African immigrants' favorable preterm birth rates challenge genetic etiology of the Black-White disparity in preterm birth.

Background: We examined over a million California birth records for 2010 through 2021 to investigate whether disparities in preterm birth (PTB) by nativity and race support the widely held but hitherto unsubstantiated belief that genetic differences explain the persistent Black-White disparity in PTB. Methods: We examined PTB rates and risk ratios among African-, Caribbean-, and U.S.-born Black women compared to U.S.-born White women. Multivariate analyses adjusted for maternal age, education, number of live births, delivery payer, trimester of prenatal care initiation, pre-pregnancy BMI, smoking, and prevalence of poverty in a woman's residence census tract; and for paternal education. Results: In adjusted analyses, African-born Black women's PTB rates were no different from those of U.S.-born White women. Discussion: The results add to prior evidence making a genetic etiology for the racial disparity in PTB unlikely. If genetic differences tied to "race" explained the Black-White disparity in PTB among U.S.-born women, the African immigrants in this study would have had higher rates of PTB, not the lower rates observed. Multiple explanations for the observed patterns and their implications are discussed. Failure to distinguish causes of PTB from causes of the racial disparity in PTB have likely contributed to erroneous attribution of the racial disparity to genetic differences. Based on the literature, unmeasured experiences of racism, including racism-related stress and adverse environmental exposures, are plausible explanations for the PTB disparity between Black and White U.S.-born women. The favorable birth outcomes of African-born Black immigrants may reflect less exposure to racism during sensitive life periods, e.g., childhood, when they were in African countries, where Black people are in the racial majority.

The Affordable Care Act and Changes in Women's Health Insurance Coverage Before, During, and After Pregnancy in California.

OBJECTIVES: Having health insurance is associated with improvements in health care access and use, health behaviors, and outcomes. We examined changes in health insurance coverage for California women before, during, and after pregnancy after implementation of the Affordable Care Act (ACA). METHODS: We used data from the 2011-2017 California Maternal and Infant Health Assessment, an annual representative survey of women sampled from birth certificates (n = 47 487). We examined health insurance coverage at baseline before ACA implementation (2011-2013) and in each survey year from 2014 to 2017 for 3 periods (before, during, and after pregnancy). We calculated prevalence ratios to evaluate changes in health insurance coverage, adjusting for changes in demographic characteristics. Few women were uninsured during pregnancy before implementation of the ACA; therefore, analyses focused on health insurance before pregnancy and postpartum. RESULTS: Before ACA implementation, 24.4% of women reported being uninsured before pregnancy, which decreased to 10.1% in 2017. About 17% of women reported being uninsured postpartum before ACA implementation, and this percentage decreased to 7.5% in 2017. ACA implementation resulted in a >50% adjusted decline in the likelihood of being uninsured before pregnancy or postpartum, primarily because of substantial increases in Medicaid coverage. CONCLUSIONS: ACA implementation resulted in a dramatic reduction in mothers in California who were uninsured before and after pregnancy. Medicaid expansion played a major role in this improvement.

Economic Hardship in Childhood: A Neglected Issue in ACE Studies?

Objectives Adverse childhood experiences (ACEs) have been linked with ill-health in adulthood, but ACE literature has focused on family disruption or dysfunction (e.g., child abuse, parental separation), with less attention to economic adversity. We examined whether a mother's economic hardship in childhood (EHC) was associated with women's hardships and health-risk behaviors during/just before pregnancy. Methods We analyzed population-based survey data on 27,102 postpartum California women. EHC included respondents' reports that during childhood they/their families experienced hunger because of inability to afford food or moved because of problems paying rent/mortgage and the frequency of difficulty paying for basic needs. We examined six maternal hardships/behaviors during/just before pregnancy, including four hardships (poverty, food insecurity, homelessness/no regular place to sleep, intimate partner violence) and two behaviors (smoking, binge drinking). Prevalence ratios (PRs) were calculated from sequential logistic regression models estimating associations between EHC (categorized by level of hardship) and each maternal hardship/behavior, first without adjustment, then adjusting for other childhood and current maternal factors, and finally adding family disruption/dysfunction. Results Before adjustment for family disruption/dysfunction, the highest and intermediate EHC levels were associated with each maternal hardship/behavior; after full adjustment, those associations persisted except with smoking. Higher EHC levels generally appeared associated with larger PRs, although confidence intervals overlapped. Conclusions for Policy/Practice These findings link childhood economic hardship with women's hardships, binge drinking, and possibly smoking around the time of pregnancy. Without establishing causality, they support previous research indicating that childhood economic adversity should be considered an ACE.

Worry about racial discrimination: A missing piece of the puzzle of Black-White disparities in preterm birth?

OBJECTIVES: The causes of the large and persistent Black-White disparity in preterm birth (PTB) are unknown. It is biologically plausible that chronic stress across a woman's life course could be a contributor. Prior research suggests that chronic worry about experiencing racial discrimination could affect PTB through neuroendocrine, vascular, or immune mechanisms involved in both responses to stress and the initiation of labor. This study aimed to examine the role of chronic worry about racial discrimination in Black-White disparities in PTB. METHODS: The data source was cross-sectional California statewide-representative surveys of 2,201 Black and 8,122 White, non-Latino, U.S.-born postpartum women with singleton live births during 2011-2014. Chronic worry about racial discrimination (chronic worry) was defined as responses of "very often" or "somewhat often" (vs. "not very often" or "never") to the question: "Overall during your life until now, how often have you worried that you might be treated or viewed unfairly because of your race or ethnic group?" Prevalence ratios (PRs) with 95% Confidence Intervals (CI) were calculated from sequential logistic regression models, before and after adjustment for multiple social/demographic, behavioral, and medical factors, to estimate the magnitude of: (a) PTB risks associated with chronic worry among Black women and among White women; and (b) Black-White disparities in PTB, before and after adjustment for chronic worry. RESULTS: Among Black and White women respectively, 36.9 (95% CI 32.9-40.9) % and 5.5 (95% CI 4.5-6.5) % reported chronic worry about racial discrimination; rates were highest among Black women of higher income and education levels. Chronic worry was significantly associated with PTB among Black women before (PR 1.73, 95% CI 1.12-2.67) and after (PR 2.00, 95% CI 1.33-3.01) adjustment for covariates. The unadjusted Black-White disparity in PTB (PR 1.59, 95%CI 1.21-2.09) appeared attenuated and became non-significant after adjustment for chronic worry (PR 1.30, 95% CI 0.93-1.81); it appeared further attenuated after adding the covariates (PR 1.17, 95% CI 0.85-1.63). CONCLUSIONS: Chronic worry about racial discrimination may play an important role in Black-White disparities in PTB and may help explain the puzzling and repeatedly observed greater PTB disparities among more socioeconomically-advantaged women. Although the single measure of experiences of racial discrimination used in this study precluded examination of the role of other experiences of racial discrimination, such as overt incidents, it is likely that our findings reflect an association between one or more experiences of racial discrimination and PTB. Further research should examine a range of experiences of racial discrimination, including not only chronic worry but other psychological and emotional states and both subtle and overt incidents as well. These dramatic results from a large statewide-representative study add to a growing-but not widely known-literature linking racism-related stress with physical health in general, and shed light on the links between racism-related stress and PTB specifically. Without being causally definitive, this study's findings should stimulate further research and heighten awareness of the potential role of unmeasured social variables, such as diverse experiences of racial discrimination, in racial disparities in health.

Are the poverty histories of neighbourhoods associated with psychosocial well-being among a representative sample of California mothers? An observational study.

BACKGROUND: We examine the association between the poverty histories of neighbourhoods and three indicators of psychosocial well-being-depressive symptoms, sense of control and number of stressors-in an observational study of mothers of young children in California. We also consider if length of residence in a neighbourhood moderates the association between neighbourhood poverty history and psychosocial well-being. METHODS: Data come from the Geographic Research on Well-being (GROW) Study, a subsample of mothers who completed the population-based California Maternal and Infant Health Assessment in 2003-2007 and were reinterviewed in 2012-2013. Poverty histories of neighbourhoods were constructed using the Neighbourhood Change Database (1970-2000) and American Community Survey (2005-2009). The analytic sample included 2726 women from GROW residing in 1906 census tracts. RESULTS: Adjusting for individual socioeconomic and demographic characteristics, women living in neighbourhoods where poverty decreased over the 40-year period had lower odds of depressive symptoms and a greater sense of control than women living in long-term, low-poverty neighbourhoods. Women living in long-term high-poverty neighbourhoods or in neighbourhoods where poverty increased over the 40-year period reported lower sense of control than women living in long-term, low-poverty neighbourhoods and these effects were modified by length of time living in the neighbourhood. No significant effects of neighbourhood poverty histories were found for number of stressors. CONCLUSIONS: Policies aimed at reducing neighbourhood poverty may improve mothers' psychosocial well-being.

Social Cohesion and Food Insecurity: Insights from the Geographic Research on Wellbeing (GROW) Study.

Objectives Food insecurity in the United States is a stubborn public health issue, affecting more than one in five households with children and disproportionately impacting racial and ethnic minority women and their children. Past research and policy has focused on household predictors of food insecurity, but neglected broader factors, such as perceived neighborhood social cohesion, that might protect those most vulnerable to food insecurity. Methods We use a racially and ethnically diverse data set from the Geographic Research on Wellbeing study (N = 2847) of women and their young children in California to investigate whether social cohesion influences food insecurity and whether it moderates the relationship between race/ethnicity and food insecurity. Results We find that lower levels of perceived residential neighborhood social cohesion associate with higher odds of food insecurity even after considering important household socioeconomic factors. In addition, our results suggest that social cohesion is most relevant for reducing the risk of food insecurity among racial and ethnic minority mothers. For example, the probability of food insecurity for immigrant Latina mothers is nearly 0.40 in neighborhoods where mothers perceive little to no cohesion and less than 0.10 in neighborhoods where mothers perceive high cohesion. Conclusions for Practice Higher levels of neighborhood perceived social cohesion are protective against food insecurity in households with children and especially so for racial and ethnic minority households who are at a heightened risk of food insecurity. Supporting programs that focus on building closer knit communities may be a key to reducing food insecurity overall and for reducing disparities in food insecurity by race and ethnicity.

Interrelationships of physical activity in different domains: Evidence from the Geographic Research on Wellbeing (GROW) study.

Research has rarely distinguished between non-work (NW) and work (W) active transport (AT) or investigated relationships to other domains of physical activity ([PA], like leisure time [LTPA] or work [WPA]). We investigated correlates of AT by employment status, accounting for LTPA and WPA, in a population-based sample of California mothers (N=2906) in the Geographic Research on Wellbeing (GROW) study (2012-2013). AT was measured by the National Household Travel Survey. LTPA was measured using the Stanford Leisure-Time Activity Categorical Item. WPA was measured with the Stanford Brief Activity Survey. Most employed mothers (53%) worked in sedentary jobs, and few (<10%) used NWAT or WAT. Over 20% of unemployed mothers used NWAT, although LTPA levels were similar to employed mothers. Multiple regression models found employed and unemployed with low education and income, and unemployed African American or Latina immigrant mothers had higher odds of using NWAT. Younger employed and unemployed mothers, and unemployed who had ≥4 children or had "light" LTPA had lower odds of using NWAT. Multiple regression models demonstrated that low education or income employed mothers, African American mothers, those who worked part time, and those with relatively low LTPA had higher odds of using WAT, while younger women had lower odds of using WAT, compared with reference groups (ps<0.05). WPA was associated with WAT in unadjusted models, but not in adjusted models. Different AT patterns were seen for employed vs unemployed women, but women who used AT did so for most trips. LTPA was associated with NWAT among unemployed mothers and with WAT among employed mothers. Most women were underactive across all domains, suggesting no compensatory effect of PA done in one domain reducing PA done in another domain, with few meeting minimal guidelines. Policy and practice strategies should support infrastructure to encourage a variety of domains of PA.

Latina Birth Outcomes in California: Not so Paradoxical.

Objectives To investigate Latina-White differences in birth outcomes in California from 2003 to 2010, looking for evidence of the often-cited "Latina paradox" and assessing the possible role of socioeconomic factors in observed differences. MethodsUsing statewide-representative data from the California Maternal and Infant Health Assessment, an annual population-based postpartum survey, we compared rates of preterm birth (PTB) and low birth weight (LBW) in five groups: U.S.-born non-Latina Whites ("Whites"), U.S.-born Mexican-Americans, U.S.-born non-Mexican Latinas, Mexican immigrants, and non-Mexican Latina immigrants. Logistic regression models examined the relative likelihood of PTB and LBW for women in each Latina subgroup compared with Whites, before and after adjustment for socioeconomic and other covariates. Results In unadjusted analyses, women in each Latina subgroup appeared more likely than White women to have PTB and LBW, although the increased likelihood of LBW among Mexican immigrants was statistically non-significant. After adjustment for less favorable socioeconomic characteristics among Latinas compared with Whites, observed differences in the estimated likelihoods of PTB or LBW for Latina subgroups relative to Whites were attenuated and (with the exception of PTB among U.S.-born Mexican Americans) no longer statistically significant. Conclusions We found no evidence of a "Latina paradox" in birth outcomes, which some have cited as evidence that social disadvantage is not always health-damaging. As observed in several previous studies, our findings were non-paradoxical: consistent with their socioeconomic disadvantage, Latinas had worse birth outcomes than non-Latina White women. Policy-makers should not rely on a "Latina paradox" to ensure good birth outcomes among socioeconomically disadvantaged Latina women.

Social disparities in dietary habits among women: Geographic Research on Wellbeing (GROW) Study.

OBJECTIVE: Relationships among race/ethnicity, individual socio-economic status (SES), neighbourhood SES and acculturation are complex. We sought to answer whether: (i) race/ethnicity, individual SES and neighbourhood SES have independent effects on women's fruit and vegetable consumption (FVC); (ii) SES modifies the effects of race/ethnicity on FVC; and (iii) nativity modifies the effect of Latina ethnicity on FVC. DESIGN: Cross-sectional surveys from the population-based Geographic Research on Wellbeing (GROW) Study were linked with census-tract level data. FVC was indicated by (i) consuming fruits and vegetables less often than daily (LOWFV) and (ii) not having fruits and vegetables in the home very often. Other variables included age, marital status, race/ethnicity, country of birth, educational attainment, family income and longitudinal neighbourhood poverty (based on latent class growth models). Weighted logistic regression models accounting for the complex sample design were constructed. SETTING: California, USA, 2012-2013. SUBJECTS: Women (n 2669). RESULTS: In adjusted models, race/ethnicity, education and income were independently associated with FVC, but not neighbourhood poverty. Women of colour, high-school graduates and women with incomes at 301-400 % of the federal poverty level were at higher odds of LOWFV compared with non-Hispanic Whites, college graduates and those with incomes >400 % of the federal poverty level. Little evidence for interactions between race/ethnicity and individual or neighbourhood SES was found; similar patterns were observed for immigrant and US-born Latinas. CONCLUSIONS: Addressing the dietary needs of lower-SES communities requires multilevel interventions that simultaneously provide culturally tailored nutrition education and address the physical and economic accessibility of culturally acceptable fruits and vegetables.

Social and Environmental Factors Related to Smoking Cessation among Mothers: Findings from the Geographic Research on Wellbeing (GROW) Study.

OBJECTIVES: The current study examined associations between race/ethnicity and psychosocial/environmental factors with current smoking status, and whether psychosocial/environmental factors accounted for racial differences in smoking status in a population-based sample of mothers in California. METHODS: Cross-sectional data from 542 women with a history of smoking were used. Analyses adjusted for age, partner status, and educational attainment. RESULTS: In models adjusted for sociodemographics, black women had significantly lower odds, and Latina immigrants had significantly higher odds of being a former smoker compared to white women. Persons smoking in the home, having a majority of friends who smoke, having perceptions of their neighborhood as being somewhat or very unsafe, and experiencing food insecurity were associated with decreased odds of being a former smoker. When these variables were entered into a single model, only being a Latina immigrant and having a majority of friends who smoke were significantly associated with smoking status. CONCLUSIONS: Black women demonstrated a notable disparity compared with white women in smoking status, accounted for by psychosocial/environmental factors. Immigrant Latinas demonstrated notable success in ever quitting smoking. Social networks may be important barriers to smoking cessation among women.

The role of socioeconomic factors in Black-White disparities in preterm birth.

OBJECTIVES: We investigated the role of socioeconomic factors in Black-White disparities in preterm birth (PTB). METHODS: We used the population-based California Maternal and Infant Health Assessment survey and birth certificate data on 10 400 US-born Black and White California residents who gave birth during 2003 to 2010 to examine rates and relative likelihoods of PTB among Black versus White women, with adjustment for multiple socioeconomic factors and covariables. RESULTS: Greater socioeconomic advantage was generally associated with lower PTB rates among White but not Black women. There were no significant Black-White disparities within the most socioeconomically disadvantaged subgroups; Black-White disparities were seen only within more advantaged subgroups. CONCLUSIONS: Socioeconomic factors play an important but complex role in PTB disparities. The absence of Black-White disparities in PTB within certain socioeconomic subgroups, alongside substantial disparities within others, suggests that social factors moderate the disparity. Further research should explore social factors suggested by the literature-including life course socioeconomic experiences and racism-related stress, and the biological pathways through which they operate-as potential contributors to PTB among Black and White women with different levels of social advantage.

Racial/Ethnic Disparities in Depressive Symptoms Among Pregnant Women Vary by Income and Neighborhood Poverty.

We examined racial/ethnic disparities in depressive symptoms during pregnancy among a population-based sample of childbearing women in California (N = 24,587). We hypothesized that these racial/ethnic disparities would be eliminated when comparing women with similar incomes and neighborhood poverty environments. Neighborhood poverty trajectory descriptions were linked with survey data measuring age, parity, race/ethnicity, marital status, education, income, and depressive symptoms. We constructed logistic regression models among the overall sample to examine both crude and adjusted racial/ethnic disparities in feeling depressed. Next, stratified adjusted logistic regression models were constructed to examine racial/ethnic disparities in feeling depressed among women of similar income levels living in similar neighborhood poverty environments. We found that racial/ethnic disparities in feeling depressed remained only among women who were not poor themselves and who lived in long-term moderate or low poverty neighborhoods.

Passenger distractions among adolescent drivers.

PROBLEM: Adolescents who drive with peers are known to have a higher risk of crashes. While passengers may distract drivers, little is known about the circumstances of these distractions among teen drivers. METHOD: This study used survey data on driving among 2,144 California high school seniors to examine distractions caused by passengers. RESULTS: Overall, 38.4% of youths who drove reported having been distracted by a passenger. Distractions were more commonly reported among girls and students attending moderate- to high-income schools. Talking or yelling was the most commonly reported type of distraction. About 7.5% of distractions reported were deliberate, such as hitting or tickling the driver or attempting to use the vehicle's controls. Driving after alcohol use and having had a crash as a driver were both significant predictors of reporting passenger-related distraction. CONCLUSION: Adolescents often experience distractions related to passengers, and in some cases these distractions are intentional. IMPACT ON INDUSTRY: These results provide information about teenage drivers who are distracted by passenger behaviors. In some cases, passengers attempted to use vehicle controls; however, it seems unlikely that this behavior is common enough to warrant redesign of controls to make them less accessible to passengers.

Socioeconomic status and breastfeeding initiation among California mothers.

UNLABELLED: Objectives. To examine multiple dimensions of socioeconomic status and breastfeeding among a large, random sample of ethnically diverse women. METHODS: This study used logistic regression analysis to examine the influence of a range of socioeconomic factors on the chances of ever breastfeeding among a stratified random sample of 10,519 women delivering live births in California for 1999 through 2001. Measures of socioeconomic status included family income as a percentage of the federal poverty level, maternal education, paternal education, maternal occupation, and paternal occupation. RESULTS: Consistent with previous research, there was a marked socioeconomic gradient in breastfeeding. Women with higher family incomes, those who had or whose partners had higher education levels, and women who had or whose partners had professional or executive occupations were more likely than their counterparts to breastfeed. After adjustment for many potential confounders, maternal and paternal education remained positively associated with breastfeeding, while income and occupation were no longer significant. Compared with other racial or ethnic groups, foreign-born Latina women were the most likely to breastfeed. CONCLUSIONS: The significant association of maternal and paternal education with breastfeeding, even after adjustment for income, occupation, and many other factors, suggests that social policies affecting educational attainment may be important factors in breastfeeding. Breastfeeding rates may be influenced by health education specifically or by more general levels of schooling among mothers and their partners. The continuing importance of racial/ethnic differences after adjustment for socioeconomic factors could reflect unmeasured socioeconomic effects, cultural differences, and/or policies in Latin American countries.

Multiple-race mortality data for California, 2000-2001.

OBJECTIVES: To examine mortality rates and quality of race reporting for multiple-race individuals in California using the new multiple-race data available on the death certificate. METHODS: Death date were drawn from California vital statistics for 2000 and 2001. Denominator data were drawn from the 2000 census Modified Race Data Summary File. The authors calculated mortality rates and relative standard errors for multiple-race individuals as a whole and by county, and for the three largest reported multiple-race groups (African American and white, American Indian/Alaska Native and white, and Asian and white). RESULTS: Decedents reported to be of more than one race were disproportionately young, Hispanic, male, and never-married. Age-adjusted mortality rates for multiple-race groups were approximately one-sixth as high as rates for single-race individuals. There was substantial variability in rates for multiple-race decedents according to county of residence. CONCLUSIONS: Mortality rates for multiple-race people were implausibly low, and death certificates for multiple-race individuals were geographically clustered. Race reporting on death certificates will need to be improved before accurate death rates can be calculated for those of multiple races.

Bridging between two standards for collecting information on race and ethnicity: an application to Census 2000 and vital rates.

OBJECTIVES: The 2000 Census, which provides denominators used in calculating vital statistics and other rates, allowed multiple-race responses. Many other data systems that provide numerators used in calculating rates collect only single-race data. Bridging is needed to make the numerators and denominators comparable. This report describes and evaluates the method used by the National Center for Health Statistics to bridge multiple-race responses obtained from Census 2000 to single-race categories, creating single-race population estimates that are available to the public. METHODS: The authors fitted logistic regression models to multiple-race data from the National Health Interview Survey (NHIS) for 1997-2000. These fitted models, and two bridging methods previously suggested by the Office of Management and Budget, were applied to the public-use Census Modified Race Data Summary file to create single-race population estimates for the U.S. The authors also compared death rates for single-race groups calculated using these three approaches. RESULTS: Parameter estimates differed between the NHIS models for the multiple-race groups. For example, as the percentage of multiple-race respondents in a county increased, the likelihood of stating black as a primary race increased among black/white respondents but decreased among American Indian or Alaska Native/black respondents. The inclusion of county-level contextual variables in the regression models as well as the underlying demographic differences across states led to variation in allocation percentages; for example, the allocation of black/white respondents to single-race white ranged from nearly zero to more than 50% across states. Death rates calculated using bridging via the NHIS models were similar to those calculated using other methods, except for the American Indian/Alaska Native group, which included a large proportion of multiple-race reporters. CONCLUSION: Many data systems do not currently allow multiple-race reporting. When such data systems are used with Census counts to produce race-specific rates, bridging methods that incorporate geographic and demographic factors may lead to better rates than methods that do not consider such factors.

Does postpartum length of stay affect breastfeeding duration? A population-based study.

BACKGROUND: Short postpartum hospital stays may leave inadequate time for women to receive assistance with breastfeeding. Women leaving the hospital early may also have household responsibilities that could interfere with breastfeeding. This study examined the relationship between postpartum length of stay and breastfeeding cessation. METHODS: This study used data from 10,519 respondents to the California Maternal and Infant Health Assessment (MIHA) surveys from 1999 to 2001. MIHA is an annual statewide stratified random sample, population-based study of childbearing women in California. Survival analysis was used to examine the relationship between length of stay and length of time breastfeeding. Women were asked about the number of nights their infant stayed in the hospital at birth, whether they breastfed, and if so, the age of the child when they stopped. Hospital stay was defined in three categories: standard (2 nights for a vaginal delivery, 4 nights for a cesarean section), or shorter or longer than the standard stay. RESULTS: Approximately 88 percent of women initiated breastfeeding. Unadjusted predictors of breastfeeding cessation included short or long postpartum stay; young maternal age; Hispanic, African American, or Asian/Pacific Islander race/ethnicity; being unmarried; low income or education level; primiparity; being born in the 50 United States or the District of Columbia; smoking during pregnancy; and low infant birthweight. After adjustment for potential confounders, women with a short stay remained slightly more likely to terminate breastfeeding than women with a standard stay (relative risk, 1.11, 95% confidence interval 1.01, 1.23). CONCLUSION: Women who leave the hospital earlier than the standard recommended stay are at somewhat increased risk of terminating breastfeeding early.

Mind the gap: bridge methods to allocate multiple-race mothers in trend analyses of birth certificate data.

OBJECTIVES: To examine the effects of proposed methods of redistributing multiple-race mothers to single-race categories when computing trend data from birth certificates. METHODS: Low birthweight and multiple (twin and higher-order) birth rates for California were calculated for non-Hispanic mothers from birth certificate data for 2000. Births to the 1.9% of mothers identified as multiple-race were reassigned to single-race groups according to 12 "bridging" methods. Bridge methods utilized population-based whole allocation, fractional allocation, and other methods, primarily depending on first race listed. RESULTS: For large race groups, there was little difference in low birthweight and multiple birth rates regardless of the bridge method employed. For smaller groups such as Native Hawaiians and other Pacific Islanders and American Indians/Alaska Natives, there was substantial variation by bridge method in observed rates. CONCLUSIONS: Tracking trends in birth outcomes across the change in data collection will challenge public health researchers. This paper outlines advantages and disadvantages of various bridge methods.

Family structure, socioeconomic status, and access to health care for children.

OBJECTIVE: To test the hypothesis that among children of lower socioeconomic status (SES), children of single mothers would have relatively worse access to care than children in two-parent families, but there would be no access difference by family structure among children in higher SES families. DATA SOURCES: The National Health Interview Surveys of 1993-95, including 63,054 children. STUDY DESIGN: Logistic regression was used to examine the relationship between the child's family structure (single-mother or two-parent family) and three measures of health care access and utilization: having no physician visits in the past year, having no usual source of health care, and having unmet health care needs. To examine how these relationships varied at different levels of SES, the models were stratified on maternal education level as the SES variable. The stratified models adjusted for maternal employment, child's health status, race and ethnicity, and child's age. Models were fit to examine the additional effects of health insurance coverage on the relationships between family structure, access to care, and SES. PRINCIPAL FINDINGS: Children of single mothers, compared with children living with two parents, were as likely to have had no physician visit in the past year; were slightly more likely to have no usual source of health care; and were more likely to have an unmet health care need. These relationships differed by mother's education. As expected, children of single mothers had similar access to care as children in two-parent families at high levels of maternal education, for the access measures of no physician visits in the past year and no usual source of care. However, at low levels of maternal education, children of single mothers appeared to have better access to care than children in two-parent families. Once health insurance was added to adjusted models, there was no significant socioeconomic variation in the relationships between family structure and physician visits or usual source of care, and there were no significant disparities by family structure at the highest levels of maternal education. There were no family structure differences in unmet needs at low maternal education, whereas children of single mothers had more unmet needs at high levels of maternal education, even after adjustment for insurance coverage. CONCLUSIONS: At high levels of maternal education, family structure did not influence physician visits or having a usual source of care, as expected. However, at low levels of maternal education, single mothers appeared to be better at accessing care for their children. Health insurance coverage explained some of the access differences by family structure. Medicaid is important for children of single mothers, but children in two-parent families whose mothers are less educated do not always have access to that resource. Public health insurance coverage is critical to ensure adequate health care access and utilization among children of less educated mothers, regardless of family structure.

The influence of proximity of prenatal services on small-for-gestational-age birth.

Some studies suggest that prenatal services may decrease the risk of poor fetal growth for full-term infants, but have not examined the influence of the availability of community health and social services. The availability of prenatal services may have a stronger effect among women already at high risk of a small-for-gestational-age (SGA) birth. Singleton full-term (> or = 37 weeks gestation) California births for 1997-98 (n = 744,736) were geocoded to maternal Census tract of residence. Women were placed into one of three demographic risk groups utilizing combinations of maternal age, marital status, parity, and education. SGA was defined as birthweight less than the 10th percentile for gestational age. Locations of WIC sites, prenatal care providers, and perinatal outreach programs were geocoded. Multilevel logistic regression was used to model the influence of community health care services on SGA, adjusting for additional maternal and community factors. There was no association between SGA and community services available for either high- or low-risk women, in either unadjusted or adjusted models. The addition of maternal prenatal care utilization to models did not change the results. Maternal residence near prenatal services was not associated with SGA, regardless of demographic risk; other community factors may warrant consideration.