Determinants of Low Birth Weight Occurrence in Bahteramas Regional General Hospital, Southeast Sulawesi Province, Indonesia

Yuniar Ayu Permata Sari; Wahiduddin Wahiduddin; Ansariadi Ansariadi; Nadjib Bustan; Syamsiar S. Russeng; Saifuddin Sirajuddin; Eri Wijaya

doi:10.3889/oamjms.2022.9403

Authors

Yuniar Ayu Permata Sari Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
Wahiduddin Wahiduddin Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
Ansariadi Ansariadi Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
Nadjib Bustan Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
Syamsiar S. Russeng Department of Occupational Safety and Health, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
Saifuddin Sirajuddin Department of Nutrition, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
Eri Wijaya Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2022.9403

Keywords:

Low birth weight, Education status, parity, Birth interval, History of hypertension, History of anemia

Abstract

Objective: This study aims to identify the determinants of Low Birth Weight (LBW) in Bahteramas General Hospital, Southeast Sulawesi Province, Indonesia.

Method: This research uses an institutional-based Case-Control Study design from May to June 2021 at the Bahteramas Hospital, Southeast Sulawesi Province. Data were collected from 134 samples of mothers giving birth, with 67 of them having babies with birth weight <2500 g (cases) and 67 of them having birth weights >2500 g (controls) using secondary data, namely medical records. Data were analyzed by univariate, bivariate with odds ratio test, and multivariate analysis with multiple logistic regression to identify the determinants of LBW..

Result: Based on the logistic regression analysis, it found that the mother's educational status variable was ≤12 years [AOR 0.19 (95% CI 0.06-0.62)]; mothers with parity one or >3 [AOR 0.06 (95% CI 0.01-0.21)]; birth spacing <2 years [AOR 4.49 (95% CI 1.37-14.74)], mothers who had a history of hypertension during pregnancy [AOR 0.07 (95% CI 0.02-0.23)]; and mothers who had a history of anemia during pregnancy [AOR 0.10 (95% CI 0.03-0.31)] with parameter significance in the partial test, each p<0.05, shown to be associated with the incidence of LBW.

Conclusions: This study concludes that the mother's low educational status, parity, birth spacing, history of hypertension, and history of anemia were found to be predictors of LBW. It is necessary to improve the knowledge, maintain birth interval, and routinely carry out ANC visits for early detection of pregnancy complications.

Keywords: LBW; education status, parity; birth interval; history of hypertension; history of anemia.

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References

Agorinya IA, Kanmiki EW, Nonterah EA, Tediosi F, Akazili J, Welaga P, et al. Socio-demographic determinants of low birth weight: Evidence from the Kassena-Nankana districts of the upper east region of ghana. PLoS One. 2018;13(11):1-10. https://doi.org/10.1371/journal.pone.0206207 PMid:30427882 DOI: https://doi.org/10.1371/journal.pone.0206207

Alemu A, Abageda M, Assefa B, Melaku G. Low birth weight: Prevalence and associated factors among newborns at hospitals in Kambata-Tembaro Zone, Southern Ethiopia 2018. Pan Afr Med J. 2019;34:1-8. https://doi.org/10.11604/pamj.2019.34.68.18234 PMid:31819784 DOI: https://doi.org/10.11604/pamj.2019.34.68.18234

Aturocmah N, Setyowati ER, Wijayanti K. Determinan berat badan lahir rendah (BBLR) Di RSUD Tidar Kota Magelang. J URECOL. 2020;160-5.

Badan Penelitian dan Pengembangan Kesehatan Kementerian RI. Riset Kesehatan Dasar (Riskesdas). Indonesia: Badan Penelitian dan Pengembangan Kesehatan Kementerian RI; 2018.

Baye Mulu G, Gebremichael B, Wondwossen Desta K, Adimasu Kebede M, Asmare Aynalem Y, Bimirew Getahun M. Determinants of low birth weight among newborns delivered in public hospitals in Addis Ababa, Ethiopia: Case-control study. Pediatric Health Med Ther. 2020;11:119-26. https://doi.org/10.2147/phmt.s246008 PMid:32273790 DOI: https://doi.org/10.2147/PHMT.S246008

Bekela MB, Shimbre MS, Gebabo TF, Geta MB, Tonga AT, Zeleke EA, et al. Determinants of low birth weight among newborns delivered at public hospitals in Sidama Zone, South Ethiopia: Unmatched case-control study. J Pregnancy. 2020;2020:4675701. https://doi.org/10.1155/2020/4675701 PMid:32351737 DOI: https://doi.org/10.1155/2020/4675701

Atitwa EB. Socio-economic determinants of low birth weight in Kenya: An application of logistic regression model. Am J Theor Appl Stat. 2016;4(6):438. https://doi.org/10.11648/j.ajtas.20150406.14 DOI: https://doi.org/10.11648/j.ajtas.20150406.14

Cutland CL, Lackritz EM, Mallett-Moore T, Bardají A, Chandrasekaran R, Lahariya C, et al. Low birth weight: Case definition and guidelines for data collection, analysis, and presentation of maternal immunization safety data. Vaccine. 2017;35(48):6492-500. https://doi.org/10.1016/j.vaccine.2017.01.049 PMid:29150054 DOI: https://doi.org/10.1016/j.vaccine.2017.01.049

Gebregzabiherher Y, Haftu A, Weldemariam S, Gebrehiwet H. The prevalence and risk factors for low birth weight among term newborns in adwa general hospital, Northern Ethiopia. Obs Gynecol Int. 2017;2017:2149156. https://doi.org/10.1155/2017/2149156 PMid:28744313 DOI: https://doi.org/10.1155/2017/2149156

Hailu LD, Kebede DL. Determinants of low birth weight among deliveries at a referral hospital in Northern Ethiopia. BioMed Res Int. 2018;2018:8169615. https://doi.org/10.1155/2018/8169615 PMid:29850570 DOI: https://doi.org/10.1155/2018/8169615

Hughes MM, Black RE, Katz J. 2500-g low birth weight cutoff: History and implications for future research and policy. Matern Child Health J. 2017;21(2):283-9. https://doi.org/10.1007/s10995-016-2131-9 PMid:27449779 DOI: https://doi.org/10.1007/s10995-016-2131-9

Khan N, Mozumdar A, Kaur S. Determinants of low birth weight in India: An investigation from the National family health survey. Am J Hum Biol. 2020;32(3):23355. https://doi.org/10.1002/ajhb.23355 PMid:31746504 DOI: https://doi.org/10.1002/ajhb.23355

Lake EA, Olana Fite R. Low birth weight and its associated factors among newborns delivered at Wolaita Sodo University teaching and referral hospital, Southern Ethiopia, 2018. Int J Pediatr. 2019:2019:4628301. https://doi.org/10.1155/2019/4628301 PMid:31428164 DOI: https://doi.org/10.1155/2019/4628301

Mahumud RA, Sultana M, Sarker AR. Distribution and determinants of low birth weight in developing countries. J Prev Med Public Health. 2017;50(1):18-28. https://doi.org/10.3961/jpmph.16.087 PMid:28173687 DOI: https://doi.org/10.3961/jpmph.16.087

Mingude AB, Gebretsadik W, Misker D, Woldeamanuel GG. Determinants of low birth weight among live birth newborns delivered at public hospitals in Gamo Gofa Zone, South Ethiopia : Unmatched case control study. SAGE Open Med. 2020;8:1-8. https://doi.org/10.1177/2050312120940544 PMid:32782793 DOI: https://doi.org/10.1177/2050312120940544

Ohlsson A, Shah P. Determinants and Prevention of Low Birth Weight: A Synopsis of the Evidence. Albert, Canada: Institute of Health Economics; 2008. p. 1-284. Available from http://www.scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Determinants+and+Prevention+of+Low+Birth+Weight+:+A+Synopsis+of+the+Evidence#0 [Last accessed on 2022 Jan 20].

Pompeii LA, Savitz DA, Evenson KR, Rogers B, McMahon M. Physical exertion at work and the risk of preterm delivery and small-for-gestational-age birth. Obs Gynecol. 2005;106(6):1279-88. https://doi.org/10.1097/01.AOG.0000189080.76998.f8 PMid:16319253 DOI: https://doi.org/10.1097/01.AOG.0000189080.76998.f8

Sebayang SK, Dibley MJ, Kelly PJ, Shankar AV, Shankar AH, SUMMIT Study Group. Determinants of low birthweight, small-for-gestational-age and preterm birth in Lombok, Indonesia: Analyses of the birthweight cohort of the SUMMIT trial. Trop Med Int Health. 2012;17(8):938-50. https://doi.org/10.1111/j.1365-3156.2012.03039.x PMid:22943372 DOI: https://doi.org/10.1111/j.1365-3156.2012.03039.x

Sharma SR, Giri S, Timalsina U, Bhandari SS, Basyal B, Wagle K, et al. Low birth weight at term and its determinants in a tertiary hospital of Nepal: A case-control study. PLoS One. 2015;10(4):0123962. https://doi.org/10.1371/journal.pone.0123962 PMid:25853813 DOI: https://doi.org/10.1371/journal.pone.0123962

Shrestha S, Shrestha S, Shakya Shrestha U, Gyawali K. Predictors of low birth weight at lumbini provincial hospital, Nepal: A hospital-based unmatched case control study. Adv Prev Med. 2020;2020:8459694. https://doi.org/10.1155/2020/8459694 PMid:32274216 DOI: https://doi.org/10.1155/2020/8459694

Toru T, Anmut W. Assessment of low birth weight and associated factors among neonates in butajira general hospital, South Ethiopia, cross sectional study, 2019. Int J Pediatr. 2020;2020:5841963. https://doi.org/10.1155/2020/5841963 PMid:32802083 DOI: https://doi.org/10.1155/2020/5841963

World Health Organization/UNICEF. Prematurity and Low Birth Weight. Geneva: World Health Organization; 2018.

Zaveri A, Paul P, Saha J, Barman B, Chouhan P. Maternal determinants of low birth weight among Indian children: Evidence from the national family health survey-4, 2015-16. PLoS One. 2020;15(12):0244562. https://doi.org/10.1371/journal.pone.0244562 PMid:33382769 DOI: https://doi.org/10.1371/journal.pone.0244562