The maternal anthropometry and hemoglobin status in relations to newborn birth weight among primiparous mothers at Adama Hospital Medical College, Eastern Ethiopia: a cross-sectional study
Negera, A.; Sento, M.
Show abstract
BackgroundAnthropometric measurements are quantitative measurements of the human body size, shape, and nutritional status. It is a simple, inexpensive, and non-invasive approach used to identify mothers at risk of labor outcomes. On the other hand, hematological disorders are common during pregnancy with deleterious health effects on the mother and the fetus, which consequently cause fetal growth retardation and low weight. ObjectivesTo assess the relationship between maternal anthropometry and hemoglobin status with the newborn birth weight among primiparous mothers at Adama Hospital Medical College, Eastern Ethiopia 2021. MethodsAn institutional-based cross-sectional study design involving 269 primiparous pregnant mothers was conducted at Adama Hospital Medical College from September 15 to October 30, 2021. The consecutive sampling technique was used till the required sample size was attained. Interviewer-administered questionnaires, instruments for anthropometric measurement, hemoglobinometer, and electronic weighing scales were used to collect the data. The data was entered into EpiData version 3.1 and exported to SPSS software version 21 for analysis. Multivariate logistic regression was used to analyze the relationship between the independent variables and the outcome variables. ResultsAbout 269 mothers and their neonates participated in this study. Multivariate logistic regression shows that maternal ANC visit less than two [AOR=4.149, 95% CI: (1.27, 13.52)], maternal height [AOR= 0.878, 95% CI: (0.806, 0.95)], and maternal Hgb <11g/dl [AOR=4.127, 95% CI: (1.63, 10.43)] were significantly associated with the occurrences of low birth weight (p<0.05). ConclusionThis study has shown that maternal anthropometric characteristics and hemoglobin status were important factors associated birth weight. Health facilities should emphasize routine measurements of maternal anthropometry and hemoglobin during ANC visits in order to reduce complications related to labor outcomes.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Fetal macrosomia and its associated factors among pregnant women delivered at national referral hospital in Uganda, a case-control study 99%
- Prevalence, placenta development and perinatal outcomes of women with hypertensive disorders of pregnancy at Komfo Anokye Teaching Hospital 98%
- The prevalence and associated factors of adverse pregnancy outcomes among Afghan women in Iran; findings from community-based survey 98%
Similar papers in this journal
Similar papers in this journal
- Influence of Factor V Leiden mutation and Protein C/S deficiencies on preeclampsia among Sudanese women 95%
- Validity of Umbilical Cord Blood Procalcitonin in the Diagnosis of Early-Onset Neonatal Infection 95%
- Comparative study between first and second wave of COVID-19 deaths in India - a single center study 94%
Similar papers in this journal
- Cost saving in primary versus tertiary level of reproductive health services in Sana’a, Yemen 97%
- Women’s Awareness of Obstetric Fistula and its Associated Factors Among Reproductive-Age Women in Ethiopia: A Multilevel Analysis Based on National Survey Data 97%
- Protocol for a prospective, hospital-based registry of pregnant women with SARS-CoV-2 infection in India: PregCovid Registry study 96%
Similar papers in this journal
- Influence of parental anthropometry and gestational weight gain on intrauterine growth and neonatal outcomes: Findings from the MAI cohort study in rural India 99%
- Overweight and Obesity among Women at Reproductive Age 15-49 Years Old in Cambodia: Data Analysis of Cambodia Demographic and Health Survey 2014 96%
- Quality of newborn care and associated factors: An analysis of the 2022 Kenya demographic and health survey 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.