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Xu J, Bian Z, Zhang Y, Pan J, Gao F, Wang C, Jia W. Depressive symptoms in Chinese adults with risk factors for diabetes: the Shanghai High-Risk Diabetic Screen (SHiDS) study. Diabet Med 2021; 38:e14375. [PMID: 32745282 DOI: 10.1111/dme.14375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/10/2020] [Accepted: 07/27/2020] [Indexed: 12/25/2022]
Abstract
AIMS To evaluate the relationship between newly diagnosed diabetes or prediabetes and depressive symptoms among individuals with risk factors for diabetes in China. We also investigated the associations of depressive symptoms with pancreatic β-cell function and insulin resistance. METHODS We used cross-sectional data from the Shanghai High-Risk Diabetic Screen (SHiDS) project. Between 2014 and 2017, a total of 1728 participants were enrolled in this study and underwent an oral glucose tolerance test to screen for diabetes and prediabetes. Insulin resistance was evaluated using the homeostatic model assessment of insulin resistance and the modified Matsuda index. Pancreatic β-cell function was calculated using the homeostatic model assessment of β-cell function, Stumvoll first- and second-phase indexes. Elevated depressive symptoms were determined using the Patient Health Questionnaire-9 (PHQ-9 score ≥ 10). RESULTS The prevalence of elevated depressive symptoms in the total study population was 4.8% (83 of 1728). Compared with the normal glucose tolerance group, individuals with newly diagnosed diabetes were less likely to have elevated depressive symptoms even after controlling for potential confounders [adjusted odds ratio (OR) 0.35, 95% confidence interval (CI) 0.18-0.68; P = 0.002]. However, prediabetes was not associated with depressive symptoms. The odds for elevated depressive symptoms were increased in individuals with higher levels of the Stumvoll first-phase index. No association was observed between depressive symptoms and insulin resistance. CONCLUSION Elevated depressive symptoms were less prevalent in Chinese individuals with newly diagnosed diabetes among a high-risk population for diabetes.
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Affiliation(s)
- J Xu
- Department of Health Statistics, Second Military Medical University, Shanghai, China
| | - Z Bian
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Y Zhang
- Metabolic Diseases Biobank, Shanghai, China
| | - J Pan
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - F Gao
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - C Wang
- Department of Endocrinology, Shanghai, China
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Shanghai, China
- Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - W Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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Jung A, Du Y, Nübel J, Busch MA, Heidemann C, Scheidt-Nave C, Baumert J. Are depressive symptoms associated with quality of care in diabetes? Findings from a nationwide population-based study. BMJ Open Diabetes Res Care 2021; 9:e001804. [PMID: 33753346 PMCID: PMC7986897 DOI: 10.1136/bmjdrc-2020-001804] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 01/08/2021] [Accepted: 01/18/2021] [Indexed: 01/14/2023] Open
Abstract
INTRODUCTION We investigated whether the presence of depressive symptoms among adults with diagnosed diabetes is associated with adverse quality of diabetes care. RESEARCH DESIGN AND METHODS The study population was drawn from the German national health survey 'German Health Update' 2014/2015-European Health Interview Survey and included 1712 participants aged ≥18 years with self-reported diabetes during the past 12 months. Depressive symptoms in the past 2 weeks were assessed by the eight-item depression module of the Patient Health Questionnaire (PHQ-8), with PHQ-8 sum score values ≥10 indicating current depressive symptoms. We selected 12 care indicators in diabetes based on self-reported information on care processes and outcomes. Associations of depressive symptoms with those indicators were examined in multivariable logistic regression models with stepwise adjustments. RESULTS Overall, 15.6% of adults with diagnosed diabetes reported depressive symptoms, which were higher in women than in men (18.7% vs 12.9%). Adjusted for age, sex, education, social support, health-related behaviors, and diabetes duration, adults with depressive symptoms were more likely to report acute hypoglycemia (OR 1.81, 95% CI 1.13 to 2.88) or hyperglycemia (OR 2.10, 95% CI 1.30 to 3.37) in the past 12 months, long-term diabetes complications (OR 2.30, 95% CI 1.55 to 3.39) as well as currently having a diet plan (OR 2.14, 95% CI 1.39 to 3.29) than adults without depressive symptoms. Significant associations between depressive symptoms and other care indicators were not observed. CONCLUSIONS The present population-based study of adults with diagnosed diabetes indicates an association between depressive symptoms and adverse diabetes-specific care with respect to outcome but largely not to process indicators. Our findings underline the need for intensified care for persons with diabetes and depressive symptoms. Future research needs to identify underlying mechanisms with a focus on the inter-relationship between diabetes, depression and diabetes-related distress.
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Affiliation(s)
- Andreas Jung
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
- Berlin School of Public Health, Charite Universitatsmedizin Berlin, Berlin, Germany
| | - Yong Du
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Julia Nübel
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Markus A Busch
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Christin Heidemann
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Christa Scheidt-Nave
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Jens Baumert
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
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Du Y, Baumert J, Paprott R, Teti A, Heidemann C, Scheidt-Nave C. Factors associated with undiagnosed type 2 diabetes in Germany: results from German Health Interview and Examination Survey for Adults 2008-2011. BMJ Open Diabetes Res Care 2020; 8:e001707. [PMID: 33067247 PMCID: PMC7569997 DOI: 10.1136/bmjdrc-2020-001707] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 09/01/2020] [Accepted: 09/05/2020] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION To identify characteristics of people with undiagnosed type 2 diabetes (T2D) among adults in Germany. RESEARCH DESIGN AND METHODS The study population comprised participants aged 40-79 years of the German Health Interview and Examination Survey for Adults 2008-2011. Glycemic status was categorized as undiagnosed T2D (glycated hemoglobin A1c (HbA1c) ≥48 mmol/mol (6.5%), n=135), diagnosed T2D (n=518) and normoglycemia (HbA1c<48 mmol/mol (6.5%), n=4451). Multinomial logistic regression models including glycemic status as the outcome variable and sociodemographic characteristics, living alone, diabetes risk factors and healthcare services utilization as independent variables were used to identify factors associated with undiagnosed T2D compared with normoglycemia and diagnosed T2D. Odds ratios (ORs) and 95% confidence intervals (CIs) are reported as measure of association between the outcome and independent variables. RESULTS The prevalence of undiagnosed T2D was 2.9% (95% CI 2.2% to 3.9%) at an overall prevalence of 12.3% (11.0% to 13.6%) of persons with undiagnosed or diagnosed T2D. In multivariable analyses, factors associated with undiagnosed as well as diagnosed T2D in comparison to normoglycemia were older age (OR 1.04, 95% CI 1.01 to 1.06, per year, for undiagnosed T2D; OR 1.08, 1.07 to 1.10 for diagnosed T2D), male sex (3.33, 2.18 to 5.07; 1.91, 1.43 to 2.56), obesity (3.47, 2.17 to 5.56; 2.68, 2.04 to 3.52), hypertension (1.66, 1.09 to 2.53; 2.04, 1.42 to 2.95) and parental history of diabetes (2.04, 1.24 to 3.35; 3.16, 2.30 to 4.34). Variables independently associated with undiagnosed T2D but not diagnosed T2D included living alone (2.20; 1.36 to 3.56) and not seeing a doctor within the past year (2.57; 1.34 to 4.93). People with undiagnosed T2D were further younger and more likely to be male sex and reside in the western part of Germany than people with diagnosed T2D. CONCLUSION Apart from major known risk factors of diabetes, characteristics specific to undiagnosed diabetes among adults in Germany will serve to inform the national education and communication strategy on diabetes mellitus in Germany.
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Affiliation(s)
- Yong Du
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Jens Baumert
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Rebecca Paprott
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Andrea Teti
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
- Institute for Gerontology, University of Vechta, Vechta, Lower Saxony, Germany
| | - Christin Heidemann
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Christa Scheidt-Nave
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
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Klimek A, Baerwald C, Schwarz M, Rutsch F, Parhofer KG, Plöckinger U, Heddrich-Ellerbrok M, Vom Dahl S, Schöne K, Ott M, Lang F, Hennermann JB. Everyday Life, Dietary Practices, and Health Conditions of Adult PKU Patients: A Multicenter, Cross-Sectional Study. ANNALS OF NUTRITION AND METABOLISM 2020; 76:251-258. [PMID: 32998147 DOI: 10.1159/000510260] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 07/16/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Only few data on dietary management of adult phenylketonuria (PKU) patients are published. OBJECTIVES This study aimed to assess living situation, dietary practices, and health conditions of early-treated adult PKU patients. METHODS A total of 183 early-treated PKU patients ≥18 years from 8 German metabolic centers received access to an online survey, containing 91 questions on sociodemographic data, dietary habits, and health conditions. RESULTS 144/183 patients (66% females) completed the questionnaire. Compared with German population, the proportion of single-person households was higher (22 vs. 47%), the rate of childbirth was lower (1.34 vs. 0.4%), but educational and professional status did not differ. 82% of the patients adhered to a low-protein diet, 45% consumed modified low-protein food almost daily, and 84% took amino acid mixtures regularly. 48% of the patients never interrupted diet, and 14% stopped diet permanently. 69% of the patients reported to feel better with diet, and 91% considered their quality of life at least as good. The prevalence of depressive symptoms was high (29%) and correlated significantly to phenylalanine blood concentrations (p = 0.046). However, depressive symptoms were only mild in the majority of patients. CONCLUSION This group of early-treated adult German PKU patients is socially well integrated, reveals a surprisingly high adherence to diet and amino acid intake, and considers the restrictions of diet to their daily life as low.
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Affiliation(s)
- Annemarie Klimek
- Villa Metabolica, Department of Pediatric and Adolescent Medicine, University Medical Center Mainz, Mainz, Germany
| | - Christoph Baerwald
- Rheumatology Unit, Department of Internal Medicine, Neurology and Dermatology, University Medical Center Leipzig, Leipzig, Germany
| | - Martin Schwarz
- Practice Cooperation and Training Practice Kaarst, Kaarst, Germany
| | - Frank Rutsch
- Department of Pediatrics, University Medical Center Münster, Münster, Germany
| | - Klaus G Parhofer
- Medical Department IV - Grosshadern, University Munich, Munich, Germany
| | - Ursula Plöckinger
- Interdisciplinary Center of Metabolism: Endocrinology, Diabetes and Metabolism, Charité University Medicine Berlin, Berlin, Germany
| | | | - Stephan Vom Dahl
- Department for Gastroenterology, Hepatology and Infectious Diseases, University Medical Center Düsseldorf, Düsseldorf, Germany
| | - Klaus Schöne
- Institute for Teachers' Health, University Medical Center Mainz, Mainz, Germany
| | - Markus Ott
- Nutricia GmbH, Metabolics Expert Centre DACH, Frankfurt, Germany
| | - Frauke Lang
- Villa Metabolica, Department of Pediatric and Adolescent Medicine, University Medical Center Mainz, Mainz, Germany
| | - Julia B Hennermann
- Villa Metabolica, Department of Pediatric and Adolescent Medicine, University Medical Center Mainz, Mainz, Germany,
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Pouwer F, Schram MT, Iversen MM, Nouwen A, Holt RIG. How 25 years of psychosocial research has contributed to a better understanding of the links between depression and diabetes. Diabet Med 2020; 37:383-392. [PMID: 31909844 DOI: 10.1111/dme.14227] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/03/2020] [Indexed: 12/23/2022]
Abstract
This narrative review of the literature provides a summary and discussion of 25 years of research into the complex links between depression and diabetes. Systematic reviews have shown that depression occurs more frequently in people with type 1 or type 2 diabetes compared with people without diabetes. Currently, it remains unclear whether depression is also more common in people with impaired glucose metabolism or undiagnosed type 2 diabetes compared with people without diabetes. More prospective epidemiological research into the course of depression and an exploration of mechanisms in individuals with diabetes are needed. Depression in diabetes is associated with less optimal self-care behaviours, suboptimal glycaemic control, impaired quality of life, incident micro- and macrovascular diseases, and elevated mortality rates. Randomized controlled trails concluded that depression in diabetes can be treated with antidepressant medication, cognitive-behavioural therapy (individual, group-based or web-based), mindfulness-based cognitive therapy and stepped care. Although big strides forward have been made in the past 25 years, scientific evidence about depression in diabetes remains incomplete. Future studies should investigate mechanisms that link both conditions and test new diabetes-specific web- or app-based interventions for depression in diabetes. It is important to determine whether treatment or prevention of depression prevents future diabetes complications and lowers mortality rates.
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Affiliation(s)
- F Pouwer
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- STENO Diabetes Center Odense, Odense, Denmark
- School of Psychology, Deakin University, Geelong, Australia
| | - M T Schram
- Department of Internal Medicine, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Heart and Vascular Centre, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - M M Iversen
- Department of Health and Social Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - A Nouwen
- Department of Psychology, Middlesex University, London
| | - R I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Khaledi M, Haghighatdoost F, Feizi A, Aminorroaya A. The prevalence of comorbid depression in patients with type 2 diabetes: an updated systematic review and meta-analysis on huge number of observational studies. Acta Diabetol 2019; 56:631-650. [PMID: 30903433 DOI: 10.1007/s00592-019-01295-9] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 02/02/2019] [Indexed: 02/06/2023]
Abstract
AIMS Depression is a common co-morbidity in patients with type 2 diabetes mellitus (T2DM). Untreated depression in these patients adversely affects self-care activities and other diabetes complications. The aim of this study is to estimate the prevalence of depression among patients with T2DM by conducting a meta-analysis of observational studies. METHODS MEDLINE, Web of Science, Science Direct, and Google Scholar databases were searched for all observational studies that assessed depression in T2DM. Relevant articles were searched using the combination of Medical Subject Heading (MeSH) terms of "depression", "depressive disorder", and "diabetes mellitus" published between January 2007 and July 2018. Random effects model was used to estimate the weighted prevalence rates and 95% CI using "metaprop program in STATA 11". RESULTS In total, the 248 included studies (with 273 reported prevalence) identified 83,020,812 participants; of them, 23,245,827 (28%; 95% CI 27, 29) suffered from different severity levels of depressive disorders. The prevalence of depression was separately reported in 137,372 males and 134,332 females. Of them, 31,396 males (23%, 95% CI: 20, 26) and 45,673 females (34%, 95% CI: 31, 38) were depressed. Compared with global estimate, depression prevalence was lower in Europe (24%) and Africa (27%), but higher in Australia (29%) and Asia (32%). The prevalence in America was equal to the estimated prevalence in the world (28%). Depression was more common in subjects younger than 65 compared with elderlies (31% vs. 21%). CONCLUSION Our findings demonstrated that almost one in four adults with T2DM experienced depression. Given the high prevalence of depressive disorders in diabetic patients, screening these patients for co-morbid depression and its relevant risk factors is highly recommended.
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Affiliation(s)
- Mohammad Khaledi
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fahimeh Haghighatdoost
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Awat Feizi
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Biostatistics and Epidemiology Department, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ashraf Aminorroaya
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
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Schmidt C, Du Y, Baumert J, Reitzle L, Heidemann C, Paprott R, Ziese T, Scheidt-Nave C. Diabetes im Blick – Nationale Diabetes-Surveillance. DIABETOLOGE 2019. [DOI: 10.1007/s11428-018-0419-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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