Functional Data Analysis in Cephalometric Tracing and Mandibular Examination

Honors (Bachelor's)StatisticsUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/98840/1/emslade.pd

Maternal Diet during Lactation and Breast-feeding Practices have Synergistic Association with Child Diet at 6 Years

Objective: Children breast-fed during infancy consume more fruits and vegetables than formula-fed children. This pattern is likely due, in part, to infant learning from flavours of the mother’s diet transmitted through breast milk, but more research is needed to understand associations between early flavour exposures and later dietary patterns. We examined whether breast-feeding and maternal fruit and vegetable consumption during nursing were synergistically associated with higher child fruit and vegetable consumption. Design: Prospective cohort study of breast-feeding duration, maternal diet postpartum and child diet. Complete breast-feeding and maternal diet data were available for 1396 mother–child dyads; multiple imputation was used for missing data in other variables. In separate multivariable logistic regression models, we estimated the adjusted odds of high child fruit or vegetable consumption at 12 months or 6 years as a function of breast-feeding duration, maternal fruit or vegetable consumption during nursing, and their interaction. Setting: The Infant Feeding Practices Study II and Year 6 Follow-Up. Participants: Mother–child dyads followed from birth to 6 years during 2005–2012 in the USA. Results: Longer breast-feeding duration was associated with high child fruit and vegetable consumption at 12 months. At 6 years, the interaction between breast-feeding duration and maternal vegetable consumption was associated with high child vegetable consumption. Conclusions: Higher maternal vegetable consumption and longer breast-feeding duration were synergistically associated with high child vegetable consumption at 6 years, independent of sociodemographic characteristics and fruit and vegetable availability. Exposures to vegetable flavours through breast milk may promote later child vegetable consumption

Training the Foot Soldiers of Inquiry: Development and Evaluation of a Graduate Teaching Assistant Learning Community

As part of a Howard Hughes Program for Innovation in Science Education grant at Iowa State University, a series of interdisciplinary graduate teaching assistant learning communities (TALC) were developed. The purpose of these communities was to create an environment to facilitate teaching assistants\u27 pedagogical development and training to enhance the implementation of inquiry experiences in the undergraduate laboratories. The TALC evaluated in this study were held for two consecutive semesters and included teaching assistants who facilitated multi-week course-based research experiences in their respective STEM courses. Topics discussed during the TALC were based on the teaching assistants\u27 concerns related to teaching this type of course. Evaluation consisted of weekly reflection responses, a pre- and post-survey of instructional methods they consider to facilitate inquiry, pre-post definitions of inquiry-based instruction, and end-of-semester evaluations of the learning community experiences. This article outlines the development of the TALC and findings from the various forms of evaluation. [ABSTRACT FROM AUTHOR

Sirtuin-mediated nuclear differentiation and programmed degradation in Tetrahymena

<p>Abstract</p> <p>Background</p> <p>The NAD⁺-dependent histone deacetylases, known as "sirtuins", participate in a variety of processes critical for single- and multi-cellular life. Recent studies have elucidated the importance of sirtuin activity in development, aging, and disease; yet, underlying mechanistic pathways are not well understood. Specific sirtuins influence chromatin structure and gene expression, but differences in their pathways as they relate to distinct chromatin functions are just beginning to emerge. To further define the range of global chromatin changes dependent on sirtuins, unique biological features of the ciliated protozoan <it>Tetrahymena thermophila </it>can be exploited. This system offers clear spatial and temporal separation of multiple whole genome restructuring events critical for the life cycle.</p> <p>Results</p> <p>Inhibition with nicotinamide revealed that sirtuin deacetylase activity in <it>Tetrahymena </it>cells promotes chromatin condensation during meiotic prophase, differentiation of heterochromatin from euchromatin during development, and chromatin condensation/degradation during programmed nuclear death. We identified a class I sirtuin, called Thd14, that resides in mitochondria and nucleoli during vegetative growth, and forms a large sub-nuclear aggregate in response to prolonged cell starvation that may be peripherally associated with nucleoli. During sexual conjugation and development Thd14 selectively concentrates in the parental nucleus prior to its apoptotic-like degradation.</p> <p>Conclusions</p> <p>Sirtuin activity is important for several functionally distinct events requiring global chromatin condensation. Our findings suggest a novel role for sirtuins in promoting programmed pycnosis by acting on chromatin destined for degradation. The sirtuin Thd14, which displays physiological-dependent differential localization within the nucleus, is a candidate for a chromatin condensation enzyme that is coupled to nuclear degradation.</p

Multiplexing strategy for simultaneous detection of redox-, phospho- and total proteome – understanding TOR regulating pathways in Chlamydomonas reinhardtii

New methods for studying the complexity of multiple PTMs in functional proteomics are required to understand cell signaling processes. In this study, a multiplexing 2DE-based approach is introduced for parallel analysis of the redox-, phospho-, and total-proteome. This triplexing approach uses spectrally distinct fluorophores, is not matrix-specific and requires relatively low sample amounts with applicability to any cell/tissue type. This methodology was applied for the study of Target of Rapamycin (TOR) regulating pathways in Chlamydomonas reinhardtii. With emerging research demonstrating a complex yet unclear relationship between TOR kinase, autophagy, and lipid metabolism, rapamycin treatment was used to induce TOR inhibition in C. reinhardtii and redox-, phospho- and total proteome changes were assessed using the triplexing approach. We identified a total of 68 spot abundance changes in response to TOR inhibition which provide a basis for understanding this highly conserved, master regulator in algae

Mental Health and Psychosocial Functioning in Recently Separated U.S. Women Veterans: Trajectories and Bi-Directional Relationships

Prior research on the relationship between veterans’ mental health and psychosocial functioning has primarily relied on male samples. Here, we investigated prospective longitudinal relationships between mental health and psychosocial functioning in 554 female Iraq and Afghanistan War veterans who were surveyed three times between two- and seven-years following separation from service. Mixed effects modeling revealed that increasing depression and posttraumatic stress disorder (PTSD) severity predicted declines in work functioning. Increasing PTSD severity predicted declining parental functioning and worsening depression predicted a decline in relationship functioning. In turn, decreased work and intimate relationship functioning predicted increased PTSD and depression symptom severity suggesting bi-directional effects between mental health and psychosocial functioning. An examination of the effect of deployment stressors on psychosocial functioning revealed that deployment sexual harassment was the strongest predictor of decreased psychosocial functioning across all domains. Evidence for the reciprocal nature of relationships between mental health and psychosocial functioning underscore the need for treatment targeted at PTSD and depression, as well as work and relationship functioning to improve outcomes for women veterans

Age and Sex Are Associated with the Plasma Lipidome: Findings from the GOLDN Study

Background Developing an understanding of the biochemistry of aging in both sexes is critical for managing disease throughout the lifespan. Lipidomic associations with age and sex have been reported, but prior studies are limited by measurements in serum rather than plasma or by participants taking lipid-lowering medications. Methods Our study included lipidomic data from 980 participants aged 18–87 years old from the Genetics of Lipid-Lowering Drugs and Diet Network (GOLDN). Participants were off lipid-lowering medications for at least 4 weeks, and signal intensities of 413 known lipid species were measured in plasma. We examined linear age and sex associations with signal intensity of (a) 413 lipid species; (b) 6 lipid classes (glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, fatty acids, and acylcarnitines); and (c) 15 lipid subclasses; as well as with the particle sizes of three lipoproteins. Results Significant age associations were identified in 4 classes, 11 subclasses, 147 species, and particle size of one lipoprotein while significant sex differences were identified in 5 classes, 12 subclasses, 248 species, and particle sizes of two lipoproteins. For many lipid species (n = 97), age-related associations were significantly different between males and females. Age*sex interaction effects were most prevalent among phosphatidylcholines, sphingomyelins, and triglycerides. Conclusion We identified several lipid species, subclasses, and classes that differ by age and sex; these lipid phenotypes may serve as useful biomarkers for lipid changes and associated cardiovascular risk with aging in the future. Future studies of age-related changes throughout the adult lifespan of both sexes are warranted. Trial registration ClinicalTrials.gov NCT00083369; May 21, 2004

The Implementation of Recommender Systems for Mental Health Recovery Narratives: Evaluation of Use and Performance

Background:Recommender systems help narrow down a large range of items to a smaller, personalized set. NarraGive is a first-in-field hybrid recommender system for mental health recovery narratives, recommending narratives based on their content and narrator characteristics (using content-based filtering) and on narratives beneficially impacting other similar users (using collaborative filtering). NarraGive is integrated into the Narrative Experiences Online (NEON) intervention, a web application providing access to the NEON Collection of recovery narratives.Objective:This study aims to analyze the 3 recommender system algorithms used in NarraGive to inform future interventions using recommender systems for lived experience narratives.Methods:Using a recently published framework for evaluating recommender systems to structure the analysis, we compared the content-based filtering algorithm and collaborative filtering algorithms by evaluating the accuracy (how close the predicted ratings are to the true ratings), precision (the proportion of the recommended narratives that are relevant), diversity (how diverse the recommended narratives are), coverage (the proportion of all available narratives that can be recommended), and unfairness (whether the algorithms produce less accurate predictions for disadvantaged participants) across gender and ethnicity. We used data from all participants in 2 parallel-group, waitlist control clinical trials of the NEON intervention (NEON trial: N=739; NEON for other [eg, nonpsychosis] mental health problems [NEON-O] trial: N=1023). Both trials included people with self-reported mental health problems who had and had not used statutory mental health services. In addition, NEON trial participants had experienced self-reported psychosis in the previous 5 years. Our evaluation used a database of Likert-scale narrative ratings provided by trial participants in response to validated narrative feedback questions.Results:Participants from the NEON and NEON-O trials provided 2288 and 1896 narrative ratings, respectively. Each rated narrative had a median of 3 ratings and 2 ratings, respectively. For the NEON trial, the content-based filtering algorithm performed better for coverage; the collaborative filtering algorithms performed better for accuracy, diversity, and unfairness across both gender and ethnicity; and neither algorithm performed better for precision. For the NEON-O trial, the content-based filtering algorithm did not perform better on any metric; the collaborative filtering algorithms performed better on accuracy and unfairness across both gender and ethnicity; and neither algorithm performed better for precision, diversity, or coverage.Conclusions:Clinical population may be associated with recommender system performance. Recommender systems are susceptible to a wide range of undesirable biases. Approaches to mitigating these include providing enough initial data for the recommender system (to prevent overfitting), ensuring that items can be accessed outside the recommender system (to prevent a feedback loop between accessed items and recommended items), and encouraging participants to provide feedback on every narrative they interact with (to prevent participants from only providing feedback when they have strong opinions)

Characterizing Patients using Abuse-deterrent Formulations of Extended-release Opioid Analgesics

Background: Abuse-deterrent formulations (ADFs) of extended-release (ER) opioids are manufactured to address opioid abuse. However, little is known about characteristics of patients who initiate ADF opioids, which is important to identify appropriate comparators to address confounding by indication. Objectives: To describe demographics and medical characteristics of patients prescribed ADF and non-ADF ER opioids in two sources of commercial claims. Methods: Using IBM Marketscan commercial claims (Data A) and a large private insurance provider in North Carolina [USA] (Data B) (both 2009-2018), we conducted a retrospective cohort study to examine patterns of ADF opioid use compared to non-ADF ER opioid use. Patients who initiated ADF and non-ADF ER opioids (18-64 years-old) were selected using both a traditional new user design (no opioid claims during the washout period, defined as six-months prior to ER opioid initiation) and a prevalent new user design (allowed non-ER opioid claims during the washout period and excluded the patients with no six-months eligibility prior to the first immediate-release (IR) opioid claim). Patient characteristics including demographics, medications (gabapentin, benzodiazepine, antidepressants, IR opioids), pain-related symptoms, and cancer were measured during the washout period for patients with ADF and non-ADF ER opioids. Results: Among eligible ER opioid initiators in Data A (N=330,728) and B (N=20,992), 31% and 34% initiated with ADF opioids, respectively. Among these patients, demographics were as follows (Data A and B): age [mean (SD)] = 49.4 (11.8) and 48.4 (11.8); male sex = 51.2% and 55.4%. Among patients with non-ADF ER opioids, demographics were as follows (Data A and Data B): age [mean (SD)] = 49.2 (11.4) and 47.8 (11.3); male sex = 45.8% and 50.4%. About 50% and 62% of patients with ADF opioids initiated with IR opioids, whereas 29%and 34% of patients with non-ADF ER opioids initiated with IR opioids in Data A and B, respectively. In both data sources, the prevalence of several types of pain was higher among patients with ADF opioids than in non-ADF ER group, including acute pain (Data A: 54.5% vs. 40.3%; Data B: 56.7% vs. 41.5%), arthritis pain (35.7% vs. 20.1%; 36.4% vs. 22.7%), and chronic pain (84.8% vs. 76.3%; 89.5% vs. 85.3%). The prevalence of use of medications and cancer was higher in patients with non-ADF ER opioids than in patients with ADF opioids in both data sources. Conclusions: Both data sources revealed differences in characteristics between patients with ADF and non-ADF ER opioids. The implications for research design include identifying appropriate comparator groups when examining ADF opioid use related outcomes

Assessing diversity and inclusivity is the next frontier in mental health recovery narrative research and practice

Demand for digital health interventions is increasing in many countries. The use of recorded mental health recovery narratives in digital health interventions is becoming more widespread in clinical practice. Mental health recovery narratives are first-person lived experience accounts of recovery from mental health problems, including struggles and successes over time. Helpful impacts of recorded mental health recovery narratives include connectedness with the narrative and validation of experiences. Possible harms include feeling disconnected and excluded from others. Diverse narrative collections from many types of narrators and describing multiple ways to recover are important, to maximize the opportunity for service users to benefit through connection, and to minimize the likelihood of harm. Mental health clinicians need to know whether narrative collections are sufficiently diverse to recommend to service users. However, no method exists for assessing diversity and inclusivity of existing or new narrative collections. We argue assessing diversity and inclusivity is the next frontier in mental health recovery narrative research and practice. This is important but methodologically and ethically complex. In this viewpoint article, we evaluated one diversity and two inclusivity assessment methods. The diversity assessment method used Simpson’s Diversity Index. The two inclusivity assessment methods were based on comparator demographic rates and arbitrary thresholds. These methods were applied to four narrative collections as a case study. Refinement needs to be made regarding a narrative assessment tool, practicality and cultural adaptation