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. 2024 May 24;21(6):672.
doi: 10.3390/ijerph21060672.

Anthropometric Profile, Overweight/Obesity Prevalence, and Socioeconomic Impact in Moroccan Children Aged 6-12 Years Old with Autism Spectrum Disorder

Affiliations

Anthropometric Profile, Overweight/Obesity Prevalence, and Socioeconomic Impact in Moroccan Children Aged 6-12 Years Old with Autism Spectrum Disorder

Rachid Touali et al. Int J Environ Res Public Health. .

Abstract

Background: In addition to the inherent challenges of their condition, children with autism spectrum disorder (ASD) are also susceptible to the global obesity epidemic. However, concerning the prevalence of obesity within the Moroccan ASD pediatric population, data remain scarce.

Methods: A total of 258 children (boys = 195) aged 6 to 12 years old (mean = 9.4 ± 1.4) diagnosed with ASD participated in this study. Besides the body mass and height, four significant anthropometric markers for assessing obesity were examined: body mass index (BMI), body surface area (BSA), waist circumference (WC), and waist-to-height ratio (WHtR). Each anthropometric marker was categorized into one of three cardiometabolic risk levels based on the Z-scores and their corresponding percentiles. The distribution was as follows: low risk (≤84th percentile), high risk (85th-94th percentile), and very high risk (≥95th percentile). Subsequently, a multiple regression analysis was employed to develop an algorithm that generates a composite risk score. This score incorporates all the anthropometric variables simultaneously, while also weighting their individual contributions to the cardiometabolic risk.

Results: Children with ASD exhibit an anthropometric profile that markedly increases their susceptibility to cardiometabolic issues. While roughly 11% of the general Moroccan child population is overweight or obese, this figure soars to nearly 60% among children with ASD when considering the central adiposity markers. Furthermore, children from middle-class socioeconomic backgrounds display a more than threefold greater risk of developing overweight or obesity compared to their counterparts from lower socioeconomic backgrounds.

Conclusions: This study has, for the first time, provided an up-to-date overview of the cardiometabolic risk in Moroccan children with ASD using traditional anthropometric measurements. The primary risk factor is clearly linked to central (abdominal) adiposity, which is recognized as the most deleterious. This study highlights the need to include general and central obesity markers. This study underscores the importance of incorporating both general and central adiposity markers for a more comprehensive assessment, and it emphasizes the need for closer monitoring within this high-risk population.

Keywords: ASD children; cardiometabolic risk; central obesity; composite risk score; general obesity.

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Conflict of interest statement

Author Dominic Gagnon is employed by the company Jonquière Medic. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest.

Figures

Figure 1
Figure 1
Socioeconomic disparities in the anthropometric measurements between ASD and neurotypical boys. (A) Body mass; (B) Body height; (C) Body mass index; (D) Body surface area; (E) Waist circumference; (F) Waist-to-height ratio.
Figure 2
Figure 2
Socioeconomic disparities in the anthropometric measurements between ASD and neurotypical girls. (A) Body mass; (B) Body height; (C) Body mass index; (D) Body surface area; (E) Waist circumference; (F) Waist-to-height ratio.
Figure 3
Figure 3
Bland–Altman plot comparing the measured versus the predicted values of the CRS. The two red lines represent the confidence interval (CI95%) and the green dashed line represents the mean of the differences between the two compared methods of measurements.

References

    1. American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders (DSM-5) American Psychiatric Pub; Washington, DC, USA: 2013.
    1. Broder-Fingert S., Brazauskas K., Lindgren K., Iannuzzi D., Van Cleave J. Prevalence of overweight and obesity in a large clinical sample of children with autism. Acad. Pediatr. 2014;14:408–414. doi: 10.1016/j.acap.2014.04.004. - DOI - PubMed
    1. Kittana M., Ahmadani A., Williams K.E., Attlee A. Nutritional Status and Feeding Behavior of Children with Autism Spectrum Disorder in the Middle East and North Africa Region: A Systematic Review. Nutrients. 2023;15:711. doi: 10.3390/nu15030711. - DOI - PMC - PubMed
    1. Hill A.P., Zuckerman K.E., Fombonne E. Obesity and Autism. Pediatrics. 2015;136:1051–1061. doi: 10.1542/peds.2015-1437. - DOI - PMC - PubMed
    1. de Vinck-Baroody O., Shui A., Macklin E.A., Hyman S.L., Leventhal J.M., Weitzman C. Overweight and Obesity in a Sample of Children with Autism Spectrum Disorder. Acad. Pediatr. 2015;15:396–404. doi: 10.1016/j.acap.2015.03.008. - DOI - PubMed