Prediction of risks and odds of rehospitalization of patients with eating disorders in anxiety-depressive disorders

Authors

DOI:

https://doi.org/10.26641/2307-0404.2024.1.301148

Keywords:

anxiety, depression, anxiety-depressive disorders, eating behavior, eating behavior disorders, prediction

Abstract

The article represents the results of a study aimed on predicting the risks and odds of rehospitalization among patients with eating disorders in anxiety-depressive disorders. In total, 147 patients with anxiety and depressive disorders were examined. Patients were divided into a main group of 82 and a comparison group of 65 patients. The main group consisted of 21 (26%) men with a mean age of 38.33 (SD 11.53) and 61 (74%) women with a mean age of 43.15 (SD 11.44). The comparison group consisted of 19 (29%) men, mean age 37.53 (SD 9.75) and 46 (71%) women, mean age 45.22 (SD 12.17). At the time of the initial examination in the main group, 35 (43%) patients were hospitalized for the first time, 47 (57%) – rehospitalized; in the comparison group, 23 (35%) patients – for the first time hospitalized, and 42 (65%) – rehospitalized. It was found that 27  patients were rehospitalized within the next year after the intervention and treatment. Clinical-anamnestic, clinical-psychopathological and psychodiagnostic study supplemented by psychometric scales (PHQ-9 health questionnaire, Dutch Eating Behaviour Questionnaire (DEBQ), State-Trait Anxiety Inventory (STAI; C.D. Spielberger), Methodology for assessing the integrative Quality of Life Index (QLI; J.E. Mezzich)) was conducted. As a result of the study, it was found that patients in the main group had a 3.6 times lower risk of rehospitalization over the next year than patients in the comparison group. When constructing a unipolar regression model, the best predictive power and discriminative ability was demonstrated by the number of previous hospitalizations (p<0.01, AUC 0.75 (0.67-0.82)) and the intervention in the main group, which reduced the odds of rehospitalization over the next year by 4.8 times. The highest discriminative ability was demonstrated by the multiple logistic regression model (AUC 0.83 (0.76-0.88)), according to which intervention in the main group reduced the odds of rehospitalization in the next year by 5.9 times. The results of the study became the basis for the development of differentiated treatment and correctional measures for eating disorders in patients with anxiety-depressive disorders to improve the quality of care, prevent psychosocial maladjustment and improve the quality of life of this population.

References

Qian J, Wu Y, Liu F, Zhu Y, Jin H, Zhang H, et al. An update on the prevalence of eating disorders in the general population: a systematic review and meta-analysis. Eat Weight Disord. 2022 Mar;27(2):415-28. doi: https://doi.org/10.1007/s40519-021-01162-z

Silén Y, Keski-Rahkonen A. Worldwide prevalence of DSM-5 eating disorders among young people. Curr Opin Psychiatry. 2022 Nov 1;35(6):362-71. doi: https://doi.org/10.1097/YCO.0000000000000818

van Eeden AE, van Hoeken D, Hoek HW. Incidence, prevalence and mortality of anorexia nervosa and bulimia nervosa. Curr Opin Psychiatry. 2021 Nov 1;34(6):515-24. doi: https://doi.org/10.1097/YCO.0000000000000739

van Hoeken D, Hoek HW. Review of the burden of eating disorders: mortality, disability, costs, quality of life, and family burden. Curr Opin Psychiatry. 2020 Nov;33(6):521-7. doi: https://doi.org/10.1097/YCO.0000000000000641

The Universal Declaration on Bioethics and Human Rights. International Social Science Journal [Internet]. 2005 Dec [cited 2021 Oct 29];57(186):745-53. doi: https://doi.org/10.1111/j.1468-2451.2005.00592

World Medical Association Declaration of Helsinki. JAMA [Internet]. 2013 Nov 27 [cited 2021 Oct 29];310(20):2191. doi: https://doi.org/10.1001/jama.2013.281053

Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: https://doi.org/10.1046/j.1525-1497.2001.016009606.x

Strien T van, Frijters JER, Bergers GPA, Defares PB. The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. International Journal of Eating Disorders. 1986 Feb;5(2):295-315. doi: https://doi.org/10.1002/1098-108X(198602)5:2<295::AID-EAT2260050209>3.0.CO;2-T

Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA. Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press; 1983.

Maruta NO, Panko TV, Yavdak IO. [Quality of life criterion in psychiatric practice]. Kharkiv: RVF Arsis, LTD; 2004. Russian.

Torres D, Normando D. Biostatistics: essential concepts for the clinician. Dental Press J Orthod. 2021 Mar 10;26(1):e21spe1. doi: https://doi.org/10.1590/2177-6709.26.1.E21SPE1

Ying GS, Maguire MG, Glynn RJ, Rosner B. Tutorial on Biostatistics: Receiver-Operating Characteristic (ROC) Analysis for Correlated Eye Data. Ophthalmic Epidemiol. 2022 Apr;29(2):117-27. doi: https://doi.org/10.1080/09286586.2021.1921226

Wiechert M, Holzapfel C. Nutrition Concepts for the Treatment of Obesity in Adults. Nutrients. 2021 Dec 30;14(1):169. doi: https://doi.org/10.3390/nu14010169

Kahn M, Brunstein-Klomek A, Hadas A, Snir A, Fennig S. Early changes in depression predict outcomes of inpatient adolescent anorexia nervosa. Eat Weight Disord. 2020 Jun;25(3):777-85. doi: https://doi.org/10.1007/s40519-019-00686-9

Lipsitz O, McIntyre RS, Rodrigues NB, Lee Y, Gill H, Subramaniapillai M, et al. Does body mass index predict response to intravenous ketamine treatment in adults with major depressive and bipolar disorder? Results from the Canadian Rapid Treatment Center of Excellence. CNS Spectr. 2022 Jun;27(3):322-30. doi: https://doi.org/10.1017/S1092852920002102

Daley A, Scobie B, Shorey J, Breece J, Oxley S. Predicting 30-Day Readmissions: Evidence From a Small Rural Psychiatric Hospital. J Psychiatr Pract. 2021 Sep 16;27(5):346-60. doi: https://doi.org/10.1097/PRA.0000000000000574

Zhao Y, Hoenig JM, Protacio A, Lim S, Norman CC. Identification of risk factors for early psychiatric rehospitalization. Psychiatry Res. 2020 Jan 21;285:112803. doi: https://doi.org/10.1016/j.psychres.2020.112803

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Published

2024-04-01

How to Cite

1.
Ogorenko V, Kokashynskyi V. Prediction of risks and odds of rehospitalization of patients with eating disorders in anxiety-depressive disorders. Med. perspekt. [Internet]. 2024Apr.1 [cited 2024Jun.30];29(1):163-9. Available from: https://journals.uran.ua/index.php/2307-0404/article/view/301148

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CLINICAL MEDICINE