EVALUATION THE QUALITY OF LIFE OF THE RESIDENTS OF TURKISTAN IN CONNECTION WITH BEHAVIORAL RISK FACTORS
Introduction: Nowadays, by determining the level of quality of life due to behavioral risk factors, which is one of the main causes of the disease, it is possible to obtain a comprehensive picture of a person's attitude to health.
The aim of study: To determine the level of quality of life of the Turkistan’s residents associated with the main behavioral risk factors.
Materials and methods: 632 respondents were recruited for the study. Their average age was 51.19±11.65 years. In order to determine behavioral risk factors: information about smoking - Fagerstrom test; assessment of alcohol consumption - the AUDIT questionnaire; determination of the level of physical activity - questionnaire of IPAQ; determination of the BMI was carried out by anthropometric studies. And, the SF-36 questionnaire was used to assess the quality of life.
Results: It was found that smokers have a higher level of quality of life than non-smokers, according to the BP scale of the SF-36 questionnaire (p=0.016). People who drink alcohol showed higher scores than non-drinkers on the RP (p=0.020), SF (p=0.008), and RE (p=0.015) scales, respectively. At the same time, the interval of statistical significance remained in the group of people engaged in a moderate level of physical activity according to the BP (p=0.025) and SF (p=0.007) scales. However, the interval of statistical significance for BMI on all scales of the SF-36 was not observed. Statistical processing of the obtained data was carried out using the statistical program SPSS 22 (SPSS Inc, Chicago, Illinois, USA) trial version.
Conclusions: It has been established that there are changes in the quality of life of respondents depending on the types of behavioral risk factors.
Yerbolat G. Saruarov1, https://orcid.org/0000-0002-1786-5209
Gulnaz O. Nuskabaeva1, https://orcid.org/0000-0003-2139-3221
Zhanat N. Shalkharova1, https://orcid.org/0000-0003-0069-3073
Аiman А. Mussina2, https://orcid.org/0000-0002-0864-1238
1 Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan c., Republic of Kazakhstan;
2 NJSC «Astana Medical University», Nur-Sultan c., Republic of Kazakhstan.
1. Apolone G., Mosconi P. The Italian SF-36 health survey: translation; validation and norming // J Clin Epidemiol 1998;51:1025–36.
2. Aaronson N., Muller M., Cohen P.D.A., Essink-Bot M.L. et al. Translation, validation and norming of the Dutch language version of the SF-36 Health Survey in community and chronic disease population // J Clin Epidemiol 1998;51:1055–68.
3. Alonso J., Ferrer M., Gandek B., Ware Jr.Je., Aaronson N.K., Mosconi P. Health-related quality of life associated with chronic conditions in eight countries: results from the International Quality of Life Assessment (IQOLA) Project // Qual Life Res 2004;13:283–98.
4. Brazier J.E., Harper R., Jones N.M., Cathain A., Usherwood T., Westlake L. Validating the SF-36 health survey questionnaire: new outcome measure for primary care // BMJ 1992;305(6846):160–4.
5. Bullinger M. German translation and psychometric testing of the SF-36 health survey: preliminary results from the IQOLA project // Soc Sci Med 1995;41:1359-1366.
6. Barcones-Molero M.F., Sánchez-Villegas A., Martínez-González M.A., Bes-Rastrollo M., Martínez-Urbistondo M., Santabárbara J., Martínez J.AThe influence of obesity and weight gain on quality of life according to the SF-36 for individuals of the dynamic follow-up cohort of the University of Navarra // Revista Clínica Española (English Edition). 2018. 218(8), 408-416.
7. Edward J., Ware Jr.Je., Gandek B. Overview of the SF-36 Health Survey and the international Quality of life Assessment (IQOLA) Project // J Clin Epidemiol 1998;51:903–12.
8. Gandek B., Ware J.J. Methods for validating and norming trans- lations of health status questionnaires: the IQOLA Project approach. International Quality of Life Assessment // Journal of Clinical Epidemiology 1998, 51:953-959.
9. Gomez A., Hani Butrus F., Johansson P., Åkerström E., Soukka S., Emamikia S. & Parodis I. Impact of overweight and obesity on patient-reported health-related quality of life in systemic lupus erythematosus // Rheumatology, 2021.60(3), 1260-1272.
10. Karlsen T.I., Tveitа E. K., Natvig G.K., Tonstad S. Hjelmesæth J. Validity of the SF-36 in patients with morbid obesity // Obesity facts, 2011.4(5), 346-351.
11. Kolotkin R.L., Meter K., Williams G.R. Quality of life and obesity // Obesity reviews, 2001. 2(4), 219-229.
12. Laaksonen M., Rahkonen O., Martikainen P., Karvonen S., Lahelma E. Smoking and SF-36 health functioning // Preventive medicine, 2006.42(3), 206-209.
13. Lavernia C.J., Villa J.M., Contreras J.S. Arthroplasty knee surgery and alcohol use: risk factor or benefit? // Clinical Orthopaedics and Related Research®, 2013. 471(1), 189-194.
14. Pucci G.C., Rech C.R., Fermino R.C., Reis R.S. Association between physical activity and quality of life in adults // Revista de Saúde Pública, 2012. 46, 166-179.
15. Rajabi A., Arefnezhad M., Erfanpoor S., Esmaeilzadeh F., Arefnezhad M., Hasani J. Cigarette smoking and health-related quality of life in the general population of Iran: Independent associations according to gender // International journal of preventive medicine, 2019. 10.(1):188.
16. Saito I., Okamura T., Fukuhara S., Tanaka T., Suzukamo Y., Okayama A., & Hipop‐OHP Research Group. A cross‐sectional study of alcohol drinking and health‐related quality of life among male workers in Japan // Journal of occupational health, 2005.47(6), 496-503.
17. Ul‐Haq Z., Mackay D.F., Fenwick E., Pell J.P. Meta‐analysis of the association between body mass index and health‐related quality of life among adults, assessed by the SF‐36 // Obesity, 2013. 21(3), E322-E327.
18. Ware Jr.Je, Gandek B., Kosinki M., Aorosaon N.K., Apolone G., Brazier J., et al. The equivalence of SF-36 Summary health scores estimated using standard and country specific algorithms in 10 countries: results from the IQOLA project. International Quality of life Assessment // J Clin Epidemiol 1998;51(11):1067–70.
19. Ware J., Gandek B. Methods for testing data quality, scaling assumptions, and reliability: the IQOLA Project approach // Journal of Clinical Epidemiology 1998, 51:945-952.
20. Williams E.C., Peytremann-Bridevaux I., Fan V.S., Bryson C.L., Blough D.K., Kivlahan D.R., Bradley K.A. The association between alcohol screening scores and health status in male veterans // Journal of addiction medicine, 2010. 4(1), 27-37.
Number of Views: 87
Category of articles:
Original articles
Bibliography link
Saruarov Y.G., Nuskabaeva G.O., Shalkharova Zh.N., Mussina А.А. Evaluation the quality of life of the residents of Turkistan in connection with behavioral risk factors // Nauka i Zdravookhranenie [Science & Healthcare]. 2022, (Vol.24) 4, pp. 94-100. doi 10.34689/SH.2022.24.4.012Related publications:
ANALYSIS OF CLINICAL AND DEMOGRAPHIC INDICATORS OF PATIENTS WITH PARKINSON'S DISEASE IN THE SOUTHERN REGION OF KAZAKHSTAN
A COMPARATIVE STUDY OF DRUG POLICY REGARDING ORPHAN DISEASES IN THE USA, THE EUROPEAN UNION, AND THE REPUBLIC OF KAZAKHSTAN
MUTATIONS IN CARDIAC ION CHANNEL GENES IN KAZAKHSTANI PATIENTS WITH LONG QT SYNDROME
GENETIC FEATURES OF CONGENITAL DYSFUNCTION OF THE ADRENAL CORTEX CAUSED BY 21-HYDROXYLASE DEFICIENCY IN PERSONS OF KAZAKH NATIONALITY
NON-MOTOR SYMPTOMS IN PARKINSON'S DISEASE USING THE EXAMPLE OF AKTOBE PATIENTS