2022
DOI: 10.3389/fgwh.2022.878779
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Differentials in Contraceptive Use Among Selected Minority Ethnic Groups in Nigeria

Abstract: Ethnicity is one of the critical factors that shape contraceptive use in Nigeria. While there are growing disparities in contraceptive uptake among women of reproductive age in the three major ethnic groups (Hausa, Igbo and Yoruba), not much is known about differentials in contraceptive use among the minority ethnic groups. This study examined differentials in contraceptive use among a sample of 1,072 respondents comprising the Ebira (352), Igala (358) and Okun (361) ethnic groups in Nigeria. Questionnaire was… Show more

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“…The following study covariates were used and selected based on previous studies, the PROGRESS framework [ 18 , 19 ], and data available in the ENSANUT-2018. For the assessment of inequalities, the variables used were age group (15 to 19 years, 20 to 29 years, 30 to 39, years, and 40 to 49 years) [ 7 , 9 , 20 ]; educational level (up to primary, secondary, higher) [ 6 , 7 ]; currently working (no, yes) [ 21 ]; ethnicity (“non-indigenous” for individuals who self-reported as afro-ecuatorian, white, mestizo, montubio, or others, and “indigenous” for those who self-reported as indigenous) [ 22 , 23 ]; and, area of residence (rural, urban). The following variables were used for the analysis of associated factors: age group (15 to 19 years, 20 to 29 years, 30 to 39, years, and 40 to 49 years) [ 7 , 9 , 20 ]; educational level (up to primary, secondary, higher) [ 21 ]; marital status (married, cohabiting) [ 10 ]; currently working (no, yes); parity (0 to 1, 2, 3 or more children) [ 24 , 25 ]; ethnicity (indigenous, non-indigenous) [ 23 ]; health insurance (yes, no) [ 26 ]; area of residence (rural, urban) [ 7 ]; region of residence (Highlands, Coast, Amazon, Island) [ 13 ]; and wealth quintile (“very poor”, “poor”, “medium”, “rich”, and “very rich”) [ 6 , 7 ].…”
Section: Methodsmentioning
confidence: 99%
“…The following study covariates were used and selected based on previous studies, the PROGRESS framework [ 18 , 19 ], and data available in the ENSANUT-2018. For the assessment of inequalities, the variables used were age group (15 to 19 years, 20 to 29 years, 30 to 39, years, and 40 to 49 years) [ 7 , 9 , 20 ]; educational level (up to primary, secondary, higher) [ 6 , 7 ]; currently working (no, yes) [ 21 ]; ethnicity (“non-indigenous” for individuals who self-reported as afro-ecuatorian, white, mestizo, montubio, or others, and “indigenous” for those who self-reported as indigenous) [ 22 , 23 ]; and, area of residence (rural, urban). The following variables were used for the analysis of associated factors: age group (15 to 19 years, 20 to 29 years, 30 to 39, years, and 40 to 49 years) [ 7 , 9 , 20 ]; educational level (up to primary, secondary, higher) [ 21 ]; marital status (married, cohabiting) [ 10 ]; currently working (no, yes); parity (0 to 1, 2, 3 or more children) [ 24 , 25 ]; ethnicity (indigenous, non-indigenous) [ 23 ]; health insurance (yes, no) [ 26 ]; area of residence (rural, urban) [ 7 ]; region of residence (Highlands, Coast, Amazon, Island) [ 13 ]; and wealth quintile (“very poor”, “poor”, “medium”, “rich”, and “very rich”) [ 6 , 7 ].…”
Section: Methodsmentioning
confidence: 99%