Demographic and social factors which influence periodontal disease using the National Health and Nutritional Examination Survey (NHANES)

Periodontal diseases include the various forms of gingivitis and periodontitis. Scientific literature submits 80% of the population suffers from some form of periodontal disease. The comparison of studies measuring periodontal disease is difficult because researchers use various parameters and indexes to define disease severity. The purposes of this paper were to examine the associations of gingival bleeding and 3 or more millimeters periodontal attachment loss, and age, sex, income, race/ethnicity, current tobacco use, dental visits, health insurance, stroke, heart attack, and diabetes using the periodontal examination population from the National Health and Nutritional Examination Survey (NHANES) 1999-2004. ^ When all risk factors were analyzed in the model as a whole sex, race/ethnicity, poverty, and education were statistically significant for bleeding on probing. When all risk factors were analyzed in the model as a whole sex, age, and education were statistically significant for loss of attachment. ^

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. ^

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.^