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Objectives: We examined associations between longitudinal neighborhood poverty trajectories and preterm birth (PTB)., Methods: Using data from the Neighborhood Change Database (1970-2000) and the American Community Survey (2005-2009), we categorized longitudinal trajectories of poverty for California neighborhoods (i.e., census tracts). Birth data included 23 291 singleton California births from the Maternal and Infant Health Assessment (2003-2009). We estimated associations (adjusted for individual-level covariates) between PTB and longitudinal poverty trajectories and compared these to associations using traditional, cross-sectional measures of poverty., Results: Compared to neighborhoods with long-term low poverty, those with long-term high poverty and those that experienced increasing poverty early in the study period had 41% and 37% increased odds of PTB (95% confidence interval [CI] = 1.18, 1.69 and 1.09, 1.72, respectively). High (compared with low) cross-sectional neighborhood poverty was not associated with PTB (odds ratio = 1.08; 95% CI = 0.91, 1.28)., Conclusions: Neighborhood poverty histories may contribute to an understanding of perinatal health and should be considered in future research.

Objectives: We assessed whether it would be feasible to replace the standard measure of net worth with simpler measures of wealth in population-based studies examining associations between wealth and health., Methods: We used data from the 2004 Survey of Consumer Finances (respondents aged 25-64 years) and the 2004 Health and Retirement Survey (respondents aged 50 years or older) to construct logistic regression models relating wealth to health status and smoking. For our wealth measure, we used the standard measure of net worth as well as 9 simpler measures of wealth, and we compared results among the 10 models., Results: In both data sets and for both health indicators, models using simpler wealth measures generated conclusions about the association between wealth and health that were similar to the conclusions generated by models using net worth. The magnitude and significance of the odds ratios were similar for the covariates in multivariate models, and the model-fit statistics for models using these simpler measures were similar to those for models using net worth., Conclusions: Our findings suggest that simpler measures of wealth may be acceptable in population-based studies of health.

Objectives: This study examined the relationship between timing of insurance coverage and prenatal care among low-income women., Methods: Timeliness of prenatal care initiation and adequacy of number of visits were studied among 5455 low-income participants in a larger cross-sectional statewide survey of postpartum women in California during 1994-1995., Results: Although only 2% of women remained uninsured throughout pregnancy, one fifth lacked coverage during the first trimester. Rates of untimely care were highest (> or =64%) among women who were uninsured throughout their pregnancy or whose coverage began after the first trimester; rates were lowest (about 10%) among women who obtained coverage during the first trimester. Women who first obtained Medi-Cal coverage during pregnancy were at low risk of having too few visits., Conclusions: Timing of prenatal coverage should be considered in research on the relationship between coverage and care use among low-income women. Earlier studies that relied solely on principal payer information, without data on when coverage began, may have led to inaccurate inferences about lack of coverage as a barrier to prenatal care.

Objectives: This study sought to examine relationships between neighborhood socioeconomic characteristics and birthweight, accounting for individual socioeconomic characteristics, among 5 ethnic groups., Methods: Birth records were linked to census block-group data for 22 304 women delivering infants at 18 California hospitals during 1994-1995. Information on income and additional factors was obtained from a surveyed subset of 8457 women. Neighborhood levels of poverty, unemployment, and education were examined., Results: After adjustment for mothers' individual socioeconomic characteristics and other risk factors, less-favorable neighborhood socioeconomic characteristics were associated with lower birthweight among Blacks and Asians. No consistent relationship between neighborhood socioeconomic characteristics and birthweight was found among Whites, US-born Latinas, or foreign-born Latinas overall, but birthweight increased with less-favorable neighborhood socioeconomic characteristics among foreign-born Latinas in high-poverty or high-unemployment neighborhoods. These findings were not explained by measured behavioral or cultural factors., Conclusions: In addition to individual socioeconomic characteristics, living in neighborhoods that are less socioeconomically advantaged may differentially influence birthweight, depending on women's ethnicity and nativity.