Abstract
The aim of the article is to compare the morphological features of language between people suffering from anorexia and healthy people. The research was conducted in cooperation with the Medical University of Silesia on the basis of a pilot group of people: 41 from anorexia patients and 55 from healthy young females. The study focuses on the statistics for the following parts of speech: personal pronoun ‘I’, possessive adjective ‘my’ verbs, adjectives. Several significant differences were detected, including abnormal usage of the personal pronoun ‘I’ and mostly verb ‘to be’, and action verbs by anorectic people. In the future, it is planned to conduct the research on a larger group of patients and include the descriptions of the drawings in the re-search.
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References
Springall, G., Cheung, M., Sawyer, S.M., Yeo, M.: Impact of the coronavirus pandemic on anorexia nervosa and atypical anorexia nervosa presentations to an Australian tertiary paediatric hospital. J. Paediatr. Child Health (2021). https://doi.org/10.1111/JPC.15755
Gigantesco, A., Masocco, M., Picardi, A., Lega, I., Conti, S., Vichi, M.: Hospitalization for anorexia nervosa in Italy. Riv. Psichiatr. 45, 154–162 (2010)
Miniati, M., et al.: Eating disorders spectrum during the COVID pandemic: a systematic review. Front. Psychol. 12, 4161 (2021). https://doi.org/10.3389/FPSYG.2021.663376
Vuillier, L., May, L., Greville-Harris, M., Surman, R., Moseley, R.L.: The impact of the COVID-19 pandemic on individuals with eating disorders: the role of emotion regulation and exploration of online treatment experiences. J. Eat. Disord. 9, 1–18 (2021). https://doi.org/10.1186/S40337-020-00362-9
Rodgers, R.F., et al.: The impact of the COVID-19 pandemic on eating disorder risk and symptoms. Int. J. Eat. Disord. 53, 1166–1170 (2020). https://doi.org/10.1002/eat.23318
Surgenor, L.J., Maguire, S.: Assessment of anorexia nervosa: an overview of universal issues and contextual challenges. J. Eat. Disord. 1, 1–12 (2013). https://doi.org/10.1186/2050-2974-1-29
Damiano, S.R., Atkins, L., Reece, J.: The psychological profile of adolescents with anorexia and implications for treatment. J. Eat. Disord. 2, 1–1 (2014). https://doi.org/10.1186/2050-2974-2-S1-P9
Anorexia Nervosa: Symptoms, Causes, and Treatments. https://www.healthline.com/health/anorexia-nervosa. Accessed 23 Jan 2022
Smink, F.R.E., Van Hoeken, D., Hoek, H.W.: Epidemiology of eating disorders: incidence, prevalence and mortality rates. Curr. Psychiatry Rep. 14, 406–414 (2012). https://doi.org/10.1007/S11920-012-0282-Y
Wu, J., Liu, J., Li, S., Ma, H., Wang, Y.: Trends in the prevalence and disability-adjusted life years of eating disorders from 1990 to 2017: results from the Global Burden of Disease Study 2017. Epidemiol. Psychiatr. Sci. 29 (2020). https://doi.org/10.1017/S2045796020001055
Kotwas, A., Karakiewicz-Krawczyk, K., Zabielska, P., Jurczak, A., Bażydło, M., Karakiewicz, B.: The incidence of eating disorders among upper secondary school female students. Psychiatr. Pol. 54, 253–263 (2020). https://doi.org/10.12740/PP/ONLINEFIRST/99164
Quick, V.M., Byrd-Bredbenner, C., Neumark-Sztainer, D.: Chronic illness and disordered eating: a discussion of the literature. Adv. Nutr. 4, 277 (2013). https://doi.org/10.3945/AN.112.003608
Stice, E., Nathan Marti, C., Rohde, P.: Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8-year prospective community study of young women. J. Abnorm. Psychol. 122, 445 (2013). https://doi.org/10.1037/A0030679
Abebe, D.S., Lien, L., Von Soest, T.: The development of bulimic symptoms from adolescence to young adulthood in females and males: a population-based longitudinal cohort study. Int. J. Eat. Disord. 45, 737–745 (2012). https://doi.org/10.1002/EAT.20950
Guillaume, S., et al.: Characteristics of suicide attempts in anorexia and bulimia nervosa: a case-control study. PLoS ONE 6, 23578 (2011). https://doi.org/10.1371/JOURNAL.PONE.0023578
Abbate-Daga, G., Amianto, F., Delsedime, N., De-Bacco, C., Fassino, S.: Resistance to treatment in eating disorders: a critical challenge. BMC Psychiatry 13, 1–18 (2013). https://doi.org/10.1186/1471-244X-13-294
Robertson, A., Thornton, C.: Challenging rigidity in Anorexia (treatment, training and supervision): questioning manual adherence in the face of complexity. J. Eat. Disord. 9, 1–8 (2021). https://doi.org/10.1186/S40337-021-00460-2
Bellows, B.K., et al.: Automated identification of patients with a diagnosis of binge eating disorder from narrative electronic health records. J. Am. Med. Inform. Assoc. 21, e163 (2014). https://doi.org/10.1136/AMIAJNL-2013-001859
Funk, B., et al.: A framework for applying natural language processing in digital health interventions. J. Med. Internet Res. 22 (2020). https://doi.org/10.2196/13855
Spinczyk, D., Bas, M., Dzieciąko, M., Maćkowski, M., Rojewska, K., Maćkowska, S.: Computer-aided therapeutic diagnosis for anorexia. Biomed. Eng. Online 19 (2020). https://doi.org/10.1186/S12938-020-00798-9
Barańska, K., Różańska, A., Maćkowska, S., Rojewska, K., Spinczyk, D.: Determining the intensity of basic emotions among people suffering from anorexia nervosa based on free statements about their body. Electronics 11, 138 (2022). https://doi.org/10.3390/electronics11010138
Iliev, R., Dehghani, M., Sagi, E.: Automated text analysis in psychology: methods, applications, and future developments. Lang. Cogn. 7, 265–290 (2015). https://doi.org/10.1017/LANGCOG.2014.30
Calvo, R.A., Milne, D.N., Hussain, M.S., Christensen, H.: Natural language processing in mental health applications using non-clinical texts. Nat. Lang. Eng. 23, 649–685 (2017). https://doi.org/10.1017/S1351324916000383
Rezaii, N., Walker, E., Wolff, P.: A machine learning approach to predicting psychosis using semantic density and latent content analysis. npj Schizophr. 5, 1–12 (2019). https://doi.org/10.1038/s41537-019-0077-9
Van Puyvelde, M., Neyt, X., McGlone, F., Pattyn, N.: Voice stress analysis: a new framework for voice and effort in human performance. Front. Psychol. 9, 1994 (2018). https://doi.org/10.3389/FPSYG.2018.01994
Rocco, D., Pastore, M., Gennaro, A., Salvatore, S., Cozzolino, M., Scorza, M.: Beyond verbal behavior: an empirical analysis of speech rates in psychotherapy sessions. Front. Psychol. 9, 978 (2018). https://doi.org/10.3389/FPSYG.2018.00978
Cuteri, V., et al.: Linguistic Feature of Anorexia Nervosa: A Prospective Case-Control Pilot Study (2021). https://doi.org/10.21203/RS.3.RS-186615/V1
Minori, G., et al.: Linguistic markers of anorexia nervosa: preliminary data from a prospective observational study. In: 3rd RaPID Workshop: Resources and Processing of Linguistic, Para-linguistic and Extra-linguistic Data from People with Various Forms of Cognitive/Psychiatric/Developmental Impairments, pp. 34–37 (2020)
Spinczyk, D., Nabrdalik, K., Rojewska, K.: Computer aided sentiment analysis of anorexia nervosa patients’ vocabulary. Biomed. Eng. Online 17, 1–11 (2018). https://doi.org/10.1186/S12938-018-0451-2
Pyysalo, S.: Text parsing. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds.) Encyclopedia of Systems Biology, pp. 2162–2163. Springer, New York (2013). https://doi.org/10.1007/978-1-4419-9863-7_182
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Maćkowska, S., Barańska, K., Różańska, A., Rojewska, K., Spinczyk, D. (2022). Morphological Language Features of Anorexia Patients Based on Natural Language Processing. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_9
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