International Journal of Social Science & Economic Research
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Title:
INFRASTRUCTURAL FACILITIES AS PREDICTORS OF STUDENTS' UNIVERSITY LIFE ADJUSTMENT AND MENTAL HEALTH STATUS

Authors:
Akpunne Bede C., Akinniyi Rotimi J., Lawrence Adeyemi D.

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Akpunne Bede C., Akinniyi Rotimi J., Lawrence Adeyemi D.
Department of Behavioral Studies, College of Management and Social Sciences, Redeemer's University, Ede, Osun state, Nigeria.

MLA 8
Bede C., Akpunne, et al. "INFRASTRUCTURAL FACILITIES AS PREDICTORS OF STUDENTS' UNIVERSITY LIFE ADJUSTMENT AND MENTAL HEALTH STATUS." Int. j. of Social Science and Economic Research, vol. 3, no. 4, Apr. 2018, pp. 1612-1630, ijsser.org/more2018.php?id=110. Accessed 2018.
APA
Bede C., A., Rotimi J., A., & Adeyemi D., L. (2018, April). INFRASTRUCTURAL FACILITIES AS PREDICTORS OF STUDENTS' UNIVERSITY LIFE ADJUSTMENT AND MENTAL HEALTH STATUS. Int. j. of Social Science and Economic Research, 3(4), 1612-1630. Retrieved from ijsser.org/more2018.php?id=110
Chicago
Bede C., Akpunne, Akinniyi Rotimi J., and Lawrence Adeyemi D. "INFRASTRUCTURAL FACILITIES AS PREDICTORS OF STUDENTS' UNIVERSITY LIFE ADJUSTMENT AND MENTAL HEALTH STATUS." Int. j. of Social Science and Economic Research 3, no. 4 (April 2018), 1612-1630. Accessed , 2018. ijsser.org/more2018.php?id=110.

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Abstract:
This study examined the influence of infrastructural facilities on university life adjustment and mental health status of undergraduates in a Nigerian University. 203 participants made up of 96 males and 107 females were purposively selected and responded to School Infrastructure Questionnaire (SIQ), University Adjustment Scale (UAS), and the General Health Questionnaire (GHQ-12). Descriptive and inferential statistics were used for data analysis. 48% of the sample were well adjusted, 40.1% were moderately adjusted while 11.4% reported maladjustment. There was a 51.5% prevalence of poor mental health among the sample. No observed significant gender difference on University Life Adjustment (ULA); statistically significant gender influence was observed on poor mental health status with males reporting a higher mean score respondents [t (203) = 3.153, P < 0.05]. Conditions of school infrastructural facilities significantly predicted ULA [F (1, 203) = 13.33, P<0.05, ???? 2= .062,] as well as mental health status of the participants [F (1, 203) = 6.68, P<0.05, ???? 2= .032]. There is a high prevalence of poor mental health and maladjustment among the sample. More research efforts on the influence of school climate on the mental health of members of university communities should be carried out