Javascript must be enabled to continue!
Mother’s perception of size at birth is a weak predictor of low birth weight: Evidence from Nepal Demographic and Health Survey
View through CrossRef
Birth weight is a consistent predictor of morbidity and survivability in infancy and later life. This study aims to assess the accuracy of the mother’s perception of size at birth to predict low birth weight(LBW). This study used data from Nepal Demographic and Health Survey (NDHS 2016). Information about 5060 mother pairs was obtained from the NDHS dataset. However, birth weight data were available for 3095 children, and therefore they were only included in the further analysis. The predictive accuracy of the mother’s perception of size at birth to predict LBW was measured by sensitivity, specificity, positive predictive value, and negative predictive value. Factors associated with the discordance among the mother’s perception of birth size and birth weight were calculated using multinomial logistic regression analysis. The mother’s perception of birth size had low sensitivity (62%) and positive predictive value (46.7%) but high specificity (90.1%) and negative predictive value (94.4%) to predict the LBW. The overall agreement between birth weight(<2500gram vs > = 2500 grams) and the mother’s perceived size at birth (small vs average or above average) was 86% (Kappa = 0.45, 95%CI: 0.40–0.51), which is composed of a higher share of the agreement to identify non-LBW babies(79%) and a low share to identify LBW babies (7%). Among the five categories of mothers’ perception of size at birth and birth weight, the agreement was 67.2% (Kappa = 0.29, 95% CI: 0.26–0.33). Education status, ethnicity, multiple births, and sex of the newborn child were significantly associated with the discordance between the mother’s perceived size at birth and birth weight. A moderate agreement was found among the mother’s perception of birth size and birth weight. Mothers were more likely to correctly identify non-LBW babies compared to LBW babies based on their perception of size at birth. Efforts should be intensified to promote the practice of weighing the baby at birth.
Title: Mother’s perception of size at birth is a weak predictor of low birth weight: Evidence from Nepal Demographic and Health Survey
Description:
Birth weight is a consistent predictor of morbidity and survivability in infancy and later life.
This study aims to assess the accuracy of the mother’s perception of size at birth to predict low birth weight(LBW).
This study used data from Nepal Demographic and Health Survey (NDHS 2016).
Information about 5060 mother pairs was obtained from the NDHS dataset.
However, birth weight data were available for 3095 children, and therefore they were only included in the further analysis.
The predictive accuracy of the mother’s perception of size at birth to predict LBW was measured by sensitivity, specificity, positive predictive value, and negative predictive value.
Factors associated with the discordance among the mother’s perception of birth size and birth weight were calculated using multinomial logistic regression analysis.
The mother’s perception of birth size had low sensitivity (62%) and positive predictive value (46.
7%) but high specificity (90.
1%) and negative predictive value (94.
4%) to predict the LBW.
The overall agreement between birth weight(<2500gram vs > = 2500 grams) and the mother’s perceived size at birth (small vs average or above average) was 86% (Kappa = 0.
45, 95%CI: 0.
40–0.
51), which is composed of a higher share of the agreement to identify non-LBW babies(79%) and a low share to identify LBW babies (7%).
Among the five categories of mothers’ perception of size at birth and birth weight, the agreement was 67.
2% (Kappa = 0.
29, 95% CI: 0.
26–0.
33).
Education status, ethnicity, multiple births, and sex of the newborn child were significantly associated with the discordance between the mother’s perceived size at birth and birth weight.
A moderate agreement was found among the mother’s perception of birth size and birth weight.
Mothers were more likely to correctly identify non-LBW babies compared to LBW babies based on their perception of size at birth.
Efforts should be intensified to promote the practice of weighing the baby at birth.
Related Results
On Flores Island, do "ape-men" still exist? https://www.sapiens.org/biology/flores-island-ape-men/
On Flores Island, do "ape-men" still exist? https://www.sapiens.org/biology/flores-island-ape-men/
<span style="font-size:11pt"><span style="background:#f9f9f4"><span style="line-height:normal"><span style="font-family:Calibri,sans-serif"><b><spa...
Hubungan Perilaku Pola Makan dengan Kejadian Anak Obesitas
Hubungan Perilaku Pola Makan dengan Kejadian Anak Obesitas
<p><em><span style="font-size: 11.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-langua...
[RETRACTED] Prima Weight Loss Dragons Den UK v1
[RETRACTED] Prima Weight Loss Dragons Den UK v1
[RETRACTED]Prima Weight Loss Dragons Den UK :-Obesity is a not kidding medical issue brought about by devouring an excessive amount of fat, eating terrible food sources, and practi...
[RETRACTED] Prima Weight Loss Dragons Den UK v1
[RETRACTED] Prima Weight Loss Dragons Den UK v1
[RETRACTED]Prima Weight Loss Dragons Den UK :-Obesity is a not kidding medical issue brought about by devouring an excessive amount of fat, eating terrible food sources, and practi...
To Evaluate the Expression of Egr2 Gene in Term Low BirthWeight Newborns
To Evaluate the Expression of Egr2 Gene in Term Low BirthWeight Newborns
OBJECTIVES:
To evaluate the role of expression of EGR2 Gene in Term LBW Newborns
To study the various risk factor for LBW Newborns
Early identification of pregnant women at risk f...
Low birth weight and respiratory hospitalizations in adolescence
Low birth weight and respiratory hospitalizations in adolescence
AbstractObjectiveSome low birth weight survivors are at increased risk of respiratory disease. We studied whether low birth weight was associated with hospitalization for respirato...
Predicting abnormal birth weight and identifying its determinants using machine learning in the Hararghe Health and Demographic Surveillance System, Ethiopia
Predicting abnormal birth weight and identifying its determinants using machine learning in the Hararghe Health and Demographic Surveillance System, Ethiopia
Abstract
Background
Birth weight is a reliable measure of intrauterine growth and an important predictor of the newborn’s survival, growth, and development. Global...
Determinants of Low Birth Weight among Deliveries at a Referral Hospital in Northern Ethiopia
Determinants of Low Birth Weight among Deliveries at a Referral Hospital in Northern Ethiopia
Background. Low birth weight is the leading cause of infant and child mortality and contributes to several poor health outcomes. Proper knowledge of risk factors of low birth weigh...

