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Cuevas H, Stuifbergen AK, Hilsabeck R, Kim J, Wood S. Perceived Cognitive Function and Glycemic Variability: Baseline Results From a Cognitive Rehabilitation Intervention. Sci Diabetes Self Manag Care 2024; 50:310-319. [PMID: 39044609 PMCID: PMC11344960 DOI: 10.1177/26350106241262720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
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.
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Affiliation(s)
| | | | - Robin Hilsabeck
- The University of Texas Health Science Center at San Antonio, Texas
| | - Jeeyeon Kim
- The University of Texas at Austin, Austin, Texas
| | - Shenell Wood
- The University of Texas at Austin, Austin, Texas
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Wei B, Dong Q, Ma J, Zhang A. The association between triglyceride-glucose index and cognitive function in nondiabetic elderly: NHANES 2011-2014. Lipids Health Dis 2023; 22:188. [PMID: 37932783 PMCID: PMC10629120 DOI: 10.1186/s12944-023-01959-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 10/31/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND The relationship between Insulin resistance (IR) evaluated through homeostasis model assessment insulin resistance (HOMA-IR) and cognitive function is controversial among nondiabetic individuals. No study so far has reported the association between the IR evaluated through triglyceride glucose (TyG) index and cognitive function among nondiabetics. This study aims to assess this association among US nondiabetic older elderly. METHODS Data were obtained from the 2011-2014 National Health and Nutrition Examination Survey (NHANES). Low cognitive function was evaluated using the Consortium to Establish a Registry for Alzheimer's Disease Battery for immediate word list learning (CERAD-WL) and delayed recall (CERAD-DR) test, the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST). Logistic regression analyses were conducted to compute the odds ratio (OR) and 95% confidential interval (CI) to examine the association between the TyG index (continuous and quartiles) and low cognitive function. RESULTS A total of 661 nondiabetic older adults were included with a mean age of 68.62 ± 6.49 years. Compared to the 1st quartile of the TyG index, participants in the TyG index 4th quartile were associated with low cognitive function evaluated through the CERAD test (CERAD-WL and CERAD-DR) [OR: 2.62; 95% CI (1.31, 5.23); P < 0.05]. Subgroup analyses showed that females (ORQ4 VS Q1: 3.07; 95% CI (1.04, 9.05); P < 0.05) and smokers (OR Q4 VS Q1: 2.70; 95% CI (1.01, 7.26); P < 0.05) categories were related with a higher risk of low cognitive function. CONCLUSIONS A high TyG index was strongly correlated with low cognitive function evaluated through the CERAD test (CERAD-WL and CERAD-DR) among US nondiabetic older women. The management of IR in women might be beneficial to primarily prevent low cognitive function among nondiabetic older elderly.
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Affiliation(s)
- Baojian Wei
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, No.619 Changcheng Road, Daiyue District, Taian, 271000, China
| | - Qianni Dong
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, No.619 Changcheng Road, Daiyue District, Taian, 271000, China
| | - Jinlong Ma
- School of Nursing, Yanbian University, Yanji, China
| | - Aihua Zhang
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, No.619 Changcheng Road, Daiyue District, Taian, 271000, China.
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Todd S, Reagan L, Laguerre R. Health Literacy, Cognitive Impairment, and Diabetes Knowledge Among Incarcerated Persons Transitioning to the Community: Considerations for Intervention Development. JOURNAL OF FORENSIC NURSING 2023; 19:262-270. [PMID: 35482339 DOI: 10.1097/jfn.0000000000000396] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE The purpose of this study was to evaluate the relationships of health literacy (HL; Short Test of Functional Health Literacy), cognitive impairment (CI), and diabetes knowledge (DK) among incarcerated persons transitioning to the community. METHODS Using preintervention data from a quasi-experimental nonequivalent control group study evaluating the feasibility of a six-session literacy-tailored Diabetes Survival Skills intervention for incarcerated men transitioning to the community, we conducted correlational analyses among the Short Test of Functional Health Literacy, Montreal Cognitive Assessment, and Spoken Knowledge in Low Literacy in Diabetes Scale using the SPSS PROCESS macro and bias-corrected bootstrapping to test the meditational hypothesis: HL mediates the relationship between CI and DK. RESULTS Participants ( N = 73) were incarcerated for 1-30 years with a mean age of 47 (9.9) years, 40% Black, 19% White, and 30% Hispanic, with 78% having high school/GED or less education. Most (70%) screened positive for CI and had low DK, and 20% had marginal or inadequate HL. HL, CI, and DK were positively associated with each other. Controlling for race, age, and group (control/experimental), cognitive function had a significant direct effect on HL ( b = 0.866, p = 0.0003) but not on DK ( b = 0.119, p = 0.076). Results indicated a significant indirect effect of cognitive functioning on DK via HL, 95% confidence interval [0.300, 0.1882]. CONCLUSION Intervention approaches aimed at increasing HL or tailored to low HL in the presence of CI may be effective in increasing DK in this population. IMPLICATIONS Given the low risk to high benefit of implementing literacy-tailored approaches to persons in prison and the population demographics from studies supporting a high degree of CI, nurses should consider implementing literacy-tailored approaches and screening for CI before participation in all educational programs.
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Affiliation(s)
| | | | - Rick Laguerre
- Department of Psychological Sciences, University of Connecticut
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Chen HM, Huang CN, Lin RT, Su BY. The impact of neuropsychological functions on self-care/self-management of type 2 diabetes in middle-aged people: a scoping review and meta-analysis. Expert Rev Endocrinol Metab 2023; 18:525-540. [PMID: 37815866 DOI: 10.1080/17446651.2023.2268171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/04/2023] [Indexed: 10/12/2023]
Abstract
INTRODUCTION This study aimed to investigate the impact of neuropsychological functions on self-care/self-management in middle-aged individuals with type 2 diabetes (T2DM). AREAS COVERED A comprehensive literature search was conducted from January 2012 to April 2023 across multiple databases. Ten articles were included in the scoping review, and 3 articles were included in the meta-analysis. The findings consistently indicated an association between reduced neuropsychological functions and poor self-care/self-management in this population. Memory functions, executive functions, and other domains were found to be significantly related to self-care/self-management, including diet management, exercise, blood glucose monitoring, and foot care. EXPERT OPINION This study highlights the importance of considering neuropsychological factors in understanding and improving diabetes management outcomes. The findings underscore the need for comprehensive neuropsychological assessments and the development of targeted interventions to address specific vulnerable domains. Future research should focus on elucidating underlying mechanisms, addressing methodological inconsistencies, and exploring the effectiveness of interventions targeting neuropsychological impairments. Incorporating technology and personalized approaches into diabetes management can enhance self-care/self-management and clinical outcomes in individuals with T2DM.
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Affiliation(s)
- Hsiao-Mei Chen
- Department of Nursing, Chung Shan Medical University, Taichung, Taiwan
- Department of Nursing, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chien-Ning Huang
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Ro-Ting Lin
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan
| | - Bei-Yi Su
- Department of Psychology, Chung-Shan Medical University, Taichung, Taiwan
- Clinical Psychological Room, Chung Shan Medical University Hospital, Taichung, Taiwan
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Beverly EA, Love C, Love M, Lammert L, Bowditch J. Cinematic Virtual Reality for Educating Health Care Providers About Type 2 Diabetes, Disability, and Elder Abuse and Neglect: A Pilot Study. J Diabetes Sci Technol 2023; 17:1160-1171. [PMID: 37114917 PMCID: PMC10563529 DOI: 10.1177/19322968231171586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
BACKGROUND Diabetes care for older adults is complex and must consider geriatric syndromes, disability, and elder abuse and neglect. Health care providers would benefit from professional training programs that emphasize these risks. One new educational approach is cinematic virtual reality (cine-VR). We conducted a pilot study to evaluate a cine-VR training program based on an older patient with type 2 diabetes and multiple geriatric syndromes who is at risk for elder abuse and neglect. METHODS We employed a single-arm, pre-post-test study to assess changes in attitudes to disability and self-efficacy in identifying and managing elder abuse and neglect. RESULTS Thirty health care providers completed the pilot study (83.3% women, 86.7% white, 56.7% physicians, 43.4% practiced in outpatient clinics). We observed change in attitudes toward discrimination (Z = -2.628, P = .009, Cohen's d = .62). In addition, we observed changes in six of the eight self-efficacy items, including how participants would ask questions about abuse (Z = -3.221, P = .001, Cohen's d = .59) and helping an older patient make a report to the police or social services (Z = -2.087, P = .037, Cohen's d = .52). In addition, we observed positive changes in understanding the documentation needed to complete whether a patient reports abuse (Z = -3.598, P < .001) as well as the legal knowledge for how to report elder abuse and neglect (Z = -2.556, P = .011). CONCLUSION Findings from this pilot study suggest that cine-VR training may increase health care providers' awareness of discrimination and improve self-efficacy toward identifying and managing elder abuse and neglect. Research with a proper control condition is needed to confirm its effectiveness.
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Affiliation(s)
- Elizabeth A. Beverly
- Department of Primary Care, Heritage
College of Osteopathic Medicine, Ohio University, Athens, OH, USA
- Diabetes Institute, Ohio University,
Athens, OH, USA
| | - Carrie Love
- Department of Primary Care, Heritage
College of Osteopathic Medicine, Ohio University, Athens, OH, USA
| | - Matthew Love
- J. Warren McClure School of Emerging
Communication Technologies, Ohio University, Athens, OH, USA
- Game Research and Immersive Design
(GRID) Lab, Ohio University, Athens, OH, USA
| | - Lori Lammert
- Department of Primary Care, Heritage
College of Osteopathic Medicine, Ohio University, Athens, OH, USA
- Diabetes Institute, Ohio University,
Athens, OH, USA
| | - John Bowditch
- J. Warren McClure School of Emerging
Communication Technologies, Ohio University, Athens, OH, USA
- Game Research and Immersive Design
(GRID) Lab, Ohio University, Athens, OH, USA
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Cuevas H, Muñoz E, Nagireddy D, Kim J, Ganucheau G, Alomoush F. The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study. Clin Nurs Res 2023; 32:249-255. [PMID: 36472225 DOI: 10.1177/10547738221141232] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
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.
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Affiliation(s)
- Heather Cuevas
- The University of Texas at Austin, School of Nursing, USA
| | - Elizabeth Muñoz
- The University of Texas at Austin, College of Natural Sciences, USA
| | - Divya Nagireddy
- The University of Texas at Austin, College of Natural Sciences, USA
| | - Jeeyeon Kim
- The University of Texas at Austin, School of Nursing, USA
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Cognitive Function and Self-Management Behaviors in Older Adults With Type 2 Diabetes. Nurs Res 2023; 72:38-48. [PMID: 36097261 DOI: 10.1097/nnr.0000000000000624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Type 2 diabetes (T2D) is strongly associated with cognitive impairment. Decreased cognitive function could affect daily self-management behaviors critical for people with T2D. Executive function is significant for daily self-management, and decreased subjective cognitive function could be an early indicator of poor daily self-management. However, little is known about whether executive or subjective cognitive function affects daily self-management behaviors in older adults. OBJECTIVES We investigated the effect of executive function or subjective cognitive function on daily self-management behaviors (diet, glucose management, physical activity, and physician contact) in older adults with T2D. METHODS We used a cross-sectional, observational design with convenience sampling of 84 adults aged ≥60 years with T2D. Telephone-administered cognitive function tests measured participants' overall cognitive and executive function levels. Subjective cognitive function, diabetes self-management, and covariates, including demographic information (age, gender, race/ethnicity, and level of education), body mass index, depressive symptoms, and diabetes duration, were assessed using online surveys. Data were analyzed using bivariate correlation and backward stepwise regression. RESULTS The mean age of the sample was 68.46 ± 5.41 years. Participants were predominantly female and White, and the majority had normal cognitive function. Controlling for demographics, body mass index, depressive symptoms, and diabetes duration, a decrease in executive function indicated by a greater number of errors made during the telephone-administered Oral Trail Making Test Part B relative to the sample was associated with poorer adherence to physician contact behaviors. Subjective cognitive function was not associated with any self-management behaviors. DISCUSSION A reduction in executive function was associated with poorer adherence to physician contact behaviors in older adults with T2D and normal cognitive function; lack of adherence to physician contact behaviors could be an early indicator of declining cognitive function. Difficulties or changes in routine diabetes self-management behaviors should be closely monitored in older adults. Cognitive assessment should be followed when needed.
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Ajuwon AM, Insel K. Health literacy, illness perception, depression, and self-management among African Americans with type 2 diabetes. J Am Assoc Nurse Pract 2022; 34:1066-1074. [PMID: 35944227 DOI: 10.1097/jxx.0000000000000763] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/30/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) causes significant morbidity and mortality. Compared with non-Hispanic Whites, African Americans are more likely to suffer and die from T2DM. PURPOSE This study examines the associations between health literacy, illness perception, depression, working memory, executive function, and self-management among African Americans (18-65 years) with T2DM. METHODOLOGY A descriptive cross-sectional design was used. Data were collected through Research Electronic Data Capture and transferred to the Statistical Package for the Social Sciences software version 26 for statistical analysis. Fifty-three participants met study eligibility criteria. RESULTS Health literacy was associated with depression ( r = -0.433, p = .003), more concerns about illness ( r = -0.357, p = .02), and better medication adherence ( r = 0.487, p = .001). Higher levels of depression were inversely associated with medication adherence ( r = -0.449, p = .002; r = 0.449, p = .003). Higher concern about illness was associated with lower medication adherence ( r = -0.414, p = .005). CONCLUSIONS Lower health literacy coupled with illness perception and depression is associated with lower self-management behaviors among African Americans which can lead to complications of T2DM. More studies are needed to examine the association of cognitive factors with self-management activities among African Americans with T2DM. IMPLICATIONS Limited health literacy is associated with lower medication adherence among African Americans with T2DM. Illness perception is a significant factor that influences self-management of T2DM among African Americans. Using screening tools that assess health literacy and illness perception may address underlying concerns regarding adherence to T2DM treatment regimens in African Americans.
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Affiliation(s)
| | - Kathleen Insel
- University of Arizona, College of Nursing, Tucson, Arizona
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Huang YC, Cuevas HE, Zuñiga JA, García AA. Predictors of Subjective Cognitive Decline Among People With Diabetes: Data From the Behavioral Risk Factor Surveillance System. Sci Diabetes Self Manag Care 2021; 47:207-215. [PMID: 34000913 DOI: 10.1177/26350106211001761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
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.
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Affiliation(s)
- Ya-Ching Huang
- St. David's School of Nursing, Texas State University, Round Rock, Texas
| | - Heather E Cuevas
- School of Nursing, The University of Texas at Austin, Austin, Texas
| | - Julie A Zuñiga
- School of Nursing, The University of Texas at Austin, Austin, Texas
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Kim MJ, Fritschi C. Relationships Between Cognitive Impairment and Self-Management in Older Adults With Type 2 Diabetes: An Integrative Review. Res Gerontol Nurs 2020; 14:104-112. [PMID: 33306809 DOI: 10.3928/19404921-20201117-01] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Cognitive impairment is common in older adults with diabetes and is likely to negatively affect their daily diabetes self-management behaviors (DSMB). The primary aim of this integrative review was to summarize and synthesize the current state of knowledge about relationships between cognitive impairment and DSMB in older adults with type 2 diabetes. The review was guided by Whittemore and Knafl's 2005 framework, and study quality was evaluated using the Crowe Critical Appraisal Tool. Of 27 studies reviewed, 24 were quantitative, and three were qualitative. Heterogeneity was noted in study design, participant characteristics, and measures of cognitive function and DSMB. Overall, global cognitive impairment and executive function impairment related particularly to poor medication management and glucose self-monitoring. The findings supported the need for routine cognitive assessment of older adults with diabetes, but more longitudinal and interventional studies are needed to better define cognitive impairment-DSMB relationships. [Research in Gerontological Nursing, 14(2), 104-112.].
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Cuevas HE, Stuifbergen AK, Brown SA. Targeting cognitive function: Development of a cognitive training intervention for diabetes. Int J Nurs Pract 2020; 26:e12825. [PMID: 32030848 PMCID: PMC8591878 DOI: 10.1111/ijn.12825] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 11/06/2018] [Accepted: 01/25/2020] [Indexed: 12/22/2022]
Abstract
AIM The aim of this project was to develop and demonstrate the feasibility of a comprehensive cognitive training intervention to build self-efficacy for implementation of cognitive strategies in people with diabetes. BACKGROUND People with diabetes are at greater risk than the general population for developing cognitive dysfunction. Some attention has been paid to the effect of cognitive impairments on diabetes self-management, but even when cognitive problems have been identified, few interventions have been tailored for those with diabetes. METHODS The intervention combines in-person classes and home-based online computer training. Development, in 2017, included (a) adaptation of prior established, tested interventions; (b) interviews with stakeholders; and (c) integration of course content. RESULTS Information provided by the stakeholders was used to modify an existing intervention to meet the needs of people with diabetes so that feasibility testing could occur. Despite initial difficulty with recruitment, the intervention was found to be feasible, and nineteen participants found it to be acceptable. CONCLUSION This comprehensive cognitive training intervention targeting type 2 diabetes and cognitive dysfunction demonstrates that existing interventions can be adapted for use with people with diabetes.
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Affiliation(s)
- Heather E Cuevas
- School of Nursing, The University of Texas at Austin, Austin, Texas, USA
| | | | - Sharon A Brown
- School of Nursing, The University of Texas at Austin, Austin, Texas, USA
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Cuevas H, Carter S. Online Cognitive Training: An Adaptation of the Memory, Attention, and Problem Solving Skills for Persons With Diabetes Intervention. Comput Inform Nurs 2020; 39:162-169. [PMID: 32769625 DOI: 10.1097/cin.0000000000000663] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Research shows the risk for cognitive impairment and the rate of cognitive decline double after type 2 diabetes mellitus is diagnosed and can make self-management more difficult. Cognitive training has been found to be one way to improve self-management and cognitive function, and this article reports the adaptation of one such intervention to an online format. Ten adults with diabetes participated in an 8-week intervention that combined webinar classes with online computer game training. Perceived memory ability, executive function, self-management, and self-efficacy were measured. Evaluation of recruitment, data collection, and implementation demonstrated good feasibility and reduced barriers to engagement. Although the intervention did not result in significant changes in cognitive function, scores on all surveys improved. Adherence to diet, exercise, and foot care recommendations also improved. Most participants stated they preferred the intervention's online format to "traditional" in-person formats. Online technology in this 8-week intervention helped improve recruitment, retention, participant engagement, and use of cognitive strategies in people with type 2 diabetes mellitus. Overall, participants found the intervention helpful and said it reduced the time and travel burden associated with educational interventions. A larger randomized controlled trial is needed to further explore the intervention's potential impact over a longer period.
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Affiliation(s)
- Heather Cuevas
- Author Affiliations : School of Nursing, The University of Texas at Austin, Texas
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Zghebi SS, Mamas MA, Ashcroft DM, Salisbury C, Mallen CD, Chew-Graham CA, Reeves D, Van Marwijk H, Qureshi N, Weng S, Holt T, Buchan I, Peek N, Giles S, Rutter MK, Kontopantelis E. Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study. BMJ Open Diabetes Res Care 2020; 8:8/1/e000962. [PMID: 32385076 PMCID: PMC7228474 DOI: 10.1136/bmjdrc-2019-000962] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 03/05/2020] [Accepted: 03/12/2020] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Clinically applicable diabetes severity measures are lacking, with no previous studies comparing their predictive value with glycated hemoglobin (HbA1c). We developed and validated a type 2 diabetes severity score (the DIabetes Severity SCOre, DISSCO) and evaluated its association with risks of hospitalization and mortality, assessing its additional risk information to sociodemographic factors and HbA1c. RESEARCH DESIGN AND METHODS We used UK primary and secondary care data for 139 626 individuals with type 2 diabetes between 2007 and 2017, aged ≥35 years, and registered in general practices in England. The study cohort was randomly divided into a training cohort (n=111 748, 80%) to develop the severity tool and a validation cohort (n=27 878). We developed baseline and longitudinal severity scores using 34 diabetes-related domains. Cox regression models (adjusted for age, gender, ethnicity, deprivation, and HbA1c) were used for primary (all-cause mortality) and secondary (hospitalization due to any cause, diabetes, hypoglycemia, or cardiovascular disease or procedures) outcomes. Likelihood ratio (LR) tests were fitted to assess the significance of adding DISSCO to the sociodemographics and HbA1c models. RESULTS A total of 139 626 patients registered in 400 general practices, aged 63±12 years were included, 45% of whom were women, 83% were White, and 18% were from deprived areas. The mean baseline severity score was 1.3±2.0. Overall, 27 362 (20%) people died and 99 951 (72%) had ≥1 hospitalization. In the training cohort, a one-unit increase in baseline DISSCO was associated with higher hazard of mortality (HR: 1.14, 95% CI 1.13 to 1.15, area under the receiver operating characteristics curve (AUROC)=0.76) and cardiovascular hospitalization (HR: 1.45, 95% CI 1.43 to 1.46, AUROC=0.73). The LR tests showed that adding DISSCO to sociodemographic variables significantly improved the predictive value of survival models, outperforming the added value of HbA1c for all outcomes. Findings were consistent in the validation cohort. CONCLUSIONS Higher levels of DISSCO are associated with higher risks for hospital admissions and mortality. The new severity score had higher predictive value than the proxy used in clinical practice, HbA1c. This reproducible algorithm can help practitioners stratify clinical care of patients with type 2 diabetes.
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Affiliation(s)
- Salwa S Zghebi
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Mamas A Mamas
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Keele Cardiovascular Research Group, Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Stoke-on-Trent, UK
| | - Darren M Ashcroft
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Chris Salisbury
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christian D Mallen
- School of Primary, Community and Social Care, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, UK
| | - Carolyn A Chew-Graham
- School of Primary, Community and Social Care, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, UK
| | - David Reeves
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Harm Van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Sussex, Falmer, UK
| | - Nadeem Qureshi
- Primary Care Stratified Medicine (PRISM) Research Group, Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Stephen Weng
- Primary Care Stratified Medicine (PRISM) Research Group, Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Tim Holt
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Iain Buchan
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Institute of Population Health, University of Liverpool, Liverpool, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Niels Peek
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Sally Giles
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
| | - Martin K Rutter
- Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Evangelos Kontopantelis
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
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14
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Cuevas H, Zuñiga J. Latinx with Type 2 Diabetes: Perceptions of Cognitive Health. J Immigr Minor Health 2020; 23:337-343. [DOI: 10.1007/s10903-020-00995-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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Mattei J, Bigornia SJ, Sotos-Prieto M, Scott T, Gao X, Tucker KL. The Mediterranean Diet and 2-Year Change in Cognitive Function by Status of Type 2 Diabetes and Glycemic Control. Diabetes Care 2019; 42:1372-1379. [PMID: 31123154 PMCID: PMC6647047 DOI: 10.2337/dc19-0130] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 04/29/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine associations of a Mediterranean diet score (MeDS) with 2-year change in cognitive function by type 2 diabetes and glycemic control status and contrast it against other diet quality scores. RESEARCH DESIGN AND METHODS We used data from the longitudinal Boston Puerto Rican Health Study (n = 913; 42.6% with type 2 diabetes at 2 years). Glycemic control at baseline was categorized as uncontrolled (hemoglobin A1c ≥7% [53 mmol/mol]) versus controlled. Two-year change in glycemic control was defined as stable/improved versus poor/declined. We defined MeDS, Healthy Eating Index, Alternate Healthy Eating Index, and Dietary Approaches to Stop Hypertension scores. Adjusted mixed linear models assessed 2-year change in global cognitive function z score, executive and memory function, and nine individual cognitive tests. RESULTS Higher MeDS, but no other diet quality score, was associated with higher 2-year change in global cognitive function in adults with type 2 diabetes (β ± SE = 0.027 ± 0.011; P = 0.016) but not in those without (P = 0.80). Similar results were noted for Mini-Mental State Examination, word recognition, digit span, and clock drawing tests. Results remained consistent for individuals under glycemic control at baseline (0.062 ± 0.020; P = 0.004) and stable/improved over 2 years (0.053 ± 0.019; P = 0.007), but not for individuals with uncontrolled or poor/declined glycemic control. All diet quality scores were associated with higher 2-year memory function in adults without type 2 diabetes. CONCLUSIONS Both adhering to a Mediterranean diet and effectively managing type 2 diabetes may support optimal cognitive function. Healthy diets, in general, can help improve memory function among adults without type 2 diabetes.
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Affiliation(s)
- Josiemer Mattei
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sherman J Bigornia
- Department of Agriculture, Nutrition, and Food Systems, University of New Hampshire, Durham, NH
| | - Mercedes Sotos-Prieto
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Division of Food and Nutrition Sciences, and Diabetes Institute, Ohio University, Athens, OH
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Tammy Scott
- Neuroscience and Aging Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Boston, MA
| | - Xiang Gao
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA
| | - Katherine L Tucker
- Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, MA
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Zghebi SS, Panagioti M, Rutter MK, Ashcroft DM, van Marwijk H, Salisbury C, Chew-Graham CA, Buchan I, Qureshi N, Peek N, Mallen C, Mamas M, Kontopantelis E. Assessing the severity of Type 2 diabetes using clinical data-based measures: a systematic review. Diabet Med 2019; 36:688-701. [PMID: 30672017 DOI: 10.1111/dme.13905] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/21/2019] [Indexed: 01/11/2023]
Abstract
AIMS To identify and critically appraise measures that use clinical data to grade the severity of Type 2 diabetes. METHODS We searched MEDLINE, Embase and PubMed between inception and June 2018. Studies reporting on clinical data-based diabetes-specific severity measures in adults with Type 2 diabetes were included. We excluded studies conducted solely in participants with other types of diabetes. After independent screening, the characteristics of the eligible measures including design and severity domains, the clinical utility of developed measures, and the relationship between severity levels and health-related outcomes were assessed. RESULTS We identified 6798 studies, of which 17 studies reporting 18 different severity measures (32 314 participants in 17 countries) were included: a diabetes severity index (eight studies, 44%); severity categories (seven studies, 39%); complication count (two studies, 11%); and a severity checklist (one study, 6%). Nearly 89% of the measures included diabetes-related complications and/or glycaemic control indicators. Two of the severity measures were validated in a separate study population. More severe diabetes was associated with increased healthcare costs, poorer cognitive function and significantly greater risks of hospitalization and mortality. The identified measures differed greatly in terms of the included domains. One study reported on the use of a severity measure prospectively. CONCLUSIONS Health records are suitable for assessment of diabetes severity; however, the clinical uptake of existing measures is limited. The need to advance this research area is fundamental as higher levels of diabetes severity are associated with greater risks of adverse outcomes. Diabetes severity assessment could help identify people requiring targeted and intensive therapies and provide a major benchmark for efficient healthcare services.
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Affiliation(s)
- S S Zghebi
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
| | - M Panagioti
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
| | - M K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
- Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester, Manchester
| | - D M Ashcroft
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
- Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
| | - H van Marwijk
- Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton
| | - C Salisbury
- Centre for Academic Primary Care, Department of Population Health Sciences, Bristol Medical School, Bristol
| | - C A Chew-Graham
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire
| | - I Buchan
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
- Health eResearch Centre, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester
- Department of Public Health and Policy, Institute of Population Health Sciences, University of Liverpool, Liverpool
| | - N Qureshi
- Primary Care Stratified Medicine (PriSM) group, Division of Primary Care, School of Medicine, University of Nottingham, Nottingham
| | - N Peek
- Health eResearch Centre, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester
| | - C Mallen
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire
| | - M Mamas
- Keele Cardiovascular Research group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Stoke-on-Trent, UK
| | - E Kontopantelis
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester
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Participant Perspectives of Cognitive Rehabilitation for Type 2 Diabetes: Expectations and Impact. J Aging Res 2018; 2018:6563457. [PMID: 30210872 PMCID: PMC6120301 DOI: 10.1155/2018/6563457] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 06/13/2018] [Accepted: 07/12/2018] [Indexed: 01/15/2023] Open
Abstract
Purpose To describe the experiences of people with type 2 diabetes who have completed a comprehensive cognitive rehabilitation intervention. Method Nineteen participants with type 2 diabetes enrolled in an 8-week intervention consisting of 4 educational classes to learn strategies to improve cognitive function and an online training program at home to practice cognitively stimulating activities. Two focus groups were conducted as part of a study designed to assess the feasibility of the comprehensive cognitive rehabilitation intervention. Results Three main themes were identified in the qualitative data: (1) expectations of cognitive change; (2) use of cognitive strategies; and (3) effect on diabetes self-management. Participants shared valuable insight into how their experiences with the intervention changed and how they viewed diabetes. Conclusions While the participants did not initially tie their cognitive complaints to diabetes, they were able to show how and why they might use cognitive strategies to improve diabetes self-management activities. By adapting those strategies for diabetes, quality of life can improve as well as potentially glycemic control.
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Zghebi SS, Rutter MK, Ashcroft DM, Salisbury C, Mallen C, Chew-Graham CA, Reeves D, van Marwijk H, Qureshi N, Weng S, Peek N, Planner C, Nowakowska M, Mamas M, Kontopantelis E. Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open 2018; 8:e020926. [PMID: 29961021 PMCID: PMC6042592 DOI: 10.1136/bmjopen-2017-020926] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION The increasing prevalence of type 2 diabetes mellitus (T2DM) presents a significant burden on affected individuals and healthcare systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic health records (EHRs). We aim to quantify T2DM severity and validate it using clinical adverse outcomes. METHODS AND ANALYSIS Primary care data from the Clinical Practice Research Datalink, linked hospitalisation and mortality records between April 2007 and March 2017 for patients with T2DM in England will be used to develop a clinical algorithm to grade T2DM severity. The EHR-based algorithm will incorporate main risk factors (severity domains) for adverse outcomes to stratify T2DM cohorts by baseline and longitudinal severity scores. Provisionally, T2DM severity domains, identified through a systematic review and expert opinion, are: diabetes duration, glycated haemoglobin, microvascular complications, comorbidities and coprescribed treatments. Severity scores will be developed by two approaches: (1) calculating a count score of severity domains; (2) through hierarchical stratification of complications. Regression models estimates will be used to calculate domains weights. Survival analyses for the association between weighted severity scores and future outcomes-cardiovascular events, hospitalisation (diabetes-related, cardiovascular) and mortality (diabetes-related, cardiovascular, all-cause mortality)-will be performed as statistical validation. The proposed EHR-based approach will quantify the T2DM severity for primary care performance management and inform the methodology for measuring severity of other primary care-managed chronic conditions. We anticipate that the developed algorithm will be a practical tool for practitioners, aid clinical management decision-making, inform stratified medicine, support future clinical trials and contribute to more effective service planning and policy-making. ETHICS AND DISSEMINATION The study protocol was approved by the Independent Scientific Advisory Committee. Some data were presented at the National Institute for Health Research School for Primary Care Research Showcase, September 2017, Oxford, UK and the Diabetes UK Professional Conference March 2018, London, UK. The study findings will be disseminated in relevant academic conferences and peer-reviewed journals.
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Affiliation(s)
- Salwa S Zghebi
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Darren M Ashcroft
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Chris Salisbury
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christian Mallen
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - Carolyn A Chew-Graham
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - David Reeves
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Harm van Marwijk
- Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK
| | - Nadeem Qureshi
- Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Stephen Weng
- Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Niels Peek
- Division of Informatics, Imaging & Data Sciences (L5), School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Claire Planner
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Magdalena Nowakowska
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Mamas Mamas
- Keele Cardiovascular Research group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Stoke-on-Trent, UK
| | - Evangelos Kontopantelis
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
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Cuevas HE, Stuifbergen AK, Brown SA, Rock JL. Thinking About Cognitive Function: Perceptions of Cognitive Changes in People With Type 2 Diabetes. THE DIABETES EDUCATOR 2017; 43:486-494. [PMID: 28856950 PMCID: PMC11110922 DOI: 10.1177/0145721717729806] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Purpose The purpose of this study is 2-fold: (1) to explore how people with diabetes view diabetes-related cognitive problems and (2) to examine participants' ideas on a cognitive rehabilitation intervention to adapt it for persons diagnosed with type 2 diabetes (T2DM). Methods A qualitative descriptive study based on narrative interviews was conducted with adults (n = 10) with T2DM. The interview data were analyzed using content analysis. Results The interviews reflected 4 major themes: search for advice regarding cognitive complaints, cognitive symptoms, impact of perceived cognitive dysfunction on diabetes self-management, and maintenance of cognitive health. Specific areas of interest for an intervention included the following: understanding how cognitive function relates to diabetes, dealing with cognitive barriers to self-management, and learning how to incorporate a "brain healthy" lifestyle into daily activities. Conclusions Findings showed that perceived cognitive impairment impacted self-management and suggested that cognitive rehabilitation interventions have potential utility for people with T2DM. Existing successful interventions can be tailored to meet the needs of those whose diabetes self-management is impacted by cognitive problems.
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Affiliation(s)
- Heather E Cuevas
- School of Nursing, The University of Texas at Austin, Austin, Texas (Dr Cuevas, Dr Stuifbergen, Dr Brown, Ms Rock)
| | - Alexa K Stuifbergen
- School of Nursing, The University of Texas at Austin, Austin, Texas (Dr Cuevas, Dr Stuifbergen, Dr Brown, Ms Rock)
| | - Sharon A Brown
- School of Nursing, The University of Texas at Austin, Austin, Texas (Dr Cuevas, Dr Stuifbergen, Dr Brown, Ms Rock)
| | - Jamie L Rock
- School of Nursing, The University of Texas at Austin, Austin, Texas (Dr Cuevas, Dr Stuifbergen, Dr Brown, Ms Rock)
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Cuevas H, Stuifbergen A. Perceived cognitive deficits are associated with diabetes self-management in a multiethnic sample. J Diabetes Metab Disord 2017; 16:7. [PMID: 28239597 PMCID: PMC5312423 DOI: 10.1186/s40200-017-0289-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 01/25/2017] [Indexed: 12/30/2022]
Abstract
Background People with diabetes have almost twice the risk of developing cognitive impairment or dementia as do those without diabetes, and about half of older adults with diabetes will become functionally disabled or cognitively impaired. But diabetes requires complex self-management: patients must learn about the implications of their disease; manage their diets, physical activity, and medication; and monitor their blood glucose. Difficulties with cognition can hinder these activities. Methods The purpose of this study was to explore perceptions of cognitive ability in a multiethnic sample of persons with type 2 diabetes (T2DM). One hundred twenty participants completed surveys assessing perceived memory, executive function, diabetes self-management, and quality of life. Scores on the surveys were examined along with hemoglobin A1C levels and demographics. Results Scores for executive function were positively associated with self-reports of dietary adherence and blood glucose monitoring. Perceived memory ability was a significant predictor of quality of life, and executive function was a significant predictor of A1C. Conclusions Patients’ perceptions of their cognitive difficulties may assist health care providers in detection of patients’ deficiencies in performing diabetes self-management tasks. The relationships between cognitive difficulties and self-management found in this descriptive study suggest that research on the processes leading to cognitive changes in T2DM is needed, as are studies on how those processes affect diabetes self-management.
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Affiliation(s)
- Heather Cuevas
- The University of Texas, Austin School of Nursing, 1710 Red River, Austin, TX 78701 USA
| | - Alexa Stuifbergen
- The University of Texas, Austin School of Nursing, 1710 Red River, Austin, TX 78701 USA
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