The science of diabetes self-management and care最新文献

Purpose: The purpose of this study was to examine the relationship between self-management behaviors (eg, healthy eating, being active, medication taking, glucose monitoring, feet check), sociodemographic factors, disease-related characteristics, and health literacy among patients with type 2 diabetes in Singapore.

Methods: Data were analyzed from a nationwide survey conducted between 2019 and 2020 (n = 387). Self-management behaviors were assessed using the Dietary Approaches to Stop Hypertension questionnaire, the Global Physical Activity Questionnaire, and a diabetes care questionnaire. A linear regression model was generated to examine the association of healthy eating with the variables of interest (sociodemographic factors, disease-related characteristics, and health literacy), and logistic regression models were generated to investigate the significant correlates of the remaining self-care behaviors.

Results: Regression models showed that the 5 self-care behaviors have different correlates. Nonetheless, compared to individuals aged 50 to 64 years, those aged 65 years and above were less likely to be active, adhere to their medication prescription, and check their feet. Individuals with a higher number of diabetes-related complications were less likely to be sufficiently active but more likely to monitor their glucose level and check their feet. Moreover, individuals with poor health literacy were more likely to eat healthily and be sufficiently active.

Conclusions: Programs related to self-care behaviors can be tailored to specific demographics to improve their uptake in the population. Furthermore, encouraging comprehensive self-care behaviors in those aged 65 years and above is crucial for effective diabetes management.

Purpose: The purpose of this study was to explore symptom management experiences among college students with type 1 diabetes mellitus (T1DM). Limited qualitative data using a theoretical framework exist that explore the self-care behavior processes for symptom management.

Methods: A qualitative approach was used for this study. The middle-range theory of self care of chronic illness served as a framework for data collection and analysis procedures. Data collection included distributing a survey to collect participants' demographic and sociodemographic data and utilizing a semi-structured interview guide to conduct one-on-one interviews with 31 participants. Interviews occurred via Zoom (n = 28) and in person (n = 3). Interview transcripts were uploaded in NVivo for data management. The research team created a codebook using theoretical constructs to assist with thematic analysis. Data are representative of a sample whose characteristics include undergraduate students ages 18 to 23 living with T1DM for 2 years or more who attended large, public, 4-year universities located in the southeastern United States.

Results: Three main themes were created using theoretical constructs: symptom detection experiences, symptom interpretation experiences, and symptom response experiences. Two subthemes were identified for each theme. Participants engaged in symptom management for blood glucose regulation through detecting changes in their blood glucose physiologically and via technology. Additionally, symptom interpretation involved analyzing blood glucose trends and determining common causes of blood glucose changes. Symptom response included immediately addressing hypoglycemia but delayed responses addressing hyperglycemia.

Conclusions: Challenges were present responding to hypoglycemia; therefore, additional research is warranted to improve symptom response skills.

Purpose: The purpose of this study was to examine the impact of continuous blood glucose monitoring (CGM) on transitions of care as patients with diabetes are discharged from the hospital on insulin.

Methods: This is a descriptive study with 2 cohorts of patients (transition to home with CGM and transition to home without CGM) who were assessed prior to discharge (baseline) and 30 days post discharge (follow-up). The key outcome measures were satisfaction with diabetes management, diabetes-related quality of life, frequency of blood glucose monitoring, and 30-day readmission rates.

Results: Patients in the CGM group reported significantly higher levels of satisfaction with diabetes self-care management and higher levels of diabetes-related quality of life compared to those patients discharged without CGM.

Conclusion: The results of this study suggest that CGM enables a smoother transition from hospital to home for patients with diabetes placed on insulin at discharge. CGM was associated with higher satisfaction and diabetes-related quality of life, perhaps as a result of timely, ongoing information about glucose levels without the burden and pain of finger sticks. CGM may provide greater confidence in self-care decisions regarding insulin dosing, food intake, and exercise. Further research is needed to confirm our results and explore the additional factors associated with greater quality of life and satisfaction.

Purpose: The purpose of this study was to describe the influence of COVID-19 on parents and their young adults with type 1 diabetes as they navigated the college environment during the COVID-19 pandemic.

Participants: A sample of 9 college students with type 1 diabetes and their parents were recruited to participate in interviews via purposive sampling methodology.

Methods: A descriptive, qualitative study was conducted using semi-structured questions via recorded video conferencing interviews.

Results: Three themes related to navigating type 1 diabetes at college during the pandemic emerged: (1) isolation and mental health: COVID-19-related isolation and loneliness; (2) risk and exposure to COVID-19: balancing risk of COVID-19 with type 1 diabetes; and (3) management of type 1 diabetes on campus during the pandemic: academics, university policies, and their impact on type 1 diabetes.

Conclusions: Students with type 1 diabetes and their parents had to navigate a complex set of concerns that extended beyond the usual challenges of diabetes management during the COVID-19 pandemic. Providers must provide additional support and incorporate education about type 1 diabetes management strategies to families affected by large-scale health crises.

Purpose: The purpose of the study was to examine financial well-being among a diverse population of individuals with and without diabetes.

Methods: Data from the Understanding America Survey, a nationally representative, longitudinal panel, were utilized to identify adults with self-reported diabetes diagnoses between 2014 and 2020. We used longitudinal mixed effects regression models to assess the association between diabetes and financial well-being score (FWBS) among racial and ethnic population subgroups. Models included sex, age, marital status, household size, income, education, race/ethnicity, insurance, body mass index, employment, and health insurance, incorporating individual- and household-level fixed effects. Racial and ethnic differentials were captured using group-condition interactions.

Results: Black participants (17.06%) had the highest prevalence of diabetes, followed by White participants (12.2%), "other" racial groups (10.7%), and Hispanic participants (10.0%). In contrast, White participants (M = 67.66, SD = 22.63) and other racial groups (M = 67.99, SD = 18.45) had the highest FWBSs, followed by Hispanic participants (M = 59.31, SD = 22.78) and Black participants (M = 55.86, SD = 25.67). Compared to White participants, Black participants (β = -5.49, SE = 0.71) and Hispanic participants (β = -2.06, SE = 0.63) have significantly lower FWBSs. Compared to males, females (β = -3.25, SE = 0.41) had lower FWBSs among individuals with diabetes. FWBSs of individuals with diabetes was 2.71 points lower (SE = 0.52), on average, than those without diabetes. Education, household size, age, marital status, and income were also significantly associated with FWBSs.

Conclusions: Findings suggest potential disparities in the financial ramifications of diabetes among socially marginalized populations.

Purpose: The purpose of this study was to examine the association between determinants of health, medication engagement, and A1C levels in adults with type 2 diabetes (T2DM) receiving Tribal health and pharmacy services.

Methods: A retrospective analysis of 2020-2021 electronic health record data was conducted and included adult patients with T2DM using Choctaw Nation Health Services Authority prescribed ≥1 noninsulin glucose-lowering medication in 2020, had ≥1 A1C value in 2020 and 2021, and had a valid zip code in 2021. Patients receiving both insulin and other noninsulin glucose-lowering medication were included. The proportion of days covered (PDC) was used to calculate medication engagement. Statistical analyses included bivariate analysis and linear regression.

Results: There were 3787 patients included in the analyses; 62.5% were considered engaged (PDC ≥ 0.8). The mean 2020 A1C level was 8.0 (64 mmol/mol) ± 1.8; 33% had an A1C of <7%, 42% had an A1C of 7% to 9%, and 25% had an A1C >9%. The mean A1C in 2021 was 7.9 (63 mmol/mol) ± 1.7; 34% had an A1C of <7%, 44% had an A1C of 7% to 9%, and 22% had an A1C >9%. Older age was weakly correlated with higher engagement; higher engagement was associated with lower A1C levels while adjusting for covariates.

Conclusions: Medication engagement was associated with lower A1C levels, and older age was weakly associated with higher engagement to noninsulin glucose-lowering medications, consistent with previous literature. No determinants of health were significantly associated with A1C levels while adjusting for covariates.

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.

Purpose: The purpose of the study was to explore the shared medical appointment model (SMA) with youth with type 2 diabetes (T2DM) and their caregivers to identify health education needs, access barriers, and recommendations for intervention design.

Methods: Patient and caregiver focus group interviews were conducted in English and Spanish to address these objectives: (1) identify barriers to participation in group sessions, (2) identify barriers to diabetes self-management, and (3) prioritize preference for SMA themes. Qualitative analysis identified strategies for patient recruitment and engagement and recommendations for curriculum design of a future SMA model for youth with T2DM.

Results: Both adolescents and caregivers supported the development of an SMA model. Adolescents expressed concerns of initial discomfort and nervousness, whereas young adults described stigma as the main barrier to joining a group. Patients emphasized the importance of prioritizing youth comfort and families' convenience. Early adolescents and young adults preferred autonomy in the choice to join a group, whereas mid adolescents and caregivers preferred that the caregivers make that decision. Participants recommended nine topics regarding barriers to diabetes care. The topics that received the most enthusiasm were nutrition, exercise, navigating peer interactions, and stress management.

Conclusions: Youth with T2DM and their caregivers perceived many benefits of an SMA model and provided feedback to guide the development of a health education curriculum that could be integrated into an SMA clinic.

Purpose: The purpose of the study was to explore how caring for older adults with both diabetes and functional limitations impacts caregiver depressive symptoms and whether this impact is moderated by caregivers' expressive social support and psychological resilience.

Method: Cross-sectional data of 278 dyads, each comprising an older adult with functional limitations and his/her primary family caregiver were analyzed. Older adult diabetes status (yes/no) was based on ever-diagnosis of diabetes. Caregiver depressive symptoms, expressive social support, and psychological resilience were measured using standard scales. Multivariable linear regression was used to assess the association of interest and its moderation by caregiver expressive social support and psychological resilience.

Results: Caregivers of older adults with both diabetes and functional limitations had a higher depressive symptoms score compared to caregivers of older adults with only functional limitations. This association was inversely moderated by caregiver expressive social support. As caregiver expressive social support increased, the difference in depressive symptoms between caregivers of older adults with diabetes and functional limitations and caregivers of older adults with only functional limitations reduced.

Conclusion: Family caregivers of older adults with functional limitations and diabetes have a higher depressive symptoms score. However, enhancing caregiver expressive social support could mitigate this risk. Service providers should prioritize support for caregivers in such vulnerable situations and strive to enhance their expressive social support.