Media accessibility and use-patterns on the occurrence of mental health conditions among youths in Nairobi City County, Kenya
Bibliographic Data
| ID | 15801221 |
|---|---|
| Authors | Merab Stacy Akinyi (Kenyatta University, corresponding author), John Paul Oyore (0000-0002-9738-6565, Kenyatta University), Alloys Stevens Sigar Orago (Kenyatta University) |
| Year | 2026 |
| Volume | 10 |
| Issue | 1 |
| Pages | 1-22 |
| Publication date | 2026-01-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Health Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2550-696X • E-ISSN: 2550-6978 |
| Publisher | Universidad Tecnica de Manabi (PUBLISHER • EC) |
| DOI | 10.53730/ijhs.v10n1.15858 |
| OpenAlex | W7119494712 |
| Language | EN |
| References cited | 6 |
Globally, MHC affects 10 to 20% of youths. Onset for 50% being 14 years. In Kenya, 1 in 10 suffered from a known MHC. Most active media use age-group was 26-35yrs. The study assessed the burden of media accessibility and use-patterns on the occurrence of MHC among youths in NCC, Kenya. Study design was analytical cross-sectional with quantitative and qualitative methods. Data collection involved SSQs, KIIs and FGDs with 24-KIIs and 2-FGDs being conducted. 385-participants selected using simple random sampling method and data analysis conducted using Advanced Excel including descriptive statistics and regression analysis. Transcribing, coding, and classifying was employed. Results indicated statistically significant difference in self-esteem scores between the two groups, t(766) = -2.84, p = .0047. Specifically, youths engaged in informal occupations (M = 19.01, SD ≈ 17.91) reported higher self-esteem compared to those in formal occupations (M = 15.42, SD ≈ 17.14). Employment type may influence how youths perceive their self-worth. Regression analysis showed, media use-patterns were not a statistically significant predictor of self-esteem among youths in NCC, β = -0.08, t(382) = 1.03, p = .30. Media literacy had a positive and statistically significant effect on self-esteem, β = 0.21, t(382) = 2.23, p = .03
Data collection · Descriptive statistics · Health literacy · Literacy · Media literacy · Mental health · Regression analysis · Significant difference · Simple random sample · Digital Mental Health Interventions · Impact of Technology on Adolescents · Media Influence and Health
| Citation velocity | historical |
|---|---|
| Highly cited | No |