جستجوی مقالات مرتبط با کلیدواژه « active elderly » در نشریات گروه « پزشکی »

Coronary heart disease (CHD) is an important medical disorder and one of the most common heart diseases worldwide, which causes disability and economic burden. The medical and research community is increasingly interested in computer-aided coronary heart disease diagnosis through the use of machine learning methods. This study aimed to diagnose coronary heart disease using a discriminant analysis algorithm in active elderly men.

This analytical study was conducted on 351 patients of Ayatollah Kashani Hospital in Tehran. This work used discriminant analysis algorithm to diagnose coronary artery disease. Python software was used for data analysis.

The results showed that by using 14 characteristics as risk factors related to the subjects' laboratory, personal and lifestyle information. The discriminant analysis algorithm could distinguish healthy and sick people with 94.4% accuracy and 88.9% precision.

The results of the present study showed that this system can probably be used as an effective and intelligent method along with other diagnostic methods by cardiologists to predict coronary artery disease. Also, new data mining methods can be effective in reducing invasive risks.

With aging, muscle strength decreases, and older people try to stay healthy as much as possible while maintaining their independence. Regular exercise is needed to control and delay the negative effects of aging. This study aims to investigate the effect of a combined exercise program on balance and respiratory fitness of active older men.

In this quasi-experimental study, 40 active older men (Mean age= 62±12.74 years) participated who were selected by a convenience sampling method and randomly assigned into control and exercise groups. Their balance and respiratory readiness were measured using a static balance gauge and spirometry test, respectively before and after the intervention. The exercise group participated in combined exercise program (aerobic, resistance, and balance exercises) for eight weeks, three sessions per week, each for 60 minutes. The control group continued to perform their daily activities during this period. Data analysis was performed in SPSS software version 22 using paired t-test and independent t-test. The significance level was set at 0.05.

The combined exercise program had a significant effect on improving static balance in both groups (P=0.002), but not on forced vital capacity (P>0.05). Regarding the forced expiratory volume over 1 second, its effect was significant only in the exercise group (P<0.05).

It seems that the combined exercise program can improve static balance and respiratory fitness of older men. It is suggested that the older men use this combined exercise program to increase their balance and respiratory fitness.

Different personality factors and active life can be impacted directly on the life style and behavior of older people. Then the aim of present study was comparing impulsivity and personality factors in active and non-active elderlies.
This was a causal-comparative research with descriptive -correlational method with correlational design. The populations of the study were included 90 elderlies in Tabriz at 2012 who were selected by random stratified sampling method and assessed through main five factors personality questionnaire (NEO) and Barrat impulsivity Scale. Because of Incomplete filling questionnaire 80 questioners were collected (40 active and 40 non-active elders). To analyze of data, independent t-tests, ANOVA and Pearson correlation coefficient and SPSS software version 19 was used.
Findings: Based on the results, a significant difference was observed between active and non-active elderly men of openness (p=0.013). Also, a statistically significant difference was found among the elderly active and non-active personality factors. There was the direct relationship between impulsivity variables with Neuroticism (r=0.393, p=0.02) and a significant negative correlation with extraversion (r=-0.320, p=0.013), agreeableness (r=-0.598, p=0.001) and conscientiousness (r=-0/684, p=0.01). Impulsivity factors such as impulsivity, lack of program elements (r=0.272, p=0.037) and impulsivity (r=0.320, p=0.013) and cognitive impulsivity (r=0.386, p=0.003) had direct and significant relationship with Neuroticism and extraversion (r=-0.317, p=0.014) agreeableness (r=-0.447, p=0.001) and conscientiousness (r=-0528, p=0.001) showed a significant inverse relationship.
Discussion and There werent differences between subscales of impulsivity and personality factors (except openness) in active and inactive elderly men. However there was a relationship between impulsivity and some of personality factors that can be influenced by several factors, including the physical activity.