==== Front Ann Saudi MedAnn Saudi MedAnnals of Saudi Medicine0256-49470975-4466King Faisal Specialist Hospital and Research Centre 2922988810.5144/0256-4947.2017.415asm-6-415Original ArticleThe association between body mass index and frequency of emergency department visits and hospitalization for asthma exacerbation in a pediatric population Alhekail Ghadah Abdulrahman aAlthubaiti Alaa aAlQueflie Sulaiman ab a College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia b Department of Pediatrics, King Abdullah Specialized Children’s Hospital, Riyadh, Saudi ArabiaCorrespondence: Dr. Ghadah Abdulrahman Alhekail, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, PO Box 3660, Riyadh 11426, Saudi Arabia, T: +966502451666, ghadahalhekail@gmail.com, ORCID: http://orcid.org/0000-0003-0571-6457Nov-Dec 2017 37 6 415 419 Copyright © 2017, Annals of Saudi Medicine2017This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.BACKGROUND The prevalence of both asthma and obesity are increasing. Although some studies suggest an association between body mass index (BMI) and frequency of emergency department (ED) visits and hospitalization for asthma exacerbation, any association remains unproven. OBJECTIVE Estimate the frequency of asthma exacerbation in obese children, and identify any relationship between BMI and frequency of ED visits and hospitalization for asthma exacerbation. DESIGN Retrospective review of medical records. SETTINGS Tertiary children’s hospital, Riyadh. SUBJECTS AND METHODS All children aged 2–15 years who attended the ED for asthma exacerbation between January 2015 and January 2016 were included. Children with comorbidities or undocumented asthma were excluded. The Centers for Disease Control and Prevention BMI-for-age growth charts for boys and girls aged 2 to 20 years were used to classify underweight, normal, overweight, and obese. MAIN OUTCOME MEASURES The frequency of ED visits and the rate, frequency, and duration of hospitalization. RESULTS Of the 1000 cases reviewed, 64.6% were boys and the mean age (standard deviation) of all subjects was 5.6 (3.3) years. The proportions of overweight and obese children was 11.8% and 12.1%, respectively. There was no association between increased BMI and frequency of ED visits for asthma exacerbation (P=.84), duration of hospitalization (P=.41) or frequency of hospitalization (P=.89). CONCLUSION There was no evidence of an association between BMI and frequency of ED visits and hospitalization for asthma exacerbation among children. LIMITATIONS This study included patients as young as 2 years, while asthma is only well-defined in children >5 years. Asthma triggers that can cause exacerbation despite body weight were not included. We included only frequency of ED visits and hospitalization, which may be inadequate to measure asthma severity. ==== Body Childhood obesity is a global health problem. In developed countries, 23.8% of boys and 22.6% of girls were either overweight or obese in 2013, and in developing countries, 12.9% for boys and 13.4% for girls in 2013 were either overweight or obese.1 Likewise, the prevalence of childhood obesity is increasing in Saudi Arabia. A study showed that the prevalence of overweight, obesity, and severe obesity in children and adolescents from 5 to 18 years of age is 23.1%, 9.3%, and 2%, respectively.2 Obesity is a major risk factor for several health diseases, such as type 2 diabetes mellitus, hypertension, and abnormal blood lipids. It also increases the risk of certain malignancies, such as endometrial, breast, and colonic carcinoma.3 Asthma is a chronic airway disease characterized by inflammation of the airway, bronchospasm, and hypersensitivity to various stimuli. It is estimated that the lifetime prevalence of patient-reported clinician-diagnosed asthma in United Kingdom is 15.6%.4 In Saudi Arabia, the prevalence of asthma in the general population is 4.05%.5 Among schoolchildren between the ages of 8 and 16 years, it reaches 23%.6 Different studies suggest an association between asthma and increased BMI. Nahhas et al found that obesity is a risk factor for developing asthma in Saudi Arabia.7 Some studies suggest that obesity is associated with poor asthma outcome and control.8,9 However, the association between body mass index (BMI) and the frequency of emergency department (ED) visits for asthma exacerbation and hospitalization has not been studied in our population. Therefore, our study aimed to estimate the frequency of asthma exacerbation in pediatric patients of all BMI categories, and to identify the relationship between BMI and the frequency of ED visits and hospitalization for asthma exacerbation. SUBJECTS AND METHODS We retrospectively studied children who came to the ED for asthma exacerbation. The study included all children aged 2–15 for the 12-month period from January 2015 to January 2016 at King Abdullah S pecialist Children’s Hospital, Riyadh, Saudi Arabia. Children with an undocumented diagnosis of bronchial asthma at presentation and children with comorbidities or genetic disorders were excluded. The approval of the Institutional Review Board was obtained from King Abdullah International Medical Research Center, Riyadh, Saudi Arabia. We collected demographic data (gender, age, height, and weight), frequency of ED visits, frequency of hospitalization, and total days of hospitalization after the age of 2 years. Heights and weights were used to calculate BMI by the following formula: BMI=weight divided by height squared (kg/ m2). Subsequently, Centers for Disease Control and Prevention BMI-for-age growth charts for boys and girls aged 2 to 20 years were used to classify underweight, normal, overweight, or obese. Children below the 5th percentile were considered underweight, children from the 5th percentile to less than the 85th percentile were considered normal weight, children from the 85th to less than the 95th percentile were considered overweight, and children in the 95th percentile were considered obese. Collected data were entered into an Excel spreadsheet (Microsoft Office Excel 2011). IBM SPSS version 24.0 (IBM Corporation, Armonk, NY, USA) was used for data analysis. Frequencies and percentages were used to describe categorical variables while mean (standard deviation) was used for continuous variables. Age was categorized as “Toddlers (2–3 years)”, “Pre-school (>4–5)”, “School (>6–12)” or “Teens (>13–15)”. ED visits were categorized as “Once”, “Twice”, “3 times”, “4–5 times”, “6–8 times” or “>8”. Hospitalization was categorized as “None”, “One day” or “More than one day”. Frequency of hospitalization was categorized as either “Once” or “Twice or more”. A chi-square test of association was used to determine the associations between BMI categories and frequency of ED visits, age groups, hospitalization duration and frequency of hospitalization. If differences were found, ANOVA followed by post hoc analysis was used to detect the differences within the groups. The Spearman’s rank correlation coefficient or Spearman’s rho was used to evaluate the association between BMI and frequency of ED visits and the association between BMI and hospitalization. All tests were considered statistically significant whenever P value ≤.05 RESULTS Of 1302 patients, 1000 (77%) met the inclusion criteria. The mean (SD) age of the patients was 5.6 (3.3) years. The majority of the patients were male (64.6%, n=646) (Table 1). The mean (SD) of BMI was 17.1 (6.4) mg/kg2. There was no significant difference in the frequency of ED visits for the different BMI groups (P=.84) (Table 2). The age groups were significantly (P<.001) different by BMI category (Table 3). Using ANOVA and post hoc analysis, no difference was found in age between those with normal or underweight BMI, but significant differences were found between overweight versus normal and underweight, obese versus overweight, and obese versus normal and underweight. However, there was no significant difference between BMI categories in duration (P=.41) and frequency of hospitalization (P= .894). The correlation between ED visits and BMI (correlation coefficient =−0.014, P=.662), and for BMI and hospitalization (correlation coefficient=0.011, P=.740) was not statistically significant. DISCUSSION Our study showed that the prevalence of overweight-obese children who presented to ED for asthma exacerbation was 24.1%. In a study conducted in the Philippines, 49% of patients who came to the ED with acute asthma exacerbation were overweight or obese.10 In Carroll et al study, 22% of ED visits for asthma were overweight patients which is similar to our study.11 In comparison, 70.8% of asthmatic adults who attended the pulmonary primary care clinic of King Khalid University Hospital were overweight-obese, 12 which was significantly higher than in our study. Overweight-obese children may be more likely to have persistent symptoms of asthma until adulthood, or asthmatic patients may be less likely to engage in physical activities to avoid triggering asthma. The frequency of ED visits and hospitalization are important factors to determine the severity of asthma. ED visits affect the quality of life and health care utilization and are suggestive of poor asthma control. The impact of BMI on ED visits and hospitalization for asthma exacerbation has been controversial. Some studies suggest an association while others failed to find any association.11,13–15 Our findings demonstrated no association between BMI and frequency of ED visits for asthma exacerbation. A recent meta-analysis of 46 070 asthmatic children showed no significant association between overweight/obesity and ED visits, which supports our finding.15 However, some studies have argued that increased BMI is associated with more unscheduled ED visits.16,17 Belamarich et al interviewed caregivers for 1322 children aged 4 to 9 years who presented to ED for asthma exacerbation. Belamarich et al interviewed the caregivers of 1322 children aged 4–9 years who presented to the ED for asthma to determine whether obesity is associated with decreased peak expiratory flow rates, increased asthma symptoms, and increased health service use.16 ED visits was one of the factors to determine the use of the health service. The data showed that obese children had more unscheduled ED visits. There are several explanations for the differences between Belamarich et al and our study. Belamarich et al included children aged 4 to 9 years. Our study included children aged 2 to 15 and was conducted in Riyadh, Saudi Arabia. On the other hand, Belamarich et al study was conducted in the United States (Bronx, NY; East Harlem, NY; St Louis, MO; Washington, DC; Baltimore, MD; Chicago, IL; Cleveland, OH; and Detroit, MI). The differences in climate and environmental factors can play a role in asthma exacerbation that can yield different results.18,19 Belamarich et al compared normal weight and obese children only, excluding underweight children. Also, normal weight was considered between the 5th and 95th percentile but in our study normal weight was considered between 5th percentile and less than 85th percentile. In the Belamarich et al study, there may have been caregiver bias to over-report symptoms in obese patients, which may have affected the accuracy of results. Our study also showed no association between BMI and frequency and duration of hospitalization. A meta-analysis by Ahmadizar showed no significant association between obesity and hospitalization.15 However, Carroll et al found that overweight children were more likely to be admitted to the hospital than normal weight children.11 In our study, we used BMI-for-age percentile growth charts. We calculated the BMI based on height and weight whereas Carroll et al used a weight-for-age percentile growth chart. They did not calculate BMI because of retrospective height data loss. Moreover, the ethnicities of the participants of the study by Carroll et al were Hispanic, black and white versus in contrast to the Saudi Arabian population examined in this study.11 Borrell et al demonstrated that the relationship between BMI and asthma control could vary by race/ethnicity.20 Different measurements and patient characteristics can yield different results. Weight loss programs may improve asthma control, but there is inadequate evidence to support this hypothesis. Although a systematic review showed that weight loss could improve asthma control, most randomized control trials in this systematic review had small sample sizes. Further well-designed studies are needed to determine the impact of weight loss on asthma control.21 Our study has several limitations. First, there was lack of information about other factors that can indicate the severity of asthma between different BMI groups, such as lung function tests, types and doses of medications used, ICU admissions, and the frequency of daytime and night-time symptoms. Second, asthma is usually diagnosed in children >5 years. In our study, we included children as young as 2 years. Our study mainly depended on physician-diagnosed asthma. However, physicians can misdiagnose asthma. A study in Canada found that approximately one-third of obese and non-obese patients with physician-diagnosed asthma did not have asthma.22 Misdiagnosis could have impacted our results. Information about triggers, such as environmental triggers and physical activity were not included in our data. Those triggers can contribute to asthma exacerbation regardless of the BMI. Our study suggests that BMI is not a predictor for more frequent ED visits for asthma exacerbation and hospitalization. However, further studies should be attempted in multiple cities in Saudi Arabia to confirm this finding. Acknowledgment The authors gratefully acknowledge Dr. Abdullah Almojali for his contribution in data analysis. The authors also thank KAIMRC Publication Office for editing the manuscript. Conflict of interest None. Table 1 Baseline characteristics of the patients (N=1000). Characteristics Levels N % Gender Male 646 64.6 Female 354 35.4 Age groups Toddlers (2–3) 387 38.7 Pre-school (>4–5) 208 20.8 School (>6–12) 353 35.3 Teens (>13–15) 52 5.2 BMI Underweight 223 22.4 Normal 533 53.6 Overweight 118 11.9 Obese 121 12.2 ED visits Once 418 41.8 Twice 237 23.7 3 times 115 11.5 4–5 times 122 12.2 6–8 times 70 7 >8 38 3.8 Hospitalization None 858 85.8 One day 74 7.4 More than one day 68 6.8 Frequency of hospitalization Once 118 83.1 Twice or more 24 16.9 BMI, body mass index; ED, emergency department. Table 2 The association between body mass index category and emergency department visits. ED visits Underweight Normal Overweight Obese n % n % n % n % Once 90 21.6 227 54.6 51 12.3 48 11.5 Twice 51 21.7 120 51.1 30 12.8 34 14.5 3 times 32 28.1 60 52.6 10 8.8 12 10.5 4–5 times 29 23.8 62 50.8 13 10.7 18 14.8 6–8 times 15 21.4 40 57.1 8 11.4 7 10 >8 6 15.8 24 63.2 6 15.8 2 5.3 ED: emergency department; P=.84 (Pearson chi-square or linear-by-linear association). Table 3 The association between body mass index category and age and duration and frequency hospitalizations. Characteristics Level Underweight Normal Overweight Obese P value n % n % n % n % Age groups Toddlers 92 23.8 228 59.1 41 10.6 25 6.5 <.001 Pre-school 57 27.5 122 58.9 14 6.8 14 6.8 School 66 18.9 170 48.6 48 13.7 66 18.9 Teens 8 15.4 13 25 15 28.8 16 30.8 Duration of hospitalization None 188 22 461 54 105 12.3 99 11.6 .41 One day 20 27 35 47.3 5 6.8 14 18.9 >One day 15 22.1 37 54.4 8 11.8 8 11.8 Frequency of hospitalization Once 32 27.1 57 48.3 10 8.5 19 16.1 .894 ≥Twice 3 12.5 15 62.5 3 12.5 3 12.5 Statistical analysis by Pearson chi-square or linear-by-linear association. ==== Refs REFERENCES 1 Ng M Fleming T Robinson M Thomson B Graetz N Margono C Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013 Lancet 2014 384 9945 766 81 24880830 2 El Mouzan MI Foster PJ Al Herbish AS Al Salloum AA Al Omer AA Qurachi MM Prevalence of overweight and obesity in Saudi children and adolescents Ann Saudi Med 2010 30 3 203 8 20427936 3 Pi-Sunyer X The Medical Risks of Obesity Postgrad Med 2009 121 6 21 33 19940414 4 Mukherjee M Stoddart A Gupta RP Nwaru BI Farr A Heaven M The epidemiology, healthcare and societal burden and costs of asthma in the UK and its member nations: analyses of standalone and linked national databases BMC Med 2016 14 1 1 15 26728489 5 Moradi-Lakeh M El Bcheraoui C Daoud F Tuffaha M Kravitz H Al Saeedi M Prevalence of asthma in Saudi adults: Findings from a national household survey, 2013 BMC Pulm Med 2015 15 77 26216220 6 Al Frayh a R Shakoor Z Gad El Rab MO Hasnain SM Increased prevalence of asthma in Saudi Arabia Ann Allergy Asthma Immunol 2001 86 3 292 6 11289327 7 Nahhas M Bhopal R Anandan C Elton R Sheikh A Investigating the association between obesity and asthma in 6- to 8-year-old Saudi children: a matched case–control study npj Prim Care Respir Med 2014 24 1 14004 24899344 8 Mosen DM Schatz M Magid DJ Camargo CA The relationship between obesity and asthma severity and control in adults J Allergy Clin Immunol 2008 122 3 507 11.e6 18774387 9 Quinto KB Zuraw BL Poon K-YT Chen W Schatz M Christiansen SC The association of obesity and asthma severity and control in children J Allergy Clin Immunol 2011 128 5 964 9 21820711 10 De Vera MJB Gomez MC Yao CE Association of obesity and severity of acute asthma exacerbations in Filipino children Ann Allergy, Asthma Immunol 2016 117 1 38 42 27221063 11 Carroll CL Stoltz P Raykov N Smith SR Zucker AR Childhood Overweight Increases Hospital Admission Rates for Asthma Pediatrics 2007 120 4 734 40 17908759 12 BinSaeed AA Asthma control among adults in Saudi Arabia study of determinants Saudi Med J 2015 36 5 599 604 25935182 13 Hom J Morley EJ Sasso P Sinert R Body mass index and pediatric asthma outcomes Pediatr Emerg Care 2009 25 9 569 71 19755889 14 Luder E Melnik TA Dimaio M Association of being overweight with greater asthma symptoms in inner city black and Hispanic children J Pediatr 1998 132 4 699 703 9580773 15 Ahmadizar F Vijverberg SJH Arets HGM De Boer A Lang JE Kattan M Childhood obesity in relation to poor asthma control and exacerbation: A meta-analysis Eur Respir J 2016 48 4 1063 73 27587561 16 Belamarich PF Luder E Kattan M Mitchell H Islam S Lynn H Do obese innercity children with asthma have more symptoms than nonobese children with asthma? 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