Rural Middle School Nutrition and Physical Activity Environments and the Change in Body Mass Index During Adolescence

2015 ◽  
Vol 85 (2) ◽  
pp. 100-108 ◽  
Author(s):  
Margaret Demment ◽  
Nancy Wells ◽  
Christine Olson
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
Body Mass Index ◽  
Body Mass ◽  
School Nutrition ◽  
Rural Middle School ◽  
Nutrition And Physical Activity ◽  
Physical Activity Environments

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 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 Associations between the combined physical activity environment, socioeconomic status, and obesity: a cross-sectional study

2017 ◽  
Vol 138 (3) ◽  
pp. 169-172 ◽  
Author(s):  
M Hobbs ◽  
C Griffiths ◽  
MA Green ◽  
H Jordan ◽  
J Saunders ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Health Study ◽  
Cross Sectional ◽  
Physical Activity Environment ◽  
Individual Level ◽  
Physical Activity Facility ◽  
Physical Activity Environments

Aims: This study investigates associations between the combined physical activity environment and obesity and explores any sub-group effects by individual-level socioeconomic status. Methods: In a large cross-sectional cohort ( n = 22,889) from the Yorkshire Health Study, body mass index was calculated using self-reported height and weight and obesity was defined as a body mass index ≥ 30. The physical activity environment was split into ‘unfavourable physical activity’, ‘moderately favourable physical activity’ and ‘favourable physical activity’ environments. This was based on the count of parks and physical activity facilities within a 2 km radial buffer centred on home addresses. A favourable physical activity environment was defined as having ≥1 physical activity facility and ≥1 park, unfavourable as having no physical activity facility and park and any other combinations defined as moderately favourable. Logistic regression (odds ratios) identified associations with obesity. Results: Relative to ‘unfavourable physical activity environments’, individuals within favourable physical activity environments were less likely to be obese (odds ratio = 0.90; 95% confidence interval = 0.82–0.97), and there was no effect for moderately favourable environment. Furthermore, once stratified by education level, this relationship was only present for those of higher education. Conclusion: Our findings provide novel UK evidence and is one of the first papers internationally that highlights the importance of considering the interplay of individual-level socioeconomic factors when investigating associations between the physical activity environment and obesity.

scholarly journals Healthier school food and physical activity environments are associated with lower student body mass index

2020 ◽  
Vol 19 ◽  
pp. 101115 ◽  
Author(s):  
Sanika Dighe ◽  
Kristen Lloyd ◽  
Francesco Acciai ◽  
Sarah Martinelli ◽  
Michael J. Yedidia ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Student Body ◽  
School Food ◽  
Physical Activity Environments

Independent Mobility and its Relationship With Moderate-to-Vigorous Physical Activity in Middle-School Portuguese Boys and Girls

2014 ◽  
Vol 11 (8) ◽  
pp. 1640-1643 ◽  
Author(s):  
Elisa A. Marques ◽  
Andreia Isabel Pizarro ◽  
Jorge Mota ◽  
Maria Paula Santos
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Body Mass ◽  
Multinomial Logistic Regression ◽  
Vigorous Physical Activity ◽  
Independent Mobility ◽  
Exact Relation ◽  
Objectively Measured

Background:The exact relation between objectively measured moderate-to-vigorous physical activity (MVPA) and independent mobility in children has yet to be fully defined. The objective of this study was to determine whether independent mobility is associated with level of MVPA.Methods:Data were collected from 9 middle schools in Porto (Portugal) area. A total of 636 children in the 6th grade (340 girls and 296 boys) with a mean age of 11.64 years old participated in the study. PA was measured in 636 participants using an accelerometer. Multinomial logistic regression was applied to assess the odds for belonging to quartiles of MVPA.Results:After controlling for age, gender, body mass index, meeting PA recommendations, and participation in structured exercise, the odds of having a higher level of MVPA when children have higher independent mobility increase through the MVPA quartiles.Conclusions:A positive associations were found between independent mobility and quartiles of physical activity.

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