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Prevalence and Correlates for Psychosocial Distress Among In-School Adolescents in Zambia

Overview of attention for article published in Frontiers in Public Health, July 2015
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Title
Prevalence and Correlates for Psychosocial Distress Among In-School Adolescents in Zambia
Published in
Frontiers in Public Health, July 2015
DOI 10.3389/fpubh.2015.00180
Pubmed ID
Authors

Seter Siziya, Mazyanga Lucy Mazaba

Abstract

There is scanty information on correlates for psychosocial distress in Zambia. Secondary analysis was conducted using the data collected in 2004 in Zambia during the global school-based health survey to determine the prevalence and correlates for psychosocial distress. Logistic regression analyses were used to estimate magnitudes of associations between exposure factors and the outcome, while the Yates' corrected Chi-squared test was used to compare proportions at the 5% significance level. A total of 2257 students participated in the survey of which 54.2% were males. Males were generally older than females (p < 0.001). Significantly, more females than males were bullied (p = 0.036), involved in a fight (p = 0.019), and consumed alcohol (p = 0.012). Psychosocial distress was detected in 15.7% of the participants (14.4% of males and 16.8% of females). Age <14 years, male gender, parental support for males, and having close friends were protective factors against psychosocial distress. Risk factors for psychosocial distress were being bullied, involvement in a fight, alcohol consumption, being physically active, and parental support. The prevalence of psychosocial distress among adolescents in Zambia appears to be common. There is a need to validate the psychosocial distress indicators that were used in the current study.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 26%
Student > Doctoral Student 3 7%
Lecturer 2 5%
Other 2 5%
Lecturer > Senior Lecturer 2 5%
Other 7 16%
Unknown 16 37%
Readers by discipline Count As %
Nursing and Health Professions 7 16%
Psychology 6 14%
Medicine and Dentistry 6 14%
Social Sciences 4 9%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 18 42%