Comparing thigh muscle cross-sectional area and squat strength among national class Olympic weightlifters, power lifters, and bodybuilders

Few studies have compared anthropometric characteristics among national class athletes from different resistance training disciplines, such as Olympic Weightlifting (OL), Power Lifting (PL), and Bodybuilding (BB). Objective: The purpose of the current study was to determine if significant differences exist in the relationship between thigh muscle cross-sectional area and back squat strength among national class athletes from the sports of OL, PL, and BB. Methods: Fifteen national class athletes were assessed for back squat strength, mid-thigh circumference, and mid-thigh skinfold from which total thigh cross-sectional was estimated. A series of One-Way ANOVAs and Pearson Product Moment Correlations were used to compare groups and assess the relationship between variables. Results: The OL (200.18 + 25.16kg) and PL (205.45 + 17.28kg) groups were significantly stronger than the BB (160 + 16.80 kg; p \u3c 0.05) group. However, mid-thigh skinfold thickness (p = 0.36), mid-thigh circumference (p = 0.87), and estimated thigh cross-sectional area (p = 0.34) were not significantly different between groups. Thigh muscle cross-sectional area was weakly correlated to back squat strength in the OL (r = .42) and PL (r = .12) groups, but moderately correlated in the BB (r = .70) group. Conclusion: Thigh cross-sectional area was of relatively minor importance in determining back squat strength for the OL and PL groups, despite these groups being significantly stronger than the BB group. Specific training protocols will elicit different outcomes with regard to muscular hypertrophy that may or may not contribute to a functional increase in back squat strength

The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics

Brain dynamics have recently been shown to be modulated by rhythmic changes in female sex hormone concentrations across an entire menstrual cycle. However, many questions remain regarding the specific differences in information processing across spacetime between the two main follicular and luteal phases in the menstrual cycle. Using a novel turbulent dynamic framework, we studied whole-brain information processing across spacetime scales (i.e., across long and short distances in the brain) in two open-source, dense-sampled resting-state datasets. A healthy naturally cycling woman in her early twenties was scanned over 30 consecutive days during a naturally occurring menstrual cycle and under a hormonal contraceptive regime. Our results indicated that the luteal phase is characterized by significantly higher information transmission across spatial scales than the follicular phase. Furthermore, we found significant differences in turbulence levels between the two phases in brain regions belonging to the default mode, salience/ventral attention, somatomotor, control, and dorsal attention networks. Finally, we found that changes in estradiol and progesterone concentrations modulate whole-brain turbulent dynamics in long distances. In contrast, we reported no significant differences in information processing measures between the active and placebo phases in the hormonal contraceptive study. Overall, the results demonstrate that the turbulence framework is able to capture differences in whole-brain turbulent dynamics related to ovarian hormones and menstrual cycle stages

Comparing thigh muscle cross-sectional area and squat strength among national class Olympic weightlifters, power lifters, and bodybuilders

Few studies have compared anthropometric characteristics among national class athletes from different resistance training disciplines, such as Olympic Weightlifting (OL), Power Lifting (PL), and Bodybuilding (BB). Objective: The purpose of the current study was to determine if significant differences exist in the relationship between thigh muscle cross-sectional area and back squat strength among national class athletes from the sports of OL, PL, and BB. Methods: Fifteen national class athletes were assessed for back squat strength, mid-thigh circumference, and mid-thigh skinfold from which total thigh cross-sectional was estimated. A series of One-Way ANOVAs and Pearson Product Moment Correlations were used to compare groups and assess the relationship between variables. Results: The OL (200.18 + 25.16kg) and PL (205.45 + 17.28kg) groups were significantly stronger than the BB (160 + 16.80 kg; p \u3c 0.05) group. However, mid-thigh skinfold thickness (p = 0.36), mid-thigh circumference (p = 0.87), and estimated thigh cross-sectional area (p = 0.34) were not significantly different between groups. Thigh muscle cross-sectional area was weakly correlated to back squat strength in the OL (r = .42) and PL (r = .12) groups, but moderately correlated in the BB (r = .70) group. Conclusion: Thigh cross-sectional area was of relatively minor importance in determining back squat strength for the OL and PL groups, despite these groups being significantly stronger than the BB group. Specific training protocols will elicit different outcomes with regard to muscular hypertrophy that may or may not contribute to a functional increase in back squat strength

Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities

Over the past few decades, the population in the urban areas has been increasing in a dramatic manner. Currently, about 80% of the U.S. population and about 50% of the world’s population live in urban areas and the population growth rate for urban areas is estimated to be over one million people per week. By 2050, it has been predicted that 64% of people in the developing nations and 85% of people in the developed world would be living in urban areas [1, 2]. Such a dramatic population growth in urban areas has been placing demands on urban infrastructure like never before