The use of psychometric methods for the diagnosis of anxiety and depressive disorders in patients with a general somatic profile


Aim. To identify and compare the level of anxiety and depression in therapeutic patients with somatic pathology, establish the structure of the gender distribution of anxiety and depressive disorders.

Methods. The study involved 126 people: 74 (58.73%) women and 52 (41.27%) men aged 21–59 years. 59 patients had diseases of the respiratory system (chronic bronchitis in the acute stage with an asthmatic component), 67 patients with cardiovascular diseases (40 subjects with coronary heart disease, 27 subjects with arterial hypertension). In 11 patients with coronary artery disease and 13 patients with hypertension, type I thyrotoxicosis was diagnosed. Clinical psychopathological, psychometric, psychological and statistical methods were used in the study. Psychometric tests were used: the Depression Scale of the Center for Epidemiological Research; Hospital Anxiety and Depression Scale and Taylor Anxiety Disorder Scale adapted by T.A. Nemchinova and V.G. Norakidze, adapted standardized multivariate questionnaire for personality research.

Results. According to the severity of anxiety and depressive disorders, patients were divided into the groups: group 1 with severe level, group 2 with a moderate (subclinical) level, and group 3 with mild (not exceeding the norm) anxiety and depressive disorders. Severe and moderate disorders are most characteristic for the pathology of cardiovascular system. In coronary artery disease and arterial hypertension, abnormal (severe and moderate) anxiety and depressive disorders were observed in 24/29 (82.76%) and 20/22 (90.9%) patients, respectively. In patients with abnormal anxiety and depressive disorders, the number of women prevailed over men in the subgroup with hypertension (80% versus 20%, p=0.025) as well as in combination of hypertension with type 1 thyrotoxicosis (85.7% versus 14.3%, р=0.029).

Conclusion. In patients, severe and moderate anxiety and depressive disorders are associated with the development of the pathology of cardiovascular system: coronary heart disease and arterial hypertension.

I V Dubatova

Rostov State Medical University

Rostov-on-Don, Russia

V G Voyakina

Aksay Branch of Psychoneurological Dispensary of Rostov Oblast,

Aksay, Russia

S V Lepyavka

Rostov State Medical University

Rostov-on-Don, Russia

A V Safronenko

Rostov State Medical University

Rostov-on-Don, Russia

I A Demidov

Rostov State Medical University

Author for correspondence.
Rostov-on-Don, Russia

  1. WHO. Fact sheet N369. (access date: 14.12.2018) (In Russ.)
  2. Neznanov N.G., Mazo G.E., Rukavishnikov G.V., Kibi­tov A.O. Depression as a predictor of somatic diseases: pathophysiological background and genetic risk. Uspekhi fiziologicheskih nauk. 2017; 48 (4): 29–39. (In Russ.)
  3. Andryushchenko A.V. The prevalence and structure of mental disorders in general medicine. Psihicheskie rasstroystva v obshchey meditsine. 2011; (1): 14–27. (In Russ.)
  4. Starostina E.G., Volodina M.N., Starostin I.V., Bobrov A.E. Depression and diabetes as comorbid diseases. RMZh. 2017; 25 (22): 1613–1620. (In Russ.)
  5. Smulevich A.B., Dubnitskaya E.B., Voronova E.I. To the problem of recognition of psychosomatic disorders in ge­neral medical practice. Psihicheskie rasstroystva v obshchey meditsine. 2017; (3–4): 4–10. (In Russ.)
  6. Smulevich A.B. Depressii pri psikhi­cheskikh i somaticheskikh zabolevaniyakh. (Depression in mental and somatic diseases.) 4th ed. Moscow: MIA. 2005; 64 p. (In Russ.)
  7. Romasenko L.V. Depression and cardiovascular diseases. Nevrologiya, nejropsihiatriya, psihosomatika. 2009; (3–4): 8. (In Russ.)
  8. Omel'chenko V.P., Demidova A.A. Medicinskaya informatika. Rukovodstvo k prakticheskim zanjatijam: uchebnoe posobie. Glava 10. Statisticheskaja obrabotka rezul'tatov mediko-biologicheskogo issledovanija. (Medical informatics. A guide to practical exercises: a tutorial. Chapter 10. Statistical processing of the results of medical and biological research.) Moscow: GEOTAR-Media. 2017; 324–356. (In Russ.)


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© 2019 Dubatova I.V., Voyakina V.G., Lepyavka S.V., Safronenko A.V., Demidov I.A.

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Свидетельство о регистрации СМИ ЭЛ № ФС 77-75008 от 1 февраля 2019 года выдано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор)