인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
A growing body of evidence has shown the effects of poor preconception health on adverse pregnancy outcomes and, subsequently, maternal and child morbidity and mortality. However, the cost of poor preconception health remains relatively unexplored. Using the case of Nigeria, this study provides the first estimate of the disease and economic burden of poor preconception health at a country level. Using data from international databases and the scientific literature, the study used a cost-of-illness approach to quantify the foregone productivity and direct healthcare costs resulting from six preconception risk factors (adolescent pregnancy, short birth interval, overweight and obesity, intimate partner violence, female genital mutilation, folate deficiency). The results indicate that 6.7% of maternal deaths, 10.9% of perinatal deaths, and 10.5% of late neonatal deaths were attributable to the selected preconception risk factors in 2020. The economic burden of poor preconception health in Nigeria was estimated at US$ 3.3 billion in 2020, of which over 90% was generated by premature mortality. If prevalence rates remain constant, total economic losses could amount to US$ 46.2 billion by 2035. This analysis paves the way for further studies investigating the economic costs and benefits of preconception interventions and policies in low and middle-income countries.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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