Type II diabetes and personality; a study to explore other psychosomatic aspects of diabetes

Esmaeilinasab, Maryam; Ebrahimi, Mehdi; Mokarrar, Mohsen Heidari; Rahmati, Leila; Mahjouri, Mohammad Yoosef; Arzaghi, Seyed Masoud

doi:10.1186/s40200-016-0281-3

Cited by 33 publications

(49 citation statements)

References 14 publications

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“…21 On the other hand, a positive relationship between HbA1c and neuroticism has been suggested in Iran, although confounding factors were not controlled. 22 Previous studies have shown that extraversion is consistently and inversely associated with HbA1c in Korean patients, 17 Iranian patients 22 and American patients 19 with T2DM. However, we failed to find this association.…”

Section: Discussionmentioning

confidence: 95%

“…Several studies tried to find some associations between glycemic control and Five-Factor Model personality using simple regression model, which showed inconsistent results. [16][17][18][19][20][21][22] However, few studies have examined the comprehensive links using multifactor analysis, including lifestyle factors and psychological problems such as depression and insomnia, between the Five-Factor Model and glycemic control among individuals with chronic T2DM.…”

Section: Introductionmentioning

confidence: 99%

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Personality Traits Do Not Have Influence on Glycemic Control in Outpatients with Type 2 Diabetes Mellitus

Yasui‐Furukori

Murakami

Otaka

et al. 2020

Psychiatry Investig

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ular may be associated with increased psychological distress. 4 Personality variability plays a determinant role in individual stress reactivity and psychological adjustment to diabetes, which may result in the onset of depressive symptoms. 5,6 Previous studies have suggested that individuals with T2DM and depressive and anxious temperaments adjust differently to diabetes and have worse self-management and metabolic control than subjects without a predominant affective personality. [7][8][9] Recently, the Five-Factor Model has been widely used in both clinical practice and scientific research to conceptualize personality. 10 Goodwin and Friedman have shown that people with diabetes have lower conscientiousness and openness and higher agreeableness than people without diabetes. 11 Goodwin, Cox, and Clara reported that neuroticism was related to an increased risk of diabetes. 12 In addition, a meta-analysis of five cohort studies revealed that diabetes incidence was associated with only low conscientiousness. 13 We have reported that neuroticism is associated with insomnia 14 and depressive sta-

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Personality Traits Do Not Have Influence on Glycemic Control in Outpatients with Type 2 Diabetes Mellitus

Yasui‐Furukori

Murakami

Otaka

et al. 2020

Psychiatry Investig

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“…In 2017, Novak et al studied 117 couples with diabetes and demonstrated that neuroticism reduces dietary and exercise Journal of Diabetes Research adherence and is therefore associated with lower diabetic efficacy [41]. Similarly, an Iranian study of type 2 diabetic patients reported neuroticism to be positively correlated with poor glycaemic control, while extraversion and conscientiousness were inversely correlated [42]. In addition, an Australian study of type 1 diabetic patients also reported that conscientiousness and agreeableness are significant predictors of good glycaemic control [43].…”

Section: Discussionmentioning

confidence: 99%

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not

Abdullah

Sidi

Ravindran

et al. 2020

Journal of Diabetes Research

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Objective. Diabetes mellitus is one of the most common noncommunicable diseases in Malaysia. It is associated with significant complications and a high cost of treatment, especially when glycaemic control is poor. Despite its negative impact on health, data is still lacking on the possible biopsychosocial predictors of poor glycaemic control among the diabetic population. This study is aimed at determining the prevalence of poor glycaemic control as well as its association with biopsychosocial factors such as personality traits, psychiatric factors, and quality of life (QOL) among Malaysian patients with diabetes. Methods. A cross-sectional study was conducted at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using outpatient population diabetic patients. Demographic data on social and clinical characteristics were collected from participants. Several questionnaires were administered, including the Beck Depression Inventory-II (BDI-II) to measure depressive symptoms, the Generalized Anxiety Disorder-7 (GAD-7) to assess anxiety symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the WHO Quality of Life-BREF (WHOQOL-BREF) to assess QOL. Multivariate binary logistic regression was performed to determine the predictors of poor glycaemic control. Results. 300 patients with diabetes mellitus were recruited, with the majority (90%) having type 2 diabetes. In this population, the prevalence of poor glycaemic control (HbA1C≥7.0%) was 69%, with a median HbA1C of 7.6% (IQR=2.7). Longer duration of diabetes mellitus and a greater number of days of missed medications predicted poor glycaemic control, while older age and overall self-perception of QOL protected against poor glycaemic control. No psychological factors were associated with poor glycaemic control. Conclusion. This study emphasizes the importance of considering the various factors that contribute to poor glycaemic control, such as duration of diabetes, medication adherence, age, and QOL. These findings should be used by clinicians, particularly when planning a multidisciplinary approach to the management of diabetes.

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“…There have been attempts to determine the psychosocial factors that might influence effective adherence to medical recommendations in diabetic patients described in the literature. 12 – 14 The patient’s appropriate attitude toward the disease is of particular significance in this context. Health psychology defines the attitude toward a disease in three dimensions: cognitive (the patient’s knowledge about the disease and treatment process), emotional (emotions the patient experiences regarding the disease), and behavioral (actions taken by the patient with respect to the disease and treatment process).…”

Section: Introductionmentioning

confidence: 99%

“… 14 , 16 , 18 A considerably greater number of studies have analyzed the relationship between psychological factors and adherence to dietary recommendations. 6 – 8 , 12 , 17 Also, there are no papers researching the role of mediating factors in this relationship, where they are related directly to the treatment of diabetic patients. Therefore, the aim of this paper was to analyze the relationship between selected independent variables (eg, blood glucose testing, occurrence of complications, and doing enough physical activity) and the level of the patient’s compliance with dietary recommendations, considering the mediation role of the patient’s level of disease acceptance.…”

Section: Introductionmentioning

confidence: 99%

Adherence to dietary recommendations in diabetes mellitus: disease acceptance as a potential mediator

Jaworski

Pańczyk

Cedro

et al. 2018

PPA

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BackgroundAdherence by diabetic patients to dietary recommendations is important for effective therapy. Considering patients’ expectations in case of diet is significant in this regard. The aim of this paper was to analyze the relationship between selected independent variables (eg, regular blood glucose testing) and patients’ adherence to dietary recommendations, bearing in mind that the degree of disease acceptance might play a mediation role.Subjects and methodsA cross-sectional study was conducted in 91 patients treated for type 2 diabetes mellitus in a public medical facility. Paper-and-pencil interviewing was administered ahead of the planned visit with a diabetes specialist. Two measures were applied in the study: the Acceptance and Action Diabetes Questionnaire and the Patient Diet Adherence in Diabetes Scale. Additionally, data related to sociodemographic characteristics, lifestyle-related factors, and the course of the disease (management, incidence of complications, and dietician’s supervision) were also collected. The regression method was used in the analysis, and Cohen’s methodology was used to estimate partial mediation. Significance of the mediation effect was assessed by the Goodman test. P-values of <0.05 were considered statistically significant.ResultsPatients’ non-adherence to dietary recommendations was related to a low level of disease acceptance (standardized regression coefficient =−0.266; P=0.010). Moreover, failure to perform regular blood glucose testing was associated with a lack of disease acceptance (standardized regression coefficient =−0.455; P=0.000). However, the lack of regular blood glucose testing and low level of acceptance had only partially negative impacts on adherence to dietary recommendations (Goodman mediation test, Z=1.939; P=0.054). This dependence was not seen in patients treated with diet and concomitant oral medicines and/or insulin therapy.ConclusionEffective dietary education should include activities promoting a more positive attitude toward the disease. This may be obtained by individual counseling, respecting the patient’s needs, and focus on regular blood glucose testing.

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Type II diabetes and personality; a study to explore other psychosomatic aspects of diabetes

Cited by 33 publications

References 14 publications

Personality Traits Do Not Have Influence on Glycemic Control in Outpatients with Type 2 Diabetes Mellitus

Personality Traits Do Not Have Influence on Glycemic Control in Outpatients with Type 2 Diabetes Mellitus

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not

Adherence to dietary recommendations in diabetes mellitus: disease acceptance as a potential mediator

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