Background: T his study aimed to evaluate healthy lifestyle behaviors and levels of knowledge of cardiovascular risk factors of individuals with chronic diseases aged 60 and over. Material and methods: T he study was conducted with 362 participants over the age of 60 (female 67.12 ± 5.11 and male 69.38 ± 5.51). The Cardiovascular Disease Risk Factors Knowledge Level (CARRF-KL) Scale and the Healthy Lifestyle Behaviors Scale II (HLBS II) were used in the study. Results: The total mean scores of the participants in CARRF-KL and HLBS II were 16.99 ± 4.69 and 105.17 ± 22.88, respectively. The mean scores of the spiritual development sub-dimensions of HLBS II were the highest, and the mean scores of the physical activity sub-dimensions were the lowest. There was a significant difference (p <0.05; **p <0.01) in CARRF-KL and HLBS II total scores and other sub-dimensions according to gender, marital status, smoking, education, income and chronic disease status. A positive, weak and statistically significant correlation (r = 0.316**, p <0.01) was found between CARRF-KL and HLBS-II. Conclusions: I ncreasing CARRF-KL and the development of HLBS II is thought to be an inevitable necessity for individuals 60 years old and older with a chronic disease to have a healthy lifestyle.
Introduction: Increased adiposity leads to impaired physiologic growth hormone secretion and low and high body mass index (BMI) values increase health risks. However, BMI only measures results in variations in fat-free mass (FFM), fat-free mass index (FFMI), normalized fat-free mass index (NFMI), and body fat mass (BFM). This study evaluated the insulin-like growth factor system responses to the given exercise and their interaction with the changes in BMI, FFM, FFMI, and NFFMI in healthy male participants. Material and methods: A randomized controlled trial with a parallel groups study design was used. Thirty healthy male participants (age: 21.33 ±1.24 years) were divided into three categories: high-intensity incremental (n = 12) and low-intensity constant (n = 12) cycling training groups and control group (n = 6). Training groups performed three times per week throughout eight weeks. VO2max, serum biomarkers, and neuromuscular performance were measured both during baseline and follow-up. Results: The changes in bioavailable IGF were not correlated with BMI (r = –.267), whereas they significantly positively correlated with BFM (r = .321), and inversely significantly correlated with FFM (r = –.472), FFMI (r = –.425), and NFFMI (r = –.379) after 8 weeks of exercise. For relative bioavailable IGF changes, FFM (r2 = 0.17), FFMI (r2 = 0.18), and NFFMI (r2 = 0.14) percent change explained nearly three times the variance as BMI percent change (r2 = 0.07). Conclusions: Increased bioavailable IGF-I suggests an increased anticatabolic effect and inverse interaction with body composition phenotypes following exercise. The partitioning of BMI into FFM, FFMI, and NFFMI rather than relying on sole measures of BMI seem to offer more precise results in the assessment of the interactions between the body composition, neuromuscular performance adjusted with body composition phenotypes, and training-induced changes in insulin-like growth factor system.
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