Brenna N Renn
Biographic Data
| ID | 1563161 |
|---|---|
| NAME | Brenna N Renn |
| GIVEN NAMES | Brenna N |
| FAMILY NAME | Renn |
| SIGNATURE | RENN B N |
| AFFILIATIONS | University of Nevada, Las Vegas |
| ORCID | 0000-0002-8746-171X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Mental and physical health characteristics of older and younger adults receiving medication for opioid use disorder
Background Methadone is an effective and widely used medication for opioid use disorder (MOUD). Within in the United States (US), older adults represent an increasing proportion of those receiving MOUD, yet little is known about characteristics of older individuals in these programs. Objectives To evaluate mental and physical health characteristics of younger and older adults receiving MOUD and test whether age moderates the relation between phys…
Sport and mental health performance optimization in an adolescent gymnast
The Optimum Performance Program in Sports (TOPPS) is a multi-component, sport-specific Family Behavior Therapy that has demonstrated improved sport performance, relationships, and mental health outcomes in adult and adolescent athletes with, and without, diagnosed mental health disorders in clinical trials. The current case trial demonstrates successful implementation of a novel component of TOPPS (i.e., talk aloud optimal sport performance image…
Artificial Intelligence
Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists…
Modernizing Training in Psychotherapy Competencies With Adaptive Learning Systems
One of the most challenging aspects of training is how to competently deliver evidence-based practices. ITS has the potential to streamline and scale such training
Comorbidity of depressive symptoms among primary care patients with diabetes in a federally qualified health center
Depression is frequently comorbid with diabetes; however, less is known about this comorbidity in socially disadvantaged populations. This cross-sectional study examined depressive symptomatology among 424 patients with prediabetes or type 2 diabetes mellitus at a federally qualified health center. Prevalence of clinically significant depressive symptoms was assessed using the World Health Organization Five-Item Well-Being Index. The majority (67…
Classifying diabetes-burden
This study sought to identify salient factors associated with the Problem Areas in Diabetes Scale to facilitate improved assessment and treatment of diabetes-related burden. Exploratory factor analysis assessed the factor structure of the Problem Areas in Diabetes Scale among 224 Veterans with uncontrolled type 2 diabetes and depressive symptoms. A four-factor solution of emotional, diabetes management, treatment, and social support burden subsca…
Comorbidity of depressive symptoms among primary care patients with diabetes in a federally qualified health center
Depression is frequently comorbid with diabetes; however, less is known about this comorbidity in socially disadvantaged populations. This cross-sectional study examined depressive symptomatology among 424 patients with prediabetes or type 2 diabetes mellitus at a federally qualified health center. Prevalence of clinically significant depressive symptoms was assessed using the World Health Organization Five-Item Well-Being Index. The majority (67…
Classifying diabetes-burden
This study sought to identify salient factors associated with the Problem Areas in Diabetes Scale to facilitate improved assessment and treatment of diabetes-related burden. Exploratory factor analysis assessed the factor structure of the Problem Areas in Diabetes Scale among 224 Veterans with uncontrolled type 2 diabetes and depressive symptoms. A four-factor solution of emotional, diabetes management, treatment, and social support burden subsca…
Classifying diabetes-burden
This study sought to identify salient factors associated with the Problem Areas in Diabetes Scale to facilitate improved assessment and treatment of diabetes-related burden. Exploratory factor analysis assessed the factor structure of the Problem Areas in Diabetes Scale among 224 Veterans with uncontrolled type 2 diabetes and depressive symptoms. A four-factor solution of emotional, diabetes management, treatment, and social support burden subsca…
Modernizing Training in Psychotherapy Competencies With Adaptive Learning Systems
One of the most challenging aspects of training is how to competently deliver evidence-based practices. ITS has the potential to streamline and scale such training
Comorbidity of depressive symptoms among primary care patients with diabetes in a federally qualified health center
Depression is frequently comorbid with diabetes; however, less is known about this comorbidity in socially disadvantaged populations. This cross-sectional study examined depressive symptomatology among 424 patients with prediabetes or type 2 diabetes mellitus at a federally qualified health center. Prevalence of clinically significant depressive symptoms was assessed using the World Health Organization Five-Item Well-Being Index. The majority (67…
Artificial Intelligence
Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists…
Sport and mental health performance optimization in an adolescent gymnast
The Optimum Performance Program in Sports (TOPPS) is a multi-component, sport-specific Family Behavior Therapy that has demonstrated improved sport performance, relationships, and mental health outcomes in adult and adolescent athletes with, and without, diagnosed mental health disorders in clinical trials. The current case trial demonstrates successful implementation of a novel component of TOPPS (i.e., talk aloud optimal sport performance image…
Mental and physical health characteristics of older and younger adults receiving medication for opioid use disorder
Background Methadone is an effective and widely used medication for opioid use disorder (MOUD). Within in the United States (US), older adults represent an increasing proportion of those receiving MOUD, yet little is known about characteristics of older individuals in these programs. Objectives To evaluate mental and physical health characteristics of younger and older adults receiving MOUD and test whether age moderates the relation between phys…
Medicine (6 works) · Psychiatry (5 works) · Psychology (4 works) · Gerontology (3 works) · Mental health (3 works) · Anxiety (2 works) · Artificial Intelligence (2 works) · Chronic Disease Management Strategies (2 works) · Clinical Psychology (2 works) · Comorbidity (2 works)