Tip 2 diyabetli bireylerde kardiyovasküler hastalıklar risk faktörleri bilgi düzeyi ve fiziksel aktivite seviyelerinin incelenmesi

Abstract

Amaç: Tip 2 diyabetli bireylerde fiziksel aktivite kardiyovasküler hastalıklar risk faktörleri açısından önemlidir. Çalışmanın amacı, Tip 2 diyabetli bireylerde kardiyovasküler hastalıklar risk faktörleri bilgi düzeyi ve fiziksel aktivite seviyelerini değerlendirmekti.
Yöntem: Çalışmaya 47 tip 2 diyabetli birey (yaş ortalaması: 50,80±5,61 yıl) dahil edildi. Vücut yağı biyoelektrik empedans analizi ile değerlendirildi. Kardiyovasküler hastalıklar risk faktörleri bilgi düzeyi, Kardiyovasküler Hastalıklar Risk Faktörleri Bilgi Düzeyi Ölçeği (0-28) ile değerlendirildi. Koroner arter hastalık risk faktörleri hesaplandı. Fiziksel aktivite seviyeleri yedi gün boyunca üç eksenli akselerometre ile ölçüldü.
Bulgular: Kardiyovasküler hastalıklar risk faktörleri bilgi düzeyi ölçeği 20,69±3,86 puandı. Framingham risk skoru 8,85±3,06 olarak kaydedildi. Günlük ortalama adım sayısı 7195±3441,20 adım/gün olarak hesaplandı. Metabolik eşdeğer ile açlık kan glukozu (r=-0.381; p=0,018), vücut kütle indeksi (r=-0,665; p<0,001), bel çevresi (r=-0,381; p=0,018), vücut yağ yüzdesi (r=-0,554; p=0,002) ile ilişkiliydi. Kardiyovasküler hastalıklar bilgi düzeyi ortalamanın üzerinde bulundu.
Sonuç: Tip 2 diyabetli bireylerde kardiyovasküler hastalıklar bilgi düzeyi ortalamanın üzerinde olmasına rağmen, bireylerin adım sayıları düşüktü. Tip 2 diyabetli bireyleri fiziksel aktivite konusunda bilinçlendirmeye ve adım sayısının yanı sıra aktivite şiddetine de odaklanarak fiziksel aktiviteyi arttırmaya yönelik uygulamalar amaçlanmalıdır.

Keywords

• Kardiyovasküler hastalık
• tip 2 diyabet
• fiziksel aktivite

Investigation of cardiovascular disease risk factors knowledge and physical activity levels in patients with type 2 diabetes

Abstract

Purpose: Physical activity is important in terms of cardiovascular disease risk factors in individuals with type 2 diabetes. The aim of our study was to evaluate the knowledge levels of cardiovascular disease risk factors and physical activity levels in individuals with type 2 diabetes.
Methods: The study included 47 individuals with type 2 diabetes (mean age: 50.80±5.61 years). Body fat percentage was evaluated by bioelectrical impedance analysis. Cardiovascular disease risk factors knowledge levels were evaluated by Cardiovascular Diseases Risk Factors Knowledge Level Scale (0-28). Coronary artery disease risk factors were calculated. Physical activity levels were measured with three-axis accelerometer for seven days.
Results: Cardiovascular Diseases Risk Factors Knowledge Level Scale total point of individuals was 20.69 ± 3.86. Framingham risk score was recorded as 8.85 ± 3.06. The mean step count was calculated as 7195 ± 3441.20 steps/day. Metabolic equivalent was correlated with fasting blood glucose (r=-0.381, p=0.018), body mass index (r=-0.665, p<0.001), waist circumference (r=-0.381, p=0.018), body fat percentage (r=-0.554, p=0.002). The cardiovascular diseases risk factors knowledge level was found above average.
Conclusion: Although cardiovascular diseases risk factors knowledge level was above average in individuals with type 2 diabetes, individuals’ daily number of steps were low. In individuals with type 2 diabetes, practices raising awareness of physical activity and increasing physical activity by focusing on activity intensity as well as the number of steps should be aimed.

References

1. 1. Diabetes Canada Clinical Practice Guidelines Expert Committee, Punthakee Z, Goldenberg R, Katz P et al. Definition, Classification and Diagnosis of Diabetes, Prediabetes and Metabolic Syndrome. Can J Diabetes. 2018;42Suppl 1:10-15.
2. 2. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33 Suppl 1:62-69.
3. 3. Mitka M. Heart disease a global health threat. Jama. 2004;291:2533.
4. 4. Gaziano TA. Lifestyle and cardiovascular disease: More work to do. J Am Coll Cardiol. 2017;69:1126-1128.
5. 5. Alves AJ, Viana JL, Cavalcante SL, et al. Physical activity in primary and secondary prevention of cardiovascular disease: Overview updated. World J Cardiol. 2016;8:575-585.
6. 6. Ahmed E, Youssif M, Ayasreh I, et al. Assess the risk factors and knowledge on modification of lifestyle among patients who have experienced acute myocardial infarction in Taif. Int J Med Sci Public Health. 2013;2:354-373.
7. 7. Arikan I, Metintaş S, Kalyoncu C, et al. The cardiovascular disease risk factors knowledge level (CARRF-KL) scale: a validity and reliability study. Turk Kardiyol Dern Ars. 2009;37:35-40.
8. 8. Taşkın Yılmaz F, Karakoç Kumsar A, Çelik S. Tip 2 Diyabetli Bireylerde Kardiyovasküler Hastalıklar Risk Faktörleri Bilgi Düzeyi İle Sağlıklı Yaşam Biçimi Davranışları Arasındaki İlişki. HEAD. 2018;15: 63-70.

9. 9. Kanjilal S, Rao V, Mukherjee M, et al. Application of cardiovascular disease risk prediction models and the relevance of novel biomarkers to risk stratification in Asian Indians. Vasc Health Risk Manag. 2008;4:199-211.
10. 10. Kelly JS, Metcalfe J. Validity and Reliability of Body Composition Analysis Using the Tanita BC418-MA. J Exerc Physiol Online. 2012;15:75-83.
11. 11. Papazoglou D, Augello G, Tagliaferri M, et al. Evaluation of a multisensor armband in estimating energy expenditure in obese individuals. Obesity. 2006;14:2217-2223.
12. 12. Brazeau A-S, Karelis A, Mignault D, et al. Accuracy of the SenseWear Armband™ during ergocycling. Int J Sports Med. 2011;32:761-764.
13. 13. Arvidsson D, Slinde F, Larsson S, et al. Energy cost of physical activities in children: validation of SenseWear Armband. Med Sci Sports Exerc. 2007;39:2076-2084.
14. 14. Westerterp KR. Physical activity and physical activity induced energy expenditure in humans: measurement, determinants, and effects. Front Physiol. 2013;4:1-11.
15. 15. Tudor-Locke C, Craig CL, Brown WJ, et al. How many steps/day are enough? For adults. Int J Behav Nutr Phys Act. 2011;8:1-17.
16. 16. Alpar R. Uygulamalı istatistik ve geçerlikgüvenirlik: spor, sağlık ve eğitim bilimlerinden örneklerle. Ankara: Detay Yayıncılık; 2010.
17. 17. Hu G, Jousilahti P, Barengo NC, et al. Physical activity, cardiovascular risk factors, and mortality among Finnish adults with diabetes. Diabetes Care. 2005;28:799-805.
18. 18. Machac S, Prochazka M, Radvansky J, et al. Validation of physical activity monitors in individuals with diabetes: energy expenditure estimation by the multisensor SenseWear Armband Pro3 and the step counter Omron HJ720 against indirect calorimetry during walking. Diabetes Technol Ther. 2013;15:413-418.
19. 19. Kraus WE, Janz KF, Powell KE, et al. Daily Step Counts for Measuring Physical Activity Exposure and Its Relation to Health. Med Sci Sports Exerc. 2019;51:1206-1212.
20. 20. Fagour C, Gonzalez C, Pezzino S, et al. Low physical activity in patients with type 2 diabetes: the role of obesity. Diabetes Metab. 2013;39:85-87.
21. 21. Tudor-Locke CE, Bell RC, Myers AM, et al. Pedometer-determined ambulatory activity in individuals with type 2 diabetes. Diabetes Res Clin Pract. 2002;55:191-199.
22. 22. Criniere L, Lhommet C, Caille A, et al. Reproducibility and validity of the French version of the long international physical activity questionnaire in patients with type 2 diabetes. J Phys Act Health. 2011;8:858-865.
23. 23. Oja P, Titze S. Physical activity recommendations for public health: development and policy context. EPMA J. 2011;2:253-259.
24. 24. Liubaoerjijin Y, Terada T, Fletcher K, et al. Effect of aerobic exercise intensity on glycemic control in type 2 diabetes: a meta-analysis of head-to-head randomized trials. Acta Diabetol. 2016;53:769-781.
25. 25. Hazari A, Maiya AG. Physical Activity Measurement Using Accelerometer among Indian with Type 2 Diabetes Mellitus–A CrossSectional Study. Crit Rev Phys Rehabil Med. 2018;30:141-150.
26. 26. Cichosz SL, Fleischer J, Hoeyem P, et al. Objective measurements of activity patterns in people with newly diagnosed Type 2 diabetes demonstrate a sedentary lifestyle. Diabet Med. 2013;30:1063-1066.
27. 27. Healy GN, Winkler EA, Brakenridge CL, et al. Accelerometer-derived sedentary and physical activity time in overweight/obese adults with type 2 diabetes: cross-sectional associations with cardiometabolic biomarkers. PLoS One. 2015;10:1-12.
28. 28. Hills AP, Mokhtar N, Byrne NM. Assessment of physical activity and energy expenditure: an overview of objective measures. Front Nutr. 2014;1:1-16.