scholarly journals Investigation of the Relationship between Body Mass Index and Physical Fitness in Older Women

2020 ◽  
Vol 8 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Mehmet Şirin GÜLER ◽  
Selami YÜKSEK ◽  
Ömercan GÖKSU
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Older Women ◽  
Body Mass ◽  
The Relationship

scholarly journals Physical Fitness, Grit, School Attendance, and Academic Performance among Adolescents

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Jonathan M. Cosgrove ◽  
Yen T. Chen ◽  
Darla M. Castelli
Keyword(s):  
Body Mass Index ◽  
Academic Performance ◽  
Academic Success ◽  
Physical Fitness ◽  
Body Mass ◽  
Cardiovascular Health ◽  
School Attendance ◽  
Urban Minority ◽  
Relationship Of ◽  
The Relationship

Objective. The purpose of this study was to examine the relationship of grit as a construct representing perseverance to overcoming barriers and the total number of school absences to academic performance (AP) while controlling for sociodemographics, fitness (i.e., PACER), and Body Mass Index (BMI). Methods. Adolescents (N = 397, SD = 1.85; 80.9% females; 77.1% Hispanic) from an urban, minority-majority city in the Southern United States completed the FitnessGram® assessment of physical fitness (e.g., aerobic capacity and Body Mass Index (BMI)) and the valid and reliable short grit survey. The schools provided sociodemographics, attendance, and AP data for the adolescents. Results. Adolescents with higher grit scores (rs=0.21, P < 0.001) and less total absences (rs=-0.35, P < 0.001) performed better on AP. Hierarchical multiple regression indicated that grit and absences were associated with AP (β = 0.13, P < 0.01 and β = −0.35, P < 0.001, resp.). Conclusions. Grit and a total number of absences are significant contributors to academic success, particularly among Hispanic adolescents. Further, grit and school attendance may serve as a better measure of protective factors over proximal health measures of cardiovascular health and BMI.

scholarly journals HUBUNGAN STATUS GIZI DAN AKTIVITAS FISIK DENGAN KEBUGARAN JASMANI REMAJA

2018 ◽  
Vol 2 (2) ◽  
pp. 133-142
Author(s):  
Ihda Nur Kasyifa ◽  
Mohammad Zen Rahfiludin ◽  
Suroto Suroto
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Research Method ◽  
Statistic Analysis ◽  
Cross Sectional ◽  
Tenth Graders ◽  
Kolmogorov Smirnov ◽  
The Relationship

Physical fitness is one of the most important things especially for teens due to their highactivities. Factors that affect physical fitness such as physical activity and BMI/Age. This study aimsto find out the relationship between body mass index based on age (BMI/Age) and physical activitywith physical fitness of SMKN Jawa Tengah Semarang students. This study use quantitative approachwith cross sectional research method. Population used in this study are 118 tenth graders and thesampel are 55 students. Statistic analysis in this study use Kolmogorov-Smirnov and Rank Spearmantest. The result shows that most of 16-year-olds participants are 39 students (70,9%) and 45 studentsare male. Fourty nine students (81,8%) have normal BMI/Age which 28 participants have kind ofheavy activities and the physical fitness of 31 participants count as good categoy. This study showthere is no relationship between IMT/U with physical fitness (p = 0,252 and r = 0,160) and there isa relationship between physical activity with physical fitness (p = 0,003 and r = 0,391).

The Relationship Between Physical Fitness, Urine Iodine Status, and Body-Mass Index in 6- to 7-year-old Polish Children

2011 ◽  
Vol 21 (4) ◽  
pp. 318-327 ◽  
Author(s):  
Sylwia Merkiel ◽  
Wojciech Chalcarz
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Body Height ◽  
Urinary Iodine ◽  
Physical Fitness Test ◽  
Iodine Status ◽  
Fitness Test ◽  
The Relationship ◽  
Urine Iodine

The aim of this study was to assess physical fitness in 6- to 7-yr-old children and determine if there is any relationship between children’s physical fitness, their urine iodine status, and their body-mass index (BMI). The studied population included 121 children from southern Poland. Physical fitness was measured using a physical fitness test for children age 3–7 yr. Urinary iodine concentrations were measured in the children’s first urine output on waking using the modified PAMM (Program Against Micronutrient Malnutrition) method. Body height and weight were measured and BMI was calculated. The subjects were characterized by low physical fitness. Boys obtained better results in agility, power, and strength exercises (p ≤ .05). In girls, 11 correlation coefficients between the scores obtained in the physical fitness test, urinary iodine, and anthropometric measures were statistically significant, and in boys, only 2. BMI correlated positively with agility in girls and with strength in girls and boys. Our study revealed low physical fitness in Polish 6- to 7-yr-old children, which shows the need to implement programs aimed at increasing their physical activity. The relationship found between physical fitness and urine iodine status in girls indicates that future research in this area is needed.

scholarly journals Capacidad aeróbica y su relación con parámetros de la condición física saludable en escolares

2015 ◽  
Vol 2 (2) ◽  
pp. 90
Author(s):  
Andrés Rosa Guillamón ◽  
Eliseo García-Cantó ◽  
Juan José Pérez Soto ◽  
Pedro Luís Rodríguez García
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Aerobic Capacity ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
Maximum Oxygen Consumption ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
The Relationship

Background and objective: The aim of this study was to analyze the relationship between aerobic capacity and other parameters determining fitness in primary school. Methods: A cross-sectional descriptive study, 298 schoolchildren (139 males and 159 females) aged 8-12. Body composition (weight and height) and physical fitness (capacity, motor aerobic and musculoskeletal) was assessed by ALPHA-Fitness battery. Aerobic capacity and body mass index (under/normal-weight and overweight/obesity) were categorized using standard criteria. The variable motor / muscle overall capacity was calculated, and the maximum oxygen consumption (VO2max) was indirectly estimated.  Results: The analysis of covariance (ANCOVA) found that men have better values in the test 4x10m (p <0.001), longitudinal jump (p <0.001), Course-Navette (p <0.001) and in VO2max (p <0.001). The ANOVA test showed that schoolchildren with better aerobic capacity have lower weight and body mass index (p <0.001 for both), better performance in the test longitudinal jump (p <0.001) and better overall motor / muscle capacity, and increased VO2max (p <0.001 for both). Conclusion: The results of this study suggest that schoolchildren with healthy cardiorespiratory fitness had better physical fitness and are more likely to have healthy anthropometric parameters.

Body Mass Index And Association Of Psychological Stress With Exercise Performance In Military Members: The Cardiorespiratory Fitness And Hospitalization Events In Armed Forces (CHIEF) Study

2021 ◽  
Vol 21 ◽  
Author(s):  
Ko-Huan Lin ◽  
Fang-Ying Su ◽  
Szu-Nian Yang ◽  
Ming-Wei Liu ◽  
Chung-Cheng Kao ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Psychological Stress ◽  
Body Mass ◽  
Exercise Performance ◽  
Rating Scale ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
The Impact ◽  
The Relationship

Aims: To investigate the influence of body mass index (BMI) on the association between psychological stress and physical fitness. Background: Both obesity and psychological stress reduce exercise performance. Objective: It is unknown whether obesity may modify the relationship. Background: Both obesity and psychological stress reduce exercise performance. Objective: It is unknown whether obesity may modify the relationship. Methods: A population of 4,080 military subjects in Taiwan was divided to three groups according to the BMI ≥27.0 kg/m2 (obesity), 24.0-26.9 kg/m2 (overweight) and 18.5-23.9 kg/m2 (normal weight). Normal, slight, and great psychological stress was evaluated by the Brief Symptoms Rating Scale (BSRS-5) score ≤5, 6-9, and ≥10, respectively. Aerobic and anaerobic fitness were respectively evaluated by time for a 3000-meter run and numbers of 2-minute sit-ups and 2-minute push-ups. Analysis of covariance (ANCOVA) with adjustments for age and sex was used to determine the relationship. Results: The mean time (sec) for a 3000-meter run (standard error) under slight and great stress differed from that under normal stress in the normal weight (881.0 (11.0) and 877.9 (5.8) vs. 862.2 (1.7), p=0.089 and 0.0088, respectively) and in the obesity (928.1 (16.8) and 921.8 (10.7) vs. 895.2 (1.6), p=0.054 and 0.016, respectively), while the differences were not significant in the overweight (877.1 (12.7) and 877.5 (7.1) vs. 867.1 (2.1), both p >0.5). The impacts of the BMI on 2-minute sit-ups had a similar pattern with that on a 3000-meter run whereas the impact of the BMI on 2-minute push-ups was insignificant. Conclusions: Mental stress may not affect physical fitness in overweight military personnel. The mechanism is not clear and should be further investigated.

scholarly journals Relationship between Sex, Age, Body Mass Index, and Physical Fitness with Elderly Participation

2021 ◽  
Vol 10 (1) ◽  
pp. 5-10
Author(s):  
Septian Williyanto ◽  
Nurlan Kusmaedi ◽  
Sumardiyanto Sumardiyanto ◽  
Wildan Alfia Nugroho
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Research Method ◽  
The Elderly ◽  
Active Participation ◽  
A Value ◽  
The Relationship

The purpose of this study was to reveal the relationship between sex, age, body mass index and physical fitness with the level of active participation of the elderly in development. The research method used is descriptive correlational. Samples were taken from the sports association of the elderly who live in the Pasir Layung Village of Bandung City as many as 30 people. The results showed that there was a sex relationship to TPA with a percentage of 58.5% for male and 41.5% for female, the relationship between age and TPA with a Sig. 0.000 <Sig a with r = -0.637, the relationship between BMI and TPA is the Sig. 0,000 <Sig. a with a value of r = -0.826, and the relationship between physical fitness and TPA with the Sig. 0,000 <Sig. a with a value of r = 0.857. The conclusion of this study is that there is a relationship between sex, age, body mass index and physical fitness with the level of active participation of the elderly in development.

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