&lt;p&gt;Estimation of Gestational Age Using Neonatal Anatomical Anthropometric Parameters in Dessie Referral Hospital, Northeast Ethiopia&lt;/p&gt;

Tiruneh, Chalachew

doi:10.2147/rmhp.s280682

Cited by 8 publications

(12 citation statements)

References 13 publications

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“…In this study, the four anthropometric parameters, HC ( r = 0.483), CHC ( r = 0.482), FL ( r = 0.457), and MUAC ( r = 0.481), had a positive significant correlation with gestational age. This finding is consistent with the findings of the studies conducted in India ( 10 ), Dire Dewa Administration in Eastern Ethiopia ( 19 ), Dessie Referral Hospital in Ethiopia ( 2 ), Belgium ( 22 , 23 ), and Gondar in Ethiopia ( 24 ).…”

Section: Discussionsupporting

confidence: 91%

“…The average duration of human gestation is 266 days starting, commencing from the day of conception or 280 days from the first day of the last normal menstrual period (LNMP), assuming that a typical menstrual cycle is 28 days and ovulation occurs approximately on day 14 ( 1 ). Gestational age (GA) is estimated to determine whether or not a newborn will be born prematurely ( 2 ). In the past, GA was predicted by combining historical data from the mother and physical examination ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

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Estimating gestational age using the anthropometric measurements of newborns in North Shewa Zone public hospitals, Oromia, Ethiopia

Dereje,

Awol,

Getaye

et al. 2023

Front. Pediatr.

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BackgroundThe accurate estimation of gestational age is crucial in identifying prematurity and other health problems in newborns and in providing appropriate perinatal care. Although there are numerous methods for measuring gestational age, they are not always applicable. During these situations, it becomes challenging to ascertain whether a baby has been born prematurely or not. Therefore, this study aims to estimate gestational age by utilizing newborn anthropometric parameters.PurposeThe objective of this study is to estimate the gestational age of newborns in public hospitals located in the North Shewa Zone of the Oromia Region in Ethiopia, by using anthropometric parameters.MethodsA cross-sectional study was conducted at a facility from February 2022 to April 2022, using an interview-based questionnaire and anthropometric measurements. The anthropometric parameters that were measured include foot length (FL), mid-upper arm circumference (MUAC), and chest and head circumference (CHC). The study’s sample size had a total of 420 participants. The data were cleaned, edited, manually checked for completeness, and entered into Epi-data version 3.1. Subsequently, the data were transferred into SPSS for analysis. The data were analyzed using descriptive analysis, simple linear regression, and multiple linear regressions. Finally, the data were presented using statements and tables.ResultsThere is a significant and positive correlation between anthropometric parameters, including head circumference (r: 0.483), MUAC (r: 0.481), foot length (r: 0.457), and chest circumference (r: 0.482) with gestational age. All anthropometric parameters demonstrated positive and significant estimates of gestational age. The combination of the four measurements yielded the strongest estimate of gestational age. Gestational age can be calculated by the formula: Gestational age (Weeks) = 9.78 + 0.209*CHC + 0.607*MUAC + 0.727*FL + 0.322*HC.ConclusionGestational age can be measured using head circumference, mid-upper arm circumference, foot length, and chest circumference. Utilizing the four anthropometric parameters in combination exhibits greater efficacy in estimating gestational age than using them individually. Therefore, it is recommended to use these alternative approaches when standard methods are not applicable.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Estimating gestational age using the anthropometric measurements of newborns in North Shewa Zone public hospitals, Oromia, Ethiopia

Dereje,

Awol,

Getaye

et al. 2023

Front. Pediatr.

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“…9 Between October 2019 and April 2020, Tiruneh conducted a cross-sectional study at Dessie Referral Hospital on 424 live births that was between 28 and 42 weeks gestation, the study showed the significant correlation of head circumference, crown heel length and birth weight with gestational age. 10 In a research by Kumar et al 209 consecutive live births of singletons between 28 and 40 weeks of gestation was enrolled, foot length is a straightforward calculation, it can be used as a substitute for the New Ballard score. 11 Our study result was consistent with research done in India by Thawani et al 12 A study by Yadav et al in India, which explained that birth weight, foot length, head circumference, and crown-heel length had a positive connection with gestational age, and this study, concurred on this point.…”

Section: Discussionmentioning

confidence: 99%

Assessment of gestational age using anthropometric parameters in newborns

Asokan¹,

Saravanan²

2023

Int J Contemp Pediatr

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Background: Estimation of gestational age was needed for the measurement of intrauterine growth and associated conditions, such as whether infants with a low birth weight are preterm or growth-retarded, and identifying high-risk status for developmental delay. Menstrual history was unreliable in most of the cases and ultrasound was not feasible in low resource area, so in this study we were used anthropometric measurements as a simple tool for assessment of gestational age. Methods: This study was a cross sectional observational study conducted in 380 babies born in January 2020-December 2022 in department of pediatrics, Rajah Muthiah Medical College and Hospital. The data were collected using semi-structured questionnaire and anthropometric assessment. The Epi info 7 software was used to analyse the data. Results: The mean gestational age among neonates studied was 37.06±2.32 weeks, the mean head circumference was 33.48±1.01 cm and majority of them 141 babies had head circumference 33 cm, the mean chest circumference was 30.69±1.08 cm. and majority of the babies, had chest circumference of 30 cm, the mean foot length was 7.64±0.24 cm, the mean length of the babies was 47.9±1.26 cm. Conclusions: Our study conclude that anthropometeric parameters in combination (head, chest circumference, length, foot length, birth weight) and as single parameters (foot length) was a simple and easy tool for assessing gestational age in low resource setting where we can make quick referral.

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“…count back 3 months from the first day of the LNMP and then add 1 year plus 7 days). 14 …”

Section: Methodsmentioning

confidence: 99%

Prediction of Birth Weight by Using Neonatal Anthropometric Parameters at Birth in Finote Selam Hospital, Ethiopia

Tiruneh¹,

Teshome²

2021

PHMT

Self Cite

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Introduction Birth weight is an indicator of a newborn’s chances for survival and growth. However, developing countries lack enough weighing scales to identify low birth weight babies. Therefore, finding an alternative to weighing scales is vital. Objective To predict birth weight from neonatal anthropometric parameters at birth in Finote Selam Hospital, Ethiopia. Methods A hospital-based cross-sectional study was carried out from July 13 to October 27, 2020. A total of 424 live-delivered neonates were enrolled. Based on eligibility, birth weight and neonatal anthropometric parameters like crown–heel length, foot length, hand length, mid-upper arm circumference, umbilical–nipple distance, intermammary distance and head circumference were measured within 24 hours of birth. The association between birth weight and neonatal anthropometric parameters was evaluated using correlation analysis. Birth weight predictive regression models were formulated by using simple and multiple linear regression analysis. Results All neonatal anthropometric parameters had positive significant correlation with birth weight at p <0.05. Amongst the neonatal anthropometric parameters, the highest significant correlation with birth weight was observed on mid-upper arm circumference (MUAC) followed by foot length (FL), each being r =0.474 and r =0.461, respectively. The best predictive regression models were formulated as birth weight (kg)=0.117+[0.284×MUAC (cm)] and birth weight (kg)=1.137+[0.254×FL (cm)]. As compared to individual neonatal anthropometric parameters, a combination of MUAC, hand length (HL), FL and crown–heel length (CHL) had the highest significant correlation ( r =0.661), and a multiple regression equation used to estimate birth weight was formulated as birth weight (kg)=−2.489+[0.192×MUAC(cm)]+[0.078×HL(cm)]+[0.11×FL (cm)]+[0.036×CHL(cm)]. Conclusion Using a combination of MUAC, HL, FL and CHL followed by individual MUAC neonatal anthropometric parameters has high significance to identify low birth weight. Prediction of neonatal birth weight from neonatal anthropometric parameters is crucial to minimize the death of neonates due to low birth weight.

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<p>Estimation of Gestational Age Using Neonatal Anatomical Anthropometric Parameters in Dessie Referral Hospital, Northeast Ethiopia</p>

Cited by 8 publications

References 13 publications

Estimating gestational age using the anthropometric measurements of newborns in North Shewa Zone public hospitals, Oromia, Ethiopia

Estimating gestational age using the anthropometric measurements of newborns in North Shewa Zone public hospitals, Oromia, Ethiopia

Assessment of gestational age using anthropometric parameters in newborns

Prediction of Birth Weight by Using Neonatal Anthropometric Parameters at Birth in Finote Selam Hospital, Ethiopia

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