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All Journal Indonesian Journal of Innovation and Applied Sciences (IJIAS) Indonesian Journal of Community Services
Omwenga, Michael Keari
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Social Sciences

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Influence of Drug Substance on Conduct Disorders Among Children at Manga Institution, Kisii, Kenya Omwenga, Michael Keari
Indonesian Journal of Community Services Vol. 4 No. 1 (2025): May
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijcs.v4i1.1852

Abstract

The prevalence of global conduct disorder (CD) among juvenile offenders ranges from 2 to 10%, making it a significant problem. This study sought to investigate the influence of drug and substance abuse on conduct disorder among young offenders. The study used a descriptive research design. There were 250 target populations. 68 juvenile offenders were chosen as sample size using basic random and census sampling techniques. A modified CDS questionnaire and interview guide aimed at FGDS participants and key informants were used to collect primary data. Descriptive accounts were used, and SPSS was used to evaluate the qualitative data. Descriptive and inferential statistical methods were used to analyze quantitative data, and tables and figures were used to display the findings. The study's findings, the majority of participants (68.3%) were first-time offenders, and they hardly ever had symptoms of a serious conduct issue. However, there was a substantial, positive, and significant (p<0.05) association between CD and family variables (r=0.797), drug and substance misuse (r=0.906), ADHD (r=0.895) among juvenile offenders, the results also showed that conduct disorder was positively and statistically significantly impacted by the independent variables that were utilized in the study, including drugs and substance misuse.
Effects of Climate Change and Artificial Intelligence on Mental Health and Academic Performance in Kenya Omwenga, Michael Keari
Indonesian Journal of Innovation and Applied Sciences (IJIAS) Vol. 5 No. 3 (2025): October-January
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijias.v5i3.2249

Abstract

Mental health conditions such as Stress, anxiety, trauma, and existential issues are all made worse by the increased frequency of catastrophic weather events and environmental degradation brought on by climate change. Potential solutions to lessen the negative effects of climate change on mental health are provided by digital advancements, especially artificial intelligence (AI) and digital phenotyping. Access and solution adoption concerns must be carefully considered when integrating digital tools into climate-related mental health care. The objective of the study was to address the effects of climate change on mental health and the scalability of digital interventions through cooperation amongst students. The study adopted a cross-sectional study design targeting college students in the Kisii region, Kenya. The convenience sampling method was used to sample 359 participants who were distributed questionnaires. Variables were examined using partial least squares-structural equation modelling (PLS-SEM), and data analysis was conducted using the specialized statistical programme SmartPLS in conjunction with multiple linear regression and confirmatory factor analysis (CFA). The results demonstrate that students' educational achievement and mental wellness are impacted by both the environment and artificial intelligence (AI). Additionally, the positive effects of AI and climate change on academic performance and mental health are amplified by digital learning, which serves as a positive moderating factor. These findings contribute to the discussion about using technology to improve education by showing how implementing AI and addressing climate change might benefit student performance and well-being.
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