The Risk of Teen Mothers Having Low Birth Weight Babies: Implications of Recent Medical Research for School Health Personnel

Roth, Jeffrey; Hendrickson, Jo M.; Schilling, Max; Stowell, Daniel W.

doi:10.1111/j.1746-1561.1998.tb00581.x

Cited by 59 publications

(45 citation statements)

References 31 publications

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“…These results are in line with the [19]. Furthermore as number of antenatal visits for pregnancy increase, child birth weight also increases.…”

Section: Nonlinear Effectssupporting

confidence: 84%

Modeling Maternal Risk Factors Affecting Low Birth Weight Among Infants in Kenya

Gathimba¹

2017

AJTAS

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Abstract:The strong association of birth weight with infant mortality is the main focus of birth weight research, with the assumption that birth weight is a major determinant of infant survival. Studies on factors of low birth weight in Kenya have neglected the flexible approach of using smooth functions for some covariates in models. Such flexible approach reveals detailed relationship of covariates with the response. The study sought to investigate risk factors of low birth weight in Kenya by assuming a flexible approach for continuous covariates and geographical random effect. The study used semi parametric models to flexibly model the effects of selected covariates and spatial effects. Our spatial analysis is based on a flexible geo-additive model using the provinces as the geographic unit of analysis, which allows to separate smooth structured spatial effects from random effect. A Gaussian model for birth weight in grams and a binary logistic model for the binary outcome were fitted. Continuous covariates was modeled by the penalized (p) splines and spatial effects was smoothed by the two dimensional p-spline. The specific objectives of the study was to investigate factors of low birth weight in Kenya by taking into account the hierarchical nature of child birth weight factors using a Bayesian hierarchical model. The study used secondary data from Kenya 2014 demographic and health survey (KDHS) data. The study found that child birth order, mother weight and height are significant predictors of birth weight. Secondary education for mother, birth order categories 2-3 and 4-5, wealth index of richer family and mother height were significant predictors of child size at birth. The area associated with low birth weight was North Eastern and areas with increased risk to less than average size at birth were Central and Eastern. The study found support for the flexible modeling of some covariates that clearly have nonlinear influences. Nevertheless there was no strong support for inclusion of geographical spatial analysis. The spatial patterns and the maps generated could be used for targeting development efforts at a glance. These findings have important implications for targeting policy as well as the search for left-out variables that might account for these residual spatial patterns.

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“…These results are in line with the [19]. Furthermore as number of antenatal visits for pregnancy increase, child birth weight also increases.…”

Section: Nonlinear Effectssupporting

confidence: 84%

Modeling Maternal Risk Factors Affecting Low Birth Weight Among Infants in Kenya

Gathimba¹

2017

AJTAS

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“…This is in accordance with the studies of Roth et al 5 A significant association between primiparity and VLBW was observed in this study. This was comparable with the previous studies of Amin et al, Mallik et al 6,7 The incidence of VLBW is high when birth interval is less than 2 years than compared to birth interval more than 2 years.…”

Section: Discussionsupporting

confidence: 94%

A study of maternal factors influencing very low birth weight babies

Mooorthi

Nadesan

Ramalingam

et al. 2017

Int J Contemp Pediatr

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Background: Very low birth weight (VLBW) infants present one of the greatest medical and ethical challenges to the medical field. Although they represent a small percentage of overall birth and NICU admissions, VLBW infants are often the most critically ill and at the highest risk for mortality and long-term morbidity of any NICU patients. The present study was conducted with aim to find out the maternal risk factors related to VLBW of newborn.Methods: This prospective case control study was conducted in Govt. R.S.R.M Lying in Hospital, which is affiliated to Stanley Medical College, during the period from January 2005- December 2005. The data related to maternal and new born variables were collected and evaluated by using Chi square test. P value less than 0.05 was considered as statistically significant.Results: The incidence of VLBW newborns was found to be 2.08%. The most common cause of VLBW is preterm delivery (84%). Maternal factors like age, weight, parity, literacy, mid arm circumference, income, bad obstetric history of the mother and birth interval showed a significant association with the incidence of VLBW of the infants (P <0.05). Antenatal visits, maternal occupation and maternal disease had no significant (P >0.05) influence on the delivery of VLBW babies.Conclusions: In the present study, incidence of VLBW was associated with the maternal factors like age, parity, literacy, nutritional status, income, birth interval and previous history of bad obstetrics. Hence, the study concludes that pregnant women need to be careful of all these above factors so as to avoid VLBW babies.

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“…Both sites studied had a frequency of childbirth in teenagers far superior to developed countries, (6) and worse pregnancy outcomes among teenagers' newborns than adults ones. However Salvador, the third most populous state capital city of Brazil, had even more rates of LBW, preterm delivery and an especially poor adherence to prenatal care program when compared with Brazilian rates.…”

Section: Discussionmentioning

confidence: 98%

Clinical and Social Impact of Brazilian Teenage Pregnancy

Sampaio¹,

Novais²,

Oliveira³

et al. 2014

BJMHH

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Objectives: To verify the correlation between low birth weight, prematurity, number of prenatal visits and type of delivery and maternal age (Adolescents versus young adults), in the city of Salvador -Bahia, Brazil; and in the whole Brazilian territory, in 2011. Methods: Population based study, descriptive and comparative, based on secondary data available in the database of the Information System on Live Births (SINASC), which was generated by the Department of the Health System of Brazil (DATASUS). The group analyzed comprises all the newborn children of parturients aged between 10 and 34 years. The variables were categorized as: maternal age (10-14; 15-19 and 20-34 years-old); delivery route (vaginal or cesarean); birthweigh (< 2,500g; between 2,500g and 3,999g; ≥ 4000g); number of prenatal visits (None, 1 to 6, ≥ 7). Results: There was a downward trend in vaginal delivery, in Salvador and in Brazil, among the three groups analyzed. Prematurity rates (<37 weeks) as well as low birth weight rates (< 2,500g) in Salvador were higher than those in Brazil in both age groups studied. In Brazil, the rates of individuals who attended the ideal minimum number of prenatal care program were 42.1% among adolescents (10-14 years old) and 65.4% among young adults (20-34 years old) women. In Salvador, those rates were 15% and 19%, respectively. Conclusion: Pregnant adolescents from Brazil, and Salvador also, had higher rates of prematurity, low birth weight and lower adherence to prenatal care program compared with women in the age range considered ideal for pregnancy.

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The Risk of Teen Mothers Having Low Birth Weight Babies: Implications of Recent Medical Research for School Health Personnel

Cited by 59 publications

References 31 publications

Modeling Maternal Risk Factors Affecting Low Birth Weight Among Infants in Kenya

Modeling Maternal Risk Factors Affecting Low Birth Weight Among Infants in Kenya

A study of maternal factors influencing very low birth weight babies

Clinical and Social Impact of Brazilian Teenage Pregnancy

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