Classification of adult patients with type 2 diabetes using the Temperament and Character Inventory

Precision subclassification of type 2 diabetes: a systematic review

BACKGROUND

Heterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients.

METHODS

We searched PubMed and Embase for publications that used 'simple subclassification' approaches using simple categorisation of clinical characteristics, or 'complex subclassification' approaches which used machine learning or 'omics approaches in people with established type 2 diabetes. We excluded other diabetes subtypes and those predicting incident type 2 diabetes. We assessed quality, reproducibility and clinical relevance of extracted full-text articles and qualitatively synthesised a summary of subclassification approaches.

RESULTS

Here we show data from 51 studies that demonstrate many simple stratification approaches, but none have been replicated and many are not associated with meaningful clinical outcomes. Complex stratification was reviewed in 62 studies and produced reproducible subtypes of type 2 diabetes that are associated with outcomes. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into clinically meaningful subtypes.

CONCLUSION

Critical next steps toward clinical implementation are to test whether subtypes exist in more diverse ancestries and whether tailoring interventions to subtypes will improve outcomes.

The Association between Personality Factors and Metabolic Parameters among Patients with Non-Alcoholic-Fatty Liver Disease and Type 2 Diabetes Mellitus-A Cross-Sectional Study

BACKGROUND

The increasing prevalence of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD) states a serious problem for public health. The introduction of effective methods of treatment and prevention is crucial to avoid complications of these diseases. Among them, we can specify psychological factors that affect everyday life and determine the patient's attitude towards therapy, and what follows, their compliance in treatment. The literature indicates these connections in various ways; in our study, we extend this view to include a broader perspective of human personality.

OBJECTIVE

We decided to investigate the associations between personality factors and metabolic parameters in patients with NAFLD and T2DM in order to better understand the patient's approach to the treatment of a chronic disease, such as those mentioned, and to establish the basis for further research implementing psychological interventions in the treatment of NAFLD and T2DM.

METHODS

One hundred participants with NAFLD and T2DM underwent blood tests and anthropometric measures. Each of them was asked to complete five questionnaires evaluating their personality properties.

RESULTS

We revealed that a rise in body mass index is related to a fall in the emotional intelligence factor of utilizing emotions, and a rise in emotional perception. The decrease in task-oriented coping style and a rise in emotion-oriented coping style are associated with a waist-hip ratio increase. The increase in fasting plasma glucose is predicted by a decrease in task-oriented coping style score. A fall in social diversion coping style score is associated with a high-density lipoprotein increase; in turn, a triglycerides increase is connected with a decline in rhythmicity score.

CONCLUSIONS

The personality factors are in relationship in the management of NAFLD and T2DM. They affect a patient's approach to treatment, which is very important, because we know lifestyle and dietary interventions are an important part of the treatment of these diseases. The compliance manifests by lifestyle modifications, taking medications regularly, measuring blood glucose, and inspection visits in outpatients' clinics are a large part of a diabetic's life. Future studies introducing psychological intervention to improve, e.g., coping styles or rhythmicity are needed to implement new methods of patient management.

Systematic review of precision subclassification of type 2 diabetes

Heterogeneity in type 2 diabetes presentation, progression and treatment has the potential for precision medicine interventions that can enhance care and outcomes for affected individuals. We undertook a systematic review to ascertain whether strategies to subclassify type 2 diabetes are associated with improved clinical outcomes, show reproducibility and have high quality evidence. We reviewed publications that deployed 'simple subclassification' using clinical features, biomarkers, imaging or other routinely available parameters or 'complex subclassification' approaches that used machine learning and/or genomic data. We found that simple stratification approaches, for example, stratification based on age, body mass index or lipid profiles, had been widely used, but no strategy had been replicated and many lacked association with meaningful outcomes. Complex stratification using clustering of simple clinical data with and without genetic data did show reproducible subtypes of diabetes that had been associated with outcomes such as cardiovascular disease and/or mortality. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into meaningful groups. More studies are needed to test these subclassifications in more diverse ancestries and prove that they are amenable to interventions.

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review

Background

Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.

Methods

The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.

Results

Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.

Conclusions

Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01209-w.

Levels of personality functioning and not depression predict decline of plasma glucose concentration in patients with type 2 diabetes mellitus

AIMS

Psychosocial variables influence chronic diseases, such as type 2 diabetes mellitus. While there is evidence for a negative impact of depression, much less is known about stable, personality oriented factors. Aim of the study was to assess the impact of depression and personality functioning on glucose regulation in patients with type 2 diabetes.

METHODS

Seventy-five adult individuals with a first diagnosis of type 2 diabetes were consecutively recruited in an outpatient medical practice. Plasma glucose (HbA1c) was measured at initial contact, and after three and six months of a standardized disease management program. Depression was assessed by self-report (Patient Health Questionnaire, PHQ-D), levels of personality functioning with the screening version of the Operationalized Psychodynamic Diagnosis structure questionnaire (OPD-SQS).

RESULTS

Using mixed regression models, OPD-SQS scores were associated with lower baseline levels of HbA1c, but a less steep decline over time. PHQ-D scores were neither associated with intercept nor with slopes of HbA1c.

CONCLUSIONS

In type 2 diabetes, levels of personality functioning but not depression predicted decline in plasma glucose during the first six months of a standardized disease management program. Personality functioning may be especially important in chronic diseases that demand a high level of compliance and lifestyle change.

Is there any relationship between medication compliance and affective temperaments in patients with type 2 diabetes?

Background

Type 2 diabetes mellitus (DM) is the most common type of diabetes.The number of patients with this disease is expected torise in future. Given the increasing prevalence of diabetes, there is an urgent need for the treatment of diabetes and the associated complications. Glycemic control largely depends on compliance with medication therapies. In fact, the most common problem in patients with diabetes is lack of medication compliance. This study aimed to determine the relationship between affectivetemperaments and medication compliance in patients with type 2 diabetes.

Methods

In this cross-sectional research, the study population consisted of all patients referring to the endocrinology clinic of Ayatollah Taleghani Hospital of Tehran in 2010 and 2011. Two hundreds and seven patients were selected, using available sampling method. In this study, we used Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Auto questionnaire (TEMPS-A), a single-item scale of medication compliance, Beck Depression Inventory-II (BDI-II), and a researcher-made questionnaire to assess the patients’ demographic information. All participants completed the questionnaires related to affective temperaments, medication compliance, depression and demographic information. The obtained data were recorded on the prepared sheets.

Results

Of 207 patients, 79 (38.2%) and 128 (61.8%) subjects were male and female, respectively. The mean and standard deviation of demographic data were calculated. In total, 13.5%, 19.3%, and 8.2%of the participants had mild, moderate, and severe depression, respectively. In this study, as the single-item rating scale indicated, medication compliance and non-compliance were reported in 75.4% and 24.6% of the patients, respectively. Among the demographic characteristics and clinical variables, frequency of patient referral and glycated hemoglobin level were predictors of medication compliance. Also, among affective temperaments, irritable temperament was a predictor of medication compliance.

Conclusions

The obtained findings emphasize the importance of psychological factors such as personality characteristics in medication compliance of patients with diabetes. In case a patient obtains high scores in irritable temperament (which indicate poor medication compliance), he/she should follow special training programs to improve his/her medication compliance.

The impact of personality on quality of life and disease activity in patients with Behcet's disease: a pilot study

BACKGROUND

The aim of this study was to examine the personality characteristics of patients with Behcet's Disease (BD) using the Temperament and Character Inventory (TCI) compared with healthy control subjects and to investigate the relationship between the temperament and character properties and quality of life, disease activity, depression and anxiety in Behcet's patients.

METHODS

A total of 46 BD patients and 40 healthy subjects were included in the study. All patients and controls were determined using the TCI, Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders Clinical Version for Axis I disorders (SCID-CV), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Quality of life (QOL) Instrument for Skin Disorders and Behcet Disease Current Activity Form (BDCAF).

RESULTS

BD patients demonstrated significantly lower Reward Dependence than healthy controls. Among the subscales; Explarotory Excitability, Shyness with Strangers, Attachment, Spiritual Acceptance were lower and Self-Acceptance was higher in patients compared to control subjects. Decreased quality of life and increased disease activity of the patients were correlated with increased anxiety and depression. Responsibility, Self-Forgetfulness and Transpersonal Identification were associated with quality of life while Responsibility was the major factor effecting QOL. Disease activity was not found related with TCI properties.

CONCLUSION

Temperament and Character traits of BD patients were different from healthy group that might be due to many factors like genetics, biological or socio-cultural differences. BD patients were demonstrated as materialistic, self-contained, self-confident, cold, detached, and reserved although they are not shy. Considering the different personality traits of BD patients in psychotherapeutic approaches, may have a positive impact on QOL and comorbid major depressive disorder.