Clustering of Physical Activity, Sleep, Diet, and Screen-Based Device Use Associated with Self-Rated Health in Adolescents.
Background: Little is known about how the interplay among health-related behaviors impacts self-rated health (SRH). We examined the clustering of physical activity (PA), sleep, diet, and specific screen-based device use, and the associations between the emergent clusters and SRH among Brazilian adol...
| Publicado en: | International Journal of Behavioral Medicine Vol. 29; no. 5; pp. 587 - 597 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2022
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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=ccm&AN=159440553&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159440553 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10705503 7M2 jtl: International Journal of Behavioral Medicine issn: 10705503 maglogo: N pubinfo: dt: Oct2022 vid: 29 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 159440553 154641147 159440553 159440553 10.1007/s12529-021-10043-9 159440553 ppf: 587 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Clustering of Physical Activity, Sleep, Diet, and Screen-Based Device Use Associated with Self-Rated Health in Adolescents. aug: au: Knebel, Margarethe Thaisi Garro Matias, Thiago Sousa Lopes, Marcus Vinicius Veber dos Santos, Priscila Cristina da Silva Bandeira, Alexsandra da Silva, Kelly Samara affil: School of Sports, Research Centre in Physical Activity and Health, Federal University of Santa Catarina, 88040-900, Florianópolis, SC, Brazil sug: subj: Health Behavior Physical Activity Diet Sleep Screen Time Health Status In Adolescence Self Report Human Male Female Adolescence Brazil Cross Sectional Studies Fruit Vegetables Food, Commercially Packaged Exercise Multiple Logistic Regression Games Computers and Computerization Cellular Phone Risk Taking Behavior Health Promotion Test-Retest Reliability Questionnaires Checklists Spearman's Rank Correlation Coefficient Intraclass Correlation Coefficient Sedentary Behavior Descriptive Statistics Confidence Intervals Data Analysis Software Adolescent: 13-18 years Male Female ab: Background: Little is known about how the interplay among health-related behaviors impacts self-rated health (SRH). We examined the clustering of physical activity (PA), sleep, diet, and specific screen-based device use, and the associations between the emergent clusters and SRH among Brazilian adolescents. Method: The data used in this cross-sectional study were from the baseline of the Movimente Program. Self-reported data were analyzed. SRH was recorded as a 5-point scale (from poor to excellent). Daily duration of exposure to the computer, the television, the cell phone, and games; PA; sleep; and weekly consumption of fruits and vegetables and ultra-processed foods were included in a Two-Step cluster analysis. Multilevel ordered logistic regressions assessed the associations between the clusters and SRH. Results: The data of 750 students (girls: 52.8%, 13.1 ± 1.0 years) were analyzed. Good SRH was more prevalent (52.8%). Three clusters were identified: the Phubbers (50.53%; characterized by the longest cell phone use duration, shortest gaming and computer use, lowest PA levels, and low consumption of fruits and vegetables), the Gamers (22.80%; longest gaming and computer use duration, PA < sample average, highest intake of ultra-processed foods), and a Healthier cluster (26.67%; physically active, use of all screen-based devices < sample average, and healthier dietary patterns). For both Gamers (−0.85; 95% CI −1.24, −0.46) and Phubbers (−0.71; 95% CI −1.04, −0.38), it was found a decrease in the log-odds of being in a higher SRH category compared with the Healthier cluster. Conclusion: Specific clusters represent increased health-related risk. Assuming the interdependence of health-related behaviors is indispensable for accurately managing health promotion actions for distinguishable groups. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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