Dataset Information

Social and anthropometric factors explaining racial/ethnical differences in birth weight in the United States.

ABSTRACT: Though disparities in birth weight by race/ethnicity have been extensively reported in the United States, few studies have systematically investigated factors attributing to its variability. For 10,638,415 singleton infants born during 2009-2012 in the United States, we examined birth weight differences among 14 races and ethnicities (non-Hispanic white, non-Hispanic Black, American Indian, Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, Hawaiian, Guamanian, Mexican, Puerto Rican and Cuban), after sequentially adjusting for maternal, socio-economic and behavioral factors. Average birthweight of non-Hispanic white infants was 3381?g, while for other races/ethnicities birth weight ranged from being 289?g smaller in Japanese to 126?g larger in Samoan infants. Factors explaining differences of more than 50 grams in birth weight compared to white infants were: gestational age for black infants, height and body mass index for all Asian and Samoan mothers, and gestational weight gain for Japanese mothers. Difference in maternal age, parity, socioeconomic and behavioral characteristics did not account for significant portion of birthweight variations for any race. Our findings suggest that differences in maternal anthropometrics, gestational weight gain, and preterm birth rate, but not in maternal age, parity, socioeconomic or behavioral characteristics contribute to racial/ethnic differences in birthweight.

SUBMITTER: Morisaki N

PROVIDER: S-EPMC5399358 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Social and anthropometric factors explaining racial/ethnical differences in birth weight in the United States.

Morisaki Naho N Kawachi Ichiro I Oken Emily E Fujiwara Takeo T

Scientific reports 20170421

Though disparities in birth weight by race/ethnicity have been extensively reported in the United States, few studies have systematically investigated factors attributing to its variability. For 10,638,415 singleton infants born during 2009-2012 in the United States, we examined birth weight differences among 14 races and ethnicities (non-Hispanic white, non-Hispanic Black, American Indian, Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, Hawaiian, Guamanian, Mexican, Puerto Rican ...[more]

PMID: 28429791

Similar Datasets

Project description:BackgroundSocial and psychosocial factors are associated with cardiovascular health (CVH). Our objective was to examine the contributions of individual-level social and psychosocial factors to racial and ethnic differences in population CVH in the NHANES (National Health and Nutrition Examination Surveys) 2011 to 2018, to inform strategies to mitigate CVH inequities.MethodsIn NHANES participants ages ≥20 years, Kitagawa-Blinder-Oaxaca decomposition estimated the statistical contribution of individual-level factors (education, income, food security, marital status, health insurance, place of birth, depression) to racial and ethnic differences in population mean CVH score (range, 0-14, accounting for diet, smoking, physical activity, body mass index, blood pressure, cholesterol, blood glucose) among Hispanic, non-Hispanic Asian, or non-Hispanic Black adults compared with non-Hispanic White adults.ResultsAmong 16 172 participants (representing 255 million US adults), 24% were Hispanic, 12% non-Hispanic Asian, 23% non-Hispanic Black, and 41% non-Hispanic White. Among men, mean (SE) CVH score was 7.45 (2.3) in Hispanic, 8.71 (2.2) in non-Hispanic Asian, 7.48 (2.4) in non-Hispanic Black, and 7.58 (2.3) in non-Hispanic White adults. In Kitagawa-Blinder-Oaxaca decomposition, education explained the largest component of CVH differences among men (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.36 [0.04] points higher in Hispanic, 0.24 [0.04] points lower in non-Hispanic Asian, and 0.23 [0.03] points higher in non-Hispanic Black participants; P<0.05). Among women, mean (SE) CVH score was 8.03 (2.4) in Hispanic, 9.34 (2.1) in non-Hispanic Asian, 7.43 (2.3) in non-Hispanic Black, and 8.00 (2.5) in non-Hispanic White adults. Education explained the largest component of CVH difference in non-Hispanic Black women (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.17 [0.03] points higher in non-Hispanic Black participants; P<0.05). Place of birth (born in the United States versus born outside the United States) explained the largest component of CVH difference in Hispanic and non-Hispanic Asian women (if distribution of place of birth were similar to non-Hispanic White participants, CVH score would be 0.36 [0.07] points lower and 0.49 [0.16] points lower, respectively; P<0.05).ConclusionsEducation and place of birth confer the largest statistical contributions to the racial and ethnic differences in mean CVH score among US adults.

Project description:BackgroundCancer and diabetes are among the leading causes of morbidity and mortality worldwide. Several studies have reported diabetes as a risk factor for developing cancer, a relationship that may be explained by associated factors shared with both diseases such as age, sex, body weight, smoking, and alcohol consumption. Social factors referred to as social determinants of health (SDOH) were shown to be associated with the risk of developing cancer and diabetes. Despite that diabetes and social factors were identified as significant determinants of cancer, no studies examined their combined effect on the risk of developing cancer. In this study, we aim at filling this gap in the literature by triangulating the association between diabetes, indices of SDOH, and the risk of developing cancer.MethodsWe have conducted a quantitative study using data from the Behavioral Risk Factor Surveillance System (BRFSS), whereby information was collected nationally from residents in the United States (US) with respect to their health-related risk behaviors, chronic health conditions, and the use of preventive services. Data analysis using weighted regressions was conducted on 389,158 study participants.ResultsOur findings indicated that diabetes is a risk factor that increases the likelihood of cancer by 13% (OR 1.13; 95%CI: 1.05-1.21). People of White race had higher odds for cancer compared to African Americans (OR 0.44; 95%CI: 0.39-0.49), Asians (OR 0.27; 95%CI: 0.20-0.38), and other races (OR 0.56; 95%CI: 0.46-0.69). The indices of SDOH that were positively associated with having cancer encompassed unemployment (OR 1.78; 95%CI: 1.59-1.99), retirement (OR 1.54; 95%CI: 1.43-1.67), higher income levels with ORs ranging between 1.16-1.38, college education (OR 1.10; 95%CI: 1.02-1.18), college graduates (OR 1.31; 95%CI: 1.21-1.40), and healthcare coverage (OR 1.44; 95%CI: 1.22-1.71). On the other hand, the indices of SDOH that were protective against having cancer were comprised of renting a home (OR 0.86; 95%CI: 0.79-0.93) and never married (OR 0.73; 95%CI: 0.65-0.81).ConclusionThis study offers a novel social dimension for the association between diabetes and cancer that could guide setting strategies for addressing social inequities in disease prevention and access to healthcare.

Project description:BackgroundThe global liver community established a more precise criteria to characterize steatotic liver disease (SLD), specifically metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated and alcohol-associated liver disease (MetALD). We aimed to estimate the burden of SLD subtypes and unfavorable social determinants of health (SDOH) in US adults and whether clinical and social factors drive disparities across racial/ethnic subgroups.MethodsWe evaluated 4263 persons aged 20 years or older from the National Health and Nutrition Examination Survey 2017-2018. We estimated the weighted age-adjusted prevalence and severity of SLD, examined the prevalence of SDOH across SLD subtypes, and performed stepwise regression analysis to evaluate associations between race/ethnicity and SLD, accounting for metabolic risks, alcohol use, and SDOH.ResultsHispanic adults had the highest prevalence of MASLD (22.3%), MASLD-predominant MetALD (10.3%), alcohol-associated liver disease (ALD)-predominant MetALD (5.6%), and ALD (5.4%). Hispanic adults with MASLD had the highest prevalence of high-risk metabolic dysfunction-associated steatohepatitis (18.0%) and advanced fibrosis (21.1%), whereas non-Hispanic (NH) White adults with MetALD had the highest prevalence of high-risk metabolic dysfunction-associated steatohepatitis (19.3%), advanced fibrosis (19.5%), and cirrhosis (8.1%). Adults with ALD-predominant MetALD and ALD had an increased burden of unfavorable SDOH than those with MASLD, particularly food insecurity, limited health care access, and single living. In stepwise regression, the odds of SLD in Hispanic adults decreased after adjusting for metabolic risks (OR 1.40, 95% CI, 1.06-1.84) and alcohol use (OR 1.36, 95% CI, 1.01-1.82). Differences did not persist after adjusting for cumulative SDOH and nativity status (OR 1.22, 95% CI, 0.89-1.68).ConclusionsWe found substantial disparities in the burden of unfavorable SDOH across SLD subtypes, particularly among those with ALD-predominant MetALD and ALD. Population-based approaches targeting SDOH may mitigate racial/ethnic differences among US adults with SLD.

Dataset Information

Social and anthropometric factors explaining racial/ethnical differences in birth weight in the United States.

Publications

Social and anthropometric factors explaining racial/ethnical differences in birth weight in the United States.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets