scholarly journals Associations between physical activity, sedentary behavior, and health risk behaviors among adolescents from a city in Southern Brazil

2019 ◽  
Vol 24 ◽  
pp. 1-10
Author(s):  
Michael Pereira Da Silva ◽  
Fabio Eduardo Fontana ◽  
Gregory J. Welk ◽  
Pedro F. Saint-Maurice ◽  
Edmar Roberto Fantineli ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Risk ◽  
Sedentary Behavior ◽  
Risk Behaviors ◽  
Vegetable Consumption ◽  
Binary Logistic Regression ◽  
Tobacco Consumption ◽  
Health Risk Behaviors ◽  
Excessive Alcohol ◽  
Youth Activity

This study examined the independent and combined associations of physical activity (PA) and sedentary behavior (SB) with health risk behaviors in Brazilian adolescents. Participants were 893 adolescents (454 girls) from Curitiba, Brazil. The Youth Activity Profile questionnaire evaluated PA and the Adolescent Sedentary Questionnaire evaluated SB. The Youth Risk Behavior Surveillance System (YRBS) questionnaire evaluated fruit, vegetable, alcohol, and tobacco consumption. Binary Logistic regression measured the independent and combined associations of PA and SB with risk behaviors. PA was inversely associated with low fruit (OR = 0.30; 95%CI: 0.18-0.51) and vegetable consumption (OR = 0.43; 95%CI: 0.25-0.73), and tobacco use (OR = 0.52; 95%CI: 0.29-0.89). However, PA was positively associated with mild (OR = 1.54; 95%CI: 1.08-2.19) and excessive alcohol use (OR = 1.53; 95%CI: 1.01-2.33). Higher levels of PA were associated with reduced risks of smoking and healthier eating patterns, but higher likelihood of alcohol consumption.

scholarly journals Living with a Smoker and Multiple Health-Risk Behaviors

2020 ◽  
Author(s):  
Charles J Holahan ◽  
Carole K Holahan ◽  
Sangdon Lim ◽  
Daniel A Powers
Keyword(s):  
Physical Activity ◽  
Health Risk ◽  
Risk Behavior ◽  
Risk Behaviors ◽  
Binary Logistic Regression ◽  
Health Risk Behaviors ◽  
Smoking Prevention ◽  
Health Risk Behavior ◽  
Multiple Risk ◽  
Multiple Health

Abstract Background Behavioral medicine is showing growing theoretical and applied interest in multiple health-risk behaviors. Compared to engaging in a single health-risk behavior, multiple health-risk behaviors are linked to increased morbidity and mortality. A contextual determinant of multiple risk behaviors may be living with a smoker. Purpose This study investigated the role of living with a smoker in predicting multiple health-risk behaviors compared to a single health-risk behavior, as well as whether these multiple risk behaviors occur across both physical activity and dietary domains. Moreover, the study tested these effects across 3 years in longitudinal and prospective (controlling for health-risk behaviors at baseline) analyses. Methods Participants were 82,644 women (age M = 63.5, standard deviation = 7.36, age range = 49–81) from the Women’s Health Initiative Observational Study. Analyses used multinomial and binary logistic regression. Results Living with a smoker was more strongly associated with multiple health-risk behaviors than with a single health-risk behavior. These multiple risk behaviors occurred across both physical activity and dietary domains. The effects persisted across 3 years in longitudinal and prospective analyses. Living with a smoker, compared to not living with a smoker, increased the odds of multiple health-risk behaviors 82% cross-sectionally and, across 3 years, 94% longitudinally and 57% prospectively. Conclusions These findings integrate research on multiple health-risk behaviors and on living with a smoker and underscore an unrecognized public health risk of tobacco smoking. These results are relevant to household-level interventions integrating smoking-prevention and obesity-prevention efforts.

scholarly journals ASSOCIATION BETWEEN PHYSICAL ACTIVITY PRACTICE AND CLUSTERING OF HEALTH RISK BEHAVIORS IN ADOLESCENTS

2020 ◽  
Vol 38 ◽  
Author(s):  
Michael Pereira da Silva ◽  
Ana Beatriz Pacífico ◽  
Thiago Silva Piola ◽  
Edmar Roberto Fantinelli ◽  
Edina Maria de Camargo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Health Risk ◽  
Risk Behaviors ◽  
Multinomial Logistic Regression ◽  
Health Risk Behaviors ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Lower Odds ◽  
High Participation

ABSTRACT Objective: To verify the association between participation in physical activity (PA) and the clustering of health risk behaviors (HRB) in adolescents of both genders. Methods: A cross-sectional study involving 862 adolescents (11 to 17 years old) enrolled in 14 randomly selected public schools from Curitiba, Paraná, Brazil. Participation in PA, screen time, consumption of fruit, vegetables, cigarettes and alcoholic beverages were the criteria evaluated. Multinomial logistic regression tested the association between participation in PA and clustering of HRB, and results are expressed Odds Ratio (OR) with 95% confidence intervals (95%CI). Results: Adolescents with high participation in PA had lower odds of clustering 2-3 HRB (OR 0.38, 95%CI 0.21-0.68; p<0.01) and 4-5 HRB (OR 0.29; 95%IC 0.16-0.53; p<0.01). Boys with high participation in PA had lower chances of clustering 2-3 HRB (OR 0.31, 95%CI 0.13-0.75; p=0.01), and girls had lower odds of clustering 2-3 HRB (OR 0.41; 95%CI 0.17-0.99; p=0.04) and 4-5 HRB (OR 0.25; 95%CI 0.10-0.61; p<0.01). Conclusions: High participation in PA was inversely associated with the clustering of HRB in adolescents.

Gender Differences in Health Risk Behaviors and Physical Activity Among Middle School Students

2006 ◽  
Vol 22 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Tsu-Yin Wu ◽  
Sherry E. Rose ◽  
Joanna M. Bancroft
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
Gender Differences ◽  
Middle School Students ◽  
Health Risk ◽  
Risk Behaviors ◽  
School Setting ◽  
Health Risk Behaviors ◽  
Urban Setting ◽  
School Students

Adolescence is a period of accelerated growth and change, bridging the complex transition from childhood to adulthood. This period offers adolescents an opportunity to begin planning for their futures and to adopt healthy attitudes about risk behaviors that can continue into adulthood, thus setting the stage for a lifetime of desirable health behaviors. This study used the Youth Risk Behavior Survey on middle school students and examined the gender differences of health risk behaviors among 674 8th-graders from an urban setting. The results showed that males were more likely to be involved in fights, to initiate alcohol use, and to participate in physical activity; whereas females were more likely to try to lose weight with unhealthy practices, such as fasting and laxatives. School nurses are in a prime position to promote adolescent health in the school setting by providing health-related services and teaching to help students initiate and maintain healthy lifestyles.

The Association Between Physical Activity And Health Risk Behaviors in Brazilian Adolescents

2017 ◽  
Vol 49 (5S) ◽  
pp. 970
Author(s):  
Fabio E. Fontana ◽  
Michael P. Da Silva ◽  
Edmar R. Fantineli ◽  
Nicolau Malta ◽  
Gabriela C. Martins ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Risk ◽  
Risk Behaviors ◽  
Health Risk Behaviors

Relationships Among Meeting Physical-Activity Guidelines and Health Risk Behaviors

2015 ◽  
Vol 12 (6) ◽  
pp. 776-781 ◽  
Author(s):  
Ashley Walker ◽  
Jody Langdon ◽  
Krystina Johnson
Keyword(s):  
Physical Activity ◽  
Health Risk ◽  
Binge Drinking ◽  
Risk Behaviors ◽  
Tobacco Use ◽  
Health Risk Behaviors ◽  
College Health ◽  
Data Set ◽  
Physical Activity Guidelines ◽  
The Relationship

Background:Young adults have the highest participation in physical activity but also have the highest incidence rates of binge drinking, cigarette smoking, and smokeless tobacco use. We examined these factors to determine whether there are relationships among physical activity and health risk behaviors.Methods:We conducted correlation and χ2 analyses using the American College Health Association-National College Health Assessment fall 2009 data set (N = 34,208) to examine the relationship among meeting physical-activity guidelines, binge drinking, and tobacco use among survey participants.Results:The data suggest a positive relationship between meeting physical-activity guidelines and binge drinking, with the strongest relationship between those reporting binge drinking 4 times in a 2-week period. Meeting physical-activity guidelines was negatively associated with cigarette use but positively associated with all other types of tobacco use.Conclusion:Associations between physical activity and binge-drinking episodes indicate a need to address the relationship between heavy drinking and alcohol dependence and physical-activity behavior patterns. Further studies should examine relationships between physical activity and binge drinking in other age groups. Results also suggest the need to examine differing associations between physical activity and types of tobacco use.

scholarly journals What is the role of adolescent body mass index and physical activity on adult health risk behaviors?

2012 ◽  
Vol 02 (01) ◽  
pp. 72-78
Author(s):  
Jennifer A. Pintar ◽  
Kristi L. Storti ◽  
Vincent C. Arena ◽  
Robert J. Robertson ◽  
Elizabeth F. Nagle ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Health Risk ◽  
Risk Behaviors ◽  
Body Mass ◽  
Health Risk Behaviors ◽  
Adult Health

scholarly journals HEALTH RISK BEHAVIOR OF ADOLESCENT SCHOLARS

2016 ◽  
Vol 25 (4) ◽  
Author(s):  
Franck Nei Monteiro Barbosa ◽  
Cezar Augusto Casotti ◽  
Adriana Alves Nery
Keyword(s):  
Public Schools ◽  
Health Risk ◽  
Risk Behaviors ◽  
Dietary Habits ◽  
Tobacco Consumption ◽  
Health Risk Behaviors ◽  
Population Based ◽  
Simple Random Sample ◽  
Cross Sectional ◽  
Significance Level

ABSTRACT The aim of this study was to describe health risk behaviors among adolescents from secondary education in public schools in a city in Brazilian Northeast. Epidemiological cross-sectional, population-based study with a simple random sample. For the data, we used structured validated questionnaires. For data analysis, we used the chi-square Pearson test, with significance level of 5%. It has been found that physical inactivity is associated with the sex, age and studying shift. Tobacco consumption is significantly associated with sex, age, shift studying and alcohol consumption shift to studying, and age. As for poor dietary habits, consumption of fried foods is associated with shift in studying and sweets and sodas to shift on studying and age. Found a high prevalence of risk behaviors among adolescents, focused on policies needed health of this population.

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