scholarly journals Contrasting longitudinal and cross-sectional relationships between insulin resistance and percentage of body fat, fitness, and physical activity in children—the LOOK study

2009 ◽  
Vol 10 (8) ◽  
pp. 500-507 ◽  
Author(s):  
Richard D Telford ◽  
Ross B Cunningham ◽  
Jonathan E Shaw ◽  
David W Dunstan ◽  
Antony RA Lafferty ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Body Fat ◽  
Cross Sectional ◽  
Percentage Of Body Fat ◽  
The Look

scholarly journals Relação da atividade física e percentual de gordura de escolares

2018 ◽  
Vol 12 (2) ◽  
pp. 481
Author(s):  
Hilbert Silva Julio ◽  
Roberto Tauil Paladino ◽  
Andreia Beatriz Machado ◽  
Lucas Prado Siqueira ◽  
Lucas Reis Hausen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Activity Level ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Physically Active ◽  
Percentage Of Body Fat ◽  
Grasa Corporal ◽  
Children Obesity ◽  
And Training

RESUMOObjetivo: identificar o Nível de Atividade Física e Percentual de Gordura Corporal de escolares. Método: estudo quantitativo, transversal, por amostragem composta de 640 escolares (Idade: 10±1 anos; Massa Corporal, 37,25±13,90kg; Estatura, 1,45±0,08m; IMC, 17,50±5,04kg/m²). O NAF por meio PAQ-C, %GC pelo método de dobras cutâneas e o IMC. Resultados: há diferenças significativas (p < 0,01, d = 0,37) no escore do PAQ-C entre os sexos, com superioridade nos valores masculinos; foram encontradas diferenças significativas na distribuição dos níveis de atividade física divididos pelo sexo (p < 0,0001, d = 6,7) e na distribuição do %CG pelo sexo (p < 0,0001, d=0,28). Conclusão: foram identificados índices de obesidade dentre os escolares (43% e 53,10%, populações feminina e masculina, respectivamente) ao mesmo tempo em que essa população apresenta que é ativa ou moderadamente ativa fisicamente (67,07% e 67,56%, masculino e feminino, respectivamente); contudo, não foi identificada associação entre Nível de Atividade Física e Percentual de Gordura Corporal. Estes resultados corroboram os achados gerais da literatura que demonstram que o NAF não é fator determinante para o valor Percentual de Gordura Corporal. Descritores: Escolares; Obesidade Infantil; Promoção da Saúde; Saúde Pública; Educação Física e Treinamento; Educação em Saúde.ABSTRACT Objective: to identify the level of Physical Activity and Percentage of Body Fat of schoolchildren. Method: cross-sectional quantitative study of 640 schoolchildren (Age: 10 ± 1 years; Body Mass, 37.25 ± 13.90 kg; Stature, 1.45 ± 0.08 m; BMI, 17.50 ± 5.04 kg / m²). The NAF by PAQ-C,% GC by the skinfold method and the BMI. Results: there were significant differences (p <0.01, d = 0.37) in the PAQ-C score between the sexes, with superiority in the male values; (p <0.0001, d = 6.7) and in the CG distribution by gender (p <0.0001, d = 0.28). Conclusion: obesity rates among schoolchildren (43% and 53.10%, female and male, respectively) were identified at the same time as this population shows that they are active or moderately physically active (67.07% and 67.56 %, male and female, respectively); however, no association was identified between Physical Activity Level and Body Fat Percentage. These results corroborate the general findings of the literature that demonstrate that PAL is not a determinant factor for the Percentage of Body Fat. Decriptors: School Children; Obesity; Health Promotion; Public Health; Physical Education and Training; Health Education.RESUMENObjetivo: identificar el Nivel de Actividad Física y Porcentaje de Grasa Corporal de escolares. Método: estudio cuantitativo transversal, por muestreo compuesto de 640 escolares (Edad: 10 ± 1 años; Masa Corporal, 37,25 ± 13,90kg; Estatura, 1,45 ± 0,08m; IMC, 17,50 ± 5,04kg / m²). El NAF por PAQ-C,% GC por el método de pliegues cutáneos y el IMC. Resultados: hay diferencias significativas (p <0,01, d = 0,37) en la puntuación del PAQ-C entre los sexos, con superioridad en los valores masculinos; se encontraron diferencias significativas en la distribución de los niveles de actividad física divididos por el sexo (p <0,0001, d = 6,7) y en la distribución del %CG por el sexo (p <0,0001, d = 0,28). Conclusión: se identificaron índices de obesidad entre los escolares (43% y 53,10%, poblaciones femenina y masculina, respectivamente) al mismo tiempo que esa población presenta que es activa o moderadamente activa físicamente (67,07% y 67,56% masculino y femenino respectivamente); sin embargo, no se identificó, asociación entre Nivel de Actividad Física y Porcentaje de Grasa Corporal. Estos resultados corroboran los hallazgos generales de la literatura que demuestran que el NAF no es factor determinante para los valores Porcentaje de Grasa Corporal. Descriptores: Escolares; Obesidad Infantil; Promoción de la Salud, Salud Pública; Educación y Entrenamiento Físico; Educación en Salud.

scholarly journals Dietary fibre consumption and insulin resistance – the role of body fat and physical activity

2012 ◽  
Vol 110 (2) ◽  
pp. 375-383 ◽  
Author(s):  
Charity B. Breneman ◽  
Larry Tucker
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Body Fat ◽  
Fasting Glucose ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Soluble Fibre ◽  
Fibre Intake

The present study was conducted to determine the association between fibre intake and insulin resistance in 264 women using a cross-sectional design. Insulin resistance was indexed using homeostasis model assessment of insulin resistance (HOMA-IR) (US formula: fasting insulin (μU/ml) × fasting glucose (mg/dl)/405 international formula: fasting glucose (mmol/l) × fasting insulin (μU/l)/22.5). Fibre and energy consumption were assessed using 7 d weighed food records. Fibre was expressed as g/4184 kJ (1000 kcal). Body fat percentage (BF%) was measured using the BOD POD, and physical activity (PA) was ascertained using Actigraph accelerometers (Health One Technology) worn for seven consecutive days. Women with high total fibre intakes (F= 4·58, P= 0·0332) or high soluble fibre intakes (F= 7·97, P= 0·0051) had significantly less insulin resistance than their counterparts. Participants with high insoluble fibre intakes did not differ from their counterparts (F= 0·7, P= 0·6875). Adjusting for either PA or BF% weakened the relationships significantly. Controlling for BF% nullified the total fibre–HOMA-IR link (F= 1·96, P= 0·1631) and attenuated the association between soluble fibre and HOMA-IR by 32 % (F= 6·86, P= 0·0094). To create dichotomous variables, fibre intake and HOMA-IR were each divided into two categories using the median (low and high). In women who had high soluble fibre intake (upper 50 %), the OR of having an elevated HOMA-IR level was 0·58 (95 % CI 0·36, 0·94) times that of women with low soluble fibre intake (lower 50 %). After controlling for all of the potential confounding factors simultaneously, the OR was 0·52 (95 % CI 0·29, 0·93). High fibre intake, particularly soluble fibre, is significantly related to lower levels of insulin resistance in women. Part of this association is a function of differences in PA and BF%.

scholarly journals High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Intensity Physical Activity

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.

scholarly journals Symptoms of stress and depression effect percentage of body fat and insulin resistance in healthy youth: LOOK longitudinal study.

2017 ◽  
Vol 36 (8) ◽  
pp. 749-759 ◽  
Author(s):  
Lisa S. Olive ◽  
Rohan M. Telford ◽  
D. G. Byrne ◽  
Walter P. Abhayaratna ◽  
Richard D. Telford
Keyword(s):  
Insulin Resistance ◽  
Longitudinal Study ◽  
Body Fat ◽  
Depression Effect ◽  
Percentage Of Body Fat

scholarly journals Simultaneous presence of excess weight and insufficient hours of sleep in adolescents: prevalence and related factors

2017 ◽  
Vol 27 (2) ◽  
pp. 148
Author(s):  
Tiago Rodrigues de Lima ◽  
Gabriel Renaldo de Sousa ◽  
João Antônio Chula de Castro ◽  
Diego Augusto Santos Silva
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Body Fat ◽  
School Environment ◽  
Paediatric Population ◽  
Health Problems ◽  
Related Factors ◽  
Cross Sectional ◽  
Insufficient Sleep ◽  
School Based

Introduction: An increase in excess body fat and a decrease in the number of hours of sleep per day are health problems affecting the paediatric population. Objective: To estimate the combined prevalence of overweight and insufficient sleep/day in adolescents, and the association with sociodemographic characteristics, physical activity and sedentary behaviour. Methods: A cross-sectional school-based study was conducted with 1,132 participants from 14 to 19 years old in São José, Santa Catarina, Brazil. Body fat was assessed by body mass index (BMI) and classified by the Z-score, while adolescents reported the total hours of sleep/day. Sociodemographic data, physical activity and sedentary behaviour were collected by self-filled questionnaire. Results: The simultaneous prevalence of overweight and insufficient sleep/day was 17.5%. The factors associated with this condition were to meet the recommendations of the practice of physical activity per week, participate in gym class twice/week and period greater/equal to four hours/day in front of the screen. Conclusion: Guidelines in the school environment in relation to health problems posed by weight excess and the amount of insufficient hours sleep can be present when recommendations on physical activity and sedentary behaviour are given to students.

The Relationship of Physical Activity and Percentage of Body Fat to the Risk of Asthma in 8- to 10-year-old Children

2007 ◽  
Vol 44 (10) ◽  
pp. 885-889 ◽  
Author(s):  
Dennis R. Ownby ◽  
Edward L. Peterson ◽  
Dorothy Nelson ◽  
Christine C.L. Joseph ◽  
L. Keoki Williams ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Percentage Of Body Fat ◽  
Relationship Of ◽  
The Relationship

scholarly journals The Relationship between Body Composition, Dietary Intake, Physical Activity, and Pulmonary Status in Adolescents and Adults with Cystic Fibrosis

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 310
Author(s):  
Kevin J. Scully ◽  
Laura T. Jay ◽  
Steven Freedman ◽  
Gregory S. Sawicki ◽  
Ahmet Uluer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cystic Fibrosis ◽  
Body Composition ◽  
Dietary Intake ◽  
Healthy Volunteers ◽  
Clinical Outcomes ◽  
Body Fat ◽  
Lean Mass ◽  
Cross Sectional ◽  
Adolescents And Adults

Measures of body fat and lean mass may better predict important clinical outcomes in patients with cystic fibrosis (CF) than body mass index (BMI). Little is known about how diet quality and exercise may impact body composition in these patients. Dual X-ray absorptiometry (DXA) body composition, 24-h dietary recall, and physical activity were assessed in a cross-sectional analysis of 38 adolescents and adults with CF and 19 age-, race-, and gender-matched healthy volunteers. Compared with the healthy volunteers, participants with CF had a lower appendicular lean mass index (ALMI), despite no observed difference in BMI, and their diets consisted of higher glycemic index foods with a greater proportion of calories from fat and a lower proportion of calories from protein. In participants with CF, pulmonary function positively correlated with measures of lean mass, particularly ALMI, and negatively correlated with multiple measures of body fat after controlling for age, gender, and BMI. Higher physical activity levels were associated with greater ALMI and lower body fat. In conclusion, body composition measures, particularly ALMI, may better predict key clinical outcomes in individuals with CF than BMI. Future longitudinal studies analyzing the effect of dietary intake and exercise on body composition and CF-specific clinical outcomes are needed.

scholarly journals HUBUNGAN KONSUMSI ASAM LEMAK OMEGA-3, AKTIVITAS FISIK DAN PERSEN LEMAK TUBUH DENGAN TINGKAT DISMENORE PADA REMAJA

2017 ◽  
Vol 6 (4) ◽  
pp. 268
Author(s):  
Famimah Famimah ◽  
Ani Margawati ◽  
Deny Yudi Fitranti
Keyword(s):  
Physical Activity ◽  
Fatty Acids ◽  
Body Fat ◽  
Rating Scale ◽  
Numerical Rating Scale ◽  
Percent Body Fat ◽  
Omega 3 Fatty Acids ◽  
Omega 3 ◽  
Cross Sectional

Background: Dysmenorrhea or menstrual pain was a gynecological complaint due to an imbalance of progesterone in the blood resulting in pain. A woman with dysmenorrhea should consume food rich in omega-3 fatty acids such as fish oil, fish (salmon, tuna, mackerel, herring), soybeans and fruits. Low fish consumption was related with severity of dysmenorrhea. In addition, physical activity and percent body fat were also associated with severity of dysmenorrhea.Objective : To determine the correlation between consumption of omega-3 fatty acids, physical activity and percent body fat to the classification of dysmenorrhea in adolescents.Methods : Cross sectional study of 90 adolescentsselected by purposive sampling. This research was conducted in SMA N 15 and SMA N 9 Semarang. Menstrual history was measured by direct interviews and level of dysmenorrhea was measured using Numerical Rating Scale Questionnaire. Omega-3 fatty acids were measured using Food Frequency Questionnaire (FFQ) and analyzed using a nutritional software program. Physical activity was measured using A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Percent body fat was measured using Bioelectrical Impedance Analysis (BIA). Data were analyzed by Independent T test/Mann Whitney. Result : There were significant correlation in omega-3 fatty acid (p= 0,015), and percent body fat (p= 0,026). While in physical activity there was no significant correlation (p= 0,394).Conclusion : Consumption of omega-3 fatty acids and percent body fat were associated with the classification of dysmenorrhea.

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