scholarly journals Significance of fulfillment of nutrition on body mass index and physical activity

2020 ◽  
Vol 6 (1) ◽  
pp. 118-131
Author(s):  
Indah Prasetyawati Tri Purnama Sari ◽  
Erwin Setyo Kriswanto ◽  
Riky Dwihandaka ◽  
Danang Pujo Broto ◽  
Abdul Mahfudin Alim
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Data Analysis ◽  
Body Mass ◽  
Survey Methods ◽  
Pearson Correlation ◽  
Sampling Technique ◽  
School Students ◽  
Nutrition And Physical Activity ◽  
Data Collection Technique

Malnutrition troubles body mass index and physical activity. This study aims to analyze the relation of fulfillment of Nutrition on body mass index and physical activity. This research is a correlational study supported by survey methods. Data collection technique employs questionnaires and measurements of body weight and height. The population in this study is elementary school students in Sleman Yogyakarta and a sampling technique employs purposive random sampling. The total samples are 236 students. The research instrument uses 24-hour food recalls to determine fulfillment of Nutrition; tanita weight scales, microtoise to measure body mass index, and GPAQ (Global Physical Activity Questionnaire) to determine physical activity. Furthermore, analysis technique employs Pearson correlation analysis. The data analysis results of fulfillment of Nutrition and body mass index obtain syndication calculations 0.00 <0.05, meaning there is a relationship between the fulfillment of nutrition and body mass index. Additionally, the data analysis results of fulfillment of Nutrition and physical activity obtain significance calculation 0.00 <0.05, which means there is a relation between fulfillment of Nutrition and physical activity. Briefly, there is significant relation between the fulfillment of nutrition and body mass index as well as between the fulfillment of nutrition and physical activity. In another words, the study shows positive link between fulfillment of Nutrition with body mass index and physical activity.

scholarly journals Relation of diet and physical activity to obesity in children in elementary schools

2011 ◽  
Vol 1 (1) ◽  
pp. 44-49
Author(s):  
Senka Dinarević ◽  
Suada Branković ◽  
Snježana Hasanbegović
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Primary School ◽  
Body Mass ◽  
Primary Schools ◽  
Normal Weight ◽  
Primary School Students ◽  
School Students ◽  
Diet And Physical Activity ◽  
Nutrition And Physical Activity

Introduction: The prevalence of pediatric obesity is increasing. Finding the most effective preventive measures for the development of obesity in each country requires accurate epidemiological data on the number of obese children and adolescents, and their habits regarding nutrition and activity. The objective of this study was evaluate diet and physical activity in primary school students in relation to the occurrence of obesity, to determine the prevalence of overweight, mark the basic causes of this phenomenon and to establish measures for treatment and prevention.Methods: pupils 1-8. grades of primary schools were surveyed in written forms in terms of nutrition and physical activity, and measured height and weight, body mass index (BMI-body mass index) was calculated by whichwas estimated the level of nourishment: BMI> p (percentile) 5-malnutrition, p 5-85 proper body weight, p 85-95 over-nutrition, p> 95 obesity.Results: The study comprised 2329 pupils from 10 primary schools in the Canton of Sarajevo. Number of respondents by age and gender was balanced: I-IV 1077, V-VIII 1252; M-1226 and -1103 W. Obese and overweight was 22.46%, 62.53% of normal weight and 15 underweight, 01%. Most children eat a sandwich from school 34.63%, and food from the bakery 23.36% and 23.64% a sandwich from home. Still-dense juices are mostly drunk, even 22.34% of the students, a maximum of 52.8% water. Daily candy had taken 53.21% of all primary school students. 33.80% of the students were active on physical activity lessons and daily only 28.27%.Conclusions: The overweight problem in relation to the way of nutrition and physical activity is evident. The most important factors in] uencing the development of obesity undernutrition of children in school, the high frequency of intake of sweets and thick juice, an inadequate level ofphysical activity and sedanteran way of life.

scholarly journals Body Composition, Psychological, Cardiovascular, and Physical Activity Factors Related with Academic School Performance

2021 ◽  
Vol 13 (16) ◽  
pp. 8775
Author(s):  
Laura Redondo-Flórez ◽  
Domingo Jesus Ramos-Campo ◽  
Vicente Javier Clemente-Suárez
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Heart Rate ◽  
Body Composition ◽  
Academic Performance ◽  
Body Mass ◽  
Trait Anxiety ◽  
Motor Development ◽  
Overweight And Obesity ◽  
School Students

The aim of the present study was to analyse body composition, anxiety, cardiovascular, and physical activity factors related with academic performance of school students as well as to analyse differences, by age, in these factors. We analysed in 266 primary school students’ (8.81 ± 1.62 years, range: 5–13 years) heart rate, anthropometric variables to calculate body mass index, physical activity performance, anxiety levels and academic results by the average of marks. Students were divided in two different groups, firstly by their lower or higher academic performance, and secondly by age. Results showed a negative correlation between academic performance and age, weight, body mass index and trait anxiety variables. Additionally, significant differences were found by age, presenting older students higher scores in body mass index and lower physical activity, trait anxiety, heart rate and academic performance values than younger students. Overweight and obesity may have a great impact in academic performance in children and we pointed out the necessity to establish programs related with healthy habits which include improvements in physical activity and nutrition behaviours with the objective to enhance children’s health general status, psychological profile, cognitive and motor development, and academic performance.

scholarly journals Feasibility of enhancing well‐child visits with family nutrition and physical activity risk assessment on body mass index

2019 ◽  
Vol 5 (3) ◽  
pp. 220-230
Author(s):  
L. Bailey‐Davis ◽  
S. M. R. Kling ◽  
G. C. Wood ◽  
W. J. Cochran ◽  
J. W. Mowery ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Assessment ◽  
Body Mass Index ◽  
Body Mass ◽  
Nutrition And Physical Activity ◽  
Family Nutrition

scholarly journals Associations of movement behaviors and body mass index: comparison between a report-based and monitor-based method using Compositional Data Analysis

2020 ◽  
Vol 45 (1) ◽  
pp. 266-275 ◽  
Author(s):  
Youngwon Kim ◽  
Ryan D. Burns ◽  
Duck-chul Lee ◽  
Gregory J. Welk
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Data Analysis ◽  
Body Mass ◽  
Compositional Data ◽  
Activity Measurement ◽  
Compositional Data Analysis ◽  
Lifestyle Behaviors ◽  
Linear Regression Models ◽  
Index Comparison

Abstract Background/objectives Evidence on the associations between lifestyle movement behaviors and obesity has been established without taking into account the time-constrained nature of categorized, time-based lifestyle behaviors. We examined the associations of sleep, sedentary behavior (SED), light-intensity physical activity (LPA), and moderate-to-vigorous PA (MVPA) with body mass index (BMI) using Compositional Data Analysis (CoDA), and compared the associations between a report-based method (24-h Physical Activity Recall; 24PAR) and a monitor-based method (SenseWear Armband; SWA). Subjects/methods Replicate data from a representative sample of 1247 adults from the Physical Activity Measurement Survey (PAMS) were used in the study. Participants completed activity monitoring on two randomly selected days, each of which required wearing a SWA for a full day, and then completing a telephone-administered 24PAR the following day. Relationships among behavioral compositional parts and BMI were analyzed using CoDA via multiple linear regression models with both 24PAR and SWA data. Results Using 24PAR, time spent in sleep (γ = −3.58, p = 0.011), SED (γ = 3.70, p = 0.002), and MVPA (γ = −0.53, p = 0.018) was associated with BMI. Using SWA, time spent in sleep (γ = −5.10, p < 0.001), SED (γ = 8.93, p < 0.001), LPA (γ = −3.12, p < 0.001), and MVPA (γ = −1.43, p < 0.001) was associated with BMI. The SWA models explained more variance in BMI (R2 = 0.28) compared with the 24PAR models (R2 = 0.07). The compositional isotemporal substitution models revealed reductions in BMI when replacing SED by MVPA, LPA (not with 24PAR) or sleep for both 24PAR and SWA, but the effect estimates were larger with SWA. Conclusions Favorable levels of relative time spent in lifestyle movement behaviors were, in general, associated with decreased BMI. The observed associations were stronger using the monitor-based SWA method compared with the report-based 24PAR method.

scholarly journals Relação entre duas equações do índice de massa corporal em mulheres / Relationship between two equations of the body mass index in women

2018 ◽  
Vol 7 (1) ◽  
pp. 72
Author(s):  
William Cordeiro de Souza ◽  
André De Camargo Smolarek ◽  
Denise Barth Rebesco ◽  
Marcos Tadeu Grzelczak ◽  
Valderi Abreu de Lima ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Data Analysis ◽  
Body Mass ◽  
Pearson Correlation ◽  
The Body ◽  
Descriptive Statistics ◽  
Pearson Correlation Coefficient ◽  
Anthropometric Measures ◽  
Significance Level ◽  
The Relationship

Objetivo: Relacionar duas equações do método antropométrico do Índice de Massa Corporal (IMC) proposto por Quételet e Trefethen em mulheres. Métodos: A amostra foi constituída por 222 mulheres do município de Canoinhas/SC, com idades entre 18 e 49 anos. Para as medidas antropométricas foi avaliada a massa corporal e a estatura. Por meio dos dados obtidos foi calculado o IMC utilizando às fórmulas: Quételet= (kg/m2) e Trefethen= (1,3*kg/m2,5). Na análise dos dados realizou-se a estatística descritiva, o fator de correlação de Pearson (r) foi realizado para verificar a relação entre os métodos e o teste de Bland-Altman foi utilizado para verificar a concordância entre as equações. Foi adotado um nível de significância de p<0,05. Resultados: Foi encontrada uma relação muito forte e significante (r= 0,98; p= <0,001) com intervalo de confiança (IC 95% = 0,93-0,99) e concordância entre as equações do IMC. Conclusão: A equação do IMC de Trefethen apresentou associação muito forte e significante com a equação IMC de Quételet em mulheres.AbstractObjective: To relate two equations of the anthropometric method of the Body Mass Index (BMI) proposed by Quételet and Trefethen in women. Methods: The sample consisted of 222 women from the municipality of Canoinhas/SC, aged between 18 and 49 years. For the anthropometric measures body mass and height were evaluated. By means of the data obtained, the BMI was calculated using the formulas: Quételet= (kg/m2) and Trefethen= (1,3*kg/m2,5). In the data analysis, descriptive statistics were performed, the Pearson correlation coefficient (r) was performed to verify the relationship between the methods and the Bland-Altman test was used to verify the concordance between the equations. A significance level of p <0.05 was adopted. Results: A very strong and significant relationship was found (r= 0.98, p= <0.001) with a confidence interval (95% CI= 0.93-0.99) and concordance between the BMI equations. Conclusion: The BMI equation of Trefethen showed a very strong and significant association with the BMI equation of Quételet in women.

scholarly journals Indeks massa tubuh dan aktivitas fisik dengan tekanan darah pada pelajar SMA

2016 ◽  
Vol 12 (4) ◽  
pp. 160
Author(s):  
Yessi Marlina ◽  
Emy Huryati ◽  
Yati Soenarto
Keyword(s):  
Physical Activity ◽  
High School ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High School Students ◽  
Diastolic Blood Pressure ◽  
Body Mass ◽  
Weight Changes ◽  
School Students ◽  
Time Activity

Background:  A trend towards in increase of hypertension in adults and children. If criteria of hypertension according to JNC VII 2003 applied to the population aged 15-17 years in Indonesia, the prevalence of hypertension in adolescents was obtained 5.3% nationally. Examination of blood pressure and factors related to blood pressure are of particular importance in children due to the decline in physical activity and weight changes contributing to blood pressure elevations that occur at this point in maturation. Blood pressure levels begin to increase as children approach adolescence. Weight control and physical activity regularly are recommended to prevent blood pressure elevations in both adult and youth.Objective: Determine the relationship between body mass index and physical activity with blood pressure in high school students in Pekanbaru.Method: This is an analytic observational study with cross sectional design. This study was involved 353 high school students in Pekanbaru who meets inclusion and exclusion criteria through cluster sampling technique. Data collected by direct measurements such as weight, height and blood pressure whereas physical activity and characteristic of the subject was collected by questionnaire. The results of the data collection were analyzed using univariate, bivariate and multivariate analysis.Results: There is a correlation between body mass index with systolic (p=0.000; r=0.238) and diastolic blood pressure (p=0.010; r=0.136). Each increase in 1 kg/m2 body mass index was linked with an increase of 2.339 mmHg systolic blood pressure and 0.979 mmHg diastolic blood pressure. However, there is no correlation between physical activity with systolic (p=0.829) nor diastolic blood pressure (p=0,643). Multivariate analysis showed that sex and screen time activity were factors most dominantly affecting blood pressure.Conclusion: There is a correlation between body mass index with blood pressure. However, there is no correlation between physical activity with blood pressure.

scholarly journals Correlation of age at menarche of mothers and daughters in Backa Palanka

2005 ◽  
Vol 58 (3-4) ◽  
pp. 208-210 ◽  
Author(s):  
Nebojsa Kolarov ◽  
Miroslav Cerni ◽  
Borislav Jovic
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Age At Menarche ◽  
Growth Speed ◽  
School Students ◽  
Mothers And Daughters ◽  
Survey Results ◽  
One Year ◽  
Genetically Determined

Introduction Age at menarche is genetically determined, but it is also influenced by body mass index, growth speed, physical activity, social status and other factors. The aim of this study was to identify the average age at menarche, to study acceleration phenomena and correlation of age at menarche of mothers and their daughters in Backa Palanka. Material and methods The survey involved 105 elementary school students (having menstrual cycles, specifically menarche) and 536 women, their mothers. Results and discussion The average age at menarche in girls was 12,17 and in their mothers at 13.08. SD was 0.95 in daughters, and 1.32 in mothers. In 33% of girls the age at menarche was the same as in their mothers, in 46% it was one year earlier or later, in 15% there was a two year difference and in the rest there was a three year difference. Our survey results clearly show that there is an acceleration phenomena involved. Conclusion Genetic factor has the greatest influence on the age at menarche. However, there is also an acceleration phenomena. It is necessary to broaden the survey regarding the effects of physical activity and body mass index on age at menarche. .

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