Determinants for quality of life trajectory patterns in patients with type 2 diabetes

Wang, Ruey‐Hsia; Lin, Kuan Chia; Hsu, Hui Chun; Lee, Yau Jiunn; Shin, Shyi Jang

doi:10.1007/s11136-018-2013-2

Cited by 14 publications

(20 citation statements)

References 33 publications

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“…A Chinese version 15-item Diabetes-Specific Quality-of-Life Scale was used to assess the perceptions of health-related life affected by diabetes (Wang et al, 2019). Each item was rated from “very much” (0 points) to “not at all” (4 points).…”

Section: Methodsmentioning

confidence: 99%

“…A systematic review indicated that overall prevalence of diabetes stress was 36% in those with Type 2 diabetes (Perrin et al, 2017). Longitudinal studies have supported that higher diabetes distress is significantly associated with subsequently suboptimal D-QoL and A1C levels (Lee et al, 2018; Wang et al, 2019). Accordingly, diabetes distress is recognized as associating with D-QoL and A1C levels and should not be ignored when examining psychosocial factors contributing to diabetes outcomes in younger WD.…”

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confidence: 99%

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The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

Wang

Chen

Hsu³

et al. 2021

Biological Research For Nursing

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Purposes: Women with diabetes (WD) are more severely impacted by the consequence of suboptimal diabetes control. This study aims to examine the impact of demographic and disease characteristics, baseline self-stigma, role strain, diabetes distress on Hemoglobin A1C (A1C) levels, quality of life (D-QoL) and 6-month A1C levels in younger WD. Methods: This study was a 6-month prospective study. In total, 193 WD aged 20–64 years were selected by convenience sampling from three outpatient clinics in Taiwan. Demographic and disease characteristics, self-stigma, role strain, diabetes distress, A1C levels, and D-QoL were collected at baseline. A1C levels were further collected 6 months later. Structural equation modeling was conducted to test the hypothesized model. Results: The final model supported that higher baseline D-QoL directly associated with lower concurrent A1C levels and indirectly associated with lower 6-month A1C levels through baseline A1C levels. Higher baseline self-stigma, role strain, and diabetes distress directly associated with lower baseline D-QoL, and indirectly associated with higher 6-month A1C levels through D-QoL. Conclusion: Improving self-stigma, role strain, and diabetes distress should be considered as promising strategies to improve D-QoL in young WD. D-QoL plays a mediation role between baseline self-stigma, role strain, diabetes distress and subsequent glycemic control in younger WD. Enhancing baseline D-QoL is fundamental to improve subsequent glycemic control.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

Wang

Chen

Hsu³

et al. 2021

Biological Research For Nursing

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“…Life satisfaction of people with T2DM is significantly correlated with changes in self‐perceived health status (Baumann et al., 2017). The control of glycated haemoglobin value has a significant impact on their mood and quality of life (Wang et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Life satisfaction and emotional distress in people living with type 2 diabetes mellitus: The mediating effect of cognitive function

Lee

Hsieh

Lin

2021

Journal of Clinical Nursing

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Aims and objectives To explore the relationships among emotional distress, cognitive function and life satisfaction in people living with type 2 diabetes mellitus (T2DM), and to verify the mediating role of cognitive function. Background People with T2DM face cognitive decline caused by age and disease complications. Emotional distress will reduce their life satisfaction, and cognitive function will also affect the life satisfaction, but whether cognitive function mediates the effect of emotional distress on life satisfaction has not been verified. Design A cross‐sectional study. Methods A total of 200 people living with T2DM in the community by convenience sampling were enrolled from November–December 2018. Data collection involved a demographic and disease characteristic questionnaire, Problem Areas in Diabetes Scale, Subjective and Objective Cognitive Function Evaluation and Life Satisfaction Questionnaire. Data analysis included descriptive statistics and structural equation modelling. This report followed the STROBE guideline. Results The emotional distress and subjective memory complaints of cognitive function had a significant positive correlation, while both emotional distress and cognitive function showed significant negative correlations with life satisfaction. In addition, cognitive function completely mediated the relationship between emotional distress and life satisfaction. Conclusion The cognitive function played a mediating role in life satisfaction and explains how emotional distress affects life satisfaction of people with T2DM. Therefore, it is suggested that diabetes nurses should early identify the decline of cognitive function, and to intervene at an early stage. Relevance to clinical practice This study provides opinions on the mediating factors of cognitive function. Coping strategies and supporting resources to help the T2DM people to improve their life satisfaction are suggested.

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“…Individuals belonging to the same class are similar to each other while they are quite different from those classified in other classes. Examples of the recent application of the person-oriented approach in health research are the identification of: specific disease-prone personality types [19–21], longitudinal trajectories of neuropsychological symptoms and cognitive decline in patients with Alzheimer’s diseases [22,23], longitudinal pattern of change of lifestyle following acute coronary syndrome [24,25], and determinants of trajectories of quality of life in people with type 2 diabetes [26]. Concerning prostate cancer, Chambers et al (2017) [27] applied a person-oriented approach to understand which factors can affect different trajectories of patients’ recovery in Quality of Life, life satisfaction and psychological adjustment after different prostate cancer treatments, but nobody has already focused the study research on physical function’s recovery in men with prostate cancer after RARP surgery.…”

Section: Introductionmentioning

confidence: 99%

Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)

et al. 2019

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Objective To identify trends of patients’ urinary and sexual dysfunctions from a clinical and psychological perspective and understand whether sociodemographic and medical predictors could differentiate among patients following different one-year longitudinal trajectories. Methods An Italian sample of 478 prostate cancer patients undergone Robot-Assisted Radical Prostatectomy completed the EPIC-26 survey between July 2015 and July 2016 at the pre-hospitalization (T0), 45 days (T1) and 3 (T2), 6 (T3), 9 (T4), and 12 months (T5) after surgery. Sociodemographic and clinical characteristics (age, BMI, diabetes, nerve-sparing procedure) were also collected. Latent Class Growth Analysis was conducted separately for sexual dysfunction and urinary incontinence EPIC-26 subscales. The association between membership in the two longitudinal trajectories of urinary and sexual dysfunctions was assessed by considering Chi-square test and its related contingency table. Results People who have a high level of urinary incontinence at T1 are likely to have a worse recovery. Age, BMI and pre-surgical continence may affect the level of incontinence at T1 and the recovery trajectories. Patients with low and moderate sexual problems at T1 can face a moderate linear recovery, while people with high level of impotence immediately after surgery may take a longer period to solve sexual dysfunctions. Age and the pre-surgical sexual condition may impact the recovery. Finally, a great proportion of patients reported both steady problems in sexual function and constant high levels of urinary incontinence over time. Conclusions This study highlights different categories of patients at risk who may be important to know in order to develop personalized medical pathways and predictive models in a value-based healthcare.

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Determinants for quality of life trajectory patterns in patients with type 2 diabetes

Cited by 14 publications

References 33 publications

The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

Life satisfaction and emotional distress in people living with type 2 diabetes mellitus: The mediating effect of cognitive function

Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)

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