Contribution of Student. Xx. Xxxxxxxxxx and I collaborated from the start, beginning with brainstorming an appropriate thesis question. Xx. Xxxxxxxxxx provided the data that I utilized in the analysis, from the National Family Health Survey-2 and the National Family Health Follow-up Survey conducted in 2002/3. Xx. Xxxxxx was involved in the selection and approval of the thesis question and the original follow-up survey data collection. I conducted the analysis, created the tables and figure, and wrote up the literature review, manuscript, public health recommendations and all other writing featured in this thesis. Xx. Xxxxxxxxxx met with me weekly and provided regular support in all stages of the process including edits to all drafts of the thesis. Abstract Although India is experiencing a demographic transition, an emphasis on fertility continues to shape a woman’s value in society. This study examines the association between self-reported fertility intentions and mental health symptoms among 4245 married women aged 00-00 xx Xxxxx, Xxxxxxxxx, Xxxxxxxxxxx, xxx Xxxxx Xxxx Xxxxx as reported in the National Family Health Survey-2 and the National Family Health Survey Follow-up Survey. After adjusting for covariates, regression models indicate an association between unmet fertility desires and mental health, whether through a wanted pregnancy in the next two years which does not come to fruition and the respondent becomes sterilized (mental health problem OR 2.13, 95% CI 1.22-3.69; any mental health symptom OR 1.65, 95% CI 1.19-2.29) or an unwanted pregnancy and poor mental health (any mental health symptom OR 1.43, 95% CI 1.09-1.87). These results provide support for accurate, quality, and a choice of affordable family planning services to women and their partners. Screening for mental health in primary care and reproductive health settings can identify women at-risk for poor mental health who could benefit from integrated mental health and family planning interventions. Finally, continued research can inform programs and policies designed to empower women and increase mental health awareness.
Contribution of Student. I worked with the Xxxxx Xxxxxx International office in Bangladesh in a collaboration with Heidelberg University on the GAAP2 worked nested within of their on- going cluster randomized-controlled trial, Food and Agriculture Approaches to Reducing Malnutrition (FAARM). I collaborated on the design of the in-depth interview guide, the focus group discussion guide and the activities used in focus groups. Subsequently, I traveled to Dhaka to take part in training the field data collection team and familiarizing them with the data collection tools. After re-locating to Sylhet province for data collection, I served as the leader of daily debriefings, and iteratively adjusted the guides with assistance from the FAARM team until data saturation had been achieved. After translation of the transcripts was complete, I conducted an analysis of the data under the supervision and guidance of my thesis chair, Xx. Xxxxxxx Xxxxxxx, and committee member, Xx. Xxxxxx Xxxxxxxx.
Contribution of Student. My contribution to this project began in November 2013 when I discussed interning at the Atlanta Community Food Bank with the Nutrition and Wellness Program Manager, Xxxxxx Xxxxxxx. From this meeting, Xxxxxx and I designed a research question and objectives of the project. Following my meeting with Xxxxxx, Xxx Xxxx-Xxxxxx, my thesis committee chair, and I created specific aims for each objective. I worked with ACFB staff to receive data on partner agencies’ orders. Additionally, I collected data through in-depth interviews with nine partner agencies of ACFB. I conducted all background research, data cleaning and transcription, statistical, and qualitative analyses for my thesis.
Contribution of Student. For the following manuscript, I designed the study, developed the data collection tools and databases, assisted in the compilation of the Institutional Review Board (IRB) study protocol, and managed data collection and entry. In addition, I conducted quality control and analyses of all databases, wrote all sections of the manuscript, and developed all tables and figures.
Contribution of Student. The development of the research question and appropriate analyses were conceived in collaboration between the two authors. Xxxxx X. Xxxxx is responsible for the data collection, data analysis, table development and initial writing of this manuscript. Xxxxxxx
Contribution of Student. In 2013, Xxxx Xxxxx-Xxxxx, MD, MPH began a mixed methods study in collaboration with the Haitian Justinien University Hospital, Konbit Sante, and Emory University to assess illegal abortion practices in urban Haiti. This study has been discussed not only with Xx. Xxx Xxxxxxx, a principal investigator on several projects with this collaborative group, including her family planning fellowship project but with the director of the Northern Department of the Haitian Ministry of Health, who was very interested in this work. Xx. Xxxxx’x project hoped to continue to build on these research partnerships and continue to work towards improving women’s lives in Haiti.
Contribution of Student. This manuscript was prepared by Xxxx Xxxxxx with assistance from Xxxxx Xxxxxx, MD. Xxxx independently cleaned and analyzed data. Xx. Xxxxxx assisted Xxxx in selecting important information to be included in the manuscript, and provided guidance on effective ways to present the material. The manuscript was written by Xxxx and edited by Xx. Xxxxxx.
Contribution of Student. Xx. Xxxxxx was responsible for writing the grant proposal and receiving funding for the study; developing the survey instrument; obtaining IRB approval; managing participant recruitment; conducting data analysis; and leading authorship of the manuscript. Abstract
Contribution of Student. I worked with the Universidad del Xxxxx de Guatemala Campus Altiplano to develop the research topic question and study protocol with the additional support of my advisor Dr.
Contribution of Student. The work herein is product of secondary data analysis performed by the student. The student participated in the construction of the survey and collection of data related to the intimate partner violence study under the guidance of Xxxxxx Xxxxxxx. The student performed analyses independently, including descriptive analysis of data, construction of spatial methodologies and analysis, production of diagrams, tables, graphs, and maps, and all writing. The student’s primary thesis advisor (Xxxxxx Xxxxxxx, MD, MSc), and other faculty members of Emory University (Xxxxx Xxxxxxx, MD, MPH; Xxxxx Xxxxxxx, PhD) provided advisement throughout this process. Abstract Title: Understanding intimate partner violence, HIV, and community based resources through a spatial lens among women in Atlanta, GA Author: Xxxxx Xxxxxxxxx, MPH Background: Current research suggests that women who experience intimate partner violence (IPV) are at higher risk of HIV infection. However, there have been limited investigations into the spatial relationship of both IPV severity and HIV prevalence. This study sought to evaluate the utility of spatial tools in exploring the geographic distribution and clustering of IPV and HIV. Additionally, we investigated the allocation of HIV resources to characterize the void of integrative HIV and IPV resources. Methods: Past 12-month and lifetime IPV data obtained from a conveniently sampled cross-sectional study conducted from March through November 2014 of 85 HIV-negative high-risk women residing in metropolitan core Atlanta. AIDSVu provided Atlanta-based HIV data. Information regarding provision of mental health and violence screening was collected from HIV testing and counseling centers. Descriptive and various spatial statistics were performed using STATA 13.0, ArcGIS 10.2.2, Point Pattern Analysis (PPA) tool, and SaTScan 9.4. Results: High HIV/AIDS prevalence areas were identified in two counties. Marginal IPV severity global clustering trends were found. Localized IPV severity was clustered in the area with high HIV prevalence (2 hot spots; z-score = 3.17 and α=0.05). IPV participants in high HIV prevalence areas were located outside the 1-mile buffer around IPV/mental health integrated resources (n= 38, outside; n=12, inside). However, all 9 of the integrative resources were located in high HIV prevalence areas with clusters of high IPV severity. Conclusions: Our results suggest that geospatial mapping can be useful to identify regions of high IPV se...
