• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 3
  • 1
  • Tagged with
  • 4
  • 4
  • 4
  • 4
  • 3
  • 3
  • 3
  • 3
  • 3
  • 3
  • 3
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Insulin resistance, physical activity and physical fitness in adults residing in a northern suburb of Cape Town

Bartels, Clare January 2011 (has links)
<p>Insulin resistance has shown to be a precursor to a number of lifestylerelated chronic diseases and abnormalities in adults and is affected by a number of factors including genetics, age, physical activity and acute exercise, diet, obesity, body fat distribution and medication. Physical activity has shown to have marked effects on improving sensitivity to insulin though various physiological mechanisms, and numerous correlation studies have identified a relationship between these two variables, suggesting the beneficial role of exercise on insulin resistance.&nbsp / This study aimed to identify a relationship between current levels of physical activity, physical fitness and insulin resistance in adults between the ages of 35 and 65 years of age residing in a northern suburb community in Cape Town. A total of 186 volunteers participated in this study ranging from healthy individuals to those with diagnosed chronic conditions. Insulin resistance (determined by the homeostasis model assessment of insulin resistance), physical activity (measured by the Global Physical Activity Questionnaire) and five health-related physical fitness tests were measured. The five components included body composition, determined by body mass index and waist circumference, the 3-minute cardiorespiratory step test, the handgrip&nbsp / muscle strength test, one-minute crunches for muscle endurance and the sit-and-reach flexibility test. Spearman correlation was used to identify the relationships between the homeostasis model assessment of insulin resistance, age, body composition and physical activity and fitness.Results showed that body mass index and waist circumference were the only two variables which produced significant correlations with the homeostasis model assessment of insulin resistance (p &lt / 0.019). No physical activity or fitness data produced significant scores with the homeostasis model assessment of insulin resistance. Body mass index in men was the only significant predictor of HOMA-IR and explained 37% of the variance in insulin resistance, whereas in women, only waist circumference was related to HOMA-IR, but explained less than 16% of the variance. Associations between reported MET-minutes from the Global Physical Activity Questionnaire and the four fitness tests indicated significance with handgrip strength (&rho / = 0.17 / p =0.039), one-minute crunches (&rho / = 0.18 / p = 0.024) and sit-and-reach flexibility (&rho / = 0.17 / 0.034). This study has shown that body composition is an important component in influencing insulin resistance therefore physical activity interventions should be targeted at increasing physical activity levels and reducing body weight.</p>
2

Insulin resistance, physical activity and physical fitness in adults residing in a northern suburb of Cape Town

Bartels, Clare January 2011 (has links)
<p>Insulin resistance has shown to be a precursor to a number of lifestylerelated chronic diseases and abnormalities in adults and is affected by a number of factors including genetics, age, physical activity and acute exercise, diet, obesity, body fat distribution and medication. Physical activity has shown to have marked effects on improving sensitivity to insulin though various physiological mechanisms, and numerous correlation studies have identified a relationship between these two variables, suggesting the beneficial role of exercise on insulin resistance.&nbsp / This study aimed to identify a relationship between current levels of physical activity, physical fitness and insulin resistance in adults between the ages of 35 and 65 years of age residing in a northern suburb community in Cape Town. A total of 186 volunteers participated in this study ranging from healthy individuals to those with diagnosed chronic conditions. Insulin resistance (determined by the homeostasis model assessment of insulin resistance), physical activity (measured by the Global Physical Activity Questionnaire) and five health-related physical fitness tests were measured. The five components included body composition, determined by body mass index and waist circumference, the 3-minute cardiorespiratory step test, the handgrip&nbsp / muscle strength test, one-minute crunches for muscle endurance and the sit-and-reach flexibility test. Spearman correlation was used to identify the relationships between the homeostasis model assessment of insulin resistance, age, body composition and physical activity and fitness.Results showed that body mass index and waist circumference were the only two variables which produced significant correlations with the homeostasis model assessment of insulin resistance (p &lt / 0.019). No physical activity or fitness data produced significant scores with the homeostasis model assessment of insulin resistance. Body mass index in men was the only significant predictor of HOMA-IR and explained 37% of the variance in insulin resistance, whereas in women, only waist circumference was related to HOMA-IR, but explained less than 16% of the variance. Associations between reported MET-minutes from the Global Physical Activity Questionnaire and the four fitness tests indicated significance with handgrip strength (&rho / = 0.17 / p =0.039), one-minute crunches (&rho / = 0.18 / p = 0.024) and sit-and-reach flexibility (&rho / = 0.17 / 0.034). This study has shown that body composition is an important component in influencing insulin resistance therefore physical activity interventions should be targeted at increasing physical activity levels and reducing body weight.</p>
3

Insulin resistance, physical activity and physical fitness in adults residing in a northern suburb of Cape Town

Bartels, Clare January 2011 (has links)
Magister Artium (Sport, Recreation and Exercise Science) - MA(SRES) / Insulin resistance has shown to be a precursor to a number of lifestylerelated chronic diseases and abnormalities in adults and is affected by a number of factors including genetics, age, physical activity and acute exercise, diet, obesity, body fat distribution and medication. Physical activity has shown to have marked effects on improving sensitivity to insulin though various physiological mechanisms, and numerous correlation studies have identified a relationship between these two variables, suggesting the beneficial role of exercise on insulin resistance. This study aimed to identify a relationship between current levels of physical activity, physical fitness and insulin resistance in adults between the ages of 35 and 65 years of age residing in a northern suburb community in Cape Town. A total of 186 volunteers participated in this study ranging from healthy individuals to those with diagnosed chronic conditions. Insulin resistance (determined by the homeostasis model assessment of insulin resistance), physical activity (measured by the Global Physical Activity Questionnaire) and five health-related physical fitness tests were measured. The five components included body composition, determined by body mass index and waist circumference, the 3-minute cardiorespiratory step test, the handgrip muscle strength test, one-minute crunches for muscle endurance and the sit-and-reach flexibility test. Spearman correlation was used to identify the relationships between the homeostasis model assessment of insulin resistance, age, body composition and physical activity and fitness.Results showed that body mass index and waist circumference were the only two variables which produced significant correlations with the homeostasis model assessment of insulin resistance (p < 0.019). No physical activity or fitness data produced significant scores with the homeostasis model assessment of insulin resistance. Body mass index in men was the only significant predictor of HOMA-IR and explained 37% of the variance in insulin resistance, whereas in women, only waist circumference was related to HOMA-IR, but explained less than 16% of the variance. Associations between reported MET-minutes from the Global Physical Activity Questionnaire and the four fitness tests indicated significance with handgrip strength (&rho; = 0.17; p =0.039), one-minute crunches (&rho; = 0.18; p = 0.024) and sit-and-reach flexibility (&rho; = 0.17; 0.034). This study has shown that body composition is an important component in influencing insulin resistance therefore physical activity interventions should be targeted at increasing physical activity levels and reducing body weight. / South Africa
4

Vliv pohybové aktivity na kvalitu života v jednotlivých věkových kategoriích v období pandemie covid-19. / Influence of physical activity on the quality of life in individual age categories during the covid-19 pandemic

Bubínková, Linda January 2021 (has links)
IN ENGLISH The diploma thesis presents physical activity and quality of life. Thesis characterizes these two areas, discusses the influences that affect these two areas and then compares the influence of themselves - or the influence of one of them on the other, the impact of physical activity on the quality of life. The theoretical part presents physical activity as a tool of benefit, a determinant of health, part of an active lifestyle. The quality of life is discussed in a similar way. The practical part examines the influence of physical activity on the quality of life in individual age categories. In addition to the influence of physical activity on the quality of life in general, practical part is also testing the influence of this activity on individual dimensions of quality of life. Two questionnaires - WHO QOL-BREF and GPAQ - are used to determine the values needed for the research.

Page generated in 0.0184 seconds