.9) 4 (6.3) 2 (4.4)
Complications Malunion/malalignment 1 (4.8) 1 (0.8) 0 (0) 5 (11.1) 0.002
Pin migration 0 (0) 0 (0) 1 (1.6) 0 (0) 0.402
Infection 0 (0) 0 (0) 0 (0) 1 (2.2) 0.212
Nerve injury 0 (0) 0 (0) 2 (3.2) 2 (4.4) 0.139

Table 4 presents a comparison of age and length of hospital stay across the four BMI groups. Significant differences were noted for both age (p = 0.046) and length of stay (p < 0.001). Additionally, a Pearson correlation test revealed a significant positive correlation between BMI and the length of hospital stay (correlation coefficient = 0.728; p < 0.001).

Table 4 Comparison of age and hospitalization duration among four BMI groups.
Underweight Normal Overweight Obese P value
Age (years) (Mean ± SD) 5.07 ± 3.30 5.83 ± 3.14 6.29 ± 3.24 4.63 ± 2.64 0.046
Hospitalization length (days) (Mean ± SD) 4.33 ± 1.27 4.42 ± 2.25 11.88 ± 3.27 13.91 ± 2.54 <0.001
4

4 Discussion

Our research aimed to evaluate the impact of a child's BMI on the progression of lower limb fractures. The findings revealed no significant differences in the incidence of fractures across different body regions among the BMI categories. However, tibial fractures were less frequent in the obese group compared to others. This trend may be attributed to the greater amount of adipose tissue surrounding the calves in obese individuals, which could offer some protective effect. Aside from these observations, there were no statistically significant differences between BMI groups regarding discharge status or the mode of admission (emergency vs. outpatient). Nonetheless, the overweight and obese groups exhibited a markedly higher prevalence of complications and longer hospital stays compared to other BMI groups. Among these complications, malunion was the most reported issue.

A study conducted over a 10-year period and published in 2022 by Heath et al.14 analyzed the time to union in fractures among obese and non-obese children. The study included 147 children with an average age of 11.8 years. Of these, 5 children (3.4 %) were underweighted, 28 (19 %) were obese, 33 (22.4 %) were overweight, and 81 (55.1 %) had a normal weight. The findings revealed that children with a higher BMI experienced significantly longer times to union after fractures compared to children with lower BMI. Similarly, our study indicated that malunion issues were notably more prevalent among obese children.

In another study conducted by McGregor et al.15 in 2022, 215 children aged 2–18 years with tibial fractures were evaluated. The average age of participants was 10 years, with boys comprising 67.4 % of the sample. Regarding BMI distribution, 6.5 % of the children were underweight, 45.6 % had normal weight, 16.7 % were overweight, and 31.2 % were obese. The findings of McGregor et al. did not demonstrate significant differences in surgical treatment rates, recurrence of fracture reduction, post-treatment complications, or the need for physical therapy between the obese/overweight group and the underweight/normal weight group. These results differ from our findings, where complications were significantly more frequent in the overweight and obese groups. One possible reason for this discrepancy may be that our study examined all lower limb fractures, while the study by McGregor et al. focused specifically on tibial fractures.15

In a 2019 study, Li et al.16,17 examined the impact of BMI on the outcomes of fractures in the upper and lower extremities. Their extensive study included 202,286 children admitted to the hospital with upper or lower limb fractures. The findings highlighted a link between obesity and the need for open reduction procedures. Moreover, obese patients had significantly longer hospital stays and incurred higher healthcare costs compared to non-obese patients. Additionally, age was identified as another significant factor, with the severity and complexity of complications increasing as the child aged. The study also examined the broader consequences of the disease, including infections, nerve and vessel damage, and other complications. Their findings showed that obese children had a markedly higher rate of postoperative complications compared to the general population. Our study aligns with the results of Li et al. study,16,17 as we also observed that patients with higher BMI experienced significantly longer hospital stays and more complications.

In 2016, Burrus et al.18 conducted a study evaluating 14,638 children with tibial shaft fractures. Among these patients, 820 (5.6 %) were morbidly obese, and 1091 (7.4 %) were obese. The findings indicated that obese and morbidly obese patients experienced a significantly higher incidence of complications compared to other patients. These complications included infection, nonunion, thrombosis, and surgical implant removal. The results of our study align with these findings, as we observed that overweight and obese patients had a significantly higher incidence of complications such as malunion compared to other groups.

The impact of obesity on pediatric fractures extends beyond mechanical pressure on the fracture site. While tension at the fracture site may lead to displacement of the union line and issues with internal implant movement, biological factors also play a role. Research on upper limb fracture nonunion has demonstrated that obesity can activate inflammatory pathways, which restrict proper tissue regeneration. This suggests that obesity may biologically influence the healing process in pediatric limb fractures.19

The findings of this study have dual applicability. From a research perspective, they contribute to understanding the role of BMI in bone fractures and provide a methodological framework for future studies. From a clinical perspective, these results, alongside other research, can assist orthopedic specialists in managing fractures in overweight and obese children. It is evident that orthopedic surgeons should implement additional measures when treating these patients to mitigate the risk of complications following fracture treatment.

Our study has several limitations. Firstly, although the sample size was adequate, we were unable to include a larger number of patients due to resource constraints. Additionally, while obesity may contribute to upper limb fractures through factors other than mechanical stress, our investigation was limited to lower limb fractures. However, one of the strengths of our study is that it is one of the few focusing on this topic, particularly among the Iranian population. To strengthen the findings, future research with a larger sample size and consideration of upper limb fractures in diverse demographics is recommended.

5

5 Conclusion

The results of our study demonstrated that although BMI did not influence the distribution of fractures across different body regions, the patient's condition at discharge, or the method of admission, it was significantly associated with outcomes and results. Specifically, the rate of complications and the duration of hospitalization were notably higher in the obese and overweight groups compared to the other BMI groups. Among these complications, malunion was particularly prominent. Our study was limited to cases of lower limb fractures, and further research examining upper limb fractures is recommended.

CRediT authorship contribution statement

Mohammad Ghorbani: All authors had full access to the data in the study and took responsibility for the integrity of the data and the accuracy of the data analysis. Morteza Behjat: Methodology, Writing – review & editing. Mohammad Hallaj Moghaddam: Conceptualization, Writing – review & editing, Supervision. Sajjad Abrishami Moghaddam: Formal analysis, Visualization. Saeid Esmaeilian: Investigation, Formal analysis, Writing – original draft. Seyed Ali Moshtaghioon: Formal analysis, Writing – original draft. Ali Parsa: Conceptualization, Methodology, Resources, Writing – original draft, Writing – review & editing, Supervision. Elham Rahmanipour: Methodology, Writing – original draft.

Declaration of ethical approval for study

In the review of the cases, confidentiality and other ethical principles were upheld, and the examination of the cases was conducted with written permission from the university's ethics committee. All stages of this study were conducted in accordance with the Helsinki ethical principles and have been approved by the Ethics Committee of Mashhad University of Medical Sciences. This research was presented on September 01, 2016 to the organizational ethics committee of the Mashhad University of Medical Sciences under the title " The Effect of Obesity on Pediatric Lower Limb Fractures and Their Treatment Outcomes" and was approved with the code IR. MUMS.REC.1395.134.

Declaration of informed consent

There is no information (names, initials, hospital identification numbers, or photographs) in the submitted manuscript that can be used to identify patients.

Authorship declaration

All authors listed meet the authorship criteria according to the latest guidelines of the International Committee of Medical Journal Editors.

Data availability

The data supporting this study's findings are available upon reasonable request from the corresponding author.

Funding

No sources funded this research.

References

  1. , , , . Acute care costs in overweight children: a pediatric urban cohort study. Child Obes. 2013;9(4):338-345.
    [Google Scholar]
  2. , , , , , , . Childhood obesity: a risk factor for injuries observed at a level-1 trauma center. J Pediatr Surg. 2009;44(8):1601-1605.
    [Google Scholar]
  3. , , , , , . Do metabolic syndrome and its components have an impact on bone mineral density in adolescents? Nutr Metab. 2017;14:1.
    [Google Scholar]
  4. , , , . Prevalence of vitamin D deficiency among overweight and obese US children. Pediatrics. 2013;131(1):e152-e161.
    [Google Scholar]
  5. , . Childhood obesity, bone development, and cardiometabolic risk factors. Mol Cell Endocrinol. 2015;410:52-63.
    [Google Scholar]
  6. , , . Effects of obesity on pediatric fracture care and management. J Bone Joint Surg Am. 2012;94(9):855-861.
    [Google Scholar]
  7. , , . Putative effects of obesity on linear growth and puberty horm. Res Paediatr. 2017;88(1):101-110.
    [Google Scholar]
  8. , , , , , , . Operative management of acetabulum fractures in the obese patient: challenges and solutions. Orthop Res Rev. 2017;9:75-81.
    [Google Scholar]
  9. , , , . Injury patterns in obese versus nonobese children presenting to a pediatric emergency department. Pediatrics. 2010;125(4):681-685.
    [Google Scholar]
  10. , . Open reduction and fixation of late-presenting pediatric supracondylar humeral fractures: a prospective study. Orthop Res Rev. 2024;16:221-231.
    [Google Scholar]
  11. , , , , , . Childhood obesity increases the risk of failure in the treatment of distal forearm fractures. J Pediatr Orthop. 2016;36(8):e86-e88.
    [Google Scholar]
  12. , , , . Obesity increases risk of loss of reduction after casting for diaphyseal fractures of the radius and ulna in children: an observational cohort study. J Orthop Trauma. 2018;32(2):e46-e51.
    [Google Scholar]
  13. , , , . Obesity and failure of nonsurgical management of pediatric both-bone forearm fractures. J Hand Surg Am. 2017;42(9):711-716.
    [Google Scholar]
  14. , , , , , , . Obesity increases time to union in surgically treated pediatric fracture patients. J Am Acad Orthop Surg Glob Res Rev. 2022;6(1)
    [Google Scholar]
  15. , , , , , , . The effect of obesity on pediatric Tibia fractures. Iowa Orthop J. 2022;42(1):41-46.
    [Google Scholar]
  16. , , , , , . The Influence of Obesity on the Operative and Non-operative Management of Pediatric Extremity Fractures. 2019
    [Google Scholar]
  17. , , , , , , . Impact of obesity on operative treatment and inpatient outcomes of paediatric limb fractures. Bone Joint Lett J. 2019;101-b(4):491-496.
    [Google Scholar]
  18. , , , . Obesity is associated with increased postoperative complications after operative management of tibial shaft fractures. Injury. 2016;47(2):465-470.
    [Google Scholar]
  19. , , , . Risk factors, treatment, and outcomes associated with nonunion of the midshaft humerus fracture. J Surg Orthop Adv. 2005;14(2):64-72.
    [Google Scholar]
Show Sections