Publikasi Scopus 2024 per tanggal 31 Maret 2024 (233 artikel)

Nurwati Y.; Hardinsyah; Marliyanti S.A.; Santoso B.I.; Anggraini D.
Nurwati, Yuni (58209955800); Hardinsyah (7409543837); Marliyanti, Sri Anna (58918797800); Santoso, Budi Iman (56653822500); Anggraini, Dewi (57188748777)
58209955800; 7409543837; 58918797800; 56653822500; 57188748777
Effects of Maternal Anthropometry on Infant Anthropometry: A Cross-sectional Study at Public Hospital X in Ternate, Indonesia
2024
Kesmas
19
1
59
66
7
0
Postgraduate in Nutrition Science, Department of Community Nutrition, Faculty of Human Ecology, Institut Pertanian Bogor University, Bogor, Indonesia; Department of Community Nutrition, Faculty of Human Ecology, Institut Pertanian Bogor University, Bogor, Indonesia; Department of Obstetrics and Gynecology, Faculty of Medicine, University of Indonesia, Depok, Indonesia; Study Program of Statistics, Faculty of Mathematics and Natural Sciences, University of Lambung Mangkurat, Banjarbaru, Indonesia
Nurwati Y., Postgraduate in Nutrition Science, Department of Community Nutrition, Faculty of Human Ecology, Institut Pertanian Bogor University, Bogor, Indonesia; Hardinsyah, Department of Community Nutrition, Faculty of Human Ecology, Institut Pertanian Bogor University, Bogor, Indonesia; Marliyanti S.A., Department of Community Nutrition, Faculty of Human Ecology, Institut Pertanian Bogor University, Bogor, Indonesia; Santoso B.I., Department of Obstetrics and Gynecology, Faculty of Medicine, University of Indonesia, Depok, Indonesia; Anggraini D., Study Program of Statistics, Faculty of Mathematics and Natural Sciences, University of Lambung Mangkurat, Banjarbaru, Indonesia
Infant anthropometry is an indicator of neonatal survival. This study aimed to determine the effects of maternal anthropometry on estimating infant anthropometry. This cross-sectional study on 173 pregnant women at Public Hospital X in Ternate, Indonesia, was conducted from August 2018 to March 2023. The eligible criteria were pregnant women aged ≥18 years, single pregnancy, and antenatal care (ANC) visits to the same hospital. The variables used included maternal anthropometric measurements (body weight, body height, third-trimester weight (TTW)), gestational weight gain (GWG), education, age, ANC visits, and gestational age at delivery (GAD). A logistic regression model was employed to estimate significant variables related to infant anthropometric measurements (birth weight, birth length, and head circumference). The results showed that TTW, GWG, ANC, and GAD had significantly affected birth weight. Body weight, height, and TTW also significantly affected birth length. In addition, only GAD significantly affected the head circumference. In multivariate analysis, TTW and GWG significantly affected birth weight. Furthermore, only body height and GAD affected the birth length. Maternal anthropometrics become important indicators for estimating birth weight and birth length. Copyright @ 2024, Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal).
birth length; birth weight; head circumference; logistic regression; maternal anthropometry
Master-to-Doctorate Program for Superior Scholars, (077/SP2H/LT/DRPM/2021); SpOG; Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi, MECRT
The authors thank the Directorate of Higher Education, Indonesian Ministry of Education, Culture, Research, and Technology, for granting a scholarship for the Master-to-Doctorate Program for Superior Scholars (No. 077/SP2H/LT/DRPM/2021). The authors also thank the research team, Public Hospital X in Ternate, hospital staff, dr. Ummu Hani, SpOG and Fatma B. Malik, Amd. Keb., and pregnant women for
Universitas Indonesia, Faculty of public health
19077505
Article
Q4
214
18507