Diabetes

The diabetic foot is a global threat to public health because it can result in infection and amputation, as well as cause the patient to experience considerable pain and incur financial costs. The condition of patients with diabetic foot in North China is distinguished by more severe local ulcers, a worse prognosis, and a longer duration of disease than that of patients with diabetic foot in the south. Through appropriate preventive measures, the diabetic foot can be effectively avoided. This study (...) assesses the existing knowledge, attitudes and practices associated with diabetic foot prevention among adults with diabetes living in rural areas of North China. (shrink)

My research explores Maya perspectives on neo-traditional farming as a source of metabolic health and resilience to the global epidemic of type-two diabetes. This article is based on long-term ethnographic research and interviews in Maya Mountains Reservation communities in southern Belize, an area with low diabetes prevalence relative to national and global populations. Research participants see lower rates of diabetes in the MMR as the result of neo-traditional peasant and subsistence farming on ancestral lands. Good metabolic health represents the embodiment (...) of food systems that routinize healthy material and social relationships to the landscape. This research suggests that diabetes is endemic to modern food systems and proposes neo-traditional food ways as a societal antidote to nutritional disease. My research demonstrates and responds to a need for further disaggregated data on diabetes prevalence in Indigenous communities, contributes to the social scientific literature on the importance of small-scale agricultural models for community health, and provides a case study of success in diabetes prevention. I engage Maya perspectives with anthropological literature on embodiment and small-scale agriculture to suggest neo-traditional food ways as healthier alternatives to capitalist agricultural development. (shrink)

Objectives: This study aimed to fill the gap between Vietnamese diabetic patients' needs and care through a qualitative study asking about their experiences with diabetes and quality of care. -/- Methods: Interviews with five diabetic patients were conducted at a tertiary general hospital located in southern Vietnam. The transcribed data were first subjected to quantitative text analysis using KH Coder to identify major categories of frequently used words, followed by a qualitative analysis of selected cases using the Steps for Coding (...) and Theorization (SCAT) method. -/- Results: The major categories of frequently used words were chronic health conditions, services, facilities, insurance, patient-doctor communication, and medication. SCAT analysis of three selected cases identified six themes: “Disregarding the disease at the early stage,” “Fear of complications,” “Satisfaction with hospital services and medical staff,” “Insurance-related problems,” “Long waiting times,” and “Communication barriers between patients and doctors.” Patients were satisfied with improved hospital facilities and services; however, the overloading of one hospital led to long waiting times and communication difficulties with doctors. Difficulties with health insurance were also observed, and patients were rather passive in disease management and needed to be empowered through improved communication with doctors and other care providers. -/- Conclusion: These findings from our trial of introducing a qualitative study into service evaluation suggest that listening to patients can help health providers learn their perspectives and be more responsive to their needs. (shrink)

BackgroundComorbidity between diabetes mellitus and depression is highly prevalent. The risk of depression in a person with diabetes is approximately twice that of a person without this disease. Depression has a major impact on patient well-being and control of diabetes. However, despite the availability of effective and specific therapeutic interventions for the treatment of depression in people with diabetes, 50% of patients do not receive psychological treatment due to insufficient and difficult accessibility to psychological therapies in health systems. The use (...) of information and communication technologies has therefore been proposed as a useful tool for the delivery of psychological interventions, but it continues to be a field in which scientific evidence is recent and controversial. This systematic review aims to update the available information on the efficacy of psychological interventions delivered through ICTs to improve depressive symptomatology in patients with diabetes.MethodsA systematic review of the literature was performed following the PRISMA guidelines and using MEDLINE, Embase, PubMed, Web of Science, PsycINFO, Scopus, and Cochrane Library databases to search for randomized clinical trials of eHealth treatments for patients with diabetes and comorbid depression from 1995 through 2020. In addition, studies related to follow-up appointments were identified. Inclusion criteria were as follows: randomized clinical trials ; patients with type 1 and type 2 diabetes; adult population over 18 years of age; presence of depressive symptomatology assessed with standardized instruments; treatments for depression based on established psychotherapeutic techniques and principles; delivered through eHealth technologies. We did not limit severity of depressive symptomatology, delivery setting or comparison group. Two coauthors independently reviewed the publications identified for inclusion and extracted data from the included studies. A third reviewer was involved to discuss discrepancies found. The PEDro scale was used to assess the quality of the RCTs. No meta-analysis of the results was performed. The protocol used for this review is available in PROSPERO.ResultsThe initial search identified 427 relevant scientific publications. After removing duplicates and ineligible citations, a total of 201 articles were analyzed in full text. Ten articles met the criteria of this review and were included, obtaining very good scientific quality after evaluation with the PEDro scale. The main results show that the eHealth psychological intervention for depression in patients with diabetes showed beneficial effects both at the end of treatment and in the short and long term for the improvement of depressive symptomatology. The methodology used was very heterogeneous. However, all studies were based on cognitive-behavioral tools and used standardized assessment instruments to evaluate depressive symptomatology or diagnosis of MDD. Glycemic control was assessed by glycosylated hemoglobin, but no benefits were found in improving glycemic control. Only four studies included psychoeducational content on diabetes and depression, but none used tools to improve or enhance adherence to medical prescriptions or diabetes self-care.ConclusionsICT-based psychological interventions for the treatment of depression in people with diabetes appear to be effective in reducing depressive symptomatology but do not appear to provide significant results with regard to glycemic control. Nonetheless, the scientific evidence reported to date is still very limited and the methodology very diverse. In addition, no studies have implemented these systems in routine clinical practice, and no studies are available on the economic analysis of these interventions. Future research should focus on studying and including new tools to ensure improvements in diabetes outcomes and not only on psychological well-being in order to advance knowledge about these treatments. Economic evaluations should also be undertaken to analyze whether these treatment programs implemented using eHealth technologies are cost-effective. (shrink)

Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...) not. This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes dataset using accuracy and mean squared error as evaluation metrics. We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. The experimental results show that the ABP-SCGNN model, containing 20 neurons, attains 93% accuracy on the validation set, which is higher than using the other ANNs models. This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes. (shrink)

Pre-diabetes is a risk factor for the development of diabetes, not a disease in its own right. The prevalence increases with age and reaches nearly 50% of those aged over 75 years in the USA. While lifestyle modification and treatment are likely to benefit those with many years of life ahead of them, they are unlikely to benefit patients with a limited life expectancy. Despite this, some very elderly patients in the UK and elsewhere are being labelled as pre-diabetic. While (...) ideal practice would be to carefully consider the impact of any potentially abnormal blood test before it is taken, this is not always possible in routine practice. In this paper, we discuss a pragmatic, ethical approach for clinicians managing pre-diabetic blood tests in very elderly patients. We argue that a ‘see-saw’ model of paternalism should be used in deciding which patients to inform that they can be labelled as pre-diabetic. Those patients that may benefit from the label should be informed, and those that will not, should not. Where the benefits/drawbacks are unclear, the result and its potential significance should be discussed in depth with the individual patient. We do not advocate withholding information from any patient. Instead we suggest clinicians use individual patient circumstances to contextualise the relevance of pre-diabetes to the patient and consider the benefits and drawbacks before informing them. This approach has the potential to be used for other pre-conditions and risk factors in addition to pre-diabetes. There are no data in this work. (shrink)

Cardiovascular disease is a major complication of type 2 diabetes mellitus. In addition to traditional risk factors, psychological determinants play an important role in CVD risk. This study applied Deep Neural Network to develop a CVD risk prediction model and explored the bio-psycho-social contributors to the CVD risk among patients with T2DM. From 2017 to 2020, 834 patients with T2DM were recruited from the Department of Endocrinology, Affiliated Hospital of Harbin Medical University, China. In this cross-sectional study, the patients' bio-psycho-social (...) information was collected through clinical examinations and questionnaires. The dataset was randomly split into a 75% train set and a 25% test set. DNN was implemented at the best performance on the train set and applied on the test set. The receiver operating characteristic curve analysis was used to evaluate the model performance. Of participants, 272 were diagnosed with CVD. The developed ensemble model for CVD risk achieved an area under curve score of 0.91, accuracy of 87.50%, sensitivity of 88.06%, and specificity of 87.23%. Among patients with T2DM, the top five predictors in the CVD risk model were body mass index, anxiety, depression, total cholesterol, and systolic blood pressure. In summary, machine learning models can provide an automated identification mechanism for patients at CVD risk. Integrated treatment measures should be taken in health management, including clinical care, mental health improvement, and health behavior promotion. (shrink)

The prevalences of hypertension, diabetes and overweight/obesity are increasing in most developing countries, including Bangladesh. Although earlier studies have investigated the factors associated with these three conditions, little is known about whether socioeconomic status is associated with their co-existence. This cross-sectional study analysed data from the 2011 Bangladesh Demographic and Health Survey. An individual was considered hypertensive, diabetic and overweight/obese if their systolic/diastolic blood pressure, fasting plasma glucose concentration, and body mass index were ≥130/80 mmHg, ≥7 mmol/l and ≥23 kg/m2, (...) respectively. Furthermore, individuals who reported taking anti-hypertensive and anti-diabetic drugs were also considered as hypertensive and diabetic, respectively. Two socioeconomic variables were investigated: education level and household wealth quintile. Descriptive analyses and multilevel logistic regression were conducted. Among the 7932 respondents aged ≥35 years, the prevalences of hypertension, diabetes, overweight/obesity, any one condition and the co-existence of the three conditions were 48.0%, 11.0%, 25.3%, 60.9% and 3.6%, respectively. In adjusted analysis, individuals with secondary and college or above education levels had higher odds of the co-existence of all three conditions compared with those with no formal education. Similarly, compared with the poorest wealth quintile, the richer and richest wealth quintiles had higher odds of co-existence of these three conditions. Education and wealth quintile also showed significant relationships with each of the three conditions separately. In conclusion, in Bangladesh, hypertension, diabetes and overweight/obesity are associated with indicators of higher socioeconomic status. These findings highlight the importance of developing healthy lifestyle interventions targeting individuals of higher socioeconomic status to minimize the burden of these non-communicable diseases. (shrink)

IntroductionResearch indicates that body image disturbance is associated with poorer psychosocial outcomes for individuals with physical health conditions, with poorest body image reported for individuals with visible bodily changes. Using White’s theoretical model of body image the present paper aimed to examine the nature of these relationships in two distinct groups: individuals with an amputation and individuals with diabetes. It was hypothesized that body image disturbance would be associated with psychosocial outcomes and would mediate the relationships between self-ideal discrepancy and (...) personal investment in psychosocial outcomes.MethodsIndividuals with diabetes and individuals with an amputation provided details regarding their medical condition, and completed measures assessing body image, investment, self-ideal discrepancy, depression, anxiety, and quality of life. Structural equation and invariance modeling were used to test the model paths and the invariance of the model.ResultsAs hypothesized, body image disturbance was found to mediate the relationships between personal investment and psychosocial outcome, and between self-ideal discrepancy and psychosocial outcome. The predicted paths were invariant across groups, although the model accounted for more variance in people with an amputation than people with diabetes.ConclusionBody image disturbance, personal investment, and self-ideal discrepancy are important factors contributing to psychosocial outcome for individuals with diabetes and individuals with an amputation. These findings not only confirm the validity of the model in these two groups, but they emphasize the importance of targeting body image in future psychological interventions for individuals with a health condition. (shrink)

Diabetes has been associated with affective disorders which complicate the management of the disease. Emotional intelligence, or the ability to perceive, facilitate, understand, and regulate emotions, has shown to be a protective factor of emotional disorders in general population. The main objective of this study was to systematically review the role of the EI construct in Type 1 and Type 2 diabetics and to observe how EI is related to biological and psychological variables. Comprehensive searches were conducted in PubMed, Scopus, (...) PsycInfo, and Cochrane without time limitations, for studies examining the link between diabetes and EI. A total of 12 eligible studies were selected according to the inclusion criteria. We divided the results into four sections: EI and hemoglobin glycosylated, EI training effects, differences in EI between persons with diabetes and without diabetes, and EI and psychological adjustment and well-being. The results showed negative correlations between EI and HbA1c, positive effects of EI training on quality of life, anxiety, and glycemic control, no differences in EI between people with diabetes and healthy individuals, and, finally, negative correlations between EI and different psychological variables such as diabetes-related anxiety and distress, and positive correlations with quality of life, well-being, and marital satisfaction. This systematic review offers a starting point for a theoretical and practical understanding of the role played by EI in the management of diabetes and reveals that EI is a promising protective factor for biological and psychological variables in this population. (shrink)

Diabetes is one of the most common metabolic diseases that cause high blood sugar. Early diagnosis of such a condition is challenging due to its complex interdependence on various factors. There is a need to develop critical decision support systems to assist medical practitioners in the diagnosis process. This research proposes developing a predictive model that can achieve a high classification accuracy of type 2 diabetes. The study consisted of two fundamental parts. Firstly, the study investigated handling missing data adopting (...) data imputation, namely, median value imputation, K-nearest neighbor imputation, and iterative imputation. Consequently, the study validated the implications of these imputations using various classification algorithms, i.e., linear, tree-based, and ensemble algorithms, to see how each method affected classification accuracy. Secondly, Artificial Neural Network was employed to model the best performing imputed data, balanced with SMOTETomek ensuring each class is represented fairly. This approach provided the best accuracy of 98% on the test data, outperforming accuracies achieved in prior studies using the same dataset. The dataset used in this study is concerned with gender and population. As a prospect, the study recommends adopting a larger population sample without geographic boundaries. Additionally, as the developed Artificial Neural Network model did not undergo any specific hyperparameter tuning, it would be interesting to explore tuning on top of normalized data to optimize accuracy further. (shrink)

Type 2 diabetes has been considered a public health threat due to its growing prevalence, particularly in the older population. It is important to know the effects of psychosocial stress and its potential consequences for some basic cognitive processes that are important in daily life. Currently, there is very little information about how people with T2D face acute psychosocial stressors, and even less about how their response affects working memory, which is essential for their functionality and independence. Our aim was (...) to characterize the response to an acute laboratory psychosocial stressor and its effects on WM in older people with T2D. Fifty participants with T2D from 52 to 77 years old were randomly assigned to a stress or control condition. Mood and physiological responses to tasks were measured. In addition, participants completed a WM test before and after the stress or control task. Our results showed that the TSST elicited higher negative affect and greater C and sAA responses than the control task. No significant differences in WM were observed depending on the exposure to stress or the control task. Finally, participants who showed higher C and sAA responses to the stressor had lower WM performance. Our results indicate that medically treated older adults with T2D show clear, typical mood and physiological responses to an acute psychosocial stressor. Finally, the lack of acute psychosocial stress effects on WM suggests that it could be related to aging and not to this disease, at least when T2D is adequately treated. (shrink)

Background: Frailty is a common syndrome among older adults and patients with several comorbidities. Grip strength is a representative parameter of frailty because it is a valid indicator of current and long-term physical conditions in the general population and patients with severe mental illnesses. Physical and cognitive capacities of people with SMIs are usually impaired; however, their relationship with frailty or social functioning have not been studied to date. The current study aimed to determine if GS is a valid predictor (...) of changes in cognitive performance and social functioning in patients with type-2 diabetes mellitus and SMIs. Methods: Assessments of social functioning, cognitive performance, and GS were conducted in 30 outpatients with type 2 diabetes mellitus, 35 with major depressive disorder, 42 with bipolar disorder, 30 with schizophrenia, and 28 healthy controls, twice during 1-year, follow-up period. Descriptive analyses were conducted using a one-way analysis of variance for continuous variables and the chi-squared test for categorical variables. Differences between groups for the motor, cognitive, and social variables at T1 and T2 were assessed using a one-way analysis of covariance, with sex and age as co-variates. To test the predictive capacity of GS at baseline to explain the variance in cognitive performance and social functioning at T2, a linear regression analysis was performed. Results: Predictive relationships were found among GS when implicated with clinical, cognitive, and social variables. These relationships explained changes in cognitive performance after one year of follow-up; the variability percentage was 67.7%, in patients with type-2 diabetes mellitus and 89.1% in patients with schizophrenia. Baseline GS along with other variables, also predicted changes in social functioning in major depressive disorder, bipolar disorder, and schizophrenia, with variability percentages of 67.3, 36, and 59%, respectively. Conclusion: GS combined with other variables significantly predicted changes in cognitive performance and social functioning in people with SMIs or type-2 diabetes mellitus. Interventions aimed to improve the overall physical conditions of patients who have poor GS could be a therapeutic option that confers positive effects on cognitive performance and social functioning. (shrink)

In 1936, the journalist Hannah Lees published “Two Million Tightrope Walkers,” drawing attention to the significant number of people in the United States estimated to have diabetes. Focusing on how people with diabetes should live, she emphasized the importance of recording the exact values of everything they ate and avoiding all “riotous living” lest they be unable to keep careful measurements of calories, insulin, and sleep. Employing two meanings of measured – as counted and as moderate – Lees was doing (...) more than communicating how someone might control their disease; she was also calling for a “controlled and self-reliant citizenry.” Indeed, Lees insisted that diabetics who followed a regime of measurement “make a good deal better citizens than the average.” Drawing on the writings of Lees and other social commentators, I explore the link between biometrics, citizenship, and diabetes in the United States in the interwar years. In particular, I look at how this disease came to symbolize both the regimes of discipline thought to be necessary in a society moving to consumption as its economic motor, and the fears of what could happen if consumption ran amok. Biometrics, I argue, offered clinicians and patients a potent tool for measuring deviance and, potentially, for restoring a person to the “norm.”. (shrink)

Diabetes is a chronic disease caused by insulin deficiency, and it should be detected in the early stages for effective treatment. In this paper, the Diabetes-Network is proposed to increase diabetes predictive accuracy. The proposed Dia-Net is a dual-stage network. It combines both optimized probabilistic neural network and optimized radial basis function neural network in the first stage. Hence, Dia-Net possesses the advantages of both the models. In the second stage, the linear support vector machine is used. As the dataset (...) size increases, both RBFNN and PNN perform better, but both suffers from complexity and computational problems. To address these problems, in this paper, particle swarm optimization-based clustering is employed for discovering centers in high-dense regions. This reduces the size of the hidden layer of both RBFNN and PNNs. Experiments are carried out on the Pima Indians Diabetes dataset. The Experimental results showed that the proposed Dia-Net model outperformed individual as well as state-of-the-art models. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...) of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

Soon after the discovery of insulin in the early 1920s, the popular press celebrated the miraculous discovery. Although insulin had no curative effect on the chronic state of diabetes, it was frequently heralded as a “cure.” This paper examines how the discovery of insulin intersected with the rise of diabetic technology and the transfer of medical technology to the home setting. By analyzing diabetic manuals written for patients and physicians, letters exchanged between patient and physician, medical journals, magazines and newspapers, (...) I trace how patients learned about insulin and more significantly how patients adopted measurement technologies designed to allow better home administration of insulin. This included acquiring knowledge about nutritional content and scales, maintaining sterile glass syringes, sharpening needles, using chemistry to measure sugar in the urine, and recording various measurements into meaningful text for patient-physician dialogue. As diabetes was re-imagined as a chronic and controllable illness, patients and physicians alike grappled with the promises and limitations of new medical technologies. This historical perspective offers a lens for better understanding the process of implementing diabetic treatment plans that required home testing, measurement, and recording of medical data. Such processes centered the importance of patient-centered work and the value of diabetic technologies. Much of this discourse is outlined in diabetic manuals of the 1920s. (shrink)

The main objective of the research is to provide a multi-agent data mining system for diagnosing diabetes. Here, we use multi-agents for diagnosing diabetes such as user agent, connection agent, updation agent, and security agent, in which each agent performs their own task under the coordination of the connection agent. For secure communication, the user symptoms are encrypted with the help of Elliptic Curve Cryptography and Optimal Advanced Encryption Standard. In Optimal Advanced Encryption Standard algorithm, the key values are optimally (...) selected by means of differential evaluation algorithm. After receiving the encrypted data, the suggested method needs to find the diabetes level of the user through multiple kernel support vector machine algorithm. Based on that, the agent prescribes the drugs for the corresponding user. The performance of the proposed technique is evaluated by classification accuracy, sensitivity, specificity, precision, recall, execution time and memory value. The proposed method will be implemented in JAVA platform. (shrink)

This paper explores the importance of hope as a determining factor for patients to participate in first-in-human trials for synthetic biology therapies. This paper focuses on different aspects of hope in the context of human health and well-being and explores the varieties of hope expressed by patients. The research findings are based on interview data collected from stable gout and diabetes patients. Three concepts of hope have emerged from the interviews: hope as certainty ; hope as reflective uncertainty ; hope (...) as self-therapy. The purpose of the paper is twofold. First, it aims to underline the significance of hope in patients’ medical decision-making, as well as the beneficence of hope for patients’ well-being, and for progress in research. Second, it shows how philosophical investigations—in particular Descartes—explore the phenomenon of hope and provide medical empirical research with profitable insights and tools. (shrink)

In this article, we investigate the role of scientific and patient narratives on perceptions of the medical debate around gestational diabetes testing. Among medical scientists, we show that the narrative surrounding GDM testing affirms that future research and data will lead to medical consensus. We call this narrative trajectory the “deferred quest.” For patients, however, diagnosis and their subsequent discovery that biomedicine does not speak in one voice ruptures their trust in medical authority. This new distrust creates space for patients (...) to develop a Frankian quest narrative where they become the protagonist in their story. Additionally, across these different narratives, we observe how character is constructed and employed to negotiate trust. We conclude that healthcare providers should assess the narrative trajectory adopted by patients after diagnosis. Also, we suggest that providers acknowledge the lack of medical consensus to their patients. This veracity would foster women’s sense of trust in their provider as well as allow women to be active interlocutors in a debate that ultimately plays out in their deliberation about their body, pregnancy, and risk. (shrink)

The aim of the study was to explore heterogeneity of change in state affect following the introduction of insulin therapy in patients with type 2 diabetes. State affect was assessed twice among 305 patients: just before the introduction of insulin therapy and at 1-month follow-up. Latent class growth modeling showed that negative affect increased in 78% of the sample, whereas positive affect improved in only 17% of the participants. On the basis of cross-tabulation of these changes a 4-class model of (...) emotional response to the new treatment was obtained. The largest subgroup of participants manifested “threat response”, i.e. moderate-stable PA with increase in NA. Participants in the “challenge response” subgroup showed increases in both NA and PA. The third class characterized by “no response”, had low-stable NA and moderate-stable PA. The smallest “stress response” subgroup showed increase in NA and high-stable PA. Gender, age and education level were significant covariates of group membership. Thus, the findings revealed heterogeneous emotional response to the new treatment, which may be of clinical relevance for improving diabetic patients’ adjustment through a more individual, person-centered approach. (shrink)

Pragmatic presupposition is analyzed in this paper as grounded on an implicit reasoning process based on a set of presumptions, which can define cultural differences. The basic condition for making a presupposition can be represented as a reasoning criterion, namely reasonableness. Presuppositions, on this view, need to be reasonable, namely as the conclusion of an underlying presumptive reasoning that does not or may not contain contradictions with other presumptions, including the ordering of the hierarchy of presumptions. Presumptions are in turn (...) analyzed considering their nature and their hierarchy, namely their object and their possible contextual backing, which eliminates some of their possible defaults. This analysis of presupposition brings to light the relationship between communicative infelicities or misunderstandings deriving from presuppositional failures and the underlying system of presumptions and presumptive reasoning. This approach can be applied to the investigation of communicative problems within the medical context, and more precisely the communication in diabetes cases. (shrink)

Both glycemic control and handgrip strength affect microvascular function. Multiscale entropy of photoplethysmographic pulse amplitudes may differ by diabetes status and hand activity. Of a middle-to-old aged and right-handed cohort without clinical cardiovascular disease, we controlled age, sex, and weight to select the unaffected,the well-controlled diabetes, and the poorly controlled diabetes groups. MSEs were calculated from consecutive 1,500 PPG pulse amplitudes of bilateral index fingertips. Thesmall-, medium-,and large-scale MSEs were defined as the average of scale 1, scales 2–4, and scales (...) 5–10, respectively. Intra- and intergroups were compared by one- and two-samplet-tests, respectively. The dominant handMSE5–10was lower in the poorly controlled diabetes group than the well-controlled diabetes and the unaffected groups, whereas the nondominant handMSE5–10was lower in the well- and poorly controlled diabetes groups than the unaffected group. TheMSE1of dominant hand was higher than that of nondominant hand in the well-controlled diabetes. In conclusion, diabetes status and hand dominance may affect the MSE of PPG pulse amplitudes. (shrink)

In middle adulthood the intensity of stress is significantly higher than in the preceding developmental period. This stress is particularly significant in the case of chronically ill women, including those with type 2 diabetes. In this group, the disease-related stress intensifies the difficulties generated by the decrease of age-related organismic resources and in many instances impairs the quality of life. Therefore, an ability to cope with difficult situations is of crucial importance. The aim of the research was to estimate the (...) general level of life-satisfaction, as well as the frequency and effectiveness of proactive coping strategies in a group of middle adulthood women with type 2 diabetes compared to women not suffering from diabetes. The study was conducted with methods which have acknowledged psychometric properties as well as a survey collecting sociodemographic data. Women suffering from type 2 diabetes are less satisfied with their prior and current life, health and the physical dimension of their lives and environment. Only partially do they employ proactive coping strategies different from those used by the women from the healthy group. For life-satisfaction in its various aspects it is particularly important for the diabetic women to more often use the strategy of reflective coping and to less often seek emotional support while using the strategy of preventive coping or avoidance. The proactive strategies directed at anticipated stress are connected with the level of life-satisfaction and considered to be health resources. (shrink)

Obesity is one of the most common health problems facing children and society today. Since 1960, the obesity rate among adults has risen to 34% in the United States, and morbid obesity is up six-fold. In 1980, only 14% of adult Americans were obese, but this figure had skyrocketed to 31% by 2000. Two out of three Americans today are overweight or obese, and one in 20 suffers from extreme obesity. In 2012, Reuters reported that obesity in America added $190 (...) billion to annual national health-care costs, passing smoking for the first time.Following closely on the heels of this epidemic is an explosion in the number of cases of diabetes, particularly... (shrink)

The concept of quality of life is the basis for a new paradigm of clinical medicine. Its assessment is considered to be an important instrument in determining disease severity and effectiveness of different treatment modalities. Our studies are devoted to the problem of diabetes complications especially anemia in patients with diabetic kidney disease. Anemia in subjects with diabetic nephropathy may result from various pathogenic factors including erythropoietin deficiency, iron deficiency, vitamin B12 and/or folate deficiencies, the effects of proinflammatory cytokines etc. (...) Diabetic patients with anemia are at increased risk of cardiovascular accidents and death. The aim of this study was to assess the influence of anemia on the quality of life of patients with early stages of diabetic nephropathy. We investigated 127 patients with type 2 diabetes mellitus and early diabetic nephropathy. Anemia was defined according to the World Health Organization criteria. Anemic patients were divided into three groups according to the stage of chronic kidney disease. Patients’ quality of life was assessed with SF-36 health survey. Anemic patients had lower scores of physical role functioning and emotional role functioning as compared to the patients with normal hemoglobin level, irrespective of the stage of chronic kidney disease. Patients with anemia and chronic kidney disease stage 3 had lower scores of general health perceptions, physical functioning, bodily pain, vitality and mental health than patients in the non-anemic group. Social role functioning was similar in anemic and non-anemic patients. The possible mechanisms and implications of the above mentioned findings are discussed with a medical and humanitarian perspective. The directions of further studies are proposed. (shrink)

This article examines Robbie McCauley’s Sugar, focusing on how this solo performance work opens up discursive spaces for a range of voices and perspectives. I argue that the ideas expressed in Sugar work as a type of vernacular theorizing, questioning the means by which certain perspectives and ways of knowing are valued over others. In the conclusion, I suggest how Sugar could serve as a model for health professionals involved in the fight again diabetes, as it opens up opportunities for (...) dialogue and makes visible the processual nature of people’s attempts to make sense of the disease. (shrink)

This paper aims to propose the concept of “Treatmentalization.” First, this concept is defined as dependency that occurs when people and society place emphasis not on prevention but on treatment of disease. Second, an example of treatmentalization through treating type 2 diabetes as a lifestyle-related disease is discussed. Finally, the structure and cause of treatmentalization is analyzed. In the past, main aim of medicine had been to prevent outbreak of infections. Humans were able to avoid many infections with such things (...) as immunization and antibiotic drugs. However, as technologies improved, people increasingly sought to treat other injur and disease. Moreover, extension of medicine has been caused by medicalization and treatmentalization. This paper will consider treatmentalization concurrently with the progression of type2 diabetes as an example, and analyze its structure. (shrink)

The number of people suffering from type 2 diabetes has been growing recently. This chronic disease is connected with lower perceived quality of life and experiencing a lot of stressful situations. Some of these situations can be anticipated. Thus, it is possible to prepare oneself for future difficult situations by using proactive coping strategies. The aim of this research was to verify the level of satisfaction with various areas of life, the frequency of use of proactive coping strategies in the (...) case of type 2 diabetes patients and healthy individuals, as well as mediation role of these strategies in the relationship between positive emotionality, cognitive curiosity and perceived quality of life. One hundred and seventy four persons took part in the research: 85 persons with diabetes and 89 healthy individuals. We used instruments with recognized psychometric properties: The Proactive Coping Inventory, The World Health Organization Quality of Life Instrument-BREF, PANAS Questionnaire and State-Trait Personality Inventory. The analysis of the results showed, among other things, that people suffering from type 2 diabetes are the least satisfied with their health, and the most with their treatment and knowledge about the disease. Healthy individuals are the most satisfied with the physical domain and one’s present life, whereas the least satisfied with the environmental domain. Both groups differ in terms of using proactive coping strategies. People with diabetes most often adopt a preventive strategy, whereas healthy individuals a reflective one. Two strategies turned out to be able to mediate in the relationship of positive emotionality and life satisfaction in the diabetes group. It was a strictly proactive and preventive coping strategy. No mediation effect was found in the group of healthy people. The results show that in the face of anticipated difficulties, people with type 2 diabetes try to protect their current resources by resorting to their existing knowledge, the level of which they are most satisfied with. The higher the positive emotionality/cognitive curiosity among people with type 2 diabetes, the higher their satisfaction with life, which is due to the fact, that they more frequently use proactive or preventive strategies to cope with stress. (shrink)

The paper investigates whether the changes in cognitive appraisal and coping strategies related to initiation of insulin treatment onset mediate the effect of temperament on changes in positivity ratio among diabetic patients. Temperament, cognitive appraisal, coping strategies and positivity ratio were assessed among 278 patients: just before conversion to insulin therapy and then one month later. Mediation analysis indicated that endurance and briskness were directly connected to changes in positivity ratio, whilst the effect of perseveration on positivity ratio was indirect (...) via changes in negative appraisal, emotion- and problem-focused coping. The results confirm the stressful nature of the initiation of insulin treatment, and the assumptions of Lazarus’ model of stress and regulative role of temperament. (shrink)

This essay examines the debate surrounding New York City’s controversial diabetes registry program. Exploring the tensions between public health officials and privacy advocates, the article explores how diabetes is imagined in the public sphere. Although rhetorics underscoring privacy may seem the more progressive discourse, I argue New York City’s Department of Health and Mental Hygiene has the more forward-looking plan, attempting to reconstitute diabetes not as a chronic condition necessitating individual management but as a disease that requires systemic intervention.

The paper links a debate in the history of medical science between statistics and the experimental method with contemporary diabetes educational practices. An empirical example of a tension between neglect and concern in diabetes self-regulation frames the subsequent theoretical discussion between first, Claude Bernard and statistics and afterwards, Georges Canguilhem as a correlative to Bernard. Through these philosophers of medical science a connection between the experimental method and education is demonstrated. Finally, a case description of an experimental approach to alcohol (...) and experimentation frames and highlights the educational aspect of the methodological discussion. (shrink)

This paper explores the condition of stultitia, which is described by Michel Foucault in The Hermeneutics of the Subject as a condition one is in, before having started to care for the self. The purpose is to shed light on one of the paradoxes of patient education by introducing and elaborating an aspect of Foucault’s literary activities, which has not, to my knowledge, been investigated empirically before. To illustrate this condition, the paper targets the relation between type 2 diabetes, contemporary (...) norms of healthy living, diabetes education, and the situation that sometimes occurs when individuals are not capable of, or motivated to, taking care of themselves. It specifically targets a situation, which is both incomprehensible to health professionals and patients alike; when patients desire a healthy life, but at the same time do not pursue it according to the recommendations. Thus, it is a condition of madness, which is investigated; madness in the sense that patients have internalised a rationality, against which their own behaviour rebels. (shrink)

Since the 1990s, glycated haemoglobin (HbA1C) has been the gold standard for monitoring glycaemic control in people diagnosed as having either type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM). Discussions are underway about diagnosing diabetes mellitus on the basis of HbA1C titres and using HbA1C tests to screen for T2DM. These discussions have focused on the relative benefits for individual patients, with some attention directed towards reduced costs to healthcare systems and benefits to society. We argue that (...) there are strong ethical reasons for adopting HbA1C-based diagnosis and T2DM screening that have not yet been articulated. The rationale includes the differential impact of HbA1C-based diabetic testing on disadvantaged groups, and what we are beginning to learn about HbA1C vis-à-vis population health. Although it is arguable that screening must primarily benefit the individual, using HbA1C to diagnose and screen for T2DM may promote a more just distribution of health resources and lead to advances in investigating, monitoring and tackling the social determinants of health. (shrink)

Advances in genomic medicine have lead to debate about the potential inclusion of genetic tests for susceptibility to common complex disorders in newborn screening programmes. Empirical evidence concerning psychosocial reactions to genetic testing is a crucial component of both ethical debate and policy development, but while there has been much speculation concerning the possible psychosocial impact of screening newborns for genetic susceptibilities, there remains a paucity of data. The aim of the study reported here is to provide some of this (...) missing empirical evidence, using type 1 diabetes as an example of a common disorder with multiple significant genetic contributors to its aetiology. Semi-structured interviews were conducted with 11 parents of babies who had received increased risk results in a study that involved newborn screening for genetic susceptibility to type 1 diabetes. Interpretative phenomenological analysis was used to evaluate the data. The interview data suggest that the probabilistic nature of results of genetic susceptibility tests impacts upon all aspects of parents' psychosocial reactions, resulting in a complex and dynamic process quite different to that described in relation to current newborn screening programmes. While parents generally reported fairly minor levels of concern in response to news of their child's increased genetic risk, these worries frequently recurred, and perception of risk also varied and fluctuated over time. Both individual and contextual factors appeared to interact with the inherent uncertainty of the test result to contribute to the dynamic nature of parental reactions, and their behavioural responses. The implications of these findings for future research and for the debate concerning potential expansion of newborn screening are discussed. (shrink)

What is medical progress? The answer to this question is often associated with advances in diagnostic technology, with greater understanding of disease or pathological mechanisms particularly at the molecular level, or with the discovery of drugs and the developmental of surgical procedures to treat diseases. However, this facile answer can be problematic. In a New York Times Magazine article, for example, Lisa Sanders (2003) recounts a lecture delivered to her first-year class, at a "white-coat" ceremony, by the medical school dean. (...) Half of what we—the faculty—teach you—the students—is nonsense, she was told, but we don't know which half. She illustrates what the dean said, with the following change in advice for .. (shrink)