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Academic literature on the topic 'Birthweight'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Birthweight"

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Luke, B., L. Keith, and D. Keith. "Maternal Nutrition in Twin Gestations: Weight Gain, Cravings and Aversions, and Sources of Nutrition Advice." Acta geneticae medicae et gemellologiae: twin research 46, no. 3 (July 1997): 157–66. http://dx.doi.org/10.1017/s000156600000057x.

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AbstractBackground: Maternal nutrition has a strong influence on singleton and twin birthweight. This study evaluated the association between twin birthweight and maternal pregravid body mass index (BMI), weight gain, and cravings and aversions. Information was also obtained regarding sources of nutrition advice and advised versus actual weight gain.Methods: This study is based on data from interviews with 928 mothers of twins. Univariate analysis included comparisons by source of nutritional advice, birthweight categories, and categories of cravings and aversions. Multiple logistic regression was used to formulate models for mean twin birthweights > 1,500 g and > 2,500 g.Results: Mothers who received their nutrition advice from a registered dietitian had the highest weight gains and the lowest proportion of birthweights < 1,500 g. For mean twin birthweight > 2,500 g, the final model included prematurity, pregravid BMI, and weight gain; for birthweights > 1,500 g, the model additionally included maternal age and aversions.Conclusions: Maternal pregravid BMI and gestational weight gain were shown to be important factors influencing twin birthweight. Nutrition advice, particularly from a registered dietitian, may be vital in assuring adequate weight gain, and therefore better birthweights, for these high-risk pregnancies.
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Bjelland, Elisabeth K., Jon M. Gran, Solveig Hofvind, and Anne Eskild. "The association of birthweight with age at natural menopause: a population study of women in Norway." International Journal of Epidemiology 49, no. 2 (October 21, 2019): 528–36. http://dx.doi.org/10.1093/ije/dyz207.

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Abstract Background Previous studies suggest that birthweight may influence age at natural menopause, but the evidence remains inconclusive. Thus, we aimed to estimate the association of birthweight with age at natural menopause. Methods A retrospective population study of 164 608 women in Norway, aged 48–71 years. Data were obtained by two self-administered questionnaires among participants in BreastScreen Norway during 2006–2014. We used Cox proportional hazard models to estimate hazard ratios and logistic regression models to estimate odds ratios of menopause according to birthweight. Restricted cubic splines were applied to allow for possible non-linear associations, and adjustments were made for year and country of birth. Results Women with birthweight &lt;2500 g were median 51 years at menopause (interquartile range 49–54 years), whereas women with birthweight 3500–3999 g were median 52 years at menopause (interquartile range 49–54 years). The hazard ratio of menopause decreased with increasing birthweight up until 3500 g. At birthweights &gt;3500 g, we estimated no further decrease (P for non-linearity = 0.007). Birthweight at 2500 g increased the odds ratios of menopause before the age of 45 [1.20; 95% confidence interval (CI): 1.14–1.25] and the age of 40 (1.26; 95% CI: 1.15–1.38) compared with birthweight at 3500 g. At birthweights 4000 g and 4500 g, the odds ratio estimates were very similar to the reference group and the CIs overlapped 1.00. Conclusions We found a non-linear dose-relationship of birthweight with age at natural menopause, and low birthweight was associated with early natural menopause. Our findings suggest that growth restriction during fetal life may influence the timing of natural menopause.
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MSL, Mathule, Kennedy T, Gates G, and Maria T. Spicer. "Predictors of Birthweight in Healthy Women Attending A Rural Antenatal Clinic." African Journal of Food, Agriculture, Nutrition and Development 5, no. 8 (April 25, 2005): 01–19. http://dx.doi.org/10.18697/ajfand.8.1125.

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Birthweight is important to infant survival and the later health of a child. To promote optimum birthweight, in an environment that is vulnerable to seasonal food shortages, it is important to understand the relationship between birthweight and exposure to the hungry season. The objective of this study was to determine seasonal effects on birthweight and examined the ability of maternal and seasonal variables to predict birthweight in this cohort. The study was conducted at Scott Hospital-Morija which services rural communities in Lesotho. Women with normal healthy pregnancies without complications, with a clinic attendance of five or more times, who had full term singleton infants were included. Information including infant’s date of birth, infant’s birthweight and length, monthly maternal weights, and date of first and last antenatal visit were systematically and retrospectively extracted from 477 Antenatal Clinic (ANC) records covering a period of three years from May 1998 to April 2001. There were 252 male infants with mean birthweight of 3169g ± 420 and 225 female infants with mean birthweight of 3297g ± 436. A seasonal pattern was observed with a significant difference (p<0.05) between the mean birthweights in the December and January hungry season (3100g ± 70) and the mean birthweights in March, April, August and September (3310g ± 70). First trimester exposure to the hungry season had a tendency to correlate with birthweight (p<0.10). Third trimester exposure to the hungry season had a significant negative (r = - 0.106, p<0.05) relationship with birthweight. The best predictors of birthweight were maternal parity (p=0.0001), last pregnancy weight (p=0.0001) and exposure to the hungry season in the third trimester (p=0.022) with the first trimester (p=0.056) of pregnancy approaching significance. Thus, length of exposure to the hungry season is important in determining pregnancy outcomes. The regression model including last pregnancy weight, maternal parity and exposure to the hungry season in the third trimester explained 12.2% of the variance in birth weight (p=0.017). Increased surveillance of primigravid women, promoting pregnancy weight gain for optimal infant weight at term and supplementation during the hungry season are recommended.
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MSL, Mathule, Kennedy T, Gates G, and Maria T. Spicer. "Predictors of Birthweight in Healthy Women Attending A Rural Antenatal Clinic." African Journal of Food, Agriculture, Nutrition and Development 5, no. 8 (April 25, 2005): 01–19. http://dx.doi.org/10.18697/ajfand.8.1125.

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Birthweight is important to infant survival and the later health of a child. To promote optimum birthweight, in an environment that is vulnerable to seasonal food shortages, it is important to understand the relationship between birthweight and exposure to the hungry season. The objective of this study was to determine seasonal effects on birthweight and examined the ability of maternal and seasonal variables to predict birthweight in this cohort. The study was conducted at Scott Hospital-Morija which services rural communities in Lesotho. Women with normal healthy pregnancies without complications, with a clinic attendance of five or more times, who had full term singleton infants were included. Information including infant’s date of birth, infant’s birthweight and length, monthly maternal weights, and date of first and last antenatal visit were systematically and retrospectively extracted from 477 Antenatal Clinic (ANC) records covering a period of three years from May 1998 to April 2001. There were 252 male infants with mean birthweight of 3169g ± 420 and 225 female infants with mean birthweight of 3297g ± 436. A seasonal pattern was observed with a significant difference (p<0.05) between the mean birthweights in the December and January hungry season (3100g ± 70) and the mean birthweights in March, April, August and September (3310g ± 70). First trimester exposure to the hungry season had a tendency to correlate with birthweight (p<0.10). Third trimester exposure to the hungry season had a significant negative (r = - 0.106, p<0.05) relationship with birthweight. The best predictors of birthweight were maternal parity (p=0.0001), last pregnancy weight (p=0.0001) and exposure to the hungry season in the third trimester (p=0.022) with the first trimester (p=0.056) of pregnancy approaching significance. Thus, length of exposure to the hungry season is important in determining pregnancy outcomes. The regression model including last pregnancy weight, maternal parity and exposure to the hungry season in the third trimester explained 12.2% of the variance in birth weight (p=0.017). Increased surveillance of primigravid women, promoting pregnancy weight gain for optimal infant weight at term and supplementation during the hungry season are recommended.
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Horton, B. J., R. Corkrey, and G. N. Hinch. "Estimation of risk factors associated with difficult birth in ewes." Animal Production Science 58, no. 6 (2018): 1125. http://dx.doi.org/10.1071/an16339.

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In eight closely recorded Australian Merino and crossbred sheep flocks, all lamb deaths were examined and the cause of deaths identified if possible. Dystocia was identified as one of the major causes of lamb death and this study examined factors that could be used to identify ewes at high risk of dystocia, either to avoid dystocia or to assist with early intervention where possible. Dystocia was least common in lambs of ~4.8 kg, but there was a higher risk at both lower and higher birthweights. Dystocia with both low and high birthweight was more common in older ewes, ranging from negligible low birthweight dystocia in ewes less than 3 years old at lambing, to 5% in older ewes. Low birthweight dystocia increased with increasing litter size, with 40% dystocia in ewes at least 4 years of age with triplets. In contrast, high birthweight dystocia was not affected by litter size. A previous record of low birthweight dystocia was a risk factor for future low birthweight dystocia, but the same relationship was not observed for high birthweight dystocia. A high lambing ease score (difficult birth) with high birthweight was a risk factor for future high birthweight dystocia, but this was not the case for low birthweight dystocia. These differences between the risk factors for low and high birthweight dystocia suggest that they have different causes. High ewe liveweight and condition score during pregnancy may be additional indicators of the risk of dystocia, particularly for ewes with high liveweight in the first 60 days of pregnancy. For most ewes dystocia was difficult to predict, but there was a small proportion of ewes with a very high risk of dystocia and if these could be identified in advance they could be monitored much more closely than the rest of the flock.
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Paganoni, B. L., C. M. Oldham, M. B. Ferguson, A. N. Thompson, P. E. Vercoe, and D. G. Gordon. "Ewe nutrition during pregnancy and birthweight of lambs has minimal impact on fat and eye muscle depth in Merino progeny." Animal Production Science 53, no. 6 (2013): 509. http://dx.doi.org/10.1071/an12266.

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The hypothesis tested in this experiment was that Merino lambs with lower birthweights, due to poor ewe nutrition during pregnancy, would have more fat and less muscle than Merino lambs with higher birthweights. At two sites (Victoria and Western Australia) in each of 2 years, a wide range in the liveweight profiles of ewes was generated during pregnancy and lactation by varying the amount of supplements fed and feed on offer grazed. Progeny had fat and muscle depth at the C-site measured at various ages from 8 to 28 months of age. Across the four experiments, there were differences of 0.5 kg in birthweights and 8 kg in weaning weights between extreme treatments. The effects on the depth of fat and muscle were very small with fat depth increasing by 0.1–0.2 mm (5–7%) and muscle depth increasing by 0.2–0.7 mm (1–3%) when birthweights decreased by 1 kg. The effects of birthweight on fat depth are consistent with our hypothesis whereas the effects of birthweight on muscle depth are in contrast to our hypothesis. Nevertheless, the impacts of birthweight on the depth of fat and muscle measured at the C-site of progeny from Merino ewes, is unlikely to be of any commercial significance within the range of nutritional scenarios during pregnancy and lactation that are likely to be experienced within the Australian sheep industry.
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Gielen, Marij, Patrick J. Lindsey, Catherine Derom, Ruth J. F. Loos, Nicole Y. Souren, Aimee D. C. Paulussen, Maurice P. Zeegers, Robert Derom, Robert Vlietinck, and Jan G. Nijhuis. "Twin-Specific Intrauterine ‘Growth’ Charts Based on Cross-Sectional Birthweight Data." Twin Research and Human Genetics 11, no. 2 (April 1, 2008): 224–35. http://dx.doi.org/10.1375/twin.11.2.224.

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AbstractThe assessment of fetal growth is an essential component of good antenatal care, especially for twins. The aims of this study are to develop twin-specific intrauterine 'growth' charts, based on cross-sectional birthweight data, for monochorionic and dichorionic twins according to sex and parity, and to detect twins at risk for neonatal death by comparing the use of twin-specific and singleton charts. The study sample consisted of 76,471 singletons and 8454 twins (4227 pairs) born in East Flanders (Belgium). Birthweights were analyzed using a nonlinear Gaussian regression. After 33 weeks of gestation, the birthweights of twins started to deviate from singletons (difference of 900 grams at 42 weeks). Birthweights of dichorionic twins continued to increase, whereas those of monochorionic twins decreased after week 40 (difference of more than 300 g at 42 weeks). After 31 weeks of gestation, neonatal mortality increased as centile decreased, and was especially high if birthweight was below the twin-specific third centile: .032 (below) versus .007 (above). Using singleton centiles, this was less obvious. In conclusion, twin-specific growth charts, taking chorionicity into account, are more accurate to detect twins at risk for neonatal death. Therefore the presented charts, based on cross-sectional birthweight data, enable an improved assessment of twin growth.
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Olafimihan, Victoria I., Adekunle J. Ariba, Ademola Egunjobi, and Olusanya Abiodun. "Maternal factors influencing birth weight of term babies among women who received antenatal care at a Nigerian voluntary agency health care facility." International Journal of Reproduction, Contraception, Obstetrics and Gynecology 9, no. 11 (October 27, 2020): 4382. http://dx.doi.org/10.18203/2320-1770.ijrcog20204783.

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Background: Birthweight is an important indicator of babies’ health status and a reliable predictor of their postnatal survival. Maternal factors are regarded as major contributors to birthweight outcome due to their direct effects on foetal growth. Proper knowledge of these factors is essential for implementing preventive measures against suboptimal birthweight. Objective of the study sought to determine the proportion of term babies with normal birthweight and identify the maternal factors that influence birthweight.Methods: This cross-sectional study was conducted on 257 booked pregnant women and their newborns delivered at the Sacred Heart Hospital (SHH), Abeokuta, Nigeria between August and November 2017. Selection was by systematic random sampling method. Data were collected with a pre-tested interviewer-administered questionnaire and analyzed with SPSS version 21 program.Results: The mean age of the women was 30.73±5.17 years. Among the women, 95.7% had at least senior secondary education, 95% of them were married and employed. The mean birthweight was 3.25±0.47 kg and male babies had higher mean weight (male: 3.30±0.54 kg; female: 3.21±0.39 kg). NBW was recorded among 92.6% of the babies with 3.5 and 3.9% as LBW and HBW, respectively. Only maternal booking BMI (p=0.005) and chronic hypertension (p=0.007) were significantly associated with birthweight.Conclusion: Most babies in this study had normal birthweights reflecting the influence of optimal maternal biological and socio-demographic characteristics. Chronic hypertension and subnormal booking BMI undermined achievement of optimal birthweight, underscoring the need for pre-conception care for intending mothers.
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Silveira, Mariangela F., Cesar G. Victora, Bernardo L. Horta, Bruna G. C. da Silva, Alicia Matijasevich, Fernando C. Barros, Aluisio J. D. Barros, et al. "Low birthweight and preterm birth: trends and inequalities in four population-based birth cohorts in Pelotas, Brazil, 1982–2015." International Journal of Epidemiology 48, Supplement_1 (June 22, 2018): i46—i53. http://dx.doi.org/10.1093/ije/dyy106.

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Abstract Background Despite positive changes in most maternal risk factors in Brazil, previous studies did not show reductions in preterm birth and low birthweight. We analysed trends and inequalities in these outcomes over a 33-year period in a Brazilian city. Methods Four population-based birth cohort studies were carried out in the city of Pelotas in 1982, 1993, 2004 and 2015, with samples ranging from 4231 to 5914 liveborn children. Low birthweight (LBW) was defined as &lt;2500 g, and preterm birth as less than 37 weeks of gestation. Information was collected on family income, maternal skin colour and other risk factors for low birthweight. Multivariable linear regression was used to estimate the contribution of risk factors to time trends in birthweight. Results Preterm births increased from 5.8% (1982) to 13.8% (2015), and LBW prevalence increased from 9.0% to 10.1%, being higher for boys and for children born to mothers with low income and brown or black skin colour. Mean birthweight remained stable, around 3200 g, but increased from 3058 to 3146 g in the poorest quintile and decreased from 3307 to 3227 g in the richest quintile. After adjustment for risk factors for LBW, mean birthweight was estimated to have declined by 160 g over 1982–2015 (reductions of 103 g in the poorest and 213 g in the richest quintiles). Conclusions Data from four birth cohorts show that preterm births increased markedly. Mean birthweights remained stable over a 33-year period. Increased prevalence of preterm and early term births, associated with high levels of obstetric interventions, has offset the expected improvements due to reduction in risk factors for low birthweight.
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Mishra, Vinod, Shyam Thapa, Robert D. Retherford, and Xiaolei Dai. "Effect of Iron Supplementation during Pregnancy on Birthweight: Evidence from Zimbabwe." Food and Nutrition Bulletin 26, no. 4 (December 2005): 338–47. http://dx.doi.org/10.1177/156482650502600403.

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Background Iron deficiency in pregnant women has been shown to reduce the oxygen supply to the fetus, cause intrauterine growth retardation, and increase the risk of premature delivery and reduced birthweight. Yet the effects of iron supplementation programs on pregnancy outcomes are not well documented for developing countries. Objective To examine the relation between iron supplementation of mothers during pregnancy and children's birthweight using data from a national population-based survey in Zimbabwe. Methods The analysis uses information on 3,559 births during the five years preceding the 1999 Zimbabwe Demographic and Health Survey. The effect of iron supplementation during pregnancy on birthweight was estimated by multiple regression, controlling for potential confounding effects of prenatal care, child's sex and birth order, mother's education and nutritional status (measured by body-mass index), household living standard, smoke exposure, and other variables. Results Babies born to mothers who received iron supplementation during pregnancy were 103 g heavier (95% confidence interval, 42–164; p = .001), on average, than babies born to mothers who did not receive iron supplementation during pregnancy. The difference was 64 g (95% confidence interval, 2–125; p = .043) for children whose birthweights were taken from health cards and 163 g (95% confidence interval, 44–281; p = .008) for children whose birthweights were reported by their mothers. Conclusions Iron supplementation during pregnancy is associated with significantly higher birthweight, independent of other pregnancy care factors, mother's nutritional status, smoke exposure, and a number of demographic and socioeconomic factors. Prenatal iron supplementation programs can improve pregnancy outcomes and promote child survival in developing countries.
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Dissertations / Theses on the topic "Birthweight"

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Hodgson, Theresa Paula. "Stories about low birthweight." Thesis, Lancaster University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418865.

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Bellingham-Young, Denise Anne. "Birthweight and minor illness." Thesis, University of Wolverhampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418884.

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Peacock, Janet Lesley. "Birthweight and cigarette smoking." Thesis, St George's, University of London, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434249.

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Recent research has shown an association between smoking in pregnancy and low birthweight. Many authors have concluded that the relationship is causal but some have argued that it is the smoker rather than the smoke which is responsible. This thesis examines the relationship between the smoking habit in pregnancy and birthweight corrected for gestational age using data from the St. George's Hospital Birthweight Study. Adjustment is made for confounding factors so that the effect of smoking can be estimated. The statistical problem of adjusting birthweight for gestational age when very early births are included is discussed and a solution presented in the form of a birthweight ratio. The relationship is examined between birthweight ratio and many socioeconomic and psychological factors and shows that few are associated with reduced birthweight. Those associations which are observed can be explained by smoking. Alcohol and caffeine are only related to birthweight in smokers. When the smoking habit is analysed in terms of quantity and constituents, a threshold is observed whereby women smoking a low number of low yield cigarettes have mean birthweight similar to non-smokers. For women smoking higher numbers of cigarettes but a low yield brand mean birthweight is reduced by the same amount (6% or more) as women smoking high yield brands. The effect on birthweight of alcohol and caffeine in smokers only is adjusted for smoking by using this threshold. This shows that smoking, alcohol and caffeine are all associated with reduced birthweight. For alcohol and caffeine consumption this relationship is strongest in early pregnancy and weakest near delivery. The association between smoking and birthweight is not explained by any of the wide range of confounding factors examined. This provides evidence that the relationship is a causal one.
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Doyle, Wendy. "Maternal nutrition and low birthweight." Thesis, Brunel University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267895.

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Mathai, Matthews. "Fetal growth in India : studies on antenatal prediction of low birthweight and some factors that determine birthweight /." Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3421-5/.

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Headley, La Tosha. "Effects of Maternal Obesity on Preterm Birth and Birthweight." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7661.

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Obesity is one of the major risk factors for neonate low birthweight among reproductive women. The purpose of this quantitative study was to examine the association between 3 categories of obese status (moderate, severe, and very severe) and low neonate birthweight and preterm birth among women ages 18 to 39 years at all socioeconomic levels. Secondary data were obtained from 141,859 women ages 18-39 years living in the United States who had participated in the 2012-2015 Pregnancy Risk Assessment Monitoring System. Social-ecological theory was used to guide the study, and binary logistic regression was used for the analyses adjusting for age, education, ethnicity, income, marital status, and race confounders. Without accounting for the confounders, moderate, severe, and very severe obesity were associated with preterm birth. However, after adjusting for confounders, the obese categories were no longer associated with preterm birth. The estimated prevalence of preterm birth was higher among moderate, severe, and very severe obesity categories combined (56 preterm births per 1,000 live births) than among normal weight women (43 preterm births per 1,000 live births). Women of moderate obesity had a 10% statistically significant higher odds (p = .046, OR = 1.095) of neonate low birthweight when compared with very severely obese women. Severely obese women were not associated with neonate low birthweight when compared to women with very severe obese status (p = 0.159, OR = 1.056). Findings may be used to promote healthy lifestyle changes that could reduce the prevalence of preterm birth among obese women.
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Corey, William Frederick. "A Preschool-Age Neurodevelopmental Comparison Between Normal-Birthweight Infants and Low-BirthWeight Infants With and Without Intraventricular Hemorrhage." DigitalCommons@USU, 1989. https://digitalcommons.usu.edu/etd/6000.

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Advances in medical technology have provided the mechanisms for sustaining life in premature and low-birthweight infants, resulting in the survival of more of these infants. Low-birthweight (LBW) and preterm infants are placed at risk by a number of medical complications, including intraventricular hemorrhage (IVH). The outcome of low-birthweight infants with intraventricular hemorrhage has been the subject of a great deal of research and continues to be a much-discussed topic in the medical and psychological communities. As more data become available, it appears that more questions arise concerning the later neuodevelopmental and neuropsychological outcome of these infants. For this reason, research concerning the later status of infants born with intraventricular hemorrhage is needed. The purpose of this study was to determine if there are differences in cognitive and motor functioning among infants with intraventricular hemorrhage (IVH), infants who were low birthweight (LBW), and normal-birthweight (NBW) infants. Forty-four subjects (10 with mild IVH, 9 with severe IVH, 12 LBW, and 13 NBW), who were born between January 1, 1984, and June 1, 1985, and were either patients in the neonatal intensive care unit at University of Utah Medical Center (the IVH and LBW infants) or were residents of the well-baby nursery (the NBW infants) at University of Utah Medical Center, served as the sample population. The subjects were tested at 3 to 4.5 years of age using the Stanford-Binet Intelligence Scales (Fourth Edition) and the motor section of the McCarthy Scales of Children's Abilities. In addition, infant medical data were obtained from medical records, and demographic data were collected including mother's age at time of birth, family income, mother's and father's education level, and birth order of the infant. The MIVH, SIVH, and LBW groups had significantly lower gestational ages and birthweights and significantly more medical complications than did the NBW group. The MIVH and SIVH groups also had significantly lower birthweight and gestational ages than did the LBW group, but approximately equivalent numbers of medical complications. Significant group differences were found only between the MIVH and NBW groups on the McCarthy motor score, with the MIVH group appearing to outperform the NBW group following statistical manipulation with analysis of covariance. No other significant group differences were found. Further research with a larger sample is recommended in order to more fully understand the later outcome following LBW and IVH.
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Lyttle, Steven. "Temperament in very-low-birthweight preterm infants." Thesis, Queen's University Belfast, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295416.

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Roberts, B. Lynne. "Very low birthweight children in primary school." Thesis, University of Liverpool, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317215.

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Blair, Lisa M. "Cognitive Risk Mapping in Low Birthweight Children." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu153202738375901.

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Books on the topic "Birthweight"

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Preventing low birthweight. Washington, D.C: National Academy Press, 1985.

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Nametz, Patricia. Low birthweight in Wisconsin. [Madison, Wis.]: Wisconsin Dept. of Health and Social Services, Division of Health, Center for Health Statistics, 1989.

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Institute of Medicine (U.S.). Committee to Study the Prevention of Low Birthweight. Preventing low birthweight: Summary. Washington, D.C: National Academy Press, 1985.

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McGee, Anna-Maria. Language development in very low birthweight children. Birmingham: University of Birmingham, 1988.

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Chaikind, Stephen. The special education costs of low birthweight. Cambridge, MA: National Bureau of Economic Research, 1990.

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Dunn, Henry. Sequelae of low birthweight: The Vancouver study. London: Mac Keith Press, 1986.

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Corman, Hope. Demographic analysis of birthweight-specific neonatal mortality. Cambridge, MA: National Bureau of Economic Research, 1988.

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Adamkin, David H. Nutritional strategies for the very low birthweight infant. Cambridge: Cambridge University Press, 2009.

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Adamkin, David H. Nutritional strategies for the very low birthweight infant. New York: Cambridge University Press, 2009.

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A, Carr-Hill R. The development and exploitation of empirical birthweight standards. London, U.K: Macmillan, 1985.

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Book chapters on the topic "Birthweight"

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Carr-Hill, Roy, and Colin Pritchard. "Birthweight surveys." In The Development and Exploitation of Empirical Birthweight Standards, 38–43. London: Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-07434-1_4.

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Carr-Hill, Roy, and Colin Pritchard. "Factors affecting birthweight." In The Development and Exploitation of Empirical Birthweight Standards, 29–37. London: Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-07434-1_3.

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Kalter, Harold. "Birthweight and Impairments." In Mortality and Maldevelopment, 12–20. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5918-6_4.

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Emory, Eugene K., Tammy M. Savoie, and Kay A. Toomey. "Prematurity and Low Birthweight." In Applied Clinical Psychology, 323–35. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0505-7_20.

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Carr-Hill, Roy, and Colin Pritchard. "Birthweight trends since 1950." In The Development and Exploitation of Empirical Birthweight Standards, 8–26. London: Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-07434-1_2.

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Carr-Hill, Roy, and Colin Pritchard. "Clinical standards for birthweight." In The Development and Exploitation of Empirical Birthweight Standards, 123–32. London: Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-07434-1_9.

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Oken, Emily. "Secular Trends in Birthweight." In Recent Advances in Growth Research: Nutritional, Molecular and Endocrine Perspectives, 103–14. Basel: S. KARGER AG, 2013. http://dx.doi.org/10.1159/000342576.

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Alam, Dewan S. "Prevention of Low Birthweight." In Nestlé Nutrition Institute Workshop Series: Pediatric Program, 209–25. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000209983.

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Kalter, Harold. "Cardiovascular Malformations and Birthweight." In Mortality and Maldevelopment, 96–97. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5918-6_10.

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Bugental, Daphne Blunt. "Low Birthweight and Preterm Infants." In Encyclopedia of Evolutionary Psychological Science, 1–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16999-6_1900-1.

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Conference papers on the topic "Birthweight"

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Ayu Ramadhani Amir, Nikmah, Uki Retno Budihastuti, and Bhisma Murti. "Factors Associated with Birthweight." In The 4th International Conference on Public Health 2018. Masters Program in Public Health, Universitas Sebelas Maret, 2018. http://dx.doi.org/10.26911/theicph.2018.03.47.

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Karmany, Putu Anggi Widia, Setyo Sri Rahardjo, and Bhisma Murti. "Effect of Low Birth Weight on the Risk of Pneumonia in Children Under Five: Meta-Analysis." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.61.

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ackground: Pneumonia remains the foremost cause of death from infectious diseases in children under five. Previous studies reported the association between low birth weight and pneumonia in children under five. The purpose of this meta-analysis study was to assess the effect of low birth weight on the risk of pneumonia in children under five. Subjects and Method: This was meta-analysis and systematic review. The study collected published articles from Google Scholar, PubMed, and Springer Link databases. Keywords used “birth weight” AND “pneumonia children under 5” OR “pneumonia” AND “case control”. The inclusion criteria were full text, using English language, and using case control study design. The study subject was children under five. Intervention was low birthweight with comparison normal birthweight. The study outcome was pneumonia. The data were analyzed using RevMan 5.3 program. Results: 6 studies from Nepal, Ethiopia, India, Tanzania, Brazil, and Egypt. This study reported that children with history of low birthweight had the risk of pneumonia 1.96 times than those with normal birthweight (aOR = 1.96; 95% CI= 0.99 to 3.86; p= 0.050). Conclusion: Low birthweight increases the risk of pneumonia in children under five. Keywords: pneumonia, low birth weight, children under five Correspondence: Putu Anggi Widia Karmany. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: putuanggiwidiakarmany@-gmail.com. Mobile: 087864306006
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Kuswandari, Eti, Harsono Salimo, and Yulia Lanti Retno Dewi. "Social Economic Determinants of Birth Weight: Path Analysis Evidence from Situbondo, East Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.104.

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ABSTRACT Background: Social economics and environmental factors contribute to low birthweight. Cigarette exposure to tobacco smoke in pregnant women has been discerned as an important risk factor for low birth weight. The purpose of this study was to investigate social economic determinants of birth weight using path analysis model. Subjects and Method: A case control study was carried out at Asembagus community health center, Situbondo, East Java. The study population was children aged 0-1 years. A sample of 150 children with normal birthweight and 50 children with low birth weight was selected randomly. The dependent variable was low bierthweight. The independent variables were maternal age, maternal employment status, family income, maternal knowledge, and cigarette smoke exposure. The data were collected by questionnaire and analyzed by path analysis. Results: The risk of low birthweight was directly and positively associated with maternal age <20 or ≥35 years (b= 1.78; 95% CI= 0.83 to 2.73; p<0.001), low maternal education (<Senior high school) (b= 0.93; 95% CI= 0.00 to 1.86; p= 0.049), mother work outside the home (b= 1.24; 95% CI= 0.26 to 2.22; p= 0.013), low family income low (b= 1.33; 95% CI= 0.42 to 2.24; p= 0.004), low maternal knowledge (b= 1.17; 95% CI= 0.13 to 2.21; p= 0.026), and high cigarette smoke exposure (b= 1.11; CI 95%= 0.08 to 2.13; p= 0.035). The risk of low birthweight was indirectly and positively associated with maternal education, maternal knowledge, and family income. Conclusion: The risk of low birthweight is directly and positively associated with maternal age <20 or ≥35 years, low maternal education (<Senior high school), mother work outside the home, low family income low, low maternal knowledge, and high cigarette smoke exposure. The risk of low birthweight is indirectly and positively associated with maternal education, maternal knowledge, and family income. Keywords: low birthweight, cigarette smoke exposure, social economy determinants, path analysis Correspondence: Eti Kuswandari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: etikuswandari.eki@gmail.com. Mobile: +6282132770153. DOI: https://doi.org/10.26911/the7thicph.03.104
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Salem Mahmoud, Yasmin, C. Corin Willers, Sofia Amylidi-Mohr, Anne-Christianne Kentgens, Philipp Latzin, Luigi Raio, and Sophie Yammine. "Later lung function in birthweight discordant monozygotic twins." In ERS International Congress 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/13993003.congress-2021.oa1300.

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Arifian, Imam Setya, Vitri Widyaningsih, and Hanung Prasetya. "Meta-Analysis: The Effect of Active Smokers in Pregnant Women on Low Birth Weight." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.132.

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ABSTRACT Background: Intrauterine exposure to tobacco smoke has been discerned as an important risk factor for low birth weight, small for gestational age, and preterm birth infants. The purpose of this study was to investigate the effect of active smokers in pregnant women on low birth weight. Subjects and Method: This was meta analysis and systematic review. The study was conducted by collecting published articles from Google Scholar, and PubMed databases, from year 2010 to 2020. Keywords used “Maternal Smoking” OR “Low Birth Weight” AND “cross sectional”. The study subject was pregnant women. Intervention was active tobacco smokers with comparison non-smokers. The study outcome was low birthweight. The collected articles were selected by PRISMA flow chart. The quantitative data were analyzed using Revman 5.3. Results: 4 studies from Brazil, East Ethiopia, Southern Ethiopia, Turkey, Taiwan, and Romania reported that active smokers in pregnant women increased the risk of low birthweight (aOR= 2.17; 95% CI= 1.05 to 4.51; p<0.001). Conclusion: Active smokers in pregnant women increase the risk of low birthweight. Keywords: active smokers, pregnant women, low birth weight Correspondence: Imam Setya Arifian. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: imamsetyaarifian@gmail.com. Mobile: 0852 5340 2793. DOI: https://doi.org/10.26911/the7thicph.03.132
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Kenningham, Katherine, Sarah Lowry, aneesh Batra, Krystle Perez, Stephanie Gee, Maneesh Batra, Krystle Perez, Stephanie Gee, and Elizabeth Dawson-Hahn. "Effect of Maternal Duration in Refugee Camps on Infant Birthweight." In AAP National Conference & Exhibition Meeting Abstracts. American Academy of Pediatrics, 2021. http://dx.doi.org/10.1542/peds.147.3_meetingabstract.266.

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Echevarria, Emily, and Scott Lorch. "Familial Educational Attainment and Racial Disparities in Low Birthweight Infants." In AAP National Conference & Exhibition Meeting Abstracts. American Academy of Pediatrics, 2021. http://dx.doi.org/10.1542/peds.147.3_meetingabstract.653.

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Fa’ni, Renidya Asyura Muttabi’ Deya, Yulia Lanti Retno Dewi, and Isna Qadrijati. "Path Analysis on the Determinants of Complementary Feeding Practice." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.103.

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ABSTRACT Background: Complementary feeding practice is needed to be optimized to maximize children’s potential for growth and development. However, there are still many obstacles in provide complementary feeding practice. This study aimed to examine the determinants of complementary feeding practice. Subjects and Method: A cross sectional study was conducted in Gunungkidul, Yogyakarta, Indonesia, from October to November 2019. A sample of 200 mothers who had infants aged 6-24 months was selected by probability sampling. The dependent variable was complementary feeding practice. The independent variables were birthweight, child nutritional status, maternal knowledge toward complementary feeding, maternal education, and family income. The data were collected by infant weight scale, infantometer, and questionnaire. The data were analyzed by a multiple logistic regression run on Stata 13. Results: Complementary feeding practice increased with birthweight ≥2500 g (b= 2.67; 95% CI=0.59 to.89; p= 0.008), child nutritional status (WHZ) -2.0 to 2.0 SD (b= 2.72; 95% CI=o.75 to 4.61; p= 0.006), high maternal knowledge toward complementary feeding (b= 2.27; 95% CI= 0.27 to 3.79; p= 0.023), maternal education ≥Senior high school (b= 2.19; 95% CI= 0.23 to 4.25; p= 0.028), and family income ≥Rp 1,571,000 (b= 2.42; 95% CI= 0.39 to 3.77; p= 0.015). Conclusion: Complementary feeding practice increases with birthweight ≥2500 g, good child nutritional status, high maternal knowledge toward complementary feeding, high maternal education, and high family income. Keywords: complementary feeding, path analysis Correspondence: Renidya Asyura Muttabi’ Deya Fa’ni. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: renidyamdf@gmail.com. Mobile: +62 815 3934 0421. DOI: https://doi.org/10.26911/the7thicph.03.103
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Saputri, Dyah Ayu, Yulia Lanti Retno Dewi, and Bhisma Murti. "Biological, Social, and Economic Risk Factors of Child Tuberculosis in Surakarta Central Java: A Multiple Logistic Regression." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.45.

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ABSTRACT Background: Tuberculosis (TB) disease in children under 15 years (pediatric TB) is a public health problem of special significance because it is a marker for recent transmission of TB. This study aimed to analyze biological, social, and economic risk factors of child TB. Subjects and Method: A case control study was carried out at 25 villages in Surakarta, from August to September 2019. A sample of 200 chilren aged 0-18 years was selected by fixed disease sampling. The dependent variable was TB. The independent variables were birthweight, BCG immunization, exclusive breastfeeding, nutritional status, family income, smoke exposure, family history of TB. Data on TB cases were obtained from medical record. The other variables were collected by questionnaire. The data were analyzed by a multiple logistic regression. Results: The risk of TB increased with poor house sanitation (OR= 4.50; 95% CI= 1.18 to 17.12; p= 0.027), smoke exposure (OR= 4.13; 95% CI= 1.05 to 16.22; p= 0.042), and had history of TB (OR= 5.54; 95% CI= 1.49 to 20.61; p= 0.011). The risk of TB decreased with normal birthweight ≥2,500 g (OR= 0.18; 95% CI= 0.05 to 0.57; p= 0.003), BCG immunization (OR= 0.18; 95% CI= 0.06 to 0.58 p= 0.004), exclusive breastfeeding (OR= 0.11; 95% CI= 0.02 to 0.55; p= 0.006), good nutritional status (OR= 0.10; 95% CI= 0.02 to 0.48; p= 0.004), and family income ≥Rp1,802,700 (OR= 0.09; 95% CI= 0.02 to 0.36; p= 0.001). Conclusion: The risk of TB increases with poor house sanitation, smoke exposure, and had history of TB. The risk of TB decreases with normal birthweight ≥2,500 g, BCG immunization, exclusive breastfeeding, good nutritional status, and high family income. Keywords: Tuberkulosis, biological, sosial dan ekonomi. Correspondence: Dyah Ayu Saputri. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: ayusaputridyah7@gmail.com. Mobile: 081353236388. DOI: https://doi.org/10.26911/the7thicph.01.45
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Purwaningsih, Yustina, Yulia Lanti Retno Dewi, Dono Indarto, and Bhisma Murti. "ow Birthweight, Preterm Birth, and Their Associations with the Risk of Asphyxia." In The 4th International Conference on Public Health 2018. Masters Program in Public Health, Universitas Sebelas Maret, 2018. http://dx.doi.org/10.26911/theicph.2018.03.48.

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Reports on the topic "Birthweight"

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Corman, Hope, Michael Grossman, and Theodore Joyce. Demographic Analysis of Birthweight-Specific Neonatal Mortality. Cambridge, MA: National Bureau of Economic Research, December 1988. http://dx.doi.org/10.3386/w2804.

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Chaikind, Stephen, and Hope Corman. The Special Education Costs of Low Birthweight. Cambridge, MA: National Bureau of Economic Research, October 1990. http://dx.doi.org/10.3386/w3461.

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Grossman, Michael, and Theodore Joyce. Unobservables, Pregnancy Resolutions, and Birthweight Production Functions in New York City. Cambridge, MA: National Bureau of Economic Research, October 1988. http://dx.doi.org/10.3386/w2746.

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Aparicio, Gabriela, María Paula Gerardino, and Marcos Rangel. Gender Gaps in Birthweight: The Effects of Air Pollution across Latin America. Inter-American Development Bank, January 2019. http://dx.doi.org/10.18235/0001838.

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Hoyert, Donna, and Elizabeth Gregory C.W. Cause-of-death Data From the Fetal Death File, 2018–2020. National Center for Health Statistics (U.S.), October 2022. http://dx.doi.org/10.15620/cdc:120533.

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Frank, Richard, Donna Strobino, David Salkever, and Catherine Jackson. Poverty Programs, Initiation Of Prenatal Care And The Rate Of Low Birthweight Births. Cambridge, MA: National Bureau of Economic Research, December 1989. http://dx.doi.org/10.3386/w3215.

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Frank, Richard, Donna Strobino, David Salkever, and Catherine Jackson. Updated Estimates of the Impact of Prenatal Care on Birthweight Outcomes by Race. Cambridge, MA: National Bureau of Economic Research, February 1991. http://dx.doi.org/10.3386/w3624.

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Chernozhukov, Victor, and Ivan Fernandez-Val. Inference for extremal conditional quantile models, with an application to market and birthweight risks. Institute for Fiscal Studies, December 2011. http://dx.doi.org/10.1920/wp.cem.2011.4011.

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Gregory, Elizabeth, Claudia Valenzuela, and Donna Hoyert. Fetal Mortality: United States, 2019. National Center for Health Statistics (U.S.), October 2021. http://dx.doi.org/10.15620/cdc:109456.

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This report presents 2019 fetal mortality data by maternal race and Hispanic origin, age, tobacco use during pregnancy, and state of residence, as well as by plurality, sex, gestational age, birthweight, and selected causes of death. Trends in fetal mortality are also examined.
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Gregory C.W., Elizabeth, Claudia Valenzuela, and Donna Hoyert. Fetal Mortality: United States, 2020. National Center for Health Statistics (U.S.), August 2022. http://dx.doi.org/10.15620/cdc:118420.

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This report presents 2020 fetal mortality data by maternal race and Hispanic origin, age, tobacco use during pregnancy, and state of residence, as well as by plurality, sex, gestational age, birthweight, and selected causes of death. Trends in fetal mortality are also examined.
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