1. Introduction
In laboratory studies, Electromyography (EMG) can be used to evaluate chewing. The EMG analysis makes it possible to identify muscle behaviors in different situations such as chewing and swallowing, and during maximal voluntary isometric contraction [
12]. Studies have reported the prevalence of feeding problems in children with down syndrome as 50-80% [
15]. For specialists dealing with people with Down syndrome, it is important to use instrumental assessments in addition to observation to better understand the features of dysphagia in this population.
Considering that no study has been conducted on EMG analysis of masseter and temporalis muscles during chewing in children with Down syndrome compared to healthy peers, this study was conducted with this purpose so that it can greatly help the specialists engaged in the treatment and intervention of these patients.
2. Materials & Methods
In this descriptive-analytical and case-control study, 15 children with Down syndrome aged 2-12 years in Arak, Iran were selected using a convenience sampling method as well as 15 healthy children aged 2-12 years matched for age and gender who were selected by a conveience sampling method. After meeting the criteria to enter the study and explaining the study process to the parents of the children and obtaining written informed consent from them, the children were asked to sit comfortably in a chair with no head resting and look at the computer screen in front of them. The EMG activity of the masseter and temporalis muscles was evaluated by an 8-channel EMG device at a sampling frequency of 1000 Hz and a calibrated 24 BIT device (PartoDanesh Co., Iran). After placement of the electrodes, the EMG activity was recorded during voluntary chewing of a seedless fruit (apple fruit). The obtained information was then entered into SPSS for statistical analysis.
3. Results
Tables 1 and
2 show the mean amplitude and frequency of EMG for the masseter and temporalis muscles while chewing in children with Down syndrome and healthy peers, respectively.
4. Discussion & conclusion
Among studies similar to our study, one study was conducted in 1989 on EMG analysis of the masseter muscle in people with Down syndrome, whose results are consistent with the current study. In a study by Hennequin et al. [
8] to examine differences in chewing indices between 11 adults with Down Syndrome and 12 people without Down Syndrome. The ability to chew was evaluated by means of video recordings taken during a standardized meal that included 10 natural foods. Their results are also consistent with the results of the present study. The claim that people with Down syndrome have chewing problems and have less muscle strength and fatigue was highlighted by this study. The use of treatment methods to increase the strength of the muscles responsible for chewing in these patients should be assessed with follow-up. In a study in 2021 on masticatory function in children with Down syndrome aged 8-10 years, the results also showed that these children had approximately 50% chewing performance and maximum occlusal force compared to healthy age-matched peers [
28], which also support the results of the present study. In other study aimed at evaluating the temporomandibular joint in 40 people with Down syndrome, it was found that 77.5% of these people had temporomandibular disorders [
30]. Their results can be related to the results of our study; the disorder in the temporomandibular joint may be due to the dysfunction of the muscles responsible for chewing.
Ethical Considerations
Compliance with ethical guidelines
The protocol of this study was approved by the ethics committee of Arak University of Medical Sciences (Code: IR.ARAKMU.REC.1396.76). The personal information of participants was kept confidential, and written informed consent was obtained from the parents
Funding
This study was funded by Arak University of Medical Sciences (Grant No.:2794).
Authors' contributions
Conceptualization, design, and writing: Abdolreza Yavari, Mohammad Reza Arab; preparing initial draft, data analysis and interpretation: All authors; editing and review: Marzieh Babaei and Farhad Fatehi.
Conflicts of interest
The authors declare no conflict of interest.
Acknowledgements
The authors would like to thank the Department of General Education, Department of Welfare, and Rehabilitation Centers in Arak as well as participants for their cooperation.
References
- Jaruratanasirikul S, Kor-Anantakul O, Chowvichian M, Limpitikul W, Dissaneevate P, Intharasangkanawin N, et al. A population-based study of prevalence of Down syndrome in Southern Thailand. World J Pediatr. 2017; 13(1):63-9. [DOI:10.1007/s12519-016-0071-5] [PMID]
- Rupela V, Velleman SL, Andrianopoulos MV. Motor speech skills in children with Down syndrome: A descriptive study. Int J Speech Lang Pathol. 2016; 18(5):483-92. [DOI:10.3109/17549507.2015.1112836] [PMID]
- Jackson A, Maybee J, Moran MK, Wolter-Warmerdam K, Hickey F. Clinical characteristics of dysphagia in children with Down Syndrome. Dysphagia. 2016; 31(5):663-71. [DOI:10.1007/s00455-016-9725-7] [PMID]
- Farkas LG, Munro IR, Kolar JC. Abnormal measurements and disproportions in the Face of Down’s Syndrome Patients: Preliminary report of an anthropometric study. Plast Reconstr Surg. 1985; 75(2):159-69. [DOI:10.1097/00006534-198502000-00002] [PMID]
- Fischer-Brandies H. Cephalometric comparison between children with and without Down’s syndrome. Eur J Orthod. 1988; 10(3):255-63. [DOI:10.1093/ejo/10.3.255] [PMID]
- Luke D, Lucas P. Chewing efficiency in relation to occlusal and other variations in the natural human dentition. Br Dent J. 1985; 159(12):401-3. [DOI:10.1038/sj.bdj.4805742] [PMID]
- English JD, Buschang P, Throckmorton G. Does malocclusion affect masticatory performance? Angle Orthod. 2002; 72(1):21-7. [DOI:10.1043/0003-3219(2002)072%3C0021:DMAMP%3E2.0.CO;2]
- Hennequin M, Allison P, Faulks D, Orliaguet T, Feine J. Chewing indicators between adults with Down syndrome and controls. J Dent Res. 2005; 84(11):1057-61. [DOI:10.1177/154405910508401117] [PMID]
- Allison P, Hennequin M. The oral assessment in Down syndrome questionnaire (OADS): Development of an instrument to evaluate oral health problems in individuals with Down syndrome. Community Dent Health. 2000; 17(3):172-9. https://pubmed.ncbi.nlm.nih.gov/11108405/
- Rezaei M, Rashedi V, Heidari A. [Eating problems among children with Down syndrome (Persian)]. J Kermanshah Univ of Med Sci. 2013; 16(8):682-4. https://sites.kowsarpub.com/jkums/articles/77283.html
- Feine J, Lund J. Measuring chewing ability in randomized controlled trials with edentulous populations wearing implant prostheses. J Oral Rehabil. 2006; 33(4):301-8 [DOI:10.1111/j.1365-2842.2006.01614.x] [PMID]
- Phinyomark A, Scheme E. EMG pattern recognition in the era of big data and deep learning. Big Data Cogn Comput. 2018; 2(3):21. [DOI:10.3390/bdcc2030021]
- Oncins MC, Vieira MM, Bommarito S. Electromyography of the masticatory muscles: Analysis in the original and RMS value. Rev CEFAC. 2014; 16(4):1215-21. [DOI:10.1590/1982-021620146913]
- Laud RB, Girolami PA, Boscoe JH, Gulotta CS. Treatment outcomes for severe feeding problems in children with autism spectrum disorder. Behav Modif. 2009; 33(5):520-36. [DOI:10.1177/0145445509346729] [PMID]
- Nordstrøm M, Retterstøl K, Hope S, Kolset SO. Nutritional challenges in children and adolescents with Down syndrome. Lancet Child Adolesc Health. 2020; 4(6):455-64. [DOI:10.1016/S2352-4642(19)30400-6]
- Botter A, Lanfranco F, Merletti R, Minetto MA. Myoelectric fatigue profiles of three knee extensor muscles. Int J Sports Med. 2009; 30(6):408-17. [DOI:10.1055/s-0028-1112142] [PMID]
- Farina D, Merletti R. Methods for estimating muscle fibre conduction velocity from surface electromyographic signals. Med Biol Eng Comput. 2004; 42(4):432-45. [DOI:10.1007/bf02350984] [PMID]
- Reaz M, Hussain M, Mohd-Yasin F. Techniques of EMG signal analysis: Detection, processing, classification and applications (Correction). Biol Proced Online. 2006; 8:163. [DOI:10.1251/bpo124] [PMID] [PMCID]
- Farina D, Fosci M, Merletti R. Motor unit recruitment strategies investigated by surface EMG variables. J Appl Physiol. 2002; 92(1):235-47. [DOI:10.1152/jappl.2002.92.1.235] [PMID]
- Ravier P, Buttelli O, Jennane R, Couratier P. An EMG fractal indicator having different sensitivities to changes in force and muscle fatigue during voluntary static muscle contractions. J Electromyogr Kinesiol. 2005; 15(2):210-21. [DOI:10.1016/j.jelekin.2004.08.008] [PMID]
- Sung PS. Multifidi muscles median frequency before and after spinal stabilization exercises. Arch Phys Med Rehabil. 2003; 84(9):1313-8. [DOI:10.1016/S0003-9993(03)00139-4]
- Cechetto A, Parker P, Scott R. The effects of four time-varying factors on the mean frequency of a myoelectric signal. J Electromyogr Kinesiol. 2001; 11(5):347-54. [DOI:10.1016/S1050-6411(01)00010-4]
- Roman-Liu D. The influence of confounding factors on the relationship between muscle contraction level and MF and MPF values of EMG signal: A review. Int J Occup Saf Ergon. 2016; 22(1):77-91. [DOI:10.1080/10803548.2015.1116817] [PMID] [PMCID]
- Bilodeau M, Arsenault AB, Gravel D, Bourbonnais D. EMG power spectra of elbow extensors during ramp and step isometric contractions. Eur J Appl Physiol Occup Physiol. 1991; 63(1):24-8. https://doi.org/10.1007/BF00760796 [DOI:10.1007/bf00760796] [PMID]
- Potvin J. Effects of muscle kinematics on surface EMG amplitude and frequency during fatiguing dynamic contractions. J Appl Physiol. 1997; 82(1):144-51. [DOI:10.1152/jappl.1997.82.1.144] [PMID]
- Zhou P, Rymer WZ. Factors governing the form of the relation between muscle force and the EMG: A simulation study. J Neurophysiol. 2004; 92(5):2878-86. [DOI:10.1152/jn.00367.2004] [PMID]
- Cifrek M, Tonković S, Medved V. Measurement and analysis of surface myoelectric signals during fatigued cyclic dynamic contractions. Measurement. 2000; 27(2):85-92. [DOI:10.1016/S0263-2241(99)00059-7]
- Niccoli Filho WD, Vitti M, Moraes FMD. Electromyographic analysis of the masseter muscle in persons with Down’s syndrome. Rev odontol UNESP. 1989; 18:293-304. http://host-article-assets.s3.amazonaws.com/rou/5880174d7f8c9d0a098b466d/fulltext.pdf
- Wintergerst A, López-Morales MP. Masticatory function in children with Down syndrome. Physiol Behav. 2021; 235:113390. [DOI:10.1016/j.physbeh.2021.113390] [PMID]
- Aruin AS, Almeida GL. A coactivation strategy in anticipatory postural adjustments in persons with Down syndrome. Motor control. 1997; 1(2):178-91. [DOI:10.1123/mcj.1.2.178]
- Salazar AP, Nery JC, Donini LL, Nora VP, Peralles SR. Temporomandibular joint evaluation in subjects with Down syndrome. Int Med Rev Down Syndr. 2016; 20(3):39-42. [DOI:10.1016/j.sdeng.2016.07.001]
- Pryce M. The voice of people with Down syndrome: An EMG biofeedback study. Downs Syndr Res Pract. 1994; 2(3):106-11. [DOI:10.3104/reports.39]