ISSN 2415-3060 (print), ISSN 2522-4972 (online)
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JMBS 2019, 4(1): 155–160
https://doi.org/10.26693/jmbs04.01.155
Clinical Medicine

The Impact of Group and Individual Therapy on the Correction of Food Behavioral Reactions of Patients with Chronic Non-Communicable Diseases

Shalimova A., Isayeva A., Vovchenko M., Rieznik L., Buriakovska O., Emelyanova N.
Abstract

Currently, eating behavior is considered not only as a component of lifestyle aimed at satisfying physiological and psychological needs (food choices, methods of cooking and eating food choices, methods of cooking and eating, conditions and diet), but also as a significant additional risk factor for the development of chronic non-communicable diseases. The purpose of the study was to assess the effectiveness of group and individual therapy in the correction of food behavioral reactions in patients with chronic non-communicable diseases. Material and methods. The research was conducted at the Department of Complex Risk Reduction of Chronic non-Communicable Diseases of the Government Institution “L.T. Malaya Therapy National Institute of the National Academy of Medical Sciences of Ukraine”, Kharkiv, during 2016-2018. The study included 150 patients with high and very high cardiovascular risk. The first group included 75 patients who agreed to study at the School of Health "Fundamentals of Healthy Livestyle". The second group consisted of 75 patients who were offered individual counseling. The average age of patients from the cohort of group counseling was (63.68 ± 8.44) years, and the individual - (61.63 ± 10.74) years (p = 0.20). The number of men in the first group was 21 (28%), women - 54 (72%); in the second - 25 (33%) and 50 (67%) respectively. The statistical processing of the results was carried out using the package of statistical software "SPSS 21" (IBM), Microsoft Office Exel-2003. Results and discussion. We assessed the feeding behavior food behavioral reactions using a questionnaire developed by the department staff. We determined the daily consumption of salt (less than or equal to 5 g per day), vegetables and fruits (less than or equal to 500 g per day), the smoking factor (in the past and now), as well as the use of alcohol. The assessment of the attitude towards smoking showed that the absolute majority of participants at the beginning of group therapy (92% of respondents) answered no. However, the average length of smoking in men was significantly higher than in women (21 years vs. 7 years, respectively, p <0.05). Among the participants in individual therapy, the vast majority of respondents denied the fact of smoking (90.7%), 4% said that they smoke, and 5.3% smoked in the past, but got rid of it. The average length of smoking in men was also significantly higher than in women (24 years vs. 9 years, respectively, p <0.05). The analysis of another component of food behavioral reactions, namely the use of strong alcohol in moderate quantities, showed that the absolute majority of respondents in both group and individual therapy (94.7% and 92% respectively) denied the use of alcohol at present and in the past. However, the objectivity of such responses is somewhat dubious, and may be explained by the fact that for our modern society, there is no typical admission to the use of alcohol. At the same time, 82% of respondents in group therapy and 78% of participants in individual therapy confirmed the periodic use of low-alcohol beverage (beer and dry wine). Conclusion. We found out that there was a tendency towards positive changes in eating behavior. Both group and individual therapy did not significantly change their indicators such as the daily consumption of salt, vegetables and fruits, smoking and alcohol consumption. This confirms the complexity of the effect on noted risk factor for the development and progression of chronic non- communicable diseases. For this reason, the effect on the formation of a correct dietary stereotype is a complex and multidisciplinary problem, which requires a comprehensive and long-term solution, taking into account a number of factors that are difficult to influence.

Keywords: eating behavior, chronic non-communicable diseases, group therapy, individual therapy

Full text: PDF (Ukr) 277K

References
  1. Dudar LV, Ovdij MO. Rol' harchovoi' povedinky ta rezhymu harchuvannja v rozvytku nadlyshkovoi' masy tila v osib molodogo viku. Suchasna gastroenterologija. 2013; 4 (72): 31–35. [Ukrainian]
  2. Fadjejenko GD, Nikiforova JaV, Vovchenko MM, Burjakovs'ka OO. Nutrigenetychni osoblyvosti ta harchova povedinka – vagomi skladovi suchasnoi' personalizovanoi' medycyny. Ukrai'ns'kyj terapevtychnyj zhurnal. 2017; 2: 26–33. [Ukrainian]
  3. Manskaja EG. Osobennosti pishhevogo povedenija u molodyh zhenshhin s pervichnym ozhireniem. Problemy jendokrinnoj patologii. 2014; 3: 54–60. [Russian]
  4. Nikiforova JaV, Vovchenko MM, Burjakovs'ka OO. Sposib korekcii' harchovoi' povedinky u hvoryh z kardiometabolichnym ryzykom. Suchasna gastroenterologija. 2016; 6 (92): 45–53. [Ukrainian]
  5. Permjakova LO, Vardugina NG, Ponomareva SJu, Kuzin AI. Pishhevoe povedenie i lipidnyj obmen u bol'nyh gipertonicheskj bolezn'ju. Sovremennye problemy nauki i obrazovanija. 2014; 2: 1–8. [Russian]
  6. Sapozhnikova IE, Tarlovskaja EI, Vedenskaja TP. Osobennosti pishhevogo povedenija pacientov s saharnym diabetom. Terapevticheskij arihiv. 2012; 12: 71–75. [Russian]
  7. Voznesenskaja TG. Rasstrojstva pishhevogo povedenija pri ozhirenii i ih korrekcija. Farmateka. 2014; 12: 91–94. [Russian]
  8. Azagba S, Sharaf MF. Eating behavior and obesity in Canada. J Prim Care Comm Health. 2012; 3 (1): 57–64. https://www.ncbi.nlm.nih.gov/pubmed/23804856. https://doi.org/10.1177/2150131911417445
  9. Berner LA, Arigo D, Mayer LE, Sarwer DB, Lowe MR. Examination of central body fat deposition as a risk factor for loss-of-control eating. The American journal of clinical nutrition. 2015; 102 (4): 736. https://www.ncbi.nlm.nih.gov/pubmed/26354534. https://www.ncbi.nlm.nih.gov/pmc/articles/4588740. https://doi.org/10.3945/ajcn.115.107128
  10. Lee HA, Lee WK, Kong KA, Chang N, Ha EH, Hong YS, Park H. The effect of eating behavior on being overweight or obese during preadolescence. J Prev Med Public Health. 2011; 44 (5): 226–33. https://www.ncbi.nlm.nih.gov/pubmed/22020188. https://www.ncbi.nlm.nih.gov/pmc/articles/3249260. https://doi.org/10.3961/jpmph.2011.44.5.226
  11. Martínez-González MA, Corella D, Salas-Salvadó J, Ros E, Covas MI, Fiol M, et al. Cohort profile: design and methods of the PREDIMED study. Int J Epidemiol. 2012; 41: 377–85. https://www.ncbi.nlm.nih.gov/pubmed/21172932. https://doi.org/10.1093/ije/dyq250
  12. Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P, Rinfret S, Schiffrin EL, Eisenberg MJ. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol. 2010; 56(14): 1113–32. https://www.ncbi.nlm.nih.gov/pubmed/20863953. https://doi.org/10.1016/j.jacc.2010.05.034
  13. Mumu SJ, Saleh F, Ara F, Afnan F, Ali L. Non-adherence to life-style modification and its factors among type 2 diabetic patients. Indian J Public Health. 2014; 58(1): 40–4. https://www.ncbi.nlm.nih.gov/pubmed/24748356. https://doi.org/10.4103/0019-557X.128165
  14. Oliveira A, Maia B, Lopes C. Determinants of inadequate fruit and vegetable consumption amongst Portuguese adults. J Hum Nutr Diet. 2014; 27 (12): 194–203. https://www.ncbi.nlm.nih.gov/pubmed/23889074. https://doi.org/10.1111/jhn.12143
  15. Phillips CM. Nutrigenetics and metabolic disease: current status and implications for personalized nutrition. Nutrients. 2013; 5 (1): 32–57. https://www.ncbi.nlm.nih.gov/pubmed/23306188. https://www.ncbi.nlm.nih.gov/pmc/articles/3571637. https://doi.org/10.3390/nu5010032
  16. Schaumberg K, Anderson D. Dietary restraint and weight loss as risk factors for eating pathology. Eating Behaviors. 2016; 23: 97–103. https://www.ncbi.nlm.nih.gov/pubmed/27611582. https://doi.org/10.1016/j.eatbeh.2016.08.009
  17. Sung J, Lee K, Song YM, Lee MK, Lee DH. Heritability of eating behavior assessed using the DEBQ (Dutch Eating Behavior Questionnaire) and weight-related traits: the Healthy Twin Study. Obesity (Silver Spring). 2010; 18 (5): 1000–5. https://www.ncbi.nlm.nih.gov/pubmed/19876000. https://doi.org/10.1038/oby.2009.389
  18. Tackett BP, Petrie TA, Anderson CM. The frequency of weigh-ins, weight intentionality and management, and eating among female collegiate athletes. Elsevier. Eating Behaviors. 2016; 23: 82–5. https://www.ncbi.nlm.nih.gov/pubmed/27579968. https://doi.org/10.1016/j.eatbeh.2016.08.007
  19. Yumuk V. European Guidelines for Obesity Management in Adults. European J Obesity. Obesity Facts. 2015; 8: 407–12. https://www.ncbi.nlm.nih.gov/pubmed/26641646. https://www.ncbi.nlm.nih.gov/pmc/articles/5644856. https://doi.org/10.1159/000442721