ABSTRACT
La aparición de una enfermedad crónica, como la diabetes mellitus (DM), pone a prueba la respuesta del universo físico y psíquico de un individuo. Como objetivo general, se propone evaluar el estado emocional de las personas con DM en la consulta ambulatoria. Como objetivo particular, detectar y monitorear las necesidades psicológicas que deben formar parte integral del cuidado de la DM mediante el uso de métodos validados. El cuestionario WHO-5 se incluye como índice de bienestar general, el PAID-5 revela la existencia de una posible angustia emocional vinculada a la enfermedad, y el PHQ- 9 como índice de depresión. Ante esta situación, el Comité de Aspectos Psicosociales recomienda explorar estos aspectos para optimizar el control y el tratamiento de la enfermedad, proponiendo estas herramientas para que el equipo de salud las emplee en la detección y el reconocimiento del estado emocional de las personas con DM
Occurrence of a chronic disease, such as diabetes, prove the response of the physical and psychic universe of individuals. As a general objective, is proposed to evaluate emotional state of people with diabetes in the outpatient clinic. As principal objective, detection and monitoring the psychological needs should be a main part of diabetes care, using validated tools to evaluate this aspect. WHO-5 questionnaire is included as an index of general well-being, PAID-5, reveals the existence of a possible emotional distress linked to disease, and PHQ-9 is used as an index of depression. At this situation, the Committee on Psycho-Social Aspects recommends explore these psychological aspects, as a way to optimize the control and treatment of disease, and propose the cited tools, to be used by the health team, in detection and recognition of emotional state in people with diabetes.
Subject(s)
Diabetes Mellitus , Psychology , Depression , Psychological DistressABSTRACT
Resumen La aparición de una enfermedad crónica, como la diabetes mellitus (DM), pone a prueba la respuesta del universo físico y psíquico de un individuo. Como objetivo general, se propone evaluar el estado emocional de las personas con DM en la consulta ambulatoria. Como objetivo particular, detectar y monitorear las necesidades psicológicas que deben formar parte integral del cuidado de la DM mediante el uso de métodos validados. El cuestionario WHO-5 se incluye como índice de bienestar general, el PAID-5 revela la existencia de una posible angustia emocional vinculada a la enfermedad, y el PHQ-9 como índice de depresión. Ante esta situación, el Comité de Aspectos Psicosociales recomienda explorar estos aspectos para optimizar el control y el tratamiento de la enfermedad, proponiendo estas herramientas para que el equipo de salud las emplee en la detección y el reconocimiento del estado emocional de las personas con DM.
Abstract Occurrence of a chronic disease, such as diabetes, prove the response of the physical and psychic universe of individuals. As a general objective, is proposed to evaluate emotional state of people with diabetes in the outpatient clinic. As principal objective, detection and monitoring the psychological needs should be a main part of diabetes care, using validated tools to evaluate this aspect. WHO-5 questionnaire is included as an index of general well-being, PAID-5, reveals the existence of a possible emotional distress linked to disease, and PHQ-9 is used as an index of depression.
ABSTRACT
@#<p style="text-align: justify;"><strong>Objective:</strong> The sources of diabetes distress, defined as hidden negative emotions from the demands of daily self-management, are unknown to Filipinos with type 2 diabetes mellitus in the outpatient department. Therefore, we aimed to 1) explore the sources of distress in the perspective of Filipinos with type 2 diabetes mellitus and 2) create a conceptual framework of diabetes distress for Filipinos with T2DM.</p><p style="text-align: justify;"><strong>Methods:</strong> Focus group discussions were done and audiotaped among Filipinos with type 2 diabetes (n=17). The transcript underwent content analysis to generate themes and subthemes. Relationships were determined between codes, categories, and themes elicited in the study to create a conceptual framework unique to Filipinos.</p><p style="text-align: justify;"><strong>Results:</strong> The content analysis revealed five themes of diabetes distress: caregiver factor, socio-economic factor, psycho-emotional factor, medication-related factor, and health care service delivery factor. The socio-economic factor was a distinct theme missing in the prevailing validated questionnaires. Therefore, an adapted conceptual framework was created, as approved by the expert panel.</p><p style="text-align: justify;"><strong>Conclusion:</strong> In conclusion, Filipinos with type 2 diabetes mellitus in the outpatient department have multiple sources of diabetes distress, namely, caregiver factor, socio-economic factor, psycho-emotional factor, medication-related factor, and health care service delivery factor. The socio-economic factor is a unique theme identified among Filipinos. Recognizing the sources of diabetes distress is vital to accurately screen Filipinos with type 2 diabetes mellitus and optimize management outcomes. The study findings will help develop and validate the questionnaire to screen diabetes distress unique to Filipinos.</p>
Subject(s)
Outpatients , Diabetes Mellitus, Type 2ABSTRACT
Objective To investigate the correlation between diabetes distress and social support of elderly patients with diabetes mellitus. Methods Three instruments,including the general information questionnaire,the diabetes distress scale (DDS)and the social support rating scale (SSRS)were used to investigate the correlation between diabetes distress and social support of 95 elderly patients with diabetes mellitus from the endocrinology department of two tertiary level first-class comprehensive hospitals from at Novenber 2017.Results The total scores of diabetes distress are (32.7±11.5),at the level of mild distress.The proportion of moderate/severe level is 31.6%(30/95).The diamensions of "routine life distress" and "emotional distress" are most prominent;Social support overall and all diamension scores are lower than the model (all P<0.05);There is a significantly negative correlation between social support and diabetes distress overall,physical distress,routine life distress and interpersonal distress (all P<0.05). Conclusions The elderly patients with diabetes mellitus have different levels of diabetes distress and low level of social support.There is a negative correlation between diabetes distress and social support.We should strengthen the evaluation of diabetes distress and social support of the elderly patients with diabetes mellitus in clinical work,and take individualized interventions to improve the level of social support,in order to decrease diabetes distress and improve the quality of life.
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From the aspect of social and demographic factors, disease-related factors, social support, coping style and other factors outlined in diabetic patients with diabetes distress, and diabetes theoretical development and current situation of diabetes distress interventions were reviewed, in order to implement targeted interventions for diabetes patients.
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Objective To observe the sleeping time and analyze its impact on the psychological state and quality of life of patients with type 2 diabetes .Methods Convenience sampling was used to recruit 365 patients with type 2 diabetes in Jiangsu Province Hospital on Integration of Chinese and Western Medicine Affiliated to Nanjing University of Chinese Medicine between April 2014 and April 2015 .All the patients were divided into two groups according to the six-hour cut-off point of sleeping time .They were investigated by means of World Health Organization Quality of Life-BREF ( WHOQOL-BREF), Diabetes Distress Scale ( DDS) and General Self-Efficacy Scale ( GSES).Data were analyzed by t-test, chi-square test, Mann-Whitney U test and multivariate regression analysis .Results The average sleeping time was 7.03 h, and the sleeping time of 109 patients was less than 6 h.Patients with less sleeping time had lower quality of life and self-efficacy scores as well as higher diabetes distress scores than those with sleeping time more than 6 h.The differences were statistically significant (P<0.05).Regression analysis showed that sleeping time was the factor of quality of life (β=0.117, P=0.047), self-efficacy (β=0.136, P=0.024) and diabetes distress(β=-0.118, P=0.046).Conclusion Sleeping time affects the psychological state and quality of life of patients with type 2 diabetes.The medical should pay more attention to the quality of sleep of such patients .
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Introduction: Diabetes-related distress (DRD) refers to patient’s concerns about diabetes mellitus, its management, need of support, emotional burden and access to healthcare. The aim of this study was to translate and examine the psychometric properties of the Malay version of the 17-item Diabetes Distress Scale (MDDS-17) in adult patients with type 2 diabetes mellitus (T2D). Methods: A standard procedure was used to translate the English 17-items Diabetes Distress Scale into Malay language. We used exploratory factor analysis (EFA) with principal axis factoring and promax rotation to investigate the factor structure. We explored reliability by internal consistency and 1-month test-retest reliability. Construct validity was examined using the World Health Organization quality of life-brief questionnaire, Morisky Medication Adherence Scale, Patient Health Questionnaire and disease-related clinical variables. Results: A total of 262 patients were included in the analysis with a response rate of 96.7%. A total of 66 patients completed the test–retest after 1 month. EFA supported a three-factor model resulting from the combination of the regimen distress (RD) and interpersonal distress (IPD) subscales; and with a swapping of an item between emotional burden (EB; item 7) and RD (item 3) subscales. Cronbach’s α for MDDS-17 was 0.94, the combined RD and IPD subscale was 0.925, the EB subscale was 0.855 and the physician-related distress was 0.823. The test– retest reliability’s correlation coefficient was r = 0.29 (n = 66; p = 0.009). There was a significant association between the mean MDDS-17 item score categories (<3 vs ≥3) and HbA1c categories (<7.0% vs ≥7.0%), and medication adherence (medium and high vs ≥low). The instrument discriminated between those having diabetes-related complication, low quality of life, poor medication adherence and depression. Conclusion: The MDDS-17 has satisfactory psychometric properties. It can be used to map diabetes-related emotional distress for diagnostic or clinical use.
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Objective To investigate the status of diabetes distress in patients with middle-andhigh risk of diabetic foot and explore the impact of self-perceived burden and social support on diabetes distress.Methods Totally 205 patients with middle-and-high risk of diabetic foot were investigated with Diabetes Distress Scale,Self-perceived Burden Scale and Social Support Scale.Results The total average score of diabetes distress was (2.59±0.57),the diabetes distress level was correlated with self-perceived burden,dimensions of social support (r=0.481～0.653) and were influenced by gender,vocation,objective support,use of support.Conclusions Diabetes distress is widespread in patients with middleand-high risk of diabetic foot and was influenced by many factors,these provide the basis for taking effective interventions to reduce diabetes distress.
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Background: Diabetes distress is a condition distinct from depression that is related to diabetes outcomes. This study intends to identify the predicting risk factors of diabetes distress in Bangladeshi type 2 diabetes mellitus patients. Methods: A cross sectional study was conducted from January to June, 2012 in Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders (BIRDEM), Dhaka. Data were collected through interview and reviewing documents. Results: Among 165 respondents, the proportion of diabetes distress was 48.5% (n=80) which include 22.4% (n=37) high distress and 26.1% (n=43) moderate distress. Glycemic status measured by HbA1c was the best predictor of diabetes distress [Adjusted odds ratio (AOR) 1.56; 95% Confidence Interval (CI) 1.16 to 2.10]. Insulin users were five times more likely to develop distress [Adjusted odds ratio (AOR) 5.05; 95% Confidence Interval (CI) 1.20 to 21.19] than users of oral anti-diabetic agents. Other predictors of diabetes distress were duration of DM [Adjusted odds ratio (AOR) 1.27; 95% Confidence Interval (CI) 1.06 to 1.52], Diabetic complications [Adjusted odds ratio (AOR) 3.92; 95% Confidence Interval (CI) 1.09 to 14.19], Average monthly family income [Adjusted odds ratio (AOR) 1.00; 95% Confidence Interval (CI) 1.00 to 1.00]. Conclusion: HbA1c, treatment modalities, duration of DM, diabetic complications and average monthly family income appeared to be significant predicting factors of diabetes distress among the type 2 diabetes mellitus patients. This should be taken into consideration for effective management of patient.