BACKGROUND: The purpose of this study was to explore demographic associations and their predictive value of effective weight maintenance among participants in the Children's Healthcare of Atlanta [CHOA] Strong4Life program for children and youth ages 2 to 20. METHODS: Analyses are based on the Strong4Life clinic data collected by Strong4Life from 2010 through 2014. Participants of the program fell into the 85th percentile and above for Body Mass Index (BMI). Descriptive tests, comparison of means, and logistic regression analyses were run to determine if patterns in the data examining demographic characteristics of the sample and their relationship to successful weight management were statistically significant. RESULTS: Logistic regression findings indicate that ethnicity (OR=2.737, CI: 1.273-5.892) p =0.01 is a predictor of successful weight management (n=324). Stong4Life defined program success as a decrease in BMI z-score of 0.04. While gender, race, baseline weight, asthma and pre-diabetes status were examined; statistical tests did not detect significant variations among the participants. Overall, the Strong4Life program is successful as seen by the p value< 0.001. CONCLUSIONS: Findings from this study are important for childhood obesity programs because tailoring strategies that align with unique segments of the population maximize their potential reach. Obesity research is required to advance intervention development that is sensitive to patterns and distinctions that exist among subpopulations. These findings are important for prevention of childhood obesity efforts and promotion of multidisciplinary approaches to combat obesity world-wide.

The aim of this research was: • to gain a better understanding of factors that influence the performance of Information Technology (IT) students; • to gain a better understanding of how Education Technology can assist in overcoming some of the factors that negatively influence the performance of IT students; *to gain a better understanding of students’ perceptions about technology usage in classrooms; *to determine the correlation between the use of Education Technology and student performance, and *to identify whether the use of resources posted on a LMS can serve as predictors of IT students’ performance. In order to achieve these objectives, the research used, firstly, a literature review to identify factors that influence the performance of IT students and how some of these problems can be overcome with the use of Education Technology. Secondly, the empirical part of the study consisted of data derived from an online Learning Management System called eFundiTM at the North-West University Vaal Triangle campus in South Africa. A questionnaire was issued as a collateral investigation to determine students’ perceptions about technology use in classrooms. The empirical portion of the study was conducted to gain an understanding of how students feel about Education Technology, whether the students’ perceptions have changed during their first semester about technology use and whether the usage of certain resources have an influence on students’ performance. The findings from the literature revealed that mental models, learning styles, mathematical ability, prior programming experience and gender are some of the most prominent predictors of success in the performance of IT students. The empirical portion of the study revealed that the usage of certain resources influences students’ performance and that students have an overall positive perception about technology. Finally, recommendations are made for additional studies in order to extend the study of Education Technology to full-time BSc. IT students (not only BSc. IT extended students) at other universities in South Africa. / MSc (Computer Science), North-West University, Vaal Triangle Campus, 2013

Purpose of the study - Identify predictors of mortality and develop a related care plan for patients who are on antiretroviral therapy (ART) in Gondar, Ethiopia. Design - A quantitative, retrospective cohort study was conducted analysing medical records of HIV patients who presented to Gondar University Hospital (GUH), Gondar, and started ART between 1 January 2007 and 30 June 2010. Results - In defining the predictors of mortality, the findings in bivariate analysis revealed: female sex, CD4 cell count ≤ 50/μl, CD4 cell count 51-199/μl, a haemoglobin concentration ≤8g/dl, a history of oral candidiasis, tuberculosis and Cryptococcus meningitis were all statistically significant. A female sex, CD4 cell count ≤ 50/μl and CD4 cell count 51-199/μl maintain their significance level in the multivariate analysis. Conclusions - The study therefore recommends that clinicians and case managers be vigilant of these predictors of mortality while managing HIV patients who are on ART. Key Concepts- ART, AIDS, HIV, predictors of mortality / Health Studies / (M.A. (Public Health))

Sierra Leone had the highest number of cases of Ebola virus disease in history during the 2014 Ebola epidemic. The purpose of this quantitative, cross-sectional study was to examine the relationship between sociocultural and behavioral risk factors and Ebola status among women and men ages 15 to 49 years in Sierra Leone. The ecological model served as the theoretical framework. Secondary data were collected from the Sierra Leone Ebola Disease Survey. Results of chi-square tests revealed that attending a funeral (p = .001), touching a dead body at a funeral (p = .023), contact with a sick person (p = .001), touching bodily fluids (p = 0.001), gender (p = .035), traditional healer occupation (p = .001), and housewife/care taker occupation (p = .001) were significantly associated with Ebola infection status among the study population. Age, seeking traditional healer care, and preparation and consumption of primate meat were not associated with Ebola virus infection. Results of stepwise backward elimination logistic regression indicated the only significant predictor of Ebola infection was attending a funeral (adjusted R2 = .013 or 1.3%, p = .031). Findings may be used to promote awareness of funeral-related Ebola infection risk and avoiding traditional and religious practices that elevate infection risk during burial of the dead, which may be used to reduce or prevent future Ebola outbreaks in Sierra Leone.

Multiple Sclerosis is a chronic neurological disease whose prevalence within the world's population is increasing. Symptoms of this disease are fatigue, loss of coordination, numbness and tingling, paralysis, and blindness. Currently there is no cure for the disease and, with its disabling variety and severity of symptoms, it is important to look for possibilities that could help slow its progression. Physical activity is one health behavior that promises to slow the progression of the MS among persons afflicted with this disease. Research has revealed that an exercise program improves several measures of well-being, reduces fatigue, and improves strength. While physical activity has been suggested as a management tool, those with MS demonstrate lower levels of physical activity compared to those without MS in the U.S. population. This thesis investigates what influences individuals with MS to participate in physical activity. Its purpose is to look into the possibility that demographic, social hierarchy, social support, and psycho-social/personality characteristics may help predict physical activity regimens among persons with MS. Isolating the determinants of voluntary exercise in the MS subpopulation would enable clinicians and the public health community to develop effective policies and interventions that promote physical activity.

Objective: To determine the factors associated with an increased risk for PTSD in ambulance personnel and the barriers faced in accessing support for work related stress (WRS). Methods: A cross-sectional study of voluntary participants comprising 388 ambulance personnel was conducted. Participants completed self-administered questionnaires: Impact of Event Scale-Revised (IES-R), EMS Critical Incident Inventory (CII), EMS Chronic Stress Questionnaire (EMSCSQ), SF-36 Quality of Life questionnaire (SF-36) and Connor-Davidson Resilience Scale (CD-RISC) which were used to assess PTSD and level of occupational stressors. Results: The prevalence of PTSD in the study population was 30%. Participants were predominantly female (55%), median age 38 (IQR; 31 - 44) years with a professional qualification (83%). Those with PTSD were more likely current smokers (OR=1.76, 95% CI: 1.05 - 2.95), current illicit drug users (OR=16.4, 95% CI: 1.87 - 143.86) and problem drinkers (OR=3.86, 95% CI: 1.80 - 8.23). A self-reported mental health condition (OR=3.76, 1.96 - 7.21), being treated for a medical condition (OR=1.95, 1.22 - 3.11), exposure to chronic WRS (OR=1.05, 1.04 - 1.07) and high critical incident stress score (OR=1.03, 1.02 - 1.04) were positively associated with PTSD risk. Barriers to seeking help for WRS included concerns that services were not confidential, and that the participant's career would be negatively affected. Conclusion: The PTSD prevalence in ambulance personnel is considerably higher than that found in previous studies conducted among this occupational group in the Western Cape. Identified risk factors should inform interventions designed to support ambulance personnel and a greater focus on addressing barriers to accessing care is needed.

Intimate partner sexual violence (IPSV) is a significant public health problem, with recent prevalence rates suggesting that 15.8% of women and 9.5% of men have experienced sexual assault by an intimate partner (Center for Disease Control and Prevention [CDC], 2019). Intimate partner sexual violence is referred to by various terms, all of which can include a range of sexually abusive behaviors that occur within the context of a current or former intimate relationship. While there is a growing body of research documenting environmental influences on intimate partner violence (IPV) generally, (e.g., socioeconomic conditions, social disorganization, community violence, rurality, availability of firearms; Peterson and Krivo, 2009; Sampson et al., 2002; Voith, 2019) little research has focused solely on environmental influences on IPSV. Additionally, the majority of IPSV research has only examined individual-level predictors of IPSV (e.g., alcohol and drug use, education level, racial inequality, aggression; Bagwell-Gray, Messing, & Baldwin-White, 2015), while ignoring the possible community-level influences. The goal of the current study is to examine both a range of neighborhood and individual-level predictors to explore factors that may influence the occurrence of IPSV. Data for this exploratory project were obtained from the Tennessee Bureau of Investigation’s (TBI) online incident-based reporting system, which included reported IPSV cases in all 95 counties in Tennessee (n = 86,567). Additional community-level variables were retrieved from the County Health Rankings and Roadmaps website. Neighborhood-level predictors include community violence, poverty, unemployment, income inequality, alcohol outset density, rurality, and firearm permits. Individual-level variables include the relationship type (intimate, family, acquaintance), the age of the victim and perpetrator (under 18, 18-24, 25-34, 35-44, 45-54, 55-64, and 65 and over), and ethnicity. Dependent variables include four categories of sexual assault (forcible rape, sexual assault with an object, forcible fondling, and forcible sodomy). Due to the rare nature of sexual assaults, a nested case control design was used to evaluate the possible community- and individual-level factors impacting occurrence of IPSV. Each individual case of IPSV (four types of sexual assault; n = 2,678) were randomly matched to 5 simple assault cases (n = 47,896) that matched on age, race, and gender. Once cases are fully matched, multinomial logistic regression will be employed to determine the strongest community- and individual level predictors of IPSV. At present, we are continuing to match cases and estimate this to be completed by May. By assessing the relations among environmental and individual influences on IPSV, this study may potentially inform community-level interventions to prevent sexual violence. An intimate partner’s susceptibility to sexual abuse may be influenced by their current environment, compounded further by known individual-level predictors of IPSV. Particularly true to IPSV, sexual assaults have been known to occur “behind closed doors,” which makes enacting social change and employing specific interventions difficult. By understanding both the individual and larger community predictors of IPSV, legal, clinical, and policy interventions may be better tailored to address the occurrence of sexual assault.

Predicting crime trends via individual and community level-factors associated with crime is common across criminology, public health, and psychology. From social disorganization theory, crime rates are linked to neighborhood ecological characteristics that may shape the occurrence of illegal activities. Expanding this view, Shaw and McKay (1969) and Sampson (1993) emphasized the role of appropriate parental supervision and stable familial homes in reducing crime. Bursik and Grasmick (1993) further highlighted the influence of structural factors such as poverty and divorce. Social disorganization theory includes a discussion of systems within the social ecological model, three of which will be discussed. The micro system (immediate environment) involves factors like family. The mesosystem is where microsystems link, such as between family and community. Lastly, the exosystem (indirect environment) captures larger structures (e.g., economic influences) which help create the built environment comprised of the neighborhood and social services. These levels overlap and may provide information related to specific factors predictive of crime. Health-related quality of life (HRQOL) is a multi-dimensional concept that encapsulates physical, mental, emotional, and social functioning and has been used for risk factor identification (Yin, Njai, Barker, Siegel, & Liao, 2016). In the social ecological model, HRQOL exists in the micro (e.g., child abuse, intimate partner violence), meso (e.g., prenatal care), and exosystems (e.g., neighborhood poverty). For example, a host of research has discussed the contribution of neighborhood disadvantages to increased intimate partner violence rates (Miller-Graff & Graham Bermann, 2014), while other studies have found economic disadvantage and violent crime to negatively impact birthweight (Masi, Hawkley, Piotrowski, & Pickett, 2007). Although these factors, along with others like drug use and various health factors, have been linked to violent crime, the exploration of social ecological predictors for sexual crimes has been comparatively neglected. In a systematic review of risk factors for sexual crime perpetration, Tharp and colleagues (2014) examined 191 empirical studies and identified two societal and community factors (gender-based factors like female education level and environmental factors like homicide rates), 23 relationship factors, and 42 individual-level risk factors for sexual crime perpetration. To attain a better understanding of the potential range of predictors of sexual crime, the current study will utilize data extracted from two publicly available data bases. The first is the Tennessee Bureau of Investigations (TBI) database, which includes crime statistics for each of the 95 counties in Tennessee. Reported number of crimes against persons in 2018 will be examined in the current analysis with variables categorized as either sexual (n=7 offense categories) or violent, non-sexual (n=11 offense categories) crimes. Violent non-sexual crimes will be collapsed into one variable to serve as the comparison group. The second data base, County Health Rankings and Roadmaps, provides data on health factors contributing to quality of life. For all Tennessee counties, 11 community variables will be included. These factors were selected because they reach across the social ecological levels of micro (e.g., single-parent households, teen births, low birthweight), meso (e.g., substance use factors, health factors including mortality and insurance), and exosystems (e.g., children in poverty, disconnected youth). A multinomial logistical regression will be conducted to investigate whether specific community level factors predict the rate of sexual crime beyond the prediction of violent, non-sexual crime. The overall model significance will be examined by the collective effect of the community level predictors. A key factor in promoting community safety while simultaneously preventing sexual violence involves comprehensive strategies that stretch the range of social ecology. Less is known about predictors of sexual violence than those of other crimes. Further, more research has examined individual-level factors related to sexual crime perpetration. A more nuanced understanding of predictors of sexual violence at social ecological levels can assist in the development of more comprehensive prevention and intervention programs that target multiple levels of risk.

No description available.

No description available.