Temperature and Term Low Birth Weight in California

Basu, Rupa; Rau, Reina; Pearson, Dharshani; Malig, Brian

doi:10.1289/isesisee.2018.p02.0100

Cited by 11 publications

(22 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The curve was the same as the previous study [13,26]. As LBW newborns may be premature with other risk factors [27], we restricted our study population to term newborns, therefore the etiology of LBW was intrauterine growth restriction [18]. The prevalence of term LBW in our study was 1.5%, which was lower than 2% reported by the other study [28], which suggesting there was a good perinatal care system in Xi'an, China.…”

Section: Resultssupporting

confidence: 54%

“…Therefore, our research could only re ect the changing trend of BW, LBW and macrosomia when the maternal age ranged from 20 to 40 years old. In order to ensure the accuracy of our research results, we limited the subjects to full term singleton live birth, which could eliminate some potential in uencing factors [27], such as serious pregnancy complications. Although the large sample size might increase potential confounding, we could estimate the relationships between maternal age and BW, LBW and macrosomia in detail with generalized additive model and two-piece wise linear regression model.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

See 1 more Smart Citation

Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

Wang

Yang

Shang

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight.Methods: Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, neonatal birth date, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia.Results: The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age was less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR= 0.917, 95%CI: 0.903, 0.932 when maternal age was younger than 27 years old; OR= 0.965, 95%CI: 0.955, 0.976 when maternal age ranged from 27 to 36 years old), then increased when maternal age was older than 36 years old (OR=1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 when maternal age was younger than 24 years old; OR=1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR=1.029, 95%CI: 1.012, 1.046 when maternal age was older than 33 years old).Conclusions: For women of childbearing age (20-40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

show abstract

Section: Resultssupporting

confidence: 54%

Section: Strengths and Limitationsmentioning

confidence: 99%

Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

Wang

Yang

Shang

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, between 2000 and 2016, the number of people exposed to heat waves increased by around 125 million (World Health Organization 2018b). However, to date, evidence remains limited (Kloog et al 2015;Zhang, Yu, and Wang 2017;Basu et al 2018), and that which is available is somewhat mixed. For example, a recent analysis of data from Korea found no significant temperature effect on birth outcomes (Cho 2020).…”

Section: Extreme Temperature and Birth Outcomesmentioning

confidence: 99%

“…One, a paper that analyzed 220,572 singleton births for the years 2002 to 2008 from 12 US sites, found that whole-pregnancy cold or hot temperature increased term low birth weight risk (Ha et al 2017). A second paper, conducted among 43,629 full-term but low birth weight babies and 2,032,601 normal-weight babies in California for the period 1999 to 2013, found that higher long-term apparent temperature exposure was associated with term low birth weight (Basu et al 2018). The third reviewed paper, conducted among births in Massachusetts from 2000 through December 2008 (Kloog et al 2015), showed decreased birth weight with increased air temperature.…”

Section: Extreme Temperature and Birth Outcomesmentioning

confidence: 99%

“…Ambient environmental conditions, including both air pollution and temperature, have been associated with adverse birth outcomes in a number of settings, though findings for temperature remain limited (Shah and Balkhair 2011;Stieb et al 2012;Klepac et al 2018;Melody et al 2019;Cho 2020;Kloog et al 2015;Zhang, Yu, and Wang 2017). There is some suggestive evidence that lower socioeconomic status groups, defined by occupation or education, might be distinctly vulnerable to the ill effects of air pollution or extreme temperatures, but there is a need for additional studies to consider possible mitigation of negative effects by maternal education (see Basu et al (2018) and Son et al (2019) for contradictory findings on temperature and birth weight; for a review of findings on pollution and low birth weight, see Westergaard et al (2017)). Babies of less-educated mothers may be more vulnerable compared to those of moreeducated mothers to the same air pollution or temperature conditions if their mothers lack access to living, work, transportation, and leisure spaces with indoor heating and cooling systems or air filtration systems, or if they lack knowledge of or resources for mitigation strategies and practices.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Same Environment, Stratified Impacts? Air Pollution, Extreme Temperatures, and Birth Weight in Southeast China

Behrman

Hannum

et al. 2021

SSRN Journal

View full text Add to dashboard Cite

Ambient air pollution and extreme temperatures have been associated in a number of settings with adverse birth outcomes. However, some newborns may be more vulnerable than others. First, the pathway from ambient conditions to adverse birth outcomes could vary according to indicators of socioeconomic status such as maternal education. For example, less-educated mothers may be more vulnerable than more-educated mothers if they lack access to living, work, transportation, and leisure spaces with indoor air filtration and temperature regulation, or if they lack knowledge of or resources for mitigation strategies. Second, overall effect modifications associated with maternal education may mask another source of heterogeneity: babies' underlying innate health. Protective effects of maternal education may be more pronounced for the most physically vulnerable babies.Linking 54,828 singleton live birth records from a district in Guangzhou, China to ambient air pollution (PM10 and a composite measure) and extreme temperature data, we test whether, overall, maternal education is an "effect modifier" in the relationships between ambient air pollution, extreme temperature, and birth weight. Via conditional quantile regressions, we then test for effect heterogeneity according to the underlying physical vulnerability of babies-those further to the left in the conditional distribution of birth weight-after conditioning on other confounders. Results show that the protection associated with a college-educated mother with respect to pollution and extreme heat is substantial: up to 0.31 standard deviations of birth weight. Importantly, this protection is amplified under more extreme ambient conditions and for physically vulnerable infants, after conditioning on other confounders.

show abstract

Comprehensive analysis of the association of seasonal variability with maternal and neonatal nutrition in lowland Nepal

Saville

Cortina‐Borja

Stavola

et al. 2021

Public Health Nutr.

View full text Add to dashboard Cite

Objective: to provide a comprehensive seasonal analysis of pregnant mothers’ eating behaviour and maternal/newborn nutritional status in an undernourished population from lowland rural Nepal, where weather patterns, agricultural labour, food availability and disease prevalence vary seasonally. Design: Secondary analysis of cluster-randomized Low Birth Weight South Asia Trial data, applying cosinor analysis to predict seasonal patterns. Outcomes: maternal mid-upper arm circumference (MUAC), body mass index (BMI), dietary diversity, meals per day, eating down and food aversion in pregnancy (≥31 weeks’ gestation), and neonatal z-scores of length- (LAZ), weight- (WAZ) and head circumference-for-age (HCAZ) and weight-for-length (WLZ). Setting: rural areas of Dhanusha and Mahottari districts in plains Nepal Participants: 2831 mothers aged 13 to 50 and 3330 neonates. Results: We found seasonal patterns in newborn anthropometry and pregnant mothers’ anthropometry, meal frequency, dietary diversity, food aversion, and eating down. Seasonality in intake varied by food group. Offspring anthropometry broadly tracked mothers’. Annual amplitudes in mothers’ MUAC and BMI were 0.27kg/m2 and 0.22cm, with peaks post-harvest and nadirs in October when food insecurity peaked. Annual LAZ, WAZ and WLZ amplitudes were 0.125, 0.159 and 0.411 z-scores. Neonates were shortest but least thin (higher WLZ) in winter (December/January). In the hot season, WLZ was lowest (May/June) while LAZ was highest (March and August). HCAZ did not vary significantly. Food aversion and eating down peaked pre-monsoon (April/May). Conclusions: Our analyses revealed complex seasonal patterns in maternal nutrition and neonatal size. Seasonality should be accounted for when designing and evaluating public heath nutrition interventions.

show abstract

Temperature and Term Low Birth Weight in California

Cited by 11 publications

References 0 publications

Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

Same Environment, Stratified Impacts? Air Pollution, Extreme Temperatures, and Birth Weight in Southeast China

Comprehensive analysis of the association of seasonal variability with maternal and neonatal nutrition in lowland Nepal

Contact Info

Product

Resources

About