Barbara A. Laraia

Food Insecurity Is Associated with Chronic Disease among Low-Income NHANES Participants

Food insecurity refers to the inability to afford enough food for an active, healthy life. Numerous studies have shown associations between food insecurity and adverse health outcomes among children. Studies of the health effects of food insecurity among adults are more limited and generally focus on the association between food insecurity and self-reported disease. We therefore examined the association between food insecurity and clinical evidence of diet-sensitive chronic disease, including hypertension, hyperlipidemia, and diabetes. Our population-based sample included 5094 poor adults aged 18-65 y participating in the NHANES (1999-2004 waves). We estimated the association between food insecurity (assessed by the Food Security Survey Module) and self-reported or laboratory/examination evidence of diet-sensitive chronic disease using Poisson regression. We adjusted the models to account for differences in age, gender, race, educational attainment, and income. Food insecurity was associated with self-reported hypertension [adjusted relative risk (ARR) 1.20; 95% CI, 1.04-1.38] and hyperlipidemia (ARR 1.30; 95% CI, 1.09-1.55), but not diabetes (ARR 1.19; 95% CI, 0.89-1.58). Food insecurity was associated with laboratory or examination evidence of hypertension (ARR 1.21; 95% CI, 1.04-1.41) and diabetes (ARR 1.48; 95% CI, 0.94-2.32). The association with laboratory evidence of diabetes did not reach significance in the fully adjusted model unless we used a stricter definition of food insecurity (ARR 2.42; 95% CI, 1.44-4.08). These data show that food insecurity is associated with cardiovascular risk factors. Health policy discussions should focus increased attention on ability to afford high-quality foods for adults with or at risk for chronic disease.

The Development of a Standardized Neighborhood Deprivation Index

Census data are widely used for assessing neighborhood socioeconomic context. Research using census data has been inconsistent in variable choice and usually limited to single geographic areas. This paper seeks to a) outline a process for developing a neighborhood deprivation index using principal components analysis and b) demonstrate an example of its utility for identifying contextual variables that are associated with perinatal health outcomes across diverse geographic areas. Year 2000 U.S. Census and vital records birth data (1998–2001) were merged at the census tract level for 19 cities (located in three states) and five suburban counties (located in three states), which were used to create eight study areas within four states. Census variables representing five socio-demographic domains previously associated with health outcomes, including income/poverty, education, employment, housing, and occupation, were empirically summarized using principal components analysis. The resulting first principal component, hereafter referred to as neighborhood deprivation, accounted for 51 to 73% of the total variability across eight study areas. Component loadings were consistent both within and across study areas (0.2–0.4), suggesting that each variable contributes approximately equally to “deprivation” across diverse geographies. The deprivation index was associated with the unadjusted prevalence of preterm birth and low birth weight for white non-Hispanic and to a lesser extent for black non-Hispanic women across the eight sites. The high correlations between census variables, the inherent multidimensionality of constructs like neighborhood deprivation, and the observed associations with birth outcomes suggest the utility of using a deprivation, index for research into neighborhood effects on adverse birth outcomes.

What is eating you? Stress and the drive to eat.

Non-human animal studies demonstrate relationships between stress and selective intake of palatable food. In humans, exposure to laboratory stressors and self-reported stress are associated with greater food intake. Large studies have yet to examine chronic stress exposure and eating behavior. The current study assessed the relationship between stress (perceived and chronic), drive to eat, and reported food frequency intake (nutritious food vs. palatable non-nutritious food) in women ranging from normal weight to obese (N=457). Greater reported stress, both exposure and perception, was associated with indices of greater drive to eat-including feelings of disinhibited eating, binge eating, hunger, and more ineffective attempts to control eating (rigid restraint; rs from .11 to .36, ps<.05). These data suggest that stress exposure may lead to a stronger drive to eat and may be one factor promoting excessive weight gain. Relationships between stress and eating behavior are of importance to public health given the concurrent increase in reported stress and obesity rates.

The Implications of Maternal Overweight and Obesity on the Course of Pregnancy and Birth Outcomes

The increasing prevalence of overweight and obesity among women of childbearing age is a growing public health concern in the United States. The average body mass index (BMI) is increasing among all age categories and women enter pregnancy at higher weights. Women are also more likely to retain gestational weight with each pregnancy. Women who are overweight (BMI 25–30) and obese (BMI ≥30) are at greater risk of adverse reproductive health outcomes compared to women of normal weight status (BMI 19.8–25). This article provides an overview of the complications associated with maternal overweight and obesity including diabetes, pre-eclampsia, c-sections, and birth defects. We present updated information on the weight trends among women. Finally, we present an overview of the prevention studies aimed at adolescents and women prior to pregnancy.

Household Food Insecurity Is Associated with Self-Reported Pregravid Weight Status, Gestational Weight Gain, and Pregnancy Complications

BACKGROUND Household food insecurity is positively associated with weight among women. The association between household food insecurity and pregnancy-related weight gain and complications is not well understood. OBJECTIVE To identify whether an independent association exists between household food insecurity and pregnancy-related complications. DESIGN Data from the Pregnancy, Infection, and Nutrition prospective cohort study were used to assess household food insecurity retrospectively using the US Department of Agriculture 18-item Core Food Security Module among 810 pregnant women with incomes < or =400% of the income/poverty ratio, recruited between January 2001 and June 2005 and followed through pregnancy. MAIN OUTCOME MEASURES Self-reported pregravid body mass index, gestational weight gain, second trimester anemia, pregnancy-induced hypertension, and gestational diabetes mellitus. STATISTICAL ANALYSES PERFORMED Multivariate linear, multinomial logistic, and logistic regression analyses. RESULTS Among 810 pregnant women, 76% were from fully food secure, 14% were from marginally food secure, and 10% were from food insecure households. In adjusted models, living in a food insecure household was significantly associated with severe pregravid obesity (adjusted odds ratio 2.97, 95% confidence intervals [CIs] 1.44 to 6.14), higher gestational weight gain (adjusted beta coefficient 1.87, 95% CI 0.13 to 3.62), and with a higher adequacy of weight gain ratio (adjusted beta .27, 95% CI 0.07 to 0.50). Marginal food security was significantly associated with gestational diabetes mellitus (adjusted odds ratio 2.76, 95% CI 1.00 to 7.66). CONCLUSIONS This study highlights the possibility that living in a food insecure household during pregnancy may increase risk of greater weight gain and pregnancy complications.

Socioeconomic domains and associations with preterm birth

Neighborhood socioeconomic effects on health have been estimated using multiple variables and indices. This inconsistent estimation approach makes comparison across geographic areas challenging. In this paper, we developed indices representing specific socioeconomic domains that can be reproduced in other areas to estimate elements of the neighborhood socioeconomic environment on health outcomes, specifically preterm birth. Using year 2000 U.S. census data and principal components analysis, socioeconomic indices were developed representing a priori - defined domains of education, employment, housing, occupation, poverty and residential stability. These socioeconomic indices were subsequently used in race-stratified multilevel logistic regression models of preterm birth in eight socioeconomically distinct study areas in the U.S. Maternal residence was obtained from birth records and was geocoded to census tracts. In maternal age and education adjusted models, living in tracts with high unemployment, low education, poor housing, low proportion of managerial or professional occupation and high poverty was associated with increased odds of preterm birth for non-Hispanic white women at most sites. Among non-Hispanic black women, similar associations were noted for tract-level low education, high unemployment, low occupation, and high poverty, but the effect estimates were generally smaller than those seen for white women. Increasing amounts of residential stability were not associated with preterm birth in these analyses. We combined the domain estimates across the eight study sites to produce pooled effect estimates for the socioeconomic domains on preterm birth. The research reported here suggests that specific neighborhood-level socioeconomic features may be especially influential to health outcomes. These socioeconomic domains represent potential targets for intervention or policy efforts designed to improve maternal and child health and reduce health disparities.

Reliability of variables on the North Carolina birth certificate: a comparison with directly queried values from a cohort study.

Birth records are an important source of data for examining population-level birth outcomes, but questions about the reliability of these vital records exist. We sought to assess the reliability of birth certificate data by comparing them with data from a large prospective cohort. Pregnancy, Infection, and Nutrition cohort study participants were matched with their birth certificates to assess agreement for maternal demographics, health behaviours, previous pregnancies and major pregnancy events. Agreement among categorical variables was assessed using percentage agreement and kappa statistics; for continuous variables, Spearmans correlations and concordance correlation coefficients were used. The majority of variables had high agreement between the two data sources, especially for maternal demographic and birth outcome variables. Variables measuring anaemia, gestational diabetes and alcohol consumption showed the lowest correlations. Number of cigarettes smoked and number of previous pregnancies differed by education categories. For most variables, birth records appear to be a good source of reliable information. With the exception of a few variables that differed by education, most variables did not differ by stratum of race or education. Our research further supports the use of birth certificates as a reliable source of population-level data.

Direct observation of neighborhood attributes in an urban area of the US south: characterizing the social context of pregnancy

BackgroundNeighborhood characteristics have been associated with poor maternal and child health outcomes, yet conceptualization of potential mechanisms is still needed. Census data have long served as proxies for area level socioeconomic influences. Unique information captured by neighborhood inventories, mostly conducted in northern US and Canadian urban areas, has shown important aspects of the community environment that are not captured by the socioeconomic and demographic aggregated individual statistics of census data. In this paper, we describe a neighborhood data collection effort tailored to a southern urban area.MethodsThis study used data from the Pregnancy, Nutrition and Infection (PIN) prospective cohort study to describe neighborhoods where low- and moderate-income pregnant women reside. Women who participated in the PIN study and who resided in Raleigh, NC and its surrounding suburbs were included (n = 703). Neighborhood attributes captured by the inventory included litter, housing condition, road condition, and social interactions that informed theoretical constructs of physical incivility, territoriality and social spaces. US Housing and Population Census 2000 data at the block group level were also assessed to identify the unique contribution of directly observed data. We hypothesize that neighborhood environments can influence health through psychosocial mediated pathways that lead to increased stress, or through disadvantage leading to poor neighborhood resources, or by protective attributes through increased social control.ResultsFindings suggest that directly observed neighborhood attributes distinguished between different types of areas in which low-income pregnant non-Hispanic white and non-Hispanic black women lived. Theoretically informed scales of physical incivilities, territoriality and social spaces were constructed and found to be internally consistent. Scales were weakly associated indicating that these constructs capture distinct information about these neighborhoods. Physical incivilities, territoriality and social spaces scales were poorly explained by traditional census variables used to proxy neighborhood environment.ConclusionIf neighborhoods influence health through psychosocial mediated pathways then careful detailing of neighborhood attributes that contribute to stress or deterioration, beyond traditional socioeconomic status, are needed. We believe that measuring physical incivility, territoriality and social spaces as expressions of underlying issues of maintenance and social communication make important contributes to this field.

Neighbourhood deprivation and small‐for‐gestational‐age term births in the United States

Residential context has received increased attention as a possible contributing factor to race/ethnic and socio-economic disparities in birth outcomes in the United States. Utilising vital statistics birth record data, this study examined the association between neighbourhood deprivation and the risk of a term small-for-gestational-age (SGA) birth among non-Hispanic whites and non-Hispanic blacks in eight geographical areas. An SGA birth was defined as a newborn weighing <10th percentile of the sex- and parity-specific birthweight distribution for a given gestational week. Multi-level random intercept logistic regression models were employed and statistical tests were performed to examine whether the association between neighbourhood deprivation and SGA varied by race/ethnicity and study site. The risk of term SGA was higher among non-Hispanic blacks (range 10.8-17.5%) than non-Hispanic whites (range 5.1-9.2%) in all areas and it was higher in cities than in suburban locations. In all areas, non-Hispanic blacks lived in more deprived neighbourhoods than non-Hispanic whites. However, the adjusted associations between neighbourhood deprivation and term SGA did not vary significantly by race/ethnicity or study site. The summary fully adjusted pooled odds ratios, indicating the effect of one standard deviation increase in the deprivation score, were 1.15 [95% CI 1.08, 1.22] for non-Hispanic whites and 1.09 [95% CI 1.05, 1.14] for non-Hispanic blacks. Thus, neighbourhood deprivation was weakly associated with term SGA among both non-Hispanic whites and non-Hispanic blacks.

Place matters: neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE).

While neighborhood deprivation is associated with prevalence of chronic diseases, it is not well understood whether neighborhood deprivation is also associated with cardiometabolic risk factors among adults with chronic disease. Subjects (n = 19,804) from the Diabetes Study of Northern California (DISTANCE) cohort study, an ethnically-stratified, random sample of members of Kaiser Permanente Northern California (KPNC), an integrated managed care consortium, with type 2 diabetes who completed a survey between 2005 and 2007 and who lived in a 19 county study area were included in the analyses. We estimated the association between a validated neighborhood deprivation index (NDI) and four cardiometabolic risk factors: body mass index (BMI = kg/m2), glycosylated hemoglobin (A1c), low density lipoproteins (LDL) and systolic blood pressure (SBP) using multi-level models. Outcomes were modeled in their continuous form and as binary indicators of poor control (severe obesity: BMI ≥35, poor glycemic control: A1c ≥9%, hypercholesterolemia: LDL ≥130 mg/dL, and hypertension: SBP ≥140 mmHg). BMI, A1c and SBP increased monotonically across quartiles of NDI (p < 0.001 in each case); however, LDL was significantly associated with NDI only when comparing the most to the least deprived quartile. NDI remained significantly associated with BMI and A1c after adjusting for individual level factors including income and education. A linear trend (p < 0.001) was observed in the relative risk ratios for dichotomous indicators of severe obesity, poor glycemic control, and 2 or more poorly controlled cardiometabolic risk factors across NDI quartile. In adjusted models, higher levels of neighborhood deprivation were positively associated with indicators of cardiometabolic risk among adults with diabetes, suggesting that neighborhood level deprivation may influence individual outcomes. However, longitudinal data are needed to test the causal direction of these relationships.