A Cross-Sectional Study of Knowledge on Infertility Causes Among Reproductive-Age Women in
Mile 1, Diobu, Rivers State
Cosmas Nnadozie Ezejindu1, Chukwuebuka Godspower Eze2*, Ifeoma Vivian Ugwueke1, Martin Chinemerem Onuigbo3 and Linda Chidinma Chukwuemeka-Ani1
1Department of Public Health, Faculty of Allied Health Sciences, David Umahi Federal University of Health Sciences, Ebonyi State, Nigeria
2Department of Public Health, Faculty of Health Sciences, Abia State University, Uturu, Abia State, Nigeria
3Department of Pharmacy, Faculty of Pharmacy, Abia State University, Uturu, Abia State, Nigeria
*Corresponding Author: Chukwuebuka Godspower Eze, Department of Public Health, Faculty of Health Sciences, Abia State University, Uturu, Abia State, Nigeria.
Received:
June 03, 2025; Published: June 24, 2025
Abstract
This cross-sectional study examined factors influencing infertility knowledge, perceptions, and access to services among women aged 15 to 49 in three districts—Abba Street, Abakaliki Street, and Abonnema Road—in Mile 1 Diobu, Port Harcourt, Rivers State. Using multistage sampling, 384 respondents (128 per district) completed questionnaires assessing socioeconomic, educational, and occupational factors, along with proposed solutions to infertility challenges. Results showed socioeconomic status significantly affected access to infertility services, with 39.8%, 39.1%, and 41.4% of respondents in the three districts reporting strong influence. Education was identified as critical in increasing infertility knowledge, acknowledged by 37.5%, 35.9%, and 38.3% respectively. Occupation had a moderate impact, with about 28-30% indicating it significantly affects infertility risk. Increased awareness and education were the most favored solutions (38.3%-39.1%), followed by improved healthcare access (29.7%-30.5%) and reduced costs (23.4%-24.2%). Chi-square analysis revealed significant associations for age (χ² = 15.27, df = 6, p = 0.018), marital status (χ² = 14.11, df = 6, p = 0.029), and education (χ² = 19.54, df = 6, p = 0.003) with infertility knowledge and access, confirming their important roles. However, occupation (p = 0.207) and ethnicity (p = 0.320) were not significant, while religion (p = 0.055) was marginally non-significant, suggesting varied influences of these factors. This study underscores the need for targeted educational programs, improved healthcare services, and financial support to enhance infertility management in semi-urban Nigerian settings. Ethical clearance was obtained, and data were analyzed using SPSS version 20. The findings offer valuable insights for policymakers and healthcare providers addressing infertility in similar communities.
Keywords: Assessing; Knowledge; Causes; Infertility; Women of Reproductive Age
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