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EVALUATION OF THE RELATIONSHIP BETWEEN DIET QUALITY AND BLOOD PARAMETERS, PHYSICAL ACTIVITY LEVEL AND EXERCISE CAPASITY IN HEALTHY SUBJECTS

Yıl 2025, Cilt: 11 Sayı: 1, 613 - 632, 30.08.2025

Öz

The aim of the study was to evaluate the relationships between diet quality and blood parameters, physical activity level, and exercise capacity in healthy female subjects.
The study included 36 volunteers aged 18-26 years. Demographic data, blood test results, food consumption data, and diet quality index were recorded. Activity level was measured with the leisure-time exercise scale and exercise capacity with the 6-minute walk test.
The mean age of the participants was 20.55±1.20 years and the mean body mass index was 21.55±3.99 kg/m2. 26 participants had a low diet quality score, while 10 had a high one. When analyzed regarding diet quality, there was a significant difference in activity levels and the last heart rate measurement of the 6-minute walk test (p=0.017;0.009, respectively). It was found that individuals with low diet quality were moderately active, while individuals with high diet quality were more active (p=0.025). Walking distance showed a weak negative correlation with total cholesterol (r=-0.440; p=0.007). There was a correlation between triglyceride levels and cholesterol and fatigue levels (r=0.381; p=0.022, r=0.406; p=0.014, respectively).
As a result, it was concluded that individuals with high diet quality were more active. When blood parameters were analyzed, exercise capacity decreased as cholesterol increased. Fatigue was increased as triglycerides increased. Hemoglobin is associated with physical activity level

Kaynakça

  • 1. Yardımcı H, Özçelik AO. Üniversite öğrencilerinin öğün düzenleri ve beslenme eğitiminin beslenme bilgisine etkisi. Beslenme ve Diyet Dergisi. 2015;43(1):19-26.
  • 2. Kirbaş ZÖ, Bayraktar B, Aktaş EÖ. Salivary Apelin Hormone Response and Dysfunctional Attitudes in Adolescents in Turkey: A Relational Screening Model. BMC Psychol. 2024;12(1):17. doi:10.1186/s40359-024-01551-w.
  • 3. Befort CK. Fruit, vegetable, and fat intake among non-Hispanic black and non-Hispanic white adolescents: associations with home availability and food consumption settings. J Am Diet Assoc. 2006;106(3):367-373. Available from: https://pubmed.ncbi.nlm.nih.gov/16503225/.
  • 4. Schneider BD. How do tracking and changes in dietary pattern during adolescence relate to the amount of body fat in early adulthood? PLoS One. 2016;11(2)
  • 5. Fox K. Physical activity and obesity. Obes Rev. 2007;8(1):115-121.
  • 6. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3-9.
  • 7. Baddou IE. Objectively measured physical activity and sedentary time among children and adolescents in Morocco: a cross-sectional study. Biomed Res Int. 2018.
  • 8. Dalgas US. Relations between 6 minute walking distance and 10 meter walking speed in patients with multiple sclerosis and stroke. Arch Phys Med Rehabil. 2012;93(7):1167-1172.
  • 9. Çiçek G. The effects of different exercise types on hematological parameters in sedentary women. J Educ Train Stud. 2018;6(8):96-101.
  • 10. Kim S., Haines PS., Siega-Riz AM., Popkin BM. (2003). The Diet Quality Index International (DQI-I) provides an effective tool for cross-national comparison of diet quality as illustrated by China and the United States. Journal of Nutrition. 133(34):76-84.
  • 11. Godin G. Godin leisure time exercise questionnaire. Official Journal of the American College of Sports Medicine. 1985;141-146.
  • 12. Yerlisu Lapa T. Serbest zaman egzersiz anketinin Türkçe geçerlik güvenirlik çalışması. 2. Uluslararası Spor Bilimleri, Turizm ve Rekreasyon Öğrenci Kongresi; 2015 May; Afyon.
  • 13. McDonald CM. The 6 minute walk test as a new outcome measure in Duchenne muscular dystrophy. Muscle Nerve. 2010;41(4):500-510.
  • 14. Borg GA. Psychophysical bases of perceived exertion. Medicine and Science in Sports and Exercise, 1982; 14, 377-381.
  • 15. Mukaka MM. Statistics corner: a guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012;24(3):69-71.
  • 16. Pengpid S, Peltzer K, Kassean HK, Tsala Tsala JP, Sychareun V, Müller-Riemenschneider F. Physical inactivity and associated factors among university students in 23 low-, middle-, and high-income countries. Int J Public Health. 2015;60:539–549. doi:10.1007/s00038-015-0680-0.
  • 17. Sotos-Prieto MB. Changes in diet quality scores and risk of cardiovascular disease among US men and women. Circulation. 2015;132:2212–2219.
  • 18. Hiza HC. Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level. J Acad Nutr Diet. 2013;113:297–306.
  • 19. Lipsky LN. Diet quality of US adolescents during the transition to adulthood: changes and predictors. Am J Clin Nutr. 2017;105:1424–1432.
  • 20. Popkin BZ-R. Who is leading the change? U.S. dietary quality comparison between 1965 and 1996. Am J Prev Med. 2003;25:1–8.
  • 21. Wang DL. Trends in dietary quality among adults in the United States, 1999 through 2010. JAMA Intern Med. 2014;174:1587–1595.
  • 22. Rehm CP. Dietary intake among US adults, 1999–2012. JAMA. 2016;315:2542–2553.
  • 23. Kumar NS. Comparison of physical fitness between tobacco chewer and non-tobacco chewer. Saudi J Sports Med. 2015;15(2):137-141.
  • 24. Teo PNF. Lifestyle practices and obesity in Malaysian adolescents. Int J Environ Res Public Health. 2014;11(6):5828-38.
  • 25. Xu ZS. Diet quality, change in diet quality, and risk of incident CVD and diabetes. Public Health Nutr. 2020;23(2):329-338.
  • 26. Livingstone KM. Association between diet quality, dietary patterns, and cardiometabolic health in Australian adults: a cross-sectional study. Nutr J. 2018;17(1):19.
  • 27. Arabshahi SL. Longitudinal change in diet quality in Australian adults varies by demographic, socio-economic, and lifestyle characteristics. J Nutr. 2011;141:1871–9.
  • 28. Arslan SA. Üniversite öğrencilerinin beslenme ve fiziksel aktivite alışkanlıklarının belirlenmesi. TAF Preventive Medicine Bulletin. 2016;15(3):171-180.
  • 29. Corona LP, Andrade FCD, da Silva Alexandre T, de Brito TRP, Nunes DP, de Oliveira Duarte YA. Higher hemoglobin levels are associated with better physical performance among older adults without anemia: a longitudinal analysis. BMC Geriatr. 2022;22(1):233. doi:10.1186/s12877-022-02937-4. PMID: 35313814; PMCID: PMC8939094.
  • 30. Savcı S, Öztürk M, Arıkan H, İnce D, Tokgözoğlu L. Physical activity levels of university students. Arch Turk Soc Cardiol. 2006;34:166-172.
  • 31. Nelson MC-S. Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity. 2008;16(10):2205.
  • 32. Guo SS. Body mass index during childhood, adolescence, and young adulthood in relation to adult overweight and adiposity: the Fels Longitudinal Study. Int J Obes. 2000;24(12):1628-1635.
  • 33. Zagarins SR-J. Established diet quality indices are not universally associated with body composition in young adult women. Public Health Nutr. 2021;24(9):2465-2472.
  • 34. Woglom CG. Significant relationships exist between perceived and objective diet quality in young adults. J Acad Nutr Diet. 2020;120(1):103–110.
  • 35. İri R, Ersoy A, İri R. Yürüyüş egzersizinin bayanların aerobik kapasitelerine ve bazı kan değerlerine etkisi. Uluslararası İnsan Bilimleri Dergisi. 2010;7(2):505-514.

SAĞLIKLI OLGULARDA DİYET KALİTESİ İLE KAN PARAMETRELERİ, FİZİKSEL AKTİVİTE DÜZEYİ VE EGZERSİZ KAPASİTESİ İLİŞKİSİNİN DEĞERLENDİRİLMESİ

Yıl 2025, Cilt: 11 Sayı: 1, 613 - 632, 30.08.2025

Öz

Çalışmanın amacı, sağlıklı kadın bireylerde diyet kalitesi ile kan parametreleri, fiziksel aktivite düzeyi ve egzersiz kapasitesi arasındaki ilişkilerin değerlendirilmesidir.
Çalışmaya 18-26 yaş aralığında 36 gönüllü dahil edildi. Katılımcıların demografik verileri, kan test sonuçları, besin tüketim verileri, diyet kalite indeksi kaydedildi. Aktivite düzeyleri serbest zaman egzersiz ölçeği ve egzersiz kapasiteleri 6 dakika yürüme testi ile ölçüldü, oksijen satürasyonu ve kalp hızları kaydedildi. Yorgunluk düzeyi için Borg skalası ile kullanıldı.
Katılımcıların yaş ortalaması 20,55±1,20 yıl, vücut kütle indeksi ortalaması ise 21,55±3,99 kg/m2 dir. Katılımcıların 26’sı diyet kalite skoru düşük olup 10’u yüksek diyet kalitesine sahiptir. Diyet kalitesi yönünden incelendiğinde aktivite düzeyi ve 6 dakika yürüme testi son kalp hızı ölçümünde anlamlı düzeyde farklılık vardır (sırayla p=0,017; p=0,009). Ayrıca düşük diyet kalitesine sahip bireyler orta düzeyde aktif iken yüksek diyet kalitesine sahip bireyler daha aktif olduğu bulunmuştur (p=0,025). Egzersiz kapasitesi, total kolesterol ile negatif yönlü zayıf ilişki göstermektedir (r=-0,440; p=0,007). Trigliserid düzeyi ile kolesterol ve yorgunluk düzeyi arasında ilişki bulunmuştur (sırasıyla r=0,381, p=0,022; r=0,406, p=0,014). Sonuç olarak, iyi diyet kalitesine sahip bireylerin daha aktif olduğu sonucuna varılmıştır. Kan parametrelerine bakıldığında kişide kolesterol yükseldikçe egzersiz kapasitesi düşmektedir. Trigliserid arttıkça yorgunluk artmaktadır. Hemoglobin, fiziksel aktivite düzeyi ile ilişkilidir.

Etik Beyan

Çalışma için İstanbul Rumeli Üniversitesi Etik Kurulundan 27.09.2022 tarihli 2022-08 sayılı toplantı 06 No’lu karar ile izin alındı.

Destekleyen Kurum

Bulunmuyor.

Teşekkür

Bulunmuyor

Kaynakça

  • 1. Yardımcı H, Özçelik AO. Üniversite öğrencilerinin öğün düzenleri ve beslenme eğitiminin beslenme bilgisine etkisi. Beslenme ve Diyet Dergisi. 2015;43(1):19-26.
  • 2. Kirbaş ZÖ, Bayraktar B, Aktaş EÖ. Salivary Apelin Hormone Response and Dysfunctional Attitudes in Adolescents in Turkey: A Relational Screening Model. BMC Psychol. 2024;12(1):17. doi:10.1186/s40359-024-01551-w.
  • 3. Befort CK. Fruit, vegetable, and fat intake among non-Hispanic black and non-Hispanic white adolescents: associations with home availability and food consumption settings. J Am Diet Assoc. 2006;106(3):367-373. Available from: https://pubmed.ncbi.nlm.nih.gov/16503225/.
  • 4. Schneider BD. How do tracking and changes in dietary pattern during adolescence relate to the amount of body fat in early adulthood? PLoS One. 2016;11(2)
  • 5. Fox K. Physical activity and obesity. Obes Rev. 2007;8(1):115-121.
  • 6. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3-9.
  • 7. Baddou IE. Objectively measured physical activity and sedentary time among children and adolescents in Morocco: a cross-sectional study. Biomed Res Int. 2018.
  • 8. Dalgas US. Relations between 6 minute walking distance and 10 meter walking speed in patients with multiple sclerosis and stroke. Arch Phys Med Rehabil. 2012;93(7):1167-1172.
  • 9. Çiçek G. The effects of different exercise types on hematological parameters in sedentary women. J Educ Train Stud. 2018;6(8):96-101.
  • 10. Kim S., Haines PS., Siega-Riz AM., Popkin BM. (2003). The Diet Quality Index International (DQI-I) provides an effective tool for cross-national comparison of diet quality as illustrated by China and the United States. Journal of Nutrition. 133(34):76-84.
  • 11. Godin G. Godin leisure time exercise questionnaire. Official Journal of the American College of Sports Medicine. 1985;141-146.
  • 12. Yerlisu Lapa T. Serbest zaman egzersiz anketinin Türkçe geçerlik güvenirlik çalışması. 2. Uluslararası Spor Bilimleri, Turizm ve Rekreasyon Öğrenci Kongresi; 2015 May; Afyon.
  • 13. McDonald CM. The 6 minute walk test as a new outcome measure in Duchenne muscular dystrophy. Muscle Nerve. 2010;41(4):500-510.
  • 14. Borg GA. Psychophysical bases of perceived exertion. Medicine and Science in Sports and Exercise, 1982; 14, 377-381.
  • 15. Mukaka MM. Statistics corner: a guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012;24(3):69-71.
  • 16. Pengpid S, Peltzer K, Kassean HK, Tsala Tsala JP, Sychareun V, Müller-Riemenschneider F. Physical inactivity and associated factors among university students in 23 low-, middle-, and high-income countries. Int J Public Health. 2015;60:539–549. doi:10.1007/s00038-015-0680-0.
  • 17. Sotos-Prieto MB. Changes in diet quality scores and risk of cardiovascular disease among US men and women. Circulation. 2015;132:2212–2219.
  • 18. Hiza HC. Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level. J Acad Nutr Diet. 2013;113:297–306.
  • 19. Lipsky LN. Diet quality of US adolescents during the transition to adulthood: changes and predictors. Am J Clin Nutr. 2017;105:1424–1432.
  • 20. Popkin BZ-R. Who is leading the change? U.S. dietary quality comparison between 1965 and 1996. Am J Prev Med. 2003;25:1–8.
  • 21. Wang DL. Trends in dietary quality among adults in the United States, 1999 through 2010. JAMA Intern Med. 2014;174:1587–1595.
  • 22. Rehm CP. Dietary intake among US adults, 1999–2012. JAMA. 2016;315:2542–2553.
  • 23. Kumar NS. Comparison of physical fitness between tobacco chewer and non-tobacco chewer. Saudi J Sports Med. 2015;15(2):137-141.
  • 24. Teo PNF. Lifestyle practices and obesity in Malaysian adolescents. Int J Environ Res Public Health. 2014;11(6):5828-38.
  • 25. Xu ZS. Diet quality, change in diet quality, and risk of incident CVD and diabetes. Public Health Nutr. 2020;23(2):329-338.
  • 26. Livingstone KM. Association between diet quality, dietary patterns, and cardiometabolic health in Australian adults: a cross-sectional study. Nutr J. 2018;17(1):19.
  • 27. Arabshahi SL. Longitudinal change in diet quality in Australian adults varies by demographic, socio-economic, and lifestyle characteristics. J Nutr. 2011;141:1871–9.
  • 28. Arslan SA. Üniversite öğrencilerinin beslenme ve fiziksel aktivite alışkanlıklarının belirlenmesi. TAF Preventive Medicine Bulletin. 2016;15(3):171-180.
  • 29. Corona LP, Andrade FCD, da Silva Alexandre T, de Brito TRP, Nunes DP, de Oliveira Duarte YA. Higher hemoglobin levels are associated with better physical performance among older adults without anemia: a longitudinal analysis. BMC Geriatr. 2022;22(1):233. doi:10.1186/s12877-022-02937-4. PMID: 35313814; PMCID: PMC8939094.
  • 30. Savcı S, Öztürk M, Arıkan H, İnce D, Tokgözoğlu L. Physical activity levels of university students. Arch Turk Soc Cardiol. 2006;34:166-172.
  • 31. Nelson MC-S. Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity. 2008;16(10):2205.
  • 32. Guo SS. Body mass index during childhood, adolescence, and young adulthood in relation to adult overweight and adiposity: the Fels Longitudinal Study. Int J Obes. 2000;24(12):1628-1635.
  • 33. Zagarins SR-J. Established diet quality indices are not universally associated with body composition in young adult women. Public Health Nutr. 2021;24(9):2465-2472.
  • 34. Woglom CG. Significant relationships exist between perceived and objective diet quality in young adults. J Acad Nutr Diet. 2020;120(1):103–110.
  • 35. İri R, Ersoy A, İri R. Yürüyüş egzersizinin bayanların aerobik kapasitelerine ve bazı kan değerlerine etkisi. Uluslararası İnsan Bilimleri Dergisi. 2010;7(2):505-514.
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Beslenme Bilimi, Beslenme ve Diyetetik (Diğer), Sağlık Hizmetleri ve Sistemleri (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Özden Baskan 0000-0002-1549-4838

Zeynep Güler Yenipınar 0000-0002-0470-3171

Sanem Güven 0000-0001-8096-8748

Şeref Duhan Altuğ 0000-0002-0065-0068

Erken Görünüm Tarihi 26 Ağustos 2025
Yayımlanma Tarihi 30 Ağustos 2025
Gönderilme Tarihi 27 Ocak 2025
Kabul Tarihi 7 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 11 Sayı: 1

Kaynak Göster

APA Baskan, Ö., Yenipınar, Z. G., Güven, S., Altuğ, Ş. D. (2025). SAĞLIKLI OLGULARDA DİYET KALİTESİ İLE KAN PARAMETRELERİ, FİZİKSEL AKTİVİTE DÜZEYİ VE EGZERSİZ KAPASİTESİ İLİŞKİSİNİN DEĞERLENDİRİLMESİ. International Anatolia Academic Online Journal Health Sciences, 11(1), 613-632.

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