A5009587205- Statistical Methods and Bayesian Inference
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Statistical Methods and Inference
- Diabetes Management and Research
- Advanced Statistical Methods and Models
- Diabetes Treatment and Management
- Diabetes and associated disorders
- Global Health Workforce Issues
- Optimal Experimental Design Methods
- Diet and metabolism studies
- Obesity, Physical Activity, Diet
- Genetic and phenotypic traits in livestock
- Birth, Development, and Health
- Child and Adolescent Health
- Obesity and Health Practices
- Retinal Diseases and Treatments
- Interprofessional Education and Collaboration
- Advanced Causal Inference Techniques
- Chronic Kidney Disease and Diabetes
- Spatial and Panel Data Analysis
- Pharmacology and Obesity Treatment
- Gestational Diabetes Research and Management
- Bayesian Methods and Mixture Models
- Psychometric Methodologies and Testing
- Nuclear Receptors and Signaling
National Institute of Diabetes and Digestive and Kidney Diseases
2020-2024
National Institutes of Health
2023-2024
Phoenix (United States)
2021-2024
Arizona State University
2016-2021
University of North Carolina at Chapel Hill
2020
University of Pretoria
2020
Mayo Clinic in Arizona
2016
University of Arizona
2016
Banner Health
2016
Banner Alzheimer’s Institute
2016
Abstract Multiple studies suggest that females are affected by Alzheimer disease (AD) more severely and frequently than males. Other have failed to confirm this the issue remains controversial. Difficulties include differences in study methods male versus female life expectancy. Another element of uncertainty is majority lacked neuropathological confirmation AD diagnosis. We compared clinical pathological severity 1028 deceased subjects with full examinations. The age dementia onset did not...
We estimated the effects of cardiorespiratory fitness (CRF) and body mass index (BMI) at baseline on mortality cardiovascular disease events in people with type 2 diabetes who participated Look AHEAD randomized clinical trial.Look compared an intensive lifestyle intervention support education 5145 adults age 45-76 yr overweight/obesity diabetes. In 4773 participants, we performed a secondary analysis association CRF during maximal treadmill test (expressed as metabolic equivalents (METs))...
Abstract Aims/hypothesis For individuals with prediabetes, the current American Diabetes Association (ADA) guidelines recommend a body weight loss >7% to prevent development of type 2 diabetes (T2D) without any glycemic target goals. However, we have recently shown that induced prediabetes remission reduces relative T2D risk by 73% within following two years. Therefore, investigated reduction in people vs those and an independent cohort: randomized controlled Prevention Program (DPP)....
We assessed whether the relationship between insulin secretion and sensitivity predicted development of type 2 diabetes in American Indians participating a longitudinal epidemiologic study. At baseline, when all participants did not have diabetes, 1,566 underwent oral tests 420 had intravenous measures glucose regulation, with estimates sensitivity. Standardized major axis regression was used to study Distances away from along line estimated compensatory secretory demand, respectively. This...
Educational success measured by retention leading to graduation is an essential component of any academic institution. As such, identifying the factors that contribute significantly and addressing those result in poor performances are important exercises. By success, we mean obtaining a semester GPA 3.0 or better 2.0 better. We identified these related challenges through analytical models based on student performance. A large dataset obtained from state university over three consecutive...
Abstract Context Insulin secretion and sensitivity regulate glycemia, with inadequately compensated deficiencies leading to diabetes. Objective We investigated effects of weight loss, an intensive lifestyle intervention (ILS), metformin on the relationship between insulin using repository data from 2931 participants in Diabetes Prevention Program clinical trial adults at high risk developing type 2 Methods were estimated glucose concentrations fasting 30-minute postload serum samples...
To examine the role of glycemic measures performed during childhood in predicting future diabetes-related nephropathy and retinopathy a high-risk indigenous American cohort.
Wir konnten kürzlich zeigen, dass im Rahmen einer Lebensstilintervention (LI) eine Prädiabetes-Remission durch Gewichtsverlust aufgrund gesteigerter Insulinsensitivität vermittelt wird und dadurch das Risiko, einen Typ 2 Diabetes (T2D) zu entwickeln, sinkt. Ob auch bei Personen, die Verlauf der LI kein Gewicht verlieren oder sogar zunehmen, erreicht werden kann ob zugrundeliegenden Mechanismen sich von denen gewichtsverlust-abhängigen Remission unterscheiden, ist nicht bekannt.
An estimated 21 million Americans meet the criteria for a substance use disorder (SUD), whereas 24% of population engages in risky alcohol leading to tremendous health and economic impacts (Substance Abuse Mental Health Services Administration, 2017). Opioid misuse is national public emergency, with an 46,802 opioid-related deaths occurring 2018 (National Center Statistics, 2020). Despite high prevalence SUDs, preservice education related screening treating SUDs behavioral professions...
Introduction & Objective: Apolipoprotein C-III (ApoC3) regulates lipid metabolism by inhibiting lipoprotein lipase and reducing hepatic triglycerides uptake, higher levels associate with insulin resistance (IR). The role of ApoC3 in pregnancy is unclear. We study if apolipoprotein differ women diabetes pregnancy. Methods: Among 66 pregnant (Hispanic Indigenous American) the Early Tracking Childhood Health Determinants (ETCHED) (April 2022-September 2023), 22 (33%) had diabetes. Baseline...
What do we wish to investigate? While this may be a common question in research, it does not always come with straightforward answers. This article reviews data-driven methods of collection, questions asked and answered, the myriad different conclusions that result. We examine differences answers based on independent versus correlated observations, bivariate conditional associations, relations extrapolation, single membership multiple modeling. Regardless issue, these are usually due...
In studies on psychiatry and neurodegenerative diseases, it is common to have data that are correlated due the hierarchical structure in collection or repeated measures subject longitudinally. However, feedback effect created time-dependent covariates these often overlooked seldom modelled. This article reviews methodological development of effects with marginal models for longitudinal discusses their implementation.
We assessed whether the relationship between insulin secretion and sensitivity predicted development of type 2 diabetes in American Indians participating a longitudinal epidemiologic study. At baseline, when all subjects did not have diabetes, 1566 participants underwent oral tests 420 had intravenous measures glucose regulation with estimates sensitivity. Standardized major axis regression was used to study Distances away from along line estimated compensatory secretory demand,...
Traditional statistical analyses of subvisible particle data are usually based on either descriptive statistics, normal-based methods, or standard Poisson models. These methods often do not adequately describe the counts size distribution. They ignore relevant information represented in data, such as count correlation. Therefore, any meaningful require a reasonable representation and distribution correlation data. Such comprehensive approaches widely available used when analyzing In this...
Correlated observations in longitudinal studies are often due to repeated measures on the subjects. Additionally, correlation may be realized association between responses at a particular time and predictors earlier times. There also feedback effects (relation present covariates later time), though these not always relevant ignored. All cases of must accounted for as they can have different regression coefficients. Several authors provided models that reflect direct delayed impact response,...