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A comprehensive model of maternal health behavior: the interplay of sociodemographic and digital determinants in Nigeria.

استودیوی صوتی مقاله

پخش حرفه‌ای فارسی و انگلیسی

در حال بررسی نسخه‌های صوتی ذخیره‌شده…

صوت تولیدشده با هوش مصنوعی است. برای کاربرد علمی یا درمانی، متن و منبع اصلی را بررسی کنید.
خواندن هوشمند فارسی و انگلیسی در حال آماده‌سازی صداهای مرورگر…
تنظیم صدای طبیعی و سرعت

صداهایی که در نامشان «Natural»، «Neural» یا «Online» دیده می‌شود معمولاً طبیعی‌ترند. انتخاب صدا به صداهای نصب‌شده در ویندوز و مرورگر شما بستگی دارد.

چکیده اصلی

This study develops an integrated model to identify significant sociodemographic and digital determinants of maternal health service utilization among married women in Nigeria. A cross-sectional analysis of data from the 2018 Nigeria Demographic and Health Survey (NDHS) was conducted on 28,888 married women aged 15-49. All analyses were conducted using the Complex Samples module in IBM SPSS Statistics, applying design-corrected variance estimation appropriate for the stratified cluster design of the NDHS. The design-weighted prevalence of six or more antenatal care visits was 25%, and the prevalence of facility-based delivery was 28.7%. A comprehensive multivariate binary logistic regression model assessed influences on both outcomes. Higher education and household wealth were the strongest determinants. Mobile phone ownership was consistently and positively associated with both outcomes (OR = 1.29, 95%CI: 1.16-1.43 for antenatal care; OR = 1.36, 95%CI: 1.24-1.49 for facility delivery). Internet use was independently and positively associated with antenatal care attendance, while frequent internet use was independently and negatively associated with antenatal care attendance. Mobile financial transactions were associated with significantly lower odds of facility delivery. A complex interplay of structural inequities and digital influences shapes maternal health behavior in Nigeria. Policies must be multisectoral, addressing foundational determinants such as education and wealth, while recognizing that the impact of digital technology on health choices is not uniformly linear.

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