Possible associations of personality traits representing harm avoidance and self-directedness with medication adherence in Japanese patients with type 2 diabetes

Tominaga, Yoshiko; Aomori, Tohru; Hayakawa, Tomohisa; Kijima, Nobuhiko; Morisky, Donald E.; Takahashi, Kunihiko; Mochizuki, Mayumi

doi:10.1186/s40780-018-0112-4

Cited by 16 publications

(19 citation statements)

References 30 publications

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“…In this profile, therefore, gambling could be a dysfunctional habit acquired and maintained over time as a mechanism to avoid problems and difficulties in emotion regulation. Thus, it could represent a group of patients more inclined to present poor response to treatment, as various studies have previously shown (39–41). As such, they may require treatment programs that incorporate techniques to improve these aspects, favoring a better response to therapy (8).…”

Section: Discussionmentioning

confidence: 92%

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

et al. 2019

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Background: Gambling disorder (GD) is a heterogeneous disorder which has clinical manifestations that vary according to variables in each individual. Considering the importance of the application of specific therapeutic interventions, it is essential to obtain clinical classifications based on differentiated phenotypes for patients diagnosed with GD. Objectives: To identify gambling profiles in a large clinical sample of n = 2,570 patients seeking treatment for GD. Methods: An agglomerative hierarchical clustering method defining a combination of the Schwarz Bayesian Information Criterion and log-likelihood was used, considering a large set of variables including sociodemographic, gambling, psychopathological, and personality measures as indicators. Results: Three-mutually-exclusive groups were obtained. Cluster 1 ( n = 908 participants, 35.5%), labeled as “high emotional distress,” included the oldest patients with the longest illness duration, the highest GD severity, and the most severe levels of psychopathology. Cluster 2 ( n = 1,555, 60.5%), labeled as “mild emotional distress,” included patients with the lowest levels of GD severity and the lowest levels of psychopathology. Cluster 3 ( n = 107, 4.2%), labeled as “moderate emotional distress,” included the youngest patients with the shortest illness duration, the highest level of education and moderate levels of psychopathology. Conclusion: In this study, the general psychopathological state obtained the highest importance for clustering.

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Section: Discussionmentioning

confidence: 92%

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

et al. 2019

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“…As another predictor of medical adherence in T2DM patients, BMI, diabetes knowledge, and family history of diabetes were identified. Tominaga et al reported that older age was significantly associated with better medication adherence [39]. A high BMI (obesity) and a family history of diabetes are significantly and positively associated with the risk of T2DM progression [40–42].…”

Section: Discussionmentioning

confidence: 99%

The relationship between patients’ perception of type 2 diabetes and medication adherence: a cross-sectional study in Japan

Hashimoto

Urata

Yoshida

et al. 2019

J Pharm Health Care Sci

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BackgroundThe self-management of type 2 diabetes mellitus (T2DM), which involves adherence to medical instructions on diet and nutritional advice, physical activity, medication regimen, and weight and stress management, is necessary for the treatment of T2DM.In this study, we investigated the relationship between patients’ perceptions of their disease and their adherence to their medications. And we attempted to determine whether distinct subphenotypes of behavioral change of medication adherence can be discerned based on a patients’ perceptions.MethodA cross-sectional study using a questionnaire was conducted among 157 patients with T2DM from October 2015 to September 2017. Questionnaires were administered to assess the participants’ demographic and clinical characteristics, medication adherence, diabetes knowledge, and perception of being diabetic. Principal component analysis (PCA) and cluster analyses were performed to classify medication adherence patterns in the total cohort. Multiple regression analyses were performed to identify the determinant factors of medication adherence.ResultsPCA showed the interpretable medication adherence of patients with diabetes by using component 1 (“accessibility to medical treatment”) and component 2 (“status of taking medicines”). We identified four groups that show significantly different medication adherence by using cluster analysis on the basis of the two components. Multiple regression analysis showed that body mass index (BMI), family history of diabetes, one factor of patient’s perception (living an orderly life), and diabetes knowledge were found to be significant predictors of medication adherence in patients with T2DM.ConclusionsIn patients with T2DM, the patient’s diabetes perception of “living an orderly life” is associated with medication adherence. A poor adherence group may be able to change their adherence to diabetes treatment by developing the perception of “living an orderly life.”Electronic supplementary materialThe online version of this article (10.1186/s40780-019-0132-8) contains supplementary material, which is available to authorized users.

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“…According to the studies about medication adherence in diabetes treatment, depression and medical costs are found to be consistent factors in systematic review [5]. Also, age [6], self-e cacy [7], and personality traits [6] are potential factors to be associated with medication adherence. However, knowing underlining potential factors does not mean to solve nonadherence problems because multiple factors may exist in each individual patient and some of them are not modi able.…”

Section: Introductionmentioning

confidence: 93%

A cross-sectional study clarifying profiles of patients with diabetes who discontinued pharmacotherapy: reasons and consequences.

Tominaga

Morisky

Mochizuki

2020

Preprint

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Background: Although diabetes is one of the fastest increasing diseases in prevalence worldwide and demands significant medical resources, more than half of all patients with diabetes do not achieve the expected target level of blood glucose. As a potential cause of poor glycemic control, insufficient adherence to medication has long been discussed and variably studied. However, dropout from treatment as another plausible cause has not been fully examined. The aim of this study was to clarify profiles of patients with diabetes who discontinued pharmacotherapy (Discont group) by extracting reasons of their decisions and by comparing results with those who continued (Cont group).Methods: A cross-sectional, internet-based survey was conducted among Japanese with diabetes registered in a database. A self-administered questionnaire consisting of the 8-item version of the Morisky Medication Adherence Scale (MMAS-8), glycosylated haemoglobin (HbA1c) level, and demographic and disease characteristics was completed by all participants. Reasons for medication discontinuation and resumption were also received from participants in the Discont group. To examine the risk of uncontrolled HbA1c, logistic regression analysis was conducted in each group.Results: In the Discont group (148 cases), older age at resumption of pharmacotherapy and current smoking habit increased the probability of uncontrolled HbA1c, whereas in the Cont group (146 cases), a familial history of diabetes and better medication adherence in MMAS-8 scores decreased the probability of uncontrolled HbA1c. A relationship between medication adherence and HbA1c level was seen in the Cont but not in the Discont group. About 70% of those in the Discont group made their decision to terminate diabetes treatment without consulting physicians.Conclusions: Those who discontinued pharmacotherapy were less adherent to medication than those who did not discontinue. Risk factors for glycemic control also differed between those who discontinued and those who did not. More than one-third of participants with diabetes who discontinued pharmacotherapy had inappropriate perceptions of their disease, which medical professionals should be aware of for better inventions.

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Possible associations of personality traits representing harm avoidance and self-directedness with medication adherence in Japanese patients with type 2 diabetes

Cited by 16 publications

References 30 publications

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

The relationship between patients’ perception of type 2 diabetes and medication adherence: a cross-sectional study in Japan

A cross-sectional study clarifying profiles of patients with diabetes who discontinued pharmacotherapy: reasons and consequences.

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