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OBJECTIVES: To examine the racial differences in the population attributable fraction (PAF) of prepregnancy obesity and excessive gestational weight gain to large-for-gestational-age (LGA) neonates. METHODS: We conducted a population-based retrospective cohort study among all women who had prenatal screening and had a singleton live birth in a hospital (1 April 2016-31 March 2017) using data from Ontario birth registry in Canada. We used multivariable log-binomial regression models to estimate the PAF and 95% confidence interval (CI) of LGA neonates due to prepregnancy obesity and excessive gestational weight gain. All models were stratified by race (White, Asian, and Black). RESULTS: Of the 74,402 eligible women, the prevalence of prepregnancy obesity, excessive gestational weight gain, and LGA neonate was 21.1%, 60.0%, and 11.3%, respectively, for Whites; 9.3%, 45.9%, and 5.4%, respectively, for Asians; and 28.6%, 52.4%, and 7.9%, respectively, for Blacks. The association of prepregnancy obesity was greater than that of excessive gestational weight gain on LGA for all racial groups. Excessive gestational weight gain contributed more than prepregnancy obesity in Whites (PAF 32.9%, 95% CI [30.3-35.5%] and 16.6%, 95% CI [15.3-17.9%], respectively, for excessive gestational weight gain and prepregnancy obesity) and in Asians (PAF 32.1%, 95% CI [27.2-36.7%] and 11.8%, 95% CI [9.5-14.1%], respectively, for excessive gestational weight gain and prepregnancy obesity). Prepregnancy obesity (PAF 22.8%, 95% CI [17.1-28.1%]) and excessive gestational weight gain (PAF 20.1%, 95% CI [4.7-33.0%]) contributed to LGA neonates almost the same in Blacks. CONCLUSIONS: Excessive gestational weight gain contributed more to LGA neonates than prepregnancy obesity in Whites and Asians, while there was no difference between excessive gestational weight gain and prepregnancy obesity in their contributions to the LGA neonates in Blacks. The differences are mostly driven by the differential prevalence of the two risk factors across racial groups.

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OBJECTIVES: To examine the performance of different fetal growth charts in the prediction of large-for-gestational age (LGA) and associated neonatal morbidity at term in a multiethnic, obese population. METHODS: This was a retrospective cohort study of 253 non-anomalous, singleton, term pregnancies that underwent serial third-trimester ultrasound scans due to maternal body mass index ≥ 35 kg/m2 . We compared the performance of the Hadlock, Gestation Related Optimal Weight (GROW), INTERGROWTH-21st (IG-21), World Health Organization (WHO) and Fetal Medicine Foundation (FMF) fetal growth reference charts in the prediction of LGA at birth, defined as birth weight > 90th percentile, and neonatal morbidity, defined as a composite of neonatal intensive care unit admission or 5-min Apgar score < 7. RESULTS: In the study population, 53 (20.9%) infants were born LGA, 27 (10.7%) experienced neonatal morbidity and nine (3.6%) were LGA with associated neonatal morbidity. The Hadlock and GROW charts showed similar performance in predicting LGA, with sensitivity of 66.0% for both and specificity of 82.5% and 83.5%, respectively. The positive likelihood ratios (LR+) were 3.77 (95% CI, 2.64-5.40) and 4.00 (95% CI, 2.77-5.78), respectively. The IG-21, WHO and FMF charts performed similarly and had higher sensitivity of about 85%, with specificity between 66% and 72%. LR+ was 2.74 (95% CI, 2.16-3.47), 2.50 (95% CI, 2.00-3.12) and 3.03 (95% CI, 2.36-3.89), respectively. All charts had high sensitivity for predicting neonatal morbidity associated with LGA, with LR+ ranging between 2.35 and 3.61. CONCLUSIONS: In our multiethnic, obese population, all fetal growth charts performed well in predicting LGA and associated neonatal morbidity. However, the choice of fetal reference chart is likely to affect intervention rates. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

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Both low birthweight (<2500 g; LBW) and macrosomia (>4000 g) are considered adverse birth outcomes and are associated with later poor health conditions, yet the social determinants of macrosomia are understudied. In this study, we explore patterning of LBW, normal birthweight, and macrosomia by race/ethnicity and nativity. We examined data from all live births between 1999 and 2014 in New Jersey with a non-missing, plausible value of birthweight (n = 1,609,516). We compared the risk for LBW and macrosomia among non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian mothers, and between the US- and native-born. For Hispanics and Asians, we also examined differences by country of origin. The racial/ethnic patterns for macrosomia mirrored those of LBW, suggesting that the factors underlying LBW shift birthweight distributions. For example, non-Hispanic White mothers had the lowest risk for LBW and the highest risk for macrosomia. Nativity patterns differed by subgroup, however, with unique risks for macrosomia among some origin groups, such as foreign-born Cubans. The racial/ethnic and nativity patterns of macrosomia do not completely mirror those of LBW, suggesting some distinct social risk factors for macrosomia. Our findings raise questions about whether and how racial/ethnic and nativity patterning in both low and excess birthweight is retained in later conditions, such as childhood obesity.

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OBJECTIVE: To confirm the previously reported increased risk of leukemia among macrosomic children (those with birth weight >4 kg). METHODS: Birth certificates of Arizona, Illinois, and Kentucky children diagnosed as having acute lymphoblastic leukemia (ALL) before age 5 years were matched with birth certificates from leukemia-free children of the same sex, race, and ethnicity who were born in the same county on or about the same day. Odds ratios (ORs) for ALL among children of low (<2.5 kg) or high (>4 kg) birth weight were calculated by conditional logistic regression. RESULTS: Children with high birth weight had an elevated risk of ALL in the first 5 years of life (OR 1.28, 95% confidence interval [CI] 1.01-1.61). The excess risk was confined to non-Hispanic whites (OR 1.77, 95% CI 1.27-2.48), both boys (OR 1.57, 95% CI 1.01-2.45) and girls (OR 2.10, 95% CI 1.26-3.52). CONCLUSIONS: This study confirms the association between high birth weight and ALL previously reported by other studies in children of European ancestry. The literature on maternal risk factors for both macrosomia and ALL is reviewed, with maternal overnutrition emerging as a plausible risk factor for both outcomes.

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BACKGROUND AND OBJECTIVE: Gestational diabetes (GDM) occurs more often in women from certain ethnic groups and is also associated with fetal macrosomia. In this study, we investigated the ability of a gestational diabetes screening test (GDS), the 2 h 75 g-Oral Glucose Tolerance Test (OGTT), and glycated hemoglobin (HbA1c) in predicting postpartum dysglycemia and fetal macrosomia in women of Caucasian, Filipino, Chinese and South-Asian descent. METHODS: 848 women diagnosed with carbohydrate intolerance in pregnancy who completed a 2 h 75 g- OGTT within 6 months postpartum, were included in the study. Receiver Operating Characteristic curve analysis was used to test the ability of antepartum GDS, HbA1c and OGTT in predicting postpartum hyperglycemia, type 2 diabetes (T2D) and neonatal macrosomia (birth weight >4000 g). RESULTS: 20.2% had postpartum hyperglycemia while 3.8% had T2D. Those with postpartum dysglycemia were more likely to be non-Caucasian (South-Asian > Filipino > Chinese), have higher antepartum glucose values, require insulin during pregnancy and have cesarean births. Of HbA1c and the antepartum glucose values, a fasting glucose of ≥5.25 mmol/L was predictive of fetal macrosomia in Caucasians. 1 h glucose of ≥11.05 mmol/L was predictive of postpartum hyperglycemia, while 2 h glucose of ≥9.75 mmol/L was predictive of T2D; ethnicity influenced the predictive ability of these tests. CONCLUSIONS: Ethnicity influences the ability of antepartum glucose and HbA1c to predict the risk of macrosomia and postpartum dysglycemia. This information will help detect those most at risk of T2D.

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INTRODUCTION: Although other studies have found evidence for perinatal health disparities among Pacific Islanders in other regions, no studies have evaluated racial/ethnic disparities in adverse perinatal health outcomes in the small US island territory of the Commonwealth of the Northern Mariana Islands (CNMI). METHODS: We used retrospective cohort data on 8,427 singleton births from 2007 to 2014 at the Commonwealth Healthcare Corporation (CHCC), the only hospital in the CNMI. We used multivariate logistic regression to estimate risk for preterm birth (<37 weeks) and macrosomia (>4,000 g) among the racial/ethnic groups in the CNMI. RESULTS: Indigenous CNMI mothers (Chamorros and Carolinians, hereinafter Chamorro/Carolinian) and other Pacific Islander mothers were significantly more likely to have a preterm birth than Chinese mothers (adjusted odds ratio [AOR] = 2.7; 95% confidence interval [CI], 2.0-3.6 for Chamorro/Carolinians and AOR = 2.9; 95% CI, 2.1-4.1 for other Pacific Islanders). Additionally, Chamorro/Carolinian mothers and other Pacific Islander mothers were also significantly more likely to deliver babies with macrosomia (AOR = 2.4; 95% CI, 1.7-3.5 and 2.3; 95% CI 1.4-3.6 respectively) than Filipino mothers. CONCLUSION: Although underlying causes for these disparities are still unknown, these findings add to the limited knowledge on maternal and neonatal health among Pacific Islanders and provide support for further research and intervention development to aid in reducing racial/ethnic disparities of perinatal health in the CNMI.

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OBJECTIVE: Birth weight is an indicator of newborn health and a strong predictor of health outcomes in later life. Significant variation in diet during pregnancy between ethnic groups in high-income countries provides an ideal opportunity to investigate the influence of maternal diet on birth weight. SETTING: Four multiethnic birth cohorts based in Canada (the NutriGen Alliance). PARTICIPANTS: 3997 full-term mother-infant pairs of diverse ethnic groups who had principal component analysis-derived diet pattern scores-plant-based, Western and health-conscious-and birth weight data. RESULTS: No associations were identified between the Western and health-conscious diet patterns and birth weight; however, the plant-based dietary pattern was inversely associated with birth weight (ß=-67.6 g per 1-unit increase; P<0.001), and an interaction with non-white ethnicity and birth weight was observed. Ethnically stratified analyses demonstrated that among white Europeans, maternal consumption of a plant-based diet associated with lower birth weight (ß=-65.9 g per 1-unit increase; P<0.001), increased risk of small-for-gestational age (SGA; OR=1.46; 95% CI 1.08 to 1.54;P=0.005) and reduced risk of large-for-gestational age (LGA; OR=0.71; 95% CI 0.53 to 0.95;P=0.02). Among South Asians, maternal consumption of a plant-based diet associated with a higher birth weight (ß=+40.5 g per 1-unit increase; P=0.01), partially explained by cooked vegetable consumption. CONCLUSIONS: Maternal consumption of a plant-based diet during pregnancy is associated with birth weight. Among white Europeans, a plant-based diet is associated with lower birth weight, reduced odds of an infant born LGA and increased odds of SGA, whereas among South Asians living in Canada, a plant-based diet is associated with increased birth weight.

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OBJECTIVES: The Republic of Korea (Korea) has experienced a steady increase in the number of births from immigrant women over the last 20 years. However, little is known about the birth outcomes of immigrant women in Korea. This study compared Korean birth data from immigrant and native women who married native men, and explored the factors that affected birth outcomes among immigrant women. DESIGN: Observational cross-sectional study. SETTING: Nationwide registry-based study in Korea. PARTICIPANTS: A total of 70 258 records from immigrant women and 1700 976 records from native women were examined using the National Birth Registration Database, from 2010 to 2013. INDEPENDENT VARIABLE: Native Korean women and immigrant women who married native men. OUTCOMES: Proportion of preterm births, post-term births, low birth weights and macrosomia. RESULTS: Adjusted ORs (aOR) were calculated for the adverse birth outcomes, and subgroup analyses were performed according to parity and mothers from three Asian countries (China, Vietnam, the Philippines). Multivariate logistic regression analyses were also conducted to evaluate the association of these factors with birth outcomes among immigrant women. Immigrant women had higher OR of post-term births (aOR 1.62; 95% CI 1.44 to 1.83) and low birth weights (aOR 1.17; CI 1.12 to 1.22). Mothers from the Philippines had higher OR of preterm births (aOR 1.26; CI 1.12 to 1.52) and Chinese mothers had higher OR of macrosomia (aOR 1.55; CI 1.44 to 1.66). The OR of post-term births and low birth weights was significantly higher in the first pregnancies of immigrant women. CONCLUSIONS: This study has demonstrated higher proportions of adverse birth outcomes among immigrant women who married Korean men, compared with native women in Korea. Policies reducing the gap in birth outcomes between native and immigrant women are needed.

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Background: A small number of studies have used a natural experiment approach to examine the health impacts of increased economic resources stemming from Native American-owned casinos. We build on this work by examining whether casinos are associated with obesity-related health in utero. Methods: We examined whether casino openings or expansion (as proxy for increased economic resources) are associated with a decreased likelihood of infants being born large-for-gestational-age (LGA), an important risk factor for childhood overweight/obesity. We used repeated cross-sectional data from California birth records (1987-2011) to assess the prevalence of LGA births among Native Americans (n = 21 011). Using zip code fixed-effect regression models, we compared how prevalence of LGA births changed in association with casino openings or expansions, while controlling for secular trends through the inclusion of a comparison group of Native American newborns in zip codes that were eligible to open or expand casinos, but did not do so. In sensitivity analyses, we evaluated whether there was any change in small-for-gestational-age births (SGA). Results: Average prevalence of LGA births over the period was 11%. Every one slot machine per capita increase was associated with a 0.13 percentage point decrease (95% confidence interval: -0.25, -0.01) in the prevalence of LGA births but was not associated with SGA prevalence. Conclusions: Casino expansion in California is associated with a lower prevalence of LGA births. Interpreted in combination with previous work showing that California casino expansions were associated with a lower body mass index (BMI) among schoolchildren, these results suggest that casinos are associated with improvement in a surrogate marker of excess adiposity. Further studies are needed to elucidate the mechanisms by which casinos might be associated with obesity-related health outcomes among Native Americans.

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BACKGROUND: Increasing recognition has been received regarding the proven and suggested links between multi-level environmental exposures on a broad scale (e.g., chemical, clinical, behavioral, physical and social) and health deficits originated from the critical window of development. However, such prospective human data are limited. In 2016, the National Institutes of Health funded 35 centers comprising 84 extant cohorts for the Environmental Influences on Child Health Outcomes (ECHO) pediatric cohorts program. The Pregnancy Environment and Lifestyle Study (PETALS) is one of the cohorts at the participating centers of Kaiser Permanente Northern California (KPNC). METHODS: PETALS was originally funded by the National Institute of Environmental Health Sciences to establish a longitudinal birth cohort of 3,350 mother-infant pairs and conduct a nested case-control study of 300 women with gestational diabetes (GDM) and 600 matched controls to investigate the associations between phenol exposures in first and second trimesters and GDM risk and the related outcome of infant macrosomia. This paper describes the prospective cohort design of PETALS, current research activities, and cohort profile of enrolled women who delivered as of February 2016. Women are enrolled from the KPNC membership. Fasting blood draw, urine collection, anthropometric measurements, and questionnaires on health history and lifestyle are completed at baseline and follow-up clinic visits with targeted windows of 10-13 and 16-19 weeks of gestation, respectively. Further, women's clinical and health assessments before and after the index pregnancy in addition to their children's birth outcomes and health information can be abstracted from electronic health records, allowing future follow-up. Study data could also be linked and extended to a myriad of additional observational data including environmental and area-level databases and census data. DISCUSSION: In this racially- and ethnically-diverse pregnancy cohort, the generated biospecimen and data repository will establish a comprehensive framework which may provide unique opportunities to address a multitude of research questions on the intrauterine environment and adverse pregnancy and birth outcomes in a representative multi-racial/ethnic population with generalizable findings.

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Objective: To investigate the influence of gestational weight gain (GWG) on the incidence of macrosomia, and to establish the reference ranges of GWG based on the incidence of macrosomia. Methods: A multicenter, cross-sectional study was conducted. Totally, 112 485 women were recruited from 39 hospitals in 14 provinces in China. Totally, 61 149 cases were eligible with singleton pregnancies and non-premature deliveries. The associations of pre-pregnancy body mass index (BMI), GWG, newborn gender and gestational diabetes with macrosomia were analyzed with logistic regression. The normal GWG ranges were calculated in all maternal BMI subgroups, based on the normal incidence of macrosomia was set as the range of 5.0% to 10.0%. Results: In this study, the incidence of macrosomia was 7.46% (4 563/611 149). The macrosociam was positive related with maternal height, delivery week, pre-pregnancy BMI, GWG, gestational diabetes, primipara, and male babies significantly (P<0.05), based on unadjusted and adjusted logestic regression. The normal range of GWG 20.0-25.0, 10.0-20.0, 0-10.0 and 0-5.0 kg in subgroups of underweight (pre-pregnancy BMI<18.5 kg/m(2)), normal (18.5-24.9 kg/m(2)), overweight (25.0-29.9 kg/m(2)) and obese (≥30.0 kg/m(2)), respectively. Conclusion: The reference range of GWG in China based on the incidence of macrosomia is established.

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Objectives Children born large for gestational age (LGA) are at risk of numerous adverse outcomes. While the racial/ethnic disparity in LGA risk has been studied among women with Gestational Diabetes Mellitus (GDM), the independent effect of race on LGA risk by maternal prepregnancy BMI is still unclear among women without GDM. Therefore, the objective of this study was to assess the association between maternal race/ethnicity and LGA among women without GDM. Methods This was a population-based cohort study of 2,842,278 singleton births using 2012 U.S. Natality data. We conducted bivariate and multivariate logistic regression analyses to assess the association between race and LGA. Due to effect modification by maternal prepregnancy BMI, we stratified our analysis by four BMI subgroups. Results The prevalence of LGA was similar across the different racial/ethnic groups at about 9%, but non-Hispanic Asian Americans had slightly higher prevalence of 11%. After controlling for potential confounders, minority women had higher odds of birthing LGA babies compared to non-Hispanic white women. Non-Hispanic Asian Americans had the highest odds of LGA babies across all BMI categories: underweight (aOR = 2.67; 95% CI: 2.24, 3.05); normal weight (aOR = 2.53; 2.43, 2.62); overweight (aOR = 2.45; 2.32, 2.60) and obese (aOR = 2.05; 1.91, 2.20). Conclusions for practice Racial/ethnic disparities exist in LGA odds, particularly among women with underweight or normal prepregnancy BMI. Most minorities had higher LGA odds than non-Hispanic white women regardless of prepregnancy BMI category. These racial/ethnic disparities should inform public health policies and interventions to address this problem.

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Context: Risk of obstetric complications increases linearly with rising maternal glycemia. Testing hemoglobin A1c (HbA1c) is an effective option to detect hyperglycemia, but its association with adverse pregnancy outcomes remains unclear. Emerging data sustain that an early HbA1c ≥5.9% could act as a pregnancy risk marker. Objective: To determine, in a multiethnic cohort, whether an early ≥5.9% HbA1c could be useful to identify women without diabetes mellitus at increased pregnancy risk. Design and Setting: A prospective study was conducted at Hospital del Mar, Barcelona, between April 2013 and September 2015. Patients and Intervention: A total of 1631 pregnant women had an HbA1c measurement added to their first antenatal blood tests and were screened for gestational diabetes mellitus at 24 to 28 weeks' gestation. Outcome Measures: Primary outcome was macrosomia. Secondary outcomes were preeclampsia, preterm birth, and cesarean section rate. Results: A total of 1228 pregnancies were included for outcome analysis. Women with HbA1c ≥5.9% (n = 48) showed a higher rate of macrosomia (16.7% vs 5.9%, P = 0.008) and a tendency toward a higher rate of preeclampsia (9.32% vs 3.9%, P = 0.092). There were no statistically significant differences in other pregnancy outcomes. After adjusting for potential confounders, an HbA1c ≥5.9% was independently associated with a 3-fold increased risk of macrosomia (95% confidence interval, 1.127 to 8.603, P = 0.028) and preeclampsia (95% confidence interval, 1.086 to 11.532, P = 0.036). Conclusions: In a multiethnic population, an early HbA1c ≥5.9% measurement identifies women at high risk for poorer pregnancy outcomes independently of gestational diabetes mellitus diagnosis later in pregnancy. Further studies are required to establish cutoff points adapted to each ethnic group and to assess whether early detection and treatment are of benefit.

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The delivery of a macrosomic infant is a relatively common situation. It can put mother and fetus at high risk. The main maternal complications are the increase in cesarean rates, postpartum hemorrhage and cervicovaginal traumatic lacerations. The main fetal complication is shoulder dystocia increasing the risk of brachial plexus. The objective was to identify risk factors and maternal-fetal complications associated with fetal macrosomia. Comparative retrospective study conducted at Kairouan University Hospital maternity unit in 2010. We compared a group of 820 cases of macrosomic infants to a control group of 800 cases of infants born in the same period of time. During the study period we collected clinical data of 820 macrosomic cases on a total of 7.495 deliveries, corresponding to a total incidence of 10.94%. Several factors predisposing to fetal macrosomia were highlighted: Maternal age> 35 years was present in 28.5% of cases; Maternal obesity was found in 45% of cases; A personal history of macrosomia was noted in 28,8% of cases; Prolonged pregnancies > 41 weeks of amenorrhoea was noted in 35.6% of cases; Multiparity was found in 47% of cases. Maternal complications were essentially postpartum hemorrhage: 71 cases and genital traumas: 24 cases. Perinatal complications were dominated by shoulder dystocia: 27 cases (3.3%). Traumatic postpartum complications were found in 11.6%.

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Ample evidence shows that, in many developed countries, immigrants have similar or better perinatal health outcomes than natives despite facing socioeconomic disadvantages in the host country ("healthy migrant paradox" -HMP). This scoping review aims to: (1) summarize the literature on perinatal health among immigrants and natives in Spain and (2) examine whether there is evidence of the HMP in a context of recent migration. A total of 25 articles published between 1998 and 2014 were reviewed. Overall, we found evidence of the HMP in low birthweight and to a lesser extent in preterm, though the patterns vary by origin, but not in macrosomia and post-term. The results are consistent across settings, levels of adjustment, and birth year. Policies should be oriented towards identifying the modifiable risk factors leading to a higher risk of macrosomia and post-term among immigrants.

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BACKGROUND: Cree births in Quebec are characterized by the highest reported prevalence of macrosomia (~35%) in the world. It is unclear whether Cree births are at greater elevated risk of perinatal and infant mortality than other First Nations relative to non-Aboriginal births in Quebec, and if macrosomia may be related. METHODS: This was a population-based retrospective birth cohort study using the linked birth-infant death database for singleton births to mothers from Cree (n = 5,340), other First Nations (n = 10,810) and non-Aboriginal (n = 229,960) communities in Quebec, 1996-2010. Community type was ascertained by residential postal code and municipality name. The primary outcomes were perinatal and infant mortality. RESULTS: Macrosomia (birth weight for gestational age >90th percentile) was substantially more frequent in Cree (38.0%) and other First Nations (21.9%) vs non-Aboriginal (9.4%) communities. Comparing Cree and other First Nations vs non-Aboriginal communities, perinatal mortality rates were 1.52 (95% confidence intervals 1.17, 1.98) and 1.34 (1.10, 1.64) times higher, and infant mortality rates 2.27 (1.71, 3.02) and 1.49 (1.16, 1.91) times higher, respectively. The risk elevations in perinatal and infant death in Cree communities attenuated after adjusting for maternal characteristics (age, education, marital status, parity), but became greater after further adjustment for birth weight (small, appropriate, or large for gestational age). CONCLUSIONS: Cree communities had greater risk elevations in perinatal and infant mortality than other First Nations relative to non-Aboriginal communities in Quebec. High prevalence of macrosomia did not explain the elevated risk of perinatal and infant mortality in Cree communities.

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Objectives To examine the relationships between prepregnancy diabetes mellitus (DM), gestational diabetes mellitus (GDM), and prepregnancy body mass index, with several adverse birth outcomes: preterm delivery (PTB), low birthweight (LBW), and macrosomia, comparing American Indians and Alaska Natives (AI/AN) with other race/ethnic groups. Methods The sample includes 5,193,386 singleton US first births from 2009-2013. Logistic regression is used to calculate adjusted odds ratios controlling for calendar year, maternal age, education, marital status, Kotelchuck prenatal care index, and child's sex. Results AI/AN have higher rates of diabetes than all other groups, and higher rates of overweight and obesity than whites or Hispanics. Neither overweight nor obesity predict PTB for AI/AN, in contrast to other groups, while diabetes predicts increased odds of PTB for all groups. Being overweight predicts reduced odds of LBW for all groups, but obesity is not predictive of LBW for AI/AN. Diabetes status also does not predict LBW for AI/AN; for other groups, LBW is more likely for women with DM or GDM. Overweight, obesity, DM, and GDM all predict higher odds of macrosomia for all race/ethnic groups. Conclusions for Practice Controlling diabetes in pregnancy, as well as prepregnancy weight gain, may help decrease preterm birth and macrosomia among AI/AN.

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OBJECTIVE: To evaluate the prevalence of macrosomia in Beijing in 2013 and identify its risk factors. METHODS: Retrospective six months analysis of 14 188 full-term singleton pregnant women from 15 hospitals with different levels in Beijing in 2013. Each participant's demographic data and medical information were collected individually by questionnaires. Multiple logistic regression analysis was used to examine the associations between variables and the risk of macrosomia. RESULTS: (1)The total prevalence of macrosomia was 7.069% (1 003/14 188) in Beijing in 2013. (2)The prevalence varied between the 15 hospitals, the lowest was 5.36% (89/1 659), while the highest reached 8.80%(46/523). Furthermore, the incidence of macrosomia was 1.284 times (95% CI: 1.114- 1.480, P=0.001) higher in the second graded hospitals than that in the tertiary hospitals. (3) Multiple logistic regression analyses showed that risk factors for macrosomia were maternal height≥160 cm (adjusted OR=1.875, 95% CI: 1.559- 2.256), pre-pregnant body mass index (p-BMI) ≥24.0 kg/m(2) (24.0- 27.9 kg/m(2): adjusted OR=1.696, 95% CI: 1.426- 2.018; p-BMI≥28.0 kg/m(2): adjusted OR=2.393, 95% CI: 1.831- 3.127), gestational weight gain (GWG) ≥15.9 kg (adjusted OR=2.462, 95% CI: 2.125- 2.853), gravidity>1 (adjusted OR=1.408, 95% CI: 1.224- 1.620), gestational weeks≥40 (adjusted OR=2.007, 95%CI: 1.745-2.308) and gestational diabetes mellitus (adjusted OR=1.522, 95%CI: 1.298-1.784). GWG≥15.9 kg, p-BMI≥28.0 kg/m(2) and gestational weeks≥40 were three risk factors that had the strongest associations with macrosomia (all P<0.01). CONCLUSIONS: The prevalence of macrosomia in hospitals with different levels is obvious different. Gestational weeks, p-BMI and GWG are three main controllable risk factors for macrosomia, thus should receive more attentions.

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BACKGROUND: International studies of the health of Indigenous and tribal peoples provide important public health insights. Reliable data are required for the development of policy and health services. Previous studies document poorer outcomes for Indigenous peoples compared with benchmark populations, but have been restricted in their coverage of countries or the range of health indicators. Our objective is to describe the health and social status of Indigenous and tribal peoples relative to benchmark populations from a sample of countries. METHODS: Collaborators with expertise in Indigenous health data systems were identified for each country. Data were obtained for population, life expectancy at birth, infant mortality, low and high birthweight, maternal mortality, nutritional status, educational attainment, and economic status. Data sources consisted of governmental data, data from non-governmental organisations such as UNICEF, and other research. Absolute and relative differences were calculated. FINDINGS: Our data (23 countries, 28 populations) provide evidence of poorer health and social outcomes for Indigenous peoples than for non-Indigenous populations. However, this is not uniformly the case, and the size of the rate difference varies. We document poorer outcomes for Indigenous populations for: life expectancy at birth for 16 of 18 populations with a difference greater than 1 year in 15 populations; infant mortality rate for 18 of 19 populations with a rate difference greater than one per 1000 livebirths in 16 populations; maternal mortality in ten populations; low birthweight with the rate difference greater than 2% in three populations; high birthweight with the rate difference greater than 2% in one population; child malnutrition for ten of 16 populations with a difference greater than 10% in five populations; child obesity for eight of 12 populations with a difference greater than 5% in four populations; adult obesity for seven of 13 populations with a difference greater than 10% in four populations; educational attainment for 26 of 27 populations with a difference greater than 1% in 24 populations; and economic status for 15 of 18 populations with a difference greater than 1% in 14 populations. INTERPRETATION: We systematically collated data across a broader sample of countries and indicators than done in previous studies. Taking into account the UN Sustainable Development Goals, we recommend that national governments develop targeted policy responses to Indigenous health, improving access to health services, and Indigenous data within national surveillance systems. FUNDING: The Lowitja Institute.

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