Authors :
Aminobiren Charles Omovidonor; Nama Kiinebari Faket
Volume/Issue :
Volume 11 - 2026, Issue 1 - January
Google Scholar :
https://tinyurl.com/ydwf3ve3
Scribd :
https://tinyurl.com/5fczy33a
DOI :
https://doi.org/10.38124/ijisrt/26jan1481
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Despite improvements in availability, young adults in many low- and middle-income countries still do not use
reproductive health (RH) services much. However, there is not much research on this in oil producing and semi urban areas
like Bonny Island, Nigeria. This study aims to model and understand how young adults in Bonny Island use RH services and
to find the social-demographic, knowledge based and access related factors that affect this use. A community based cross
sectional survey was done with 800 participants aged 15 – 29 years. The use of a single RH service was used to define RH
service utilization. A pretested questionnaire was used for the purpose of data collection. Descriptive statistics were used to
summarize the characteristics of the participants. Chi-square tests were then used to examine the relationships between
pairs of variables. In addition, multivariable logistic regression using cluster-robust standard errors was used to calculate
adjusted odds ratios (AORs) and 95% confidence intervals (CIs). The model’s performance was evaluated using the area
under the receiver operating curve (AUC), pseudo –R
2
and calibration metrics. This showed that 59.6% of the participants
reported using RH services. Furthermore, awareness of RH services was high, as 73.8% and 45.0% of the participants found
the service locations convenient. In the multivariable analysis, none of the predictors reached statistical significance, and the
effect estimates were small and uncertain, as indicated by confidence intervals that included one for all variables examined.
These included gender [AOR: 1.01, 95% CI: 0.73 – 1.41], age groups, education, awareness of RH services [AOR: 0.87, 95%
CI: 0.60 – 1.26], and service convenience [AOR: 0.86, 95% CI: 0.64 – 1.16]. The model showed poor discrimination [AUC:
0.549], had limited explanatory power (pseudo- R
2
) and demonstrated poor calibration. Traditional socio-demographic,
knowledge based and access related factors explained little of the RH service utilization observed among young people in
Bonny Island. The model’s weak performance and the wide confidence intervals suggest that unmeasured factors,
particularly service quality, confidentiality, stigma, and the nature of provider–youth interactions, are significant influences
on utilization.
Keywords :
Reproductive Health Services, Young Adults, Service Utilization, Logistic Regression, Bonny Island.
References :
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Despite improvements in availability, young adults in many low- and middle-income countries still do not use
reproductive health (RH) services much. However, there is not much research on this in oil producing and semi urban areas
like Bonny Island, Nigeria. This study aims to model and understand how young adults in Bonny Island use RH services and
to find the social-demographic, knowledge based and access related factors that affect this use. A community based cross
sectional survey was done with 800 participants aged 15 – 29 years. The use of a single RH service was used to define RH
service utilization. A pretested questionnaire was used for the purpose of data collection. Descriptive statistics were used to
summarize the characteristics of the participants. Chi-square tests were then used to examine the relationships between
pairs of variables. In addition, multivariable logistic regression using cluster-robust standard errors was used to calculate
adjusted odds ratios (AORs) and 95% confidence intervals (CIs). The model’s performance was evaluated using the area
under the receiver operating curve (AUC), pseudo –R
2
and calibration metrics. This showed that 59.6% of the participants
reported using RH services. Furthermore, awareness of RH services was high, as 73.8% and 45.0% of the participants found
the service locations convenient. In the multivariable analysis, none of the predictors reached statistical significance, and the
effect estimates were small and uncertain, as indicated by confidence intervals that included one for all variables examined.
These included gender [AOR: 1.01, 95% CI: 0.73 – 1.41], age groups, education, awareness of RH services [AOR: 0.87, 95%
CI: 0.60 – 1.26], and service convenience [AOR: 0.86, 95% CI: 0.64 – 1.16]. The model showed poor discrimination [AUC:
0.549], had limited explanatory power (pseudo- R
2
) and demonstrated poor calibration. Traditional socio-demographic,
knowledge based and access related factors explained little of the RH service utilization observed among young people in
Bonny Island. The model’s weak performance and the wide confidence intervals suggest that unmeasured factors,
particularly service quality, confidentiality, stigma, and the nature of provider–youth interactions, are significant influences
on utilization.
Keywords :
Reproductive Health Services, Young Adults, Service Utilization, Logistic Regression, Bonny Island.