[Difficulty experienced by family in supporting elderly diabetic patients is associated with a decline in patients' higher-level functions].

OBJECTIVE: To examine the relationship between difficulties experienced by family in supporting elderly patients with diabetes and these patients' higher-level functions. METHODS: The subjects were outpatients with diabetes ≥65 years old at Ise Red Cross Hospital and their family members. The Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC) was used to assess patients' higher-level functions. The Japanese version of the Diabetes Caregiver Activity and Support Scale (D-CASS-J) was used to measure difficulties experienced by family in supporting elderly patients with diabetes. Using a multiple regression analysis with TMIG-IC scores (instrumental ADL, intellectual activity, and social participation) as the dependent variable and D-CASS-J scores (based on the highest scoring Q1 group among the three quartiles of D-CASS-J scores) as the explanatory variables, standardized regression coefficients (ß) for higher-level functions on the family's perceived support difficulties were calculated. RESULTS: In total, 429 patients (254 male patients and 175 female patients) were included in the analysis. For male patients, the adjusted beta values for TMIG-IC scores in Q2 and Q3 were -0.039 (P=0.649) and -0.352 (P<0.001), respectively, and the adjusted beta values for the instrumental ADL scores were -0.064 (P=0.455), -0.192 (P=0.047), -0.090 (P=0.375), and -0.360 (P=0.002) for the Intellectually Active scores, respectively, and the adjusted beta for social role scores were 0.054 (P=0.581) and -0.261 (P=0.019), respectively. However, there was no association between the patients' higher-level functions and family support difficulties among female patients. CONCLUSIONS: Difficulty experienced by the family in supporting elderly male patients with diabetes is associated with reduced higher-level functioning.

Exploring the self-efficacy of patients with diabetes: its role as a predictor of diabetes management and well-being.

Background: Self-efficacy is a popular psychological concept that refers to an individual's perception or belief in his ability to perform specific actions. This study aimed to assess the predictive value of self-efficacy, measured using the Self-Efficacy for Managing Chronic Disease 6-Item Scale (SEM6S) questionnaire, for diabetes management and overall well-being in patients with diabetes. Subject and methods: An anonymous online cross-sectional study was conducted to evaluate the self-efficacy of diabetic patients in the Asser region of Saudi Arabia. The participants were requested to upload their most recent glycated hemoglobin A1C (HbA1C) measurements taken in the last three months, which helped in the accurate categorization of their diabetes as either controlled or uncontrolled. We used the valid Arabic version of the SEM6S and WHO-5 well-being questionnaires to assess patient self-efficacy and well-being. Results: A cohort of 342 patients was enrolled in the study, 67.25% were married, their mean age was 43.17 ± 17.61 years, and 52.69% had university-level or higher education. Among the participants, 46.0% exhibited well-being, while 24.9% reported poor well-being, including 9.4% who were identified as experiencing depression. The mean scores of self-efficacy and well-being were significantly higher among those with controlled diabetes versus uncontrolled diabetes (40.86 ± 13.26 vs. 36.48 ± 13.26) and (67.35 ± 21.22 vs. 60.93 ± 25.05), respectively. The predictors of glycemic control were self-efficacy [Odds ratio (OR)=1.03 (95%CI, 1.01-1.06, P=0.002], having other chronic diseases [OR=3.25 (95%CI), P<0.001], having type 1 diabetes [OR=7.16, 95%CI, P=0.005], being Saudi [OR=7.67, (95%CI, P=0.027], working in a public sector [OR=0.15, (95%CI, 0.05-0.44), P=0.005], being unemployed [OR=0.19, (95%CI, 0.06-0.59), P=0.005], being a smoker [OR=0.44, 95%CI, 0.19-0.98, P=0.048], and duration of diabetes between 6-10 years [OR= 0.33, 95%CI, 0.11-0.95), P=0.043] or more than 10 years OR=0.32, 95%CI, 0.12-0.86), P=0.026]. The main determinants of well-being were having self-efficacy [OR=1.07 (95%CI, 1.04-1.09), P = 0.0001], having public health insurance [OR=4.36 (95%CI, P=0.015], and education level (read and write) [OR=0.13 (95%CI,.02-.70), P=0.021]. Conclusions: The study reveals that non-modifiable and modifiable factors, including self-efficacy, play a crucial role in diabetes control. The study recommends providing targeted educational interventions, using different social media platforms, psychosocial support programs, and inclusive healthcare policies to improve diabetes control and mental well-being among diabetic patients.

The Effect of Nursing Approach on the Self-Management and Adjustment to the Illness among Newly Diagnosed Diabetic Patients According to Meleis's Transition Theory.

This study aimed to determine how the nursing approach based on Meleis's transition theory affects the self-management and adjustment to the illness among newly diagnosed diabetic patients. The study was conducted as one-group and pretest-posttest quasi-experimental design. The data were collected using the Introductory Questionnaire, the Diabetes Self-Management Questionnaire (DSMQ), and the Psychosocial Adjustment to Illness Scale-Self Report (PAIS-SR). It was determined that there was a positive increase in the total score of the DSMQ after the intervention, and a positive decrease in the total score of the PAIS-SR, and the difference between the scores were statistically significant (p < .05).

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.

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.

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.

Trajectories of cognitive function among people aged 45 years and older living with diabetes in China: Results from a nationally representative longitudinal study (2011~2018).

OBJECTIVES: Diabetes is associated with decline of cognitive function. Exploring different trajectories of cognitive function occurring in people with diabetes is important to improved prognosis. This study aimed to investigate differential patterns of trajectories of cognitive function and baseline determinants of trajectory group membership utilizing data from middle-aged and older Chinese adults with diabetes. METHODS: Participants of the Chinese Health And Retirement Longitudinal Study (CHARLS) aged 45 years and above received biennial assessments between 2011 and 2018. The primary outcome was overall cognitive function score operationalized as sum of mental intactness and episodic memory scores derived from the Telephone Interview of Cognitive Status (TICS). A weighted growth mixture model was used to estimate cognitive function trajectories of CHARLS participants with diabetes, and baseline factors associated with trajectory group membership were investigated with weighted multinomial logistic regression. RESULTS: Data from 1,463 participants with diabetes aged 45 years and above were analyzed, a three-group trajectory model showed the best fit for overall cognitive scores: low baseline, linear declining (22.1%); moderate baseline, linear declining (37.5%) and high-stable (40.3%). Older participants, females, participants with low education, with nighttime sleep <6 h, without daytime napping habits, and with depressive symptoms were at a higher risk of unfavorable cognitive function trajectories. CONCLUSIONS: We identified heterogeneous trajectories of cognitive function among middle-aged and older people living with diabetes in China. Socially vulnerable groups including females, rural residents, and those with low education were at a higher risk for unfavorable trajectories. In health programs aimed at preventing and mitigating cognitive decline in individuals with diabetes more attention should be given to vulnerable groups. Reduced nighttime sleep, lack of daytime napping, and depressive symptoms appear to be modifiable risk factors.

The effect of socioeconomic status, depression, and diabetes symptoms severity on diabetes patient's life satisfaction in India.

Evidence suggests that diabetes is on the rise in India, affecting many people's life satisfaction. Comprehensive estimation of life satisfaction among diabetes patients does not exist in the country. This study examined the effects of socioeconomic status, depression, and diabetes symptoms severity on the life satisfaction of diabetes patients by controlling various demographic variables. It was a cross-sectional study comprising 583 diabetes patients from Punjab, India. Patients were interviewed using a multi-stage purposeful random sampling method. Descriptive analysis and partial least squares structural equation modelling were used in the study to test the hypotheses. Results revealed that socioeconomic status, depression and diabetes symptoms severity significantly influence the life satisfaction of diabetes patients. A 1% drop in diabetes symptoms severity corresponds to a 0.849% increase in life satisfaction, whereas a 1% decrease in depression results in a 0.898% increase in life satisfaction. Patients with higher diabetes symptoms severity were coping with common mental disorders. Women reported higher diabetes symptoms severity and depression than men, resulting in lower life satisfaction. An experimental evaluation of the effects of socioeconomic status, depression and diabetes symptoms severity, and numerous demographic factors on life satisfaction was reported. The findings will help policymakers understand the problem associated with life satisfaction among diabetes patients in the country.

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.

Diabetes and Hearing Impairment: Knowledge, Attitudes, and Practices Among Providers and Patients.

PURPOSE: The purpose of this study was to assess the knowledge, attitudes, and practices among providers and patients regarding hearing impairment and screening referrals in people with diabetes. METHODS: A cross-sectional survey design among health care providers and patients at an academic medical center in Oklahoma was used to gather knowledge, attitudes, and practices data. RESULTS: Only 25.6% of providers selected hearing impairment as a complication of diabetes, whereas 96.7% selected retinopathy, kidney dysfunction, and foot infection. Reported barriers to referring patients for hearing impairment screenings were being unfamiliar with recommended screening frequency (57.3%) and existence of higher priorities (35.4%). When asked to select parts of the body affected by diabetes, 21.0% of patients surveyed selected ears, 88.0% selected feet, and 85.0% selected eyes and kidneys. Fewer patients reported being told hearing impairment is a complication of diabetes compared to retinopathy (8.1% vs 85.9%). Additionally, 24.2% of patients reported having a hearing impairment screening, and 96.0% reported having a dilated eye exam. CONCLUSIONS: Most providers and patients at an academic medical center are unaware of the relationship between diabetes and hearing impairment. Providers reported there are several barriers that need to be overcome to refer patients to audiologists.

Predictors of and barriers to follow-up uptake: analysis of factors and perceived barriers among high-risk individuals with diabetes after screening in China.

OBJECTIVE: The objective of this study was to identify variables that predict adherence to follow-up visits among people who are positive for diabetes during screening and to investigate barriers to follow-up. STUDY DESIGN: A retrospective cohort study linking individual-level registry data was performed. METHODS: First, we compared the characteristics of attenders and non-attenders. Second, we investigated perceived barriers using a questionnaire in a random sample of people who failed to attend the follow-up visit. RESULTS: A total of 27,806 (16.4%) patients attended the follow-up visits. Multiple logistic regression analysis revealed that individuals aged ≥75 years were more likely to attend follow-up than were those aged 35-45 years (odds ratio [OR]: 1.97 [95% confidence interval {CI}: 1.82-2.15]), male (OR: 1.15 [95% CI: 1.12-1.18]), obese (OR: 1.36 [95% CI: 1.29-1.43]), had positive family history of diabetes (OR: 1.37 [95% CI: 1.30-1.45]), hypertension (OR: 1.05 [95% CI: 1.01-1.09]), high glucose levels (OR: 1.10 [95% CI: 1.09-1.11]), and high diabetes risk scores (OR: 1.02 [95% CI: 1.02-1.03]) facilitated follow-up. However, overweight (OR: 0.95 [95% CI: 0.92-0.99]) and central obesity (OR: 0.86 [95% CI: 0.83-0.90]) predicted no follow-up. Among nonattenders, diabetes beliefs, time restrictions and distance from home to hospitals were the top three barriers hindering follow-up visits. CONCLUSIONS: Specific individual-level characteristics predicted adherence to follow-up visits, and some personal and sociocultural barriers hindered follow-up visits.

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.

Managing Medications During "Sick Days" in Patients With Diabetes, Kidney, and Cardiovascular Conditions: A Theory-informed Approach to Intervention Design and Implementation.

OBJECTIVES: Our aim in this work was to 1) explore barriers and enablers to patient and health-care provider (HCP) behaviours related to sick-day medication guidance (SDMG), 2) identify theory-informed strategies to advise SDMG intervention design, and 3) obtain perspectives on an eHealth tool for this purpose. METHODS: A qualitative descriptive study using qualitative conventional content analysis was undertaken. Interviews and focus groups were held with patients and HCPs from January 2021 to April 2022. Data were analyzed using the Behaviour Change Wheel and Theoretical Domains Framework to inform intervention design. RESULTS: Forty-eight people (20 patients, 13 pharmacists, 12 family physicians, and 3 nurse practitioners) participated in this study. Three interventions were designed to address the identified barriers and enablers: 1) prescriptions provided by a community-based care provider, 2) pharmacists adding a label to at-risk medications, and 3) built-in prompts for prescribing and dispensing software. Most participants accepted the concept of an eHealth tool and identified pharmacists as the ideal point-of-care provider. Challenges for an eHealth tool were raised, including credibility, privacy of data, medical liability, clinician remuneration and workload impact, and equitable access to use of the tool. CONCLUSIONS: Patients and HCPs endorsed non-technology and eHealth innovations as strategies to aid in the delivery of SDMG. These findings can guide the design of future theory-informed SDMG interventions.

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.