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Journal articles on the topic 'Weight at birth'

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Published: 9 March 2023

Last updated: 10 March 2023

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1

Rees, Jane M., Sally A. Lederman, and John L. Kiely. "Birth Weight Associated With Lowest Neonatal Mortality: Infants of Adolescent and Adult Mothers." Pediatrics 98, no. 6 (December 1, 1996): 1161–66. http://dx.doi.org/10.1542/peds.98.6.1161.

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Objective. We tested the hypothesis that survival is highest for infants born in the same weight range whether mothers are adolescent or adult, comparing the weights at which infants of these mothers achieve lowest neonatal mortality. Methods. The relationship between birth weight and neonatal mortality was studied in births to 16.4 million women using the National Center for Health Statistics 1983-1987 national linked birth/infant death data sets. Neonatal mortality rates were calculated for 500 g birth weight categories. Births for maternal ages ≤15 years, 16 years, and 17 to 18 years were compared with births to adults 19 to 34 years of age, whites and blacks considered separately. The birth weight categories associated with minimum neonatal mortality and the weight range corresponding with greatest survival were determined for each age and racial group. Results. Minimum neonatal mortality rates occurred at the same birth weights (3500 to 4499 g white and 3000 to 3999 g black) whether mothers of the infants were adolescents or adults. The most favorable range of birth weight, in which survival was greatest, commenced at 3000 g for all mothers, terminating at 3999 g for most black adolescents and black adults, 4499 g for most white adolescents, and 4999 g for white adults. Of infants born to mothers ≤16 years old, 33% were lighter and 1.5% were heavier than the favorable birth weight range. Conclusion. The birth weight categories with minimum neonatal mortality and the birth weight range in which neonatal survival was greatest were comparable for infants of adolescents and adults. Lower birth weights, occurring more frequently in births to teenage mothers, were associated with higher neonatal mortality. Assisting adolescent mothers to bear infants with birth weights in the range corresponding with low neonatal mortality is an appropriate goal of clinical management.

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2

EGGLESTON, ELIZABETH, AMY ONG TSUI, and JUDITH FORTNEY. "ASSESSING SURVEY MEASURES OF INFANT BIRTH WEIGHT AND BIRTH SIZE IN ECUADOR." Journal of Biosocial Science 32, no. 3 (July 2000): 373–82. http://dx.doi.org/10.1017/s0021932000003734.

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The purpose of this study was to assess the utility of using maternal assessments of infant birth size as proxy measures for birth weight in Ecuador, a country in which a sizeable proportion of births take place at home, where birth weight is typically not recorded. Four thousand and seventy-eight women who experienced a live singleton birth between January 1992 and August 1994 were interviewed in the Ecuador Demographic and Maternal–Child Health Survey. All women were asked if their child was weighed at birth, his/her weight, and what they considered to be his/her birth size relative to other newborns. The consistency between birth size and birth weight measures was assessed, and the differences between infants with and without reported birth weights were explored. The authors conclude that maternal assessments of birth size are poor proxy indicators of birth weight. Estimates of low birth weight based on maternal assessments of birth size as very small should be recognized as underestimates of the actual prevalence of low birth weight. Moreover, infants for whom birth weights are missing should not be considered similar to those for whom weight was reported. Those without reported birth weights are more likely to be low birth weight. Thus, relying solely on reports of numeric birth weight will underestimate the prevalence of low birth weight.

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3

Shahabuddin, Aiman Moeen, Ihsan Ullah, and Niaz Mohammad. "BIRTH WEIGHT." Professional Medical Journal 25, no. 05 (May 7, 2018): 714–18. http://dx.doi.org/10.29309/tpmj/18.4541.

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4

Din, Shahabud, Aiman Moeen, Ihsan Ullah, and Niaz Mohammad. "BIRTH WEIGHT." Professional Medical Journal 25, no. 05 (May 10, 2018): 714–18. http://dx.doi.org/10.29309/tpmj/2018.25.05.314.

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Objectives: To evaluate the birth weight in infants born to diabetic mothersand to compare it with those born to nondiabetic mothers. Study Design: Descriptive crosssectional study. Setting: Gynae and obstetrics unit Hayatabad Medical Complex Peshawar inassociation with Anatomy Department Khyber Girls Medical College Peshawar. Period: January2015 to June 2015. Material and Methods: This study was carried out on babies born todiabetic as well as non-diabetic healthy mothers. A total number of 100 diabetic mothers and100 nondiabetic healthy mothers were selected for this study. After delivery, the weight andsex of the babies born to diabetic as well as nondiabetic mothers along with the motherfs agewere noted on an observation sheet. The studentfs t test was applied for all quantitative data.A p-value of . 0.05 was taken significant. Results: The mean birth weight of female babiesborn to diabetic mothers was significantly greater than babies of nondiabetic mothers (p=0.05). No significant difference (p=0.11) was noted when the birth weight of all babies bornto diabetic mothers was compared to all babies born to nondiabetic mothers. No significantdifference (p= 0.51) was noted in babies belonging to younger nondiabetic and diabeticmothers but a significant difference (p=0.01) was noted when birth weight of babies from oldernondiabetic mothers was compared with birth weight of babies from older diabetic mothers.Conclusion: The birth weight of female babies born to diabetic mothers was significantly moreas compared to babies born to nondiabetic mothers. A significant difference was also notedwhen birth weight of babies from older diabetic mothers was compared with the babies of oldernondiabetic mothers. This larger weight of babies may be due to maternal diabetes which mayaffect the normal development of fetus leading to an increased morbidity and mortality in babiesas well as mothers.

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5

Kemfang Ngowa, Jean Dupont, Irénée Domkam, Anny Ngassam, Georges Nguefack-Tsague, Walter Dobgima Pisoh, Cyrille Noa, and Jean Marie Kasia. "References of Birth Weights for Gestational Age and Sex from a Large Cohort of Singleton Births in Cameroon." Obstetrics and Gynecology International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/361451.

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Objective.To establish the percentile charts of birth weights for gestational age and sex within the Cameroonian population.Methods.A review of medical records of infants born between January 2007 and December 2011 at the maternities of two hospitals in Cameroon, Central Africa. Multiple pregnancies, births of HIV infected women, stillbirths, and births with major fetal malformations were excluded. The smooth curves of birth weight for gestational age and sex were created using the Gamlss package under R.3.0.1 software.Results.The birth weights of 12837 live birth singleton infants born to HIV negative women between 28 and 42 weeks of gestation were analyzed to construct the birth weight curves for gestational age and sex. The smoothed percentile curves of birth weights for gestational age and sex of Cameroonian infants have demonstrated an increasing slope until 40 weeks and then a plateau. There was a varied difference of distribution in birth weights for gestational age between Cameroonian, Botswanan, American, and French infants.Conclusion.We established the reference curves of birth weights for gestational age and sex for Cameroonians. The difference in birth weight curves noted between Cameroonian, Botswanan, American, and French infants suggests the importance of establishing the regional birth weight norms.

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6

Esmaeili, Maryam, Alireza Jashni Motlagh, and Mitra Rahimzadeh. "Factors Associated with Re-Admission and Mortality Rate in Low Birth Weight and Very Low Birth Weight Infant." International Journal of Psychosocial Rehabilitation 24, no. 03 (February 18, 2020): 1407–14. http://dx.doi.org/10.37200/ijpr/v24i3/pr200890.

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7

Campbell, Angela G., and Patricia Y. Miranda. "Breastfeeding Trends Among Very Low Birth Weight, Low Birth Weight, and Normal Birth Weight Infants." Journal of Pediatrics 200 (September 2018): 71–78. http://dx.doi.org/10.1016/j.jpeds.2018.04.039.

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8

Jaworowicz, D. J., J. Nie, M. R. Bonner, D. Han, D. Vito, A. Hutson, N. Potischman, M. Trevisan, P. Muti, and J. L. Freudenheim. "Agreement between self-reported birth weight and birth certificate weights." Journal of Developmental Origins of Health and Disease 1, no. 2 (January 21, 2010): 106–13. http://dx.doi.org/10.1017/s2040174410000012.

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Birth weight is emerging as a potentially important risk factor for several chronic diseases with adult onset, including breast cancer. Because participant recall is frequently used to gather data on early life exposures, it is essential that the accuracy of recall be assessed and validated. Self-reported birth weights and birth certificate weights were compared in women aged 35–51 years from the Western New York Exposures and Breast Cancer (WEB) Study, a population-based case–control study. A total of 180 participants had both birth certificate and interview data on birth weight. Participants reported birth weight to one of six categories (<5, 5–5.5, 5.6–7, 7.1–8.5, 8.6–10 and >10 lbs). The Spearman correlation for self-reported and birth certificate weights was 0.67. Sixty percent of participants reported weights with exact agreement with birth certificate; unweighted and weighted kappas (κ) were 0.39 and 0.68, respectively. Spearman correlations were similar for cases (0.67) and controls (0.68). Controls exhibited a significantly higher unweighted κ (0.51) than cases (0.27; P = 0.03), but weighted κ were not statistically different [controls, 0.73; cases, 0.64 (P = 0.32)]. Demographic and anthropometric characteristics were not different between participants who underreported, overreported, or correctly reported their birth weight for either cases or controls. Overall, the level of agreement for report of birth weight and actual birth weight was fair to moderate.

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9

Poon, L. C. Y., M. Y. Tan, G. Yerlikaya, A. Syngelaki, and K. H. Nicolaides. "Birth weight in live births and stillbirths." Ultrasound in Obstetrics & Gynecology 48, no. 5 (November 2016): 602–6. http://dx.doi.org/10.1002/uog.17287.

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10

Chhetri, Mamta, Garima Tripathi, Rakshya Joshi, Subash Koirala, Shakuntala Chapagain, and Moni Subedi. "BIRTH WEIGHT AND ITS ASSOCIATED FACTORS AMONG LIVE BIRTHS AT CHITWAN MEDICAL COLLEGE, NEPAL." Journal of Chitwan Medical College 11, no. 4 (January 19, 2022): 28–31. http://dx.doi.org/10.54530/jcmc.590.

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Background: Birth weight or size at birth is an essential indicator of the child’s vulnerability to the risk of childhood illnesses and diseases. Birth weight also predicts a child’s future health, growth, psychosocial development, and chances of survival. This study aimed to assess birth weight among live births in Chitwan Medical College Teaching Hospital. Methods: A Hospital-based cross-sectional study was conducted using face-to-face interviews in the Obstetrics and Gynecology Department of Chitwan Medical College Teaching Hospital. A total of 153 women giving live births were considered as a sample. The data was collected from14 August to 13 September. We used the Pearson’s Chi-square test and binary logistic regression analysis to assess the factors influencing birth weight among women giving live births in Chitwan Medical College Results: Among 153 women giving live births, birth weight of newborn among live births 119(77.8%) had normal birth weight, 31(20.3%)low birth weight, 3(2%) very low birth weight. Result shows that birth weight among live births differ significantly with [ethnicity (OR=1.94;CI(0.7-5.39)], [family income (OR=1.72(0.20-14.81)], [weeks of pregnancy (OR=2.01;(0.99-8.46)], [birth interval(OR=2.45(0.39-15.34)], [planned pregnancy (OR=1.26(0.33-4.73)], [any chronic disease(OR=1.72(0.97-4.58)], [diet in pregnancy (OR=2.11(0.20-15.07)], [ANC check-up(OR=6.75(2.44-18.64)]. Conclusions: Almost one-fourth of live births had low birth weight. Multiple arrays of factors were associated with birth weight, which must be addressed. Adequate antenatal care visits integrated with nutritional supplementation and family planning services should be a focus to reduce low birth weight among live births.

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11

Abrams, Barbara F., and Russell K. Laros. "Prepregnancy weight, weight gain, and birth weight." American Journal of Obstetrics and Gynecology 154, no. 3 (March 1986): 503–9. http://dx.doi.org/10.1016/0002-9378(86)90591-0.

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12

Loudermilk, Laura. "Bolstering Birth Weight." AWHONN Lifelines 1, no. 6 (December 1997): 11. http://dx.doi.org/10.1111/j.1552-6356.1997.tb01386.x.

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13

TR, La Pine, Jaction JC, and Bennett FC. "LOW BIRTH WEIGHT." Journal of Developmental & Behavioral Pediatrics 17, no. 2 (April 1996): 130. http://dx.doi.org/10.1097/00004703-199604000-00033.

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14

Mann, N. "Birth weight symposium." Archives of Disease in Childhood - Fetal and Neonatal Edition 86, no. 1 (January 1, 2002): 2F—2. http://dx.doi.org/10.1136/fn.86.1.f2.

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15

Patterson, Jennifer, and George Foxcroft. "Gilt birth weight, sow birth weight phenotype and sow fertility." Revista Brasileira de Reprodução Animal 45, no. 4 (2021): 542–46. http://dx.doi.org/10.21451/1809-3000.rbra2021.073.

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16

Tavares, Margarida, Teresa Rodrigues, Filomena Cardoso, Henrique Barros, and L. Pereira Leite. "Independent effect of maternal birth weight on infant birth weight." Journal of Perinatal Medicine 24, no. 4 (January 1996): 391–96. http://dx.doi.org/10.1515/jpme.1996.24.4.391.

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17

DeVeaux, Richard, Stanley Swaby, Prabhudas Palan, and Magdy Mikhail. "Comparison Between Actual Birth Weight, Ultrasonographic Fetal Weight, and Formula-Based Birth Weight." Obstetrics & Gynecology 101, Supplement (April 2003): 117S. http://dx.doi.org/10.1097/00006250-200304001-00278.

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18

DEVEAUX, R. "Comparison between actual birth weight, ultrasonographic fetal weight, and formula-based birth weight." Obstetrics & Gynecology 101, no. 4 (April 2003): S117. http://dx.doi.org/10.1016/s0029-7844(02)03039-9.

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19

Krishna, Chandana. "Maternal Anthropometry and it’s Relationship to Birth Weight." International Journal of Preventive, Curative & Community Medicine 04, no. 04 (October 10, 2018): 48–53. http://dx.doi.org/10.24321/2454.325x.201836.

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20

B, Kankhare Sonali, Kulkarni Prasad G, Sukre S B, and Ponde Sanjay R. "UMBILICAL CORD LENGTH WITH RELATION TO BIRTH WEIGHT." International Journal of Anatomy and Research 6, no. 4.3 (December 5, 2018): 5954–58. http://dx.doi.org/10.16965/ijar.2018.383.

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21

Kumar, G. Anil, Sibin George, Md Akbar, Debarshi Bhattacharya, Priya Nanda, Lalit Dandona, and Rakhi Dandona. "Implications of the availability and distribution of birth weight on addressing neonatal mortality: population-based assessment from Bihar state of India." BMJ Open 12, no. 6 (June 2022): e061934. http://dx.doi.org/10.1136/bmjopen-2022-061934.

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ObjectiveA large proportion of neonatal deaths in India are attributable to low birth weight (LBW). We report population-based distribution and determinants of birth weight in Bihar state, and on the perceptions about birth weight among carers.DesignA cross-sectional household survey in a state representative sample of 6007 live births born in 2018–2019. Mothers provided detailed interviews on sociodemographic characteristics and birth weight, and their perceptions on LBW (birth weight <2500 g). We report on birth weight availability, LBW prevalence, neonatal mortality rate (NMR) by birth weight and perceptions of mothers on LBW implications.SettingBihar state, India.ParticipantsWomen with live birth between October 2018 and September 2019.ResultsA total of 5021 (83.5%) live births participated, and 3939 (78.4%) were weighed at birth. LBW prevalence among those with available birth weight was 18.4% (95% CI 17.1 to 19.7). Majority (87.5%) of the live births born at home were not weighed at birth. LBW prevalence decreased and birth weight ≥2500 g increased significantly with increasing wealth index quartile. NMR was significantly higher in live births weighing <1500 g (11.3%; 95% CI 5.1 to 23.1) and 1500–1999 g (8.0%; 95% CI 4.6 to 13.6) than those weighing ≥2500 g (1.3%, 95% CI 0.9 to 1.7). Assuming proportional correspondence of LBW and NMR in live births with and without birth weight, the estimated LBW among those without birth weight was 35.5% (95% CI 33.0 to 38.0) and among all live births irrespective of birth weight availability was 23.0% (95% CI 21.9 to 24.2). 70% of mothers considered LBW to be a sign of sickness, 59.5% perceived it as a risk of developing other illnesses and 8.6% as having an increased probability of death.ConclusionsMissing birth weight is substantially compromising the planning of interventions to address LBW at the population-level. Variations of LBW by place of delivery and sociodemographic indicators, and the perceptions of carers about LBW can facilitate appropriate actions to address LBW and the associated neonatal mortality.

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22

Jankowiak, H., P. Balogh, A. Cebulska, E. Vaclavkova, M. Bocian, and P. Reszka. "Impact of piglet birth weight on later rearing performance." Veterinární Medicína 65, No. 11 (November 26, 2020): 473–79. http://dx.doi.org/10.17221/117/2020-vetmed.

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The piglet birth weight and its variance within a litter may be considered important traits that influence pig productivity in the first and later stages of rearing. 222 piglets were evaluated from the moment they were born until weaning, and then as fattening pigs until the end of the fattening (n = 207) in three birth weight groups. Negative consequences of an excessively low piglet birth weight were observed, including higher mortality until weaning and a lower average daily gain during suckling. The correlation coefficients between the piglet birth weight and the remaining indicators confirmed the negative impact of the low piglet birth weight, fattening performance and carcass slaughter value (P < 0.01). The regression analysis between the piglet birth weight and the growth rate during the whole rearing phases indicated that only the piglet growth rate from birth to weaning is determined by their birth weight.

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23

Ali, Md Khoybar, Md Shafiul Alam Quarashi, Shahin Sultana, and Md Ziaur Rahman. "Observation of Birth Weight of Babies in relation on maternal age, parity and gestational age in Tertiary Level Hospital." Bangladesh Journal of Medical Science 19, no. 2 (January 16, 2020): 291–95. http://dx.doi.org/10.3329/bjms.v19i2.45010.

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Background: Birth weight of an infant is the most important determinant of its chances of survival, healthy growth, and development. It depends on many maternal factors. Maternal age, parity and gestational age have been shown to increase the risk of adverse neonatal outcome, such as intrauterine growth retardation, prematurity, mortality and low birth weight. Objective: This study was planned to observe the incidence of low birth weight baby and to correlate the maternal age, parity and gestational age on birth weight of babies. Methodology: It was a retrospective study. Data were collected from medical records. Total 2850 live births new born baby were enrolled in this study during the period January 2013 to December 2018 in Ibn Sina medical college and hospital, Dhaka, Bangladesh with inclusion criteria. The weights of the newborns were measured without clothes on a digital weighing scale soon after the birth. Parameters such as birth weight, gender of baby, maternal age, parity and gestational age of the mother were noted. Data were analyzed statistically. Results: 52.99% baby was male and 47.01% were female. Low birth weight baby were 33.3% in the age group of less than 18 years of aged mother. With increasing the age of mother, birth weight of babies increase. Primipara mother delivered 15.52% low birth weight baby and 84.48% normal birth weight baby. With increasing parity birth weight of baby increased. The birth weight of <2.5 kg was 19.27% and 80.73% baby’s birth weight >2.5 kg in mother more than 37 weeks of gestation. Baby born by 35-37 weeks of gestation had 27.69% low birth weight and 72.31% were normal birth weight. Incidence of low birth weight was 79.3% and normal birth weight 20.7% found by 32-34 weeks of gestation. Bangladesh Journal of Medical Science Vol.19(2) 2020 p.291-295

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Flynn, John T., Augusto Sola, William V. Good, and Roderic H. Phibbs. "Screening for Retinopathy of Prematurity—A Problem Solved?" Pediatrics 95, no. 5 (May 1, 1995): 755–57. http://dx.doi.org/10.1542/peds.95.5.755.

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In the United States there are about 4 million births annually,1 of which about 10% are premature. The percentage of premature births has increased over the last decade2 and every year there are >20 000 infants whose birth weight is 1250 g or under who survive beyond 28 days of life.3 An additional 32 000 surviving infants weigh between 1251 and 1500 g at birth. Both birth weight strata contain, by all that we know about the disease, infants at the highest risk for the development of retinopathy of prematurity (ROP). If infants of these birth weights are to be examined by ophthalmologists competent to perform indirect ophthalmoscopy on these tiny prematures, an average of 6 times during the period of highest susceptibility for the development of threshold ROP4 disease—32 to 40 weeks postconceptional age5,6—then we are talking about ±300 000 such examinations per year in the neonatal intensive care units across this country.

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25

Horng, Huann-Cheng, Wen-Ling Lee, and Peng-Hui Wang. "Maternal weight gain and birth weight." Journal of the Chinese Medical Association 84, no. 8 (June 8, 2021): 741–42. http://dx.doi.org/10.1097/jcma.0000000000000563.

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26

Binkin, Nancy J., Ray Yip, Lee Fleshood, and Frederick L. Trowbridge. "Birth Weight and Childhood Growth." Pediatrics 82, no. 6 (December 1, 1988): 828–34. http://dx.doi.org/10.1542/peds.82.6.828.

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Most previous studies of the relationship between birth weight and childhood growth have concentrated on the growth of low birth weight infants. To examine this relationship throughout the full range of birth weights, growth data for children <5 years of age from the Tennessee Special Supplemental Food Program for Women, Infants, and Children linked to birth certificate records for 1975 to 1985 were used. Growth status was compared for 500-g birth weight categories from 1,000 g to 4,999 g using mean Z scores and the percentage of children more than 2 SD above or less than 2 SD below the median for height for age, weight for age, and weight for height. Infants with lower birth weights were likely to remain shorter and lighter throughout childhood, especially those who were intrauterine growth retarded rather than premature. Conversely, those infants with higher birth weights were likely to remain taller and heavier and to have a higher risk of obesity. Birth weight is a strong predictor of weight and height in early childhood, not only for low birth weight children but also for those of normal and high birth weight.

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27

Student. "GENETIC COMPONENT AFFECTING BIRTH WEIGHT?" Pediatrics 97, no. 2 (February 1, 1996): 235. http://dx.doi.org/10.1542/peds.97.2.235.

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A mother who was herself small for gestational age(SGA) has a 2.5 higher risk (relative risk) of having a SGA child compared with a mother who was not SGA. The corresponding relative risk for preterm births was 1.2, and the relative risk for low birth weight was 2.2.

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28

MOHSIN, M., F. WONG, ADRIAN BAUMAN, and JUN BAI. "MATERNAL AND NEONATAL FACTORS INFLUENCING PREMATURE BIRTH AND LOW BIRTH WEIGHT IN AUSTRALIA." Journal of Biosocial Science 35, no. 2 (April 2003): 161–74. http://dx.doi.org/10.1017/s0021932003001615.

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This study identified the influences of neonatal and maternal factors on premature birth and low birth weight in New South Wales, Australia. Bivariate and multivariate analyses were used to explore the association of selected neonatal and maternal characteristics with premature birth and low birth weight. The findings of this study showed that premature birth and low birth weight rate significantly varied by infant sex, maternal age, marital status, Aboriginality, parity, maternal smoking behaviour during pregnancy and maternal hypertension. First-born infants, and infants born to mothers aged less than 20 years, or who were single, separated/divorced, Aboriginal or who smoked during the pregnancy, were at increased risk of being premature or of low birth weight. This study also found that risk factors for premature births and low birth weight were similar in both singleton and multiple births. Gestational age was confirmed to be the single most important risk factor for low birth weight. The findings of this study suggest that in order to reduce the incidence of low birth weight and premature births, health improvement strategies should focus on antismoking campaigns during pregnancy and other healthcare programmes targeted at the socially disadvantaged populations identified in the study.

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Beiguelman, Bernardo, Glória M. D. D. Colletto, Carla Franchi-Pinto, and Henrique Krieger. "Birth weight of twins: 2. Fetal genetic effect on birth weight." Genetics and Molecular Biology 21, no. 1 (March 1998): 155–58. http://dx.doi.org/10.1590/s1415-47571998000100026.

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Intraclass correlation coefficients were calculated for the birth weights of twins born at three southeastern Brazilian hospitals, after adjustment of the natural logarithms of these weights for gestational age, its quadratic and cubic terms, sex, and their interactions. The data indicate that fetal genetic effect on birth weight might have the opportunity to be demonstrated by children born to undernourished women. Undernourishment, acting as a selective force, might enhance the existence of genotypes that determine less need of food for normal development.

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30

Strutz, Kelly L., Vijaya K. Hogan, Anna Maria Siega-Riz, Chirayath M. Suchindran, Carolyn Tucker Halpern, and Jon M. Hussey. "Preconception Stress, Birth Weight, and Birth Weight Disparities Among US Women." American Journal of Public Health 104, no. 8 (August 2014): e125-e132. http://dx.doi.org/10.2105/ajph.2014.301904.

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31

Dimitriev, D., and A. Dimitriev. "Air Pollution and Birth Weight in Chuvashia: Low Birth Weight Paradox." Epidemiology 18, Suppl (September 2007): S73—S74. http://dx.doi.org/10.1097/01.ede.0000276658.75812.fb.

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32

Saavedra, Martin. "Birth weight and infant health for multiple births." Journal of Health Economics 69 (January 2020): 102255. http://dx.doi.org/10.1016/j.jhealeco.2019.102255.

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33

Shaffer, Stanley G., Cheryl L. Quimiro, John V. Anderson, and Robert T. Hall. "Postnatal Weight Changes in Low Birth Weight Infants." Pediatrics 79, no. 5 (May 1, 1987): 702–5. http://dx.doi.org/10.1542/peds.79.5.702.

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Postnatal body weight changes were assessed in 385 surviving infants with birth weights of less than 2,500 g. Body weight was measured daily between birth and 45 days of age. Infants were grouped according to 100-g birth weight categories, and mean body weight changes for each group were compared. Initial postnatal weight loss occurred in each group and ranged between 7.9% and 14.6% of birth weight. Mean postnatal weight loss was greater in the lowest birth weight groups, but considerable variability was observed among individual infants. Duration of postnatal weight loss was similar among all birth weight groups. Weight gain usually began between four and six days of age, and the rate of weight gain expressed as grams per kilogram per day was similar in all birth weight groups.

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34

Dombrowski, Mitchell P. "Birth Weight–Length Ratios, Ponderal Indexes, Placental Weights, and Birth Weight–Placenta Ratios in a Large Population." Archives of Pediatrics & Adolescent Medicine 148, no. 5 (May 1, 1994): 508. http://dx.doi.org/10.1001/archpedi.1994.02170050066012.

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35

Hazel, Elizabeth A., Luke C. Mullany, Scott L. Zeger, Diwakar Mohan, Seema Subedi, James M. Tielsch, Subarna K. Khatry, and Joanne Katz. "Development of an imputation model to recalibrate birth weights measured in the early neonatal period to time at delivery and assessment of its impact on size-for-gestational age and low birthweight prevalence estimates: a secondary analysis of a pregnancy cohort in rural Nepal." BMJ Open 12, no. 7 (July 2022): e060105. http://dx.doi.org/10.1136/bmjopen-2021-060105.

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ObjectivesIn low-income countries, birth weights for home deliveries are often measured at the nadir when babies may lose up of 10% of their birth weight, biasing estimates of small-for-gestational age (SGA) and low birth weight (LBW). We aimed to develop an imputation model that predicts the ‘true’ birth weight at time of delivery.DesignWe developed and applied a model that recalibrates weights measured in the early neonatal period to time=0 at delivery and uses those recalibrated birth weights to impute missing birth weights.SettingThis is a secondary analysis of pregnancy cohort data from two studies in Sarlahi district, Nepal.ParticipantsThe participants are 457 babies with daily weights measured in the first 10 days of life from a subsample of a larger clinical trial on chlorhexidine (CHX) neonatal skin cleansing and 31 116 babies followed through the neonatal period to test the impact of neonatal massage oil type (Nepal Oil Massage Study (NOMS)).Outcome measuresWe developed an empirical Bayes model of early neonatal weight change using CHX trial longitudinal data and applied it to the NOMS dataset to recalibrate and then impute birth weight at delivery. The outcomes are size-for-gestational age and LBW.ResultsWhen using the imputed birth weights, the proportion of SGA is reduced from 49% (95% CI: 48% to 49%) to 44% (95% CI: 43% to 44%). Low birth weight is reduced from 30% (95% CI: 30% to 31%) to 27% (95% CI: 26% to 27%). The proportion of babies born large-for-gestational age increased from 4% (95% CI: 4% to 4%) to 5% (95% CI: 5% to 5%).ConclusionsUsing weights measured around the nadir overestimates the prevalence of SGA and LBW. Studies in low-income settings with high levels of home births should consider a similar recalibration and imputation model to generate more accurate population estimates of small and vulnerable newborns.

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Barnett, Elizabeth. "Race Differences in the Proportion of Low Birth Weight Attributable to Maternal Cigarette Smoking in a Low-Income Population." American Journal of Health Promotion 10, no. 2 (November 1995): 105–10. http://dx.doi.org/10.4278/0890-1171-10.2.105.

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Purpose. To quantify race differences in the public health impact of maternal cigarette smoking on infant birth weight and to estimate the proportion of low birth weight births that could be prevented by maternal smoking cessation. Design. A cohort that consisted of 77,751 mother-infant pairs was evaluated retrospectively. Setting. Statewide study of Women, Infants and Children participants in North Carolina. Subjects. African-American and non-Hispanic white women who delivered a single live infant during 1988, 1989, or 1990. Measures. Logistic regression estimates of the relative risk of low birth weight births for smokers were used to calculate adjusted population attributable risk percentages for smoking. Separate population attributable risk percentages were calculated for total low birth weight, moderately low birth weight, and very low birth weight, and all estimates were adjusted for prepregnancy body mass index, gestational weight gain, age, education, parity, and timing of entry into prenatal care. Results. Non-Hispanic whites had a much higher prevalence of smoking and were heavier smokers than African-Americans. For both moderately low birth weight and very low birth weight, the population attributable risk percentages for smoking were twice as high for non-Hispanic whites than for African-Americans. Overall, after adjustment, 30.7% of low birth weight births among non-Hispanic whites and 14.4% of low birth weight births among African-Americans were attributable to smoking. Conclusions. Although the public health impact of maternal cigarette smoking on infant birth weight was twice as high for non-Hispanic whites as for African-Americans in this low-income population, smoking cessation by all low-income pregnant women would result in significant improvements in infant health and well-being.

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DePalma, Ralph T., Kenneth J. Leveno, Mary Ann Kelly, M. Lynne Sherman, and Thomas J. Carmody. "Birth weight threshold for postponing preterm birth." American Journal of Obstetrics and Gynecology 167, no. 4 (October 1992): 1145–49. http://dx.doi.org/10.1016/s0002-9378(12)80058-5.

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Montes-Núñez, Sonia, Dora Virginia Chávez-Corral, Sandra Reza-López, Luz Helena Sanin, Brenda Acosta- Maldonado, and Margarita Levario-Carrillo. "Birth weight in children with birth defects." Birth Defects Research Part A: Clinical and Molecular Teratology 91, no. 2 (January 20, 2011): 102–7. http://dx.doi.org/10.1002/bdra.20751.

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Shin, Son-Moon, Young-Pyo Chang, Eun-Sil Lee, Young-Ah Lee, Dong-Woo Son, Min-Hee Kim, and Young-Ryoon Choi. "Low Birth Weight, Very Low Birth Weight Rates and Gestational Age-Specific Birth Weight Distribution of Korean Newborn Infants." Journal of Korean Medical Science 20, no. 2 (2005): 182. http://dx.doi.org/10.3346/jkms.2005.20.2.182.

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Norris, Tom, Sarah E. Seaton, Brad N. Manktelow, Philip N. Baker, Jennifer J. Kurinczuk, David Field, Elizabeth S. Draper, and Lucy K. Smith. "Updated birth weight centiles for England and Wales." Archives of Disease in Childhood - Fetal and Neonatal Edition 103, no. 6 (December 7, 2017): F577—F582. http://dx.doi.org/10.1136/archdischild-2017-313452.

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ObjectivesConstruct updated birth weight-for-gestational age centile charts for use in the UK and compare these to the currently used UK-WHO charts.DesignSecondary analysis of national birth data.ParticipantsCentiles were constructed using 1 269 403 singleton births occurring in England and Wales in 2013–2014 as part of the MBRRACE-UK national perinatal surveillance programme. These were then validated using 642 737 singleton births occurring in England and Wales in 2015.Main outcome measuresSex-specific birth weight-for-gestational age centiles. Centiles were created using the lambda-mu-sigma method via the GAMLSS package in R. This method transforms the skewed birth weight distribution to approximate a normal distribution, allowing any birth weight centile to be produced.ResultsThe new centiles performed well in the validation sample, with the observed and expected proportion of births below a given centile in agreement. Overall, driven by the predominance of term births, the UK-WHO charts classify a smaller proportion of infants as below a given centile. For example, the UK-WHO estimates classified only 1.32% (8035/606 430) of term infants born in 2015 as below the second centile, compared with 1.97% (11 975/606 430) using the new MBRRACE-UK centiles. At the earliest gestational ages, however, the opposite is observed, with the UK-WHO classifying a larger proportion of infants as below a given centile, particularly at the lower end of the birthweight distribution.ConclusionsWe have constructed and validated updated birth weight-for-gestational age centiles using a contemporary sample of births occurring in England and Wales. The benefits of these updated centiles will be first to assist the national surveillance of perinatal mortality programme by improving the identification of the proportion of stillbirths and neonatal deaths affected by intrauterine growth restriction and, second, to aid clinicians by more accurately identifying babies who require increased monitoring in the period immediately following birth.

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Yaylak, Erdal, Hikmet Orhan, and Alim Daşkaya. "Some Environmental Factors Affecting Birth Weight, Weaning Weight and Daily Live Weight Gain of Holstein Calves." Turkish Journal of Agriculture - Food Science and Technology 3, no. 7 (July 11, 2015): 617. http://dx.doi.org/10.24925/turjaf.v3i7.617-622.392.

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The present study was conducted to determine some environmental factors affecting birth weight, weaning weight and daily live weight gain of Holstein calves of a livestock facility in Izmir, Turkey. The data on 2091 calves born between the years 2005-2010 were used to assess the relevant parameters. Effects of calving year, calving month, calf gender and the interaction between calving year and calving month on calves’ birth weights were highly significant. The overall mean of birth weights was 39.6±0.15 kg. In addition, effects of calving year, calving month, gender, birth weight, weaning age, calving year x calving month, calving year x gender and calving year x calving month x gender interactions on weaning weight (WW) and daily live weight gain (DLWG) were highly significant. The overall means of WW and DLWG were respectively found to be 79.7±0.20 kg and 525±2.5 g. A one kilogram increase in birth weight resulted in an increase of 0.89 kg in weaning weight and a decrease of 1.26 g in daily live weight gain. Prenatal temperature-humidity index (THI) affected birth weight of calves (R2=0.67). Increasing THI from 50 to 80 resulted in 3.8 kg decrease in birth weight.

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BLANCHARD, RAY, and LEE ELLIS. "BIRTH WEIGHT, SEXUAL ORIENTATION AND THE SEX OF PRECEDING SIBLINGS." Journal of Biosocial Science 33, no. 3 (July 2001): 451–67. http://dx.doi.org/10.1017/s0021932001004515.

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This study’s first objective was to compare the mean birth weights of homosexual and heterosexual men and women. Its second objective was to investigate whether prior male and female fetuses have different effects on the birth weight of subsequent fetuses. The subjects were 3229 adult men and women (the probands), who weighed at least 2500 g at birth, and whose mothers knew the sex of the child (or fetus) for each pregnancy prior to the proband. Information on birth weight, maternal gravidity and other demographic variables was reported on questionnaires completed by the probands’ mothers. The results confirmed earlier reports that boys with older brothers weigh less at birth than boys with older sisters, but they did not confirm reports that girls with older brothers weigh less than girls with older sisters. The results did not show across-the-board differences in the mean birth weights of homosexual versus heterosexual women or homosexual versus heterosexual men. However, the homosexual males with older brothers weighed about 170 g less at birth than the heterosexual males with older brothers. It is suggested that this pattern of results may reflect a maternal immune response to Y-linked minor histocompatibility antigens (H–Y antigens). According to this hypothesis, when the maternal immune response is mild, it produces only a slightly reduced birth weight, but when it is stronger, it produces a markedly reduced birth weight as well as an increased probability of homosexuality.

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Boruah, Dibyajyoti, K. Mohanlal, Ajay Malik, Arijit Sen, and Prabal Deb. "Correlations of morphometric placental microvessels parameters with birth weight." Annals of Advance Medical Sciecnes 1, no. 1 (December 9, 2017): A6—A15. http://dx.doi.org/10.21276/aams.1756.

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Fuster, Vicente, and Carlota Santos. "Determinants of birth weight in Portugal: 1988 to 2011." Anthropologischer Anzeiger 73, no. 1 (April 1, 2016): 33–43. http://dx.doi.org/10.1127/anthranz/2015/0541.

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Rajanikumari, J., and T. Venkateswara Rao. "Birth weight and survival in relation to natural selection." Anthropologischer Anzeiger 45, no. 2 (July 1, 1987): 175–79. http://dx.doi.org/10.1127/anthranz/45/1987/175.

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Adeniran, Abiodun S., Kikelomo T. Adesina, Grace G. Ezeoke, Adegboyega A. Fawole, Abiodun P. Aboyeji, and Munirdeen A. Ijaiya. "Relationship between placental weight, birth weight, maternal biosocial characteristics and placental-to-birth-weight ratio." Medical Journal of Zambia 47, no. 4 (February 24, 2021): 282–88. http://dx.doi.org/10.55320/mjz.47.4.718.

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Background: Although routine measurements are taken at birth, the derivable benefits from their interpretations have not been maximized in the care of the newborn. Aim: To determine the relationship between placental weight (PW) at birth, maternal biosocial characteristics, birth weight (BW) and placental-to-birth-weight ratio (PBWR) on immediate and follow up care of the newborn. Methods: A cross-sectional study involving parturient who had singleton deliveries at ≥32weeks gestation with comparison of maternal biosocial parameters, PW, BW and PBWR. Deliveries <32weeks gestation, multiple gestation and incomplete placenta were excluded from the study. Data was retrieved from the institutional birth registry; data management included determination and comparison of mean values and ratio of individual parameters using SPSS version 21.0. Result: Among the 8645 participants, the mean PW was 589.2±146g and it increased with maternal age. The mean BW increased with maternal age with a decline from 35years, PBWR declined until age 30years with a rise afterwards. The mean PW increased with parity, the BW increased till the fourth delivery when it began to decline but PBWR did not follow a regular pattern with parity. The PW and BW increased with gestational age while PBWR increased till 36th week, declined from 37th to 42nd week with a rise from 43rd week. The mean PW and BW increased with maternal educational status while booked participants had higher PW and BW but lower PBWR compared to unbooked women. Conclusion: The placental weight is a central index for the interpretation of measurements at birth, detection of associated abnormalities and suggestion for neonatal follow-up.

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Maloni, Judith A., Greg R. Alexander, Mark D. Schluchter, Dinesh M. Shah, and Seunghee Park. "Antepartum Bed Rest: Maternal Weight Change and Infant Birth Weight." Biological Research For Nursing 5, no. 3 (January 2004): 177–86. http://dx.doi.org/10.1177/1099800403260307.

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Despite lack of evidence for effectiveness, obstetricians in the United States prescribe antepartum bed rest for more than 700,000 women per year. However, in nonpregnant samples, bed rest treatment produces weight loss. This study assessed maternal weight change (gain) during antepartum hospitalization for bed rest treatment; compared appropriateness of infant birth weights for gestational age, race, and gender; and determined whether maternal weight change predicted infant birth weight. The convenience sample for this longitudinal study consisted of 141 women with high-risk pregnancies who were treated with hospital bed rest. Weekly rate of pregnancy weight change by body mass index was compared with Institute of Medicine recommendations for rate of pregnancy weight gain. Infant birth weight was compared with current US infant birth weights for matching gestational age, gender, and race. Weekly antepartum weight change was significantly lower than Institute of Medicine recommendations (P < 0.001). Infant birth weights were also significantly lower than the national mean when matched for each infant’s gestational age, race, and gender ( P < 0.001). Maternal weight change predicted infant birth weight ( P = 0.05). Bed rest treatment is ineffective for improving pregnancy weight gain. Lower infant birth weights across all gestational ages suggest that maternal weight loss during bed rest may be associated with an increased risk of fetal growth restriction. A randomized trial comparing women with high-risk pregnancies who are ambulatory with those on bed rest is needed to determine whether bed rest treatment, underlying maternal-fetal disease, or both influence inadequate maternal weight gain and poor intrauterine growth.

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Munivenkatappa, Swetha, and Srinivas M. Govindaraj. "Maternal periodontitis and its influence on duration of gestation and fetal birth weight." International Journal of Reproduction, Contraception, Obstetrics and Gynecology 8, no. 8 (July 26, 2019): 3194. http://dx.doi.org/10.18203/2320-1770.ijrcog20193534.

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Background: There has been a lot of interest in knowing the effects of oral health on adverse pregnancy outcomes like preterm births and low birth weight. Studies have yielded contradicting results and there are lot of confounding issues that blur the picture. Aim of the study is to determine the prevalence of periodontitis is pregnant population and determine the effect of periodontitis on preterm births and low birth weight.Methods: This was a cross sectional study of singleton pregnant women attending ante-natal checkups with oral interview and clinical examination. Oral examination was done at the beginning of third trimester of pregnancy. They were followed up to delivery to note the duration of gestation, birth weight of babies.Results: The prevalence of periodontitis was 22% with 90.9% having mild and 9.1% having moderate periodontitis. Maternal education (high school and above) was associated with lower prevalence of periodontitis (p=0.042). There was no difference in the birth weights between the group with and without periodontitis (2.9±0.41kgs vs 2.74±0.36kgs, p=0.11). The incidence of low birth weights was also similar (p=0.22). The average gestational age was slightly less in the group with periodontitis (38 weeks 3 days vs 37 weeks 5 days) but the rates of preterm births were similar between the two groups (p=0.61).Conclusions: Mild/moderate periodontitis does not appear to have a significant effect on pre-term births and low birth weight. Maternal education and awareness seem to mitigate development of periodontitis and adverse pregnancy outcomes.

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Shenkin, S. D., M. G. Zhang, G. Der, S. Mathur, T. H. Mina, and R. M. Reynolds. "Validity of recalled v. recorded birth weight: a systematic review and meta-analysis." Journal of Developmental Origins of Health and Disease 8, no. 2 (October 25, 2016): 137–48. http://dx.doi.org/10.1017/s2040174416000581.

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Low birth weight is associated with adverse health outcomes. If birth weight records are not available, studies may use recalled birth weight. It is unclear whether this is reliable. We performed a systematic review and meta-analysis of studies comparing recalled with recorded birth weights. We followed the Meta-Analyses of Observational Studies in Epidemiology (MOOSE) statement and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched MEDLINE, EMBASE and Cumulative Index to Nursing and Allied Health Literature (CINAHL) to May 2015. We included studies that reported recalled birth weight and recorded birth weight. We excluded studies investigating a clinical population. Two reviewers independently reviewed citations, extracted data, assessed risk of bias. Data were pooled in a random effects meta-analysis for correlation and mean difference. In total, 40 studies were eligible for qualitative synthesis (n=78,997 births from 78,196 parents). Agreement between recalled and recorded birth weight was high: pooled estimate of correlation in 23 samples from 19 studies (n=7406) was 0.90 [95% confidence interval (CI) 0.87–0.93]. The difference between recalled and recorded birth weight in 29 samples from 26 studies (n=29,293) was small [range −86–129 g; random effects estimate 1.4 g (95% CI −4.0–6.9 g)]. Studies were heterogeneous, with no evidence for an effect of time since birth, person reporting, recall bias, or birth order. In post-hoc subgroup analysis, recall was higher than recorded birth weight by 80 g (95% CI 57–103 g) in low and middle income countries. In conclusion, there is high agreement between recalled and recorded birth weight. If birth weight is recalled, it is suitable for use in epidemiological studies, at least in high income countries.

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ZAIDI, KASHIF ABBAS, NIGHAT AIJAZ, and NASR-UL HUDA. "LOW BIRTH WEIGHT BABIES;." Professional Medical Journal 20, no. 02 (February 7, 2013): 193–98. http://dx.doi.org/10.29309/tpmj/2013.20.02.633.

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Objective: To determine the spectrum of problems in LBW neonates at Secondary care level and their immediate outcome.Design: Descriptive Study. Place & Duration of Study: Agha Khan Hospital for Women and Children, Kareemabad and Agha KhanHospital for Women and Children , Kharadar, from January 2009 till December 2009. Results & Conclusions: Of the 4500 babies born inAgha Khan secondary hospitals, 429 were Low Birth Weight and 191 were admitted to the nursery. The ratio of males to females was0.86:1.0 (199 males and 230 females). Approximately 41% of the babies were less than 2 kgs and Preterm babies made up 20.9 % oftotal low birth weight. Of the 191 babies, 99 (51.8%) had hyperbilirubinemia ; 16(8.3%) had respiratory distress syndrome of thenewborn; 16(8.3%) had vomiting and they were observed for necrotizing enterocolitis; 21(10.9%) had presumed sepsis; 12 (6.2%) hadhypocalcemia; 11(5.7%) had hypoglycemia 08 (4.1%) had Meconium Aspiration Syndrome;; 05 (2.4%) had thrombocytopenia; and 02(1.04%) had hyperviscosity with hematocrit of more than 65%. Common causes of morbidity in LBW babies are jaundice, sepsis,Respiratory distress, hypoglycemia and hypothermia. Introduction of standard management guidelines aid in reduction of morbidity. Withcareful selection of cases and predetermined criteria for transfer to the tertiary level nursery, it is possible to care for a vast majority of thenewborns in nurseries at secondary level .

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