Improving the transitional experience of previously incarcerated women a nutritional needs assessment at a transitional home in Houston, Texas

Transitional homes present a window of opportunity to address the nutrition-related chronic diseases of previously incarcerated women. However, few transitional facilities offer nutrition education programs. This study assesses the nutritional status of 9 previously incarcerated women living at a transitional home in Houston, Texas and makes recommendations for effective nutrition education programs. Data was collected through individual interviews, questionnaires and a 24-hour dietary recall. Participants differed significantly from national nutrition recommendations when comparing BMI values and fruit, vegetable and fiber intake. Qualitative interview themes concerned key barriers to healthful dietary intake such as inadequate food storage and inconvenient cooking environment. Nutrition education programs at transitional homes should focus on healthy meals and snacks that can be quickly prepared and easily stored in small spaces. ^

Nutritional factors and the risk of cervical dysplasia

A case comparison study of 159 women was conducted to test the hypotheses that women with cervical dysplasia had a higher prevalence of low dietary intakes of carotenoids, vitamin C, and folacin than women without cervical dysplasia, and that there would be no association between the risk of having cervical dysplasia and dietary intake of retinol. Information regarding the prevalence of known risk factors for cervical dysplasia, early age at first intercourse, multiple sexual partners, early age at first pregnancy, history of having sexually transmitted diseases, cigarette smoking, and sociodemographic data was collected. Dietary intake was estimated using a 97 item quantified food frequency questionnaire designed to obtain information on consumption of all sources of retinol, carotenoids, vitamin C and folacin. Univariate analyses showed that the presence of cervical dysplasia was positively and significantly associated with all the risk factors. In analyses of the association of the dietary variables with cervical dysplasia, information on carotenoid intake was calculated in two ways, as total carotenoid intake and as intake of lycopene and other carotenoids. While there appeared to be an inverse association between the presence of cervical dysplasia and intakes of lycopene and folacin, lower intake of retinol, total carotenoids, other carotenoids (non-lycopene carotenoids) or vitamin C did not increase the risk of having cervical dysplasia. Multivariable analyses showed that, in comparison to women who usually consume 105 RE/day of lycopene, the odds of having cervical dysplasia for women who consume 31-104 RE/day and 30 RE/day or less were 1.31 and 1.66 respectively. The odds of having cervical dysplasia in women who consume 199-396 mcg/day and 198 mcg/day or less of folacin were 2.66 and 2.97 respectively as compared to women who usually consume 397 mcg/day or more. These results suggest the importance of re-evaluating existing dietary data and planning in future studies to evaluate the associations of lycopene and folacin with cervical cancer, as well as to extend these results to other diet/cancer investigations. ^

THE APPLICATION OF PATH ANALYSIS TO ASSESSMENT OF IRON NUTRITIONAL STATUS IN MAN

Path analysis has been applied to components of the iron metabolic system with the intent of suggesting an integrated procedure for better evaluating iron nutritional status at the community level. The primary variables of interest in this study were (1) iron stores, (2) total iron-binding capacity, (3) serum ferritin, (4) serum iron, (5) transferrin saturation, and (6) hemoglobin concentration. Correlation coefficients for relationships among these variables were obtained from published literature and postulated in a series of models using measures of those variables that are feasible to include in a community nutritional survey. Models were built upon known information about the metabolism of iron and were limited by what had been reported in the literature in terms of correlation coefficients or quantitative relationships. Data were pooled from various studies and correlations of the same bivariate relationships were averaged after z- transformations. Correlation matrices were then constructed by transforming the average values back into correlation coefficients. The results of path analysis in this study indicate that hemoglobin is not a good indicator of early iron deficiency. It does not account for variance in iron stores. On the other hand, 91% of the variance in iron stores is explained by serum ferritin and total iron-binding capacity. In addition, the magnitude of the path coefficient (.78) of the serum ferritin-iron stores relationship signifies that serum ferritin is the most important predictor of iron stores in the proposed model. Finally, drawing upon known relations among variables and the amount of variance explained in path models, it is suggested that the following blood measures should be made in assessing community iron deficiency: (1) serum ferritin, (2) total iron-binding capacity, (3) serum iron, (4) transferrin saturation, and (5) hemoglobin concentration. These measures (with acceptable ranges and cut-off points) could make possible the complete evaluation of all three stages of iron deficiency in those persons surveyed at the community level. ^

Detecting genetic and nutritional lung cancer risk factors related to folate metabolism using Bayesian generalized linear models

Complex diseases, such as cancer, are caused by various genetic and environmental factors, and their interactions. Joint analysis of these factors and their interactions would increase the power to detect risk factors but is statistically. Bayesian generalized linear models using student-t prior distributions on coefficients, is a novel method to simultaneously analyze genetic factors, environmental factors, and interactions. I performed simulation studies using three different disease models and demonstrated that the variable selection performance of Bayesian generalized linear models is comparable to that of Bayesian stochastic search variable selection, an improved method for variable selection when compared to standard methods. I further evaluated the variable selection performance of Bayesian generalized linear models using different numbers of candidate covariates and different sample sizes, and provided a guideline for required sample size to achieve a high power of variable selection using Bayesian generalize linear models, considering different scales of number of candidate covariates. ^ Polymorphisms in folate metabolism genes and nutritional factors have been previously associated with lung cancer risk. In this study, I simultaneously analyzed 115 tag SNPs in folate metabolism genes, 14 nutritional factors, and all possible genetic-nutritional interactions from 1239 lung cancer cases and 1692 controls using Bayesian generalized linear models stratified by never, former, and current smoking status. SNPs in MTRR were significantly associated with lung cancer risk across never, former, and current smokers. In never smokers, three SNPs in TYMS and three gene-nutrient interactions, including an interaction between SHMT1 and vitamin B12, an interaction between MTRR and total fat intake, and an interaction between MTR and alcohol use, were also identified as associated with lung cancer risk. These lung cancer risk factors are worthy of further investigation.^

Supplemental Nutrition Assistance Program: A policy analysis of restricting foods with minimal nutritional value

In 2011, expenditures for the Supplemental Nutrition Assistance Program (SNAP) reached an all-time high of $72 billion. The goal of SNAP is " to alleviate hunger and malnutrition…by increasing food purchasing power for all eligible households who apply for participation." It has been well established that proper nutrition is essential to good health, making SNAP an important program to public health consumers. Thus, this analysis examined whether SNAP is meeting its stated goal and whether the goal would be reduced if the purchase of foods of minimal nutritional value (FMNV) were restricted. ^ A review of existing literature found that SNAP has been shown to alleviate hunger, but the studies on the nutritional impact of the program were not sufficient to assert whether change is needed. When considering whether limiting FMNV would reduce or improve the effectiveness of SNAP at alleviating hunger and malnutrition, there is very little information on which to base a policy change, particular one that singles out a low income group to restrict purchases. ^ Several states have attempted to restrict the purchase of FMNV but, to date, no such change has been implemented or tested. Conducting pilot studies on the restriction of FMNV, along with better data collection on SNAP purchases, would guide policy changes to the program. Although there are many potential public health benefits to restricting FMNV purchase using SNAP dollars, research is needed to quantify the cost impact of these benefits.^

Sources of familial aggregation and co-aggregation of fasting blood glucose and nutritional factors among Mexican -Americans in Starr County, Texas

The purpose of this study was to determine the effects of nutrient intake, genetic factors and common household environmental factors on the aggregation of fasting blood glucose among Mexican-Americans in Starr County, Texas. This study was designed to determine: (a) the proportion of variation of fasting blood glucose concentration explained by unmeasured genetic and common household environmental effects; (b) the degree of familial aggregation of measures of nutrient intake; and (c) the extent to which the familial aggregation of fasting blood glucose is explained by nutrient intake and its aggregation. The method of path analysis was employed to determine these various effects.^ Genes play an important role in fasting blood glucose: Genetic variation was found to explain about 40% of the total variation in fasting blood glucose. Common household environmental effects, on the other hand, explained less than 3% of the variation in fasting blood glucose levels among individuals. Common household effects, however, did have significant effects on measures of nutrient intake, though it explained only about 10% of the total variance in nutrient intake. Finally, there was significant familial aggregation of nutrient intake measures, but their aggregation did not contribute significantly to the familial aggregation of fasting blood glucose. These results imply that similarities among relatives for fasting blood glucose are not due to similarities in nutrient intake among relatives. ^