Association between physical fitness, body mass index and intelligence quotient in individuals with intellectual disabilities

Current research shows that individuals with intellectual disabilities do not engage in enough physical activity to acquire health benefits. However, cooperative learning has been shown to be an effective tool for inclusion and for improving healthy physical habits. The aim of this study is to contrast an explanatory model which incorporates quality of life, active time in cooperative activities, body mass index and age, as well as to analyze, using multi-group structural equations, the existing associations according to the sex of subjects with intellectual disabilities. The convenience sampling used allowed the collection of data from a total of 156 subjects in Granada (Spain), aged between 18–55 years. In terms of gender, the sample was homogeneous, representing 52.6% (n = 82) for women and 47.4% (n = 74) for men. The active time during the cooperative learning was recorded with the Xiaomi Mi Band 2 activity band, for the quality of life scale (GENCAT) was used, and the body mass index was calculated through its standardized equation. Age was directly associated with body mass index in both sexes. Likewise, age was positively related to the active time of women. Quality of life was directly associated with active time and body mass index was inversely related to active time. This study shows the importance of active time during work and cooperative learning in individuals with intellectual disabilities, as it is associated with an improvement in the quality of life and a reduction in the problems of sedentarism, overweight, and obesity.

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Parental body mass index and its association with body composition, physical fitness and lifestyle factors in their 4-year-old children: results from the MINISTOP trial

European Journal of Clinical Nutrition ◽

10.1038/ejcn.2017.62 ◽

2017 ◽

Vol 71 (10) ◽

pp. 1200-1205 ◽

Cited By ~ 7

Author(s):

C Cadenas-Sanchez ◽

P Henriksson ◽

H Henriksson ◽

C Delisle Nyström ◽

J Pomeroy ◽

...

Keyword(s):

Body Mass Index ◽

Body Composition ◽

Physical Fitness ◽

Body Mass ◽

Lifestyle Factors

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The Association between Body Mass Index and Physical Fitness among Adolescents

JURNAL PENDIDIKAN JASMANI DAN OLAHRAGA ◽

10.17509/jpjo.v4i1.13758 ◽

2019 ◽

Vol 4 (1) ◽

Author(s):

Muhammad Eka Mardyansyah Simbolon ◽

Dzihan Khilmi Ayu Firdausi

Keyword(s):

Body Mass Index ◽

Physical Fitness ◽

Body Mass ◽

Vertical Jump ◽

Modern Society ◽

Abdominal Muscle ◽

Overweight And Obesity ◽

Abdominal Muscles ◽

Cardiorespiratory Endurance

The lifestyle and diet of today's modern society can lead to overweight and obesity. Overweight and obesity is now beginning to worry. This study aims to provide a description of the condition of Body Mass Index (BMI) and physical fitness among adolescents in Bangka Belitung Islands in 2017, and how BMI and physical fitness are associated. 105 adolescents were participants of this study, 90 male and 15 female adolescents. Participants aged ± 18 years in the year of the study conducted. Anthropometry is performed to identify participants' BMI. Performance tests were conducted to identify the components of physical fitness related to the health of the participants. Performance of vertical jump (leg power), sprint 60 meter (speed), push-up (strength and endurance of arm muscle), sit-up (strength and endurance of abdominal muscles), and run / walk distance 1000/1200 meters (cardiorespiratory endurance). BMI has a significant correlation with the strength and endurance of arm muscle (t = 3.79, p < 0.05). BMI has a significant correlation with leg power (t = 4.97, p < 0.01). BMI correlates significantly with speed (t = 4.04, p < 0.05). CRE is only significantly correlated with abdominal muscle strength and endurance (t= 2.51, p < 0.01). Overweight and obesity can be prevented through the provision of a program of physical activity that meets the rules of physical fitness. The program should be provided from primary to senior high school and it’s a sustainable long-term program at every level of education at school. Hopefully overweight and obesity can be prevented.

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Physical fitness and nutritional anthropometric status of children from disadvantaged communities in the Nelson Mandela Bay region

South African Journal of Sports Medicine ◽

10.17159/2078-516x/2020/v32i1a8158 ◽

2020 ◽

Vol 32 (1) ◽

pp. 1-8

Author(s):

Danielle Smith ◽

Larissa Adams ◽

Rosa Du Randt ◽

Jan Degen ◽

Stefanie Gall ◽

...

Keyword(s):

Body Mass Index ◽

Body Composition ◽

Physical Fitness ◽

Body Mass ◽

Muscular Strength ◽

Background Information ◽

Lower Body ◽

Cross Sectional ◽

Disadvantaged Communities ◽

Nelson Mandela

Background: Information about the relationships between physical fitness, body composition and nutrition has increased in recent years; however, little is known about physical fitness and the coexistence of under-/overnutrition among children living in disadvantaged areas. Objectives: To determine the physical fitness status and its association with body composition, growth and selected socio- demographics in primary schoolchildren from disadvantaged communities in the Nelson Mandela Bay region. Methods: Nine hundred and sixty-five children (49% girls, M=9.5 years) participated in this cross-sectional study. Height and weight were measured to establish body mass index, and height-for-age z-scores. Physical fitness was assessed using tests from the Eurofit Physical Fitness test battery (flexibility, upper/lower body muscular strength and cardiorespiratory fitness). Between- group differences and cross-sectional associations were examined with univariate (Chi2-tests, analyses of variance) and multivariate methods (mixed linear/logistic regression). Results: Most children had normal weight (76.7%), while 4.5% were underweight and 18.7% were overweight/obese. Underweight children and children with stunted growth (11.5%) had lower average upper body strength (p<0.001). Overweight/obese children had lower scores in weight-bearing activities (p<0.001). Children with higher socio-economic status were more likely to be overweight and obese (p<0.001). In the multivariate analyses, sex, age, body mass index, and stunting were associated with children’s physical fitness. Conclusion: Fitness assessments seem to be a relevant measure of the current health status of children in disadvantaged settings. Compared to international norms, the children in this study had relatively low scores for both upper- and lower body muscular strength. Therefore, effective school-based intervention programmes should be developed to improve children’s physical fitness in disadvantaged schools.

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Human Fecal Metabolome Reflects Differences in Body Mass Index, Physical Fitness, and Blood Lipoproteins in Healthy Older Adults

Metabolites ◽

10.3390/metabo11110717 ◽

2021 ◽

Vol 11 (11) ◽

pp. 717

Author(s):

Mengni Cui ◽

Alessia Trimigno ◽

Josue L. Castro-Mejía ◽

Søren Reitelseder ◽

Jacob Bülow ◽

...

Keyword(s):

Older Adults ◽

Body Mass Index ◽

Physical Fitness ◽

Glutamic Acid ◽

Human Health ◽

Body Mass ◽

Gut Microbiome ◽

Density Lipoprotein ◽

Healthy Older Adults ◽

Lipoprotein Particles

This study investigated how body mass index (BMI), physical fitness, and blood plasma lipoprotein levels are related to the fecal metabolome in older adults. The fecal metabolome data were acquired using proton nuclear magnetic resonance spectroscopy and gas chromatography–mass spectrometry on 163 healthy older adults (65–80 years old, 80 females and 83 males). Overweight and obese subjects (BMI ≥ 27) showed higher levels of fecal amino acids (AAs) (valine, alanine, and phenylalanine) compared to normal-weight subjects (BMI ≤ 23.5). Adults classified in the high-fitness group displayed slightly lower concentrations of fecal short-chain fatty acids, propionic acid, and AAs (methionine, leucine, glutamic acid, and threonine) compared to the low-fitness group. Subjects with lower levels of cholesterol in low-density lipoprotein particles (LDLchol, ≤2.6 mmol/L) displayed higher fecal levels of valine, glutamic acid, phenylalanine, and lactic acid, while subjects with a higher level of cholesterol in high-density lipoprotein particles (HDLchol, ≥2.1 mmol/L) showed lower fecal concentration of isovaleric acid. The results from this study suggest that the human fecal metabolome, which primarily represents undigested food waste and metabolites produced by the gut microbiome, carries important information about human health and should be closely integrated to other omics data for a better understanding of the role of the gut microbiome and diet on human health and metabolism.

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The Effect of Aerobic and Anaerobic Exercise on Increasing Body Immunity Through Physical Fitness Test

RSF Conference Series: Business, Management and Social Sciences ◽

10.31098/bmss.v1i4.308 ◽

2021 ◽

Vol 1 (4) ◽

pp. 71-76

Author(s):

Tri Saptono ◽

Sumitarsih Sumitarsih ◽

R. Agung Purwandono Saleh

Keyword(s):

Body Mass Index ◽

Physical Fitness ◽

Aerobic Exercise ◽

Body Mass ◽

High Body Mass Index ◽

Anaerobic Exercise ◽

Average Difference ◽

Physical Fitness Test ◽

Fitness Test ◽

Aerobic And Anaerobic

The research aims to determine: 1) differences in the effect of aerobic and anaerobic exercise on increasing body immunity, 2) differences in increasing body immunity between low and high Body Mass Index, 3) differences in increasing body immunity between high Body Mass Index aerobic exercise and high Body Mass Index anaerobic exercise, 4) differences in the increase in body immunity between low Body Mass Index aerobic exercise and low Body Mass Index anaerobic exercise, 5) the effect of interaction between Body Mass Index with aerobic and anaerobic exercise on increasing body immunity through Physical Fitness Test The research uses an experimental method with 2x2 factorial design. The population of this research is the SPIRITS Sleman Yogyakarta volleyball club. The sample size is 24 athletes. The research data analysis technique used ANOVA. Prerequisite test of data analysis using normality test (Lilliefors test = 0.05) and homogeneity test of variance (Bartlet test = 0.05) The results of the research: 1) There is a difference in the effect between aerobic exercise with an average of 4.016667 and anaerobic exercise with an average of 2.825, on the increase in physical fitness test ability with an average difference of 1.191667. 2) There is a different effect between low BMI with an average of 4.325 and high BMI with an average of 2.516667 on increasing physical fitness test abilities with an average difference of 1.808333. 3) There is a different effect between low BMI aerobic exercise with an average of 5.15 and low BMI anaerobic exercise with an average of 3.5 on increasing physical fitness test ability with an average difference of 1.65. 4) There is a difference between high BMI aerobic exercise with an average of 2.883333 and high BMI anaerobic exercise with an average of 2.15 on the increase in physical fitness test with an average difference of 0.7333333. 5) Interaction between aerobic exercise, anaerobic exercise and BMI 0.656866

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