Food insecurity, the limited or uncertain availability of nutritionally adequate and safe foods, may be associated with disordered eating and a poor diet, potentially increasing risk for obesity and health problems. Patterns of food insecurity in California women are described and relationships between food insecurity and obesity (body mass index > or = 30 kg/m(2)) are evaluated using data from the 1998 and 1999 California Women's Health Survey. A total of 8169 women aged > or = 18 y were randomly selected and interviewed by telephone. Food insecurity was evaluated by use of four questions adapted from the U.S. Household Food Security Module. Logistic regression was used to examine the relationship between food insecurity and obesity, controlling for income, race/ethnicity, education, country of birth, general health status and walking. Food insecurity without hunger affected 13.9% of the population and food insecurity with hunger, 4.3%. Almost one fifth (18.8%) of the population was obese. Obesity was more prevalent in food insecure (31.0%) than in food secure women (16.2%). Food insecurity without hunger was associated with increased risk of obesity in whites [odds ratio (OR) = 1.36] and others (OR = 1.47). Food insecurity with hunger was associated with increased risk of obesity for Asians, Blacks and Hispanics (OR = 2.81) but not for non-Hispanic Whites (OR = 0.82). Food insecurity is associated with increased likelihood of obesity and risk is greatest in nonwhites.

SYNOPSISObjectives. 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.

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Despite their high socioeconomic status and early entry into care, foreign-born Asian Indian women have a paradoxically higher incidence of LBW infants and fetal deaths when compared with US-born whites. Factors that protect from giving birth to an LBW infant in white women were not protective among Asian Indian women. Current knowledge regarding factors that confer a perinatal advantage or disadvantage is unable to explain this new epidemiologic paradox. These findings highlight the need for additional research into both epidemiologic and biological risk factors that determine perinatal outcomes.

Conclusions about the role of race/ethnicity could vary with how SES is measured. Education is not an acceptable proxy for income in studies of ethnically diverse populations of childbearing women. SES measures generally should be outcome- and population-specific, and chosen on explicit conceptual grounds; researchers should test multiple theoretically appropriate measures and consider how conclusions might vary with how SES is measured. Researchers should recognize the difficulty of measuring SES and interpret findings accordingly.

Context Increases in neonatal mortality for infants born on the weekend were last noted several decades ago. Although the current health care environment has raised concern about the adequacy of weekend care, there have been no contemporary evaluations of daily patterns of births, obstetric intervention, and case mix-adjusted neonatal mortality. Objective To compare the neonatal mortality of infants born on weekdays and weekends. Design, Setting, and Participants Case series of 1 615 041 live births (weight Ն500 g) in California between 1995-1997 to determine patterns of births, cesarean deliveries, and neonatal deaths. Analyses were stratified by birth weight and delivery method. To assess the role of weekend differences in case mix, observed and birth weight-adjusted odds ratios (ORs) for increased weekend mortality were estimated using logistic regression. Main Outcome Measure Birth weight-adjusted neonatal mortality. Results There was a 17.5% decrease in births on weekends, accompanied by a decrease in the proportion of cesarean deliveries from 22% on weekdays to 16% on weekends. Weekend decreases in births were least pronounced in smaller infants, resulting in a weekend concentration of high-mortality, very low-birth-weight (Ͻ1500 g) births. Observed neonatal mortality increased from 2.80 per 1000 weekday births to 3.12 per 1000 weekend births (OR, 1.12; 95% confidence interval [CI], 1.05-1.19; P=.001) for all births, and from 4.94 to 6.85 (OR, 1.39; 95% CI, 1.25-1.55; PϽ.001) for cesarean deliveries. After adjusting for birth weight, the increased odds of death for infants born on the weekend were no longer significant. Conclusions The provision of optimal care regardless of the day of week is an important goal for perinatal medicine. Comparing the neonatal mortality of infants born on weekdays and weekends provides a straightforward assessment of this goal. After controlling for birth weight, we found no evidence that the quality of perinatal care in California was compromised during the weekend.

Identifying the causal factors and reducing the increased burden of mortality for infants born at night should be a major priority for perinatal medicine.

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