Association of maternal insulin resistance with neonatal insulin resistance and body composition/size: a prospective cohort study in a sub-Saharan African population

Akinola Ibironke J.; Ubuane Peter O.; Dada Adeyemi O.; Chionuma Joy O.; Kuku-Kuye Taiwo O.; Olalere Folasade D.

doi:10.6065/apem.2346136.068

추천

검색

자료유형: 학술저널

저자정보: Akinola Ibironke J. (Department of Paediatrics and Child Health, Lagos State University College of Medicine/Lagos State University Teaching Hospital, Lagos, Nigeria) Ubuane Peter O. (Department of Paediatrics, Lagos State University Teaching Hospital, Lagos, Nigeria) Dada Adeyemi O. (Department of Chemical Pathology, Lagos State University College of Medicine/Lagos State University Teaching Hospital, Lagos, Nigeria) Chionuma Joy O. (Department of Obstetrics and Gynaecology, Lagos State University College of Medicine/Lagos State University Teaching Hospital, Lagos, Nigeria) Kuku-Kuye Taiwo O. (Department of Obstetrics and Gynaecology, Lagos State University College of Medicine/Lagos State University Teaching Hospital, Lagos, Nigeria) Olalere Folasade D. (Department of Obstetrics and Gynaecology, Lagos State University College of Medicine/Lagos State University Teaching Hospital, Lagos, Nigeria)

저널정보: 대한소아내분비학회 Annals of Pediatirc Endocrinology & Metabolism Annals of Pediatric Endocrinology & Metabolism Vol.29 No.1

발행연도: 2024.2

수록면: 19 - 28 (10page)

DOI: 10.6065/apem.2346136.068

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

Purpose: We prospectively evaluated the association of the insulin resistance of third-trimester Nigerian pregnant women with their newborn infants' insulin resistance and birth size. Pregnancy-associated insulin resistance (IR), often assessed with homeostatic model assessment of IR (HOMA-IR), is associated, especially among women with gestational diabetes (GDM), with abnormal neonatal birth size and body composition, predisposing the baby to metabolic disorders like diabetes and obesity. The associations of maternal IR with neonatal IR, birth size and body composition are less studied in nondiabetic pregnant women, especially in sub-Saharan settings like Nigeria.Methods: We originally recruited 401 third trimester, nondiabetic pregnant women to a prospective cohort study, followed up until birth. Blood samples of mothers and babies were obtained, respectively, at recruitment and within 24 hours postbirth for fasting serum glucose (FSG) and insulin (FSI) assays, and HOMA-IR was calculated as [(FSI × FSG)/22.5)].Results: Complete data for 150 mother-baby dyads was analysed: the mothers, with a mean (standard deviation [SD]) age of 31.6 (4.5) years, had live births at a mean (SD) gestational age of 39.2 weeks. The proportions of infants with wasting, stunting, impaired fetal growth (either wasting or stunted), small-for-gestation-age, large-for-gestational-age, low birthweight, and macrosomia were 4.2% (95% confidence interval, 1.1–10.3), 19.7% (12.9–28.0), 23.1% (15.8–31.8), 10.1% (5.3–17.0), 12.6% (7.2–19.9), 0.8% (0.02–4.5), and 5.0% (1.8–10.5), respectively. Maternal HOMA-IR was not associated with neonatal HOMA-IR (p=0.837), birth weight (p=0.416) or body composition measured with weight-length ratio (p=0.524), but birth weight was independently predicted by maternal weight (p=0.006), body mass index (p=0.001), and parity (p=0.012).Conclusion: In this nondiabetic/non-GDM cohort, maternal HOMA-IR was not associated with neonatal IR, body size or body composition. Larger studies are required to confirm these findings, with addi-tional inclusion of mothers with hyperglycaemia for comparison.

Purpose: We prospectively evaluated the association of the insulin resistance of third-trimester Nigerian pregnant women with their newborn infants' insulin resistance and birth size. Pregnancy-associated insulin resistance (IR), often assessed with homeostatic model assessment of IR (HOMA-IR), is associated, especially among women with gestational diabetes (GDM), with abnormal neonatal birth size and body composition, predisposing the baby to metabolic disorders like diabetes and obesity. The associations of maternal IR with neonatal IR, birth size and body composition are less studied in nondiabetic pregnant women, especially in sub-Saharan settings like Nigeria. Methods: We originally recruited 401 third trimester, nondiabetic pregnant women to a prospective cohort study, followed up until birth. Blood samples of mothers and babies were obtained, respectively, at recruitment and within 24 hours postbirth for fasting serum glucose (FSG) and insulin (FSI) assays, and HOMA-IR was calculated as [(FSI × FSG)/22.5)]. Results: Complete data for 150 mother-baby dyads was analysed: the mothers, with a mean (standard deviation [SD]) age of 31.6 (4.5) years, had live births at a mean (SD) gestational age of 39.2 weeks. The proportions of infants with wasting, stunting, impaired fetal growth (either wasting or stunted), small-for-gestation-age, large-for-gestational-age, low birthweight, and macrosomia were 4.2% (95% confidence interval, 1.1–10.3), 19.7% (12.9–28.0), 23.1% (15.8–31.8), 10.1% (5.3–17.0), 12.6% (7.2–19.9), 0.8% (0.02–4.5), and 5.0% (1.8–10.5), respectively. Maternal HOMA-IR was not associated with neonatal HOMA-IR (P=0.837), birth weight (P=0.416) or body composition measured with weight-length ratio (P=0.524), but birth weight was independently predicted by maternal weight (P=0.006), body mass index (P=0.001), and parity (P=0.012). Conclusion: In this nondiabetic/non-GDM cohort, maternal HOMA-IR was not associated with neonatal IR, body size or body composition. Larger studies are required to confirm these findings, with addi-tional inclusion of mothers with hyperglycaemia for comparison.

#Insulin resistance #adiposity #infant #anthropometry #INTERGROWTH-21ST

참고문헌 (0)

참고문헌 신청

참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

최근 본 자료

전체보기

구분	그룹	데이터 항목
AI 학습용 데이터	원문	원문 PDF 파일
AI 학습용 데이터	원문 + 메타 (기본/상세)	원문 PDF 파일 및 서지정보 CSV
대량 구매용 데이터	B2B 구독 방식	특정 자료 한정으로 원문 접근 권한 부여
대량 구매용 데이터	URL 전달 방식	바로 PDF 뷰어를 열람할 수 있는 URL 제공

구분	그룹	데이터 항목
AI 학습용 데이터	기본 메타	발행기관명, 간행물명, 권호명, 권(vol), 호(issue), 통권, 발행연도, 발행월, 논문명, 저자명, 시작페이지, 종료페이지, 전체페이지, 상세페이지URL
상세 메타 데이터	발행기관 메타	발행기관 이명, 영문명, 창립연도, 홈페이지URL, 발행기관 소개
	간행물 메타	부제목, 간행물 유형, ISSN, ISBN, 최초발행연도, 폐간연도, 간행빈도, 발행주기, 등재사항, 이용수, 피인용수, 권호수, 논문수, 표지이미지
	논문 메타	작성 언어, 부제목, 대등제목, 목차, 키워드, 초록, 이미지, 참고문헌, 이용수, 피인용수, 논문활용도, DBpia통합주제분류, KDC분류, DDC분류, 한국연구재단분류, UCI, DOI
	저자 메타	소속기관, 소속부서, 직급, 연구분야, 연구키워드, 이용수, 피인용수, 저자 논문활용도

구분	그룹	데이터 항목
※ 결합형/맞춤형 메타 데이터는 신청 내용에 따라 다양하게 제공 가능
이용순위 정보	주제분야별 많이 이용된 논문	“인문학”에서 많이 이용된 논문 TOP100
	이용기관별 많이 이용된 논문	“중고등학교”에서 많이 이용된 논문 TOP100
	세부기관별 많이 이용된 논문	“서울대학교”에서 많이 이용된 논문 TOP100
	키워드별 많이 이용된 논문	“Chat GPT”에서 많이 이용된 논문 TOP100
키워드 정보	많이 이용된 키워드	특정기간/분야/저널 내 많이 이용된 키워드
	많이 발행된 키워드	특정기간/분야/저널 내 많이 발행된 키워드
	많이 검색된 키워드	특정기간/분야/저널 내 많이 검색된 키워드
	연구 트렌드 키워드	특정 키워드 연관 연구동향 분석 데이터 키워드

논문 기본 정보

초록· 키워드

AI 요약

연구주제

연구배경

연구방법

연구결과

주요내용

목차

참고문헌 (0)

함께 읽어보면 좋을 논문

최근 본 자료

댓글(0)