Health-related quality of life among people with diabetes: A cross-sectional study in Hail region, Saudi Arabia ​.

BACKGROUND: Diabetes Mellitus is a serious and expanding health problem, together with the issues of health- related quality of life (HRQoL). This further puts pressure on the government to allocate more funds for public healthcare. OBJECTIVES: This study was devised to evaluate the health-related quality of life of people living with diabetes in Hail region of Saudi Arabia. METHODS: This cross-sectional research was carried out at eight locations in the Hail region of Saudi Arabia between 21st March-20th May 2022 using the adapted version of the Euro QoL-5 dimension (EQ-5D-3L) questionnaire. A multistage random sample approach was used to choose the diabetes clinics, and data collectors approached the participants in the waiting areas to collect the information. The data were analyzed using logistic regression analysis, Mann-Whitney test, and Kruskal-Wallis tests in IBM SPSS statistics 21.0. RESULTS: The mean HRQoL score was 0.71±0.21 with a visual analog score of 68.4±16.2. Despite having much higher levels of quality of life in terms of self-care (85.8%), regular activity (73.8%) and anxiety (71.8%), nearly one half of the people reported moderate pain or discomfort, and more than one third reported having moderate mobility issues. In general, the quality of life for women was poorer than for men. Individuals with diabetes who were unmarried, young, educated, financially secure, and taking only oral medication had much improved HRQoL. The Euro QoL of people with diabetes patients were significantly influenced by gender, marital status, age, education, employment and treatment modality (p-values < 0.05), whereas only treatment modality had a significant impact on the patients' visual analogue measures (p-values < 0.05). CONCLUSIONS: The HRQoL of people with diabetes in Hail region was moderate in general, with pain and mobility issues being particularly prevalent. Gender, marital status, age, education, employment and type of medication therapy are significant predictors of HRQoL of patients with diabetes. Hence, planning and programs to enhance the HRQoL of people with diabetes, especially women is recommended.

Barriers and facilitators to satisfaction with diabetes care: The perspectives of patients attending public diabetic clinics in Dar es Salaam, Tanzania.

BACKGROUND: The prevalence of diabetes has been increasing steadily over the past decade in low- and middle-income countries (LMICs) with about three-quarters of people living with the disease globally residing in these countries. Patient satisfaction can be used as a proxy measure of overall facility performance, and its use has been recommended for determining the quality of services provided by healthcare centres and organizations. This study aimed to explore barriers and facilitators towards satisfaction with diabetes care among patients attending public diabetic clinics in Dar es Salaam, Tanzania. METHODS: A qualitative descriptive study was carried out among people with diabetes attending public diabetic clinics in Dar es Salaam, Tanzania. Using a purposeful sampling technique, 35 people with diabetes were interviewed from May 2023 to July 2023 with the principles of saturation guiding sample size determination. A semi-structured face-to-face interview guide was employed in data collection. The audio-recorded interviews were transcribed and analyzed using a conventional content analysis approach after translation. NVivo 12.0 computer software was employed to organize and code the data. RESULTS: A total of 35 participants were enrolled in this study with a mean (±SD) age of 58.5 (±13.76) years. Four predominant themes and 12 categories were identified after data analysis including two barriers and two facilitators toward patients' satisfaction with diabetes care. Financial constraints and unfavourable clinic environments were identified as barriers. Furthermore, good provider-patient relationships and continuity of care emerged as facilitators. CONCLUSION: Barriers and facilitators to patients' satisfaction with diabetes identified in this study are greatly determined by socio-economic and cultural conditions, highlighting the role of the healthcare delivery systems and allied stakeholders in regulatory and policy development to address the existing barriers and consolidate the proven facilitators.

Transtheoretical-Based Model of Intervention for Diabetes and Prediabetes: A Scoping Review.

Diabetes is considered a public health problem worldwide, fostered by population growth, an increase in the overall quality of life, changes in dietary patterns, modifications in lifestyle habits, and the natural process of getting older. To properly control diabetes, the transtheoretical model (TTM) may be useful. This scoping review is aimed at identifying TTM interventions for diabetes. The study followed Arksey and O'Malley's six steps in conducting the scoping review. Four main databases (PubMed, Central, JSTOR, and ScienceDirect), Google Scholar, Google, and a reference list of identified articles were searched for literature. The study included peer-reviewed articles published online from 2000 to 2023 and published in the English language. At the end of the search, 3,514 entries were found in the four main databases, and 23 records were identified through Google, Google Scholar searches, and reference lists. After a thorough screening, 22 records were used for this review. The study found that the primary interventions based on the TTM for managing diabetes and prediabetes were educational materials to promote physical activity among diabetes and prediabetes individuals, health education, exercise, motivational interviews, self-tracking, and dietary changes. Further interventions on diabetes and prediabetes management could adopt the identified transtheoretical interventions to improve the health of their patients.

Learning demands of diabetes self-management: a qualitative study with people who use insulin.

OBJECTIVE: to understand the experiences with diabetes mellitus management of people who use insulin, in order to identify possible factors that may influence adherence to self-care and thus define their learning demands for diabetes self-management. METHOD: this is a qualitative study carried out using individual semi-structured interviews online. The interviews were recorded, transcribed and evaluated using Atlas.ti® software by means of Thematic Content Analysis, using the Health Beliefs Model as a theoretical framework. RESULTS: 11 people living with diabetes and using insulin took part in the study. Four categories were identified: understanding diabetes, how to deal with diabetes, difficulties related to insulin use and emotional adaptation. CONCLUSION: the perception of the severity of the disease, its complications and the benefits of adhering to treatment positively influences adherence to self-care behaviors. Although the study participants have lived with diabetes for many years, they are not exempt from difficulties related to insulin use and disease management, reinforcing the importance of continuing health education. In this sense, the findings of this study guide important educational themes to be worked on by health professionals to promote autonomy in diabetes self-management. BACKGROUND: (1) Perceived severity of diabetes positively influences self-care. (2) Continued health education for people who use insulin is essential. (3) The importance of recognizing the benefits of insulin in adherence to treatment. (4) Emotional aspects in diabetes management should be considered in health education.

The impact of diabetes on physical and mental health status and patient satisfaction after total hip and knee arthroplasty.

OBJECTIVE: To assess the impact of diabetes on physical and mental health status, as well as patient satisfaction, one-year following knee and hip total joint arthroplasty (TJA) for osteoarthritis (OA). METHODS: Participants were 626 hip and 754 knee TJA patients. Pre-surgery data were collected on socio-demographics and health status. The 12-item Short Form Health Survey (SF-12) was collected pre- and one year post-surgery, and physical (PCS) and mental component (MCS) summary scores computed. One-year patient satisfaction was also recorded. Four regression models tested the effect of diabetes on: 1) PCS change score; 2) MCS change score; 3) achieving minimal clinically important improvement (MCII) on PCS; and 4) patient satisfaction ('Somewhat or Very Satisfied' vs. 'Somewhat or Very Dissatisfied'). An interaction between surgical joint and diabetes was tested in each model. RESULTS: Self-reported diabetes prevalence was 13.0% (95% CI: 11.2%-14.7%) and was more common in knee 16.1% (95% CI: 13.4%-18.7%) than hip 9.3% (95% CI: 7.0%-11.5%) patients. In adjusted analyses, change scores were 2.3 units less on the PCS for those with diabetes compared to those without (p = 0.005). Patients with diabetes were about half as likely to achieve MCII as patients without diabetes (p = 0.004). Diabetes was not significantly associated with satisfaction or changes in MCS scores. Diabetes effects did not differ by surgical joint. CONCLUSIONS: Findings support that diabetes has a negative impact on improvements in physical health after TJA. Considering the growing prevalence of OA and diabetes in the population, our findings support the importance of perioperative screening and management of diabetes in patients undergoing TJA.

Depression, anxiety, and health-related quality of life in normal weight, overweight and obese individuals with diabetes: a representative study in Germany.

OBJECTIVE: Diabetes in the course of lifetime is related to a higher risk for mental disorders. The present study addresses the comparison of individuals with diabetes and non-diabetic individuals in depressive symptoms, generalized anxiety symptoms, and health-related quality of life. Furthermore, mediator effect of BMI and health-related quality of life (HRQOL) on the association between diabetes, depression, and generalized anxiety was analyzed. METHODS: In this cross-sectional study, the three questionnaires PHQ-9, GAD-7, EQ-5D-5L were measured in a representative sample of the German population (N = 2386). In addition, the presence of diabetes and BMI were assessed via self-report. RESULTS: There were higher values in depressive and anxiety symptoms as well as lower score in HRQOL in individuals with diabetes compared to non-diabetic individuals. Obese individuals with diabetes showed the highest rates in depressive symptoms and generalized anxiety as well as lowest score in HRQOL. With regard to the mediator analyses, association between diabetes, depressive symptoms, and anxiety symptoms is partially mediated by the BMI and fully mediated by the HRQOL. CONCLUSIONS: In conclusion, individuals with diabetes have an increased risk in the development of depressive and anxiety symptoms as well as lower health-related quality of life. Future research and strategies in the public health policies among individuals with diabetes should take into account that the association between diabetes, depression, and anxiety is mediated by BMI and HRQOL.

Instruments to assess diabetes knowledge, skills and attitudes of people living with diabetes mellitus: A COSMIN-based systematic review.

AIMS: Since knowledge, skills, and attitudes influence the adherence to self-care behaviours, the purpose of this review was to identify available instruments that measure diabetes knowledge, skills or attitudes of people living with this health condition and to evaluate their measurement properties. METHODS: A systematic search was conducted in PubMed, EMBASE, SCOPUS, Web of Science and CINAHL databases. The methodological quality of the included studies was assessed by the Consensus-based Standards for the selection of health Measurement Instruments. Risk of Bias checklist. The results of each study were rated by the updated criteria for good measurement properties and the quality of evidence was graded using a modified Grading of Recommendations Assessment, Development, and Evaluation approach. RESULTS: This review included 38 instruments that assess diabetes knowledge (n = 26) or skills (n = 6) or attitudes (n = 5) or both three constructs (n = 1). About 40% had satisfactory results for relevance, comprehensiveness, and comprehensibility, and about 30% had unsatisfactory results for comprehensiveness, but these results were supported by very low evidence. Most studies showed indeterminate results for structural validity (50%), internal consistency (98%) and reliability (84%). Instruments that had satisfactory results for construct validity and reliability were supported by low to very low evidence. One responsiveness study was identified, and the result was satisfactory, but supported by low evidence. The Diabetes Knowledge Questionnaire is the instrument with best evidence for use. CONCLUSIONS: To plan more assertive interventions, researchers need to follow up guidelines to develop instruments with good quality of the measurement proprieties.

Depression and self-care in diabetes; adjustment for misclassification bias: application of predictive weighting method.

OBJECTIVE: This study aimed to investigate the association between depression and self-care in diabetic patients potentially influenced by biases in depression measurement using weighting the positive and negative predictive values. METHODS: In this cross-sectional study, 1050 patients informedly consented to participate in the study. Using a WHO-5 well-being index, the participants were examined for depressive mood as exposure. The sensitivity and specificity of this index in a systematic review study were 0.86 and 0.81, respectively. Self-care (that is outcome) was assessed using the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire. To correct the misclassification bias of exposure, the predictive weighting method was used in the multivariable logistic regression model adjusted for covariates. Bootstrap sample with replacement and simulation was used to deal with random error. RESULTS: The mean age of patients was 42.8 ± 7.5 years. In this study, 70.1% of diabetic patients (n = 720) were depressed based on the questionnaire score and only 52.7% (n = 541) of them had appropriate self-care behaviors. Our study revealed a close relationship between self-care and covariates such as gender, depression, having comorbidities, abdominal obesity, economic status and education. The odds ratio of the association between depressive mood and lack of self-care in primary multivariable logistic regression was 2.21 (95% CI: 1.62-3.00, p < 0.001) and after misclassification bias adjusting, it was equal to 3.4 (95% CI: 1.7-6.6, p < 0.001). The OR percentage of bias was - 0.55. CONCLUSION: After adjusting for depression misclassification bias and random error, the observed association between depression and self-care was stronger. According to our findings, psychiatric interventions, and counseling and education along with self-care interventions are necessary for these patients. Special attention should be paid to male, low economic classes, less educated and those having a history of comorbidities along with psychological assessment when improving the care and progress of treatment in diabetic patients is expected. Future studies are needed to clarify the role of other psychological disorders on self-care of diabetics.

The relationship between psychological resilience and quality of life among the Chinese diabetes patients: the mediating role of stigma and the moderating role of empowerment.

BACKGROUND: Although some factors, such as stigma and empowerment, influence the complex relationship between psychological resilience and quality of life, few studies have explored similar psychological mechanisms among patients with diabetes. Therefore, this study explored the mediating role of stigma and the moderating role of empowerment in the psychological mechanisms by which psychological resilience affects quality of life. METHODS: From June to September 2022, data were collected by multi-stage stratified sampling and random number table method. Firstly, six tertiary hospitals in Wuhu were numbered and then selected using the random number table method, resulting in the First Affiliated Hospital of Wannan Medical College being selected. Secondly, two departments were randomly selected from this hospital: endocrinology and geriatrics. Thirdly, survey points were set up in each department, and T2DM patients were randomly selected for questionnaire surveys. In addition, we used the Connor-Davidson Elasticity Scale (CD-RISC) to measure the psychological resilience of patients, and used the Stigma Scale for Chronic Illness (SSCI) to measure stigma. Empowerment was measured by the Diabetes Empowerment Scale (DES). Quality of Life was assessed by the Diabetes Quality of Life Scale (DQoL). We used SPSS (version 21) and PROCESS (version 4.1) for data analysis. RESULTS: (1) Psychological resilience was negatively correlated with stigma and quality of life, and positively correlated with empowerment. Stigma was positively associated with empowerment and quality of life. Empowerment was negatively correlated with quality of life. (2) The mediation analysis showed that psychological resilience had a direct predictive effect on the quality of life, and stigma partially mediated the relationship; Empowerment moderates the first half of "PR → stigma → quality of life"; Empowerment moderates the latter part of "PR → stigma → quality of life." CONCLUSIONS: Under the mediating effect of stigma, psychological resilience can improve quality of life. Empowerment has a moderating effect on the relationship between psychological resilience and stigma, and it also has a moderating effect on the relationship between stigma and quality of life. These results facilitate the understanding of the relationship mechanisms between psychological resilience and quality of life.

The relationship between stigma and psychological distress among people with diabetes: a meta-analysis.

BACKGROUND & AIMS: Diabetes may perceive or experience varying degrees of stigma and psychological distress. The association between diabetes-related stigma and psychological distress has been examined in many studies, but no research has used a quantitative synthesis method to investigate the severity of this association and the moderators of the relationship. Thus, we conducted a meta-analysis to quantitatively integrate previous findings to identify the magnitude of the association between stigma and psychological distress among people with diabetes. REVIEW METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we systematically searched four English academic databases (PubMed, Embase, Web of Science, and PsycINFO) and three Chinese databases (China National Knowledge Infrastructure [CNKI], WANFANG Data, China Science and Technology Journal Database [VIP]). The databases were searched from the inception of each database to the end of March 2023. The pooled correlation coefficient of the association between stigma and psychological distress among people with diabetes was calculated by a random effects model using Stata software (version 17.0), and several moderators that impacted this relationship were identified. RESULTS: Eligible studies (N = 19) with a total of 12,777 participants were analysed. The pooled correlation was high between diabetes-related stigma and psychological distress (r = 0.50, 95% CI: [0.43-0.57]). Moreover, the association was moderated by the diabetes stigma measurement tools and diabetes distress measurement tools used. However, the relationship was not moderated by type of diabetes, age, gender, geographical location, or type of stigma. CONCLUSIONS: The results of the meta-analysis showed that stigma is strongly related to psychological distress among people with diabetes. Longitudinal or experimental research should be expanded in the future to further identify the causal pathways in the relationship between diabetes stigma and diabetes distress.

Machine learning-based identification and related features of depression in patients with diabetes mellitus based on the Korea National Health and Nutrition Examination Survey: A cross-sectional study.

Patients with diabetes mellitus (DM) are twice as likely as nondiabetic individuals to develop depression, which is a prevalent but often undiagnosed psychiatric comorbidity. Patients with DM who are depressed have poor glycemic control, worse quality of life, increased risk of diabetic complications, and higher mortality rate. The present study aimed to develop machine learning (ML) models that identify depression in patients with DM, determine the best performing model by evaluating multiple ML algorithms, and investigate features related to depression. We developed six ML models, including random forest, K-nearest neighbor, support vector machine (SVM), Adaptive Boosting, light gradient-boosting machine, and Extreme Gradient Boosting, based on the Korea National Health and Nutrition Examination Survey. The results showed that the SVM model performed well, with a cross-validated area under the receiver operating characteristic curve of 0.835 (95% confidence interval [CI] = 0.730-0.901). Thirteen features were related to depression in patients with DM. Permutation feature importance showed that the most important feature was subjective health status, followed by level of general stress awareness; stress recognition rate; average monthly income; triglyceride (mg/dL) level; activity restriction status; European quality of life (EuroQoL): usual activity and lying in a sickbed in the past 1 month; EuroQoL: pain / discomfort, self-care, and physical discomfort in the last 2 weeks; and EuroQoL: mobility and chewing problems. The current findings may offer clinicians a better understanding of the relationship between DM and depression using ML approaches and may be an initial step toward developing a more predictive model for the early detection of depressive symptoms in patients with DM.

Self-Determination Theory and Quality of Life of Adults with Diabetes: A Scoping Review.

Background: Diabetes is one of the leading causes of sickness, death, and decreased quality of life globally. The prevalence of diabetes keeps rising globally due to lifestyle changes and urbanization. Therefore, improved quality of life (QoL) and appropriate diabetes self-management practices, including treatment adherence, are crucial to improving and sustaining the health of diabetic patients. Some studies have adopted the self-determination theory (SDT) to study diabetes interventions, but less is known about its effectiveness in improving QoL, treatment adherence, and diabetes self-management. Aim/Objective. This review assessed the effectiveness of SDT in improving self-management practices, treatment adherence, and QoL among adult diabetic patients. Method: We followed the six-stage framework by Arksey and O'Malley in conducting the review. PubMed, JSTOR, Central, and ScienceDirect databases were searched for published articles from January 2011 to October 2021 using keywords and Boolean logic. Furthermore, we screened a reference list of related articles. Also, Google Scholar, Z-library, and web-based searches were carried out to retrieve other relevant evidence that applied SDT in improving QoL, diabetes self-management, and treatment adherence. Findings. Fifteen studies met the inclusion criteria, from which data were extracted as findings. SDT effectively improved QoL, diabetes treatment adherence, and diabetes self-management among diabetic patients. Of these studies, 11 provided data on SDT and diabetes self-management and affirmed the effectiveness of the theory in improving appropriate diabetes self-management practices. Two studies confirmed the effectiveness of SDT in improving treatment adherence. SDT and QoL were assessed in 4 of the studies, which demonstrated the effectiveness of SDT in enhancing the QoL of diabetic patients. Conclusion: SDT effectively improved QoL, diabetes treatment adherence, and diabetes self-management. The application of SDT in diabetes management will improve the health and QoL of diabetic patients. Hence, diabetes management interventions could adopt SDT to guide treatment.

Hostility and prevalent diabetes among black adults: The Jackson Heart Study.

BACKGROUND AND AIMS: The relationship between hostility and the prevalence of diabetes mellitus (DM) among black adults was investigated using the Jackson Heart Study (JHS) cohort. We hypothesized that Cook-Medley Hostility scores will be positively related with the prevalence of DM. METHODS AND RESULTS: A total of 3232 black adults who completed at least one question for each of the three subscales of the Cook-Medley Hostility Scale and had data available regarding DM status were included. Using multivariate logistic regression, we studied the cross-sectional relationship between the overall Total Cook-Medley Hostility scores and individual subscales, hostile affect (n = 3232), aggression (n = 3119) and cynical distrust (n = 3085), with prevalent DM, adjusting for known DM confounders. Our population was 36% male with a mean age of 53.5 ± 0.9 years. In risk-factor adjusted models, each point higher in the overall Total Cook-Medley Hostility scores was associated with increased odds of having DM [Adjusted OR 1.02, 95%CI 1.00-1.04, P = 0.03]. Higher scores of cynicism were independently associated with prevalent DM [Adjusted OR 1.04, 95%CI 1.01-1.07, p = 0.021]. CONCLUSIONS: There was a positive relationship between overall hostility levels and prevalent DM. Future studies should investigate the extent to which additional social determinants may impact the relationship between hostile affect and prevalent DM.

Psychosocial Impact of the COVID-19 Pandemic in Racially/Ethnically Diverse Youth With Diabetes.

OBJECTIVE: This study examined caregiver perceived impact of the Coronavirus Disease 2019 (COVID-19) pandemic on a diverse sample of U.S. youth with diabetes and their families. METHODS: Caregivers of youth with diabetes completed an electronic survey in English or Spanish at two sites. Participants provided demographic and disease characteristics and completed the COVID-19 Exposure and Family Impact Scales (CEFIS). Glycemic health was assessed via Hemoglobin A1c (HbA1c) from medical chart review. Analysis of variance and analyses of covariance were utilized to examine racial/ethnic differences in glycemic health and in COVID-19 Exposure, Impact, and Distress scales. Hierarchical linear regression was conducted to predict HbA1c. Thematic analysis was conducted on open-ended responses regarding the effects of COVID-19 on youth and families' overall and diabetes-related well-being. RESULTS: Caregivers (n = 114) of youth with diabetes (M = 12.6 ± 3.5 years) completed study measures. Mean HbA1c for Non-Hispanic White youth was lowest and significantly different from Hispanic and Non-Hispanic Black youth. Exposure to COVID-19 stressors differed by race/ethnicity (p < .05) with Hispanic caregivers reporting greatest exposure. CEFIS scales did not predict HbA1c after controlling for demographic/disease variables. Caregivers described child/family changes during COVID (e.g., more time together, health-related hypervigilance), as well as differences in diabetes management during COVID-19. CONCLUSIONS: Findings indicate differences in COVID-19 exposure but did not demonstrate other racial/ethnic disparities in COVID-19 impact or distress. Household income was the most important predictor of glycemic health. Addressing structural inequalities experienced by youth with diabetes and their families is critical. Recommendations to support families with diabetes are made.

Dietary self-care and associated factors among diabetic patients in Jimma University Medical Centre, South West Ethiopia; A path analysis.

BACKGROUND: Diabetes Mellitus (DM), a chronic metabolic disorder that caused about 4.2 million deaths and at least 760 billion dollars' expenditure in 2019, has been targeted for action by leaders of WHO member countries. In Ethiopia deaths, due to DM reached 34,262 in 2013. Studies show effective lifestyle interventions; particularly medical nutrition therapy reduces HbA1c by 0.5 to 2%. However, practicing recommended diet is reported to be difficult. Not only Knowledge and practice but also perception studies are therefore necessary to design future health programs. OBJECTIVE: To assess diabetic self-care, dietary practice and associated factors among diabetes patients. METHOD: Institution-basedbased cross-sectional study design was employed from february15-May15, 2020 in Jimma university medical Centre (JUMC). Systematic sampling of every other patient (K = 2.7) was employed to interview 371 participants. A previously validated tool was used to collect data through a face-to-face interview. A path analysis was used to fit the structural model and tests the hypothesized Health Belief Model (HBM) relationships. RESULT: Response rate was 95.4% (354). Around 52% of the participants were male and 76.8% follow diabetic education at least some times. 42.4% and 48% of respondents have good dietary and general self-care practices respectively. With unstandardized coefficient (standard error) self-efficacy0.10 (0.01) being the strongest cues to action0.10 (0.02), perceived threat0.02 (0.01), and perceived barrier-0.08(0.01) constructs of HBM have a significant effect on dietary practice. Knowledge, social support and diabetes distress exert a significant indirect effect on dietary practice through health belief constructs with unstandardized path coefficient (standard error) of 0.22(0.03), 0.02(0.01), and -0.03(0.004) respectively. CONCLUSION: In this study, the proportion of good practice is found to be lower for both dietary as well as general self-care. HBM can best fit to explain variability in dietary self-care practice; therefore, future interventions should be designed to address the vast perception and psychosocial factors influencing dietary self-care practices.

Depressive symptoms mediate the relationship between diabetes and cognitive performance in a community-based sample of older adults.

AIMS: To evaluate whether diabetes and prediabetes are associated with impaired cognitive performance among older adults and examine depressive symptoms as a mediator. METHODS: We used cross-sectional data from the Einstein Aging Study, a systematically recruited, community-based cohort study of diverse older adults (N = 794; Age Mean (SD) = 78.9 (5.3); 64.4% Non-Hispanic White, 28.7% Non-Hispanic Black, 5.7% Hispanic). Diabetes status was established via self-reported diagnosis, prescribed medications, and fasting blood glucose. Depressive symptoms were assessed using the Geriatric Depression Scale. Cognitive tests included Digit Symbol, Trails-B, Free Recall, Category Fluency, Boston Naming, and Block Design. Linear regression and mediation analyses were applied. RESULTS: Compared to those without diabetes, diabetes was associated with worse performance on all cognitive tests (ps < 0.05), except Trails-B (p = 0.53), and increased depressive symptoms (p < 0.01). For diabetes, mediation via increased depressive symptoms was observed for Free Recall (p = 0.044), Category Fluency (p = 0.033), and Boston Naming (p = 0.048). CONCLUSIONS: Diabetes was consistently associated with worse cognitive performance and increased depressive symptoms among this older cohort, while prediabetes was not. Mediation findings suggest depressive symptoms may be a biobehavioral pathway linking diabetes and cognition, though the temporal sequence is unclear. If causal, addressing both diabetes and depressive symptoms among older adults may protect cognitive function.