Individual differences in impulsivity and need for cognition as potential risk or resilience factors of diabetes self-management and glycemic control

Hadj-Abo, Alexander; Enge, Sören; Rose, Jörn; Kunte, Hagen; Fleischhauer, Monika

doi:10.1371/journal.pone.0227995

Cited by 16 publications

(20 citation statements)

References 66 publications

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“…Higher self-efficacy would be associated with increased self-care and management understanding, as well as fewer management problems and perceived barriers to care. Self-efficacy would mediate the relationship between impulsivity and diabetes self-care, similar to previous research [ 18 ]. Lastly, differences in impulsivity (DD and BIS-11), self-efficacy, and self-care between individuals diagnosed with Type 2 diabetes compared to those diagnosed with prediabetes were also tested for.…”

Section: Introductionsupporting

confidence: 87%

“…Cronbach’s alphas between 0.79 and 0.83 have been reported in the general population [ 15 ]. A Cronbach’s alpha = 0.95 was recently reported for individuals diagnosed with Type 2 diabetes [ 18 ].…”

Section: Methodsmentioning

confidence: 99%

“…More recently, Hadj-Abo et al [ 18 ] assessed the relationship between self-reported HbA1c levels, diabetes self-management, impulsivity as measure through the BIS-11, diabetes-specific self-efficacy, and need for cognition in individuals diagnosed with Type 2 diabetes. Like the DD studies described above [ 11 , 12 , 14 ], self-reported impulsivity was significantly negatively associated with self-reported HbA1c levels.…”

Section: Introductionmentioning

confidence: 99%

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Associations between impulsivity and self-care adherence in individuals diagnosed with Type 2 or prediabetes

2022

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Diabetes is a chronic disease requiring extensive self-care. Different impulsivity constructs, including choice-based and self-report personality measures are associated with decreasing diabetes self-care adherence. However, both choice-based and self-report impulsivity have never been measured for individuals diagnosed with either Type 2 or prediabetes in the same study. The current study examined the relationship between impulsivity and diabetes self-care in 101 adults diagnosed with either Type 2 or prediabetes. Results indicated that increasing self-reported impulsiveness was significantly correlated with decreasing Type 2 diabetic self-care, whereas the choice-based measure was not associated with any self-care measure. No association between impulsivity and self-care was significant for individuals diagnosed with prediabetes. Path analyses showed that self-reported impulsiveness directly and positively predicted problems controlling blood sugar levels in individuals diagnosed with either prediabetes or Type 2 diabetes. However, self-reported impulsiveness only indirectly and negatively predicted exercise and diet adherence via diabetes management self-efficacy for individuals diagnosed with Type 2 diabetes. These results show what specific impulsivity constructs and diabetes management self-efficacy may be incorporated into interventions for increasing specific self-care behaviors.

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Section: Introductionsupporting

confidence: 87%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Associations between impulsivity and self-care adherence in individuals diagnosed with Type 2 or prediabetes

2022

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“…Diabetes mismanagement resulting in high blood glucose levels can cause several secondary diseases [ 64 ], which could lead to death. Understanding type 1 diabetes and blood glucose concentration levels in individuals at certain significant time points is important in treatment and management of the disease.…”

Section: Discussionmentioning

confidence: 99%

Examining Type 1 Diabetes Mathematical Models Using Experimental Data

Ali

Daneshkhah

Boutayeb

et al. 2022

IJERPH

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Type 1 diabetes requires treatment with insulin injections and monitoring glucose levels in affected individuals. We explored the utility of two mathematical models in predicting glucose concentration levels in type 1 diabetic mice and determined disease pathways. We adapted two mathematical models, one with β-cells and the other with no β-cell component to determine their capability in predicting glucose concentration and determine type 1 diabetes pathways using published glucose concentration data for four groups of experimental mice. The groups of mice were numbered Mice Group 1–4, depending on the diabetes severity of each group, with severity increasing from group 1–4. A Markov Chain Monte Carlo method based on a Bayesian framework was used to fit the model to determine the best model structure. Akaike information criteria (AIC) and Bayesian information criteria (BIC) approaches were used to assess the best model structure for type 1 diabetes. In fitting the model with no β-cells to glucose level data, we varied insulin absorption rate and insulin clearance rate. However, the model with β-cells required more parameters to match the data and we fitted the β-cell glucose tolerance factor, whole body insulin clearance rate, glucose production rate, and glucose clearance rate. Fitting the models to the blood glucose concentration level gave the least difference in AIC of 1.2, and a difference in BIC of 0.12 for Mice Group 4. The estimated AIC and BIC values were highest for Mice Group 1 than all other mice groups. The models gave substantial differences in AIC and BIC values for Mice Groups 1–3 ranging from 2.10 to 4.05. Our results suggest that the model without β-cells provides a more suitable structure for modelling type 1 diabetes and predicting blood glucose concentration for hypoglycaemic episodes.

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“…Resilience is a positive predictor of self-management in patients with chronic diseases (51,52). Resilient patients are prone to adopt more self-management behaviors to achieve disease control (53,54). Mediating effects between psychosocial burden and physical outcomes have been shown for various positive personality traits.…”

Section: Discussionmentioning

confidence: 99%

Resilience as a Mediator of the Association Between Perceived Stigma and Quality of Life Among People With Inflammatory Bowel Disease

et al. 2021

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Background: Improving Quality of Life (QOL) is an essential objective in the management of inflammatory bowel disease. An accumulating body of research has been conducted to explore the association between perceived stigma and QOL among patients with chronic illness. Still, underlying mechanisms behind this pathway have not been thoroughly examined.Objective: To investigate (a) the effect of perceived stigma on QOL among patients with inflammatory bowel disease; and (b) the mediating role of resilience in the association between perceived stigma and QOL.Methods: This cross-sectional study included a convenient sample of patients diagnosed with inflammatory bowel disease from four tertiary hospitals in Jiangsu Province, China. Patients completed the Perceived Stigma Scale in Inflammatory Bowel Disease (PSS-IBD), the Resilience Scale for Patients with Inflammatory Bowel Disease (RS-IBD), and the Inflammatory Bowel Disease Questionnaire (IBDQ). A bootstrapping analysis was implemented using the SPSS macro PROCESS.Results: A total of 311 patients with Cohn's disease and ulcerative colitis participated in this study, and 57.6% were men. The mean disease duration was 3.51 ± 1.04 years. Approximately 40% of the sample exceeded the criterion score for moderate stigma. Patients who perceived moderate or severe stigma reported lower QOL compared with those with mild stigma. After controlling for sociodemographic and clinical variables, we observed that perceived stigma was negatively associated with resilience. Moreover, resilience was found to mediate the relationship between perceived stigma and all aspects of QOL.Conclusions: These findings suggested that QOL of patients with inflammatory bowel disease was associated with perceived stigma and resilience and identified the mediating effects of resilience in the relationship between perceived stigma and QOL. Furthermore, this suggests that integrating intervention techniques to target resilience into the QOL improvement program of individuals with perceived stigma is possible.

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Individual differences in impulsivity and need for cognition as potential risk or resilience factors of diabetes self-management and glycemic control

Cited by 16 publications

References 66 publications

Associations between impulsivity and self-care adherence in individuals diagnosed with Type 2 or prediabetes

Associations between impulsivity and self-care adherence in individuals diagnosed with Type 2 or prediabetes

Examining Type 1 Diabetes Mathematical Models Using Experimental Data

Resilience as a Mediator of the Association Between Perceived Stigma and Quality of Life Among People With Inflammatory Bowel Disease

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