Dietary habits and exercise patterns among high school students in Mississippi.
Aim: The period of adolescence (between ages 10 to 19) is characterized by a critical period of development and establishment of eating behaviors and preferences. Obesity and unhealthy eating remain important public health challenges among adolescents in Mississippi. This study seeks to uncover the...
| Publicado en: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 30; no. 6; pp. 1381 - 1389 |
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| Formato: | Artículo |
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Springer Nature
Jun2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=156858673&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 156858673 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21981833 NENI jtl: Journal of Public Health: From Theory to Practice (2198-1833) issn: 21981833 maglogo: N pubinfo: dt: Jun2022 vid: 30 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 156858673 10.1007/s10389-020-01463-0 ppf: 1381 ppct: 8 formats: tig: atl: Dietary habits and exercise patterns among high school students in Mississippi. aug: au: Liew, Hui-Peng affil: Department of Sociology, The University of Nebraska at Kearney, Copeland Hall 120, 68849, Kearney, NE, USA su: Mississippi Food habits Cross-sectional method Exercise Health behavior Psychology of high school students Health promotion Scientific observation Descriptive statistics Research funding Cluster analysis (Statistics) Data analysis software sug: subj: Food habits Cross-sectional method Exercise Health behavior Psychology of high school students Health promotion Mississippi Scientific observation Descriptive statistics Research funding Cluster analysis (Statistics) Data analysis software keyword: Adolescents Association rules mining Cluster analysis Dietary behaviors Adolescents Association rules mining Cluster analysis Dietary behaviors ab: Aim: The period of adolescence (between ages 10 to 19) is characterized by a critical period of development and establishment of eating behaviors and preferences. Obesity and unhealthy eating remain important public health challenges among adolescents in Mississippi. This study seeks to uncover the major patterns of dietary habits in relation to physical activity of students using Association Rules Mining (ARM). Subject and methods: This is a cross-sectional, non-experimental study conducted at the Cleveland High School, located in Cleveland, Mississippi. Cluster analysis and Association Rules Mining (ARM) were used to identify dietary habits and physical activity behaviors that may be associated with being overweight. Results: Findings from cluster analysis and association rules mining (ARM) reveal that students have a combination of healthy and unhealthy food profiles, but students assigned to the second cluster tend to exercise more than others. Conclusion: It is imperative to broaden the implementation of and investment in effective health promotion to make students aware of the health implications associated with food consumption and eating patterns. Limiting exposure to fast food and sweetened, carbonated beverages could, therefore, have a large public health impact, especially among students who are overweight. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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