Alcohol Consumption Among Students Essay

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Globally, consumption of alcohol has resulted in public health concerns in many nations, and it is among the risk behaviors in many college students. Alcohol consumption has a significant impact on the overall performance of students, such as risky sexual behaviors, substance abuse, fights, poor academic performance, and injuries (Htet et al., 2020). However, the study examines the prevalence of alcohol among college students and the neighborhood surrounding since many studies have not focused on the impact of the environment on alcohol consumption among college students. The study also portrays many factors that lead to alcohol consumption among college students.

Table 1.0 shows that the respondents who filled the age section were 216 and the minimum age was 20 years, and the maximum age was 54 years. College students are matured enough to make their own decisions despite being associated with alcoholism, resulting in risky behaviors among the students.

Table 1.0: Age of the respondents

Descriptive Statistics
ageValid N (listwise)
N216216
Range34.00
Minimum20.00
Maximum54.00
Sum5552.00
Mean25.7037
Std. Deviation4.69787
Variance22.070

From the Chi-square tests in table 2.0, the relationship between the rate of students drinking alcohol and the neighborhood selling or using drugs is insignificant. This is because the p-value is greater than 0.05. However, this differs from Jones-Webb and Karriker-Jaffe (2013), their findings show that neighborhood with high drugs activity increases the consumption alcohol among students.

Table 2.0: How often do you have a drink containing alcohol? * People sell or use drugs in my neighborhood

Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square16.313a12.177
Likelihood Ratio15.91112.195
Linear-by-Linear Association2.1541.142
N of Valid Cases220
a. 5 cells (25.0%) have expected count less than 5. The minimum expected count is 1.69.

Table 3.0: How often do you have a drink containing alcohol? * People in this neighborhood generally get along with each other

Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square12.643a12.396
Likelihood Ratio16.29412.178
Linear-by-Linear Association.0011.970
N of Valid Cases220
a. 9 cells (45.0%) have expected count less than 5. The minimum expected count is.65.

According to Davis and Grier (2015), areas with high poverty rates have a higher level of alcohol consumption. Urbanicity has a significant impact on alcohol consumption (Davoren et al., 2016). Regarding reasons for alcohol consumption, Freitas et al.’s (2020) study shows that many students consume alcohol because of their leisure agendas.

References

Davis, B., & Grier, S. (2015). Journal of business research, 68(10), 2109-2116. Web.

Davoren, M., Demant, J., Shiely, F., & Perry, I. (2016). BMC Public Health, 16(1). Web.

Freitas, H., Henriques, S., Uvinha, R., Lusby, C., & Romera, L. (2020). International journal of the sociology of leisure, 3(4), 389-399. Web.

Htet, H., Saw, Y., Saw, T., Htun, N., Lay Mon, K., & Cho, S. et al. (2020). PLOS ONE, 15(2), e0229329. Web.

Jones-Webb, R., & Karriker-Jaffe, K. (2013). Neighborhood disadvantage, high alcohol content beverage consumption, drinking norms, and drinking consequences: A mediation analysis. Journal of urban health, 90(4), 667-684. Web.

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