Educational attainment moderates the associations of diabetes education with health outcomes

Lifestyle and metabolic risk factors, and diabetes mellitus prevalence in European countries from three waves of the European Health Interview Survey

Population shift towards healthier lifestyles can help reduce the burden of type 2 diabetes mellitus (DM), therefore understanding and monitoring the lifestyle-related risk factors are crucial for setting up effective preventive strategies and disease management. The present study aimed to explore the changes in prevalence of DM and major risk factors including smoking, physical activity, fruit and vegetable consumption, as well as body mass index (BMI) over three waves of European Health Interview Survey, and to investigate the association between risk factors and presence of DM across 11 European Union member states. Poisson regression models were used to evaluate the association between risk factors and DM, adjusted for demographic and socioeconomic variables. The estimated age-standardized prevalence of DM increased from 7.01% in 2009 to 7.96% in 2019, with substantial increase in subgroups with higher BMI and unhealthy lifestyle including physically inactive people, or current smokers. Obesity and overweight and physical inactivity were significantly associated with DM in all survey waves. Our findings underline that obesity prevention and weight loss promotion along with physical activity promotion are the subject of lifestyle interventions to reduce the burden of DM in EU member states.

Associations of education attainment with gestational diabetes mellitus and the mediating effects of obesity: A Mendelian randomization study

We aim to assess the causal association between educational attainment and gestational diabetes mellitus, and the mediating effect of obesity on this association. We estimated the causal effects of educational attainment on gestational diabetes mellitus using European ancestry genome-wide association study summary data with two-sample univariate Mendelian randomization (UVMR) approach. Two-stage Mendelian randomization analysis was performed to assess the potential mediating role of obesity traits in this association and to calculate the mediating proportion. UVMR analysis demonstrated that higher educational attainment was associated with a reduced risk of GDM (OR 0.76, 95% CI 0.67-0.86; p < 0.01). EA has also been associated with decreased obesity in women. Mediation Mendelian randomization results indicated that body mass index (BMI) was the most significant mediating factor in the relationship between educational attainment and GDM, accounting for 42.52% (95% CI 37.75-55.44%) of the effect, followed by waist-to-hip ratio (WHR) at 34.35% (95% CI 29.82-46.41%), body fat percentage at 28.95% (95% CI 35.99-46.81%), and WHR adjusted for BMI (WHRadjBMI) at 12.51% (95% CI 36.2-58.5%). educational attainment exerts a potential causal protective effect against gestational diabetes mellitus, and obesity-related risk factors play a mediating role. Attention should be paid to the educational attainment of women, and obese women with lower educational attainment may represent a higher risk group for GDM than those with higher educational attainment.

Educational attainment affects the diagnostic time in type 2 diabetes mellitus and the mortality risk of those enrolled in the diabetes pay-for-performance program

Most patients are diagnosed as having diabetes only after experiencing diabetes complications. Educational attainment might have a positive relationship with diabetes prognosis. The diabetes pay-for-performance (P4P) program-providing comprehensive, continuous medical care-has improved diabetes prognosis in Taiwan. This retrospective cohort study investigated how educational attainment affects the presence of diabetes complications at diabetes diagnosis and mortality risk in patients with diabetes enrolled in the P4P program. From the National Health Insurance Research Database, we identified patients aged >45 years who had received a new diagnosis of type 2 diabetes during 2002-2015; they were followed up until the end of 2017. We next used logistic regression analysis to explore whether the patients with different educational attainments had varied diabetic complication risks at diabetes diagnosis. The Cox proportional hazard model was employed to examine the association of different educational attainments in people with diabetes with mortality risk after their enrollment in the P4P program. The results indicated that as educational attainment increased, the risk of diabetes complications at type 2 diabetes diagnosis decreased gradually. When type 2 diabetes with different educational attainments joined the P4P program, high school education had the highest effect on reducing mortality risk; however, those with ≤ 6th grade education had the lowest impact.

Diabetes Pay-for-Performance Program Participation and Dialysis Risk in Relation to Educational Attainment: A Retrospective Cohort Study

Pay-for-performance (P4P) programs for diabetes care enable the provision of comprehensive and continuous health care to diabetic patients. However, patient outcomes may be affected by the patient's educational attainment. The present retrospective cohort study aimed to examine the effects of the educational attainment of diabetic patients on participation in a P4P program in Taiwan and the risk of dialysis. The data were obtained from the National Health Insurance Research Database of Taiwan. Patients newly diagnosed with type 2 diabetes mellitus (T2DM) aged 45 years from 2002 to 2015 were enrolled and observed until the end of 2017. The effects of their educational attainment on their participation in a P4P program were examined using the Cox proportional hazards model, while the impact on their risk for dialysis was investigated using the Cox proportional hazards model. The probability of participation in the P4P program was significantly higher in subjects with a junior high school education or above than in those who were illiterate or had only attained an elementary school education. Subjects with higher educational attainment exhibited a lower risk for dialysis. Different educational levels had similar effects on reducing dialysis risk among diabetic participants in the P4P program.

The factors associated with orthorexia nervosa in type 2 diabetes and their effect on diabetes self-management scores

PURPOSE

This study aimed to determine the factors affecting the ORTO-R scores in individuals with T2DM and to investigate their effect on diabetes self-management.

METHODS

The study included 373 individuals with type 2 diabetes between the ages of 18-65 who applied to Akdeniz University Hospital Endocrinology and Metabolic Diseases Polyclinic between January and May 2022. A questionnaire including sociodemographic data, information about diabetes, and nutritional habits, and the ORTO-R and Type 2 Diabetes Self-Management Scales were used to collect data. Linear regression analysis was performed to determine the factors affecting ORTO-R.

RESULTS

The linear regression analysis showed that age, gender, education level, and duration of diabetes affected ORTO-R scores in patients with type 2 diabetes. Body mass index, comorbidities (cardiovascular diseases, kidney diseases and hypertension), diabetes-related complications, diabetes treatment method and dieting had no significant contribution to the model (p > 0.05). We also found that education level, comorbidities, diabetes-related complications, diabetes treatment method, dieting, and BMI can affect diabetes self-management.

CONCLUSION

It should be kept in mind that type 2 diabetes are at risk of orthorexia nervosa (ON) in terms of various aspects such as age, gender, education level and duration of diabetes. Since the factors affecting the risk of ON and the factors affecting diabetes self-management are intertwined, orthorexic tendencies should be kept under control while trying to increase self-management in these patients. In this respect, developing individual recommendations according to the psychosocial characteristics of patients may be an effective approach.

LEVEL OF EVIDENCE

Level V, cross-sectional study.

BMI mediates the association of family medical history with self-reported hypertension and diabetes among older adults: Evidence from baseline wave of the longitudinal aging study in India

Background

This study explored the association between family history of hypertension and diabetes with their diagnosis among older Indian adults. The study further examined the role of body mass index (BMI) as a potential mediator in these associations.

Methods

Data from the Longitudinal Ageing Study in India (LASI, 2017-18), wave-1 were used. The sample for the study included 31,464 older adults aged 60 years and above. Descriptive statistics and bivariate analysis has been conducted to assess the prevalence of self-reported hypertension and diabetes. Further, multivariable logistic regression models were used to test the research hypotheses of this study. The Karlson-Holm-Breen (KHB) mediation analysis was conducted to recover the direct and indirect effects of BMI in the association of family medical history and diagnosis of hypertension and diabetes.

Results

A proportion of 32.70% of older adults were diagnosed with hypertension and 14.23% of older adults were diagnosed with diabetes. A proportion of 19.48% and 14.69% of older adults had a family history of hypertension and diabetes, respectively. Also, 16.57% and 5.53% of older adults were overweight and obese, respectively in the current study. Older adults who had family history of hypertension had higher odds of being diagnosed with hypertension [aOR: 2.23, CI: 2.07-2.39] than those who had no such family history. This association was mediated by BMI (percent mediated: 6.31%). Similarly, older adults who had family history of diabetes had higher odds of being diagnosed with diabetes [aOR: 2.63, CI: 2.41-2.88] than those who had no such family history. This association was mediated by BMI (percent effect mediated: 6.66%).

Conclusion

The study highlights the relevance of using family medical history data along with information on BMI as potential source for the control and management of hypertension and diabetes among older population.

Prevalence of Childhood Obesity by Country, Family Socio-Demographics, and Parental Obesity in Europe: The Feel4Diabetes Study

The Feel4Diabetes study recruited 12,193 children (age: 8.20 ±1.01 years) and their parents from six European countries as part of the broader attempt to prevent type 2 diabetes. The current work collected data pre-intervention to identify the prevalence of childhood obesity by country and describe its association with socio-demographic characteristics and parental obesity status. One in four children were overweight or obese, and one in four families had at least one obese parent. Multivariate logistic regression examined the associations between childhood obesity, family socio-demographics, and parental obesity status. Children had a higher chance of being overweight or obese if they were living in “low income” countries (OR: 2.11, 95% CI: 1.62, 2.74) and countries “under economic crisis” (OR: 2.48, 95% CI: 1.89, 3.24) compared to “high-income” countries; if their fathers completed fewer than nine years of education (OR: 2.16, 95% CI: 1.54, 3.05) compared to children whose fathers had a higher level (>14 years) of education; and if one (OR: 2.46, 95% CI: 0.32, 0.62) or both of their parents (OR: 6.83, 95% CI: 5.15, 9.05) were obese. Future childhood obesity prevention-programs should target the whole family while taking into consideration the socioeconomic and weight status of parents. Future research should examine these associations in more countries and in socio-demographically diverse populations in order to facilitate the generalisability of the present study’s findings.

Barriers and enablers to health service access amongst people with diabetes: An exploration of the perceptions of health care staff in regional Australia

Healthcare staff are in a unique position of understanding client experiences, physiological impacts of client behaviour, the local healthcare system and the physical environment in which the services operate. Their perspectives may provide insights into the feasibility and effectiveness of existing models of diabetes care and suggestions for improvements to models of care (MoC). The objective of this qualitative study was to explore the experiences of healthcare staff delivering care for people with diabetes at the request of an existing healthcare service. Semi-structured interviews were conducted with 21 healthcare staff from three community health centres in one region of Victoria, Australia, in 2018. Interviews were audio-recorded and transcribed verbatim. Data were subject to qualitative content analysis and, subsequently, emerging themes were classified at individual, relationship, community and societal levels of the social-ecological model (SEM). Perceived barriers of access to health services using the current MoC included a lack of public transport, low socioeconomic status, job insecurity (resulting in an inability to take time away from work) and inflexible appointment times, all of which negatively impact diabetes management. Perceived enablers included having a co-located, multidisciplinary team, a holistic approach to diabetes management and motivation resulting from improvement in diabetes-related health outcomes. The findings indicate that there is potential to improve the service in this region by adopting a more integrated, team-focused and accessible MoC.

Parental Alcohol Problems, Parental Divorce, and Type 2 Diabetes in Adulthood: A Longitudinal Prospective Cohort Study in Middle-Aged Men

OBJECTIVE

Type 2 diabetes is a chronic disease and a serious global public health concern increasing both mortality and morbidity. Previous studies have found evidence for an association between early psychological stress and diabetes later in life.

METHODS

This study examined the association between parental alcohol problems and parental divorce and the incidence of type 2 diabetes in Finnish men aged 42 to 61 years (n = 754) in a prospective setting. Information on parental alcohol problems and parental divorce was derived from school records and subjective experiences of the same events from self-rated questionnaires. The average follow-up time for the participants until the first type 2 diabetes diagnosis was 23.3 years (25th-75th percentile, 21.2-27.9 years).

RESULTS

Cox regression analyses revealed that parental alcohol problems (hazard ratio = 3.09, 95% confidence interval = 1.38-6.88) were associated with an increased risk of type 2 diabetes during the follow-up, even after adjustment for age, marital status, education, Human Population Laboratory Depression Scale scores, smoking, alcohol consumption, body mass index, and serum high-sensitivity C-reactive protein. In a similar model, parental divorce (hazard ratio = 1.69, 95% confidence interval = 0.40-7.05) was not associated with an increased risk of type 2 diabetes during the follow-up.

CONCLUSIONS

Our findings suggest that not all adverse childhood experiences contribute equally to the risk of type 2 diabetes. Parental alcohol problems, but not parental divorce, were associated with an increased risk of type 2 diabetes in men. These findings highlight the need for early interventions targeting parents with excessive alcohol consumption to reduce their offspring's risk of life-style-related disorders.

Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature

BACKGROUND

in diabetes, multiple mHealth solutions were produced and implemented for self-management behaviors. However, little research on the effectiveness of psychological techniques implemented within these mHealth solutions was carried out, and even less with the elderly population where technological barriers might exist. Reliable evidence generated through a comprehensive evaluation of mHealth interventions may accelerate its growth for successful long-term implementation and to help to experience mHealth benefits in an enhanced way in all ages.

OBJECTIVE

this study aimed to review mHealth solutions for diabetes self-management in older adults (adherence to treatments and glycemic control) by analyzing the effectiveness of specific psychological techniques implemented.

METHODS

a narrative review was conducted following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. PubMed (Medline) and American Psychological Association (APA) PsycInfo databases were searched for published papers that addressed eHealth solutions' effectiveness for diabetes self-management. Studies in English, Spanish, and/or German of any design were screened, with no time constraints regarding the year of publication. A qualitative analysis of the selected papers was conducted in several steps.

RESULTS

this review found 38 studies setting up and analyzing mHealth solutions for older adults. Most research showed improvements in HbA1c, self-management behaviors, and medication adherence in T2DM patients post intervention. However, different mid-to-long term effects were found across studies, specifically concerning the maintenance and adherence to healthy behaviors. The most employed psychological framework was CBT, including techniques such as self-monitoring of outcome behaviors (mostly targeting glycemia measurements and healthy habits as physical activity and/or diet), tailored motivational feedback from medical staff, and psychoeducation or health coaches. The most successful mHealth intervention combined the feature of tailored feedback messages, interactive communication with healthcare professionals, and multifaceted functions.

CONCLUSIONS

there is a lack of elaborate and detailed information in the literature regarding the factors considered in the design and development of mHealth solutions used as interventions for T2DM self-management in the elderly. Documentation and inclusion of such vital information will foster a transparent and shared decision-making process that will ultimately lead to the development of useful and user-friendly self-management apps that can enhance the quality of life for diabetes patients. Further research adapting mHealth solutions to older adults' sensory deficits is necessary.

Diabetic education in nursing: A Rodgers' evolutionary concept analysis

AIM

This concept analysis aims to clarify the concept of diabetic education in nursing to provide guidance for the further conceptualization and clarification of diabetic education in nursing.

BACKGROUND

Patient education is a fundamental component of diabetes care. Nurses have taken up a major role in educating people with diabetes to manage their conditions. However, the exact meaning of diabetic education in nursing remains challenging.

DESIGN

Rodgers' evolutionary method of concept analysis was performed to explore the concept of diabetic education in nursing.

DATA SOURCE

We conducted a literature search on Cumulative Index to Nursing and Allied Health Literature (CINAHL), MedLine, and PsycInfo for works published until October 2020 using "patient education," "diabetes," and "nursing" as key terms.

RESULTS

The concept analysis revealed that key attributes of diabetic education in nursing include patient-centered and interactive approaches, planning, and problem solving. Antecedents related to individuals with diabetes are their backgrounds, needs, and motivations, while the antecedents related to nurses are experience and attitude. Finally, three different consequences of the concept emerged: an increase in knowledge and skills, a behavioral change, and the improvement of clinical outcomes.

Social Determinants of Poor Management of Type 2 Diabetes Among the Insured

PURPOSE OF REVIEW

Even with insurance coverage increasing over time among the population with diabetes, a large proportion continues to have poorly controlled disease. The purpose of this narrative literature review is to describe the social determinants of poor management of type 2 diabetes among the insured population and illustrate drivers of poor outcomes beyond insurance coverage.

RECENT FINDINGS

Despite the provision of health insurance, social determinants play a significant role in shaping diabetes outcomes, especially for economic instability (employment, out-of-pocket expenses associated with diabetes management), food insecurity, education and literacy, access to quality health care (health systems designed to effectively manage chronic disease), neighborhood and the built environment (segregated neighborhoods, socioeconomic conditions of communities, housing), and social and community context (discrimination, social support). Multiple social determinants shape poor diabetes outcomes among the insured. These determinants are now being further exacerbated by the COVID-19 pandemic, which has created the worst economic crisis for US families since the Great Depression. The evidence of this review points to the imperative need for more multilevel intervention approaches to address these determinants in the management of diabetes.

Socio-Demographic Characteristics and Body Weight Perceptions of Study Participants Benefitting Most from the Feel4Diabetes Program Based on Their Anthropometric and Glycaemic Profile Changes

The Feel4Diabetes program was comprised of a community-based screening and a two-year intervention phase aiming to prevent type 2 diabetes (T2D) in families at risk for diabetes across Europe. The current work aimed to identify the socio-demographic characteristics and body weight perceptions of participants who benefitted the most, achieving at least a 5% reduction in body weight, waist circumference and glycaemic indices (fasting plasma glucose, insulin, glycosylated haemoglobin levels), over two-year period. Following a two-stage screening procedure, 2294 high-risk parents were randomly allocated to standard care or more intensive intervention. The participants who benefitted most were living in Southern (OR 2.39–3.67, p < 0.001) and Eastern Europe (OR 1.55–2.47, p < 0.05), received more intensive intervention (OR 1.53–1.90, p = 0.002) and were younger (<40 years old) adults (OR 1.48–1.51, p < 0.05). Furthermore, individuals with tertiary education (OR 2.06, p < 0.001), who were unemployed (OR 1.62–1.68, p < 0.05) and perceived their body weight to be higher than normal (OR 1.58–3.00, p < 0.05) were more likely to benefit from the program. Lastly, males were more likely to show improvements in their glycaemic profiles compared to females (OR 1.40, p = 0.024). These findings point out the regions in Europe and the sociodemographic profile of individuals that benefitted the most in the current study, highlighting the need to prioritise regions in greater need for such interventions and also tailor future interventions to the characteristics and perceptions of the target populations.

Utilising clinical settings to identify and respond to the social determinants of health of individuals with type 2 diabetes-A review of the literature

Type 2 diabetes (T2DM) is increasing in global prevalence. It is more common among people with poor social determinants of health (SDoH). Social determinants of health are typically considered at a population and community level; however, identifying and addressing the barriers related to SDoH at an individual and clinical level, could improve the self-management of T2DM. This literature review aimed to explore the methods and strategies used in clinical settings to identify and address the SDoH in individuals with T2DM. A systematic search of peer-reviewed literature using the electronic databases MEDLINE, CINAHL, Scopus and Informit was conducted between April and May 2017. Literature published between 2002 and 2017 was considered. Search results (n = 1,119) were screened by title and abstract against the inclusion and exclusion criteria and n = 56 were retained for full text screening. Nine studies met the inclusion criteria. Review and synthesis of the literature revealed written and phone surveys were the most commonly used strategy to identify social determinant-related barriers to self-management. Commonly known SDoH such as; income, employment, education, housing and social support were incorporated into the SDoH assessments. Limited strategies to address the identified social needs were revealed, however community health workers within the clinical team were the primary providers of social support. The review highlights the importance of identifying current and individually relevant social determinant-related issues, and whether they are perceived as barriers to T2DM self-management. Identifying self-management barriers related to SDoH, and addressing these issues in clinical settings, could enable a more targeted intervention based on individually identified social need. Future research should investigate more specific ways to incorporate SDoH into the clinical management of T2DM.

Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model

This study intends to explore the prevalence of diabetes mellitus (DM) and its associated factors in Bangladesh. The necessary information was extracted from Bangladesh Demographic and Health Survey (BDHS) 2011. In bivariate analysis, Chi-square test was performed to assess the association between selected covariates and diabetes status. A two-level logistic regression model with a random intercept at each of the individual and regional level was considered to identify the risk factors of DM. A total of 7,535 individuals were included in this study. From the univariate analysis, the prevalence of DM was found to be 33.3% in 50-54 age group for instance. In bivariate setup, all the selected covariates except sex of the participants were found significant for DM (p < 0.05). According to the two-level logistic regression model, the chance of occurring DM increases as age of the participants' increases. It was observed that female participants were more likely to have DM. The occurrence of DM was 62% higher for higher educated participants, 42% higher for the individuals who came from rich family and 63% higher for the individuals having hypertension. The chance of developing diabetes among overweighed people was almost double. However, the individuals engaged in physical work had less chance to have DM. This study calls for greater attention of government and other concerned entities to come up with appropriate policy interventions to lower the risk of DM.

Participation in structured diabetes mellitus self-management education program and association with lifestyle behavior: results from a population-based study

OBJECTIVE

Whether participation in structured diabetes self-management education programs (DSME) for participants with diabetes mellitus is associated with a healthy lifestyle in routine care apart from randomized-controlled studies remains unclear and is this studies' research question.

RESEARCH DESIGN AND METHODS

We identified 1300 persons with diabetes mellitus drawn from the cross-sectional population-based analysis German Health Update 2014/2015 (GEDA 2014/2015), which integrated the modules of the European Health Interview Survey (EHIS) wave 2. Of those, 816 were ever-DSME participants and 484 never-participants. We conducted multivariable weighted logistic regression analyses for lifestyle differences comparing ever-DSME and never-DSME participants. Lifestyle was defined by physical activity (PA), current smoking, fruit/vegetable consumption and body mass index (BMI). Age, sex, socioeconomic status, living together, limitation due to health problems for at least for 6 months, self-efficacy and attention to one's health were included as confounders in the regression models.

RESULTS

Ever-DSME participants engaged significantly more often in cycling at least 1 day per week (OR 1.62, 95% CI: 1.15-2.30) and performed significantly more often aerobic endurance training of 150 min per week (including walking: OR 1.42, 95% CI: 1.03-1.94, without walking: OR 1.48, 95% CI: 1.08-2.03) compared with never-DSME participants. Ever-DSME participants were significantly more often ex-smoker compared with never-DSME participants (OR 1.39, 95% CI: 1.03-1.88). DSME attendance was not significantly associated with current smoking, BMI and fruit or vegetable consumption.

CONCLUSION

DSME participation is associated with a moderately healthier lifestyle particularly for PA even in routine healthcare. Study results emphasize the importance of a broadly dissemination of DSME access for nationwide diabetes healthcare. Future studies should adjust for DSME participation when investigating lifestyle in persons with diabetes.

Patients' Experiences of Diabetes Self-Management Education According to Health-Literacy Levels

Diabetes self-management is an important part of patient care for those with diabetes. The purpose of this study was to explore patients' experiences with diabetes self-management education and how these experiences differed by health-literacy levels. A descriptive qualitative design was conducted. In 2016, 20 patients with diabetes who took a formal diabetes self-management course at a university hospital in South Korea were interviewed. A conventional content analysis was conducted. Patients with low health-literacy misunderstood diabetes management, showed passive attitudes towards seeking information, and had difficulty obtaining detailed information. Patients with high health-literacy wanted systematic, in-depth, individualized counselling on lifestyle modifications and medications. Patients' experiences with diabetes self-management education revealed differences in their health-literacy dimensions. In addition to practising health-literacy precautions, the content and delivery of diabetes self-management education need to be accommodated according to patients' health-literacy levels to obtain better outcomes.

Diabetes and depression in Lebanon and association with glycemic control: a cross-sectional study

BACKGROUND

Diabetes mellitus is a chronic noncommunicable disease characterized by hyperglycemia and is associated with chronic complications affecting the overall quality of life. As of 2017, the prevalence of diabetes in Lebanon is estimated to be 14.6%. Depression is noted to be common among Lebanese citizens, present in around 17.3%. This study aims to investigate the prevalence of depression among the diabetic Lebanese citizens and to study its relationship with poor glycemic control and diabetes complications.

METHODS

In total, 436 diabetic patients participated in this cross-sectional study. Patients with diabetes mellitus attending several private clinics and health care centers were asked to fill out a well-structured questionnaire developed by an expert. Depression was assessed using Beck Depression Inventory (BDI). The study collected demographic information about the participants including their lifestyles, their last reported glycosylated hemoglobin values, and their reported microvascular and macrovascular complications. Data were collected, entered, and analyzed on SPSS software version 23.1. A descriptive analysis is carried out by calculating the mean and standard deviation for continuous variables and number and percentage for categorical ones. Association between categorical variables is evaluated using a chi-squared test. A P-value of <0.05 is considered to be significant.

RESULTS

Depression was prevalent among 28.8% of the patients with diabetes mellitus. The average age of participants was 64.08 years. In total, 280 (64.2%) of the participants were females and the average diabetes duration was 8.89 years. There was no significant relationship found between depression and glycemic control. By contrast, a significant association between retinopathy, nephropathy, and stroke and depression was found.

CONCLUSION

Depression was found to be present among 28.8% of the patients with diabetes mellitus in Lebanon; however, no association was established between depression and glycemic control.