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Jiang Y, Liu X, Gao H, Yan J, Cao Y. A new nomogram model for the individualized prediction of mild cognitive impairment in elderly patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2024; 15:1307837. [PMID: 38654929 PMCID: PMC11035739 DOI: 10.3389/fendo.2024.1307837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Background A high risk of developing mild cognitive impairment (MCI) is faced by elderly patients with type 2 diabetes mellitus (T2DM). In this study, independent risk factors for MCI in elderly patients with T2DM were investigated, and an individualized nomogram model was developed. Methods In this study, clinical data of elderly patients with T2DM admitted to the endocrine ward of the hospital from November 2021 to March 2023 were collected to evaluate cognitive function using the Montreal Cognitive Assessment scale. To screen the independent risk factors for MCI in elderly patients with T2DM, a logistic multifactorial regression model was employed. In addition, a nomogram to detect MCI was developed based on the findings of logistic multifactorial regression analysis. Furthermore, the accuracy of the prediction model was evaluated using calibration and receiver operating characteristic curves. Finally, decision curve analysis was used to evaluate the clinical utility of the nomogram. Results In this study, 306 patients were included. Among them, 186 patients were identified as having MCI. The results of multivariate logistic regression analysis demonstrated that educational level, duration of diabetes, depression, glycated hemoglobin, walking speed, and sedentary duration were independently correlated with MCI, and correlation analyses showed which influencing factors were significantly correlated with cognitive function (p <0.05). The nomogram based on these factors had an area under the curve of 0.893 (95%CI:0.856-0.930)(p <0.05), and the sensitivity and specificity were 0.785 and 0.850, respectively. An adequate fit of the nomogram in the predictive value was demonstrated by the calibration plot. Conclusions The nomogram developed in this study exhibits high accuracy in predicting the occurrence of cognitive dysfunction in elderly patients with T2DM, thereby offering a clinical basis for detecting MCI in patients with T2DM.
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Affiliation(s)
- Yuanyuan Jiang
- Department of Nursing, Qilu Hospital, Shandong University, Jinan, China
- Center for Nursing Theory and Practice Innovation Research, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Xueyan Liu
- School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China
| | - Huiying Gao
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Jingzheng Yan
- Department of Nursing, Qilu Hospital, Shandong University, Jinan, China
- Center for Nursing Theory and Practice Innovation Research, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yingjuan Cao
- Department of Nursing, Qilu Hospital, Shandong University, Jinan, China
- Center for Nursing Theory and Practice Innovation Research, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China
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Morgan E, Dyar C, Rose K. Dissecting sexual minority subgroup differences in the association between depression, anxiety, and cognitive difficulties. PLoS One 2024; 19:e0295821. [PMID: 38170685 PMCID: PMC10763951 DOI: 10.1371/journal.pone.0295821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
INTRODUCTION A growing body of research has demonstrated extensive mental health disparities affecting sexual minority populations, yet little research has assessed how these disparities may affect cognitive functioning among subgroups of sexual minorities. METHODS Data come from the 2021 National Health Information Survey (NHIS). Survey-weighted linear regression analyses were used to assess self-reported measures of cognition, stratified by subgroups sexual identity. In particular, we focused on the association between symptoms of depression or anxiety and each of the measures of cognition, adjusting for demographic covariates. RESULTS Among 31,994 NHIS participants in the 2021 survey, 5,658 (17.7%) reported at least some difficulty in remembering or concentrating. Basic demographic differences existed when assessing any cognitive difficulty, particularly for bisexual participants (aOR = 2.73; 95% CI: 2.07, 3.60) and participants identifying as a different identity (aOR = 4.22; 95% CI: 2.72, 6.56). Depression was significantly associated with cognitive difficulty with the largest relationship observed among gay/lesbian participants (aOR = 1.39; 95% CI: 1.29, 1.49). The association between anxiety and cognitive difficulty was smallest among bisexuals (aOR = 1.13; 95% CI: 1.08, 1.18) and relatively consistent across other subgroups: heterosexuals (aOR = 1.23; 95% CI: 1.22, 1.24), gay/lesbians (aOR = 1.27; 95% CI: 1.19, 1.36), and those with a different identity (aOR = 1.22; 95% CI: 1.10, 1.35). CONCLUSION There is a clear set of health disparities between sexual minority subgroups and heterosexuals across all cognitive difficulties. Future research should focus on developing a better understanding of differences in cognition based on sexual minority status while also working to ascertain how disparities vary among sexual minorities.
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Affiliation(s)
- Ethan Morgan
- College of Nursing, The Ohio State University, Columbus, OH, United States of America
- College of Public Health, The Ohio State University, Columbus, OH, United States of America
| | - Christina Dyar
- College of Nursing, The Ohio State University, Columbus, OH, United States of America
| | - Karen Rose
- College of Nursing, The Ohio State University, Columbus, OH, United States of America
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Possidente C, Fanelli G, Serretti A, Fabbri C. Clinical insights into the cross-link between mood disorders and type 2 diabetes: A review of longitudinal studies and Mendelian randomisation analyses. Neurosci Biobehav Rev 2023; 152:105298. [PMID: 37391112 DOI: 10.1016/j.neubiorev.2023.105298] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/15/2023] [Accepted: 06/26/2023] [Indexed: 07/02/2023]
Abstract
Mood disorders and type 2 diabetes mellitus (T2DM) are prevalent conditions that often co-occur. We reviewed the available evidence from longitudinal and Mendelian randomisation (MR) studies on the relationship between major depressive disorder (MDD), bipolar disorder and T2DM. The clinical implications of this comorbidity on the course of either condition and the impact of antidepressants, mood stabilisers, and antidiabetic drugs were examined. Consistent evidence indicates a bidirectional association between mood disorders and T2DM. T2DM leads to more severe depression, whereas depression is associated with more complications and higher mortality in T2DM. MR studies demonstrated a causal effect of MDD on T2DM in Europeans, while a suggestive causal association in the opposite direction was found in East Asians. Antidepressants, but not lithium, were associated with a higher T2DM risk in the long-term, but confounders cannot be excluded. Some oral antidiabetics, such as pioglitazone and liraglutide, may be effective on depressive and cognitive symptoms. Studies in multi-ethnic populations, with a more careful assessment of confounders and appropriate power, would be important.
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Affiliation(s)
- Chiara Possidente
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Wang Y, Shi M, Li X. Effects of weight loss on cognitive function in patients with diabetes: a systematic review and meta-analysis. Diabetes Res Clin Pract 2023; 200:110687. [PMID: 37105400 DOI: 10.1016/j.diabres.2023.110687] [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: 02/24/2023] [Revised: 04/08/2023] [Accepted: 04/20/2023] [Indexed: 04/29/2023]
Abstract
AIMS Normalization of body weight is a treatment objective for diabetes. Therefore, anti-diabetic drugs that cause weight loss are widely used in clinics, with the aim of reducing the risk of chronic complications. However, the effect of weight loss on cognition in patients with diabetes is unclear. METHODS Embase, the Cochrane Library, PubMed, and the Web of Science were searched systematically, without study type restrictions, from inception to December 18, 2022. Weight loss was defined as a statistically significant decrease in body mass index (BMI) following an observation or intervention. We conducted an analysis of pooled data using a random-effects model. RESULTS A total of 619 participants in five studies were included. Weight loss was not associated with cognitive changes in patients with diabetes (standardized mean difference 0.50, 95% confidence interval -0.09 to 1.08). Subgroup analyses showed that this was not significantly affected by the duration of intervention or observation, or the size of the reduction in BMI. However, it was challenging to draw definitive conclusions regarding the effects of interventions and baseline BMI, because only one study was included. CONCLUSIONS Weight loss may be neutral to cognitive function in diabetes, but further studies are required to draw more definitive conclusions.
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Affiliation(s)
- Yaqi Wang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Mei Shi
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
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Maimaitituerxun R, Chen W, Xiang J, Xie Y, Kaminga AC, Wu XY, Chen L, Yang J, Liu A, Dai W. The use of nomogram for detecting mild cognitive impairment in patients with type 2 diabetes mellitus. J Diabetes 2023; 15:448-458. [PMID: 37057310 PMCID: PMC10172024 DOI: 10.1111/1753-0407.13384] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/09/2023] [Accepted: 03/21/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is highly prevalent worldwide and may lead to a higher rate of cognitive dysfunction. This study aimed to develop and validate a nomogram-based model to detect mild cognitive impairment (MCI) in T2DM patients. METHODS Inpatients with T2DM in the endocrinology department of Xiangya Hospital were consecutively enrolled between March and December 2021. Well-qualified investigators conducted face-to-face interviews with participants to retrospectively collect sociodemographic characteristics, lifestyle factors, T2DM-related information, and history of depression and anxiety. Cognitive function was assessed using the Mini-Mental State Examination scale. A nomogram was developed to detect MCI based on the results of the multivariable logistic regression analysis. Calibration, discrimination, and clinical utility of the nomogram were subsequently evaluated by calibration plot, receiver operating characteristic curve, and decision curve analysis, respectively. RESULTS A total of 496 patients were included in this study. The prevalence of MCI in T2DM patients was 34.1% (95% confidence interval [CI]: 29.9%-38.3%). Age, marital status, household income, diabetes duration, diabetic retinopathy, anxiety, and depression were independently associated with MCI. Nomogram based on these factors had an area under the curve of 0.849 (95% CI: 0.815-0.883), and the threshold probability ranged from 35.0% to 85.0%. CONCLUSIONS Almost one in three T2DM patients suffered from MCI. The nomogram, based on age, marital status, household income, duration of diabetes, diabetic retinopathy, anxiety, and depression, achieved an optimal diagnosis of MCI. Therefore, it could provide a clinical basis for detecting MCI in T2DM patients.
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Affiliation(s)
- Rehanguli Maimaitituerxun
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Wenhang Chen
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
| | - Jingsha Xiang
- Human Resources Department, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yu Xie
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Atipatsa C Kaminga
- Department of Mathematics and Statistics, Mzuzu University, Mzuzu, Malawi
| | - Xin Yin Wu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Letao Chen
- Infection Control Center, Xiangya Hospital, Central South University, Changsha, China
| | - Jianzhou Yang
- Department of Preventive Medicine, Changzhi Medical College, Changzhi, China
| | - Aizhong Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Wenjie Dai
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
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Anxiety and cognitive functioning in the Maastricht study: A cross-sectional population study. J Affect Disord 2022; 319:570-579. [PMID: 36162695 DOI: 10.1016/j.jad.2022.09.072] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 06/07/2022] [Accepted: 09/20/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Higher anxiety levels in older adults are associated with worse executive functioning and an increased risk for dementia. In this study individual anxiety disorders and clinically relevant generalized anxiety symptoms are studied in relation to multiple cognitive domains. METHOD This cross-sectional study includes 7344 community-dwelling participants of The Maastricht Study aged 40-75 years and oversampling of type 2 diabetes. Panic disorder with and without agoraphobia, agoraphobia and lifetime panic disorder were measured with the Mini International Neuropsychiatric Interview. Generalized anxiety symptoms were measured with the Generalized Anxiety Disorder 7-item scale (GAD-7). Multiple cognitive domains (executive functioning, memory and processing speed) and cognitive impairment were assessed. Multivariable linear and logistic regression analyses were used with adjustment for potential confounders. Interaction analyses were performed to test the moderation of age, sex and type 2 diabetes (due to oversampling). RESULTS Agoraphobia was associated with worse scores on all cognitive domains (range B = -0.12 to -0.10; range 95%CI = -0.20 to -0.04) and with higher odds of cognitive impairment (OR = 1.51, 95%CI = 1.18-1.93). High scores on the GAD-7 were associated with worse scores on processing speed (B = -0.11, 95%CI = -0.20 to -0.03) and higher odds of cognitive impairment (OR = 1.42, 95%CI = 1.02-1.97). Panic disorder was significantly associated with worse scores on memory tasks (B = -0.25, 95%CI = -0.48 to -0.02). Associations were stronger in the younger participants and for agoraphobia and GAD-7 scores also in those with type 2 diabetes. CONCLUSION Multiple anxiety disorders and generalized anxiety symptoms were associated with worse cognitive functioning on several cognitive domains.
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Chai YH, Zhang YP, Qiao YS, Gong HJ, Xu H, She HC, Patel I, Liu W, Stehouwer CDA, Zhou JB, Simó R. Association Between Diabetic Retinopathy, Brain Structural Abnormalities, and Cognitive Impairment for Accumulated Evidence in Observational Studies. Am J Ophthalmol 2022; 239:37-53. [PMID: 35063409 DOI: 10.1016/j.ajo.2022.01.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 12/01/2022]
Abstract
PURPOSE To evaluate the association between diabetic retinopathy (DR) and cerebral disease or cognitive impairment. DESIGN Systematic review and meta-analysis. METHOD The hypothesis was formulated prior to data collection. Cross-sectional studies and cohort studies that assessed the association between any measure of DR and cerebral small vessel disease or any type of cognitive impairment in diabetic participants were included. The data were independently extracted by two investigators. This systematic review and meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses and Meta-analysis of Observational Studies in Epidemiology guidelines RESULTS: A total of 27 studies were included. The combined odds ratio of 5 cross-sectional/cohort studies that reported that the associations between DR and cerebral structural changes was 1.75 (95% confidence interval [CI]: 1.36-2.25). The combined hazard ratio of 4 cohort studies that examined the association between DR and cognitive impairment events was 1.47 (95% CI: 1.22-1.78). The combined odds ratio of 14 cross-sectional/cohort studies that examined the association between DR and different cognitive impairment events was 1.43 (95% CI: 1.06-1.93). The overall coefficient (β) of 4 studies that examined the relationship between DR and specific cognitive performance was 0.09 (95% CI: 0.00-0.18). Considering the quality of the data, we have performed subgroup analysis in studies scored >7 and studies scored ≤7, respectively, according to the Newcastle-Ottawa scale. CONCLUSION The present meta-analysis suggests that DR is associated with an increased risk of structural abnormalities in the brain and cognitive impairment. This association remained significant after adjusting for blood glucose, and the presence of hypertension, indicating that DR is an important danger signal for cerebral abnormalities.
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Affiliation(s)
- Yin-He Chai
- From the Department of Endocrinology (Y.-H.C., Y.-S.Q, H.-J.G, H.X., I.P., W.L. J.B.Z.), Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yong-Peng Zhang
- Beijing Tongren Eye Center (Y.P.Z., H.C.S.), Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yu-Shun Qiao
- From the Department of Endocrinology (Y.-H.C., Y.-S.Q, H.-J.G, H.X., I.P., W.L. J.B.Z.), Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hong-Jian Gong
- From the Department of Endocrinology (Y.-H.C., Y.-S.Q, H.-J.G, H.X., I.P., W.L. J.B.Z.), Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hui Xu
- From the Department of Endocrinology (Y.-H.C., Y.-S.Q, H.-J.G, H.X., I.P., W.L. J.B.Z.), Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hai-Cheng She
- Beijing Tongren Eye Center (Y.P.Z., H.C.S.), Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ikramulhaq Patel
- From the Department of Endocrinology (Y.-H.C., Y.-S.Q, H.-J.G, H.X., I.P., W.L. J.B.Z.), Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wei Liu
- From the Department of Endocrinology (Y.-H.C., Y.-S.Q, H.-J.G, H.X., I.P., W.L. J.B.Z.), Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Coen D A Stehouwer
- Department of Internal Medicine and CARIM School for Cardiovascular Diseases (C.D.A.S.), Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jian-Bo Zhou
- From the Department of Endocrinology (Y.-H.C., Y.-S.Q, H.-J.G, H.X., I.P., W.L. J.B.Z.), Beijing Tongren Hospital, Capital Medical University, Beijing, China.
| | - Rafael Simó
- Department of Endocrinology and Nutrition (R.S.), Vall d'Hebron University Hospital, Autonomous University, Barcelona, Spain; Diabetes and Metabolism Research Unit (R.S.), Vall d'Hebron Research Institute (VHIR), Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) (R.S.), Instituto de Salud Carlos III (ICSIII), Madrid, Spain
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Pinna F, Suprani F, Deiana V, Lai L, Manchia M, Paribello P, Somaini G, Diana E, Nicotra EF, Farci F, Ghiani M, Cau R, Tuveri M, Cossu E, Loy E, Crapanzano A, Grassi P, Loviselli A, Velluzzi F, Carpiniello B. Depression in Diabetic Patients: What Is the Link With Eating Disorders? Results of a Study in a Representative Sample of Patients With Type 1 Diabetes. Front Psychiatry 2022; 13:848031. [PMID: 35782445 PMCID: PMC9243395 DOI: 10.3389/fpsyt.2022.848031] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 05/25/2022] [Indexed: 11/30/2022] Open
Abstract
Background and Purpose Comorbidity between diabetes and depression, and diabetes and eating disorders (ED) conveys significant diagnostic, clinical and therapeutic implications. The present study was conducted on a sample of adult outpatients affected by Type 1 Diabetes (T1DM) to assess lifetime prevalence of ED; current prevalence of depression and Disturbed Eating Behaviors (DEB) and their impact on glycemic control. We hypothesized that patients with depression would have higher rates of lifetime ED and current DEB. We hypothesized a significant and independent association between DEB and the prevalence of depression. Materials and Methods The study was carried out using a cross-sectional design in a sample of 172 diabetic patients with T1DM aged from 17 to 55 years. Lifetime prevalence of ED according to DSM-5 criteria was assessed by means of the Module H modified of the Structured Clinical Interview for DSM-IV Axis I Disorder (SCID-I). The following questionnaires were used: Beck Depression Inventory-IA version (BDI-IA) and Diabetes Eating Problems Survey-Revised (DEPS-R), to assess respectively the current presence of depression and DEB. Socio-demographic, clinical, and laboratory data were also collected. Results High rates of depression (35.5%) and DEB (19.2%) were observed in our sample of 172 adult outpatients with T1DM. Lifetime history of ED was present in 20.9% of the sample and was more frequently diagnosed in patients with current depression (34.4% vs. 13.9%, p = 0.002). Higher levels of DEB at DEPS-R significantly increased the odds of depression (adjOR: 1.09; 95% CI: 1.03-1.15; p = 0.003). The presence of DEB was associated with poor glycemic control. On the other hand, no association was found between depression and metabolic compensation. Conclusion Adult patients with T1DM and depression should be screened for ED and DEB. Treating DEB could positively impact both mood and glycemic control in this population. Further studies should be carried out on a larger patient population using a longitudinal design and an accurate method of evaluation to explore the complex relationship between diabetes, depression, ED, and DEB. Future research should investigate treatment strategies for DEB in T1DM patients and their impact on both psychopathological and metabolic outcomes.
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Affiliation(s)
- Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Federico Suprani
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Valeria Deiana
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Lorena Lai
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Giulia Somaini
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Enrica Diana
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | | | - Fernando Farci
- Unit of Diabetology, Azienda Sanitaria Locale Cagliari, Quartu Sant’Elena, Italy
| | - Mariangela Ghiani
- Unit of Diabetology, Azienda Sanitaria Locale Cagliari, Quartu Sant’Elena, Italy
| | - Rossella Cau
- Unit of Diabetology, Azienda Sanitaria Locale Cagliari, Quartu Sant’Elena, Italy
| | - Marta Tuveri
- Endocrinology and Diabetes Unit, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Efisio Cossu
- Endocrinology and Diabetes Unit, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Elena Loy
- Endocrinology and Diabetes Unit, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Andrea Crapanzano
- Department of Counseling, San Francisco State University, San Francisco, CA, United States
| | - Paola Grassi
- Department of Education, Psychology and Philosophy, University of Cagliari, Cagliari, Italy
| | - Andrea Loviselli
- Endocrinology and Obesity Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Fernanda Velluzzi
- Endocrinology and Obesity Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
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Mauvais-Jarvis F, Berthold HK, Campesi I, Carrero JJ, Dakal S, Franconi F, Gouni-Berthold I, Heiman ML, Kautzky-Willer A, Klein SL, Murphy A, Regitz-Zagrosek V, Reue K, Rubin JB. Sex- and Gender-Based Pharmacological Response to Drugs. Pharmacol Rev 2021; 73:730-762. [PMID: 33653873 PMCID: PMC7938661 DOI: 10.1124/pharmrev.120.000206] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
In humans, the combination of all sex-specific genetic, epigenetic, and hormonal influences of biologic sex produces different in vivo environments for male and female cells. We dissect how these influences of sex modify the pharmacokinetics and pharmacodynamics of multiple drugs and provide examples for common drugs acting on specific organ systems. We also discuss how gender of physicians and patients may influence the therapeutic response to drugs. We aim to highlight sex as a genetic modifier of the pharmacological response to drugs, which should be considered as a necessary step toward precision medicine that will benefit men and women. SIGNIFICANCE STATEMENT: This study discusses the influences of biologic sex on the pharmacokinetics and pharmacodynamics of drugs and provides examples for common drugs acting on specific organ systems. This study also discusses how gender of physicians and patients influence the therapeutic response to drugs.
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Affiliation(s)
- Franck Mauvais-Jarvis
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Heiner K Berthold
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Ilaria Campesi
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Juan-Jesus Carrero
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Santosh Dakal
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Flavia Franconi
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Ioanna Gouni-Berthold
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Mark L Heiman
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Alexandra Kautzky-Willer
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Sabra L Klein
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Anne Murphy
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Vera Regitz-Zagrosek
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Karen Reue
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
| | - Joshua B Rubin
- Section of Endocrinology, John W. Deming Department of Medicine, Diabetes Discovery and Sex-Based Medicine Laboratory, Tulane University School of Medicine and Southeast Louisiana Veterans Health Care System Medical Center, New Orleans, Louisiana (F.M.-J.); Department of Internal Medicine and Geriatrics, Bethel Clinic (EvKB), Bielefeld, Germany (H.K.B.); Department of Biomedical Sciences, University of Sassari, Sassari, Italy (I.C.); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.-J.C.); W. Harry Feinstone Department of Molecular Microbiology and Immunology, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.D., S.L.K.); Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Sassari, Italy (F.F.); Polyclinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University of Cologne, Cologne, Germany (I.G.-B.); Scioto Biosciences, Indianapolis, Indiana (M.L.H.); Department of Internal Medicine III, Clinical Division of Endocrinology, Metabolism and Gender Medicine, Medical University of Vienna, Vienna and Gender Institute Gars am Kamp, Vienna, Austria (A.K.-W.); Neuroscience Institute, Georgia State University, Atlanta, Georgia (A.M.); Berlin Institute of Gender Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany and University of Zürich, Switzerland (V.R.-Z.); Department of Human Genetics, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, Los Angeles, California (K.R.); and Departments of Medicine, Pediatrics, and Neuroscience, Washington University School of Medicine, St. Louis, Missouri (J.B.R.)
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10
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Huang CJ, Hsieh HM, Tu HP, Jiang HJ, Wang PW, Lin CH. Generalized anxiety disorder in type 2 diabetes mellitus: prevalence and clinical characteristics. ACTA ACUST UNITED AC 2020; 42:621-629. [PMID: 32321059 PMCID: PMC7678902 DOI: 10.1590/1516-4446-2019-0605] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 01/06/2020] [Indexed: 11/25/2022]
Abstract
Objective: This study investigated the prevalence of generalized anxiety disorder (GAD) in Taiwanese patients with type 2 diabetes mellitus (T2DM). Methods: This retrospective observational study was conducted with a random sample of patients from the entire population of National Health Insurance enrollees during 2000-2010 and used ICD-9-CM diagnostic codes to identify T2DM patients and GAD. The prevalence of GAD was compared between T2DM patients and the general population. Results: Between 2000 and 2010, the prevalence of GAD was significantly greater in the T2DM patients than the general population, while the increase of GAD was higher in the general population (from 0.25 to 0.63%) than among T2DM patients (from 0.81 to 1.03%). In T2DM patients, GAD was associated with female gender, a Charlson Comorbidity Index ≥ 1, diabetes mellitus duration > 9 years, and the following comorbidities: congestive heart failure, peripheral vascular disease, and depressive disorder. The prevalence of GAD among T2DM patients was negatively associated with rapid-acting insulin injection therapy and with the use of metformin and sulfonylureas. Conclusion: Since the prevalence of GAD was greater among T2DM patients than the general population, public health initiatives are needed to prevent and treat GAD in T2DM patients, specifically those with the above mentioned risk factors.
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Affiliation(s)
- Chun-Jen Huang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hui-Min Hsieh
- Department of Public Health, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Pin Tu
- Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - He-Jiun Jiang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Peng-Wei Wang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Hua Lin
- Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Adult Psychiatry, Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
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11
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Whitworth SR, Bruce DG, Starkstein SE, Davis TME, Skinner TC, Davis WA, Bucks RS. Risk factors and outcomes of anxiety symptom trajectories in type 2 diabetes: the Fremantle Diabetes Study Phase II. Diabet Med 2020; 37:1688-1695. [PMID: 32531090 DOI: 10.1111/dme.14344] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/05/2020] [Indexed: 12/11/2022]
Abstract
AIM To identify determinants and outcomes of 4-year trajectories of anxiety symptoms in a community-based cohort with type 2 diabetes. METHODS Some 1091 participants in the Fremantle Diabetes Study-Phase II with type 2 diabetes completed the Generalized Anxiety Disorder Scale at baseline and biennially for 4 years, in addition to psychological, biomedical and self-management measures. Latent growth mixture modelling identified trajectories of anxiety symptom severity, and regression models determined predictors of trajectory membership and associated outcomes. RESULTS Two distinct groups of participants were identified: those with continuously low-no anxiety symptoms (87%) and those with improving but consistently high anxiety symptoms (elevated anxiety; 13%). Higher HbA1c and BMI, macrovascular complications and a history of generalized anxiety and/or major depressive disorder increased the risk of elevated anxiety. Elevated anxiety did not predict change in health-related outcomes over time. Elevated anxiety and depression symptoms were highly comorbid and those with both displayed the most persistent anxiety symptoms. CONCLUSIONS A subgroup of individuals with type 2 diabetes are at risk of persistently elevated anxiety symptoms. Routine monitoring of the severity of psychological symptoms over time in this population should facilitate earlier and more intensive mood management.
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Affiliation(s)
- S R Whitworth
- School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia
| | - D G Bruce
- School of Medicine and Pharmacology, Fremantle Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - S E Starkstein
- School of Psychiatry and Clinical Neuroscience, University of Western Australia, Perth, Western Australia, Australia
| | - T M E Davis
- School of Medicine and Pharmacology, Fremantle Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - T C Skinner
- Institute for Psychology, Centre for Health and Society, University of Copenhagen, Copenhagen, Denmark
| | - W A Davis
- School of Medicine and Pharmacology, Fremantle Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - R S Bucks
- School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia
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12
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Sridhar GR. On Psychology and Psychiatry in Diabetes. Indian J Endocrinol Metab 2020; 24:387-395. [PMID: 33489842 PMCID: PMC7810053 DOI: 10.4103/ijem.ijem_188_20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/08/2020] [Accepted: 06/06/2020] [Indexed: 12/16/2022] Open
Abstract
Managing diabetes requires dealing with diet, medications, and self-monitoring, besides other pressures of daily living. It, therefore, requires collaboration among individuals with diabetes, their families, and significant others including the social milieu in which they reside. Psychological stress plays critical role in the cause and course of diabetes, particularly in mastering various self-management skills, which are essential for adequate management of diabetes. It is possible to measure and to resolve such stressors. Besides the patient and the family, the built environment which the person occupies must be conducive for healthy living. This is a key component in providing an appropriate physical and psychosocial environment. Lacunae in any of the built environmental parameters compromise social and psychological well-being. Psychiatric conditions are also common in diabetes. Both depression and distress are bi-directionally associated with diabetes. The presence of one condition increases the risk of developing the other. In addition, medications used for the treatment of psychiatric conditions have adverse effects on body weight and insulin sensitivity. One must carefully weigh the risk and benefit of the drug class with potential adverse effects. Therefore, identification and management of psychological and psyciatric aspects in subjects with diabetes is an integral and critical component in treating subjects with diabetes.
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13
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Jensen AD, Andersen ST, Charles M, Bjerg L, Witte DR, Gram B, Jørgensen ME, Sandbæk A, Dalsgaard EM. Factors associated with attendance at clinical follow-up of a cohort with screen-detected type 2 diabetes: ADDITION-Denmark. Prim Care Diabetes 2020; 14:239-245. [PMID: 31587895 DOI: 10.1016/j.pcd.2019.09.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/03/2019] [Accepted: 09/06/2019] [Indexed: 10/25/2022]
Abstract
AIMS To determine the association between concurrent overall burden of disease, cardiovascular disease, cancer, self-rated health, HbA1c levels, and attendance at clinical follow-up of the Danish arm of the ADDITION-study. METHODS Logistic regression models were used to study factors proposed being associated with attendance in clinical follow-up. We used data from clinical examinations, questionnaires and national registers at a time-point near the follow-up examination. RESULTS A total of 1119 participants were eligible for the follow-up conducted a median of 12.8 years (IQR 11.6; 13.4) after type 2 diabetes diagnosis by screening. Concurrent high burden of disease was associated with lower attendance (OR 0.6 (95% CI: 0.4; 0.9) for high-versus no burden of disease). Concurrent cardiovascular disease and cancer showed no statistically significant association with attendance (OR 1.0 (95% CI: 0.7; 1.4)) and (OR 0.8 (95% CI: 0.6; 1.1) for (disease versus no disease). Similarly, self-rated health (OR 0.7 (95% CI: 0.5; 1.0) poor-versus good self-rated health) and HbA1c levels (OR 1.0 (95% CI: 0.9; 1.2 unit=10mmol/mol)) were not statistically significant associated with attendance. CONCLUSIONS This study showed a lower attendance in clinical follow-up after nearly 13years among individuals with concurrent high burden of disease. No associations were found between concurrent CVD, cancer, self-rated health and Hba1c levels and attendance.
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Affiliation(s)
| | | | | | - Lasse Bjerg
- Department of Public Health, Aarhus University, Denmark; Steno Diabetes Center Copenhagen, Glostrup, Denmark; Danish Diabetes Academy, Odense, Denmark
| | - Daniel Rinse Witte
- Department of Public Health, Aarhus University, Denmark; Danish Diabetes Academy, Odense, Denmark
| | - Bibi Gram
- Research Unit of Health Sciences, Hospital of Southwest Jutland, Esbjerg, Denmark; Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Marit Eika Jørgensen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark; National Institute of Public Health, University of Southern Denmark, Denmark
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14
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A Different View to Older Diabetics: Management of Treatment According to Cognitive Functions. ROMANIAN JOURNAL OF DIABETES NUTRITION AND METABOLIC DISEASES 2019. [DOI: 10.2478/rjdnmd-2019-0024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Background and aims. Diabetes Mellitus is a chronic systemic disease which has multiple complications and the presence of these complications affects the management of disease. It is also important to consider cognitive functions when managing the treatment of older diabetics. In this study, we aimed to make proposals for the appropriate drug choice to preserve cognitive functions in elderly diabetics.
Matherial and methods. A total of 270 older diabetic patients were reviewed. Possible risk factors of cognitive impairment were investigated. Correlation analysis was performed between MMSE and GDS, age, HbA1c, duration of diabetes.
Results. Sulfonylurea (adj. OR: 2.33, %95 CI: 1.11-4.90) and insulin treatment (adj. OR: 3.79, %95 CI: 1.56-9.21) were found associated with increased risk of cognitive impairment. In addition, there was a negative correlation between MMSE and GDS (r: -.129, p<0.05).
Conclusion. We suggest that insulin and sulfonylureas should be used with caution in those with cognitive impairment.
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15
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Chaturvedi SK, Manche Gowda S, Ahmed HU, Alosaimi FD, Andreone N, Bobrov A, Bulgari V, Carrà G, Castelnuovo G, de Girolamo G, Gondek T, Jovanovic N, Kamala T, Kiejna A, Lalic N, Lecic-Tosevski D, Minhas F, Mutiso V, Ndetei D, Rabbani G, Somruk S, Srikanta S, Taj R, Valentini U, Vukovic O, Wölwer W, Cimino L, Nouwen A, Lloyd C, Sartorius N. More anxious than depressed: prevalence and correlates in a 15-nation study of anxiety disorders in people with type 2 diabetes mellitus. Gen Psychiatr 2019; 32:e100076. [PMID: 31552386 PMCID: PMC6738670 DOI: 10.1136/gpsych-2019-100076] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 07/11/2019] [Accepted: 07/14/2019] [Indexed: 01/02/2023] Open
Abstract
Background Anxiety disorder, one of the highly disabling, prevalent and common mental disorders, is known to be more prevalent in persons with type 2 diabetes mellitus (T2DM) than the general population, and the comorbid presence of anxiety disorders is known to have an impact on the diabetes outcome and the quality of life. However, the information on the type of anxiety disorder and its prevalence in persons with T2DM is limited. Aims To assess the prevalence and correlates of anxiety disorder in people with type 2 diabetes in different countries. Methods People aged 18–65 years with diabetes and treated in outpatient settings were recruited in 15 countries and underwent a psychiatric interview with the Mini-International Neuropsychiatric Interview. Demographic and medical record data were collected. Results A total of 3170 people with type 2 diabetes (56.2% women; with mean (SD) duration of diabetes 10.01 (7.0) years) participated. The overall prevalence of anxiety disorders in type 2 diabetic persons was 18%; however, 2.8% of the study population had more than one type of anxiety disorder. The most prevalent anxiety disorders were generalised anxiety disorder (8.1%) and panic disorder (5.1%). Female gender, presence of diabetic complications, longer duration of diabetes and poorer glycaemic control (HbA1c levels) were significantly associated with comorbid anxiety disorder. A higher prevalence of anxiety disorders was observed in Ukraine, Saudi Arabia and Argentina with a lower prevalence in Bangladesh and India. Conclusions Our international study shows that people with type 2 diabetes have a high prevalence of anxiety disorders, especially women, those with diabetic complications, those with a longer duration of diabetes and poorer glycaemic control. Early identification and appropriate timely care of psychiatric problems of people with type 2 diabetes is warranted.
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Affiliation(s)
- Santosh K Chaturvedi
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences, Bangalore, India
| | - Shayanth Manche Gowda
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences, Bangalore, India
| | - Helal Uddin Ahmed
- Child Adolescent and Family Psychiatry, National Institute of Mental Health, Dhaka, Bangladesh
| | - Fahad D Alosaimi
- Department of Psychiatry, King Saud University, Riyadh, Saudi Arabia
| | | | - Alexey Bobrov
- National Research Centre for Psychiatry and Narcology, Moscow, Russia
| | - Viola Bulgari
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | | | | | - Tomasz Gondek
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | | | - Thummala Kamala
- Samatvam Endocrinology Diabetes Center and Jnana Sanjeevini Diabetes Hospital and Medical Center, Bangalore, India
| | | | | | | | - Fareed Minhas
- Center for Global Mental Health, Rawalpindi, Pakistan
| | | | | | - Golam Rabbani
- Child Adolescent and Family Psychiatry, National Institute of Mental Health, Dhaka, Bangladesh
| | | | - Sathyanarayana Srikanta
- Samatvam Endocrinology Diabetes Center and Jnana Sanjeevini Diabetes Hospital and Medical Center, Bangalore, India
| | - Rizwan Taj
- Pakistan Institute of Medical Sciences, Islamabad, Pakistan
| | - Umberto Valentini
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Wolfgang Wölwer
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Düsseldorf, Dusseldorf, Germany
| | | | - Arie Nouwen
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences, Bangalore, India.,Child Adolescent and Family Psychiatry, National Institute of Mental Health, Dhaka, Bangladesh.,Department of Psychiatry, King Saud University, Riyadh, Saudi Arabia.,IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Italy.,National Research Centre for Psychiatry and Narcology, Moscow, Russia.,IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,University of Milano-Bicocca, Bicocca, Italy.,Department of Psychology, Catholic University, Milan, Italy.,Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.,Institute of Mental Health, Belgrade, Serbia.,Samatvam Endocrinology Diabetes Center and Jnana Sanjeevini Diabetes Hospital and Medical Center, Bangalore, India.,University of Lower Silesia, Wroclaw, Poland.,Center for Global Mental Health, Rawalpindi, Pakistan.,University of Nairobi, Nairobi, Kenya.,Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Pakistan Institute of Medical Sciences, Islamabad, Pakistan.,Department of Psychiatry and Psychotherapy, Medical Faculty, University of Düsseldorf, Dusseldorf, Germany.,ProConsult, Owings Mills, Maryland, USA
| | - Cathy Lloyd
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences, Bangalore, India.,Child Adolescent and Family Psychiatry, National Institute of Mental Health, Dhaka, Bangladesh.,Department of Psychiatry, King Saud University, Riyadh, Saudi Arabia.,IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Italy.,National Research Centre for Psychiatry and Narcology, Moscow, Russia.,IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,University of Milano-Bicocca, Bicocca, Italy.,Department of Psychology, Catholic University, Milan, Italy.,Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.,Institute of Mental Health, Belgrade, Serbia.,Samatvam Endocrinology Diabetes Center and Jnana Sanjeevini Diabetes Hospital and Medical Center, Bangalore, India.,University of Lower Silesia, Wroclaw, Poland.,Center for Global Mental Health, Rawalpindi, Pakistan.,University of Nairobi, Nairobi, Kenya.,Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Pakistan Institute of Medical Sciences, Islamabad, Pakistan.,Department of Psychiatry and Psychotherapy, Medical Faculty, University of Düsseldorf, Dusseldorf, Germany.,ProConsult, Owings Mills, Maryland, USA
| | - Norman Sartorius
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences, Bangalore, India.,Child Adolescent and Family Psychiatry, National Institute of Mental Health, Dhaka, Bangladesh.,Department of Psychiatry, King Saud University, Riyadh, Saudi Arabia.,IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Italy.,National Research Centre for Psychiatry and Narcology, Moscow, Russia.,IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,University of Milano-Bicocca, Bicocca, Italy.,Department of Psychology, Catholic University, Milan, Italy.,Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.,Institute of Mental Health, Belgrade, Serbia.,Samatvam Endocrinology Diabetes Center and Jnana Sanjeevini Diabetes Hospital and Medical Center, Bangalore, India.,University of Lower Silesia, Wroclaw, Poland.,Center for Global Mental Health, Rawalpindi, Pakistan.,University of Nairobi, Nairobi, Kenya.,Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Pakistan Institute of Medical Sciences, Islamabad, Pakistan.,Department of Psychiatry and Psychotherapy, Medical Faculty, University of Düsseldorf, Dusseldorf, Germany.,ProConsult, Owings Mills, Maryland, USA
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16
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Saetung S, Nimitphong H, Siwasaranond N, Sumritsopak R, Jindahra P, Krairit O, Thakkinstian A, Anothaisintawee T, Reutrakul S. The relationship between sleep and cognitive function in patients with prediabetes and type 2 diabetes. Acta Diabetol 2018; 55:917-925. [PMID: 29872969 DOI: 10.1007/s00592-018-1166-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 05/22/2018] [Indexed: 12/14/2022]
Abstract
AIMS Diabetes is linked to cognitive impairment. Sleep plays a role in memory consolidation. Sleep disturbances, commonly found in patients with diabetes, were shown to be related to cognitive dysfunction. This study explored the role of sleep in cognitive function of patients with abnormal glucose tolerance. METHODS A total of 162 patients (81 type 2 diabetes and 81 prediabetes) participated. Sleep duration and sleep efficiency (an indicator of sleep quality) were obtained using 7-day actigraphy recordings. Obstructive sleep apnea (OSA) was screened using an overnight in-home monitor. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). Three sub-scores of MoCA, visuoexecutive function, attention and delayed recall, were also analyzed. RESULTS Mean age was 54.8 (10.2) years. OSA was diagnosed in 123 participants (76.9%). Mean sleep duration was 6.0 (1.0) h and sleep efficiency was 82.7 (8.1) %. Sleep duration and OSA severity were not related to MoCA scores. Higher sleep efficiency was associated with higher MoCA scores (p = 0.003), and having diabetes (vs. prediabetes) was associated with lower MoCA scores (p = 0.001). After adjusting covariates, both having diabetes (vs. prediabetes) (B = - 1.137, p = 0.002) and sleep efficiency (B = 0.085, p < 0.001) were independently associated with MoCA scores. In addition, diabetes (B = - 0.608, p < 0.001) and sleep efficiency (B = 0.038, p < 0.001) were associated with visuoexecutive function. Sleep parameters were not related to delayed recall or attention scores. CONCLUSION Lower sleep efficiency is independently associated with lower cognitive function in patients with abnormal glucose tolerance. Whether sleep optimization may improve cognitive function in these patients should be explored.
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Affiliation(s)
- Sunee Saetung
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Hataikarn Nimitphong
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Nantaporn Siwasaranond
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Rungtip Sumritsopak
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Panitha Jindahra
- Division of Neurology, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Orapitchaya Krairit
- Division of Geriatrics, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Ammarin Thakkinstian
- Section for Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Thunyarat Anothaisintawee
- Section for Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
- Department of Family Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand
| | - Sirimon Reutrakul
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd, Ratchathewi, Bangkok, 10400, Thailand.
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois at Chicago, 835 S. Wolcott St, Suite 625E, M/C 640, Chicago, IL, 60612, USA.
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17
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Dunstan DA, Scott N. Assigning Clinical Significance and Symptom Severity Using the Zung Scales: Levels of Misclassification Arising from Confusion between Index and Raw Scores. DEPRESSION RESEARCH AND TREATMENT 2018; 2018:9250972. [PMID: 29610683 PMCID: PMC5828114 DOI: 10.1155/2018/9250972] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 12/19/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND The Zung Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) are two norm-referenced scales commonly used to identify the presence of depression and anxiety in clinical research. Unfortunately, several researchers have mistakenly applied index score criteria to raw scores when assigning clinical significance and symptom severity ratings. This study examined the extent of this problem. METHOD 102 papers published over the six-year period from 2010 to 2015 were used to establish two convenience samples of 60 usages of each Zung scale. RESULTS In those papers where cut-off scores were used (i.e., 45/60 for SDS and 40/60 for SAS), up to 51% of SDS and 45% of SAS papers involved the incorrect application of index score criteria to raw scores. Inconsistencies were also noted in the severity ranges and cut-off scores used. CONCLUSIONS A large percentage of publications involving the Zung SDS and SAS scales are using incorrect criteria for the classification of clinically significant symptoms of depression and anxiety. The most common error-applying index score criteria to raw scores-produces a substantial elevation of the cut-off points for significance. Given the continuing usage of these scales, it is important that these inconsistencies be highlighted and resolved.
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Affiliation(s)
- Debra A. Dunstan
- School of Behavioural, Cognitive and Social Sciences, University of New England, Armidale, NSW 2351, Australia
| | - Ned Scott
- School of Behavioural, Cognitive and Social Sciences, University of New England, Armidale, NSW 2351, Australia
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18
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Jorgensen A, Siersma V, Davidsen AS, Weimann A, Henriksen T, Poulsen HE, Olivarius NDF. Markers of DNA/RNA damage from oxidation as predictors of a registry-based diagnosis of psychiatric illness in type 2 diabetic patients. Psychiatry Res 2018; 259:370-376. [PMID: 29120845 DOI: 10.1016/j.psychres.2017.11.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 10/30/2017] [Accepted: 11/04/2017] [Indexed: 12/18/2022]
Abstract
Oxidative stress is a potential biological mediator of the higher rates of psychiatric illness (PI) observed after the onset of type 2 diabetes (T2DM). We investigated validated urinary markers of systemic DNA/RNA damage from oxidation (8-oxodG/8-oxoGuo respectively) as predictors of incident PI in a cohort of 1381 newly diagnosed T2DM patients, who were followed prospectively for a total of 19 years after diagnosis. Psychiatric diagnoses were from Danish national registries. Patients were examined at the time of diagnosis and at a 6-year follow-up. At baseline, 8-oxodG was slightly lower in PI vs. non-PI patients, while at 6-year follow-up, 8-oxoGuo was significantly higher in PI patients. Using Cox proportional hazard models, we found that higher levels of 8-oxodG at 6-year follow-up significantly predicted lower incidence of PI after the adjustment for confounders. In a subgroup analysis, this association was most predominant in minor PIs (unipolar depression and anxiety) compared to major PIs such as schizophrenia and bipolar disorder. These observations indicate that higher levels of systemic oxidative stress are not associated with a higher risk of PI after T2DM onset. Only PI patients treated in hospital care were included in the registries, and the conclusion thus only applies to these individuals.
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Affiliation(s)
- Anders Jorgensen
- Psychiatric Center Copenhagen (Rigshospitalet), Mental Health Services of the Capital Region, Copenhagen, Denmark.
| | - Volkert Siersma
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Denmark
| | - Annette S Davidsen
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Denmark
| | - Allan Weimann
- Laboratory of Clinical Pharmacology, Copenhagen University Hospital Rigshospitalet, Denmark; Department of Clinical Pharmacology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Denmark
| | - Trine Henriksen
- Laboratory of Clinical Pharmacology, Copenhagen University Hospital Rigshospitalet, Denmark; Department of Clinical Pharmacology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Denmark
| | - Henrik E Poulsen
- Laboratory of Clinical Pharmacology, Copenhagen University Hospital Rigshospitalet, Denmark; Department of Clinical Pharmacology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Denmark
| | - Niels de Fine Olivarius
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Denmark
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19
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Sattar L, Renneboog B, Decaux G. Hyperglycemia induces attention and gait deficits in diabetic mellitus patients. Acta Diabetol 2017; 54:953-959. [PMID: 28836108 DOI: 10.1007/s00592-017-1034-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 08/01/2017] [Indexed: 01/08/2023]
Abstract
AIMS Patients with diabetes mellitus experience a large number of falls and bone fractures that are not related solely to complications of the disease. The purpose of our study was to determine whether transient hyperglycemia affects attentional functions and gait. METHODS This was a case-control study. We asked 17 patients with type 1 or type 2 diabetes mellitus to perform three visual tests and one visual and auditory attention test (Phasic Alert A1-4 and A2-3, Go/No Go, Intermodal Comparison). Mean response time (ms) and total number of errors were assessed. Ten of the patients also performed a tandem gait test consisting of three steps. The total distance travelled (TDT, in mm) by the center of pressure was measured with a pressure-sensitive calibrated platform. Transient hyperglycemia was defined as blood glucose level greater than 13, 8 mmol/L at the time of the test. These same patients were retested 1-3 days later at a blood glucose level at least 5, 5 mmol/L lower than the initial values (T24-72h). Nineteen patients with diabetes mellitus were matched with the original participants and performed the same test under normoglycemic conditions. RESULTS During transient hyperglycemia, the mean response time (ms) and the TDT were significantly longer. The mean response time for the four tests increased by 53, 5 ms (P < 0.001). There was no increase in the number of errors. The TDT of the center of pressure increased significantly by 102 mm (P < 0.001). CONCLUSIONS Transient hyperglycemia alters attention and gait in patients with diabetes mellitus.
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Affiliation(s)
- L Sattar
- Department of Internal medicine, Saint Pierre University Hospital, Brussels, Belgium
| | - B Renneboog
- Department of Internal Medicine, IRIS South Hospitals, Brussels, Belgium
| | - G Decaux
- Department of Internal Medicine, Cliniques Universitaires Erasme (ULB), 808 Route de Lennik, 1070, Brussels, Belgium.
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20
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Kautzky-Willer A, Harreiter J. Sex and gender differences in therapy of type 2 diabetes. Diabetes Res Clin Pract 2017; 131:230-241. [PMID: 28779681 DOI: 10.1016/j.diabres.2017.07.012] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 06/09/2017] [Accepted: 07/07/2017] [Indexed: 12/11/2022]
Abstract
Clinical guidelines for the management of type 2 diabetes recommend individual therapy considering age, duration of disease, presence of complication and risk of hypoglycaemia. However, at present, the patient's sex has no impact on clinical decisions. Yet, there is mounting data pointing at biological and psychosocial differences between men and women with great impact on progression of disease and complications. Moreover, choices and preferences of therapeutic strategies as well as adherence to lifestyle and pharmacological interventions differ in both sexes. In addition, drug therapy may have sex-specific side effects. Therefore, there is need of more research on biological differences and of evidence-based individualised targeted sex-sensitive therapeutic concepts. Clinical guidelines must consider relevant sex-differences. Development and implementation of sex-specific programs may help to improve adherence to therapy and to reduce progression of disease and development of complications. A more gender-sensitive clinical approach may improve quality of life and increase health and life expectancy in men and women with type 2 diabetes.
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Affiliation(s)
- Alexandra Kautzky-Willer
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Gender Medicine Institute, Gars am Kamp, Austria.
| | - Jürgen Harreiter
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
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21
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Trento M, Durando O, Lavecchia S, Charrier L, Cavallo F, Costa MA, Hernández C, Simó R, Porta M. Vision related quality of life in patients with type 2 diabetes in the EUROCONDOR trial. Endocrine 2017; 57:83-88. [PMID: 27628581 DOI: 10.1007/s12020-016-1097-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 08/17/2016] [Indexed: 11/26/2022]
Abstract
To evaluate vision related quality of life in the patients enrolled in The European Consortium for the Early Treatment of Diabetic Retinopathy, a clinical trial on prevention of diabetic retinopathy. Four-hundred-forty-nine patients, 153 women, with type 2 Diabetes and no or mild diabetic retinopathy were enrolled in a 2-year multicenter randomized controlled trial. The 25-item National Eye Institute Visual Functioning Questionnaire was used to explore 12 subscales of vision related quality of life. The patients were 62.8 ± 6.7 years old and had 11.1 ± 5.6 years known disease duration. Diabetic retinopathy was absent in 193 (43.0 %) and mild in 256 (57.0 %). Patients without diabetic retinopathy were older, had shorter diabetes duration and used less insulin and glucose-lowering agents but did not differ by gender, best corrected visual acuity or any subscale, except vision specific mental health and vision specific role difficulties. Patients with reduced retinal thickness at the ganglion cell layer (n = 36) did not differ for diabetic retinopathy but were older, had lower best corrected visual acuity and worse scores for ocular pain, color vision and peripheral vision. On multivariable analysis, worse scores for general vision remained associated with reduced retinal thickness, diabetes duration and best corrected visual acuity, and scores for visual specific mental health with diabetic retinopathy and lower best corrected visual acuity. Visual specific role difficulties were only associated with reduced best corrected visual acuity. Scores for driving decreased among females, with worsening of Hemoglobin A1c and best corrected visual acuity. Color vision depended only on reduced retinal thickness, and peripheral vision on both reduced thickness and best corrected visual acuity. The National Eye Institute Visual Functioning Questionnaire could detect subtle changes in patients' perception of visual function, despite absent/minimal diabetic retinopathy.
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Affiliation(s)
- Marina Trento
- Laboratory of Clinical Pedagogy, Department of Medical Sciences, University of Turin, Turin, Italy.
| | - Olga Durando
- Laboratory of Clinical Pedagogy, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Sonia Lavecchia
- Laboratory of Clinical Pedagogy, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Lorena Charrier
- Department of Public Health and Paediatrics, University of Turin, Turin, Italy
| | - Franco Cavallo
- Department of Public Health and Paediatrics, University of Turin, Turin, Italy
| | - Miguel Angelo Costa
- Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal
- Diabetic Retinopathy Centre, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Cristina Hernández
- Vall d' Hebron Research Institute and CIBERDEM (ISCIII), Barcelona, Spain
| | - Rafael Simó
- Vall d' Hebron Research Institute and CIBERDEM (ISCIII), Barcelona, Spain
| | - Massimo Porta
- Laboratory of Clinical Pedagogy, Department of Medical Sciences, University of Turin, Turin, Italy
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Prevalence of anxiety disorder in patients with type 2 diabetes: a nationwide population-based study in Taiwan 2000-2010. Psychiatr Q 2017; 88:75-91. [PMID: 27155828 DOI: 10.1007/s11126-016-9436-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
This study investigates the prevalence of anxiety disorder (AD) in Taiwanese patients with type 2 diabetes (T2D). Study participants were identified based on at least one service claim for ambulatory or inpatient care with a principal diagnosis of AD and at least 2 service claims for ambulatory care or one service claim for inpatient care with a principal diagnosis of T2D, as listed in the National Health Insurance database of Taiwan. The prevalence of AD decreased from 13.75 to 11.00 % in patients with T2D, whereas it increased from 4.17 to 6.09 % in the general population during the 2000-2010 period. A high prevalence of AD in patients with T2D was associated with age >30 years, the female sex, living in the northern region, comorbidities of congestive heart failure, peripheral vascular disease, cerebrovascular disease, and depression disorder, and a Charlson participant comorbidity index of ≥1. A low prevalence of AD in patients with T2D was associated with residency in urban areas, the comorbidity of hemiplegia or paraplegia, the usage of metformin and sulfonylureas, and rapid-acting insulin injection therapy. The prevalence of AD was higher in patients with T2D than in the general population. Therefore, more public health emphasis is required for preventing and treating AD in patients with T2D, specifically those with the mentioned risk factors.
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Whitworth SR, Bruce DG, Starkstein SE, Davis WA, Davis TME, Bucks RS. Lifetime depression and anxiety increase prevalent psychological symptoms and worsen glycemic control in type 2 diabetes: The Fremantle Diabetes Study Phase II. Diabetes Res Clin Pract 2016; 122:190-197. [PMID: 27865961 DOI: 10.1016/j.diabres.2016.10.023] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 10/21/2016] [Accepted: 10/30/2016] [Indexed: 01/30/2023]
Abstract
AIMS To determine the contribution of lifetime major depressive disorder (L-MDD) and lifetime generalized anxiety disorder (L-GAD) to current psychological symptom severity, health behaviour and glycaemic control in type 2 diabetes. METHODS 1285 community-dwelling people with type 2 diabetes (Fremantle Diabetes Study Phase-II; FDS2) completed the PHQ-9 and Brief Life-Time Depression Scale (BLDS) to assess current and past MDD. The Generalized Anxiety Disorder Scale (GADS) and the Generalized Anxiety Disorder Scale-Lifetime (GAD-LT), designed for FDS2, assessed current and past anxiety. Data were analysed using analysis of covariance and multiple mediation models, controlling for age, gender, marital status, and diabetes duration. RESULTS L-MDD and L-GAD were independently associated with more severe current depression (both P<0.001) and anxiety (both P<0.001) symptoms. Mediation models revealed that, through increasing the severity of current depressive symptoms, L-MDD was associated with higher HbA1c and body mass index (BMI), greater likelihood of current smoking, and reduced self-monitoring of blood glucose (SMBG) (indirect regression path ab, all P<0.001). In combination, L-MDD+L-GAD additionally elevated the risk of higher HbA1c and worse diabetes management, by increasing the severity of current depressive symptoms (indirect regression path ab, all P<0.001). CONCLUSIONS Lifetime depression and anxiety increase risk of more severe psychological symptoms, hyperglycaemia, and difficulties with health behaviour in type 2 diabetes. Early screening for these disorders at diabetes diagnosis may be warranted to maximize long-term health outcomes.
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Affiliation(s)
- S R Whitworth
- School of Psychology, The University of Western Australia, Crawley, Western Australia, Australia.
| | - D G Bruce
- School of Medicine & Pharmacology, The University of Western Australia, Crawley, Western Australia, Australia
| | - S E Starkstein
- School of Psychiatry & Clinical Neurosciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - W A Davis
- School of Medicine & Pharmacology, The University of Western Australia, Crawley, Western Australia, Australia
| | - T M E Davis
- School of Medicine & Pharmacology, The University of Western Australia, Crawley, Western Australia, Australia
| | - R S Bucks
- School of Psychology, The University of Western Australia, Crawley, Western Australia, Australia
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Diagnosed but Not Undiagnosed Diabetes Is Associated with Depression in Rural Areas. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13111136. [PMID: 27854262 PMCID: PMC5129346 DOI: 10.3390/ijerph13111136] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 11/01/2016] [Accepted: 11/08/2016] [Indexed: 12/18/2022]
Abstract
Background: There is a lack of study on the relation between undiagnosed diabetes and depression in the general population. Methods: A total of 11,531 adults were examined using a multistage cluster sampling method to select a representative sample of individuals who were at least 35 years old. Subjects were classified into three groups: no diabetes (ND), diagnosed diabetes (DD), and undiagnosed diabetes (UD). The participants were surveyed with the Patient Health Questionnaire-9 (PHQ-9). Results: Of all the 11,531 participants, the prevalence of depression was higher in the DD group than in the other two groups. Multi variable logistic regression analyses show that the DD group had significantly higher odds for depression compared with the ND group (p < 0.01), while the UD group showed no significant differences compared to the ND group. Subgroup analyses show that diagnosed diabetes in subjects with a lower educational level, compared with subjects with an educational level of high school or above, had higher odds for a PHQ-9 score ≥5 (p < 0.01). Conclusion: In this general population, diagnosed but not undiagnosed diabetes was significantly associated with depression. Much higher odds for depression were found among diagnosed diabetic individuals with a lower level of education.
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Zhu Y, Fish AF, Li F, Liu L, Lou Q. Psychosocial factors not metabolic control impact the quality of life among patients with type 2 diabetes in China. Acta Diabetol 2016; 53:535-41. [PMID: 26754324 DOI: 10.1007/s00592-015-0832-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 12/18/2015] [Indexed: 12/16/2022]
Abstract
AIMS Quality of life is a major focus of health care today. In published studies on patients with type 2 diabetes, findings on quality of life are mixed. Those with diabetes have chronic illness and must adhere to a complicated care regimen daily, which for many patients is challenging. This study analyzed psychosocial factors and metabolic control as potential predictors of quality of life among these patients. METHODS A cross-sectional study of 397 patients with type 2 diabetes was conducted in a hospital in Nanjing, China. Demographic information and clinical characteristics were collected from the medical record. The World Health Organization Quality of Life-BREF, General Self-Efficacy Scale, Diabetes Distress Scale, and Diabetes Empowerment Scale-Short Form were administered. RESULTS The mean score of quality of life was 67.80 ± 13.44 on a 100-point scale. General self-efficacy (β = 0.340, P < 0.001), diabetes distress (β = -0.266, P < 0.001), and diabetes empowerment ability (β = 0.207, P < 0.001) were predictors of quality of life. In contrast, other factors including HbA1c, diabetes complications, and the duration of diabetes were not associated with quality of life (P > 0.05). CONCLUSIONS Our study indicated that psychosocial factors such as self-efficacy, diabetes distress, and diabetes empowerment ability are related to quality of life. Assessment and interventions aimed at reducing psychosocial problems should be applied in diabetes care.
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Affiliation(s)
- Yuanyuan Zhu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, Jiangsu Province, China
- Nursing College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China
| | - Anne F Fish
- College of Nursing, University of Missouri-St. Louis, Affiliated with the ISP Fellowship Support Program, St. Louis, MO, USA
| | - Fan Li
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, Jiangsu Province, China
| | - Lin Liu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, Jiangsu Province, China
| | - Qingqing Lou
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, Jiangsu Province, China.
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Tong A, Wang X, Li F, Xu F, Li Q, Zhang F. Risk of depressive symptoms associated with impaired glucose metabolism, newly diagnosed diabetes, and previously diagnosed diabetes: a meta-analysis of prospective cohort studies. Acta Diabetol 2016; 53:589-98. [PMID: 26923701 DOI: 10.1007/s00592-016-0845-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 01/31/2016] [Indexed: 01/11/2023]
Abstract
AIMS Patients with diabetes had a higher risk of developing depressive symptoms. Little is known about the risk of depressive symptoms associated with different glucose metabolism status. We performed a meta-analysis of prospective cohort studies to investigate the risk of depressive symptoms among individuals with impaired glucose metabolism (IGM), newly diagnosed diabetes (NDM), and previously diagnosed diabetes (PDM), compared with those with normal glucose metabolism (NGM), and further examined the influence of diabetes-related comorbidities on the association. METHODS PubMed and EMBASE were searched for relevant studies through 5 September 2015. The random-effects model was used to calculated overall relative risk (RR) and confidence interval (CI). Three separated meta-analyses were conducted by estimating the risk of depressive symptoms among people with IGM, NDM, and PDM, with NGM as a common reference category. Secondary analyses were conducted to examine whether adjustment for diabetes-related comorbidities affected the association. RESULTS Five prospective cohort studies were included in the analyses, with a total of 18,051 participants involved. People with IGM (RR = 1.08, 95 % CI 0.84-1.38) and NDM (RR = 1.07, 95 % CI 0.74-1.55) were not associated with risk of developing depressive symptoms, whereas patients with PDM were associated with a modest increased risk of depressive symptoms (RR = 1.29, 95 % CI 1.03-1.63), after adjustment for demographic/socioeconomic factors. The risk of depressive symptoms associated with PDM was attenuated to be non-significant after pooling RRs that were adjusted for diabetes-related comorbidities. CONCLUSIONS Our meta-analysis suggested people with PDM, but not IGM or NDM had an increased risk of developing depressive symptoms, and the risk was partially explained by diabetes-related comorbidities. Our findings indicated that routine diabetes care should put more emphasis on psychological problems of diabetic patients with complications.
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Affiliation(s)
- Aihua Tong
- Department of Endocrine, Yishui Central Hospital, Linyi, Shandong, China
| | - Xihui Wang
- Department of Endocrine, Yishui Central Hospital, Linyi, Shandong, China
| | - Fuyuan Li
- Department of Endocrine, Yishui Central Hospital, Linyi, Shandong, China
| | - Fangjiang Xu
- Department of Endocrine, Yishui Central Hospital, Linyi, Shandong, China
| | - Qun Li
- Department of Endocrine, Yishui Central Hospital, Linyi, Shandong, China
| | - Fenghua Zhang
- Department of Nursing, People's Hospital of Linyi City, NO. 27 of Jiefang Road, Linyi, 276000, Shandong, China.
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Differences in depression between unknown diabetes and known diabetes: results from China health and retirement longitudinal study. Int Psychogeriatr 2016; 28:1191-9. [PMID: 26926248 DOI: 10.1017/s104161021600020x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Both diabetes and depression have become serious public health problems and are major contributors to the global burden of disease. People with diabetes have been shown to have higher risk of depression. The purpose of this study was to observe the differences in depression between older Chinese adults with known or unknown diabetes. METHODS Data came from the national baseline survey of China Health and Retirement Longitudinal Study (CHARLS). The Center for Epidemiologic Studies Depression Scale was used to assess depression. Participants with a history of diabetes diagnosis were considered to have known diabetes, and those with newly-diagnosed diabetes were considered to have unknown diabetes. Multiple logistic regression analysis was applied to estimate odds ratio (OR) for depression in predictor variables. RESULTS Overall, 39.1% of the 2,399 participants with diabetes suffered from depression. The prevalence of depression was significantly higher (p < 0.001) in people with known diabetes (43.5%) than those with unknown diabetes (35.1%). The biggest differences between the two groups were found in the middle aged, in women, in the less educated and in married people. In known diabetes, people treated with traditional Chinese medicine (TCM) coupled with oral western medicine (WM) and/or insulin had two-fold odds of depression compared to those without treatment. CONCLUSION The knowledge of having diabetes, treatments and suffering from other chronic diseases were associated with the higher prevalence of depression in people with known diabetes compared to those with unknown diabetes. Prevention of depression in diabetics should receive more attention in the middle aged, women and the less education.
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