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Record W4415951062 · doi:10.9734/ajmah/2025/v23i111316

Assessment of Adolescents Knowledge of Sexuality Education, Menstrual Hygiene and Utilization of Youth Friendly Services in Ondo State

2025· article· W4415951062 on OpenAlexaff
Ayokunle Oluwasegun Kajero, Olubiyi Love Ogundipe, Kunle Paulinus Omode, Oluwasayo A. Olatunde, Koleowo Oluwagbemiga, Agunbiade Opeyemi, Adewale-Aro Olaide, Guilavogui Jean Paul Yassa

Bibliographic record

VenueAsian Journal of Medicine and Health · 2025
Typearticle
Language
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsReproductive healthCasualHuman sexualitySexuality educationHuman immunodeficiency virus (HIV)Descriptive statisticsService providerSexual intercourse

Abstract

fetched live from OpenAlex

Adolescents face heightened risks related to sexual and reproductive health (SRH) due to early sexual debut, limited knowledge, stigma, and poor access to youth-friendly health services (YFHS). This cross-sectional study assessed awareness, knowledge, and utilization of SRH services among secondary school students in Ondo State, Nigeria. A total of 221 students from four schools—Babcock University High School (BUHS), Wexford College, CAC Grammar School, and Impact High School—were surveyed using a structured questionnaire. Data were analysed using descriptive statistics and regression analysis. Findings indicate that awareness of sexuality education (34%) and drug abuse (35%) were low, awareness of youth-friendly services was considerably lower at 4% in some schools. Utilization of youth-friendly clinics was also minimal. Misconceptions about HIV transmission persisted, including beliefs about casual contact. The findings underscore significant gaps between awareness and service utilization, highlighting structural, sociocultural, and stigma-related barriers. The study recommends intensified awareness creation, improved methods of implementation rather than just integration of SRH education into school curricula, and improved availability of adolescent-friendly health services.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.113
GPT teacher head0.495
Teacher spread0.382 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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