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EN
Background: To assess physical activity using the Global Physical Activity Questionnaire (GPAQ) among healthy, overweight and obese Indian health professionals.Material/Methods: The Global Physical Activity Questionnaire (GPAQ) was used to assess physical activity among 324 dental health care professionals (third-year students, final-year students, interns, and faculty). Metabolic Equivalents (MET) were used to express the intensity of physical activities, and are also used for the analysis of GPAQ data. The analysis of Variance (ANOVA) was used to compare the mean physical activity scores among dental health care professionals. The Chi Square test was used to compare categorical risk indicators and obesity (BMI). Kendall's test was used to compute the correlation between physical activity categorical indicator (CI), obesity and sedentary behaviour. The logistic regression analysis was performed to determine the importance of the factors associated with obesity. Odds ratio was calculated for all variables with 95% confidence intervals.Results: Total physical activity measured in mean MET minutes per week was 625.6, 786.3, 296.5, and 296.5 for third-year students, final-year students, interns, and faculty respectively (p ≤ 0.05). Total energy expenditure of 0 MET minutes per week was calculated as 32.2%, 10.3%, 17.9% and 44.9% of third-year students, final-year students, interns, and faculty, respectively. Of the 211 health care professionals in high risk group 28.9% were in the third year, 19.9% in the final year, 20.4% were interns and 30.8% were faculty members. Obesity was calculated in 22.4% third-year students, 16.3% final-year students, 20.4% interns and 40.8% of faculty members. Overweight problems were seen in 19.7%, 24.7%, 24.7% and 30.8% of third-year students, final-year students, interns, and faculty members respectively (p ≤ 0.001).Conclusions: A significant correlation was seen between physical activity categorical indicator and BMI. A significant negative correlation was noted between physical activity categorical indicator and sedentary behaviour. A significant correlation was also noted between BMI and sedentary behavior. Physical activity is a positive health behavior with so much potential to improve public health and so few risks that it deserves to be central to any future public health strategy.
EN
The aim of this study was to examine the physical activity during the break-times of primary school children in rural areas, and its relationship with age and sex. 380 children (192 boys and 188 girls; age=9.5±1.1 years) participated in the study. Break-time physical activity in the morning and lunch breaks was measured by accelerometry. An ANOVA was used to determine differences by sex in each age group, together with the respective confidence intervals and effect sizes. The results showed that 8-year-olds performed more physical exercise than 11-year-olds during the two breaks (p=0.005). For the boys, the 8-year-olds did more physical activity than the 10-year-olds, while, for the girls, those aged 8 and 9 years did more PA than girls aged 11 years (p<0.001). The only difference between boys and girls was for the 10-year-olds (p=0.043), with the boys doing more physical activity. Teachers might find it useful to take these findings into account to design physical activity programmes aimed at increasing the playground physical activity of older children.
EN
Purpose. Sedentary behavior has been identified as a risk factor for chronic non-communicable diseases. This study identified the prevalence of excessive TV viewing time during the week and weekend and associated factors in adolescents living in a small urban and rural area. Methods. A cross-sectional study involving 283 students (aged 10-19 years) from Brazil was conducted in 2010. Data on TV viewing time and sociodemographic information were collected by questionnaires, cardiorespiratory fitness was evaluated by the 20-m shuttle run test, and anthropometric characteristics were obtained by measuring waist circumference and skinfold thickness. Statistical analysis involved binary logistic regression. Results. The prevalence of excessive TV viewing time ( 2 h) was 76.7% during on weekdays and 78.4% on the weekend. Adolescents aged 10-12 years (OR = 6.20; 95% CI = 2.91, 13.19; p < 0.001) and 13-15 years (OR = 2.57; 95% CI = 1.28, 5.18; p = 0.008) were more exposed to excessive TV viewing time during the week. No associations were found for excessive TV viewing time on the weekend. Conclusions. Approximately 8 in 10 adolescents presented excessive TV viewing time; excessive TV viewing time during the week was associated with age.
EN
The aim of the study is to assess the physical leisure time activity among the students of grade I–III of junior high school (aged 13–16) – during the school year and holidays – and identify possible causal factors of physical inactivity in this social group. The relationship between participation in sport for all during the school year (regular, periodic, sporadic) and during holidays (physically active/passive) and socio-demographic variables characterizing the structure was analyzed using the Chi 2 test. The relationship between respondents inactivity and those traits was assessed using log-linear analysis. The higher the grade (especially among girls), the more physically inactive individuals, the number of which grew during the school year as well as during holidays. The risk factors for inactivity included high BMI, living in the countryside and female sex. In case of girls (76.3%) the risk of inactivity increased by almost 1.4 times, as it did (OR = 0.75) with regard to living in rural areas (76.4%). The chance of being active increases more than 3-fold among those with normal BMI (28.0%) and the underweight (29.9%). Adolescents’ inactivity (increasing along with the grade pupils are in) points to the shortcomings of Polish process of education and an urgent need for system-based approach to promote active lifestyle in this social group.
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