Despite research showing the benefits of glycemic control, it remains suboptimal among adults with diabetes in the United States. Possible reasons include unaddressed risk factors as well as lack of awareness of its immediate and long term consequences. The objectives of this study were to, using cross-sectional data, 1) ascertain the association between suboptimal (Hemoglobin A1c (HbA1c) ≥7%), borderline (HbA1c 7-8.9%), and poor (HbA1c ≥9%) glycemic control and potentially new risk factors (e.g. work characteristics), and 2) assess whether aspects of poor health and well-being such as poor health related quality of life (HRQOL), unemployment, and missed-work are associated with glycemic control; and 3) using prospective data, assess the relationship between mortality risk and glycemic control in US adults with type 2 diabetes. Data from the 1988-1994 and 1999-2004 National Health and Nutrition Examination Surveys were used. HbA1c values were used to create dichotomous glycemic control indicators. Binary logistic regression models were used to assess relationships between risk factors, employment status and glycemic control. Multinomial logistic regression analyses were conducted to assess relationships between glycemic control and HRQOL variables. Zero-inflated Poisson regression models were used to assess relationships between missed work days and glycemic control. Cox-proportional hazard models were used to assess effects of glycemic control on mortality risk. Using STATA software, analyses were weighted to account for complex survey design and non-response. Multivariable models adjusted for socio-demographics, body mass index, among other variables. Results revealed that being a farm worker and working over 40 hours/week were risk factors for suboptimal glycemic control. Having greater days of poor mental was associated with suboptimal, borderline, and poor glycemic control. Having greater days of inactivity was associated with poor glycemic control while having greater days of poor physical health was associated with borderline glycemic control. There were no statistically significant relationships between glycemic control, self-reported general health, employment, and missed work. Finally, having an HbA1c value less than 6.5% was protective against mortality. The findings suggest that work-related factors are important in a person’s ability to reach optimal diabetes management levels. Poor glycemic control appears to have significant detrimental effects on HRQOL.

A prevalência de diabetes mellitus (DM) está aumentando constantemente em todo o mundo a uma taxa alarmante. Devido às suas complicações que causam uma maior morbidade, invalidez e mortalidade, o DM representa um enorme problema para a saúde pública. Com isso, ações, tanto em diagnóstico como em tratamento, são necessárias para desacelerar a tendência atual e prevenir o desenvolvimento das complicações do DM. Recentemente, a hemoglobina glicada (HbA1c) foi introduzida nos critérios diagnósticos de DM. Os resultados de HbA1c são igualmente apropriados para o diagnóstico, apesar de não necessariamente detectarem DM nos mesmos indivíduos detectados pelos critérios de glicemia. No entanto, os níveis de HbA1c podem ser influenciados por qualquer condição que altere a vida útil dos eritrócitos e metabolismo da hemoglobina, independentemente da glicemia, resultando em erro diagnóstico neste grupo da população com estas condições. Além disso, estudos epidemiológicos revelaram que a glicemia pós-prandial tem um maior risco de causar complicações cardiovasculares em relação à hiperglicemia persistente e pode ser acessada com precisão usando a albumina glicada (AG) e não a HbA1c. Nesse contexto, estudos recentes têm evidenciado que a AG pode ser um marcador para diagnóstico do DM e também ser utilizado como um marcador alternativo à HbA1c para o controle glicêmico. No entanto, esses estudos, foram realizados apenas na população asiática e podem não ser aplicáveis a outros grupos étnicos. Por isso, mais investigações para a validação do desempenho diagnóstico da AG na predição do DM em diferentes grupos etnicos são necessárias. Neste estudo avaliamos o desempenho da AG no diagnóstico do DM em 242 indivíduos brasileiros com idade média de 54,4 anos (+ 13,0). Baseando-se nos valores de glicose plasmática durante o teste oral de tolerância à glicose (TOTG), o DM foi detectado em 31,8%. AG ≥16,8% apresentou acurácia similar para a detecção de DM conforme definido por HbA1c >6,5%. O uso da razão glicemia de 2h pós-sobrecarga de 75g de glicose (2hPG) e AG (2hPG/AG) melhora a sensibilidade, reduz o número de diagnósticos incorretos por AG ou HbA1c >6,5% e possui um acurácia comparável ao TOTG, indicando que o uso de uma estratégia aplicando a razão da glicemia pós-prandial (GPP) real e AG (GPP/AG) pode ser mais conveniente para pacientes e aumentar o desempenho diagnóstico do teste. Estudos para validar esta estratégia são necessários. / The prevalence of diabetes mellitus (DM) is constantly increasing worldwide at an alarming rate. Due to its complications that cause greater morbidity, disability and mortality, DM represents a heavy burden on public health. Therefore, actions in both, diagnosis and treatment, are necessary to slow down the current tendency and avoid the development of DM complications. Recently, the glycated hemoglobin test (HbA1c) was introduced in the diagnostic criteria for DM. The HbA1c results are equally appropriate for diagnostic testing, though not necessarily detect DM in the same subjects detected by plasma glucose criteria. However, blood HbA1c levels may be influenced by any condition that changes the lifespan of erythrocytes and hemoglobin metabolism regardless of glycemia, resulting in the misdiagnosis of this population group. In addition, epidemiological studies have shown that postprandial glycemia has a higher risk of causing cardiovascular complications than chronic hyperglycemia and can be accurately assessed using the glycated albumin (GA) test rather than HbA1c. In this context, recent studies have shown that GA may be a marker for the diagnosis of DM and also be used as an alternative marker to HbA1c on many occasions. However, these studies have been conducted only in the Asian population and may not be applicable to other ethnic groups. Therefore, further investigations to validate the diagnostic performance of GA in the prediction of DM in different ethnic groups are necessary. In this study, we evaluated the GA performance in the diagnosis of DM in 242 Brazilian individuals with a mean age of 54.4 years (+ 13.0). Based on plasma glucose values during oral glucose tolerance test (OGTT), DM was detected in 31.8%. AG ≥16.8% presented similar accuracy for detecting DM as defined by a HbA1c >6.5%. The use of the 2-h plasma glucose after a 75-g OGTT and GA (2hPG/GA) ratio improves sensitivity, reduces the number of incorrect diagnoses by GA or HbA1c >6.5% and has an accuracy comparable to OGTT, indicating that the use of approach applying the postprandial glucose (PPG) and GA (PPG/GA) may be more convenient for patients and increase the diagnostic performance of the test. Studies to validate this approach are needed.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第22779号 / 工博第4778号 / 新制||工||1747(附属図書館) / 京都大学大学院工学研究科電気工学専攻 / (主査)教授 土居 伸二, 教授 萩原 朋道, 教授 小林 哲生, 教授 古谷 栄光 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

Diabetes affects an estimated 29.1 million Americans, with approximately another 1/3 of Americans not yet diagnosed. Complications associated with diabetes include heart disease, stroke, hypertension, blindness, kidney disease, neuropathy and death. All of these complications can be prevented with optimal control of blood glucose levels. Advances in technology provide people living with diabetes (PLWD) a multitude of treatment options such as continuous subcutaneous insulin infusion (CSII) therapy. Unfortunately, sustained improvement in glycated hemoglobin A1c (HgA1c) is not always achieved even with this advanced therapy. The purpose of this doctoral project was to educate nurses on CSII therapy and promote improved patient compliance, knowledge and ultimately improve HgA1c control. This doctoral project is an evaluation of an Evidence-Based Quality Improvement Project (EB-QIP) that evaluated nurse-led educational sessions for PLWD using CSII therapy. The integrated theory of health behavior change was used to guide the project. The CDC process evaluation model was used to evaluate the outcomes of the education sessions. Results showed that patients who were instructed by the nurses who took part in the EB-QIP had a reduction in the overall HgA1c by an average of 1.1 points 3-months post-education. The project promotes positive social change through establishing the effectiveness of an EB-QIP that focused on the use of education on CSII therapy in improving outcomes for patients living with diabetes.

Advanced practice providers (APPs), consisting of nurse practitioners and physician assistants, face many challenges in the provision of evidence-based practice in their management of hospitalized adult patients with diabetes. Some of the barriers faced by APPs at a Northeast acute care facility are poor communication between disciplines, lack of confidence in initiating insulin, limited understanding of the management of insulin and the insulin pump, and insufficient treatment of the hospitalized patient with diabetes that aligns with current clinical guidelines for the management of inpatient hyperglycemia. This quality improvement project focused on the development of an evidence-based theory supported educational intervention to improve APPs' knowledge regarding glycemic management. An interdisciplinary team created the educational intervention using the analyze, design, develop, implement, and evaluate (ADDIE) instructional model. A 10-member expert panel validated the program utilizing both a formative and summative evaluation. The results from the formative evaluation was discussed with the interdisciplinary team, corrections were made, and was returned to the expert panel. Once the changes were made to the satisfaction of the expert panel, the program was then validated and submitted to the institution as a completed project to be used by the institution for APPs. This project addresses social change by increasing awareness in the management of inpatients with diabetes therefore decreasing fragmented care delivered by the APPs which will improve quality of care and patient safety.

Diabetes mellitus (DM) is one of the most common chronic diseases affecting children under the age of 20, and it often leads to serious complications. In recent decades, there has been an increase in incidence of both types of DM among U.S. children. Having this chronic condition not only negatively impacts the health of these children but also their academic achievements. School health nurses struggle to manage these children appropriately and safely. The purpose of this project was to develop an evidence- based guideline for a standardized process in which school nurses coordinate the school and student health care teams to ensure a safe school environment for diabetic children. The Stevens star model of knowledge transformation was used to frame the development of this guideline. A team of experts, consisting of 10 ten school nurses, was assembled to provide formative and summative evaluations of the guidelines. Nine nurses completed and returned the questionnaires within the allotted time. The formative group feedback resulted in the revision of the guideline prior to distribution for the summative evaluation. The experts then participated in a summative evaluation using the Appraisal of Guidelines for Research & Evaluation (AGREE) II instrument. The revised guideline was approved and recommended for use by all of the experts without additional modification. Implementation of the guideline will result in social change by improving outcomes in students' health and academic achievement and in strengthening the role and autonomy of the school nurse. Dissemination will occur first in the school district through presentation and then to a larger audience through publication in journals focused on school nursing.

京都大学 / 0048 / 新制・論文博士 / 博士(医学) / 乙第12968号 / 論医博第2101号 / 新制||医||1012(附属図書館) / 32406 / 新制||医||1012 / 京都大学大学院医学研究科医学専攻 / (主査)教授 長船 健二, 教授 福原 俊一, 教授 川口 義弥 / 学位規則第4条第2項該当 / Doctor of Medical Science / Kyoto University / DFAM

京都大学 / 0048 / 新制・課程博士 / 博士(人間・環境学) / 甲第20464号 / 人博第814号 / 新制||人||195(附属図書館) / 28||人博||814(吉田南総合図書館) / 京都大学大学院人間・環境学研究科共生人間学専攻 / (主査)教授 林 達也, 教授 石原 昭彦, 准教授 久代 恵介 / 学位規則第4条第1項該当 / Doctor of Human and Environmental Studies / Kyoto University / DGAM

No description available.

Background People with type 1 diabetes make up approximately two million of the American population. Every day, these two million people struggle to fight this lifelong, sometimes life threatening disease. While type 1 diabetes currently has no cure, there are technologies that can make diabetes management more effective. This study surveyed the type 1 diabetes (T1D) young adult population aged 18-30, to evaluate what technologies and tools are most often associated with achieving optimal glycemic control (OGC). Methodology The instrument is a 35 question, investigator developed survey that is designed to measure how often a participant utilizes the technology identified in each question, with the response choices ranging from 0 (never) to 5 (multiple times daily). In addition, there were some yes/no and fill-in-the-blank questions to identify demographic variables. The technology topics that were explored are 1) mode of insulin therapy, 2) mode of blood glucose monitoring therapy, 3) mode of communication with designated care provider, 4) electronic applications used, 5) demographic variables, and 6) pertinent comorbidities. This information was used to evaluate variables that assist T1Ds in achieving optimal glycemic control. Participants were invited to participate in this study via email using the Students with Diabetes email listserv. The email contained the IRB approved explanation of research letter, which informed participants of the study and the research being conducted. If the student chose to participate, they checked a box that served as an electronic signature, and they continued on to the 35-question survey. All responses to the survey will be kept confidential; as the survey and research did not require any personal identifying information. Data regarding the specific demographics, technologies used for diabetes control, and hemoglobin A1C levels were recorded and analyzed. The results of the survey will be shared with the participants via the same email list-serv by which they were originally recruited. Results There were 59 participants. A total of 21 out of 59 respondents had optimal glycemic control (A1C less than 7.0, per American Diabetes Association guidelines). Eighty eight percent of those with OGC wore their CGMs all the time, while only 66% of those with IGC wore their CGMs all the time. Ninety five percent of those with OGC used their insulin pumps all the time, while 89% of those with IGC did. It is likely that the combination of both CGMs and insulin pumps worn all the time are the most powerful tools to achieving OGC. Students that were employed, enrolled in classes, and still under their parent’s insurance plans had a higher incidence of optimal glycemic control. Discussion It was hypothesized that those with OGC would have a higher incidence of diabetes technology use. This PI found that even though almost all participants had access to the diabetes technology, still only 37% of the participants had optimal glycemic control. There are many components to diabetes care that impact glycemic control that were not explored within this scope of this diabetes technology study. Conclusions It is likely that both CGMs and insulin pumps worn all the time are the most powerful tools to achieving OGC. Students who graduate from college and transition to adulthood are vulnerable as they may encounter added stressors such as employment, and financial responsibility that cause them to deviate from the recommendations for diabetes technology use. Care providers need to be cognizant that young adulthood is a vulnerable time in terms of OGC and optimal diabetes management. Providers need to work with young adults, and encourage them to adhere to the recommended diabetes care regime.