Predictors of weight stability in women and men: The aerobic center longitudinal study, 1987--1995

It is estimated that more than half the U.S. adult population is overweight or obese as classified by a body mass index of 25.0–29.9 or ≥30 kg/m 2, respectively. Since the current treatment approaches for long-term maintenance of weight loss are lacking, the National Institutes of Health state that an effective approach may be to focus on weight gain prevention. There is a limited body of literature describing how adults maintain a stable weight as they age. It is hypothesized that weight stability is the result of a balance between energy consumption and energy expenditure as influenced by diet, lifestyle, behavior, genetics and environment. The purpose of this research was to examine the dietary intake and behaviors, lifestyle habits, and risk factors for weight change that predict weight stability in a cohort of 2101 men and 389 women aged 20 to 8 7 years in the Aerobic Center Longitudinal Study regardless of body weight at baseline. At baseline, participants completed a maximal exercise treadmill test to determine cardiorespiratory fitness, a medical history questionnaire, which included self-reported measures of weight, dietary behaviors, lifestyle habits, and risk factors for weight change, a three-day diet record, and a mail-back version of the medical history questionnaire in 1990 or 1995. All analyses were performed separately for men and women. Results from multivariate regression analyses indicated that the strongest predictor of follow-up weight for men and women was previous weight, accounting for 87.0% and 81.9% of the variance, respectively. Age, length of follow-up and eating habits were also significant predictors of follow-up weight in men, though these variables only explained 3% of the variance. For women, length of follow-up and currently being on a diet were significantly associated with follow-up weight but these variables explained only an additional 2% of the variance. Understanding the factors that influence weight change has tremendous public health importance for developing effective methods to prevent weight gain. Since current weight was the strongest predictor of previous weight, preventing initial weight gain by maintaining a stable weight may be the most effective method to combat the increasing prevalence of overweight and obesity. ^

Predictors of participation in genetic testing for hereditary breast and ovarian cancer

Up to 10% of all breast and ovarian cancers are attributable to mutations in cancer susceptibility genes. Clinical genetic testing for deleterious gene mutations that predispose to hereditary breast and ovarian cancer (HBOC) syndrome is available. Mutation carriers may benefit from following high-risk guidelines for cancer prevention and early detection; however, few studies have reported the uptake of clinical genetic testing for HBOC. This study identified predictors of HBOC genetic testing uptake among a case series of 268 women who underwent genetic counseling at The University of Texas M. D. Anderson Cancer Center from October, 1996, through July, 2000. Women completed a baseline questionnaire that measured psychosocial and demographic variables. Additional medical characteristics were obtained from the medical charts. Logistic regression modeling identified predictors of participation in HBOC genetic testing. Psychological variables were hypothesized to be the strongest predictors of testing uptake—in particular, one's readiness (intention) to have testing. Testing uptake among all women in this study was 37% (n = 99). Contrary to the hypotheses, one's actual risk of carrying a BRCA1 or BRCA2 gene mutation was the strongest predictor of testing participation (OR = 15.37, CI = 5.15, 45.86). Other predictors included religious background, greater readiness to have testing, knowledge about HBOC and genetic testing, not having female children, and adherence to breast self-exam. Among the subgroup of women who were at ≥10% risk of carrying a mutation, 51% (n = 90) had genetic testing. Consistent with the hypotheses, predictors of testing participation in the high-risk subgroup included greater readiness to have testing, knowledge, and greater self-efficacy regarding one's ability to cope with test results. Women with CES-D scores ≥16, indicating the presence of depressive symptoms, were less likely to have genetic testing. Results indicate that among women with a wide range of risk for HBOC, actual risk of carrying an HBOC-predisposing mutation may be the strongest predictor of their decision to have genetic testing. Psychological variables (e.g., distress and self-efficacy) may influence testing participation only among women at highest risk of carrying a mutation, for whom genetic testing is most likely to be informative. ^

Genetic predictors of bladder cancer with an emphasis on methylation-related genes

Although tobacco exposure remains the prevailing risk factor for bladder cancer (BC), only a small percentage of exposed individuals develop cancer, suggesting that tobacco-related carcinogenesis is modulated by genetic susceptibility and possibly by DNA methylation-related events. Methylation patterns established by DNA methyltransferases (DNMTs) are influenced by dietary folate and genetic polymorphisms in the methylene-tetrahydrofolate reductase gene (MTHFR). Therefore, we hypothesized that DNA methylation-related genes, such as DNMT3B and MTHFR, might modulate BC risk. ^ In a study of 514 Caucasian BC cases and 498 healthy Caucasian controls examining the DNMT3B C46359T polymorphism, CC genotype was found to be a risk factor in women (Odds Ratio (OR) = 1.79), but not in men. This risk was further increased among women who were never smokers, consumed low dietary folate, and had adverse variants of MTHFR. In addition, higher DNMT3B expression among smokers was a risk factor (OR = 4.27) and correlated with genetic variants of the DNMT3B C46359T polymorphism, providing salient evidence for the risk associated with the CC variant. This suggests that the DNMT3B CC variant may confer a predisposition toward aberrant de novo methylation of CpG islands in critical tumor suppressor genes. ^ The convergence of alterations in DNMT3B, associated with promoter methylation, and reduced dietary folate consumption, accompanying global hypomethylation and genetic instability, may act synergistically to promote bladder carcinogenesis, especially in women. The results of this study unveiled new gender-specific paradigms of BC risk for women and demonstrated that this risk can be modified by folate consumption as well as polymorphisms in the folate pathway. ^

Optimally Combining Censored and Uncensored Datasets

Economists and other social scientists often face situations where they have access to two datasets that they can use but one set of data suffers from censoring or truncation. If the censored sample is much bigger than the uncensored sample, it is common for researchers to use the censored sample alone and attempt to deal with the problem of partial observation in some manner. Alternatively, they simply use only the uncensored sample and ignore the censored one so as to avoid biases. It is rarely the case that researchers use both datasets together, mainly because they lack guidance about how to combine them. In this paper, we develop a tractable semiparametric framework for combining the censored and uncensored datasets so that the resulting estimators are consistent, asymptotically normal, and use all information optimally. When the censored sample, which we refer to as the master sample, is much bigger than the uncensored sample (which we call the refreshment sample), the latter can be thought of as providing identification where it is otherwise absent. In contrast, when the refreshment sample is large and could typically be used alone, our methodology can be interpreted as using information from the censored sample to increase effciency. To illustrate our results in an empirical setting, we show how to estimate the effect of changes in compulsory schooling laws on age at first marriage, a variable that is censored for younger individuals. We also demonstrate how refreshment samples for this application can be created by matching cohort information across census datasets.

Sociodemographic characteristics as predictors of successful smoking cessation among a group of Hispanic Spanish speaking smokers

Few studies have examined predictors of smoking abstinence among Hispanic groups. The purpose of this dissertation was to examine the relations of sociodemographic characteristics and smoking related factors with smoking abstinence among a group of Hispanic Spanish speaking smokers. This study utilized previously collected data from Hispanic Spanish-speaking smokers (N = 246) who participated in a study entitled Smoking Cessation Services for Hispanic Smokers in Texas. ^ The first study examined sociodemographic characteristics and smoking related mechanisms that predicted smoking abstinence among this group. Two of the characteristics were related to smoking abstinence, marital status and acculturation level. Being unmarried increased the likelihood of being abstinent at the 12 week assessment (OR = 1.80). Those in the high acculturation group were twice as likely to be abstinent (OR = 2.24). Of the smoking related mechanisms, those with higher positive reinforcement expectancies were less likely to be abstinent (OR = .86), as were those with a higher level of affiliative attachment (OR = .86), a higher level of craving (OR = .78) and a higher tolerance to the effect of smoking (OR = .74). The second study was to examine the relationship of objective measures of socioeconomic status (SES) (income, education, or employment) with smoking abstinence among this group. This study also compared the relationship of a subjective measure of SES (Social Status Ladder) to smoking abstinence. None of the objective measures of SES were related to smoking abstinence at the 12 week assessment. The subjective measure of SES did predict smoking abstinence (OR = 1.9) indicting that those that rated themselves ≤4 on the SES scale were more likely to be abstinent. ^ Although this group was recruited using various methods across the state of Texas, the fact that they preferred to interact with the counselor in Spanish may limit the study findings. The results of this study highlight the need for research to examine specific subgroups of people and understand the special circumstances that influence their health behaviors. Furthering our knowledge of the relations between sociodemographic characteristics and smoking cessation could lead to interventions that reduce disparities in smoking cessation. ^

Psychosocial and environmental predictors of calcium intake, physical activity and bone health among adolescent girls

Objectives. The purpose of this study was to identify the psychosocial and environmental predictors and the pathways they use to influence calcium intake, physical activity and bone health among adolescent girls. Methods. A secondary data analysis using a cross-sectional and longitudinal study design was implemented to examine the associations of interest. Data from the Incorporating More Physical Activity and Calcium in Teens (IMPACT) study collected in 2001-2003 were utilized for the analyses. IMPACT was a 1½ year nutrition and physical activity intervention study conducted among 718 middle-school girls in central Texas. Hierarchical regression modeling and Structural Equation Modeling (SEM) were used to determine the psychosocial predictors of calcium intake, physical activity and bone health at baseline. Hierarchical regression was used to determine if psychosocial factors at baseline were significant predictors of calcium intake and physical activity at follow-up. Data was adjusted for included BMI, lactose intolerance, ethnicity, menarchal status, intervention and participation in 7th grade PE/athletics. Results. Results of the baseline regression analysis revealed that calcium self-efficacy and milk availability at home were the strongest predictors of calcium intake. Friend engagement in physical activity, physical activity self-efficacy and participation in sports teams were the strongest predictors of physical activity. Finally, physical activity outcome expectations, social support and participation in sports teams were significant predictors of stiffness index at baseline. Results of the baseline SEM path analysis found that outcome expectations and milk availability at home directly influenced calcium intake. Knowledge and calcium self-efficacy indirectly influenced calcium intake with outcome expectations as the mediator. Physical activity self-efficacy and social support had significant direct and indirect influence on physical activity with participation in sports teams as the mediator. Participation in sports teams had a direct effect on both physical activity and stiffness index. Results of regression analysis for baseline predicting follow-up showed that participation in sports teams, self-efficacy, outcome expectations and social support at baseline were significant predictors of physical activity at follow-up. Conclusion. Results of this study reinforce the relevance of addressing both, psychosocial and environmental factors which are critical when developing interventions to improve bone health among adolescent girls. ^

Predictors of survival in Alzheimer's disease

Alzheimer's disease (AD) is associated with greater mortality and reduced survival among individuals with Alzheimer's disease as compared to those without dementia. It is uncertain how these survival estimates change when the clinical signs and/or symptoms of comorbid conditions are present in individuals' with Alzheimer's disease. Cardiovascular risk factors such as hypertension, hyperlipidemia, congestive heart failure, coronary artery disease, and diabetes mellitus are common conditions in the aged population. Independently, these factors influence mortality and may have an additive effect on reduced survival in an individual with concomitant Alzheimer's disease. The bulk of the evidence from previous research efforts suggests an association between vascular co-morbidities and Alzheimer's disease incidence, but their role in survival remains to be elucidated. The objective of this proposed study was to examine the effects of cardiovascular comorbidities on the survival experience of individuals with probable Alzheimer's disease in order to identify prognostic factors for life expectancy following onset of disease. This study utilized data from the Baylor College of Medicine Alzheimer's Disease Center (ADC) longitudinal study of Alzheimer's disease and other memory disorders. Individuals between the ages of 55-69, 70-79, and ≥80 had a median survival from date of onset of 9.2 years, 8.0 years, and 7.2 years, respectively (p<0.001) and 5.5 years, 4.3 years, and 3.4 years from diagnosis. Sex was the strongest predictor of death from onset of AD, with females having a 30 percent lower risk compared to males. These findings further support the notion that age (both from onset and from diagnosis) and sex are the strongest predictors of survival among those with AD. ^

Toxics Release Inventory facilities and childhood cancer: Geographic information systems based approach

Purpose. To examine the association between living in proximity to Toxics Release Inventory (TRI) facilities and the incidence of childhood cancer in the State of Texas. ^ Design. This is a secondary data analysis utilizing the publicly available Toxics release inventory (TRI), maintained by the U.S. Environmental protection agency that lists the facilities that release any of the 650 TRI chemicals. Total childhood cancer cases and childhood cancer rate (age 0-14 years) by county, for the years 1995-2003 were used from the Texas cancer registry, available at the Texas department of State Health Services website. Setting: This study was limited to the children population of the State of Texas. ^ Method. Analysis was done using Stata version 9 and SPSS version 15.0. Satscan was used for geographical spatial clustering of childhood cancer cases based on county centroids using the Poisson clustering algorithm which adjusts for population density. Pictorial maps were created using MapInfo professional version 8.0. ^ Results. One hundred and twenty five counties had no TRI facilities in their region, while 129 facilities had at least one TRI facility. An increasing trend for number of facilities and total disposal was observed except for the highest category based on cancer rate quartiles. Linear regression analysis using log transformation for number of facilities and total disposal in predicting cancer rates was computed, however both these variables were not found to be significant predictors. Seven significant geographical spatial clusters of counties for high childhood cancer rates (p<0.05) were indicated. Binomial logistic regression by categorizing the cancer rate in to two groups (<=150 and >150) indicated an odds ratio of 1.58 (CI 1.127, 2.222) for the natural log of number of facilities. ^ Conclusion. We have used a unique methodology by combining GIS and spatial clustering techniques with existing statistical approaches in examining the association between living in proximity to TRI facilities and the incidence of childhood cancer in the State of Texas. Although a concrete association was not indicated, further studies are required examining specific TRI chemicals. Use of this information can enable the researchers and public to identify potential concerns, gain a better understanding of potential risks, and work with industry and government to reduce toxic chemical use, disposal or other releases and the risks associated with them. TRI data, in conjunction with other information, can be used as a starting point in evaluating exposures and risks. ^

Predictors of HIV testing among injection drug users

The current analysis examined the association of several demographic and behavioral variables with prior HIV testing within a population of injection drug users (IDUs) living in Harris County, Texas in 2005 (n=563). After completing the initial univariate analyses of all potential predictors, a multivariable model was created. This model was designed to guide future intervention efforts. Data used in this analysis were collected by the University of Texas School of Public Health in association with the Houston Department of Health and Human Services for the first IDU cycle of the National HIV Behavioral Surveillance System. About 76% of the IDUs reported previously being tested for HIV. Demographic variables that displayed a significant association with prior testing during the univariate analyses include age, race/ethnicity, birth outside the United States, education level, recent arrest, and current health insurance coverage. Several drug-related and sexual behaviors also demonstrated significant associations with prior testing, including age of first injection drug use, heroin use, methamphetamine use, source of needles or syringes, consistent use of new needles, recent visits to a shooting gallery or similar location, previous alcohol or drug treatment, condom use during their most recent sexual encounter, and having sexual partners who also used injection drugs. Additionally, the univariate analyses revealed that recent use of health or HIV prevention services was associated with previously testing for HIV. The final multivariable model included age, race/ethnicity, recent arrest, previous alcohol or drug treatment, and heroin use. ^

Maternal health care utilization in rural Jordanian villages: Patterns and predictors

Background. Different individual (demographic) characteristic and health system related characteristics have been identified in the literature to contribute to different rates of maternal health care utilization in developing countries. This study is going to evaluate the individual and quality of health predictors of maternal health care utilization in rural Jordanian villages. ^ Methods. Data from a 2004 survey was used. Individual (predisposing and enabling) variables, quality of health care variables, and maternal care utilization variables were selected for 477 women who had a live birth during the last 5 years. The conceptual framework used in this study will be the Aday-Andersen model for health services utilization. ^ Results. 82.4% of women received at least one antenatal care visit. Individually, village of residence (p=0.036), parity (p=0.048), education (p=0.006), and health insurance (p=0.029) were found to be significant; in addition to respectful treatment (p=0.045) and clean facilities (p=0.001) were the only quality of health care factors found to be significant in predicting antenatal care use. Using logistic regression, living in southern villages (OR=4.7, p=0.01) and availability of transportation (sometimes OR=3.2, p=0.01 and never OR=2.4, p<0.05) were the only two factors to influence maternal care use. ^ Conclusions. Living in the South and transportation are major barriers to maternal care utilization in rural Jordan. Other important cultural factors of interest in some villages should be addressed in future research. Perceptions of women regarding quality of health services should be seriously taken into account. ^

Psychosocial job characteristics as predictors of overall health: Results from a community-based cross-sectional study conducted in southeast Texas in 2001 and 2002

Stress at the workplace exposes people to increased risk for poor physical and/or mental health. Recently psychological and social disadvantages have been proven to place the worker at risk for mental or physical health outcomes. The overall purpose of this study was to study full time employed study subjects and (1) describe the various psychosocial job characteristics in a population of low income individuals stratified by race/ethnicity residing in Houston and Brownsville, Texas and (2) examine the associations between psychosocial job characteristics and physical, mental, and self rated health. It was observed that having a low level of education is associated with having very little or no control, security, and social support at the workplace. Being Mexican American was associated with having good job control, job security, job social support and having a less demanding job. Furthermore, the psychosocial job characteristics were associated with mental health outcomes but not with physical and self rated health. ^

Health beliefs and attitudes of HPV among Hispanic parents as predictors of intention to use the HPV vaccine

Human Papillomavirus (HPV) is the most common sexually transmitted disease in the United States. Although HPV prevalence is high in the United States, there are a limited number of research studies that focus on Hispanics, who have higher incidence rates of cervical cancer than their non-Hispanic counterparts. The HPV vaccine introduced in 2006 may offer a feasible solution to the issues surrounding high prevalence of HPV. Due to the high prevalence of HPV infection among adolescents and young adults it has been suggested that HPV vaccination begin prior to onset sexual activity and focus on non-sexually active adolescents and pre-adolescents. Consequently, it has become increasingly important to assess knowledge and awareness of HPV in order to develop effective intervention strategies. This pilot study evaluated the knowledge and health beliefs of Hispanic parents regarding HPV and the HPV vaccine using a newly developed questionnaire based on the constructs of the Health Belief Model. The sample was recruited from an ob-gyn office in El Paso, Texas. Descriptive data show that the majority of the sample was female (94.1%), Hispanic (76.5%), Catholic (64.7%), and had at least a high school education (55.9%). Chi-square analysis revealed that the following variables differed amongst parents who intended to vaccinate their child against HPV and those who did not: religion (p=0.038), perceived severity item "HPV infections are easily treated" (p=0.052), perceived benefits item "It is better to vaccinate a child against an STI before they become sexually active" (p=0.014) and perceived barriers item "The HPV vaccine may have serious side effects that could harm my child" (p=0.004). Univariate logistic regression indicated that religion (OR = 4.8, CI: 1.04, 21.8) and "The HPV vaccine may have serious side effects that could harm my child" (OR = 15.9, CI: 1.73, 145.8) were significant predictors of parental intention to vaccinate. Multivariate logistic regression, using backwards elimination, indicated that religion (OR = 7.7, CI: 1.25, 47.8) and "The HPV vaccine may have serious side effects that may harm my child" (OR = 7.6, CI: 1.15, 50.2) were the best predictive variables for parental intention to vaccinate. ^

Application of cell line based genomic predictors to predict response to targeted therapies in breast cancer

Cancer cell lines can be treated with a drug and the molecular comparison of responders and non-responders may yield potential predictors that could be tested in the clinic. It is a bioinformatics challenge to apply the cell line-derived multivariable response predictors to patients who respond to therapy. Using the gene expression data from 23 breast cancer cell lines, I developed three predictors of dasatinib sensitivity by selecting differentially expressed genes and applying different classification algorithms. The performance of these predictors on independent cell lines with known dasatinib response was tested. The predictor based on weighted voting method has the best overall performance. It correctly predicted dasatinib sensitivity in 11 out of 12 (92%) breast and 17 out of 23 (74%) lung cancer cell lines. These predictors were then applied to the gene expression data from 133 breast cancer patients in an attempt to predict how the patients might respond to dasatinib therapy. Two predictors identified 13 patients in common to be dasatinib sensitive. Sixty two percent of these cases are triple negative (ER-negative, HER2-negative and PR-negative) and 76% are double negative. The result is consistent with the findings from other studies, which identified a target population for dasatinib treatment to be triple negative or basal breast cancer subtype. In conclusion, we think that the cell line-derived dasatinib classifiers can be applied to the human patients. ^