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1
Kennedy, Michael G. "Relapse in Schizophrenia : the relationships among insight, symptom recognition, symptom self-management, and perceived effectiveness of symptom self-management at the time of hospitalization /." Thesis, Connect to this title online; UW restricted, 1994. http://hdl.handle.net/1773/7372.
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Hull, Carolyn M., and Carolyn M. Hull. "Assessing the Impact of a Transitional Care Program on Symptom Recognition and Self-care in Heart Failure Patients." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/622989.
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Background: Heart failure (HF) is a complex, costly and debilitating chronic health condition. Symptom recognition and self-care are crucial components of heart failure management; however, many HF patients struggle to perform these behaviors and skills at a proficient level. A transitional care program in the Southwest provides services to heart failure patients. A primary program aim is to help facilitate enhanced symptom recognition and self-care among heart failure patients. This project focuses on the assessment of the impact of such a transitional care program on HF patients' ability to perform symptom recognition and self-care. Methods: Demographic questionnaires were distributed to collect socioeconomic data and clinical characteristics of participants. A pre and post SCHFI survey was completed by participants, and analysis of data performed using a paired t-test. Results: The 15 participants were primarily Hispanic, elderly, and male. The majority of participants reported an annual income less than $10,000, lived in close proximity to the transitional care clinic, reported living with family and/or friends, and had at least one additional comorbidity. There was improvement in self-care maintenance scores following the initial transitional care encounter; however, participants did not achieve self-care adequacy in this domain. Participants also did not achieve self-care adequacy in self-management. Self-confidence scores improved to reach adequacy following the initial transitional care encounter; however, results were not statistically significant. Conclusion: With the complexities of HF self-management, it is not alarming that these patients have continued to struggle with symptom recognition and self-care. Recommendations are made for future research and interventions.
3
Lim, Anita Wey Wey. "Investigating the potential for expediting diagnosis of ovarian cancer via prompt symptom recognition & "targeted screening"." Thesis, Queen Mary, University of London, 2009. http://qmro.qmul.ac.uk/xmlui/handle/123456789/500.
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This thesis explores the potential for using symptoms as a tool to bring forward the diagnosis of ovarian cancer. Current evidence supports the existence of prediagnostic symptoms, however symptom lead time has yet to be adequately quantified. „Targeted screening‟ is one possible approach to expediting diagnosis. This would involve offering a blood test (e.g. CA125 or a future biomarker) to postmenopausal women presenting to primary care with symptoms possibly related to ovarian cancer. Key barriers include the non-specific nature of ovarian cancer symptoms and potential impact on GP workload. The main aims of this PhD research project were: To quantify the lead time of symptoms in ovarian cancer. To estimate the GP workload associated with offering a blood test to postmenopausal women with ovarian cancer symptoms. Following a background to ovarian cancer symptoms research; a brief overview of the epidemiology of ovarian cancer, a case-control study to quantify symptom lead time, and a cross-sectional pilot study to estimate GP workload and symptom specificity in women aged 45-74 in the general population is presented. This is complemented by a systematic review focussed on the evidence for symptom lead time in ovarian cancer since 1980, with an update on ovarian cancer symptoms and a discussion of some of the methodological issues. The main findings showed that the diagnostic process could be initiated at least 3 months prior to the current date of diagnosis, in 45% to 74% of cases. However, pilot data suggest that 13%-35% of women in the general population aged ≥45 would be offered „targeted screening‟ in 1 year. Delays in ovarian cancer diagnosis of concern were identified but require further examination. Timing of symptoms is also an important consideration. The concluding chapter summarises the main findings of this thesis and discusses possibilities for future research.
4
Walsh, Susan A. "The Effects of Pattern Recognition Based Simulation Scenarios on Symptom Recognition of Myocardial Infarction, Critical Thinking, Clinical Decision-Making, and Clinical Judgment in Nursing Students." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/nursing_diss/18.
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In the United States nearly 1 million annual new and recurrent myocardial infarctions (MI) occur with 10% of patients hospitalized with MI having unrecognized ischemic symptoms. Inexperienced nurses are expected to accurately interpret cardiac symptom cues, possibly without ever having experienced care of patients with MI, yet have been shown to be less able to classify symptom cues and reach accurate conclusions than experienced nurses. The purpose of this study was to test an educational intervention using theories of pattern recognition to develop CT in MI and improve nursing students’ clinical decision-making and clinical judgment using high fidelity patient simulation. This study used a quasi-experimental three group pre-/post-test design and qualitative data to triangulate information on critical thinking, clinical decision-making, and clinical judgment in MI. A sample of junior baccalaureate in nursing students (N = 54) from a large metropolitan university were divided in pairs and randomized to one of two control groups. Data were collected with instruments which measured pattern recognition in MI, critical thinking in MI, and self-perception of clinical decision-making. In addition, diagnostic efficiency and accuracy were measured. Triangulation on clinical decision making with semi-structured interviews using ‘thinking aloud’ technique was conducted. Data were analyzed as qualitative data and compared among groups. Students who were given prototypes for MI using simulation significantly improved critical thinking as measured by pattern recognition in MI (t(3.153(2), p = .038) compared with the non-simulation control group. Qualitative findings showed that students receiving the experimental simulation with a non-MI scenario and feedback-based debriefing had greatest gains in clinical reasoning which included development of clinical decision-making using analytic hypothetico-deductive and Bayesian reasoning processes and learned avoidance of heuristics. Students receiving the experimental simulation learned to identify salient symptom cues, analyzed data more complexly, and reflected on their simulation experience in a way which students reported improved learning. Students who were given MI only simulation scenarios developed deleterious heuristics and showed fewer gains in clinical reasoning, though both simulation groups demonstrated greater critical thinking ability than the non-simulation control group. Findings support the use of simulation to improve clinical reasoning including pattern recognition and clinical decision-making, and emphasize the significance of simulation scenario construction and debriefing to achieving learning outcomes. The findings could be used to guide further research to improve critical thinking, clinical decision-making, and clinical judgment in nursing students using simulation. Funding for this study was provided by the American Association of Critical Care Nurses and Philips Medical Systems and a testing grant from Elsevier, Assessment.
5
Farmer, Caroline. "Understanding poor help-seeking rates for major depressive disorder." Thesis, University of Exeter, 2013. http://hdl.handle.net/10871/14620.
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The principal aim of this thesis was to further understanding of the factors influencing decisions to seek treatment for Major Depressive Disorder. A review of the literature (Chapter 2) revealed a number of factors associated with help-seeking for mental health disorders. However, there was no existing theoretical model of decisions to seek treatment for MDD, and there was limited understanding of the psychological and emotional processes involved in seeking treatment for depressive symptoms. In Study 1 (Chapter 3), a qualitative study explored participants’ accounts of seeking treatment for MDD, which resulted in the development of a theoretical model of help-seeking. This model highlighted the role of identity and goals in decisions to seek treatment for MDD. Subsequent studies in this thesis sought to test predictions made by this model. Study 2 (Chapter 4) explored the relationship between identity and goal conflict and depressed individuals’ acknowledgement of depressive symptoms and perceived need for treatment. Findings of this study suggested that greater identity conflict, but not goal, conflict was associated with reduced acknowledgement of depressive symptoms and less perceived need for treatment. Study 3 (Chapter 5) sought to replicate this relationship, and also tested the extent to which identity as a depressed person and socio-cognitive models of health behaviour could predict (i) intentions to seek treatment for depression and (ii) current treatment seeking. This study found that identity conflict was associated with reduced acknowledgement of depressive symptoms, but failed to replicate the relationship between identity conflict and perceived need for treatment for depression. However, greater identity as a depressed person was associated with both current treatment seeking and greater intentions to seek help. Analyses demonstrated that the Theory of Planned Behaviour and the Health Belief Model predicted current help-seeking and help-seeking intentions, but identity as a depressed person explained an additional significant proportion of the variance. A unified model, drawing on these two theories and incorporating identity was found to be the best fit in accounting for intentions to seek help for depression. The findings of Study 4 (Chapter 6) demonstrated that identity as a depressed person was also a significant predictor of prospective help-seeking behaviour for MDD. In this study, the majority of factors from the Theory of Planned Behaviour and Health Belief Model, extended to include identity, predicted help-seeking behaviour indirectly via intentions to seek help. However, intentions to seek help only predicted a small proportion of the variance in help-seeking behaviour, and the findings revealed that a subsample of factors, including identity, directly predicted help-seeking behaviour. The final study sought to use an online focus group to develop a measure of symptom avoidance in depressed individuals. This study faced methodological difficulties, and Chapter 7 reflects on the use of online focus groups to explore patient experiences of illness. The findings of this study highlighted participant experiences of using an online focus group method to discuss personal experiences of MDD, and this chapter provides specific guidance for other researchers planning to use this method in the context of health research. The implications of the findings of this thesis are discussed in Chapter 8, alongside recommendations for future help-seeking research.
6
Tsanas, Athanasios. "Accurate telemonitoring of Parkinson's disease symptom severity using nonlinear speech signal processing and statistical machine learning." Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572585.
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This study focuses on the development of an objective, automated method to extract clinically useful information from sustained vowel phonations in the context of Parkinson’s disease (PD). The aim is twofold: (a) differentiate PD subjects from healthy controls, and (b) replicate the Unified Parkinson’s Disease Rating Scale (UPDRS) metric which provides a clinical impression of PD symptom severity. This metric spans the range 0 to 176, where 0 denotes a healthy person and 176 total disability. Currently, UPDRS assessment requires the physical presence of the subject in the clinic, is subjective relying on the clinical rater’s expertise, and logistically costly for national health systems. Hence, the practical frequency of symptom tracking is typically confined to once every several months, hindering recruitment for large-scale clinical trials and under-representing the true time scale of PD fluctuations. We develop a comprehensive framework to analyze speech signals by: (1) extracting novel, distinctive signal features, (2) using robust feature selection techniques to obtain a parsimonious subset of those features, and (3a) differentiating PD subjects from healthy controls, or (3b) determining UPDRS using powerful statistical machine learning tools. Towards this aim, we also investigate 10 existing fundamental frequency (F_0) estimation algorithms to determine the most useful algorithm for this application, and propose a novel ensemble F_0 estimation algorithm which leads to a 10% improvement in accuracy over the best individual approach. Moreover, we propose novel feature selection schemes which are shown to be very competitive against widely-used schemes which are more complex. We demonstrate that we can successfully differentiate PD subjects from healthy controls with 98.5% overall accuracy, and also provide rapid, objective, and remote replication of UPDRS assessment with clinically useful accuracy (approximately 2 UPDRS points from the clinicians’ estimates), using only simple, self-administered, and non-invasive speech tests. The findings of this study strongly support the use of speech signal analysis as an objective basis for practical clinical decision support tools in the context of PD assessment.
7
Friedman, Karen Blanc Spiers Mary. "Are symptoms of postpartum depression associated with deficits in facial and auditory emotional recognition? /." Philadelphia, Pa. : Drexel University, 2008. http://hdl.handle.net/1860/2828.
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Horsley, John Robert. "Respiratory symptoms in the elderly and their clinical significance in the recognition of asthma." Thesis, University of Southampton, 1990. https://eprints.soton.ac.uk/421960/.
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9
Lee, Brian N. "Facial Expression Discrimination in Adults Experiencing Posttraumatic Stress Symptoms." TopSCHOLAR®, 2011. http://digitalcommons.wku.edu/theses/1123.
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The present study examined the impact of posttraumatic stress symptoms (PTSS) on adults’ ability to discriminate between various facial expressions of emotions. Additionally, the study examined whether individuals reporting PTSS exhibited an attentional bias toward threat-related facial expressions of emotions. The research design was a 2 (expression intensity) x 3 (emotional pairing) x 2 (PTSS group) mixed-model factorial design. Participants for the study were 89 undergraduates recruited from psychology courses at Western Kentucky University. Participants completed the Traumatic Stress Schedule to assess for prior exposure to traumatic events. A median split was used to divide the sample into two groups (i.e., low and high PTSS). Additionally, participants also completed a demographics questionnaire, the Impact of Events Scale-Revised, the Center for Epidemiological Studies Depression Scale, and the Depression Anxiety Stress Scales to assess for possible covariates. Then, participants completed the discrimination of facial expressions task and the dot probe position task. Results indicate that individuals experiencing high levels of PTSS have difficulty discriminating between threatening and non-threatening facial expressions of emotions; additionally, these individuals’ difficulty is exacerbated by comorbid levels of anxiety symptoms. Furthermore, results suggests these individuals focus attention on threatening facial expressions while avoiding expressions that may activate memories associated with the prior trauma. These findings have significant clinical implications, as clinicians could focus treatment on correcting these difficulties which should help promote more beneficial social interactions for these individuals experiencing high levels of PTSS. Additionally, these behavioral measures could be used to assess the effectiveness of treatment. Effective treatment should help alleviate these difficulties, which could be measured by improved performance on the discrimination of facial expressions task and the dot probe position task from baseline to post-treatment.
10
Sink, Holli E. "Distinguishing Subtypes of Psychopathy in Youth based on Anxiety, Posttraumatic Stress Symptoms, and Emotion Recognition." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1279481371.
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Warren, Vicki J. "Recognition of Facial Expression of Emotion by Persons with Metal Retardation and Symptoms of Depression." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1381495185.
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Warren, Vicki J. "Recognition of facial expression of emotion by persons with mental retardation and symptoms of depression /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu148775943632696.
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13
Motan, Irem. "Recognition Of Self Conscious Emotions In Relation To Psychopathology." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609222/index.pdf.
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The aim of this study is to discover nonverbal, bodily gesture and contextual cues indicating self-conscious emotions and use these clues to examine personal differences and psychopathological symptoms. Moreover, possible effects of cultural differences on self-conscious emotions&rsquorecognition and their relation to psychopathology are meant to be discussed. To achieve aforementioned goals, the study is partitioned into three separate but interdependent phases. The aim of the study is scale adaptation for which the State Shame and Guilt Scale, Test of Self-Conscious Affect-3, Guilt- Shame Scale, State-Trait Anxiety Inventory, and Beck Depression Inventory are applied to a group of 250 university students. The second study&rsquo
s objective is to determine the nonverbal expressions used in recognition of self-conscious emotions. To meet this goal, 5 TAT cards, whose compatibility with the research questions is verified, are applied to 45 university students in separate sessions by using close ended questions. In the third part of the study, 9 TAT cards, which include clues about recognition and nonverbal expressions of self-conscious emotions, adapted corresponding scales, and a psychopathological symptoms measuring scale (SCL-90) in self-report format are applied on a group of 250 university students. Factor and correlation analyses done in the first part reveal that adapted scales are reliable and valid, while group comparisons and measurements of the second part indicate differences in emotions. Findings reveal that shame can be recognized by nonverbal expressions whereas for guilt contextual clues are facilitated. In the third part, group comparisons and regression analyses, which are done in order to reveal self-conscious emotions&rsquo
recognition and their significant relationships with psychopathology, display that state self-conscious emotions and shame-proneness have very important roles on psychopathology. All these findings are discussed in the light of cultural effects.
14
Fuks, Geddes Czesia. "How do adolescents define depression? Links with depressive symptoms, self-recognition of depression, and social and emotional competence." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/1053.
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Depression in adolescents is a ubiquitous mental health problem presenting ambiguities, uncertainties, and diverse challenges in its conceptualization, presentation, detection, and treatment. Despite the plethora of research on adolescent depression, there exists a paucity of research in regards to obtaining information from the adolescents themselves. In a mixed method, cross-sectional study, adolescents (N= 332) in grades 8 and 11 provided their conceptions of depression. Adolescents' self-recognition of depression was examined in association with depressive symptomatology and reported pathways to talking to someone. Adolescents' social and emotional competence was also examined in association with severity of their depressive symptomatology.
Developed categories and subcategories of adolescent depression were guided by the Diagnostic and Statistical Manual for Mental Disorders (DSM-IV-TR) criteria for Major Depressive Episode (MDE) (American Psychiatric Association [APA], 2000). Adolescents' definitions of depression were dominated by subjective, holistic interpretations and add new information and depth to the previous research on adolescent depression. Depressed Mood and Social Impairment were the core categories, both contained intricate subcategories. The frequencies of these constructs provide a map of the themes and subthemes that pervade adolescents' personal philosophies regarding adolescent depression.
About half of the adolescents who self-recognized depression within two weeks (45%),qualify into screened depression (Reynolds Adolescent Depression Scale -2" version [RADS-2];Reynolds, 2002) criteria based on the DSM-IV-TR for MDE (APA, 2000). However, this study's findings showed that the mean for screened Depression Total Score (RADS-2; Reynolds, 2002)was significantly higher in those adolescents who self-recognized versus those who did not self-recognize depression. The majority of lifetime self-recognizers of depression thought that they needed to talk to someone and reported that they talked to someone when feeling depressed. Poor Emotion Awareness was a strong contributor to increasing vulnerability to depressive symptomatology. This study provides new theoretical insights regarding the concept and detection of adolescent depression, and links between social and emotional competence and depressive symptomatology. These findings extend previous research (APA, 2000), provide new understanding to guide future research, and have direct implications for research, policy, and practice strategies aimed to better communicate with and help young people with and without depression.
15
Daly, England Mary Ann, and England Mary Ann Daly. "Development of a Cardiac Prodromal Symptoms Recognition List for the Assessment of Women in Primary Care." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621826.
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ABSTRACT Heart disease is the number one killer of American women regardless of age or race. Women still face disparity in the assessment and recognition of heart disease. One key element that contributes to this delay is a prodromal symptom presentation that may impede quick assessment and streamline treatment for cardiovascular events. The aims of this project, using best evidence and initial testing with data from Arizona Health Sciences Center Clinical Research Data Warehouse, is to construct a women's Cardiac Prodromal Symptoms Recognition Assessment List to increase early recognition of cardiovascular etiology, resulting in earlier diagnostics and treatment. A literature review was completed to determine a list of current cardiac prodromal symptoms in women. Symptom data was mined from the clinical research data warehouse and compared to the symptom list. The project results support that prodromal symptoms are valid as identifiers of women experiencing a cardiac event. The literature review identified ten prodromal symptoms; Chest Pain/Discomfort, Shortness of Breath, Fatigue, Arm/Shoulder Pain, Weakness, Nausea/Indigestion, Back Pain, Jaw Pain, Sleep Disturbance and Dizziness/Syncope that are consistent in the literature. The Clinical Research Data Warehouse (CRDW) clinical elements did match the literature prodromal symptoms list with the additional elements of edema defined as a physical finding and depression defined as a risk factor. Application of the literature review and mined clinical data provide an opportunity to explore a clinical issue such as cardiac prodromal symptoms recognition for women and to assist providers in rapid identification and treatment initiation for women experiencing cardiac events.
16
Özgürdal, Seza, Haren Elisabeth van, Marta Hauser, Andreas Ströhle, Michael Bauer, Hans-Jörg Assion, and Georg Juckel. "Early Mood Swings as Symptoms of the Bipolar Prodrome: Preliminary Results of a Retrospective Analysis." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-134197.
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Background/Aims: Temperament and mood swings are promising indicators for the characterization of mood spectrum vulnerability. The aim of this study was to investigate the relationship between affective temperament and mood swings in bipolar disorder. We explored these clinical features retrospectively.
Methods: Patients who met the criteria for bipolar I disorder were enrolled in the study. Exclusion criteria were partial remittance and a full affective or psychotic episode. Data concerning illness and family history, mood swings (semistructured interview for mood swings) and depression (Beck, Depression Inventory) were obtained. We examined premorbid temperament with the validated German version Temps-M of the original version Temps-A. Patients with and without mood swings were compared with respect to the dominant temperament.
Results: Out of 20 bipolar patients, 6 subjects reported mood swings prior to the onset of affective disorder. Subjects with mood swings prior to the onset of bipolar disorder significantly correlated with a positive family history of affective disorders. Concerning cyclothymic and irritable temperament, bipolar affective patients with mood swings had higher scores. No differences were found between males and females.
Conclusion: Our findings go in line with previous results that mood swings, as represented by the cyclothymic temperament, are present prior to the first onset of bipolar disorder in a subset of patients. These traits may represent vulnerability markers and could presumably be used to identify individuals at high risk for developing bipolar disorder in order to prevent this illness. Further studies are indicated to clarify the correlation with genetic risk factors.
17
Gombojav, Narangerel. "Sympton-recognition, health service-seeking behaviour and the management of acute respiratory infection in infants in urban Mongolia." Thesis, University of the West of England, Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445111.
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Madison, Annelise Alissa. "Social Anxiety Symptoms, Heart Rate Variability, and Vocal Emotion Recognition: Evidence of a Normative Vagally-Mediated Positivity Bias in Women." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu15582676377176.
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Özgürdal, Seza, Haren Elisabeth van, Marta Hauser, Andreas Ströhle, Michael Bauer, Hans-Jörg Assion, and Georg Juckel. "Early Mood Swings as Symptoms of the Bipolar Prodrome: Preliminary Results of a Retrospective Analysis." Karger, 2009. https://tud.qucosa.de/id/qucosa%3A27567.
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Background/Aims: Temperament and mood swings are promising indicators for the characterization of mood spectrum vulnerability. The aim of this study was to investigate the relationship between affective temperament and mood swings in bipolar disorder. We explored these clinical features retrospectively.
Methods: Patients who met the criteria for bipolar I disorder were enrolled in the study. Exclusion criteria were partial remittance and a full affective or psychotic episode. Data concerning illness and family history, mood swings (semistructured interview for mood swings) and depression (Beck, Depression Inventory) were obtained. We examined premorbid temperament with the validated German version Temps-M of the original version Temps-A. Patients with and without mood swings were compared with respect to the dominant temperament.
Results: Out of 20 bipolar patients, 6 subjects reported mood swings prior to the onset of affective disorder. Subjects with mood swings prior to the onset of bipolar disorder significantly correlated with a positive family history of affective disorders. Concerning cyclothymic and irritable temperament, bipolar affective patients with mood swings had higher scores. No differences were found between males and females.
Conclusion: Our findings go in line with previous results that mood swings, as represented by the cyclothymic temperament, are present prior to the first onset of bipolar disorder in a subset of patients. These traits may represent vulnerability markers and could presumably be used to identify individuals at high risk for developing bipolar disorder in order to prevent this illness. Further studies are indicated to clarify the correlation with genetic risk factors.
20
Stephens, Victoria Clare. "Effects on depressive symptoms of a Web-based Cognitive Bias Modification-Interpretation (CBM-I) program for emotion recognition : a randomised controlled trial." Thesis, University of Exeter, 2014. http://hdl.handle.net/10871/16430.
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Depression is a global problem, causing disability and economic burden. Many people currently do not obtain treatment. Development of more accessible, cost-effective treatments is essential. An identified mechanism by which depression treatments work is through modifying underlying negative cognitive biases, which mediate changes in mood. A specific negative information-processing bias in depression is a tendency to interpret ambiguous facial expressions as sad rather than happy. The emotion recognition task is a treatment paradigm developed as a cognitive bias modification intervention to target this emotion recognition bias. Previous studies showed promising signs that this novel intervention could modify biases in people with low mood outside of laboratory conditions and potential to increase positive affect within laboratory conditions. The current study built on these developments, aiming to investigate, using a randomised controlled trial with follow-up at 2 and 6 weeks, whether a web-based version of the emotion recognition task could reduce depressive symptoms in addition to modifying emotion recognition biases. An analogue sample of 124 participants with low mood was recruited. Evidence was found that the intervention modified participants’ biases, compared to the control group but there was no evidence of improvement in mood. Study limitations included a high rate of attrition and non-adherence to the intervention. Future recommendations include modifying the intervention to increase acceptability, investigating generalizability of increased positive bias to different stimuli, and identifying consistent reductions in symptoms of depression before examining its efficacy with a clinical population.
21
Aka, Turkuler B. "Perceived Parenting Styles, Emotion Recognition, And Emotion Regulation In Relation To Psychological Well-being: Symptoms Of Depression, Obsessive-compulsive Disorder, And Social Anxiety." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613378/index.pdf.
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The purpose of the current study was to examine the path of perceived parenting styles, emotion recognition, emotion regulation, and psychological well-being in terms of depression, obsessive-compulsive disorder and social anxiety symptoms consequently. For the purpose of this study 530 adults (402 female, 128 male) between the ages of 18 and 36 (M = 22.09, SD = 2.78) participated in the current study. The data was collected by a questionnaire battery including a Demographic Category Sheet, Short-EMBU (Egna Minnen Betraffande Uppfostran- My Memories of Upbringing), &ldquoReading the Mind in the Eyes&rdquo
Test (Revised), Emotion Regulation Questionnaire, Emotion Regulation Processes, Beck Depression Inventory, Liebowitz Social Anxiety Scale, Maudsley Obsessive Compulsive Inventory, White Bear Suppression Inventory, Thought-Action Fusion Scale, and Emotional Approach Coping Scale. The psychometric properties of Emotion Regulation Questionnaire and Emotion Regulation Processes were investigated and found to have good validity and reliability characteristics. The three sets of hierarchical multiple regression analyses were conducted to reveal the significant associates of psychological well-being. As expected, the results of the current study revealed that perceived parenting styles, different emotion regulation strategies and processes had associated with psychological well-being in terms of depression, obsessivecompulsive disorder and social anxiety symptoms. The findings, and their implications with suggestions for future research and practice, were discussed in the light of relevant literature.
22
Niksic, Maja. "Public cancer awareness and cancer survival in England : recognition of cancer symptoms and perception of barriers to seeking medical help in relation to breast, lung and bowel cancer survival in England." Thesis, King's College London (University of London), 2016. https://kclpure.kcl.ac.uk/portal/en/theses/public-cancer-awareness-and-cancer-survival-in-england(d8715922-6635-4840-8c4f-66c26adbf0c2).html.
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Huston, Chloe Ann. "Validation of the Tri-Choice Naming and Response Bias Measure." Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu16194338067807.
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Wyatt, Peggy A. "Evaluating acute myocardial infarction symptom recognition in women." Thesis, 2001. http://hdl.handle.net/2429/11920.
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When acute myocardial infarction (AMI) occurs, prompt medical treatment is of critical
importance for the best outcome. Reducing the time between the onset of symptoms and
treatment seeking is considered important in reducing mortality among women with AMI.
A telephone survey using random digit dialing was conducted to assess the current
understanding of acute myocardial infarction of 349 women in the Greater Vancouver area.
This preliminary work is important for designing strategies designed to educate women and
reduce the help-seeking portion of treatment delay in women experiencing acute myocardial
infarction. Two response variables were examined: intention to delay and likelihood of
responding appropriately to myocardial infarction symptoms.
The results of this study revealed that women have not yet personalized information that they
are at risk for AMI. The participants indicated a need for more information pertaining to
symptom recognition for AMI; they were largely unaware that females experience AMI
somewhat differently than do males. The participants were less aware of the risks that diabetes,
obesity and menopause pose for AMI. The findings of this study illuminate the concern that
women have problems recognizing AMI symptoms and are not likely to respond appropriately.
Women who indicated that they would feel embarrassed if they made a "false alarm visit" to an
emergency room (ER) for suspicious symptoms were significantly less likely to indicate that
they would respond appropriately to AMI symptoms. Additionally, women who had visited ER
in the past were less likely to indicate that they would respond appropriately to AMI symptoms.
Furthermore, there is cause for concern that 36% of women intend to delay treatment seeking
for AMI. Variables significantly associated with intention to delay were embarrassment of a
false alarm, preference for self-care management, being an immigrant, and lower educational
attainment.
A multidimensional approach will be needed to address the information needs of women
pertaining to AMI recognition and treatment seeking. Not only should health promotion
campaigns deliver the information women need, but clinicians in direct contact with women,
particularly those women at risk for AMI, should be aware that treatment delay for women with
AMI is problematic. Health-care providers can help disseminate information to women
encouraging prompt and appropriate treatment seeking for AMI. Because women who had
visited ER were significantly less likely to respond appropriately to AMI symptoms, it is
important that strategies for improving ER experiences be considered.
Recommendations for further research include the consideration that the decision to seek
treatment for AMI symptoms is likely to be multidimensional. Psychological, emotional, and
social factors, in addition to cognitive understanding, are components of the complicated
process of deciding to seek treatment for AMI.
25
Yang, Chih-Wei, and 楊智幃. "An Intelligent Symptom Named Entity Recognition Method using Conditional Random Fields." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/78475948247009778093.
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碩士國立臺灣大學
資訊管理學研究所
105
With the advance of technology and the prevalence of Internet access, more and more users attempt to search medical advice on the Internet, and various healthcare websites thus thrive. Users usually seek assistance from those who own similar experiences on healthcare websites. However, there is a great deal of unreliable information without professional endorsement, as the result, users tend to be misled and their conditions may further deteriorate. Even if there are authoritative practitioners involved, they have problem dealing with heavy demand in daily medical advice. Recently, a number of researches explore the intelligent disease inference system, and simply divide it into two parts: medical named entity recognition and disease normalization. This research mainly focuses on symptom named entity recognition. We conduct the experiments using pre-annotated clinical reports released by International Workshop on Semantic Evaluation 2014 Task 7. For each word in the report, we extract features and categorize them into four groups including lexical/morphological, syntactic, semantic, and combinational features, and then utilize machine learning based approach – condition random fields (CRFs) to construct a model that identifies the span of symptom entities in clinical reports. The system performance is evaluated by precision, recall, and f-measure. Our method outperformed some participants in Workshop on Semantic Evaluation 2014 Task 7. Eventually, we analyze the feature influence and key to improve our system in the future.
26
Maldonado, Eliud Roberto. "Early symptom recognition among Latino parents of children with Autism spectrum disorders : an ethnographic study /." 2008. http://www.library.wisc.edu/databases/connect/dissertations.html.
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Mlaba, Nonkululeko Zamaximba. "Risk factors associated with HSV-2 sero-prevalence and, the level of symptom recognition among women in inner city Johannesburg - implications for public health interventions." Thesis, 2009. http://hdl.handle.net/10539/7445.
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M.P.H., Faculty of Health Sciences, University of the Witwatersrand, 2009Background: Herpes Simplex Virus type 2 (HSV-2) is a common cause of genital ulcers worldwide and has emerged as a co-factor in human immunodeficiency virus (HIV) acquisition and transmission. A study was conducted to determine the prevalence of HSV-2, its correlates, the accuracy of reported history of genital ulcer disease (GUD) to predict HSV-2 infection and the extent of symptom recognition in a clinic population in Johannesburg. Methods: 210 women aged 18 years or older were interviewed and socio-demographic, sexual behaviour and clinical information collected. Serological testing for HSV-2 and HIV infections was performed, but only where sera were available for the latter. Factors associations with HSV-2 infection were assessed using logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI). The sensitivity, specificity, predictive values and likelihood ratios of a history of GUD were calculated. Results: The estimated sero prevalence of HSV-2 was 73% (95% CI 67% - 79%). Few participants, 13/206 (6%) participants had knowledge of genital herpes. Only 9/203 (4%) participants recognised lesions of genital herpes following education and counselling about HSV-2 infection. HSV-2 infection was associated with older age(>25 years of age) OR 2.6 (95% CI 1.4-5.0), spending more than 2 nights away from home, OR 6.0 (95% CI 1.0-62.7), having more than 2 sexual lifetime partners, OR 2.2 (95% CI 1.1-3.9), a history of an STI in the past 3 months ,OR 3.6 (95% CI 1.2-9.5) and HIV infection, OR3.3( 95%CI 1.4-7.9). A history of genital ulceration performed poorly as a predictor of HSV-2 seropositivity; the sensitivity was 7% and specificity was 96%. Conclusion: HSV-2 prevalence was high and few participants were aware of their infection. HVS-2 infection was associated with risky sexual behaviour .A history of genital ulcer disease was not sufficient as a diagnostic tool for HSV-2 infection. Public health interventions should focus on behavioural modification and increasing awareness of genital herpes. HSV-2 management should be incorporated into HIV care and STI protocols.
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Sousa, Joana Sofia Dias Pereira de. "O autocuidado em pessoas com insuficiência cardíaca." Doctoral thesis, 2019. http://hdl.handle.net/10400.14/32147.
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A insuficiência cardíaca é uma patologia crónica, na qual a pessoa consegue gerir melhor a sua doença através da adoção de comportamentos de autocuidado. A aprendizagem destes comportamentos pode ser realizada através de um programa de gestão de doença. Tendo por base a Teoria dos Sistemas de Enfermagem de Dorothea Orem, o presente estudo utilizou o enfermeiro como Sistema de Suporte Educativo, por forma a facilitar a adoção de comportamentos de autocuidado em pessoas com insuficiência cardíaca. Com este trabalho pretendeu-se atingir os objetivos: 1) desenvolver uma intervenção complexa que desse resposta às dificuldades das pessoas com insuficiência cardíaca internadas em classe II e III NYHA ao nível do autocuidado terapêutico – na perceção e reconhecimento de sinais e sintomas, com avaliação do seu impacto na variação da Qualidade de Vida; e 2) realizar um estudo de custo-efetividade entre o tempo médio de internamento hospitalar e o custo de uma consulta estruturada de insuficiência cardíaca.
Com base no método das intervenções complexas, do Medical Research Council, foi elaborada uma intervenção complexa, que emergiu da revisão sistemática da literatura e de entrevistas semiestruturadas a pessoas internadas com insuficiência cardíaca, a cardiologistas e a enfermeiros peritos na gestão de doença crónica. A temática definida foi gestão de fluídos e monitorização de sinais e sintomas de insuficiência cardíaca. Para a implementação da intervenção foi desenhado um estudo piloto, com quatro momentos de avaliação (dia da alta hospitalar, uma semana após a alta, um mês após a alta e três meses após a alta), onde participaram 63 pessoas com insuficiência cardíaca, randomizadas em grupo de controlo, definido como cuidado usual (n=33) e em grupo de intervenção (n=30), num serviço de cardiologia de um hospital universitário.
Dos 63 participantes do estudo 74,6% eram do sexo masculino, com uma média de idades de 54,83 anos (±10,28). Após a implementação da intervenção complexa verificou-se uma melhoria nos comportamentos de autocuidado e da qualidade de vida nos participantes do grupo de intervenção face ao grupo de controlo. De acordo com os custos estimados, a implementação de um programa de gestão de doença permite uma poupança de 19 vezes o valor estimado para as pessoas que não participaram no programa de gestão de doença.
O presente estudo indica que a pessoa com insuficiência cardíaca, integrada num programa de gestão de doença, apresenta melhores comportamentos de autocuidado, melhor qualidade de vida, menos idas às urgências e menos internamentos hospitalares.Heart failure is a chronic condition, in which a person can better manage his or her health through the adoption of self-care behaviors. These behaviors can be learned and accomplished by a disease management program. Based on Dorothea Orem’s Theory of Nursing Systems, the present study used the nurse as part of the Educational Support System, in order to facilitate the adoption of self-care behaviors in persons with heart failure. The aim of this work was: 1) to develop a complex intervention which responded to the difficulties of the hospitalized persons with heart failure in NYHA class II and III, at the therapeutic self-care level – in perception and recognition of signs and symptoms, with evaluation of their impact on Quality of Life; and 2) to do a cost-effective study between the average hospital stay and the cost of a heart failure structured consultation. Based on the method of complex interventions, from the Medical Research Council, a complex intervention was developed, which emerged from a systematic literature review and from semi-structured interviews to hospitalized persons with heart failure, to cardiologists and to nurses who were experts in the management of chronic diseases. The topic addressed was fluid management and monitoring of signs and symptoms of heart failure. A pilot study was designed to implement the intervention, with four moments of evaluation (hospital discharge, one week after hospital discharge, one month after discharge and three months after discharge), where 63 persons with heart failure were enrolled and randomized into control group, defined as usual care (n=33) and into intervention group (n=30), in a cardiology ward of an university hospital. Of the 63 participants in the study, 74,6% were male, with a mean age of 54,83 years (±10,28). At the end of the implementation of the complex intervention there was an improvement in self-care behaviors and in quality of life at the intervention group comparing with the control group. According to the estimated costs, the implementation of a disease management program will allow a saving of 19 times the estimated value for people who do not participate at this program. The present study suggests that the person with heart failure, included in a disease management program, has better self-care behaviors, better quality of life, less emergency admissions and fewer hospitalizations.
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PENG, YU-CHE, and 彭昱哲. "Emotion Recognition in College Students with High-Risk ADHD Symptoms." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/qnvk8s.
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碩士東吳大學
心理學系
107
Attention Deficient/Hyperactivity Disorder (ADHD) is a common disorder in childhood. But there 79% of adolescents and adults still meet the diagnosis of ADHD. Besides the symptoms of hyperactivity/impulsiveness, many studies also found that they have difficulty in emotional recognition. But the subjects of ADHD emotional recognition were mainly children, and the emotional stimuli studied were mostly facial expressions, which is different from the dynamic situation experienced in daily life. In addition, the research on emotional recognition design has negative emotion stimulation more than positive emotion stimulation. Such design may make negative emotion recognition relatively difficult. Therefore, this study will adjust these research deficiencies through dynamic emotions. The film, with a balanced design of positive and negative emotions, explores whether the emotional recognition ability of high-risk ADHD college students is different from that of normal college students. The study sample consists of 52 college students, including 26 high-risk ADHD students (8 males) and 26 control individuals (5 males). Each college student finish the Adult ADHD Self-Report Scale (ASRS) and the online questionnaire to confirm the willingness to participate, and then take assessment by using the Conners Continuous Performance Test 3rd Edition (CPT-3) and the Emotion recognition test (TASIT and GERT-S), and finish the Achenbach System of Empirically Based Assessment – Adult self-report (ASEBA-ASR) in the end of experiment. The one-way multivariate analysis was used to analysis whether there was a significant difference in the recognition accuracy and the recognition response time, the correct rate of emotion recognition which was calculated by Unbiased Hit Rate (Hu), So that the score can be include the concept of sensitivity and specificity, and excluded the interference of the subject's selection bias is. The results showed that the correct rate of happiness, disgust and neutral emotions of the high-risk ADHD college students was worse than that of the normal college students. The response time of pride was only emotion that high-risk ADHD college students was longer than normal college students. According to the research results, it is suggested that in the future, the emotion recognition stimulants can use dynamic films to make the experiment more ecologically effective, and Hu is used as the correct rate calculation method to more accurately understand the emotional ability. In clinical application, high-risk ADHD students have potential obstacles in identifying emotions such as happiness, neutrality, disgust and pride. It is suggested that in addition to dealing with the core symptoms of ADHD, it can also enhance the ability of high-risk ADHD students to recognize four emotions, especially Identify the correct rate of negative emotions, thereby improving their potential interpersonal problems and possible somatic symptoms.
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Jhuo, Yuan-sheng, and 周元生. "An Online Recognition for Power Transformer Inrush Currents and Abnormal Symptoms." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/71571378611608071573.
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碩士國立聯合大學
電機工程學系碩士班
96
The power transformer is one of several expensive equipments in power systems . Once the power transformer is malfunctioning, it will cause an unbalanced power supply , which may further lead to the loss of power and utilities need to pay a huge repair expense . Unfortunately , the electric utilities have not yet found effective prevention methods for this kind of problems so far . With the fast development of electric power technology and the continuous efforts made by the power engineers, the possibility of solving the above problems has appeared . The main objective of this study is to investigate an online recognition system for power transformers . The study uses MATLAB software and its related programs as the simulation tool to analyze the power transformer inrush currents in the blink of energizing , which tend to cause the oscillation phenomena within the inside insulating materials, cores and coils , i.e. the inherent capacitance, resistance and inductance. In terms of this phenomenon , various key feature indices can be derived, moreover , by using neural networks the normal inrush currents and possible abnormal symptoms of the power transformer can be identified. The feasibility and effectiveness of the proposed method have been proved by detailed theoretical studies and comprehensive simulations carried out in this study . It is worth to note that with some modifications the proposed method can be further developed into a real-time diagnosis and protection system for the power transformers .
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CHIU, TIEN-DENG, and 邱登殿. "Semantic recognition based on artificial intelligent for assisting diagnosis of dermatological symptoms." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/vbh4u4.
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碩士國立高雄科技大學
電子工程系
107
Purpose: Semantic recognition based on artificial intelligent method to assist the diagnosis of dermatological symptoms. To verify word vector combined with the knowledge map of medical aided diagnosis is a simple and effective semantic recognition method. Materials and method: This study first establishes a knowledge map of dermatological symptoms and diseases. The description of the medical symptoms is a sentence with only one keyword, and assigned to the corresponding site of occurrence, and then establish the association and probability of this disease may occur. The second is to create a word embedding by using the open library Jieba Word Segmentation and removing some stop words, and the Word2vec utility provided by Thomas Mikolov to learn huge WiKi articles. After establishing the word vector of Chinese common words, to compare the similarity between the symptom sentences input by the user and the symptom description statements of the medical knowledge map. The most likely similar symptom description with its corresponding site of occurrence is used to improve the accuracy of the judgment, and to achieve the application of semantic recognition to assist the diagnosis of dermatology. Results: This study developed an application that establishes a database of associations between dermatological symptoms and diseases, and a similarity calculation for word vectors, providing users with the input of dermatological symptoms to show the percentage of related diseases. As well, it is aimed at the six diseases of dermatology to verify the training models of the word vector which is suitable in the semantic recognition of medical symptom sentences. The Skip-gram model has a maximum error of 0.228 and a minimum of 0.086. The maximum error of CBOW (Continuous Bag of Word) model is 0.617 and the minimum is 0.138, so the Skip-gram model is superior to the CBOW model in the semantic recognition of medical sentences. Conclusions: This study proposes a very effective and simple semantic recognition applied to assist in the diagnosis of dermatological symptoms. Also, this method can be easily extended to different medical departments and even various professional fields. As long as the knowledge map of the professional field and the trained word vector are established. The semantics of the sentence can be effectively recognized.
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Naidu, Rekha. "Childhood depression: recognition of behavioural symptoms and management guidelines for Primary Schools." Thesis, 2008. http://hdl.handle.net/10530/78.
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Submitted in Partial Fulfillment of the Requirements for the Degree of
PhD (Community Psychology)
Faculty of Arts
University of Zululand, 2008.Research indicates that the prevalence of childhood depression is increasing, the onset of depression is occurring earlier in life, and that depression coexists with other mental health problems such as anxiety and disruptive behaviour disorders. Teachers are more responsive to behavioural manifestations such as hyperactivity, disruptive behaviour and aggression. They are less responsive to interpersonal difficulties and less disruptive behaviours such as withdrawal and social isolation. While they can correctly recognize that internalizing symptoms such as withdrawal and sadness are indicators of depression, they are unable to correctly recognize that externalizing behaviours such as disruptiveness and aggression can also be indicators of depression. Since many of these symptoms of depression manifest in the school, it is imperative that teachers are able to correctly identify the symptoms of depression. The correct management of the child prevents the depression from worsening and leading to disastrous consequences. The purpose of this study was to establish whether teachers were fully knowledgeable about the behavioural symptoms of depression. A former purpose was to determine the management strategies used at school, and to develop a guideline document for teachers. Survey methodology and interview techniques were used to collect data for the study. These methods provided quantitative and qualitative data. The participants comprised 56 primary school teachers from three randomly selected schools. Two questionnaires were specially designed to gather data for the study. The results of the study revealed that teachers were not fully knowledgeable about the behavioural symptoms of depression and that they lacked the depth of knowledge required to recognize the significance of the diagnostic criteria of depression "which manifest as behavioural symptoms in school. The results showed mat more than 57 % of participants felt that parents and home factors were responsible for depression. Results also indicated that the majority of participants were not able to recognize the multiplicity of factors that could cause and result in depression. In the perceived absence of psychological support from the Department of Education, participants indicated a need for guidelines for identification and management of symptoms of depression. There was overwhelming support for the implementation of a self-esteem programme at schools. At the conclusion of the study, a document which outlined recognition and management of the behavioural symptoms of depression, was developed by the researcher. As a result of the findings of the study, recommendations were made to teachers, the schools' management team, as well as to the Department of Education. Recommendations made to teachers included training the child in social skills and cognitive strategies, and maintaining contact with parents. One important recommendation to the schools' management was the timely referral of depressed children to mental health professionals. Recommendations made to the Department of Education included the facilitation of the formation of multidisciplinary teams which would comprise teachers, management staff, parents and school psychologists. These multidisciplinary teams would manage the successful implementation of programmes that will foster healthy social and emotional development of all children.
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Chen, Yi-Wei, and 陳宜緯. "Diabetic Retinopathy Recognition with Fusion of Supervised Deep Learning Features and Segmented Symptoms." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/b67gzs.
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碩士國立交通大學
電子研究所
107
Diabetic retinopathy is the primary cause of blindness in the working-age population of the developed world. Diagnosing the disease heavily relies on imaging studies, which is a time consuming and a manual process performed by trained clinicians. Enhancing the accuracy and speed of the detection process can potentially have a significant impact on population health via early diagnosis and intervention. Besides the prevention, how to keep tracking the treatment effect for the patient with diabetic retinopathy is another crucial issue in personalized healthcare. Motivated by this, we propose a recognition framework, based on deep convolutional neural networks. Our recognition system predicts not only the severity levels of DR but also the location of symptoms at the pixel level. With the combination of DR severity levels and the segmented DR symptoms, our system can predict the severity levels of DR more accurately which could potentially provide another measurement to monitor the progression or regression of retinopathy with therapeutic intervention. For the classification of DR severity levels, the proposed lightweight network, DRNet-cla-v1 improves the classification performance in two aspects: (1) Without any fine-tuning, DRNet-cla-v1, combined with seven other boosting methods achieved 0.961 and 0.967 AUROC on the Messidor dataset for referable and non-referable screening, which outperforms state of the art (0.921 and 0.957). (2) Compared with CKML Net, VNXK, and Zoom-in-Net, DRNet-cla-v1 is more memory efficient with at least 5.23x fewer in total parameters and requires lower computation cost with at least 1.24x fewer in total FLOPs. For the segmentation of DR symptoms, the proposed network, DRNet-seg-v1, achieves 0.6894 average AUPRC on the IDRiD test dataset and outperforms the start of the art (0.6693). Finally, we use the linear SVM to fuse features extracted from the DRNet-cla-v1 and DRNet-seg-v1 and achieves the average accuracy 0.7281 on the IDRiD test dataset, which also outperforms the start of the art (0.6311).
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Su, Yi-min, and 蘇逸民. "Machine Learning Classification based on image recognition for study of face symptoms in patients with Down''s syndrome." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/7359vb.
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碩士國立中山大學
應用數學系研究所
103
In recent years, both facial recognition system and machine learning are developed rapidly. In these two areas, each has many commonly used methods. In this work, we use a two-stage approach on images for classification. First, we transform the facial image data into multi-dimensional data form, and then apply appropriate multivariate analysis and data mining methods on it. Methodologies such as Multilinear principal component analysis (MPCA), Regularized Discriminant Analysis (RDA), Random Forest are adopted. We aim at finding factors that are important in identifying different types of images. Although facial features are different for individuals, but most people with Down''s syndrome can be discriminated from the outlooks whether he or she has the disease or not. These variations sometimes can be seen from their facial features. For example, the features such as facial proportion, ear appearance, nose shape and eye contour and so on, can help to determine if a person has the disease or not. This thesis discusses how to use multivariate analysis and machine learning methods based on the facial image data to identify Down''s syndrome patients. According to some of the sample images from those with Down''s syndrome or not, we find the important areas on the facial image which are useful in discriminating Down''s syndrome patients. In the end, after restoring the important areas of the facial image, it is expected that the above methodology is helpful as one of the main criteria for the doctors to identify the Down’s syndrome symptoms with high accuracies.
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Hilmes-Wingerter, Constanze. "Geruchswahrnehmung und -interpretation schizophrener PatientInnen: Evaluation im Rahmen einer multizentrischen Querschnittserhebung." Doctoral thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E45B-8.
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