Perceived Cognitive Function and Glycemic Variability: Baseline Results From a Cognitive Rehabilitation Intervention.

PURPOSE: The purpose of this study was to examine the association between glucose variability, diabetes self-management, and cognitive function in participants enrolled in a cognitive rehabilitation intervention for people with type 2 diabetes. METHODS: Baseline data from the Memory, Attention, and Problem-Solving Skills for Diabetes randomized controlled trial (n = 95; mean age 65.6 years, SD 5.99; 59.3% female; 59% non-Hispanic White) were analyzed and included scores from the PROMIS Cognitive Function version 2, a measure of perceived cognitive function; glucose variability measurements from continuous glucose monitors; and scores on the Summary of Diabetes Self-Care Activities Survey. RESULTS: Participants had higher levels of perceived cognitive dysfunction than the US average. Lower PROMIS scores were associated with higher levels of glucose variability. Better perceived cognitive health was related to better diabetes self-management. Glucose variability, measured by the coefficient of variation, was a significant predictor of perceived cognitive function. CONCLUSIONS: Perceived cognitive function was associated with diabetes self-management and glucose variability. Understanding this association can support the development of interventions to mitigate effects associated with glucose variability and changes in cognitive function. Including measurements of perceived cognitive function in assessments has the potential to alert health care providers about the need for additional support in diabetes management and the possibility of cognitive impairment that may need further objective assessment.

Musical Activity Engagement, Depressive Symptoms, Physical Activity, and Cognitive Function in People With Type 2 Diabetes.

BACKGROUND: Music interventions have beneficial effects on cognitive function and related risk factors, such as depressive symptoms and behavior of exercise participation. However, little research has been conducted on music's effects on people with type 2 diabetes, and evidence of the effect remains inconclusive in this population. OBJECTIVES: Guided by the theory of music, mood, and movement (MMM), this exploratory study aimed to examine the direct and indirect effects of musical activity engagement, depressive symptoms, and physical activity on cognitive function in people with type 2 diabetes. METHODS: The present study is a secondary data analysis using the cross-sectional data collected from the Memory, Attention, and Problem-Solving Skills for Persons with Diabetes trial conducted between 2021 and 2023. Data were collected using self-reported questionnaires and a computerized cognitive assessment tool. A total of 189 people with type 2 diabetes and subjective cognitive decline were included in the study. Path analysis was conducted using IBM SPSS AMOS to examine the pathways of the proposed conceptual framework. RESULTS: The study results partially support the MMM model for subjective cognitive function but not objective cognitive function. The path model demonstrated the significant direct effects of musical activity engagement on physical activity, physical activity on subjective cognitive function, and depressive symptoms on physical activity as well as on subjective cognitive function. There was a significant indirect effect of musical activity engagement on subjective cognitive function through physical activity-which fully mediated this relationship. However, no significant direct effect of musical activity engagement on depressive symptoms and subjective cognitive function was found. DISCUSSION: The findings suggest that regular assessment of the presence of depressive symptoms and physical activity participation should be done in people with type 2 diabetes to identify potential modifiable factors and develop targeted interventions for cognitive health promotion. Also, our findings provide insights into the potential use of music to facilitate physical activity and manage cognitive health in people with type 2 diabetes. This study partially supports the MMM model; however, more research with a rigorous study design and larger sample size is needed to better understand the relationships among musical activity engagement, depressive symptoms, physical activity, and cognitive function.

Driving among individuals with chronic conditions: A systematic review of applied research using kinematic driving sensors.

BACKGROUND: Kinematic driving data studies are a novel methodology relevant to health care, but prior studies have considerable variance in their methods, populations, and findings suggesting a need for critical analysis and appraisal for feasibility and methodological guidelines. METHODS: We assessed kinematic driving studies of adults with chronic conditions for study feasibility, characteristics, and key findings, to generate recommendations for future study designs, and to identify promising directions for applications of kinematic driving data. PRISMA was used to guide the review and searches included PubMed, CINAHL, and Compendex. Of 379 abstract/titles screened, 49 full-text articles were reviewed, and 29 articles met inclusion criteria of analyzing trip-level kinematic driving data from adult drivers with chronic conditions. RESULTS: The predominant chronic conditions studied were Alzheimer's disease and related Dementias, obstructive sleep apnea, and diabetes mellitus. Study objectives included feasibility testing of kinematic driving data collection in the context of chronic conditions, comparisons of simulation with real-world kinematic driving behavior, assessments of driving behavior effects associated with chronic conditions, and prognostication or disease classification drawn from kinematic driving data. Across the studies, there was no consensus on devices, measures, or sampling parameters; however, studies showed evidence that driving behavior could reliably differentiate between adults with chronic conditions and healthy controls. CONCLUSIONS: Vehicle sensors can provide driver-specific measures relevant to clinical assessment and interventions. Using kinematic driving data to assess and address driving measures of individuals with multiple chronic conditions is positioned to amplify a functional outcome measure that matters to patients.

Development and Use of a Tech-Based Data Management System for a Cognitive Rehabilitation Randomized Controlled Trial for People With Type 2 Diabetes.

Successful technology-based interventions to improve patients' self-management are providing an incentive for researchers to develop and implement their own technology-based interventions. However, the literature lacks guidance on how to do this. In this article, we describe the electronic process with which we designed and implemented a technology-based data management system to implement a randomized controlled trial of a comprehensive cognitive rehabilitation intervention to improve cognitive function and diabetes self-management in people with type 2 diabetes. System development included feasibility assessment, interdisciplinary collaboration, design mapping, and use of institutionally and commercially available software. The resulting framework offers a template to support the development of technology-based interventions. Initial development may be time-consuming, but the benefits of the technology-based format surpass any drawbacks.

Adolescent Simulation in a Health Assessment Course for Advanced Practice Nursing Students.

ABSTRACT: Advanced practice registered nurse (APRN) students face challenges transitioning to practice. They benefit greatly from simulated learning experiences that build confidence and increase competence in the skills needed to perform in an APRN role. The purpose of this quality improvement project was to evaluate the effectiveness of a simulated adolescent well visit in an advanced health assessment course. Using a pretest/posttest design, qualitative and quantitative data were collected from participants. Results included high learner satisfaction, an increase in both self-reported competence and confidence, and an appreciation for the "safe space" of learning.

The impact of musical reward responses on cognitive function in older adults with type 2 diabetes.

Cognitive decline is prevalent in older adults with type 2 diabetes (T2DM). The use of music has emerged to improve cognitive health. Even though reward from music has been shown to improve cognitive function, no studies have focused on specific factors of musical reward. This study investigated which factors of musical reward impact cognitive function in older adults with T2DM. A secondary data analysis was conducted with 185 older adults with T2DM and subjective cognitive decline. Among the musical reward factors, mood regulation significantly influenced subjective cognitive function (ß = 0.315; p < 0.001). The findings suggest that music interventions for older adults with T2DM may need to focus on managing their psychological states for the intervention to have beneficial effects on cognitive function. Future rigorous studies with larger sample sizes should be done to obtain robust evidence for optimal music interventions for older adults with T2DM.

Revision and Psychometric Evaluation of the Diabetes Knowledge Questionnaire for People With Type 2 Diabetes.

Objective: Diabetes knowledge is associated with health, including lower A1C levels. The Diabetes Knowledge Questionnaire (DKQ-24), developed 30 years ago for Mexican Americans with type 2 diabetes and since used with diverse samples in many countries, contains outdated items that no longer accurately assess current knowledge needed for diabetes self-management. We revised the DKQ-24 and tested psychometric properties of the DKQ-Revised (DKQ-R) with a diverse sample. Methods: We conducted a five-phase instrumentation study as follows: 1) DKQ-24 items were revised to reflect current diabetes care standards; 2) the Delphi method was used to evaluate the DKQ-R's content validity (n = 5 experts); 3) cognitive interviews were conducted with people with type 2 diabetes (n = 5) to assess their interpretations of DKQ-R items; 4) cross-sectional administration of the DKQ-R to adults with type 2 diabetes was carried out to assess internal consistency reliability and convergent validity; and 5) an item analysis was conducted using discrimination index and point biserial analysis. Results: After receiving the experts' feedback and conducting the cognitive interviews, 39 items were administered to 258 participants with type 2 diabetes (42.2% women; 29.1% Latino, 42.6% Asian, mean age 55.7 years). To select the final items, we considered the item discrimination index, as well as item-to-total correlations, content area, and participant feedback. The final 22-item DKQ-R uses the same yes/no/I don't know response format as the DKQ-24. The DKQ-R is strongly correlated with the DKQ-24 (r = 0.71, P <0.01) and is weakly correlated with diabetes numeracy (r = 0.23, P <0.01), indicating adequate convergent validity; a Kuder-Richardson-20 coefficient of 0.77 indicated good reliability. Conclusion: The DKQ-R is a reliable and valid updated measure of diabetes knowledge for diverse populations with type 2 diabetes.

Impact of Fatigue and Its Influencing Factors on Diabetes Self-Management in Adults With Type 2 Diabetes: A Structural Equation Modeling Analysis.

PURPOSE: The purposes of this study were to (1) examine the relationships between fatigue, its influencing factors, and diabetes self-management and (2) test the mediation effects of fatigue on the link between the influencing factors and diabetes self-management in adults with type 2 diabetes. METHODS: This cross-sectional, correlational study was guided by the theory of unpleasant symptoms. Data were collected using structured questionnaires. Fatigue was measured by the Fatigue Symptom Inventory and the Multidimensional Fatigue Inventory. Diabetes self-management was measured by the Summary of Diabetes Self-Care Activities. From March to July 2021, a convenience sample of 150 participants was recruited from 2 diabetes outpatient clinics of a regional hospital in Taiwan. Data were analyzed using structural equation modeling. RESULTS: A more recent diagnosis of diabetes, more depressive symptoms, and lower sleep quality were related to higher fatigue. Higher fatigue correlated with less performance in diabetes self-management. Fatigue mediated the relationship between depressive symptoms, sleep quality, and diabetes self-management. CONCLUSIONS: Fatigue had a mediating effect on the link between psychological influencing factors and diabetes self-management. Future development of fatigue interventions integrating depressive symptoms and sleep management will likely increase the performance of diabetes self-management and improve the health outcomes in adults with type 2 diabetes. The study tested the theory of unpleasant symptoms using empirical data and will assist in building theory-guided fatigue interventions to improve diabetes self-management in people with type 2 diabetes.

Effect of Music Interventions on Cognitive Function in Older Adults With Mild Cognitive Impairment: A Systematic Review.

The purpose of the current systematic review was to examine the effects of music interventions on cognitive function in older adults with mild cognitive impairment (MCI). A systematic search of CINAHL, PubMed, PsycINFO, and Web of Science databases was performed. Studies examining the effects of music interventions on cognitive function in older adults with MCI were included. Narrative synthesis for cognitive outcomes postintervention was performed. A total of 11 articles met inclusion criteria. Music interventions significantly improved global cognitive function, verbal fluency, executive function, and spatial function in older adults with MCI. Included studies were heterogeneous in terms of the type of intervention, cognitive assessment tool, and intervention duration. Six studies were at risk of bias due to missing data and confounding factors. Our findings suggest that music interventions can be an effective strategy to improve cognitive function for older adults with MCI. However, findings should be interpreted with caution. More rigorous studies with various types of music interventions investigating cognitive domain-specific effects are needed. [Research in Gerontological Nursing, 16(5), 259-268.].

The role of cognitive rehabilitation in people with type 2 diabetes: A study protocol for a randomized controlled trial.

Today, the prevalence of cognitive dysfunction and the prevalence of diabetes are increasing. Research shows that diabetes increases cognitive impairment risk, and cognitive impairment makes diabetes self-management more challenging. Diabetes self-management, essential to good glycemic control, requires patients to assimilate knowledge about their complex disease and to engage in activities such as glucose self-monitoring and the management of their medications. To test a comprehensive cognitive rehabilitation intervention-the Memory, Attention, and Problem-Solving Skills for Persons with Diabetes (MAPSS-DM) program. Our central hypothesis is that participants who take part in the MAPSS-DM intervention will have improved memory and executive function, increased use of compensatory cognitive skills, and improved self-management. We will also explore the role of glucose variability in those changes. This is a randomized controlled trial. Sixty-six participants with cognitive concerns and type 2 diabetes will be assigned to either the full MAPSS-DM intervention or an active control. Participants will use continuous glucose monitoring pre- and post-intervention to identify changes in glycemic variability. All participants will also be evaluated systematically via questionnaires and neuropsychological tests at three timepoints: baseline, immediately post-intervention, and 3 months post-intervention. This study will fill an important gap by addressing cognitive function in the management of diabetes. Diabetes is related to accelerated cognitive aging, cognitive deficits are related to poorer self-management, and improvements in cognitive performance as a result of cognitive rehabilitation can translate into improved performance in everyday life and, potentially, diabetes self-management. The results of the proposed study will therefore potentially inform strategies to support cognitive function and diabetes self-management, as well as offer new mechanistic insights into cognitive function through the use of continuous glucose monitoring. Trial registration: This study has been registered at ClinicalTrials.gov (NCT04831775).

A Text-Mining Analysis to Examine Dominant Sources of Online Information and Content on Continuous Glucose Monitors.

PURPOSE: The purpose of this study is to use text-mining methods to examine the dominant sources of online information and content about continuous glucose monitors (CGMs). Because the internet is the most popular source for health information, it is important to understand what is being said about CGMs in online sources of information. METHODS: A text miner, algorithmic-driven statistical program was used to identify the main sources of online information and topics on CGMs. Content was limited to English and was posted from August 1, 2020, to August 4, 2022. Using Brandwatch software, 17 940 messages were identified. After cleaning, there were 10 677 messages in final analyses conducted using SAS Text Miner V.12.1 software. RESULTS: The analysis identified 20 topics that formed 7 themes. Results show that most online information comes from news sources and focuses on the general benefits of CGM use. Beneficial aspects ranged from improvements in self-management behaviors, cost, and glucose levels. None of the themes mentioned changes to practice, research, or policies related to CGM. CONCLUSIONS: To improve diffusion of information and innovations going forward, novel ways of information sharing should be explored, such as diabetes specialist, provider, and researcher engagement in social media and digital storytelling.

The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study.

Latinx adults with both cognitive dysfunction and type 2 diabetes mellitus (T2DM) are significantly more likely than Latinx adults with diabetes alone to have complications such as cardiovascular disease. Glucose variability may be a risk for dementia, but the course of glucose variability in the time before a dementia diagnosis for Latinx adults with T2DM has not been examined. We used a 10-year retrospective cohort of medical records of Latinx patients with T2DM who had at least one use of a continuous glucose monitor. The objective was to examine how glucose variability was associated with future dementia diagnoses. A total of 116 charts were included. Mean of daily differences and mean amplitude of glycemic excursions were more strongly associated with dementia diagnoses than other variability indices (p < .01). Understanding the relationships between cognitive function, glucose variability, and barriers to health care can translate into improved interventions to enhance diabetes care.

Relationships Among Perception of Cognitive Function, Diabetes Self-Management, and Glucose Variability in Older Adults: A Mixed Methods Study.

The aim of the current study was to explore relationships among perceived cognitive function, glucose variability, and self-management in older adults with type 2 diabetes mellitus (T2DM). A mixed methods design was used with data from: (a) questionnaires on perceived cognitive function and diabetes self-management; (b) continuous glucose monitoring (CGM) reports; and (c) semi-structured interviews. Thirty adults with T2DM (47% female; mean age = 68.5 [SD = 5.2] years) participated. Those who exercised more days per week had more stable glucose. Those who reported fewer days of diet adherence had more hypoglycemia. Participants who reported higher levels of memory dissatisfaction exhibited higher levels of glucose variability. Findings point to the potential of glucose variability as a target to reduce the effect of diabetes on cognitive function. Instruction in recognition of glucose patterns found via CGM can be integrated into self-management education to improve self-management and subsequent glucose control and cognitive function. [Research in Gerontological Nursing, 15(4), 203-212.].

Self-Reported Cognitive Function in Persons with Nonneurological Chronic Diseases: A Systematic Review.

Background: Globally, one in three adults has a chronic condition. Many chronic diseases that are not neurological in nature (e.g., diabetes and heart failure) are increasingly associated with cognitive symptoms. However, the instruments used to assess cognitive symptoms in those with nonneurologic chronic illness are heterogeneous, and questions remain as to how cognitive symptoms may be related to demographic and clinical outcome variables, neurocognitive test performance, and other patient-reported outcomes. In this review, we describe associations among self-reported cognitive function, cognitive performance, and additional patient-reported outcomes as well as how cognitive symptoms are measured in nonneurologic chronic illness. Method: Multiple databases (PubMed, Medline, CINAHL, PsycInfo, EMBASE, SCOPUS, the Cochrane Library, and Academic Search Complete) were searched for studies from 1990 to 2020 that provided data on self-reported cognitive symptoms in those with nonneurological chronic conditions. Initial search yielded 304 articles, of which 32 met inclusion criteria. Quality assessment was conducted using the Critical Appraisal Skills Programme. Results: Thirty-two total studies were included: twenty cross-sectional, 10 longitudinal, and 2 randomized controlled trials. The tools used to assess self-reported cognitive function in the studies were heterogeneous: 28 unique tools were used. Thirty studies examined associations among self-reported cognitive function and other patient-reported outcomes. In 19 there were significant associations. Six studies showed no significant associations between neuropsychological tests and self-reported cognitive function; another 6 studies found a significant association. Conclusion: Tools to assess cognitive symptoms were heterogeneous. In most studies, self-reported cognitive symptoms were not correlated with neuropsychological test results, but the majority of studies found a strong association between self-reported cognitive function and other patient-reported outcomes. Implications. Consensus on measuring cognitive symptoms would facilitate cross-study comparisons and facilitate scientific progress in those with nonneurological chronic conditions. Based on these results, there is a need to establish a standardized approach for self-reported cognitive function measurement in patients with nonneurologic chronic illness.

Factors affecting cognitive dysfunction screening for Latinx adults with type 2 diabetes.

Aim: To examine influences on screening of Latinx adults with type 2 diabetes for cognitive problems by identifying patient-, clinician-, and clinic-level factors. Methods: This was a mixed methods study consisting of semi-structured interviews with Latinx adults with type 2 diabetes (n = 30; mean age = 68; 57% Mexican American) and surveys and interviews with health care providers (n = 15) in Central Texas. Data were examined with thematic analysis (interviews) and descriptive statistics (surveys and inventories). Results: For the interviewed patients, screening was important, but inability to work related to a possible diagnosis of dementia was a concern. Both providers and patients agreed that other health issues (e.g., hyperglycemia) took precedence over cognitive screening. Providers (96.7%) were expected to screen patients but lacked clinic support and time; they relied on patients for initial prompts. Only one clinic required staff education on cognitive screening, with an emphasis on potential cultural differences in test results and adequate resources related to dementia for Latinx adults. Conclusions: Clinics serving Latinx adults have a responsibility to deliver appropriate care. Leadership should consider innovative practices such as the creation, with patients, of educational materials for screening-a need highlighted by most participants.

Self-management of the Dual Diagnosis of HIV/AIDS and Diabetes During COVID-19: A Qualitative Study.

The purpose of this qualitative secondary analysis research was to describe the impact of the COVID-19 pandemic on self-management behaviors and practices for people living with the dual diagnoses of HIV/AIDS and type 2 diabetes mellitus and to identify early pandemic-specific disruptions or changes to their self-management practices. In-depth interviews conducted in May-June 2020 with 9 participants, and analyzed using content analysis, revealed 5 themes: adjusting to living with HIV/AIDS and diabetes impacts beliefs about COVID-19 risks; COVID-19 information seeking and accuracy; trade-offs in self-managing multiple chronic conditions; balance between safety, relationships, and the society at large; and discordant perceptions and actions. Some participants were resilient from previous experiences. Many received mixed messages about their risk for COVID-19, resulting in inaccurately or inconsistently applying guidelines for social isolation.

Predictors of Subjective Cognitive Decline Among People With Diabetes: Data From the Behavioral Risk Factor Surveillance System.

PURPOSE: The purpose of this study was to examine the prevalence of subjective cognitive decline (SCD) and SCD-related functional limitations among people with diabetes and to identify socioeconomic and comorbidity risk factors associated with SCD. METHODS: This study analyzed data from the 2017 Behavioral Risk Factor Surveillance System (BRFSS) with background variables (race, gender, education, and age), health-related factors (self-rated health, BMI, insurance, and comorbid conditions), and health behaviors (smoking, exercise, alcohol consumption) entered simultaneously to estimate logistic regression models of SCD. RESULTS: Within the sample (n = 5263 adults with diabetes), 48% were age ≥65 years; 50% were male; 55% were non-Hispanic White; and of the 15% who reported having SCD, 57% had functional limitations. Increased odds of reporting SCD were observed among individuals who were Hispanic (odds ratio [OR] = 2.21, P < .001), male (OR = 1.47, P < .01), depressed (OR = 3.85, P < .001), or had arthritis (OR = 1.43, P < .03). Participants with better self-rated health had a reduced likelihood of SCD (OR = 0.51, P < .001). CONCLUSIONS: Health care providers should assess high-risk patients for self-rated cognitive dysfunction and offer early interventions.

A systematic review and meta-analysis of patient activation in people living with chronic conditions.

OBJECTIVE: The objectives of this review are to (1) describe the state of the science of patient activation interventions for the self-management of chronic conditions; (2) identify effective intervention elements for improving patient activation; and (3) compare intervention effectiveness across chronic conditions. METHODS: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA). PubMed, CINAHL, and Web of Science databases were searched. RESULTS: Thirty-two articles published between 2005 and 2019 were identified with intervention elements of self-management, disease management, and education. Meta-analysis of a subset of seven randomized controlled trials (n = 7) that used the 13-item version of the Patient Activation Measure with data collection points at 6 months demonstrated that patient activation did not change significantly in comparison with controls (MD = 0.25, 95 % CI = 0.02-0.47). CONCLUSION: Most interventions reported significant improvement in patient activation and were linked to tasks such as regular exercise and monitoring glucose. However, the meta-analysis of RCTs did not confirm these findings. PRACTICE IMPLICATIONS: Patient activation can be assessed and addressed uniformly across all chronic conditions to improve patient engagement in care.

Nurse-Talk Ratios as a Measure of Participation in a Cognitive Rehabilitation Intervention for People With Type 2 Diabetes.

BACKGROUND: Comprehensive cognitive rehabilitation teaches strategies to enhance strengths and has been used by nurses to target cognitive problems in chronic conditions. However, to date, no evaluations of web-based cognitive rehabilitation, based in empowerment theory, specifically for people with type 2 diabetes (T2DM), have been done. PURPOSE: The purpose of this study was to analyze a cognitive rehabilitation intervention for people with T2DM, using qualitative content analysis and 10-second event coding to determine to what extent the classes reflected empowerment theory. METHODS: Nineteen adults with T2DM and two nurses participated in an 8-week intervention that combined webinar classes with online home-based computer training. Classes were audio recorded and 10-second event coding was used to calculate nurse-talk ratios. Transcripts were examined using content analysis and compared with the talk ratios. RESULTS: Talk ratios ranged from 40% to 74% for each class. Qualitative themes included (a) importance of goal setting; (b) pairing cognitive strategies with diabetes self-management; (c) experience and information sharing; and (d) validation by healthcare providers. Positive participant outcomes related to empowerment were associated with low nurse-talk ratios in some classes. However, high nurse-talk ratios were associated with factual content that participants also considered valuable. IMPLICATIONS FOR PRACTICE: Talk ratios did not completely reflect the communication skills of the nurse. The 10-second method should be applied to other educational interventions in combination with qualitative analysis. Future interventions should include components of discourse evaluation and examinations of relationships to adherence and clinical outcomes.