Masculinity In Adolescents

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Wickman, S. (2005). An examination of the five factors of personality, pubertal onset and alcohol usage in adolescent males. Masters theses & specialist projects. Paper 981. http://digitalcommons.wku.edu.libsrv.wku.edu/cgi/viewcontent.cgi?article=1984&context=theses

This study was conducted to determine the combined effects of early pubertal onset and certain personality characteristics on the alcohol usage demonstrated by adolescent males. The subjects for this study were 100 males in the sixth, seventh, and eighth grade in a medium sized city in the Midwestern United States. The mean age for these participants was 12.4 years, and the majority of the subjects (76.5%) were Caucasian. Parents and guardians supplied descriptive information
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These results demonstrated a correlation between alcohol usage and pubertal onset, but not between personality factors and alcohol consumption. Although onset and puberty and alcohol use were linked, the correlation was weak enough to indicate that other unknown factors are more influential of adolescent alcohol use.

Previous studies on adolescent alcohol usage and risk-taking behaviors have researched the five factors of personality and pubertal onset individually, but only one prior study tried to determine how the interaction of these factors influenced adolescent risk-taking behaviors. Adolescents experience a myriad of influential factors that affect their level of alcohol use and abuse, such as peers, media, and even themselves. This article demonstrates that early onset of puberty and individual personality traits are not the strongest influential factors for adolescent drinking
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Information was gathered from three sources including the Health Behavior in School-Aged Children 2010 survey, the Danish National Health Survey 2010, and Health Behavior in School-Aged Children School Leader Survey 2010. The subjects were gathered from these surveys, with the researchers including only the seventh and ninth graders. These two grades left 2,911 respondents and 51 schools for the analysis. Respondents were grouped by family structure and migration status before self-reported drinking behaviors were considered. Communities were determined by municipalities in which school were located, including 38 communities within this

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