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Munda A, Kompan Erzar KL, Peric H, Pongrac Barlovič D. Gestational diabetes perception profiles based on attachment style: a cross-sectional study. Acta Diabetol 2024; 61:773-780. [PMID: 38478077 PMCID: PMC11101504 DOI: 10.1007/s00592-024-02251-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/30/2024] [Indexed: 05/18/2024]
Abstract
AIMS Gestational diabetes (GDM) is a prevalent complication in pregnancy that requires effective self-management, which can be influenced by illness perceptions. Moreover, behavioral regulation can be affected by attachment styles. Thus, our study aimed to identify common GDM perception profiles and test their association with attachment styles. METHODS In this cross-sectional study, 446 women completed the Relationship Questionnaire (RQ), the Brief Illness Perception Questionnaire (BIPQ), and additional items about GDM diagnosis, information, competence, adherence, behavioral change. Latent profile analysis (LPA) was conducted to determine GDM perception profiles. Multinomial logistic regression followed to calculate the association between GDM perception profiles and attachment styles. RESULTS Three distinct profiles emerged: coping (n = 172, 38.6%)-characterized by the most positive GDM perception, burdened (n = 222, 49.8%)-indicating the emotional burden of the disease, and resourceless (n = 52, 11.7%)-reporting lack of resources (i.e. information, competence). Women with insecure attachment styles were more likely to develop a burdened GDM perception profile. Specifically, the expression of a fearful (OR = 1.184 [95%CI: 1.03; 1.36], p = 0.016) and a preoccupied (OR = 1.154 [95%CI: 1.01; 1.32], p = 0.037) attachment style increased the likelihood for a burdened perception profile, while a secure attachment style (OR = 10.791 [95%CI: 0.65; 0.96], p = 0.017) decreased likelihood for developing resourceless GDM perception profile. CONCLUSIONS Three GDM perception profiles were identified and the role of attachment styles in shaping these perceptions was confirmed. Further studies are needed to investigate whether a tailored treatment approach based on the predominant attachment style could lead to more positive GDM perceptions, improved glycemic control, and better perinatal outcomes.
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Affiliation(s)
- Ana Munda
- Department of Endocrinology, Diabetes, and Metabolic Diseases, University Medical Centre Ljubljana, Zaloska Cesta 7, 1000, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Helena Peric
- Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia
| | - Draženka Pongrac Barlovič
- Department of Endocrinology, Diabetes, and Metabolic Diseases, University Medical Centre Ljubljana, Zaloska Cesta 7, 1000, Ljubljana, Slovenia.
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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Sheng Y, Bond R, Jaiswal R, Dinsmore J, Doyle J. Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial. J Med Internet Res 2024; 26:e46287. [PMID: 38546724 PMCID: PMC11009852 DOI: 10.2196/46287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 10/25/2023] [Accepted: 01/29/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Multiple chronic conditions (multimorbidity) are becoming more prevalent among aging populations. Digital health technologies have the potential to assist in the self-management of multimorbidity, improving the awareness and monitoring of health and well-being, supporting a better understanding of the disease, and encouraging behavior change. OBJECTIVE The aim of this study was to analyze how 60 older adults (mean age 74, SD 6.4; range 65-92 years) with multimorbidity engaged with digital symptom and well-being monitoring when using a digital health platform over a period of approximately 12 months. METHODS Principal component analysis and clustering analysis were used to group participants based on their levels of engagement, and the data analysis focused on characteristics (eg, age, sex, and chronic health conditions), engagement outcomes, and symptom outcomes of the different clusters that were discovered. RESULTS Three clusters were identified: the typical user group, the least engaged user group, and the highly engaged user group. Our findings show that age, sex, and the types of chronic health conditions do not influence engagement. The 3 primary factors influencing engagement were whether the same device was used to submit different health and well-being parameters, the number of manual operations required to take a reading, and the daily routine of the participants. The findings also indicate that higher levels of engagement may improve the participants' outcomes (eg, reduce symptom exacerbation and increase physical activity). CONCLUSIONS The findings indicate potential factors that influence older adult engagement with digital health technologies for home-based multimorbidity self-management. The least engaged user groups showed decreased health and well-being outcomes related to multimorbidity self-management. Addressing the factors highlighted in this study in the design and implementation of home-based digital health technologies may improve symptom management and physical activity outcomes for older adults self-managing multimorbidity.
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Affiliation(s)
- Yiyang Sheng
- NetwellCASALA, Dundalk Institution of Technology, Dundalk, Ireland
| | - Raymond Bond
- School of Computing, Ulster University, Jordanstown, United Kingdom
| | - Rajesh Jaiswal
- School of Enterprise Computing and Digital Transformation, Technological University Dublin, Dublin, Ireland
| | - John Dinsmore
- Trinity Centre for Practice and Healthcare Innovation, School of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland
| | - Julie Doyle
- NetwellCASALA, Dundalk Institution of Technology, Dundalk, Ireland
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Eshete A, Getye B, Aynaddis G, Tilaye B, Mekonnen E, Taye B, Zeleke D, Deresse T, Kifleyohans T, Assefa Y. Association between illness perception and medication adherence in patients with diabetes mellitus in North Shoa, Zone: cross-sectional study. Front Public Health 2023; 11:1214725. [PMID: 38174073 PMCID: PMC10762864 DOI: 10.3389/fpubh.2023.1214725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024] Open
Abstract
Background Although the impact of illness perception on medication adherence is well-established, its specific influence on medication adherence in Ethiopia remains unclear. Consequently, the objective of this study was to examine the association between illness perception and medication adherence among patients with diabetes mellitus in the North Shoa Zone. Methods An institution-based cross-sectional study was conducted from 24 May to 25 June 2022 in the North Shoa zone. The study included a random sample of 552 individuals with diabetes from four public hospitals. Data was collected and entered into Epi Data V.3.1, and analysis was performed using SPSS version 22. Descriptive statistics were used to summarize continuous variables as means with standard deviations, while categorical variables were presented as percentages. The study variables were analyzed using binary logistic regression models to assess the associations between illness perception and medication adherence. In the bivariable analysis, variables with p-values less than 0.20 were entered into a multivariable logistic regression model. Associations with a p-value ≤0.05 and an odds ratio with a 95% confidence interval were considered statistically significant. Results The study results revealed that medication adherence was 64.4% (95% CI: 60.1, 67.9), while illness perception was 54.7% (95% CI, 41.2, 49.4). There was a significant and strong association between illness perception and medication adherence (p < 0.0001). In the adjusted model, the illness perception components of consequence showed a significant association with medication adherence (AOR = 3.10, 95% CI: 2.11, 4.55). Similarly, personal control (AOR = 1.77, 95% CI: 1.20, 2.61) and emotional representation of diabetes (AOR = 2.26, 95% CI: 1.54, 3.32) were also significantly associated with medication adherence in patients with diabetes. Conclusion The findings of this study indicate a positive association between higher illness perception and increased medication adherence and practice. Therefore, when engaging in discussions about diabetic self-management, diabetes educators should employ psychoeducational approaches that take into account the illness perceptions of patients.
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Affiliation(s)
- Akine Eshete
- Department of Public Health, Debre Berhan University, Debre Berhan, Ethiopia
| | - Birhan Getye
- Department of Nursing, Mizan Tepi University, Mizan Teferi, Ethiopia
| | - Getachew Aynaddis
- Department of Nursing, Mizan Tepi University, Mizan Teferi, Ethiopia
| | - Bantalem Tilaye
- Department of Nursing, Mizan Tepi University, Mizan Teferi, Ethiopia
| | - Elda Mekonnen
- School of Nursing and Midwifery, Debre Berhan University, Debre Berhan, Ethiopia
| | - Bethlehem Taye
- School of Nursing and Midwifery, Debre Berhan University, Debre Berhan, Ethiopia
| | - Dereje Zeleke
- Department of Midwifery, Mizan Tepi University, Mizan Teferi, Ethiopia
| | - Tilahun Deresse
- School of Medicine, Debre Berhan University, Debre Berhan, Ethiopia
| | | | - Yibeltal Assefa
- School of Public Health, The University of Queensland, Herston, QLD, Australia
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Muellers KA, Harris YT, Wisnivesky JP, Lin JJ. Assessing the Effect of Cancer Diagnosis on Beliefs about Comorbid Diabetes. Semin Oncol Nurs 2023; 39:151436. [PMID: 37137768 PMCID: PMC10524088 DOI: 10.1016/j.soncn.2023.151436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 03/21/2023] [Accepted: 03/29/2023] [Indexed: 05/05/2023]
Abstract
OBJECTIVES Increasingly, patients diagnosed with cancer also live with chronic comorbidities, and it is important to understand the impact of a new cancer diagnosis on perceptions about preexisting conditions. This study assessed the effect of cancer diagnosis on beliefs about comorbid diabetes mellitus and assessed changes in beliefs about cancer and diabetes over time. DATA SOURCES We recruited 75 patients with type 2 diabetes who were newly diagnosed with early-stage breast, prostate, lung, or colorectal cancer and 104 age-, sex-, and hemoglobin A1c-matched controls. Participants completed the Brief Illness Perception Questionnaire four times over 12 months. The authors examined within-patient and between-group differences in cancer and diabetes beliefs at baseline and over time. RESULTS Overall, diabetes beliefs did not differ between cancer patients and controls at baseline. Cancer patients' beliefs about diabetes varied significantly over time; they reported less concern about cancer, less emotional effect, and greater cancer knowledge over time. Participants without cancer were significantly more likely to report that diabetes affected their life across all time points, though this effect did not persist after adjustment for sociodemographic variables. CONCLUSION While all patients' diabetes beliefs were similar at baseline and 12 months, cancer patients' beliefs about both illnesses fluctuated during the months following cancer diagnosis. IMPLICATIONS FOR NURSING PRACTICE Oncology nurses can play a key role in recognizing the effects of cancer diagnosis on beliefs about comorbid conditions and fluctuations in these beliefs during treatment. Assessing and communicating patient beliefs between oncology and other practitioners could produce more effective care plans based on patients' current outlook on their health.
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Affiliation(s)
- Kimberly A Muellers
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychology, Pace University, New York, New York.
| | - Yael T Harris
- Department of Endocrinology, Feinstein Institute for Medical Research, Great Neck, New York
| | - Juan P Wisnivesky
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Division of Pulmonary and Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jenny J Lin
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
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Velázquez-Jurado H, Flores-Torres A, Pérez-Peralta L, Salinas-Rivera E, Valle-Nava MD, Arcila-Martinez D, Hernández-Jiménez S. Cognitive behavioral treatment to improve psychological adjustment in people recently diagnosed with type 2 diabetes: Psychological treatment in type 2 diabetes. Health Psychol Behav Med 2023; 11:2179058. [PMID: 36846199 PMCID: PMC9946322 DOI: 10.1080/21642850.2023.2179058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a chronic disease that affects a person's general well-being. Current evidence sets an association between psychological well-being and controlled metabolic parameters. People newly diagnosed with T2DM show higher prevalence of depression and anxiety symptoms. Cognitive behavioral therapy (CBT) has effectively improved psychological adjustment, but most studies do not specifically address recently diagnosed people nor usually include long-term follow-up measures. Objective We sought to assess changes in psychological variables in people with newly diagnosed diabetes who received a cognitive-behavioral intervention, within a comprehensive care program. Method 1208 adults with T2DM (≤5 years) who attended a national health institute in Mexico received a cognitive-behavioral intervention aimed at improving quality of life and reducing emotional distress that often interferes with diabetes control, as well as evaluating cognitive and emotional resources and social support. Measures of quality of life, diabetes-related distress, anxiety and depression questionnaires were compared at pre-test, post-test and follow up using Friedman's ANOVAs. Multiple logistic regression models evaluated glycosylated hemoglobin (HbA1c) and triglycerides control at post-test and follow up. Results Questionnaire measures and metabolic variables significantly decreased symptomatology at post-test and these changes maintained at follow-up. Significant associations were found between quality-of-life scores and HbA1c and triglycerides levels in post-test and follow-up. Diabetes-related distress scores increased the odds of having adequate HbA1c control at post-test. Conclusion This study contributes to the evidence on the importance of considering psychological factors as part of comprehensive diabetes care to improve quality of life and emotional burden and facilitate the achievement of metabolic goals.
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Affiliation(s)
- Héctor Velázquez-Jurado
- Centre for the Comprehensive Care of the Patient with Diabetes, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico,Postgraduate Studies Division, National Autonomous University of Mexico (UNAM), Mexico City, Mexico, Héctor Velázquez-Jurado Centre for the Comprehensive Care of the Patient with Diabetes, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico; National Autonomous University of Mexico, Mexico City, Mexico; Av. Vasco de Quiroga #15, Col. Belisario Dominguez, Sección XVI, Alc. Tlalpan, C.P. 14080, Ciudad de Mexico
| | - Athena Flores-Torres
- Postgraduate Studies Division, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - Liliana Pérez-Peralta
- Centre for the Comprehensive Care of the Patient with Diabetes, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico
| | - Edgar Salinas-Rivera
- Department of Educational Psychology, National Pedagogic University (UPN), Mexico City, Mexico
| | - Marianne Daniela Valle-Nava
- Centre for the Comprehensive Care of the Patient with Diabetes, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico,Postgraduate Studies Division, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - Denise Arcila-Martinez
- Centre for the Comprehensive Care of the Patient with Diabetes, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico
| | - Sergio Hernández-Jiménez
- Centre for the Comprehensive Care of the Patient with Diabetes, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico
| | - for the CAIPaDi Study Group
- Centre for the Comprehensive Care of the Patient with Diabetes, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico
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Mach C, Bulanadi J, Gucciardi E, Segal P, De Melo M. Exploring the Needs of Adults Living With Type 1 or Type 2 Diabetes Distress Using the Problem Areas in Diabetes 5 Tool. Can J Diabetes 2023; 47:51-57.e1. [PMID: 36154985 DOI: 10.1016/j.jcjd.2022.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 07/12/2022] [Accepted: 07/28/2022] [Indexed: 01/31/2023]
Abstract
OBJECTIVES This study investigated the feasibility and acceptability of implementing a screening tool as a part of routine care and the subsequent screening experiences of patients and clinicians. Additionally, potential sources of diabetes distress (DD) were identified in this clinical population. METHODS Our investigation was a cross-sectional, mixed-methods, convenience sample of 203 patients living with type 1 or type 2 diabetes from 2 Canadian tertiary hospital-based clinics. The Problem Areas in Diabetes 5 (PAID5) scale was used to assess DD. Structured telephone interviews of patients with high DD scores and care provider focus group transcriptions were analyzed using a deductive thematic content analysis. RESULTS The prevalence of DD was 45%. Lack of medication coverage (p=0.02) and presence of neuropathy (p=0.04) were approximately 5- and 2-fold more likely to be predictors of high DD, respectively. Patient interviews identified DD screening as an opportunity to share and feel supported but demonstrated their fear of discussing mental health concerns. Patients found discussion about mental health helpful and often did not require a referral to a mental health specialist. Staff focus groups discussed screening as a feasible tool, but also acknowledged barriers and knowledge gaps that preclude DD screening integration in routine clinical practice. Specialized training for clinicians may help increase confidence and improve uptake of DD screening into routine clinical practice. CONCLUSIONS The prevalence of DD in outpatient care settings is high. Findings suggest that integrating the PAID5 screening tool into regular clinical practice is feasible by patients and care providers.
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Affiliation(s)
- Calvin Mach
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jeroselle Bulanadi
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Enza Gucciardi
- School of Nutrition, Ryerson University, Toronto, Ontario, Canada
| | - Phillip Segal
- Faculty of Medicine, Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Margaret De Melo
- Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
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Taylor EC, O'Neill M, Hughes LD, Moss-Morris R. Atrial fibrillation, quality of life and distress: a cluster analysis of cognitive and behavioural responses. Qual Life Res 2022; 31:1415-1425. [PMID: 34618326 PMCID: PMC9023425 DOI: 10.1007/s11136-021-03006-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE Few studies have examined specific cognitive and behavioural responses to symptoms, which may impact health-related outcomes, in conjunction with illness representations, as outlined by the Common-Sense-Model. Patients with atrial fibrillation (AF) report poor quality-of-life (QoL) and high distress. This cross-sectional study investigated patterns/clusters of cognitive and behavioural responses to illness, and illness perceptions, and relationships with QoL, depression and anxiety. METHODS AF patients (N = 198) recruited at cardiology clinics completed the AF-Revised Illness Perception Questionnaire, Atrial-Fibrillation-Effect-on-Quality-of-Life Questionnaire, Patient Health Questionnaire-8 and Generalized Anxiety Disorder Questionnaire. Cluster analysis used Ward's and K-means methods. Hierarchical regressions examined relationships between clusters with QoL, depression and anxiety. RESULTS Two clusters of cognitive and behavioural responses to symptoms were outlined; (1) 'high avoidance'; (2) 'low symptom-focussing'. Patients in Cluster 1 had lower QoL (M = 40.36, SD = 18.40), greater symptoms of depression (M = 7.20, SD = 5.71) and greater symptoms of anxiety (M = 5.70, SD = 5.90) compared to patients in Cluster 2 who had higher QoL (M = 59.03, SD = 20.12), fewer symptoms of depression (M = 3.53, SD = 3.56) and fewer symptoms of anxiety (M = 2.56, SD = 3.56). Two illness representation clusters were outlined; (1) 'high coherence and treatment control', (2) 'negative illness and emotional representations'. Patients in Cluster 2 had significantly lower QoL (M = 46.57, SD = 19.94), greater symptoms of depression (M = 6.12, SD = 5.31) and greater symptoms of anxiety (M = 4.70, SD = 5.27), compared with patients in Cluster 1 who had higher QoL (M = 61.52, SD = 21.38), fewer symptoms of depression (M = 2.85, SD = 2.97) and fewer symptoms of anxiety (M = 2.16, SD = 3.63). Overall, clusters of cognitive and behavioural responses to symptoms, and illness perceptions significantly explained between 14 and 29% of the variance in QoL, depression and anxiety. CONCLUSION Patterns of cognitive and behavioural responses to symptoms, and illness perceptions are important correlates of health-related outcomes in AF patients.
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Affiliation(s)
- Elaina C Taylor
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5th Floor Bermondsey Wing, Guy's Hospital, London Bridge, London, SE1 9RT, UK.
- University of Derby, Kedleston Road, Derby, DE22 1GB, UK.
| | - Mark O'Neill
- Divisions of Imaging Sciences & Biomedical Engineering & Cardiovascular Medicine, King's College London, 4th Floor North Wing, St Thomas' Hospital, London, UK
| | - Lyndsay D Hughes
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5th Floor Bermondsey Wing, Guy's Hospital, London Bridge, London, SE1 9RT, UK
| | - Rona Moss-Morris
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5th Floor Bermondsey Wing, Guy's Hospital, London Bridge, London, SE1 9RT, UK
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Różycka J. How I see is how I feel. Identification of illness perception schema and its association with adaptation outcomes in multiple sclerosis - a 5-year prospective study. PLoS One 2021; 16:e0258740. [PMID: 34710124 PMCID: PMC8553031 DOI: 10.1371/journal.pone.0258740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 10/04/2021] [Indexed: 11/18/2022] Open
Abstract
The aim of the study was to assess the role of illness perception in adaptation to chronic disease among patients with relapsing-remitting multiple sclerosis (RRMS). The differences between the obtained configurations of the illness perception components during four measurements and the model of predictions of the values of adaptation indicators, i.e. depression, anxiety and quality of life during subsequent measurements, were analyzed. Illness representation was assessed at baseline via the Illness Representation Questionnaire–Revised. The adaptation indicators–anxiety, depression (measured by HADS) and quality of life (measured by MSIS-29) were measured at baseline and three more times over a five-year period. The k-means cluster analysis (with two-way and repeated measures ANOVA) was conducted in a group of 90 patients (48.89% women and 51.11% men). Subsequently, the mean values of depression, anxiety, physical and psychological quality of life were compared between the clusters using the Kruskall-Wallis test. Finally, a cross-lagged panel modeled for HADS and MSIS-29 subscales in each measurement occasion (T1-T4). Three different illness perception clusters (Anxious, Realistic and Fatalistic Illness Perception named AIP, RIP and FIP) were composed which differentiated the depression, anxiety, quality of life level and age. FIP showed the lowest adaptation outcomes with small differences between AIP and RIP. It was also significantly characterized by the highest age. The positive adaptation indicators were related to the RIP cluster. The model presented rather satisfactory fit (χ2(48) = 81.05; CFI = .968; TLI = .925; SRMR = .050) with slightly inflated RMSEA = .087 (90%CI .053-.120). Based on initial measurements of individual characteristics, it was possible to predict the functioning of patients after several years. For patients with AIP, the covariance of anxiety and depression was significant, for patients with RIP–depression and anxiety, and for patients with FIP–depression. In addition, each of the variables was a predictor of subsequent measurements in particular time intervals, illustrating the dynamics of changes. Results highlight that illness perceptions formed at the beginning of RRMS are important for the process of adaptation to the disease. Moreover, they showed the differences between the adaptation outcomes supporting the idea that a cognitive representation might be important for the level of psychological functioning.
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Arrato NA, Valentine TR, Byrd JC, Jones JA, Maddocks KJ, Woyach JA, Andersen BL. Illness representations and psychological outcomes in chronic lymphocytic leukaemia. Br J Health Psychol 2021; 27:553-570. [PMID: 34608724 DOI: 10.1111/bjhp.12562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 09/09/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Chronic lymphocytic leukaemia (CLL) is a lifelong cancer with subtle symptoms. Treatment is not curative and often involves repeated relapses and retreatments. Illness perceptions - cognitive and emotional representations of illness stimuli - were studied in CLL patients to: 1) identify illness perception 'profiles' prior to treatment; and 2) test whether profile membership predicts psychological responses 12 months later as treatment continued. DESIGN CLL patients (N = 259), randomized to one of four cancer treatment trials testing targeted therapy, were assessed before starting treatment and at 12 months. METHODS The Brief Illness Perception Questionnaire (BIPQ) assessed perceived consequences, timeline, personal/treatment control, identity, comprehension, concern, and emotions toward CLL. Psychological outcomes were depressive symptoms (PHQ-9/BDI-II), negative mood (POMS), and cancer stress (IES-R). Latent profile analysis (LPA) determined number of profiles and differential BIPQ items for each profile. Multilevel models tested profiles as predictors of 12-month psychological outcomes. RESULTS LPA selected the three-profile model, with profiles revealing Low (n = 150; 57.9%), Moderate (n = 21; 8.1%), and High-impact (n = 88; 34.0%) illness representations. Profiles were defined by differences in consequences, identity, concern, and emotions. Profile membership predicted all psychological outcomes (ps<.038). Low-impact profile patients endorsed minimal psychological symptoms; High-impact profile patients reported substantial symptoms. CONCLUSIONS Results of the first CLL illness representation study provide directions for future clinical efforts. By identifying differences among patients' perceptions of CLL consequences, symptom burden, concerns, and emotional responses, an at-risk patient group might receive tailored psychological treatment. Treatments may address negative perceptions, to reduce psychological risk associated with chronic cancer.
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Affiliation(s)
- Nicole A Arrato
- Department of Psychology, The Ohio State University, Columbus, Ohio, USA
| | - Thomas R Valentine
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA
| | - John C Byrd
- Department of Internal Medicine, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Jeffrey A Jones
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Kami J Maddocks
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Jennifer A Woyach
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Barbara L Andersen
- Department of Psychology, The Ohio State University, Columbus, Ohio, USA
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Seng JJB, Monteiro AY, Kwan YH, Zainudin SB, Tan CS, Thumboo J, Low LL. Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review. BMC Med Res Methodol 2021; 21:49. [PMID: 33706717 PMCID: PMC7953703 DOI: 10.1186/s12874-021-01209-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 01/13/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients. METHODS The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed. RESULTS Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients' race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies. CONCLUSIONS Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.
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Affiliation(s)
- Jun Jie Benjamin Seng
- Duke-NUS Medical School, 8 College Road, Singapore, 169857 Singapore
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608 Singapore
| | | | - Yu Heng Kwan
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608 Singapore
- Program in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857 Singapore
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Sueziani Binte Zainudin
- Department of General Medicine (Endocrinology), Sengkang General Hospital, Singapore, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore
| | - Julian Thumboo
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608 Singapore
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
- SingHealth Regional Health System, Singapore Health Services, Singapore, Singapore
| | - Lian Leng Low
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608 Singapore
- SingHealth Regional Health System, Singapore Health Services, Singapore, Singapore
- Department of Family Medicine and Continuing Care, Singapore General Hospital, Outram Road, Singapore, 169608 Singapore
- SingHealth Duke-NUS Family Medicine Academic Clinical Program, Singapore, Singapore
- Outram Community Hospital, SingHealth Community Hospitals, 10 Hospital Boulevard, Singapore, 168582 Singapore
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11
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Berry E, Davies M, Dempster M. Exploring the perceptions of emotional distress among couples living with Type 2 diabetes and among diabetes healthcare providers, and consideration of support needs. Diabet Med 2020; 37:1669-1678. [PMID: 31206755 DOI: 10.1111/dme.14052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/14/2019] [Indexed: 11/29/2022]
Abstract
AIMS To compare the emotional distress experienced by people with Type 2 diabetes with the perceptions of their partners, and to explore the perceptions of healthcare providers and how these differ from the perceptions and experiences of couples living with Type 2 diabetes regarding their support needs. METHODS A purposive sample of people with Type 2 diabetes and their partners was recruited through Diabetes UK media outlets and support groups, while healthcare providers were recruited through hospital and diabetes education teams. Inductive thematic analysis was conducted. RESULTS Seven people with Type 2 diabetes and six partners took part in separate semi-structured interviews and seven healthcare providers took part in focus groups. Themes emerged regarding unique psychological struggles for people with Type 2 diabetes: 'sense of restriction'; 'disempowerment'; and 'acceptance of diabetes'. For partners the themes of 'feeling responsible' and 'need for greater involvement' emerged. Common themes arising from people with Type 2 diabetes, partners and healthcare providers highlighted diabetes-related stresses: 'self-care struggles' and 'perceived need for appropriate psychological support'. A key theme drawn from healthcare providers was 'perceived professional barriers to psychological support', which captures concerns related to providing emotional support in clinical practice. CONCLUSIONS People with Type 2 diabetes, partners, and healthcare providers share a common understanding of the emotional stresses of living with Type 2 diabetes, but also experience diabetes differently depending on their role and responsibilities. All face barriers that need to be considered to ensure that emotional support in diabetes is meaningful and feasible in routine practice.
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Affiliation(s)
- E Berry
- School of Psychology, Queen's University Belfast, Belfast, UK
| | - M Davies
- Clinical Psychology Department, Belfast Health and Social Care Trust, Belfast, UK
| | - M Dempster
- School of Psychology, Queen's University Belfast, Belfast, UK
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12
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Gonzalez Heredia T, González-Ramírez LP, Hernández-Corona DM, Maciel-Hernández EA. Anxious depression in patients with Type 2 Diabetes Mellitus and its relationship with medication adherence and glycemic control. Glob Public Health 2020; 16:460-468. [PMID: 32841093 DOI: 10.1080/17441692.2020.1810735] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
A relationship between anxious depression has been proposed in patients with diabetes, which may contribute to the lack of medication adherence. The aim of this study was to investigate if there is a relationship between depression and / or anxiety with medication adherence and glycemic control in patients with type 2 Diabetes Mellitus (DM2). An analytical, cross-sectional study was carried out in the internal medicine outpatient clinic of a Hospital in Mexico. Patients with DM2 participated over a period from November 2015 to January 2016. The Morisky scale for medication adherence, and the Goldberg anxiety and depression scale were conducted for each patient. Data was collected from a total of 179 patients. There was a significant difference between anxious depression and medication adherence (p < 0.001) using logistic regression with an R2 of 0.136. There was also a significant difference between anxiety and glycemic control (p < 0.001) with an R2 of 0.175, however no significant difference was found between glycemic control and anxious depression. Our findings demonstrate that patients who suffer from anxious depression also tend to have reduced medication adherence, and anxiety was associated with poor glycemic control in patients with DM2 within the Mexican population.
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Affiliation(s)
- Tonatiuh Gonzalez Heredia
- Department of Biomedical Science, Health Sciences Division, Tonala University Campus, University of Guadalajara, Guadalajara, Mexico
| | | | - Diana Mercedes Hernández-Corona
- Department of Biomedical Science, Health Sciences Division, Tonala University Campus, University of Guadalajara, Guadalajara, Mexico
| | - Eugenio Alejandro Maciel-Hernández
- Physician specializing in Internal Medicine, Clinical Coordination of Medicine, Mexican Institute of Social Security, Guadalajara, México
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13
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Rivera E, Corte C, DeVon HA, Collins EG, Steffen A. A systematic review of illness representation clusters in chronic conditions. Res Nurs Health 2020; 43:241-254. [PMID: 32067248 DOI: 10.1002/nur.22013] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 01/24/2020] [Indexed: 12/30/2022]
Abstract
A person's beliefs about their chronic condition (illness representations) influence health and treatment outcomes. Recently, researchers have used clustering approaches to identify subgroups with different patterns of beliefs about their illness, with some subgroups having more favorable health outcomes than others. To date, these findings have not been synthesized. The purpose of this systematic review of the literature was to synthesize results of studies that used clustering approaches to analyze illness representation in chronic disease populations, in order to characterize the clusters and their relationship to health outcomes. Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines we searched CINAHL, PsycInfo, and PubMed. To be included, studies had to be (a) peer reviewed, (b) in English, (c) performing a cluster analysis (CA), latent class analysis (LCA), or latent profile analysis (LPA), (d) using only illness representation (IR) subscales to form clusters, (e) measuring illness representation with the Illness Perception Questionnaire (IPQ-R), (f) in a chronic condition sample, and (g) measuring health-related outcomes. Twelve studies were included. Across studies, the number of clusters found ranged from two to three. In all studies, an association was found between illness representation group and at least one of their health outcomes. Illness representation clusters associated with favorable outcomes usually included lower disease-related consequences, fewer symptoms, less negative emotion, and a more stable disease pattern. The results of this review indicate that the relationship between the patterns of the illness representation profiles and health outcomes transcend diseases. Additionally, some dimensions of illness representation may be more important drivers of group membership than others.
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Affiliation(s)
- Eleanor Rivera
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Colleen Corte
- College of Nursing, University of Illinois at Chicago, Chicago, Illinois
| | - Holli A DeVon
- School of Nursing, University of California, Los Angeles, Los Angeles, California
| | - Eileen G Collins
- College of Nursing, University of Illinois at Chicago, Chicago, Illinois
| | - Alana Steffen
- College of Nursing, University of Illinois at Chicago, Chicago, Illinois
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14
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Li J, Qiu X, Yang X, Zhou J, Zhu X, Zhao E, Qiao Z, Yang Y, Cao D. Relationship between Illness Perception and Depressive Symptoms among Type 2 Diabetes Mellitus Patients in China: A Mediating Role of Coping Style. J Diabetes Res 2020; 2020:3142495. [PMID: 33123596 PMCID: PMC7585654 DOI: 10.1155/2020/3142495] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 08/05/2020] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE The aims of the present study were to investigate the prevalence of depressive symptoms among type 2 diabetes mellitus (T2DM) patients in China and to explore how coping style influences the relationship between illness perception and depressive symptoms. METHODS Nine hundred and thirty-nine T2DM patients were recruited from a grade 3 Class A hospital in Harbin, China, and asked to complete a demographic questionnaire as well as the Self-rating Depression Scale (SDS), Brief Illness Perception Questionnaire-Revised (IPQ-R), and Medical Coping Modes Questionnaire (MCMQ). Hierarchical linear regression analysis and the bootstrap method were preformed to examine if coping style influenced the relationship between illness perception and depression. RESULTS The majority of patients (73.59%) exhibited depressive symptoms, including 37.27% with moderate and 6.71% with severe depressive symptoms. Depressive symptoms were more frequent in patients with complications (P < 0.05). A resignation coping style partially mediated the influence of illness perception on depressive symptoms. CONCLUSIONS Interventions to improve coping style may reduce the prevalence or severity of depressive symptoms among T2DM patients, potentially enhancing treatment adherence and clinical outcome.
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Affiliation(s)
- Jiarui Li
- Department of Medical Psychology, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
| | - Xiaohui Qiu
- Department of Medical Psychology, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
| | - Xiuxian Yang
- Department of Medical Psychology, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
| | - Jiawei Zhou
- Department of Medical Psychology, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
| | - Xiongzhao Zhu
- Medical Psychological Institute of the Second Xiangya Hospital of Central South University, Hunan Province, China
| | - Erying Zhao
- Department of Medical Psychology, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
| | - Zhengxue Qiao
- Department of Medical Psychology, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
| | - Yanjie Yang
- Department of Medical Psychology, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
| | - Depin Cao
- Department of Medical Education Management, Public Health Institute of Harbin Medical University, Heilongjiang Province, China
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15
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Chew BH, Vos RC, Stellato RK, Ismail M, Rutten GEHM. The effectiveness of an emotion-focused educational programme in reducing diabetes distress in adults with Type 2 diabetes mellitus (VEMOFIT): a cluster randomized controlled trial. Diabet Med 2018; 35:750-759. [PMID: 29505098 DOI: 10.1111/dme.13615] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/28/2018] [Indexed: 02/05/2023]
Abstract
AIMS To evaluate the effectiveness of a brief, value-based emotion-focused educational programme (VEMOFIT) in Malay adults with Type 2 diabetes mellitus compared with a programme of active listening to participants' emotional experiences, social support and their opinion on the health clinic diabetes care services (attention control). METHODS Malay adults with severe diabetes distress [Diabetes Distress Scale (DDS-17) mean score ≥ 3] were included. VEMOFIT consisted of four biweekly group sessions, a booster session after 3 months and a follow-up 6 months post intervention. The attention control programme consisted of three sessions over the same period. Outcomes included diabetes distress, depressive symptoms, self-efficacy and disease control. Required total sample size was 165. RESULTS Participants (n = 124) were randomized to either VEMOFIT (n = 53) or the attention control programme (n = 71). Participants had a mean (sd) age of 55.7 (9.7) years, median diabetes duration of 7.0 (8.0) years and mean HbA1c level of 82 mmol/mol (9.7%). The mean DDS-17 level decreased significantly in both the VEMOFIT and the attention control programmes (3.4 to 2.9 vs. 3.1 to 2.7, respectively). The adjusted between-group DDS-17 difference was not significant [-0.01, 95% confidence interval (CI) -0.38, 0.35]. The proportion of individuals with severe diabetes distress decreased in both groups, from 89% to 47% vs. 69% to 39% (odds ratio 0.88; 95% CI 0.26, 2.90). Other outcomes did not differ between groups. CONCLUSIONS Both interventions decreased diabetes distress significantly. The theory-based VEMOFIT programme was not superior to the attention control programme. The latter approach is a simpler way to decrease severe diabetes distress (Trial registration: NCT02730078; NMRR-15-1144-24803).
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Affiliation(s)
- B H Chew
- Department of Family Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
- University of Utrecht, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R C Vos
- University of Utrecht, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R K Stellato
- University of Utrecht, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Ismail
- Health Clinic, Seremban 2, Seremban, Negeri Sembilan, Malaysia
| | - G E H M Rutten
- University of Utrecht, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
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