Effectiveness of a Digital Decision Aid for Nutrition Support in Women with Gynaecological Cancer: A Comparative Study.

This study aimed to examine the effects of an animated Patient Decision Aid (PtDA) about dietary choices on decisional conflict and decision regret. A prospective, observational, two-group comparative effectiveness study was conducted with patients (n = 90) from a southern Taiwan oncology inpatient unit. Data included the Malnutrition Universal Screening Tool (MUST), laboratory results, 16-item Decisional Conflict Scale (sf-DCS), and 5-item Decision Regret Scale (DRSc). Data were collected at admission (T0), after the first-cycle of chemotherapy but before discharge (T1), and after the six-cycle chemotherapy protocol (T2) (around 3 months). Group A received standardized nutrition education and a printed brochure, while Group B watched a 10-minute information video during a one-on-one inpatient consultation and engaged in a values clarification exercise between T0 and T1. The percentage of women with a MUST score ≧1 in Group A sharply increased over time, but not in Group B. Decision aid usage significantly increased patients' hemoglobin and lymphocyte values over time (p < 0.05). The digital PtDA contributed to less decisional conflict and decision regret in at-risk patients and improved their nutritional well-being. Decision-aids help patients make healthcare decisions in line with their values, and are sustainable for use by busy clinicians.

[Holistic Person-Centered Care for Individuals With Type 2 Diabetes Mellitus].

In 2022, the American Diabetes Association and the European Association for the Study of Diabetes emphasized that type 2 diabetes care is a person-centered holistic care concept. This article summarizes the concepts of holistic care for individuals with type 2 diabetes and proposes a complete model of the six-layer whole-person care circle for individuals with type 2 diabetes. This model treats individuals with type 2 diabetes as the core of care and adopts their specific needs, preferences, and values to design individualized care plans. The overall goal of care is to maintain quality of life and to avoid or delay complications. Management methods must be holistic. Based on people and comprehensive considerations, six circles of care are listed. The first layer is caregivers, taking into account the influence of the family and the community on the individual. The second layer is multi-professional and multi-disciplinary team care, which provides support to individuals with diabetes. The third layer emphasizes the need for the following thirteen principles in diabetes care: monitoring and screening for complications, behavior modification for healthy habits, monitoring and continuous assessment, reducing the risk of hypoglycemia, effective implementation and care organization, considering underlying physiological conditions, avoiding therapeutic inertia, considering social determinants of health, psychological factors, structured diabetes education, language proficiency, shared decision-making, and considering regional healthcare institutions and related resources. The fourth layer is the decision cycle of care, which applies the principles of care and conducts continuous and dynamic case management based on the decision cycle. The fifth layer is the healthcare network through which health providers provide hospital, long-term care, and primary clinics/ primary network care referrals based on the needs of individual with diabetes. The sixth layer leverages the chronic care model to construct a supportive healthcare system comprising organizational support, clinical information systems, delivery system design, decision support, self-management support, and community resources. This proposed model may provide a reference for constructing healthcare systems to care for patients with type 2 diabetes.

Character Strengths Use in Diabetes Self-management Scale: Development and psychometric testing.

AIMS: To develop and psychometrically test Character Strengths Use in Diabetes Self-management Scale in people with type 2 diabetes. DESIGN: Cross-sectional design. METHODS: Based on literature reviews and examination by experts, a 20-item scale was developed and administered to 350 participants with type 2 diabetes who were enrolled from two endocrine clinics by convenience sampling in Taiwan. Item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), concurrent and predictive validity as well as reliability were used to examine the psychometric characteristics of the scale. Data were collected from November 2021 to March 2022. RESULTS: EFA and CFA supported a 12-item scale with three factors, namely learning proactively, taking on challenges and thinking positively, fit the data well. The total score of the 12-item scale significantly and positively correlated with diabetes-specific quality of life, and significantly and negatively correlated with baseline and 9-month haemoglobin A1c levels. Cronbach's α for overall scale and subscales ranged between .78 and .91. CONCLUSION: The 12-item Character Strengths Use in Diabetes Self-management Scale demonstrated satisfactory validity and reliability in people with type 2 diabetes. IMPACT: Nurses could apply this new scale to identify the degree of using character strengths in self-management in people with type 2 diabetes; accordingly, character strength-based interventions could be provided to improve self-management in such patients with diabetes. Furthermore, the 12-item Character Strengths Use in Diabetes Self-management Scale has the potential to be used to measure the effectiveness of strength-based interventions in people with Type 2 diabetes. PATIENT OR PUBLIC CONTRIBUTION: Five patients with type 2 diabetes were invited to take the original 20-item scale to evaluate the clarity, readability and comprehensiveness of the 20 items.

Impact of Type D Personality, Role Strain, and Diabetes Distress on Depression in Women With Type 2 Diabetes: A Cross-Sectional Study.

BACKGROUND: Women with diabetes face a significantly elevated risk of developing depression. Clarifying the factors associated with depression is critical to designing more timely interventions for this vulnerable population. PURPOSE: This study was developed to examine the impact of Type D personality, diabetes-care-related role strain, and diabetes-related distress on depression in women with Type 2 diabetes. METHODS: A cross-sectional design was used. Convenience sampling was used to recruit 298 women aged 20-64 years who had been diagnosed with Type 2 diabetes for over 6 months from three outpatient endocrine clinics in Taiwan. Demographic and disease characteristics and Type D personality (negative affectivity and social inhibition), diabetes-care-related role strain, and diabetes-related distress and depression status information were collected using self-reported questionnaires and medical records. The important factors of influence on depression were examined using hierarchical multiple regression. RESULTS: On the basis of the results of the hierarchical multiple regression analysis, age, negative affectivity, diabetes-care-related role strain, and diabetes-related distress were identified as significantly associated with depression, with negative affectivity explaining most (43.4%) of the variance in depression, followed by diabetes-care-related role strain and diabetes-related distress, which respectively explained 3% and 2.5% of the variance. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: The negative affectivity associated with the Type D personality was shown to be more significantly associated with depression than diabetes-related psychosocial factors such as diabetes-related distress and diabetes-care-related role strain. Timely assessment of negative affectivity and the provision of brief mindfulness intervention to reduce negative affectivity may be useful in preventing depression in women with Type 2 diabetes, whereas addressing diabetes-related distress and diabetes-care-related role strain should not be neglected when providing comprehensive depression-preventing interventions to young women with diabetes.

Resilience, self-efficacy and diabetes distress on self-management behaviours in patients newly diagnosed with type 2 diabetes: A moderated mediation analysis.

AIM: To examine (1) the mediating role of self-efficacy between resilience and self-management behaviours and (2) the moderating role of diabetes distress on the relationship between self-efficacy and self-management behaviours in patients newly diagnosed with type 2 diabetes. DESIGN: Cross-sectional design. METHODS: Totally, 195 patients newly diagnosed with type 2 diabetes for more than 5 months but less than 18 months were recruited from three endocrine clinics in Taiwan through convenience sampling. Self-reported questionnaires including demographic and disease characteristics, resilience, self-efficacy and self-management behaviours were used to collect data from October 2020 to May 2021. Moderated mediation analysis was performed by Hayes's PROCESS macro. RESULT: According to bootstrapping results, the indirect effect of resilience on self-management was significant, although the direct effect of resilience on self-management was not. Participants were categorized into with and without diabetes distress groups. The results of moderated mediation analysis indicated self-efficacy significantly correlated with self-management behaviours in participants without diabetes distress, although self-efficacy did not significantly correlate with self-management in participants with diabetes distress. CONCLUSION: The association of resilience with self-management behaviours was fully mediated through self-efficacy with diabetes distress moderating the relationship between self-efficacy and self-management behaviours in patients newly diagnosed with type 2 diabetes. IMPACT: Improving resilience could enhance self-efficacy leading to possible improvement in self-management behaviour, although improving self-efficacy might not benefit self-management behaviours for those with high levels of diabetes distress. Healthcare providers need to first assess and address the diabetes distress before intervening to improve self-efficacy to enhance self-management behaviours in patients newly diagnosed with type 2 diabetes. PATIENT OR PUBLIC CONTRIBUTION: When designing this study, two patients newly diagnosed with diabetes were consulted about the importance of self-management behaviours for them personally.

Determinants of fear of falling in older adults with diabetes.

OBJECTIVES: To identify the important determinants of FoF among older adults with diabetes in endocrine clinics based on demographic and illness characteristics, physical function and capability, psychosocial and cognitive factors. METHODS: A cross-sectional study was conducted on 240 older adults with Type 2 diabetes who were recruited by convenience sampling. Self-reported questionnaires, medical records as well as physical function and capability tests were used to collect the data. Multiple linear regression was used to identify the important determinants of FoF. RESULT: Diabetes distress, sarcopenia levels, TUG results, and HbA1c levels were significant determinants of FoF. These determinants uniquely explained 14%, 9%, 4%, and 2% of the variance in FoF respectively. CONCLUSION: Beside sarcopenia and dynamic balance being known as significantly associated with FoF in a general older population, diabetes distress and HbA1c levels should also be considered in designing interventions to improve FoF among older adults with diabetes.

Pinocembrin Reduces Keratinocyte Activation and Ameliorates Imiquimod-Induced Psoriasis-like Dermatitis in BALB/c Mice through the Heme Oxygenase-1/Signal Transducer and Activator of Transcription 3 Pathway.

Psoriasis is an autoimmune disease characterized by chronic skin inflammation and excessive keratinocyte proliferation. The itchy, scaly, and erythematous lesions present on psoriatic skin negatively affect patients' quality of life. Pinocembrin is a flavonoid present in propolis, fruits, and vegetables. It exerts neuroprotective effects and was used for treating ischemic stroke in a human clinical trial. However, the effects of pinocembrin on psoriasis have never been examined. In this study, we evaluated the effects of pinocembrin on human HaCaT keratinocytes and BALB/c mice with imiquimod- (IMQ-) induced psoriatic dermatitis. In interferon-γ- (IFN-γ-) activated HaCaT cells, pinocembrin reduced the expression of inflammatory cytokines, namely, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and keratinocyte proliferation markers, namely, keratin (K)16, K17, and Ki-67. The mechanism underlying these inhibitory effects involved the regulation of the heme oxygenase- (HO-) 1/signal transducer and activator of transcription (STAT) 3 pathway. In the IMQ-induced psoriatic dermatitis mouse model, the topical application of pinocembrin significantly ameliorated the Skin Psoriasis Area and Severity Index score, epidermal thickness, inflammation, hyperplasia, hyperkeratosis, and cluster of differentiation (CD) 4+ T-cell infiltration. Expression of the inflammatory cytokines and keratinocyte proliferation markers in dorsal skin was significantly decreased in the pinocembrin-treated group. Meanwhile, in lesional skin, the expression of HO-1 was upregulated, but that of phospho-STAT3 (pSTAT3) was downregulated. Collectively, our results indicated the therapeutic potential of pinocembrin. Additional studies are warranted to evaluate its clinical benefits in patients with psoriasis.

Validation study of a new reconstructed human epidermis model EPiTRI for in vitro skin irritation test according to OECD guidelines.

Following the global trend of reducing animal testing, various reconstructed human epidermis (RHE) models for skin irritation test (SIT) have been developed, verified, validated and included in OECD TG 439. We developed a new RHE called EPiTRI and a SIT method using EPiTRI (EPiTRI-SIT model) following the OECD guidelines. EPiTRI possesses morphological, biochemical and physiological properties similar to human epidermis with well-differentiated multilayered viable cells with barrier function. The EPiTRI-SIT model was tested for 20 reference chemicals in Performance Standard of OECD TG 439 (GD 220), showing good predictive capacity with 100% sensitivity, 70% specificity and 85% accuracy. EPiTRI had sensitivity in detecting di-n-propyl disulphate, as an irritant chemical (UN GHS Category 2), whereas most validated reference methods detected it as a non-irritant. An international validation study of EPiTRI-SIT was conducted in four laboratories to confirm the within- and between-laboratory reproducibility, as well as predictive capacity. The phase I/II within-laboratory and between-laboratory reproducibility was 100%/95% and 95%, respectively. The overall sensitivity, specificity and accuracy of EPiTRI-SIT was 96%, 70% and 83%, respectively, which fulfilled the OECD criteria. Thus, EPiTRI, meets the criteria of Performance Standards of OECD TG 439 (GD 220) and is suitable for screening irritating chemicals in vitro.

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.

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.

Risk factors of falls and the gender differences in older adults with diabetes at outpatient clinics.

AIMS: To explore the risk factors of falls and the gender differences based on demographic and disease characteristics, physical capability, and fear of falling in older adults with diabetes visiting outpatient clinics in Taiwan. DESIGN: Cross-sectional design. METHODS: A total of 485 patients with type 2 diabetes aged between 65 and 80 years were recruited from three endocrine outpatient clinics in Taiwan. Demographic and disease characteristics, fall history in the previous one year and fear of falling were collected by a self-reported questionnaire. Calf circumference, handgrip strength, one-leg standing and time up-and-go tests were all performed to assess the physical capability of participants. Data were collected from May 2019 to May 2020. RESULTS: Female gender (OR = 1.75), handgrip strength (OR = 2.43) and fear of falling (OR = 3.38) were important risk factors of falls overall, although fear of falling (OR = 4.69) was the only important risk factor of falls in males, while handgrip strength (OR = 3.48) and fear of falling (OR = 2.86) were important risk factors of falls in females. The sensitivity of simultaneous screening handgrip strength and fear of falling were 85.7, 86.4 and 86.2 in males, females and older adults overall with diabetes, respectively. CONCLUSION: Fear of falling was an important risk factor of falls in both genders, especially in males. Handgrip strength was an important risk factor of falls specifically for females. By simultaneously screening fear of falling and handgrip strength, risk of falls in older adults with diabetes at outpatient clinics could be identified in a more timely manner. Impact Nurses could periodically and simultaneously assess fear of falling and handgrip strength of older adults with diabetes at outpatient clinics. For those are identified at risk of falls on either fear of falling or handgrip strength, nurses could provide corresponding interventions to reduce the fear of falling or improve muscle strength to prevent such falls.

Pathways of diabetes distress, decisional balance, self-efficacy and resilience to quality of life in insulin-treated patients with type 2 diabetes: A 9-month prospective study.

AIMS AND OBJECTIVES: To construct a path model addressing influences of diabetes distress, self-efficacy of injecting insulin, resilience and decisional balance of injecting insulin to quality of life (QoL) in insulin-treated patients with type 2 diabetes (T2DM). BACKGROUND: Insulin regimens more negatively impact QoL than oral medication treatments in patients with T2DM. Understanding the factors and influencing pathways associated with subsequent QoL will help nurses design timely interventions to improve QoL of insulin-treated T2DM patients. DESIGN: A 9-month prospective design was employed in this study. METHODS: Self-reported questionnaires were used to collect data from 185 insulin-treated T2DM patients. At baseline, diabetes distress and self-efficacy of injecting insulin were collected, while QoL, resilience and decisional balance of injecting insulin were collected 9 months later. Data were collected from February 2017 to February 2018. Structural equation modelling was used for analysis. This study was conducted based on the STROBE. RESULTS: Low baseline diabetes distress and high 9-month decisional balance of injecting insulin directly associated with high 9-month QoL. High baseline self-efficacy of injecting insulin and high 9-month resilience directly associated with high 9-month decisional balance of insulin injection and indirectly associated with high 9-month QoL. High baseline diabetes distress directly and indirectly associated with poor 9-month QoL. CONCLUSIONS: Diabetes distress, self-efficacy of injecting insulin, resilience and decisional balance of injecting insulin play different roles in associating with QoL in insulin-treated T2DM patients. RELEVANCE TO CLINICAL PRACTICE: Nurses could provide educational programs focusing on enhancing decisional balance of injecting insulin to improve QoL in insulin-treated patients. Improving self-efficacy of injecting insulin and resilience could be promising strategies to improve the decisional balance of injecting insulin. More timely assessment of diabetes distress and intervention might be powerful strategies to improve subsequent QoL in these patients.

[Associations of Personality, Distress, Social Support With Self-Care Behaviors in Patients With Type 2 Diabetes].

BACKGROUND: The findings of recent studies indicate that self-care behaviors are significantly associated with diabetes-related distress and social support in patients with type 2 diabetes. Moreover, Big-Five personality traits are also considered to be associated with self-care behaviors and should be considered. PURPOSE: This study was designed to investigate the associations between Big-Five personality traits, diabetes-related distress, and social support and diabetes self-care behaviors in patients with type 2 diabetes. METHODS: A cross-sectional study design was conducted with 200 participants recruited by convenience sampling. A self-reported questionnaire was used to collect data on demographic and disease characteristics, Big Five personality indicators, diabetes-related distress, social support, and self-care behavior. Data were analyzed using percentage, mean and standard deviation, independent t-test, one-way ANOVA, Pearson's correlation test, and enter method multiple regression analysis. RESULTS: Social support was found to relate positively and significantly with self-care behavior, while no significant relationship was found between diabetes-related distress and self-care behaviors. Participants with high scores for extroversion, agreeableness, and conscientiousness tended to have better self-care behavior, while those with a high score for neuroticism tended to have poor self-care behaviors. The results of the enter method multiple regression analysis showed age and social support to be significant factors associated with self-care behaviors, explaining 19.5% of the variance. CONCLUSIONS / IMPLICATIONS FOR PRACTICE: Priority concern should be given to patient age and social support status when working to improve the self-care behaviors of patients with type 2 diabetes. As personality traits were found to be significantly associated with self-care behaviors, these should be included in the individual health education program.

Scale for Measuring Role Strain in Women With Diabetes: Development and Psychometric Testing of the Chinese Version.

BACKGROUND: Women with diabetes (type 1 and type 2) have excessive risk of developing cardiovascular disease compared with men with diabetes, so optimizing diabetes control is crucial for women to reduce this risk. Women with diabetes experience role strain, and a scale to measure role strain in the context of diabetes control could help healthcare providers improve diabetes control in women with diabetes. OBJECTIVE: The aims of the study were to develop a short-form scale for measuring role strain in Taiwanese women with diabetes and test its psychometric properties. METHODS: This study was conducted from October 2018 to May 2019 and used a cross-sectional design. Based on literature reviews and results of focus groups, a 28-item role strain scale was developed and administered to 519 women with diabetes in Taiwan. Item analysis, exploratory factor analysis, confirmatory factor analysis, concurrent validity, and reliability testing were used to examine the psychometric characteristics of the scale. RESULTS: A 9-item role strain scale including subscales for role guilt and role conflict, supported by exploratory factor analysis and confirmatory factor analysis, was produced. High role strain significantly correlated with high depression (r = 0.399, P < .001) and high hemoglobin A1c levels (r = 0.169, P < .001). The overall and subscale Cronbach's α ranged between 0.78 and 0.86, with test-retest reliability ranging between 0.64 and 0.81. CONCLUSIONS: The role strain scale for women with diabetes is reliable and valid and can be used to evaluate role strain in women with diabetes.

[Decision Cycle for Patient-Centered Glycemic Management in Type 2 Diabetes].

Effective glycemic control is crucial to achieving the ultimate goal of preventing complications and optimizing quality of life in patients with Type 2 diabetes. The American Diabetes Association and European Association for the Study of Diabetes recommend using the Decision Cycle for Patient-Centered Glycaemic Management as a model for caring for patients with Type 2 diabetes. This article describes the seven steps of this model. These steps are: (1) Assess key patient characteristics; (2) Consider specific factors that impact choice of treatment; (3) Shared decision-making to create a diabetes self-management education support plan; (4) Agree on a management plan; (5) Implement management plan; (6) Conduct regular monitoring and support; and (7) Review and agree on the management plan. Healthcare providers could apply these seven steps to help patients with Type 2 diabetes achieve optimal glycaemic management.

Modeling patient empowerment and health literacy to glycemic control in insulin-treated patients: A prospective study.

OBJECTIVE: To model the pathways of patient empowerment (PE) and health literacy (HL) to glycemic control specific to insulin-treated patients by prospective design. METHODS: Insulin-treated patients with type 2 diabetes (T2DM) (N = 185) were recruited by convenience sampling. Data of personal characteristics, PE, and HL were collected by questionnaires at baseline and 9 months later. The 9-month glycosylated hemoglobin (HbA1c) levels of each participant were collected from medical records. Structural equation modeling was used to test a hypothesized model. RESULTS: Baseline and 9-month communicative HL and critical HL significantly and negatively correlated with 9-month HbA1c levels. Structural equation modeling supported that baseline and 9-month PE significantly affected HL at corresponding time points. Baseline PE indirectly affected 9-month HL through 9-month PE. The 9-month HL directly affected 9-month HbA1c. Baseline HL indirectly affected 9-month HbA1c through 9-month HL. CONCLUSION: Communicative HL and critical HL rather than functional HL were crucial in improving glycemic control. PE is essential to improve HL in insulin-treated patients. PRACTICE IMPLICATIONS: Healthcare providers could apply the empowerment approach to educate insulin-treated patients. Through reciprocal dynamic process of PE, insulin-treated patients with T2DM might improve their communicative and critical HL; and finally, glycemic control could be improved.

Decisional Balance for Insulin Injection: Scale Development and Psychometric Testing.

BACKGROUND: Insulin-naive patients are often reluctant to receive insulin treatment, and even insulin-treated patients frequently have poor rates of adherence to their prescribed insulin injection regimes. Assessing attitudes toward insulin injection may help in the design of interventions that improve the insulin injection behaviors of patients with type 2 diabetes (T2DM). The concept of decisional balance has been associated with behavior in many studies and may be useful in assessing the attitude of patients with T2DM toward insulin injection. Decisional balance for insulin injection (DBII) has not been widely assessed in patients with T2DM. PURPOSE: The aim of this study was to develop an insulin injection (DBII) scale that is valid for insulin-naive and insulin-treated patients and to test the psychometric characteristics of this scale based on the concept of decisional balance. METHODS: This cross-sectional study administered an 18-item DBII scale, including pro and con subscales, to 95 insulin-naive and 237 insulin-treated patients in Taiwan. The decisional balance score was calculated as the mean score of the pro subscale minus the mean score of the con subscale. Construct validity was examined using exploratory factor analysis and confirmatory factor analysis; concurrent validity was assessed by examining the association between the score of the DBII scale and the stages of behavioral change and of hemoglobin A1c for, respectively, insulin-naive patients and insulin-treated patients; and reliability was assessed using internal consistency and test-retest reliability. RESULTS: A 13-item DBII scale supported by exploratory factor analysis and confirmatory factor analysis was developed. The stages of behavioral change and hemoglobin A1c levels were found to be significantly associated with the scores of decisional balance of the 13-item DBII scale for both insulin-naive and insulin-treated patients. The Cronbach's α ranged between .78 and .92. CONCLUSIONS: The 13-item DBII scale is appropriately short and possesses satisfactory validity and reliability for both insulin-naive and insulin-treated patients with T2DM. Healthcare providers may use this scale as a checklist to guide clinical discussions related to insulin therapy with both insulin-naive and insulin-treated patients with T2DM across time.

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

PURPOSE: The purpose of the study was to identify quality of life (QoL) trajectory patterns and the determinants in patients with Type 2 diabetes (T2DM). METHODS: A longitudinal design was employed. Totally, 466 patients with T2DM recruited from five diabetic clinics in Taiwan were participants of this study. Demographic and disease characteristics, biomedical factors (HbA1c levels and body mass index), psychosocial factors (self-care behaviors, social support, resilience, diabetes distress), and QoL were collected at baseline. QoL was further measured every 6 months for four waves after baseline. Latent class growth analysis was used to identify QoL trajectory patterns. The multinomial logistic regression was further applied to explore the important determinants of different QoL trajectory patterns. RESULTS: The "steadily poor" (n = 27, 5.8%), "consistently moderate" (n = 174, 37.3%), and "consistently good" (n = 265, 56.9%) trajectory patterns were identified. The HbA1c levels (OR 2.16) and diabetes distress (OR 1.18) were important for determining participants in the "steadily poor" QoL trajectory pattern. HbA1c levels (OR 1.25) and diabetes distress (OR 1.14) were important for determining participants in the "consistently moderate" QoL trajectory pattern. CONCLUSIONS: To prevent development of relatively worse QoL trajectory patterns in patients with T2DM in a timelier manner, healthcare providers could regularly assess the QoL and provide intervention, especially for those with high HbA1c levels and high diabetes distress. Meanwhile, early intervention for decreasing HbA1c levels and diabetes distress may improve the trajectory development of QoL in patients with T2DM.

Glycemic Control in Insulin-Treated Patients With Type 2 Diabetes: Empowerment Perceptions and Diabetes Distress as Important Determinants.

The purpose of this cross-sectional study was to explore the determinants of hemoglobin A1c (HbA1c) levels in insulin-treated patients with Type 2 diabetes mellitus (T2DM) based on demographic and disease characteristics, self-reported regimen adherence factors (adherence in insulin regimen and self-monitoring of blood glucose), and psychosocial factors (decisional balance for insulin injection, health literacy, self-efficacy for insulin injection, diabetes distress, and empowerment perceptions). Via convenience sampling, 255 insulin-treated patients with T2DM were recruited from two endocrinology clinics in Taiwan. A self-report questionnaire was used to collect demographic and disease characteristics, regimen adherence factors, and psychosocial factors. The first HbA1c level measured after completion of the questionnaire was the dependent variable. The last HbA1c level measured before patients started insulin therapy as well as body mass index (BMI) was collected from medical records. Results indicated that adherence in insulin regimen was relatively good. Regimen adherence factors did not significantly correlate with HbA1c levels, but empowerment perception, decisional balance for insulin injection, health literacy, and diabetes distress did. The hierarchical multiple regression models indicated that BMI, the last HbA1c levels before starting insulin therapy, empowerment perception, and diabetes distress were important determinants of HbA1c levels. Nurses could periodically assess the diabetes distress of insulin-treated patients with T2DM and refer to mental health professionals when needed. Furthermore, applying empowerment approaches such as enhancing self-awareness of improved glycemic control and sharing more decision-making power with insulin-treated patients with T2DM might have benefits for their glycemic control.

Quantifying PM2.5 from long-range transport and local pollution in Taiwan during winter monsoon: An efficient estimation method.

From autumn to the following spring, annually, the northeast monsoon transports PM2.5 (particles less than 2.5 µm in aerodynamic diameter) from the Asian continent to downstream areas. Naturally, this triggered a question: What are the contributions of PM2.5 from long-range transport (LRT) and local pollution (LP) at any downstream location? To answer that question, the present study developed an economical and efficient method that can easily estimate the contribution of PM2.5 from LRT (LRT-PM2.5) and PM2.5 from LP (LP-PM2.5). The method used PM2.5 and meteorological observation data in Taiwan from 2006 to 2015 and a short-term simulation from January to May in 2010. The analysis classified the data into three types of PM2.5 source patterns: LRT-Event (high concentration plume at the front edge of southward moving anticyclones/strong northeast wind), LRT-Ordinary (less concentration in common strong northeast wind), and LRT/LP Mix or Pure LP (PM2.5 was from both LRT and LP or from only LP under weak northeast wind). During the ten-year period, the average LRT-PM2.5 values at the northern tip of Taiwan were 31-39 µg m-3, 12-16 µg m-3, and 4-13 µg m-3 for the LRT-Event, LRT-Ordinary, and LRT/LP Mix or Pure LP patterns, respectively. The 10-year average LRT-PM2.5 and LP-PM2.5 contributions were approximately 70:30 in northern Taiwan, 50:50 in central Taiwan, and 30:70 in southern Taiwan for the LRT-Event pattern; 60:40 in northern and 40:60 in central and southern Taiwan for the LRT-Ordinary pattern; and 30:70 in northern and 25:75 in central and southern Taiwan for the LRT/LP Mix or Pure LP pattern. Interestingly, LRT-PM2.5 peaked in 2013 but has decreased annually since then, whereas LP-PM2.5 has roughly decreased in the past ten years.

Rationale and design of a randomized study to assess the efficacy and safety of evolocumab in patients with diabetes and dyslipidemia: The BERSON clinical trial.

Type 2 diabetes mellitus (T2DM) is a major independent risk factor for cardiovascular disease, and diabetic dyslipidemia is a major contributor to cardiovascular risk in these patients. Here we report the rationale and design of a phase 3, double-blind study specifically designed to evaluate the lipid-lowering efficacy of the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor evolocumab in patients with T2DM and hyperlipidemia or mixed dyslipidemia who are on background statin therapy. In the BERSON (evolocumaB Efficacy for LDL-C Reduction in subjectS with T2DM On background statiN) trial, patients with T2DM, a screening low-density lipoprotein cholesterol (LDL-C) level of ≥ 2.6 mmol/L (≥100 mg/dL) or ≥ 3.4 mmol/L (≥130 mg/dL), and with or without statin treatment at screening, respectively, were enrolled and started on atorvastatin 20 mg/day for a lipid stabilization period of at least 4 weeks. Then, patients were randomly assigned in a 2:2:1:1 ratio to receive atorvastatin 20 mg once daily plus either evolocumab 140 mg every 2 weeks (Q2W), evolocumab 420 mg every month (QM), placebo Q2W, or placebo QM. The co-primary outcome measures were the percentage change from baseline in LDL-C at week 12 and the percentage change from baseline in LDL-C at the mean of weeks 10 and 12. The BERSON trial has completed enrollment. The study completed in the first half of 2018, and will provide information on the efficacy and safety of evolocumab in patients with T2DM and dyslipidemia.