Turkish Adolescent Health Risk Behaviors and Self-Esteem

2011 ◽  
Vol 39 (2) ◽  
pp. 219-227 ◽  
Author(s):  
Emine Geçkil ◽  
Özlem Dündar

We examined health risk behaviors and self-esteem of 1,361 adolescents in Adiyaman, Turkey. The data were obtained using the Health Risk Behaviors Scale (HRBS; Çimen & Savaşer, 2003) and the Rosenberg Self-Esteem Scale (SES; Rosenberg, 1965). The most frequent predictor of risky behavior in adolescents was physical activity. Nutrition, psychosocial, hygiene, and substance abuse issues were also significant predictors of risky behavior. The results indicated that age, year at school (grade), gender, self-esteem, and school performance all had a strong impact on health risk behaviors. Adolescents must be made aware of health risk issues associated with physical activity, nutrition, hygiene, and substance abuse.

2020 ◽  
Vol 38 ◽  
Author(s):  
Michael Pereira da Silva ◽  
Ana Beatriz Pacífico ◽  
Thiago Silva Piola ◽  
Edmar Roberto Fantinelli ◽  
Edina Maria de Camargo ◽  
...  

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.


2006 ◽  
Vol 22 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Tsu-Yin Wu ◽  
Sherry E. Rose ◽  
Joanna M. Bancroft

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.


Author(s):  
Kristin Thomas ◽  
Evalill Nilsson ◽  
Karin Festin ◽  
Pontus Henriksson ◽  
Mats Lowén ◽  
...  

Background: The health behaviors smoking, risky alcohol consumption, insufficient physical activity, and poor diet constitute the main contributors to non-communicable diseases. Clustering of risk behaviors is common and increases the risk of these diseases. Despite health benefits, it is difficult to change health behaviors. Psychosocial factors could play a role in health behavior change, with research showing relationships between unfavorable psychosocial factors and health risk behaviors. However, many studies only investigated one or two health behaviors at a time. The present study, therefore, aimed to investigate associations between a broad range of psychosocial factors and multiple health risk behaviors in a general middle-aged population in Sweden. Methods: A cross-sectional design was used to investigate a random sample from the general population in Sweden (n = 1007, 45–69 years, 50% women). Questionnaire data on health behaviors (smoking, alcohol consumption, physical activity, and fruit/vegetable intake) and psychosocial factors, with both psychological and social resources (social integration, emotional support, perceived control, self-esteem, sense of coherence and trust) and psychological risk factors (cynicism, vital exhaustion, hopelessness and depressiveness), were analyzed. Logistic and ordinal logistic regression were used to analyze associations between psychosocial factors and multiple (0–1, 2 or 3–4) health risk behaviors. Results: A total of 50% of the sample had two health risk behaviors and 18% had three health risk behaviors. After adjusting for age, sex, education, employment status, and immigrant status, eight out of 10 psychosocial factors (exceptions: social integration and self-esteem) showed significant odds ratios (ORs) in the expected directions; low levels of psychosocial resources and high levels of psychosocial risk factors were associated with multiple risk behaviors. The strongest associations with multiple risk behaviors were seen for vital exhaustion (adjusted (adj.) OR 1.28; confidence interval (CI) 1.11–1.46), depressiveness (adj. OR 1.32, CI 1.14–1.52), and trust (adj. OR 0.80, CI 0.70–0.91). When controlling for all psychosocial factors in the same model, only the association with trust remained statistically significant (adj. OR 0.89, CI 0.73–1.00, p = 0.050). Associations with individual health behaviors were fewer and scattered, with no psychosocial factor being related to all four behaviors. Conclusions: Examining associations between a broad range of psychosocial factors and multiple health risk behaviors revealed consistent and significant associations for almost all psychosocial factors. These associations were stronger compared to associations to single health risk behaviors. Our findings support the relevance of considering psychosocial aspects in interventions aimed at health behavior change, especially for people with multiple health risk behaviors.


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

2015 ◽  
Vol 12 (6) ◽  
pp. 776-781 ◽  
Author(s):  
Ashley Walker ◽  
Jody Langdon ◽  
Krystina Johnson

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.


2012 ◽  
Vol 02 (01) ◽  
pp. 72-78
Author(s):  
Jennifer A. Pintar ◽  
Kristi L. Storti ◽  
Vincent C. Arena ◽  
Robert J. Robertson ◽  
Elizabeth F. Nagle ◽  
...  

2010 ◽  
Author(s):  
Tamara Calnan ◽  
Brittany Weaver ◽  
Cura Benally ◽  
Autumn Santiago

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