Maternal Smoking and Infant Low Birth Weight: Exploring the Biological Mechanism Through the Mother’s Pre-pregnancy Weight Status

Author(s):  
Weihui Zhang ◽  
Tse-Chuan Yang
PEDIATRICS ◽  
1981 ◽  
Vol 68 (3) ◽  
pp. 472-472
Author(s):  
Elizabeth R. McAnarney

The article entitled "Teenaged and Pre-teenaged Pregnancies: Consequences of the Fetal-Maternal Competition for Nutrients" (Pediatrics 67:146, 1981) is a timely and important contribution. One of the greatest strengths of the paper is that Dr Naeye considered factors other than maternal age that affect fetal growth: namely, maternal pregravid body weight for height, pregnancy weight gain, parity, and cigarette smoking. There are several comments that might be pertinent in considering these data as the debate still continues whether the very young adolescent (10 to 14 years of age) has a biologic predisposition to bear more low birth weight babies than older adolescents or adults or whether the increased incidence of low birth weight infants born to the very young adolescent reflects fewer prenatal visits and inadequate care and thus, with good care, might be eliminated.


2017 ◽  
Vol 59 (5) ◽  
pp. 596-603 ◽  
Author(s):  
Ryan J. Van Lieshout ◽  
Michael H. Boyle ◽  
Lindsay Favotto ◽  
John E. Krzeczkowski ◽  
Calan Savoy ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e020410 ◽  
Author(s):  
Zhifei He ◽  
Ghose Bishwajit ◽  
Sanni Yaya ◽  
Zhaohui Cheng ◽  
Dongsheng Zou ◽  
...  

ObjectivesThe present study aimed to estimate the prevalence of low birth weight (LBW), and to investigate the association between maternal body weight measured in terms of body mass index (BMI) and birth weight in selected countries in Africa.SettingUrban and rural household in Burkina Faso, Ghana, Malawi, Senegal and Uganda.ParticipantsMothers (n=11 418) aged between 15 and 49 years with a history of childbirth in the last 5 years.ResultsThe prevalence of LBW in Burkina Faso, Ghana, Malawi, Senegal and Uganda was, respectively, 13.4%, 10.2%, 12.1%, 15.7% and 10%. Compared with women who are of normal weight, underweight mothers had a higher likelihood of giving birth to LBW babies in all countries except Ghana. However, the association between maternal BMI and birth weight was found to be statistically significant for Senegal only (OR=1.961 (95% CI 1.259 to 3.055)).ConclusionUnderweight mothers in Senegal share a greater risk of having LBW babies compared with their normal-weight counterparts. Programmes targeting to address infant mortality should focus on promoting nutritional status among women of childbearing age. Longitudinal studies are required to better elucidate the causal nature of the relationship between maternal underweight and LBW.


2020 ◽  
Vol 46 (1) ◽  
Author(s):  
Sielu Alemayehu Desta ◽  
Ashenafi Damte ◽  
Tsehay Hailu

Abstract Background Mothers in low socio-economic conditions frequently have low birth weight infants. Inaddition Physically demanding work during pregnancy also contributes to poor fetal growth. During gestation a woman needs balanced nutrition for a healthy outcome. Women with inadequate nutritional status at conception are at greater risk of aquiring disease; their health usually depends on the availability and consumption of balanced diet, and therefore they are unlikely to be able to resist with their high nutrient needs during pregnancy. Therefore, the main purpose of this study was to assess the maternal risk factors associated low birth weight in public hospitals of Mekelle city, Tigray North Ethiopia, 2017/2018. Methods Un-matched case-control study design was conducted among women who delivered in public hospitals of Mekelle city. Data was collected using a structured questionnaire through interview, direct physical assessment and medical record review of mothers. Sample size was calculated by Epi-info version 7.0 to get a final sample size of 381(cases = 127 and controls = 254). SPSS version 20 was used for analysis. Bivariate and multivariate logistic regression analysis was used to determine the effect of the independent variables on birth weight. Presence of significant association was determined using OR with its 95%CI. A P value of less than 0.05 was considered to declare statistical significance. Table, graphs and texts were used to present the data. Result Most of the mothers (70.1% cases and 43.7% controls) were housewives. This study showed that maternal age ≤ 20 years (AOR = 6.42(95% CI = (1.93–21.42)), ANC follow up (AOR = 3.73(95%CI (1.5–9.24)), History of medical illness (AOR = 14.56(95% CI (3.69–57.45), Iron folate intake (AOR = 21.56(95%CI (6.54–71.14)), Maternal height less than 150 cm (AOR = 9.27(95%CI 3.45–24.89)) and Pregnancy weight gain (AOR = 4.93(95%CI = 1.8–13.48) were significant predictors of low birth weight. Conclusion The study suggests that inadequate ANC follow-up, preterm birth and history of chronic medical illness, maternal height, pregnancy weight gain, and Iron intake were. Were significant predictors of low birth weight. Health professionals should screen and consulate pregnant mothers who are at risk of having infants with LBW and ensure that women have access to essential health information on the causes of low birth weight.


2002 ◽  
Vol 13 (1) ◽  
pp. 63-86 ◽  
Author(s):  
Karin Källén

Since the first report by Simpson (1957) of the association between premature birth and maternal smoking, the research on the consequences of maternal smoking during pregnancy on perinatal outcome has been intense. Even if some of the findings have been contradictory, it is now evident that maternal smoking is associated with pre-term birth and low birth weight, low birth weight for gestational age, small head circumference, low Apgar score at 5 min, stillbirth and neonatal death.


2021 ◽  
Vol 84 (3) ◽  
pp. 257-274
Author(s):  
Saijuddin Shaikh ◽  
Md. Tanvir Islam ◽  
Rebecca K. Campbell

Abstract The prevalence of low birth weight (LBW) is high in Bangladesh, but no study has collated recent estimates of LBW prevalence from throughout the country. The aim of this meta-analysis was to evaluate the prevalence of LBW and birth weight status in Bangladesh. We searched PubMed, Medline, Ovo and Google Scholar to find published articles in national and international journals from 2000–2020 and reviewed for relevance. Meta-analysis and Q test were performed to estimate the prevalence and heterogeneity of LBW from all included articles. Meta-regression was done to quantify associations with sample size and study year. Stratified analysis was conducted and effect size calculated for differences in LBW prevalence by sex, division and urban/rural area. In total 48 studies with 166,520 births were found and included in this meta-analysis. The pooled prevalence of LBW was 29.1% (95% CI, 28.9–29.3%) in overall, 29.9% (29.7–30.2%) in rural and 15.7% (14.9–16.6%) in urban areas. There was no significant difference in average birth weight between boys and girls (SD, 0.71; 95% CI, −0.43–1.83). Prevalence of LBW was higher in north-east Bangladesh compared to other zones (p<0.05). The pooled prevalence of LBW did not change significantly for last two decades. The prevalence of LBW in Bangladesh remains high. Lack of improvement suggests an urgent need for scaled up maternal and prenatal interventions and services known to reduce LBW. Urban/rural and divisional differences in rates suggest areas of greatest need.


2020 ◽  
pp. 154041532095959
Author(s):  
Carmen M. Kiraly ◽  
Melanie T. Turk ◽  
Melissa A. Kalarchian ◽  
Cheryl Shaffer

Introduction: Potential risk factors of infant overweight/obesity in Salvadoran mother–infant dyads ( N = 88) at routine 9- to 12-month wellbaby visits were examined in a correlational study at two pediatric offices on Long Island, New York. Method: Maternal factors and infant feeding practices in the first 5 months were self-reported; infant birth weight, current weight/recumbent length were obtained. Bivariate logistic regression measured the relationship of the variables with infant weight status >85th percentile weight-for-length (WFL) for sex. Results: The majority of mothers were born in El Salvador, with a mean age of 28.5 years ( SD = 5.9); 43% of infants had WFL >85th percentile. Infant birth weight was significantly associated with WFL >85th percentile, p = .0007. After controlling for maternal age, insurance type, education, and marital status, no significant associations with infant WFL >85th percentile were found. Feeding practices during infants’ first 5 months, mothers’ pre-pregnancy weight, pregnancy weight gain, and history of gestational diabetes mellitus, were not associated with infant weight status. Conclusion: This was the first study to examine infant weight status in Salvadorans. Future studies should objectively measure infant feeding practices and other potential factors among Salvadoran mother infant dyads, since nearly half of the infants had WFL >85th percentile.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Bably Sabina Azhar ◽  
Md. Monirujjaman ◽  
Kazi Saiful Islam ◽  
Sadia Afrin ◽  
Md. Sabir Hossain

In developing countries, where about 75% of births occur at home or in the community, logistic problems prevent the weighing of every newborn child. Baby born with a weight less than 2,500 g is considered low birth weight, since below this value birth-specific infant mortality begins to rise rapidly. In Bangladesh, the prevalence of low birth weight is unacceptably high. Infant's sex differences, birth to conception interval, gestational age, and Apgar score are associated with infant birth weight. To screen low-birth-weight babies, simple anthropometric parameters can be used in rural areas where 80–90% of deliveries take place. A sample of 343 newborn singletons, 186 male and 157 female babies, were studied in Southwest region of Bangladesh to examine the birth weight status of newborns and to identify the relationship between birth weight and other anthropometric parameters of newborns. The mean birth weight was 2754.81±465.57 g, and 28.6% were low-birth-weight (<2,500 g) babies. All key anthropometric parameters of the newborns significantly correlated with infant birth weight (P=0.05). Mid upper arm circumference and chest circumference were identified as the optimal surrogate indicators of LBW babies. In the community where weighing of newborns is difficult, these measurements can be used to identify the LBW babies.


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