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Yang Y, Zhang X, Zhang Y, Zhao J, Jia J, Liu H, Song S. Metformin treatment improves depressive symptoms associated with type 2 diabetes: A 24-week longitudinal study. J Affect Disord 2024; 365:80-86. [PMID: 39147157 DOI: 10.1016/j.jad.2024.08.071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/23/2024] [Accepted: 08/12/2024] [Indexed: 08/17/2024]
Abstract
OBJECTIVE Metformin is a medication that is widely used for lowering blood sugar in patients with type 2 diabetes. Metformin was shown to have significant antidepressant effects; however, it is not clear whether metformin treatment improves outcomes in patients with type 2 diabetes who have concomitant depressive symptoms. METHODS A total of 475 patients with type 2 diabetes mellitus with depressive symptoms were included in this study and divided into metformin and nonmetformin groups according to whether they were taking metformin. The DASS-21 was used to assess patients' depression and anxiety scores before and after a 24-week intervention. In addition, general information about whether the patients had developed complications from diabetes and whether they had been diagnosed with other diseases was assessed. RESULTS (1) After 24 weeks, anxiety and depression scores were significantly lower in the metformin group than in the nonmetformin group. (2) The prevalence of depressive symptoms was significantly greater in female type 2 diabetic patients than in male patients (OR = 2.039, 95 % CI = 1.160-3.568). (3) People with type 2 diabetes who develop complications from diabetes (OR = 1.794, 95 % CI = 1.015-3.171) and those diagnosed with other conditions are more likely to experience depressive symptoms. CONCLUSION Metformin has an ameliorative effect on type 2 diabetes. However, women, those with diabetes complications, and those with type 2 diabetes who are also diagnosed with other conditions are more likely to experience depressive symptoms.
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Affiliation(s)
- Yating Yang
- The Second People's Hospital of Huizhou, Huizhou 512200, Guangdong, China
| | - Xi Zhang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei 238000, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 238000, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 23800, China
| | - Yun Zhang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei 238000, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 238000, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 23800, China
| | - Jianyong Zhao
- Department of Endocrinology, Chaohu Hospital of Anhui Medical University, Hefei 238000, China
| | - Jingfang Jia
- Department of Endocrinology, Chaohu Hospital of Anhui Medical University, Hefei 238000, China
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei 238000, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 23800, China.
| | - Suqi Song
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei 238000, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 23800, China.
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Watanabe M, Reynolds EL, Banerjee M, Charles M, Mizokami-Stout K, Albright D, Ang L, Lee JM, Pop-Busui R, Feldman EL, Callaghan BC. Bidirectional Associations Between Mental Health Disorders and Chronic Diabetic Complications in Individuals With Type 1 or Type 2 Diabetes. Diabetes Care 2024; 47:1638-1646. [PMID: 39008530 PMCID: PMC11362112 DOI: 10.2337/dc24-0818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Accepted: 06/15/2024] [Indexed: 07/17/2024]
Abstract
OBJECTIVE To determine bidirectional associations between the timing of chronic diabetes complications (CDCs) and mental health disorders (MHDs) in individuals with type 1 or type 2 diabetes. RESEARCH DESIGN AND METHODS We used a nationally representative health care claims database to identify matched individuals with type 1 or 2 diabetes or without diabetes using a propensity score quasirandomization technique stratified by age (0-19, 20-39, 40-59, and ≥60 years). CDCs and MHDs were identified using ICD-9/10 codes. We fit Cox proportional hazards models with time-varying diagnoses of CDCs or MHDs to investigate their association with the hazard of developing MHDs or CDCs, respectively. RESULTS From 2001 to 2018, a total of 553,552 individuals were included (44,735 with type 1 diabetes, 152,187 with type 2 diabetes, and 356,630 without diabetes). We found that having a CDC increased the hazard of developing an MHD (hazard ratio [HR] 1.9-2.9; P < 0.05, with higher HRs in older age strata), and having an MHD increased the hazard of developing a CDC (HR 1.4-2.5; P < 0.05, with the highest HR in age stratum 0-19 years). In those aged <60 years, individuals with type 1 diabetes were more likely to have CDCs, whereas individuals with type 2 diabetes were more likely to have MHDs. However, the relationship between CDCs and MHDs in either direction was not affected by diabetes type (P > 0.05 for interaction effects). CONCLUSIONS We found a consistent bidirectional association between CDCs and MHDs across the life span, highlighting the important relationship between CDCs and MHDs. Prevention and treatment of either comorbidity may help reduce the risk of developing the other.
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Affiliation(s)
- Maya Watanabe
- Department of Biostatistics, University of Michigan, Ann Arbor, MI
| | - Evan L. Reynolds
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI
| | - Mousumi Banerjee
- Department of Biostatistics, University of Michigan, Ann Arbor, MI
| | - Morten Charles
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Kara Mizokami-Stout
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Dana Albright
- Department of Health Services and Informatics Research, Parkview Health, Fort Wayne, IN
| | - Lynn Ang
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Joyce M. Lee
- Susan B. Meister Child Health Evaluation and Research Center, Division of Pediatric Endocrinology, Department of Pediatrics, University of Michigan, Ann Arbor, MI
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Eva L. Feldman
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI
| | - Brian C. Callaghan
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI
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Barnard-Kelly K, Marrero D, de Wit M, Pouwer F, Khunti K, Hermans N, Pierce JS, Laffel L, Holt RIG, Battelino T, Naranjo D, Fosbury J, Fisher L, Polonsky W, Weissberg-Benchell J, Hood KK, Schnell O, Messer LH, Danne T, Nimri R, Skovlund SE, Mader JK, Sherr JL, Schatz D, O'Neill S, Doble E, Town M, Lange K, de Beaufort C, Gonder-Frederick L, Jaser SS, Liberman A, Klonoff D, ElSayed NA, Bannuru RR, Parkin CG, Snoek F. Towards the standardisation of adult person-reported outcome domains in diabetes research: A Consensus Statement development panel. Diabet Med 2024; 41:e15332. [PMID: 38751219 DOI: 10.1111/dme.15332] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/26/2024] [Accepted: 04/08/2024] [Indexed: 07/23/2024]
Abstract
Diabetes is unique among chronic diseases because clinical outcomes are intimately tied to how the person living with diabetes reacts to and implements treatment recommendations. It is further characterised by widespread social stigma, judgement and paternalism. This physical, social and psychological burden collectively influences self-management behaviours. It is widely recognised that the individual's perspective about the impact of trying to manage the disease and the burden that self-management confers must be addressed to achieve optimal health outcomes. Standardised, rigorous assessment of mental and behavioural health status, in interaction with physical health outcomes is crucial to aid understanding of person-reported outcomes (PROs). Whilst tempting to conceptualise PROs as an issue of perceived quality of life (QoL), in fact health-related QoL is multi-dimensional and covers indicators of physical or functional health status, psychological and social well-being. This complexity is illuminated by the large number of person reported outcome measures (PROMs) that have been developed across multiple psychosocial domains. Often measures are used inappropriately or because they have been used in the scientific literature rather than based on methodological or outcome assessment rigour. Given the broad nature of psychosocial functioning/mental health, it is important to broadly define PROs that are evaluated in the context of therapeutic interventions, real-life and observational studies. This report summarises the central themes and lessons derived in the assessment and use of PROMs amongst adults with diabetes. Effective assessment of PROMs routinely in clinical research is crucial to understanding the true impact of any intervention. Selecting appropriate measures, relevant to the specific factors of PROs important in the research study will provide valuable data alongside physical health data.
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Affiliation(s)
| | | | | | - Frans Pouwer
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Odense, Odense, Denmark
- Department of Medical Psychology, Amsterdam UMC, Amsterdam, The Netherlands
| | | | - Norbert Hermans
- Research Institute of the Diabetes Academy Mergentheim (FIDAM), Mergentheim, Germany
| | - Jessica S Pierce
- Center for Healthcare Delivery Science, Nemours Children's Hospital, Orlando, Florida, USA
| | - Lori Laffel
- Joslin Diabetes Center, Boston, Massachusetts, USA
| | | | - Tadej Battelino
- Faculty of Medicine, University Medical Center Ljubljana, University of Ljubljana, Ljubljana, Slovenia
| | - Diana Naranjo
- Stanford University School of Medicine, San Francisco, California, USA
| | | | - Lawrence Fisher
- University of California San Francisco, San Francisco, California, USA
| | | | - Jill Weissberg-Benchell
- Pritzker Department of Psychiatry and Behavioral Health, Northwestern University Feinberg School of Medicine, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Korey K Hood
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University School of Medicine, Palo Alto, California, USA
| | | | - Laurel H Messer
- Barbara Davis Center, University of Colorado, Boulder, Colorado, USA
- Tandem Diabetes Care, San Diego, California, USA
| | - Thomas Danne
- Diabetes-Center for Children and Adolescents, Hannover, Germany
| | - Revital Nimri
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Israel and Sacker Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | | | - Julia K Mader
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Jennifer L Sherr
- Department of Pediatrics, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Desmond Schatz
- Diabetes Institute, University of Florida College of Medicine, Gainesville, Florida, USA
- American Diabetes Association, Gainesville, Florida, USA
| | | | | | - Marissa Town
- Children with Diabetes, Cincinnati Children's Hospital, Cincinnati, Ohio, USA
| | - Karin Lange
- Hannover Medical School, Department Medical Psychology, Hannover, Germany
| | - Carine de Beaufort
- Centre Hospitalier de Luxembourg, GD de Luxembourg, Technology and Medicine, University of Luxembourg, Luxembourg, Belgium
| | - Linda Gonder-Frederick
- Center for Diabetes Technology, Center for Behavioral Health and Technology, Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Sarah S Jaser
- Vanderbilt University Medical Center, Department of Pediatrics, Nashville, Tennessee, USA
| | - Alon Liberman
- Jesse Z. and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikvah, Israel
| | - David Klonoff
- Mills-Peninsula Medical Center, San Mateo, California, USA
| | - Nuha A ElSayed
- Health Care Improvement, American Diabetes Association, Arlington, Virginia, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Raveendhara R Bannuru
- Medical Affairs and QI Outcomes, American Diabetes Association, Arlington, Virginia, USA
| | | | - Frank Snoek
- Amsterdam UMC, Vrije Universiteit Amsterdam, Medical Psychology, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health, Amsterdam, The Netherlands
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Nunes PV, Mancine L, Neves BA, Leite REP, Nascimento C, Pasqualucci CA, Lafer B, Salvini R, Suemoto CK. Causes of death in individuals with lifetime major depression: a comprehensive machine learning analysis from a community-based autopsy center. BMC Psychiatry 2024; 24:531. [PMID: 39048987 PMCID: PMC11271064 DOI: 10.1186/s12888-024-05946-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 07/04/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Depression can be associated with increased mortality and morbidity, but no studies have investigated the specific causes of death based on autopsy reports. Autopsy studies can yield valuable and detailed information on pathological ailments or underreported conditions. This study aimed to compare autopsy-confirmed causes of death (CoD) between individuals diagnosed with major depressive disorder (MDD) and matched controls. We also analyzed subgroups within our MDD sample, including late-life depression and recurrent depression. We further investigated whether machine learning (ML) algorithms could distinguish MDD and each subgroup from controls based on their CoD. METHODS We conducted a comprehensive analysis of CoD in individuals who died from nontraumatic causes. The diagnosis of lifetime MDD was ascertained based on the DSM-5 criteria using information from a structured interview with a knowledgeable informant. Eleven established ML algorithms were used to differentiate MDD individuals from controls by simultaneously analyzing different disease category groups to account for multiple tests. The McNemar test was further used to compare paired nominal data. RESULTS The initial dataset included records of 1,102 individuals, among whom 232 (21.1%) had a lifetime diagnosis of MDD. Each MDD individual was strictly paired with a control non-psychiatric counterpart. In the MDD group, the most common CoD were circulatory (67.2%), respiratory (13.4%), digestive (6.0%), and cancer (5.6%). Despite employing a range of ML models, we could not find distinctive CoD patterns that could reliably distinguish individuals with MDD from individuals in the control group (average accuracy: 50.6%; accuracy range: 39-59%). These findings were consistent even when considering factors within the MDD group, such as late-life or recurrent MDD. When comparing groups with paired nominal tests, no differences were found for circulatory (p=0.450), respiratory (p=0.790), digestive (p=1.000), or cancer (p=0.855) CoD. CONCLUSIONS Our analysis revealed that autopsy-confirmed CoD exhibited remarkable similarity between individuals with depression and their matched controls, underscoring the existing heterogeneity in the literature. Future research should prioritize more severe manifestations of depression and larger sample sizes, particularly in the context of CoD related to cancer.
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Affiliation(s)
- Paula Villela Nunes
- Faculdade de Medicina de Jundiai, rua Francisco Telles, 250, Jundiai, SP, 13202-550, Brazil.
- Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo, 455, Sao Paulo, SP, 01246-903, Brazil.
| | - Livia Mancine
- Instituto de Informatica Universidade Federal de Goias, Alameda Palmeiras, s/n, Goiania, GO, 74690-900, Brazil
- Instituto Federal Goiano, Campus Ceres, GO-154, km 218, zip, Ceres, GO, 76300-000, Brazil
| | - Beatriz Astolfi Neves
- Faculdade de Medicina de Jundiai, rua Francisco Telles, 250, Jundiai, SP, 13202-550, Brazil
| | | | - Camila Nascimento
- Federal University of Sao Paulo, rua Pedro de Toledo, 669, Sao Paulo, SP, 04039-032, Brazil
| | - Carlos Augusto Pasqualucci
- Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo, 455, Sao Paulo, SP, 01246-903, Brazil
| | - Beny Lafer
- Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo, 455, Sao Paulo, SP, 01246-903, Brazil
| | - Rogerio Salvini
- Instituto de Informatica Universidade Federal de Goias, Alameda Palmeiras, s/n, Goiania, GO, 74690-900, Brazil
| | - Claudia Kimie Suemoto
- Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo, 455, Sao Paulo, SP, 01246-903, Brazil
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Shamim MA, Shukla R, Swami MK, Srivastav S, Pradhan A, Yadav SS, Anil A, Saravanan A, Varthya SB, Singh S, Dwivedi P. Targeting self-care adherence for glycaemic control in multimorbid type 2 diabetes mellitus with depression using bupropion: a protocol for cross-over randomised controlled trial. BMJ Open 2024; 14:e077975. [PMID: 38834315 PMCID: PMC11163640 DOI: 10.1136/bmjopen-2023-077975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 05/21/2024] [Indexed: 06/06/2024] Open
Abstract
INTRODUCTION Diabetes and depression are among the 10 biggest health burdens globally. They often coexist and exhibit a strong bidirectional relationship. Depression leads to decreased adherence to self-care activities. This impacts glycaemic control and worsens type 2 diabetes mellitus (T2D). Both conditions have a synergistic effect and lead to greater complications, hospitalisations, healthcare expenditure and a worse quality of life. There is no consensus on managing people with comorbid T2D and depression. Bupropion is an efficacious antidepressant with many properties suitable for T2D with depression, including a favourable metabolic profile, persistent weight loss and improvement in sexual dysfunction. We will assess the efficacy and safety of add-on bupropion compared with standard care in people with T2D and mild depression. This study can give valuable insights into managing the multimorbidity of T2D and depression. This can help mitigate the health, social and economic burden of both these diseases. RESEARCH DESIGN AND METHODS This cross-over randomised controlled trial will recruit people with T2D (for 5 years or more) with mild depression. They will be randomised to add-on bupropion and standard care. After 3 months of treatment, there will be a washout period of 1 month (without add-on bupropion while standard treatment will continue). Following this, the two arms will be swapped. Participants will be assessed for glycosylated haemoglobin, adherence to diabetes self-care activities, lipid profile, urine albumin-to-creatinine ratio, autonomic function, sexual function, quality of life and adverse events. ETHICS AND DISSEMINATION The Institutional Ethics Committee at All India Institute of Medical Sciences, Jodhpur has approved this study (AIIMS/IEC/2022/4172, 19 September 2022). We plan to disseminate the research findings via closed group discussions at the site of study, scientific conferences, peer-reviewed published manuscripts and social media. TRIAL REGISTRATION NUMBER CTRI/2022/10/046411.
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Affiliation(s)
- Muhammad Aaqib Shamim
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Ravindra Shukla
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Mukesh Kumar Swami
- Department of Psychiatry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Shival Srivastav
- Department of Physiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Anindita Pradhan
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Suraj Singh Yadav
- Centre of Excellence for Tribal Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
- School of Pharmacy, National Forensic Sciences University, Gandhinagar, Gujarat, India
| | - Abhishek Anil
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Aswini Saravanan
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Shoban Babu Varthya
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Surjit Singh
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Pradeep Dwivedi
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
- Centre of Excellence for Tribal Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
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Ter Braake JG, Fleetwood KJ, Vos RC, Blackbourn L, McGurnaghan SJ, Wild SH, Jackson CA. Cardiovascular risk management among individuals with type 2 diabetes and severe mental illness: a cohort study. Diabetologia 2024; 67:1029-1039. [PMID: 38409440 PMCID: PMC11058755 DOI: 10.1007/s00125-024-06111-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/09/2024] [Indexed: 02/28/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to compare cardiovascular risk management among people with type 2 diabetes according to severe mental illness (SMI) status. METHODS We used linked electronic data to perform a retrospective cohort study of adults diagnosed with type 2 diabetes in Scotland between 2004 and 2020, ascertaining their history of SMI from hospital admission records. We compared total cholesterol, systolic BP and HbA1c target level achievement 1 year after diabetes diagnosis, and receipt of a statin prescription at diagnosis and 1 year thereafter, by SMI status using logistic regression, adjusting for sociodemographic factors and clinical history. RESULTS We included 291,644 individuals with type 2 diabetes, of whom 1.0% had schizophrenia, 0.5% had bipolar disorder and 3.3% had major depression. People with SMI were less likely to achieve cholesterol targets, although this difference did not reach statistical significance for all disorders. However, people with SMI were more likely to achieve systolic BP targets compared to those without SMI, with effect estimates being largest for schizophrenia (men: adjusted OR 1.72; 95% CI 1.49, 1.98; women: OR 1.64; 95% CI 1.38, 1.96). HbA1c target achievement differed by SMI disorder and sex. Among people without previous CVD, statin prescribing was similar or better in those with vs those without SMI at diabetes diagnosis and 1 year later. In people with prior CVD, SMI was associated with lower odds of statin prescribing at diabetes diagnosis (schizophrenia: OR 0.54; 95% CI 0.43, 0.68, bipolar disorder: OR 0.75; 95% CI 0.56, 1.01, major depression: OR 0.92; 95% CI 0.83, 1.01), with this difference generally persisting 1 year later. CONCLUSIONS/INTERPRETATION We found disparities in cholesterol target achievement and statin prescribing by SMI status. This reinforces the importance of clinical review of statin prescribing for secondary prevention of CVD, particularly among people with SMI.
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Affiliation(s)
- Jonne G Ter Braake
- Department of Public Health and Primary Care, Leiden University Medical Centre, The Hague, the Netherlands
| | | | - Rimke C Vos
- Department of Public Health and Primary Care, Leiden University Medical Centre, The Hague, the Netherlands
| | - Luke Blackbourn
- MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Sarah H Wild
- Usher Institute, University of Edinburgh, Edinburgh, UK
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Busili A, Kumar K, Kudrna L, Busaily I. The risk factors for mental health disorders in patients with type 2 diabetes: An umbrella review of systematic reviews with and without meta-analysis. Heliyon 2024; 10:e28782. [PMID: 38617916 PMCID: PMC11015102 DOI: 10.1016/j.heliyon.2024.e28782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 04/16/2024] Open
Abstract
Background Patients with type 2 diabetes have a nearly twofold higher rate of diagnosed mental disorders than those without diabetes. The association between type 2 diabetes and mental disorders is well established in the literature and recognized as a bidirectional relationship. This study aims to conduct an umbrella review of risk and protective factors for mental health disorders in patients with type 2 diabetes and assess the credibility of the evidence for the association between each factor and mental health disorders. Methods A comprehensive search was conducted of Medline via PubMed, Web of Science, EMBASE, CINHAL, and PsycINFO from inception to November 17, 2022, to identify systematic reviews with and without meta-analyses examining associations of factors with mental health disorders in patients with type 2 diabetes. For each association, we recalculated the summary effect size and 95% confidence intervals using random-effects models. We also reported the 95% prediction interval and between-group heterogeneity. Results The study included 11 systematic reviews that met the inclusion criteria, comprising eight meta-analyses and three without meta-analyses. This involved approximately 489,930 participants and encompassed 26 unique factors. Six factors were rated as having suggestive evidence at the Class III level. These factors were obesity (n = 18,456, OR 1.75 [1.2 to 2.59], I2 97.7%), neuropathy (n = 3898, OR 2.01 [1.60 to 2.54], I2 44.5%), diabetes complications (n = 1769, OR 1.90 [1.53 to 2.36], I2 39.3%), peripheral blood concentrations of CRP (n = 1742, SMD 0.31 [0.16 to 0.45], I2 84.1%), female sex (n = 35,162, OR 1.36 [1.19 to 1.54], I2 64.5%), and social support (n = 3151, OR 2.02 [1.51 to 2.70], I2 87.2%). Conclusions Several factors associated with mental health disorders in patients with type 2 diabetes were identified with varying degrees of supporting evidence. Significantly, obesity, neuropathy, complications, peripheral blood CRP concentrations, female sex, and social support emerged with suggestive evidence. An investigation of these factors should be conducted to target interventions accordingly. It may be helpful to prioritize patients who have these risk factors as high-risk groups and to implement plans and policies to enhance support before mental health disorders occur.
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Affiliation(s)
- Amani Busili
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Kanta Kumar
- Institute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Laura Kudrna
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Idris Busaily
- Lecture, College of Dentistry, Jazan University, Jazan, Kingdom of Saudi Arabia
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8
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Yeung YL, Lee KL, Lau ESH, Yung TF, Yang A, Wu H, Wong KTC, Kong APS, Chow EYK, Ma RCW, Yeung T, Loo KM, Ozaki R, Luk AOY, Lui JNM, Chan JCN. Associations of comorbid depression with cardiovascular-renal events and all-cause mortality accounting for patient reported outcomes in individuals with type 2 diabetes: a 6-year prospective analysis of the Hong Kong Diabetes Register. Front Endocrinol (Lausanne) 2024; 15:1284799. [PMID: 38586459 PMCID: PMC10999250 DOI: 10.3389/fendo.2024.1284799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 02/29/2024] [Indexed: 04/09/2024] Open
Abstract
Background Psychosocial status and patient reported outcomes (PRO) [depression and health-related quality-of-life (HRQoL)] are major health determinants. We investigated the association between depression and clinical outcomes in Chinese patients with type 2 diabetes (T2D), adjusted for PRO. Methods Using prospective data from Hong Kong Diabetes Register (2013-2019), we estimated the hazard-ratio (HR, 95%CI) of depression (validated Patient Health Questionnaire 9 (PHQ-9) score≥7) with incident cardiovascular disease (CVD), ischemic heart disease (IHD), chronic kidney disease (CKD: eGFR<60 ml/min/1.73m2) and all-cause mortality in 4525 Chinese patients with T2D adjusted for patient characteristics, renal function, medications, self-care and HRQoL domains (mobility, self-care, usual activities, pain/discomfort, anxiety/depression measured by EQ-5D-3L) in linear-regression models. Results In this cohort without prior events [mean ± SD age:55.7 ± 10.6, 43.7% women, median (IQR) disease duration of 7.0 (2.0-13.0) years, HbA1c, 7.2% (6.6%-8.20%), 26.4% insulin-treated], 537(11.9%) patients had depressive symptoms and 1923 (42.5%) patients had some problems with HRQoL at baseline. After 5.6(IQR: 4.4-6.2) years, 141 patients (3.1%) died, 533(11.8%) developed CKD and 164(3.6%) developed CVD. In a fully-adjusted model (model 4) including self-care and HRQoL, the aHR of depression was 1.99 (95% confidence interval CI):1.25-3.18) for CVD, 2.29 (1.25-4.21) for IHD. Depression was associated with all-cause mortality in models 1-3 adjusted for demographics, clinical characteristics and self-care, but was attenuated after adjusting for HRQoL (model 4- 1.54; 95%CI: 0.91-2.60), though HR still indicated same direction with important magnitude. Patients who reported having regular exercise (3-4 times per week) had reduced aHR of CKD [0.61 (0.41-0.89)]. Item 4 of PHQ-9 (feeling tired, little energy) was independently associated with all-cause mortality with aHR of 1.66 (1.30-2.12). Conclusion Depression exhibits significant association with CVD, IHD, and all-cause mortality in patients with diabetes, adjusting for their HRQoL and health behaviors. Despite the association between depression and all-cause mortality attenuated after adjusting for HRQoL, the effect size remains substantial. The feeling of tiredness or having little energy, as assessed by item Q4 of the PHQ-9 questionnaire, was found to be significantly associated with an increased risk of all-cause mortality after covariate adjustments. Our findings emphasize the importance of incorporating psychiatric evaluations into holistic diabetes management.
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Affiliation(s)
- Yiu-Lam Yeung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Ka-Long Lee
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Eric SH. Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Tsun-Fung Yung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Kelly TC. Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Alice PS. Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Elaine YK. Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Ronald CW. Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Theresa Yeung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Kit-man Loo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Risa Ozaki
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Andrea OY. Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Juliana NM. Lui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
| | - Juliana CN. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, China
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9
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Highton P, Almaqhawi A, Oroko M, Sathanapally H, Gray L, Davies M, Webb D, Game F, Petrie J, Tesfaye S, Valabhji J, Gillies C, Khunti K. Non-pharmacological interventions to improve cardiovascular risk factors in people with diabetic foot disease: A systematic review and meta-analysis. Diabetes Res Clin Pract 2024; 209:111590. [PMID: 38403175 DOI: 10.1016/j.diabres.2024.111590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
Cardiovascular disease (CVD) risk in those with diabetic foot disease is very high. Non-pharmacological interventions may improve this risk, though no previous evidence synthesis has been completed. This systematic review aimed to investigate the impact of non-pharmacological interventions on CVD risk factors in diabetic ulcer disease. Multiple databases and trials registers were searched from inception to December 6th 2023. We included reports of randomised controlled trials investigating the impact of non-pharmacological interventions on cardiovascular risk in those with type 1 or type 2 diabetes and current or previous diabetic foot disease. Twenty studies were included. Extracted data included: study design and setting; participant sociodemographic factors; and change in cardiovascular risk factors. Data were synthesised using random effects meta-analyses and narrative syntheses. Interventions included nutritional supplementation, collaborative care, hyperbaric oxygen therapy, patient education, nurse-led intervention, self-management, family support, relaxation and exercise, over a median duration of 12 weeks. Significant post-intervention changes were observed in fasting plasma glucose, serum insulin levels, insulin sensitivity and resistance, glycated haemoglobin, triglycerides, total cholesterol, low-density lipoprotein-cholesterol and C-reactive protein. No effects were detected in very low- or high-density lipoprotein-cholesterol or body mass index. Non-pharmacological interventions show promise in improving CVD risk in diabetic foot disease.
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Affiliation(s)
- Patrick Highton
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; National Institute for Health and Care Research Applied Research Collaboration East Midlands, Leicester, UK.
| | - Abdullah Almaqhawi
- Department of Family and Community Medicine, College of Medicine, King Faisal University, Hofuf, Saudi Arabia
| | - Maroria Oroko
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Harini Sathanapally
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Laura Gray
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Melanie Davies
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - David Webb
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Frances Game
- Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Derby DE22 3NE, UK
| | - John Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Solomon Tesfaye
- Diabetes Research Unit, Royal Hallamshire Hospital, Sheffield S10 2JF, UK
| | - Jonathan Valabhji
- NHS England, Wellington House, 133-135 Waterloo Road, London SE1 8UG, UK; Department of Diabetes and Endocrinology, St Mary's Hospital, Imperial College Healthcare NHS Trust, The Bays, S Wharf Rd, Paddington, London W2 1NY, UK; Division of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington, London SW7 2BU, UK
| | - Clare Gillies
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; National Institute for Health and Care Research Applied Research Collaboration East Midlands, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; National Institute for Health and Care Research Applied Research Collaboration East Midlands, Leicester, UK
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10
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Schmitt A, Beran M, Geraets A, Iversen MM, Nefs G, Nouwen A, Pouwer F, Huber JW, Schram MT. Associations between HbA1c Reduction and Change in Depressive Symptoms following Glucose-lowering Treatment in Adults: A Systematic Review of Intervention Studies. Curr Diabetes Rev 2024; 20:e020623217607. [PMID: 37278034 DOI: 10.2174/1573399820666230602124223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 04/18/2023] [Accepted: 05/03/2023] [Indexed: 06/07/2023]
Abstract
INTRODUCTION Hyperglycemia constitutes a likely pathway linking diabetes and depressive symptoms; lowering glycemic levels may help reduce diabetes-comorbid depressive symptoms. Since randomized controlled trials can help understand temporal associations, we systematically reviewed the evidence regarding the potential association of hemoglobin HbA1c lowering interventions with depressive symptoms. METHODS PubMed, PsycINFO, CINAHL, and EMBASE databases were searched for randomized controlled trials evaluating HbA1c-lowering interventions and including assessment of depressive symptoms published between 01/2000-09/2020. Study quality was evaluated using the Cochrane Risk of Bias tool. PROSPERO registration: CRD42020215541. RESULTS We retrieved 1,642 studies of which twelve met our inclusion criteria. Nine studies had high and three unclear risks of bias. Baseline depressive symptom scores suggest elevated depressive symptoms in five studies. Baseline HbA1c was <8.0% (<64 mmol/mol) in two, 8.0-9.0% (64-75 mmol/mol) in eight, and ≥10.0% (≥86 mmol/mol) in two studies. Five studies found greater HbA1c reduction in the treatment group; three of these found greater depressive symptom reduction in the treatment group. Of four studies analyzing whether the change in HbA1c was associated with the change in depressive symptoms, none found a significant association. The main limitation of these studies was relatively low levels of depressive symptoms at baseline, limiting the ability to show a lowering in depressive symptoms after HbA1c reduction. CONCLUSIONS We found insufficient available data to estimate the association between HbA1c reduction and depressive symptom change following glucose-lowering treatment. Our findings point to an important gap in the diabetes treatment literature. Future clinical trials testing interventions to improve glycemic outcomes might consider measuring depressive symptoms as an outcome to enable analyses of this association.
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Affiliation(s)
- Andreas Schmitt
- Research Institute Diabetes Academy Mergentheim (FIDAM), Diabetes Center Mergentheim (DZM), Johann-Hammer- Straße 24, 97980 Bad Mergentheim, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Oberschleißheim, Germany
| | - Magdalena Beran
- Department of Internal Medicine, School for Cardiovascular Diseases (CARIM), Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| | - Anouk Geraets
- Department of Internal Medicine, School for Cardiovascular Diseases (CARIM), Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Department of Psychiatry and Neuropsychology, MHeNs School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands
| | - Marjolein M Iversen
- Faculty of Health and Social Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway
| | - Giesje Nefs
- Department of Medical and Clinical Psychology, Center of Research on Psychological and Somatic Disorders (CoRPS), Tilburg University, Warandelaan 2, 5037 AB Tilburg, The Netherlands
- Department of Medical Psychology, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein 27, 6525 EZ Nijmegen, The Netherlands
- Diabeter, National Treatment and Research Center for Children, Adolescents and Young Adults with Type 1 Diabetes, Blaak 6, 3011 TA Rotterdam, The Netherlands
| | - Arie Nouwen
- Department of Psychology, Middlesex University London, The Burroughs, London NW4 4BT, United Kingdom
- School of Health, Wellbeing and Social Care, The Open University, Walton Hall, Milton Keynes MK7 6AA, United Kingdom
| | - Frans Pouwer
- Department of Psychology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
- Steno Diabetes Center Odense (SDCO), Odense University Hospital, J. B. Winsløws Vej 4, 5000 Odense C, Denmark
| | - Jörg W Huber
- School of Sport and Health Sciences, University of Brighton, Westlain House, Brighton BN1 9PH, United Kingdom
| | - Miranda T Schram
- Department of Internal Medicine, School for Cardiovascular Diseases (CARIM), Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- Department of Psychiatry and Neuropsychology, MHeNs School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands
- Heart and Vascular Centre, Maastricht University Medical Center, Professor Debyelaan 25, 6229HX Maastricht, The Netherlands
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11
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Feng Z, Tong WK, Zhang X, Tang Z. Prevalence of depression and association with all-cause and cardiovascular mortality among individuals with type 2 diabetes: a cohort study based on NHANES 2005-2018 data. BMC Psychiatry 2023; 23:490. [PMID: 37430235 DOI: 10.1186/s12888-023-04999-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/04/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND Individuals with diabetes have increased risk of depression, but there are limited nationally representative studies on this topic. We aimed to investigate the prevalence and predictors of depression, as well as its impact on all-cause and cardiovascular mortality in adults with type 2 diabetes (T2DM) using a prospective cohort study and a representative sample of the U.S. POPULATION METHODS We analyzed National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018 and linked it with the most recent publicly available National Death Index (NDI) data. Individuals aged 20 years or old who had depression measurements were included. Depression was defined as a Patient Health Questionnaire (PHQ-9) score ≥ 10, and categorized into moderate (10-14 points) and moderately severe to severe (≥ 15 points). Cox proportional hazard models were used to estimate the association between depression and mortality. RESULTS Among 5695 participants with T2DM, 11.6% had depression. Depression was associated with female gender, younger age, overweight, lower education, being unmarried, smoking, and a history of coronary heart disease and stroke. During a mean follow-up period of 78.2 months, 1161 all-cause deaths occurred. Total depression and moderately severe to severe depression significantly increased all-cause mortality (adjusted hazard ratio [aHR] 1.36, 95% CI [1.09-1.70]; 1.67 [1.19-2.34]) and non-cardiovascular mortality (aHR 1.36, 95% CI [1.04-1.78]; 1.78, 95% CI [1.20-2.64]), but not cardiovascular mortality. Subgroup analysis showed a significant association between total depression and all-cause mortality in males (aHR 1.46, 95% CI [1.08-1.98]) and those aged 60 years or older (aHR 1.35, 95% CI [1.02-1.78]). Any severity of depression was not significantly associated with cardiovascular mortality in age- or gender- stratified subgroups. CONCLUSIONS In a nationally representative sample of U.S. adults with T2DM, approximately 10% experienced depression. Depression did not significantly associate with cardiovascular mortality. However, comorbid depression in T2DM patients increased the risk of all-cause and non-cardiovascular mortality. The impact of depression on mortality varied across subgroups. Therefore, healthcare providers should consider incorporating depression screening and management into routine care, especially for subgroups with specific risk factors, due to the increased risk of all-cause mortality in T2DM patients with depression.
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Affiliation(s)
- Zhen Feng
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, 826 Zhangheng Rd, Shanghai, 201203, China
- Department of Pharmacy, The Affiliated Hospital of Xuzhou Medical University, No. 99 Huaihai West Road, Xuzhou, 221002, China
| | - Wai Kei Tong
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, 826 Zhangheng Rd, Shanghai, 201203, China
| | - Xinyue Zhang
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, 826 Zhangheng Rd, Shanghai, 201203, China
| | - Zhijia Tang
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, 826 Zhangheng Rd, Shanghai, 201203, China.
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12
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Asim R, Asim M, Reddy R, Chepulis L, Lawrenson R. Screening for depression as part of annual diabetic review using PHQ-9 scores: a pilot study. Prim Health Care Res Dev 2023; 24:e43. [PMID: 37336764 DOI: 10.1017/s1463423623000294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023] Open
Abstract
Diabetes mellitus is associated with an increased risk of depression. Appropriate screening and treatment of depression may therefore support diabetes management in primary care. Study aim was to review the efficacy of using a Patient Health Questionnaire - (PHQ-9) tool to screen for depression in patients with type 2 diabetes mellitus (T2DM) in New Zealand.It was a cross-sectional study that included 100 consecutive patients with T2DM from two urban practices in Hamilton, New Zealand. Patients were screened using PHQ-9 scores.Using the PHQ-9, the overall prevalence of depression was 29% including 11 patients under active management/prescribing for depression and 18 undiagnosed patients. By ethnicity, depression affected 41.3%, 33.0%, 25.0% and 13.3% of NZ European, Māori, Pacific and other ethnicities, respectively. PHQ-9 scoring is an easy to administer tool that can be used to screen for unrecognized depression in patients with diabetes as a part of an annual diabetic review.
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Affiliation(s)
- Rabeeah Asim
- Medical Assistant at Tui Medical, Rototuna at Time of Data Collection, Taranaki Base Hospital,New Plymouth, New Zealand
| | - Muhammad Asim
- General Practitioner, GP at Tui Medical, Rototuna at Time of Data Collection, TuiOra Family Health, New Plymouth, New Zealand
| | - Rajah Reddy
- Waikato District Health Board, Hamilton, New Zealand
| | - Lynne Chepulis
- Waikato Medical Research Centre, Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
| | - Ross Lawrenson
- Waikato District Health Board, Hamilton, New Zealand
- Waikato Medical Research Centre, Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
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13
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Ahmed A, Zeng G, Azhar M, Wang F, Wang J, Fan B, Liu X, Jiang D, Wang Q. Combination of Shengmai San and Radix puerariae ameliorates depression-like symptoms in diabetic rats at the nexus of PI3K/BDNF/SYN protein expression. Animal Model Exp Med 2023; 6:211-220. [PMID: 37317044 PMCID: PMC10272924 DOI: 10.1002/ame2.12333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/03/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Hyperglycemia is a characteristic feature of diabetes that often results in neuropsychological complications such as depression. Diabetic individuals are more vulnerable to experience depression compared to the normal population. Thus, novel treatment approaches are required to reduce depressive symptoms among diabetic individuals. Traditional Chinese medicines (TCMs) such as Shengmai San (SMS) and Radix puerariae (R) are usually widely used to treat ailments such as neurological complications since ancient time. METHODS In this study, SMS was combined with R to prepare an R-SMS formulation and screened for their antidepressant activity in diabetic rats. The antidepressant potential of the prepared combination was evaluated behaviorally using open field test, novelty-induced hypophagia, and forced swim test in diabetic rats with biochemical and protein expression (PI3K, BDNF [brain-derived neurotrophic factor], and SYN [presynaptic vesicle protein]) analysis. RESULTS Diabetic rats (streptozotocin, 45 mg/kg) showed elevated fasting blood glucose (FBG) >12 mM with depressive symptoms throughout the study. Treatment with R-SMS (0.5, 1.5, and 4.5 g/kg) significantly reverted depressive symptoms in diabetic rats as evinced by significantly (p < 0.05) reduced immobility time with an increased tendency to eat food in a novel environment. Treatment with R-SMS also significantly increased the protein expression of PI3K, BDNF, and SYN protein, which play a crucial role in depression. CONCLUSION This study showed that R-SMS formulation antagonized depressive symptoms in diabetic rats; thus, this formulation might be studied further to develop as an antidepressant.
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Affiliation(s)
- Ayaz Ahmed
- Institute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijingChina
- Hunan Key Laboratory of Pharmacodynamics and Safety Evaluation of New Drugs & Hunan Provincial Research Center for Safety Evaluation of DrugsChangshaChina
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological SciencesUniversity of KarachiKarachiPakistan
| | - Guirong Zeng
- Hunan Key Laboratory of Pharmacodynamics and Safety Evaluation of New Drugs & Hunan Provincial Research Center for Safety Evaluation of DrugsChangshaChina
- Institute of Drug Discovery TechnologyNingbo UniversityNingboChina
- Research Center for Pharmacodynamic, Material Basis and Mechanism of ActionCollege of Pharmacy, Guizhou University of Traditional Chinese MedicineGuiyangChina
| | - Mudassar Azhar
- Hunan Key Laboratory of Pharmacodynamics and Safety Evaluation of New Drugs & Hunan Provincial Research Center for Safety Evaluation of DrugsChangshaChina
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological SciencesUniversity of KarachiKarachiPakistan
| | - Fengzhong Wang
- Institute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijingChina
| | - Jingru Wang
- Research Center for Pharmacodynamic, Material Basis and Mechanism of ActionCollege of Pharmacy, Guizhou University of Traditional Chinese MedicineGuiyangChina
| | - Bei Fan
- Institute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijingChina
| | - Xinmin Liu
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological SciencesUniversity of KarachiKarachiPakistan
- Institute of Drug Discovery TechnologyNingbo UniversityNingboChina
| | - Dejiang Jiang
- Hunan Key Laboratory of Pharmacodynamics and Safety Evaluation of New Drugs & Hunan Provincial Research Center for Safety Evaluation of DrugsChangshaChina
| | - Qiong Wang
- Institute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijingChina
- Sino‐Portugal TCM International Cooperation CenterThe Affiliated Traditional Chinese Medicine Hospital of Southwest Medical UniversityLuzhouChina
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14
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Maimaitituerxun R, Chen W, Xiang J, Kaminga AC, Wu XY, Chen L, Yang J, Liu A, Dai W. Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China. BMC Psychiatry 2023; 23:158. [PMID: 36918821 PMCID: PMC10012793 DOI: 10.1186/s12888-023-04657-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 03/06/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Depression and diabetes are major health challenges, with heavy economic social burden, and comorbid depression in diabetes could lead to a wide range of poor health outcomes. Although many descriptive studies have highlighted the prevalence of comorbid depression and its associated factors, the situation in Hunan, China, remains unclear. Therefore, this study aimed to identify the prevalence of comorbid depression and associated factors among hospitalized type 2 diabetes mellitus (T2DM) patients in Hunan, China. METHODS This cross-sectional study involved 496 patients with T2DM who were referred to the endocrinology inpatient department of Xiangya Hospital affiliated to Central South University, Hunan. Participants' data on socio-demographic status, lifestyle factors, T2DM-related characteristics, and social support were collected. Depression was evaluated using the Hospital Anxiety and Depression Scale-depression subscale. All statistical analyses were conducted using the R software version 4.2.1. RESULTS The prevalence of comorbid depression among hospitalized T2DM patients in Hunan was 27.22% (95% Confidence Interval [CI]: 23.3-31.1%). Individuals with depression differed significantly from those without depression in age, educational level, per capita monthly household income, current work status, current smoking status, current drinking status, regular physical activity, duration of diabetes, hypertension, chronic kidney disease, stroke, fatty liver, diabetic nephropathy, diabetic retinopathy, insulin use, HbA1c, and social support. A multivariable logistic regression model showed that insulin users (adjusted OR = 1.86, 95% CI: 1.02-3.42) had a higher risk of depression, while those with regular physical activity (adjusted OR = 0.48, 95% CI: 0.30-0.77) or greater social support (adjusted OR = 0.20, 95% CI: 0.11-0.34) had a lower risk of depression. The area under the curve of the receiver operator characteristic based on this model was 0.741 with a sensitivity of 0.785 and specificity of 0.615. CONCLUSIONS Depression was moderately prevalent among hospitalized T2DM patients in Hunan, China. Insulin treatment strategies, regular physical activity, and social support were significantly independently associated with depression, and the multivariable model based on these three factors demonstrated good predictivity, which could be applied in clinical practice.
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Affiliation(s)
- Rehanguli Maimaitituerxun
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Wenhang Chen
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jingsha Xiang
- Human Resource Department, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 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, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Letao Chen
- Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jianzhou Yang
- Department of Preventive Medicine, Changzhi Medical College, Changzhi, Shanxi, China
| | - Aizhong Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Wenjie Dai
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China.
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15
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Dragioti E, Radua J, Solmi M, Gosling CJ, Oliver D, Lascialfari F, Ahmed M, Cortese S, Estradé A, Arrondo G, Gouva M, Fornaro M, Batiridou A, Dimou K, Tsartsalis D, Carvalho AF, Shin JI, Berk M, Stringhini S, Correll CU, Fusar-Poli P. Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction. World Psychiatry 2023; 22:86-104. [PMID: 36640414 PMCID: PMC9840513 DOI: 10.1002/wps.21068] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/25/2022] [Indexed: 01/15/2023] Open
Abstract
Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of men-tal disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I2 statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders - particularly alcohol use disorders, depressive disorders, and schizophrenia - can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine.
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Affiliation(s)
- Elena Dragioti
- Pain and Rehabilitation Centre and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Imaging of Mood- and Anxiety-Related Disorders Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, University of Barcelona, Barcelona, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- Department of Mental Health, Ottawa Hospital, Ottawa, ON, Canada
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Corentin J Gosling
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- DysCo Lab, Paris Nanterre University, Nanterre, France
- Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, Boulogne-Billancourt, France
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Filippo Lascialfari
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Muhammad Ahmed
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, and Solent NHS Trust, Southampton, UK
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
- Hassenfeld Children's Hospital at NYU Langone, New York, NY, USA
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Gonzalo Arrondo
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Mind-Brain Group, Institute for Culture and Society, University of Navarra, Pamplona, Spain
| | - Mary Gouva
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Michele Fornaro
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Agapi Batiridou
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Konstantina Dimou
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | | | - Andre F Carvalho
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
- Department of Pediatrics, Severance Children's Hospital, Seoul, South Korea
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Silvia Stringhini
- Division of Primary Care, Geneva University Hospitals, Geneva, Switzerland
- University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Health and Community Medicine, University of Geneva, Geneva, Switzerland
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
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16
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Development of a Semi-Quantitative Food Frequency Questionnaire to Estimate Macronutrient Intake among Type 2 Diabetes Mellitus Patients in Malaysia. Nutrients 2023; 15:nu15030506. [PMID: 36771212 PMCID: PMC9921655 DOI: 10.3390/nu15030506] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/21/2023] Open
Abstract
The Food Frequency Questionnaire (FFQ) is one of the most frequently used instruments in epidemiological studies for evaluating dietary intake. Because of the variety of dietary habits within different populations, an FFQ must be tailored to the specific group. To date, no specific FFQ has been developed for type 2 diabetes mellitus (T2DM) patients in Malaysia. In this study, we developed a semi-quantitative FFQ to estimate macronutrient intake among T2DM patients. The development of the FFQ was based on the data acquired from 150 respondents with T2DM from the southern part of Peninsular Malaysia who completed the three-day 24-h dietary recalls. The respondents were selected by convenience sampling. The mean intake from each food item and the proportions of macronutrients were calculated. The approach from a previous study was used to compile a list of foods items with a cumulative 90% macronutrient contribution that is significant for the nutrient of interest. In conclusion, we have successfully developed a new semi-quantitative FFQ with a total of 79 food items and nine food groups. The frequencies of the FFQ were divided into nine categories and this FFQ represents the usual food intake of T2DM patients in Malaysia. However, this tool has yet to be validated in patients with T2DM in Malaysia.
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17
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Yang J, Li X, Mao L, Dong J, Fan R, Zhang L. Path Analysis of Influencing Factors of Depression in Middle-Aged and Elderly Patients with Diabetes. Patient Prefer Adherence 2023; 17:273-280. [PMID: 36741813 PMCID: PMC9896971 DOI: 10.2147/ppa.s392508] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
PURPOSE This study aimed to assess the prevalence of depression in middle-aged and elderly patients with diabetes in China, determine the risk factors of depression in these patients, and explore the internal relationship between influencing factors and depression by constructing a pathway model. METHODS Data were collected from the 2018 China Health and Retirement Longitudinal Study (CHRLS). We included 1743 patients with diabetes who were assessed using the CES-D10, which is used to measure depressive symptoms in Chinese older adults. Based on the theory of psychological stress, data were analyzed using SPSS software version 22.0 and MPLUS 8.0. A correlation analysis was used to explore the relationship between the variables and depression scores. A path model was constructed to explore the interrelationships between variables and verify the relationships between variables and depression in patients with diabetes. RESULTS The prevalence of depression among patients with diabetes was 42.5%. The path analysis results showed that income, diabetes duration, sleep duration, pain distress, self-rated health, and glycemic control directly affected depression, and self-rated health had the largest effect value. With self-rated health and glycemic control as mediator variables, income, diabetes duration, sleep duration, pain distress, glycemic control, and insulin use had indirect effects on depression by influencing self-rated health. Age, frequency of blood glucose monitoring, and exercise glycemic control awareness indirectly affected depression by affecting glycemic control, self-rated health status, and depression. CONCLUSION We found that the path analysis model could construct the interaction between the influencing factors and explore the potential interrelationship between the influencing factors and diabetes-related depression. Patients with diabetes must adhere to regular medication, maintain a healthy lifestyle, and have effective glycemic control. Diabetes depression can be effectively prevented by making psychological knowledge publicly available, providing health education, and establishing corresponding for diabetes.
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Affiliation(s)
- Jielin Yang
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - XiaoJu Li
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
- Correspondence: XiaoJu Li, Email
| | - Lu Mao
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - Jiaxin Dong
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - Rong Fan
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - Liwen Zhang
- Department of Social Work, The First Affiliated Hospital of Shihezi University Medical College, Xinjiang, People’s Republic of China
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18
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Yu H, Yang R, Wu J, Wang S, Qin X, Wu T, Hu Y, Wu Y. Association of metformin and depression in patients with type 2 diabetes. J Affect Disord 2022; 318:380-385. [PMID: 36108876 DOI: 10.1016/j.jad.2022.09.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 09/05/2022] [Accepted: 09/09/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Emerging evidence showed metformin may have pleiotropic effects on ameliorating depression. However, whether metformin was associated with decreased risk of depression remains unclear. METHODS A historical cohort study was conducted based on a medical claim database from 2010 to 2017 in Beijing, China. Patients newly diagnosed with T2D were classified into the metformin and non-metformin groups according to their initial antidiabetic prescription. The incidences of depression between the groups were compared using Cox proportional regression model. RESULTS There were 193,624 (37.4 %) and 323,930 (62.6 %) T2D patients in the metformin and non-metformin groups. The mean age was 54.9 (SD: 13.1) years and 53.9% were females. With a median follow-up of 3.2 years, 64,963 patients developed depression. The adjusted incidence of depression in the metformin group (30.6, 95 % CI: 30.1, 31.0 per 1000 person-years) was significantly lower than in the non-metformin group (39.6, 95 % CI: 39.3, 40.0 per 1000 person-years, P < 0.001). The metformin group was significantly associated with a lower risk of depression compared with the overall non-metformin group (HR: 0.77, 95% CI: 0.75, 0.78), as well as compared with α-glucosidase inhibitors (HR: 0.73, 95 % CI: 0.71, 0.74), sulfonylureas (HR: 0.84, 95 % CI: 0.82, 0.86), and glinides (HR: 0.85, 95 % CI: 0.82, 0.88), except for thiazolidinediones (HR: 0.96, 95 % CI: 0.91, 1.01). The association between metformin and lower depression risk was significant in all the age and sex subgroups. CONCLUSIONS Metformin was associated with a lower risk of depression compared with other oral hypoglycemic agents, indicating a potential pleiotropic effect on depression.
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Affiliation(s)
- Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Ruotong Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; Medical Informatics Center, Peking University, Beijing 100191, China.
| | - Yiqun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
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19
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Ahmad E, Lim S, Lamptey R, Webb DR, Davies MJ. Type 2 diabetes. Lancet 2022; 400:1803-1820. [PMID: 36332637 DOI: 10.1016/s0140-6736(22)01655-5] [Citation(s) in RCA: 241] [Impact Index Per Article: 120.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 08/10/2022] [Accepted: 08/19/2022] [Indexed: 11/06/2022]
Abstract
Type 2 diabetes accounts for nearly 90% of the approximately 537 million cases of diabetes worldwide. The number affected is increasing rapidly with alarming trends in children and young adults (up to age 40 years). Early detection and proactive management are crucial for prevention and mitigation of microvascular and macrovascular complications and mortality burden. Access to novel therapies improves person-centred outcomes beyond glycaemic control. Precision medicine, including multiomics and pharmacogenomics, hold promise to enhance understanding of disease heterogeneity, leading to targeted therapies. Technology might improve outcomes, but its potential is yet to be realised. Despite advances, substantial barriers to changing the course of the epidemic remain. This Seminar offers a clinically focused review of the recent developments in type 2 diabetes care including controversies and future directions.
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Affiliation(s)
- Ehtasham Ahmad
- Diabetes Research Centre, University of Leicester and the Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Soo Lim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Roberta Lamptey
- Family Medicine Department, Korle Bu Teaching Hospital, Accra Ghana and Community Health Department, University of Ghana Medical School, Accra, Ghana
| | - David R Webb
- Diabetes Research Centre, University of Leicester and the Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester and the Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK.
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20
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Severe psychiatric disorders and general medical comorbidities: inflammation-related mechanisms and therapeutic opportunities. Clin Sci (Lond) 2022; 136:1257-1280. [PMID: 36062418 DOI: 10.1042/cs20211106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/16/2022] [Accepted: 08/22/2022] [Indexed: 11/17/2022]
Abstract
Individuals with severe psychiatric disorders, such as mood disorders and schizophrenia, are at increased risk of developing other medical conditions, especially cardiovascular and metabolic diseases. These medical conditions are underdiagnosed and undertreated in these patients contributing to their increased morbidity and mortality. The basis for this increased comorbidity is not well understood, possibly reflecting shared risks factors (e.g. lifestyle risk factors), shared biological mechanisms and/or reciprocal interactions. Among overlapping pathophysiological mechanisms, inflammation and related factors, such as dysbiosis and insulin resistance, stand out. Besides underlying the association between psychiatric disorders and cardiometabolic diseases, these mechanisms provide several potential therapeutic targets.
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21
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Prigge R, Wild SH, Jackson CA. Depression, diabetes, comorbid depression and diabetes and risk of all-cause and cause-specific mortality: a prospective cohort study. Diabetologia 2022; 65:1450-1460. [PMID: 35622126 PMCID: PMC9345808 DOI: 10.1007/s00125-022-05723-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 04/08/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS The aim of this study was to investigate the risks of all-cause and cause-specific mortality among participants with neither, one or both of diabetes and depression in a large prospective cohort study in the UK. METHODS Our study population included 499,830 UK Biobank participants without schizophrenia and bipolar disorder at baseline. Type 1 and type 2 diabetes and depression were identified using self-reported diagnoses, prescribed medication and hospital records. Mortality was identified from death records using the primary cause of death to define cause-specific mortality. We performed Cox proportional hazards models to estimate the risk of all-cause mortality and mortality from cancer, circulatory disease and causes of death other than circulatory disease or cancer among participants with either depression (n=41,791) or diabetes (n=22,677) alone and with comorbid diabetes and depression (n=3597) compared with the group with neither condition (n=431,765), adjusting for sociodemographic and lifestyle factors, comorbidities and history of CVD or cancer. We also investigated the interaction between diabetes and depression. RESULTS During a median of 6.8 (IQR 6.1-7.5) years of follow-up, there were 13,724 deaths (cancer, n=7976; circulatory disease, n=2827; other causes, n=2921). Adjusted HRs of all-cause mortality and mortality from cancer, circulatory disease and other causes were highest among people with comorbid depression and diabetes (HRs 2.16 [95% CI 1.94, 2.42]; 1.62 [95% CI 1.35, 1.93]; 2.22 [95% CI 1.80, 2.73]; and 3.60 [95% CI 2.93, 4.42], respectively). The risks of all-cause, cancer and other mortality among those with comorbid depression and diabetes exceeded the sum of the risks due to diabetes and depression alone. CONCLUSIONS/INTERPRETATION We confirmed that depression and diabetes individually are associated with an increased mortality risk and also identified that comorbid depression and diabetes have synergistic effects on the risk of all-cause mortality that are largely driven by deaths from cancer and causes other than circulatory disease and cancer.
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Affiliation(s)
- Regina Prigge
- Usher Institute, Centre for Population Health Sciences, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
| | - Sarah H Wild
- Usher Institute, Centre for Population Health Sciences, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Caroline A Jackson
- Usher Institute, Centre for Population Health Sciences, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
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22
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Doherty AM. Editorial: Psychological Interventions to Improve Diabetes Self-Management. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:931125. [PMID: 36992746 PMCID: PMC10012051 DOI: 10.3389/fcdhc.2022.931125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022]
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23
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Martins LB, Braga Tibães JR, Berk M, Teixeira AL. Diabetes and mood disorders: shared mechanisms and therapeutic opportunities. Int J Psychiatry Clin Pract 2022; 26:183-195. [PMID: 34348557 DOI: 10.1080/13651501.2021.1957117] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The objective of this manuscript is to provide a comprehensive and critical overview of the current evidence on the association between Diabetes mellitus (DM) and mood disorders [i.e., Major depressive disorder (MDD) and bipolar disorder (BD)], and therapeutic opportunities. METHODS We searched in MEDLINE (via Ovid) for placebo-controlled clinical trials published in the last 20 years that assessed drug repurposing approaches for the treatment of DM or mood disorders. RESULTS We found seven studies that aimed to verify the effects of antidepressants in patients diagnosed with DM, and eight studies that tested the effect of antidiabetic drugs in patients diagnosed with MDD or BD. Most studies published in the last two decades did not report a positive effect of antidepressants on glycemic control in patients with DM. On the other hand, antidiabetic drugs seem to have a positive effect on the treatment of MDD and BD. CONCLUSIONS While effect of antidepressants on glycemic control in patients with DM is still controversial, the use of antidiabetic drugs may be a promising strategy for patients with MDD or BD. Prospective studies are still needed.Key pointsMood disorders in patients with DM affect glycemic control, potentially increasing mortality risk.The effect of antidepressants on glycemic control in patients with DM is still controversial. The coexistence of complicated DM and a mood disorders would require a careful, individualised, and comprehensive evaluation.Insulin resistance may increase the risk of depressive symptoms and is associated with worse outcomes in BD.The use antidiabetic drugs may be a promising strategy for patients with MDD or BD. However, prospective trials are needed to prove a potential antidepressant activity of antidiabetic drugs.
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Affiliation(s)
- Laís Bhering Martins
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.,Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Jenneffer Rayane Braga Tibães
- Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Department of Agricultural, Food and Nutritional Science, Division of Human Nutrition, University of Alberta, Edmonton, Canada
| | - Michael Berk
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Geelong, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health, Parkville, Australia.,Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Antonio Lucio Teixeira
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.,Instituto de Ensino e Pesquisa, Belo Horizonte, Brazil
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24
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Liu X, Li Y, Guan L, He X, Zhang H, Zhang J, Li J, Zhong D, Jin R. A Systematic Review and Meta-Analysis of the Prevalence and Risk Factors of Depression in Type 2 Diabetes Patients in China. Front Med (Lausanne) 2022; 9:759499. [PMID: 35620713 PMCID: PMC9127805 DOI: 10.3389/fmed.2022.759499] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 03/21/2022] [Indexed: 11/16/2022] Open
Abstract
Background The prevalence of type 2 diabetes mellitus (T2DM) is increasing in China. Depression in patients with T2DM interferes with blood glucose management, leads to poor treatment outcomes, and has a high risk of dementia and cardiovascular event. We conducted this systematic review and meta-analysis to evaluate the prevalence of depression in patients with T2DM in China and explore potential risk factors associated with depression in T2DM. Methods We conducted a literature search in MEDLINE/PubMed, EMBASE, the Cochrane Library, the Chinese Biomedical Literature Database (CBM), the China National Knowledge Infrastructure (CNKI), the Chinese Science and Technology Periodical Database (VIP), and the Wanfang Database from their inception to February 25, 2022 to include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese T2DM patients and studied possible risk factors. Gray literature and reference lists were also manually searched. We used the Agency for Healthcare Research and Quality methodology checklist to assess the risk of bias in the included studies. Two reviewers screened studies, extracted data, and evaluated the risk of bias independently. The primary outcome was the pooled prevalence of depression in Chinese T2DM patients, and the secondary outcomes included potential risk factors for depression in T2DM patients. R (version 3.6.1) and Stata (version 12.0) software were used for data synthesis. Results We included 48 reports that identified 108,678 subjects. Among the included reports, 4 were rated as low risk of bias, 40 moderate risks of bias, and 4 high risks of bias. The prevalence of depression in T2DM patients in China was 25.9% (95% CI 20.6%-31.6%). The prevalence of depression was higher in women (OR = 1.36, 95% CI 1.19-1.54), subjects ≥60 years (OR = 1.56, 95% CI 1.14-2.14), with a primary school or lower education (vs. middle or high school education (OR = 1.49, 95% CI 1.16 - 1.92); vs. college degree or higher education (OR = 1.84, 95% CI 1.16 - 2.92), with a duration of T2DM ≥ 10 years (OR = 1.68, 95% CI 1.11-2.54), with complications (OR = 1.90, 95% CI 1.53-2.36), insulin users (OR = 1.46, 95% CI 1.09-1.96) and individuals living alone (OR = 2.26, 95% CI 1.71-2.98). T2DM patients with current alcohol use had a lower prevalence of depression (OR = 0.70, 95% CI 0.58-0.86). Prevalence varied from 0.8 to 52.6% according to different instruments used to detect depression. Conclusion The prevalence of depression in T2DM patients is remarkable in China. Potential risk factors of depression in T2DM patients included women, age ≥ 60 years, low educational level, complications, duration of diabetes ≥ 10 years, insulin use, and living alone. High-quality epidemiological investigations on the prevalence of depression in Chinese T2DM patients are needed to better understand the status of depression in T2DM. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42020182979.
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Affiliation(s)
- Xiaobo Liu
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuxi Li
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Li Guan
- Department of Rehabilitation, Fushun County People's Hospital, Zigong, China
| | - Xia He
- Affiliated Rehabilitation Hospital of Chengdu University of Traditional Chinese Medicine /Sichuan Province Rehabilitation Hospital, Chengdu, China
| | - Huiling Zhang
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jun Zhang
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Juan Li
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Dongling Zhong
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Rongjiang Jin
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Schmitt A, Kulzer B, Reimer A, Herder C, Roden M, Haak T, Hermanns N. Evaluation of a Stepped Care Approach to Manage Depression and Diabetes Distress in Patients with Type 1 Diabetes and Type 2 Diabetes: Results of a Randomized Controlled Trial (ECCE HOMO Study). PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 91:107-122. [PMID: 34875666 DOI: 10.1159/000520319] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 10/19/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Depression is a common and serious complication of diabetes. Treatment approaches addressing the specific demands of affected patients are scarce. OBJECTIVE The aim of this work was to test whether a stepped care approach for patients with diabetes and depression and/or diabetes distress yields greater depression reduction than treatment-as-usual. METHODS Two-hundred and sixty patients with diabetes and elevated depressive symptoms (CES-D ≥16) and/or elevated diabetes distress (PAID ≥40) were randomized to stepped care for depression or diabetes treatment-as-usual. The primary outcome was the rate of meaningful depression reduction at the 12-month follow-up according to the HAMD (score <9 or reduction by ≥50%). Secondary outcomes were changes in depression scores (HAMD/CES-D), diabetes distress (PAID), diabetes acceptance (AADQ), well-being (WHO-5), quality of life (EQ-5D/SF-36), self-care behavior (SDSCA/DSMQ), HbA1c, and biomarkers of inflammation. RESULTS One-hundred and thirty-one individuals were assigned to stepped care and 129 to treatment-as-usual. Overall, 15.4% were lost to follow-up. Meaningful depression reduction was observed in 80.2 versus 51.2% in stepped care versus treatment-as-usual (p < 0.001, intention-to-treat analysis). Of the secondary measures, the HAMD (∆ -3.2, p < 0.001), WHO-5 (∆ 1.5, p = 0.007), and AADQ (∆ -1.0, p = 0.008) displayed significant treatment effects, while effects on CES-D (∆ -2.3, p = 0.065), PAID (∆ -3.5, p = 0.109), and SDSCA (∆ 0.20, p = 0.081) were not significantly different. Both groups showed comparable changes in EQ-5D/SF-36, DSMQ, HbA1c, and biomarkers of inflammation (all p ≥ 0.19). CONCLUSIONS The stepped care approach improved depression, well-being, and acceptance. The results support that increasing treatment intensity on demand is effective and can help provide more optimal treatment. The inclusion of diabetes-specific interventions may be beneficial for patients with diabetes and elevated depression.
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Affiliation(s)
- Andreas Schmitt
- Research Institute of the Diabetes Academy Mergentheim, Diabetes Center Mergentheim, Bad Mergentheim, Germany.,German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
| | - Bernhard Kulzer
- Research Institute of the Diabetes Academy Mergentheim, Diabetes Center Mergentheim, Bad Mergentheim, Germany.,German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany.,Department for Psychology, Otto-Friedrich-University of Bamberg, Bamberg, Germany
| | - André Reimer
- Research Institute of the Diabetes Academy Mergentheim, Diabetes Center Mergentheim, Bad Mergentheim, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany.,Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany.,Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Thomas Haak
- Research Institute of the Diabetes Academy Mergentheim, Diabetes Center Mergentheim, Bad Mergentheim, Germany
| | - Norbert Hermanns
- Research Institute of the Diabetes Academy Mergentheim, Diabetes Center Mergentheim, Bad Mergentheim, Germany.,German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany.,Department for Psychology, Otto-Friedrich-University of Bamberg, Bamberg, Germany
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Shah A, Bhattad D. Immediate and short-term prevalence of depression in covid-19 patients and its correlation with continued symptoms experience. Indian J Psychiatry 2022; 64:301-306. [PMID: 35859555 PMCID: PMC9290425 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_840_21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 02/24/2022] [Accepted: 05/09/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The COVID-19 infection can result in prolonged illness in those infected irrespective of disease severity. Infectious diseases are associated with a higher risk of mood disorders. A better understanding of convalescence, symptom duration, as well as the prevalence of depression among recovering patients, could help plan better care for the survivors of COVID-19. AIM The study aimed to estimate the immediate and short-term prevalence of major depressive disorder and its correlation with continued symptom experience. METHODS In this non-interventional, observational, and cross-sectional telephone survey study, 273 participants were included from January 2021 to April 2021 and 261 completed follow-up by July 2021. The symptoms at the time of RT-PCR testing and during the two phone calls were captured and the Patient Health Questionnaire 9 item (PHQ-9) version was administered. RESULTS During the immediate and short-term period following COVID-19, 144/261 (55.1%) and 71/261 (27.2%) patients had not returned to usual health, respectively, and 33/261 (12.8%) and 13/261 (5%) of the patients developed depression, respectively. The binary logistic regression analysis revealed that the independent predictors of depression in short-term period following COVID-19 were comorbid diabetes mellitus (OR = 32.99, 95% CI- 2.19-496, P = 0.011), number of symptoms at the time of RT-PCR testing (OR = 1.89, 95% CI 1.23-1.92, P = 0.018), and number of symptoms at short-term period following COVID-19 (OR = 2.85, 95% CI 1.47-5.51, P = 0.002). CONCLUSIONS Individuals with a greater number of symptoms at the time of RT-PCR testing, with post-COVID symptoms persisting 3 months later, and those who have comorbid diabetes mellitus, are at greater odds to have comorbid depression.
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Affiliation(s)
- Ashutosh Shah
- Department of Psychiatry and Internal Medicine, Sir H N Reliance Foundation Hospital, Prathana Samaj, Mumbai, Maharashtra, India
| | - Dhiraj Bhattad
- Department of Psychiatry and Internal Medicine, Sir H N Reliance Foundation Hospital, Prathana Samaj, Mumbai, Maharashtra, India
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Arsenyadis F, Ahmad E, Redman E, Yates T, Davies M, Khunti K. The Effects of Omega-3 Supplementation on Depression in Adults with Cardiometabolic Disease: A Systematic Review of Randomised Control Trials. Nutrients 2022; 14:nu14091827. [PMID: 35565800 PMCID: PMC9101438 DOI: 10.3390/nu14091827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/19/2022] [Accepted: 04/21/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Omega-3 polyunsaturated fatty acids′ concurrent benefits for cardiometabolic and mental health are equivocal. Despite lack of evidence, up to a third of adults consume Omega-3 supplements. No review has yet been published to report effect on depression in this cardiometabolic population. Methods: We conducted a systematic review of double-blinded, controlled randomised trials to investigate the safety and effect of Omega-3 supplementation on depression scores in people with cardiometabolic diseases. Primary outcome was change in depression scores versus placebo. Secondary outcomes were side-effects, concurrent medication and adherence. Results: Seven trials reporting on 2575 (672 female) adults aged 39−73 were included. Omega-3 dosages ranged from 1−3 g with an intervention duration of 10−48 weeks. Six out of seven trials found no statistically or clinically significant change to depression scores compared to placebo. One trial favoured intervention (Relative Risk Reduction: 47.93%, 95% CI: 24.89−63.98%, p < 0.001). Sub-analyses showed clinically meaningful reductions in depression scores for those on antidepressants (Intervention: 20.9 (SD: 7.1), Placebo: 24.9 (SD: 8.5) p < 0.05) or with severe depression (−1.74; 95% CI −3.04 to −0.05, p < 0.05) in two separate trials. Side effects were comparable between treatment arms. Conclusions: Omega-3 supplementation is safe to use but not superior to placebo for depression in adults with concurrent cardiometabolic disease.
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Affiliation(s)
- Franciskos Arsenyadis
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, College of Life Sciences, University of Leicester, Leicester LE5 4PW, UK; (E.A.); (E.R.); (T.Y.); (M.D.); (K.K.)
- Diabetes Research Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK
- Correspondence: ; Tel.: +44-0116-2584370
| | - Ehtasham Ahmad
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, College of Life Sciences, University of Leicester, Leicester LE5 4PW, UK; (E.A.); (E.R.); (T.Y.); (M.D.); (K.K.)
- Diabetes Research Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK
| | - Emma Redman
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, College of Life Sciences, University of Leicester, Leicester LE5 4PW, UK; (E.A.); (E.R.); (T.Y.); (M.D.); (K.K.)
- Diabetes Research Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK
| | - Thomas Yates
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, College of Life Sciences, University of Leicester, Leicester LE5 4PW, UK; (E.A.); (E.R.); (T.Y.); (M.D.); (K.K.)
- Diabetes Research Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK
| | - Melanie Davies
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, College of Life Sciences, University of Leicester, Leicester LE5 4PW, UK; (E.A.); (E.R.); (T.Y.); (M.D.); (K.K.)
- Diabetes Research Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK
| | - Kamlesh Khunti
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, College of Life Sciences, University of Leicester, Leicester LE5 4PW, UK; (E.A.); (E.R.); (T.Y.); (M.D.); (K.K.)
- Diabetes Research Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK
- NIHR Applied Health Research Collaboration-East Midlands (NIHR ARC-EM), University of Leicester, Leicester LE5 4PW, UK
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Biopsychosocial and Nutritional Factors of Depression among Type 2 Diabetes Mellitus Patients: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084888. [PMID: 35457752 PMCID: PMC9031597 DOI: 10.3390/ijerph19084888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 11/16/2022]
Abstract
The rising prevalence of depression among Type 2 Diabetes Mellitus (T2DM) patients has triggered an alarming situation, and further actions need to be taken by health care professionals and policymakers to curb the issue. There is a lack of evidence review in terms of the biopsychosocial and nutritional factors that are related to depression among T2DM. Hence, this review aimed to identify available evidence on the biopsychosocial and nutritional factors associated with depression among T2DM patients based on the existing literature. Articles were systematically searched from four databases, namely PubMed, Scopus, Web of Science, and EBSCOHost. The approach for the identification of the final articles followed PRISMA guidelines. The selected full-text articles were published between 2017 and 2021 in the English language, and included studies focused on depression among T2DM patients. Using AXIS tools, the eligible articles were evaluated to assess the quality of studies. A total of 19 studies were included in the review, and information related to research questions and associated factors was extracted. Biological, psychological, social, and nutritional factors were shown to be linked with depression among T2DM patients. Future studies need to considered using the biopsychosocial model and incorporating nutritional factors to manage the issues of depression among T2DM patients.
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Zhu M, Li Y, Luo B, Cui J, Liu Y, Liu Y. Comorbidity of Type 2 Diabetes Mellitus and Depression: Clinical Evidence and Rationale for the Exacerbation of Cardiovascular Disease. Front Cardiovasc Med 2022; 9:861110. [PMID: 35360021 PMCID: PMC8960118 DOI: 10.3389/fcvm.2022.861110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/07/2022] [Indexed: 12/25/2022] Open
Abstract
Depression is a common comorbidity of type 2 diabetes mellitus (T2DM). T2DM with comorbid depression increases the risk of cardiovascular events and death. Depression and T2DM and its macrovascular complications exhibited a two-way relationship. Regarding treatment, antidepressants can affect the development of T2DM and cardiovascular events, and hypoglycemic drugs can also affect the development of depression and cardiovascular events. The combination of these two types of medications may increase the risk of the first myocardial infarction. Herein, we review the latest research progress in the exacerbation of cardiovascular disease due to T2DM with comorbid depression and provide a rationale and an outlook for the prevention and treatment of cardiovascular disease in T2DM with comorbid depression.
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Affiliation(s)
- Mengmeng Zhu
- National Clinical Research Centre for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Yiwen Li
- National Clinical Research Centre for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Binyu Luo
- National Clinical Research Centre for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Jing Cui
- National Clinical Research Centre for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Yanfei Liu
- Second Department of Geriatrics, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
- Yanfei Liu
| | - Yue Liu
- National Clinical Research Centre for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Yue Liu
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Tardif I, Guénette L, Zongo A, Demers É, Lunghi C. Depression and the risk of hospitalization in type 2 diabetes patients: A nested case-control study accounting for non-persistence to antidiabetic treatment. DIABETES & METABOLISM 2022; 48:101334. [PMID: 35231612 DOI: 10.1016/j.diabet.2022.101334] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/29/2022] [Accepted: 02/12/2022] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Depression is one of the most common comorbidities of type 2 diabetes. The relationship between these two diseases seems to be bidirectional. Both conditions separately lead to significant morbidity and mortality, including hospitalization. Moreover, depression is associated with non-persistence with antidiabetic drugs. OBJECTIVES To measure the effect of depression on morbidity and particularly on all-cause, diabetes-related, cardiovascular-related and major cardiovascular events-related hospitalization, adjusting for non-persistence to antidiabetic drugs and other confounders. METHODS We performed a nested case-control study within a cohort of type 2 diabetic individuals initiating antidiabetic drugs. Using the health administrative data of the province of Quebec, Canada, we identified all-cause, diabetes-related, cardiovascular-related and major cardiovascular hospitalizations during a maximum follow-up of eight years after the initiation of antidiabetic drug treatment. A density sampling method matched all cases with up to 10 controls by age, sex, and the Elixhauser comorbidity index. The effect of depression on hospitalization was estimated using conditional logistic regressions adjusting for non-persistence to antidiabetic drug treatment and other variables. RESULTS We identified 41,550 all-cause hospitalized cases, of which 34,437 were related to cardiovascular (CV) diseases, 29,584 to diabetes, and 13,867 to major CV events. Depression was diagnosed in 2.51% of all-cause hospitalizations and 1.16% of matched controls. 69.11% of cases and 72.59% of controls were on metformin monotherapy. The majority (71.62% vs 75.02%, respectively) stayed on metformin monotherapy without adding or switching drugs during follow-up. Non-persistence was at similar rates (about 30%) in both groups. In the multivariable analyses, depression was associated with an increased risk for all-cause hospitalizations, with odds ratios (ORs) ranging from 2.21 (95% CI: 2.07-2.37) to 1.32 (95% CI: 1.22-1.44) according to the model adjustment (from the univariate to the fully adhjusted). CONCLUSION Depression increased the risk of all-cause hospitalizations among patients treated for diabetes, even after accounting for non-persistence and other potentially confounding factors. These results stress the impact of depression on diabetic patients' use of health care resources.
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Affiliation(s)
- Isabelle Tardif
- Faculty of Medicine, 1050 avenue de la Médecine, Université Laval, Quebec City, QC, Canada
| | - Line Guénette
- Faculty of Pharmacy, 1050 avenue de la Médecine, Université Laval, Quebec City, QC, Canada; Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec-Université Laval, 1050 chemin Ste-Foy, Quebec City, QC, Canada
| | - Arsène Zongo
- Faculty of Pharmacy, 1050 avenue de la Médecine, Université Laval, Quebec City, QC, Canada; Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec-Université Laval, 1050 chemin Ste-Foy, Quebec City, QC, Canada
| | - Éric Demers
- Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec-Université Laval, 1050 chemin Ste-Foy, Quebec City, QC, Canada
| | - Carlotta Lunghi
- Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec-Université Laval, 1050 chemin Ste-Foy, Quebec City, QC, Canada; Department of Health Sciences, Université du Québec à Rimouski, 1595 boulevard Alphonse-Desjardins, Lévis, QC, Canada.
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Associations between diabetes-related distress and predicted cardiovascular complication risks in patients with type 2 diabetes. J Osteopath Med 2022; 122:319-326. [DOI: 10.1515/jom-2021-0204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/14/2022] [Indexed: 11/15/2022]
Abstract
Abstract
Context
Diabetes-related distress (DRD) is experienced by nearly 50% of people with diabetes at any given time in their diagnosis. The effects of low socioeconomic status (SES) and lacking access to resources can increase DRD. In addition, cardiovascular (CV) complications associated with diabetes are associated with higher DRD scores.
Objectives
This study evaluated the associations between DRD and predicted CV risks in participants with type 2 diabetes.
Methods
This cross-sectional study included 234 individuals with low SES who were Medi-Cal (California version of Medicaid) beneficiaries and sought medical care at a safety-net clinic system. The Problem Areas in Diabetes (PAID) questionnaire assessed DRD levels. The United Kingdom Prospective Diabetes Study Risk Engine was utilized to predict 10-year risks for coronary heart disease (CHD), fatal CHD, stroke, and fatal stroke. A multivariate linear regression model was constructed between the two variables, including other variables to control for potential confounding factors, for assessing the associations.
Results
After controlling for potential confounders, participants’ total PAID questionnaire scores were significantly associated with their 10-year predicted fatal CHD risks (B=0.060, 95% CI: [0.00084, 0.12], p=0.047).
Conclusions
After controlling for covariates, DRD levels exhibited a significant association with increased 10-year predicted fatal CHD risks in patients with type 2 diabetes and lower SES. Screening for DRD and provision of appropriate psychosocial interventions may reduce the risks of CHD in those with type 2 diabetes.
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Beran M, Muzambi R, Geraets A, Albertorio‐Diaz JR, Adriaanse MC, Iversen MM, Kokoszka A, Nefs G, Nouwen A, Pouwer F, Huber JW, Schmitt A, Schram MT. The bidirectional longitudinal association between depressive symptoms and HbA 1c : A systematic review and meta-analysis. Diabet Med 2022; 39:e14671. [PMID: 34407250 PMCID: PMC9292323 DOI: 10.1111/dme.14671] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 06/17/2021] [Accepted: 08/16/2021] [Indexed: 12/11/2022]
Abstract
AIM To investigate whether there is a bidirectional longitudinal association of depression with HbA1c . METHODS We conducted a systematic literature search in PubMed, PsycINFO, CINAHL and EMBASE for observational, longitudinal studies published from January 2000 to September 2020, assessing the association between depression and HbA1c in adults. We assessed study quality with the Newcastle-Ottawa-Scale. Pooled effect estimates were reported as partial correlation coefficients (rp ) or odds ratios (OR). RESULTS We retrieved 1642 studies; 26 studies were included in the systematic review and eleven in the meta-analysis. Most studies (16/26) focused on type 2 diabetes. Study quality was rated as good (n = 19), fair (n = 2) and poor (n = 5). Of the meta-analysed studies, six investigated the longitudinal association between self-reported depressive symptoms and HbA1c and five the reverse longitudinal association, with a combined sample size of n = 48,793 and a mean follow-up of 2 years. Higher levels of baseline depressive symptoms were associated with subsequent higher levels of HbA1c (partial r = 0.07; [95% CI 0.03, 0.12]; I2 38%). Higher baseline HbA1c values were also associated with 18% increased risk of (probable) depression (OR = 1.18; [95% CI 1.12,1.25]; I2 0.0%). CONCLUSIONS Our findings support a bidirectional longitudinal association between depressive symptoms and HbA1c . However, the observed effect sizes were small and future research in large-scale longitudinal studies is needed to confirm this association. Future studies should investigate the role of type of diabetes and depression, diabetes distress and diabetes self-management behaviours. Our results may have clinical implications, as depressive symptoms and HbA1c levels could be targeted concurrently in the prevention and treatment of diabetes and depression. REGISTRATION PROSPERO ID CRD42019147551.
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Affiliation(s)
- Magdalena Beran
- School for Cardiovascular Disease (CARIM)Department of Internal MedicineMaastricht UniversityMaastrichtThe Netherlands
| | - Rutendo Muzambi
- Faculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Anouk Geraets
- School for Cardiovascular Disease (CARIM)Department of Internal MedicineMaastricht UniversityMaastrichtThe Netherlands
- Department of Psychiatry and NeuropsychologyMHeNs School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | | | - Marcel C. Adriaanse
- Department of Health Sciences and Amsterdam Public Health Research InstituteFaculty of ScienceVrije UniversiteitAmsterdamThe Netherlands
| | - Marjolein M. Iversen
- Department of Health and Caring SciencesFaculty of Health and Social SciencesWestern Norway University of Applied SciencesBergenNorway
| | - Andrzej Kokoszka
- II Department of PsychiatryMedical University of WarsawWarszawaPoland
| | - Giesje Nefs
- Department of Medical PsychologyRadboud University Medical CenterRadboud Institute for Health SciencesNijmegenThe Netherlands
- Center of Research on Psychology in Somatic Diseases (CoRPS)Department of Medical and Clinical PsychologyTilburg UniversityTilburgThe Netherlands
- DiabeterNational Treatment and Research Center for Children, Adolescents and Young Adults with Type 1 DiabetesRotterdamThe Netherlands
| | - Arie Nouwen
- Department of PsychologyMiddlesex UniversityLondonUnited Kingdom
- School of Health, Wellbeing and Social CareThe Open UniversityMilton KeynesUnited Kingdom
| | - Frans Pouwer
- Department of PsychologyUniversity of Southern DenmarkOdenseDenmark
- STENO Diabetes CenterOdense University HospitalOdenseDenmark
| | - Jörg W. Huber
- School of Health SciencesUniversity of BrightonBrightonUnited Kingdom
| | - Andreas Schmitt
- German Center for Diabetes Research (DZDMünchen‐NeuherbergGermany
- Research Institute of the Diabetes Academy Mergentheim (FIDAMBad MergentheimGermany
| | - Miranda T. Schram
- School for Cardiovascular Disease (CARIM)Department of Internal MedicineMaastricht UniversityMaastrichtThe Netherlands
- Department of Psychiatry and NeuropsychologyMHeNs School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
- Heart and Vascular CentreMaastricht University Medical Center+MaastrichtThe Netherlands
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Messina R, Iommi M, Rucci P, Reno C, Fantini MP, Lunghi C, Altini M, Bravi F, Rosa S, Nicolucci A, Di Bartolo P. Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study. Acta Diabetol 2022; 59:95-104. [PMID: 34495396 PMCID: PMC8758621 DOI: 10.1007/s00592-021-01791-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 08/19/2021] [Indexed: 12/26/2022]
Abstract
AIMS Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality. METHODS In this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years. RESULTS Incident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk. CONCLUSIONS Our findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes.
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Affiliation(s)
- Rossella Messina
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy
| | - Marica Iommi
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy.
| | - Paola Rucci
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy
| | - Chiara Reno
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy
| | - Maria Pia Fantini
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy
| | - Carlotta Lunghi
- Department of Health Sciences, Université du Québec À Rimouski, Rimouski, Canada
- Santé Des Populations Et Pratiques Optimales en Santé, Centre de Recherche du CHU de Québec, Québec, Canada
| | - Mattia Altini
- Health Directorate, Romagna Local Health Authority, Bologna, Emilia-Romagna Region, Italy
| | - Francesca Bravi
- Health Directorate, Romagna Local Health Authority, Bologna, Emilia-Romagna Region, Italy
| | - Simona Rosa
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy
| | - Antonio Nicolucci
- Center for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy
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Hong KMC, Glick BA, Kamboj MK, Hoffman RP. Glycemic control, depression, diabetes distress among adolescents with type 1 diabetes: effects of sex, race, insurance, and obesity. Acta Diabetol 2021; 58:1627-1635. [PMID: 34213654 DOI: 10.1007/s00592-021-01768-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/21/2021] [Indexed: 01/09/2023]
Abstract
AIMS To determine whether diabetes distress or depression screening better predict increased hemoglobin A1c (HbA1c) and to assess interactions with age, sex, race, obesity, and insurance status. BACKGROUND Diabetes distress is a negative emotional reaction to diabetes, diabetes complications, self-management demands, unresponsive providers, and/or poor interpersonal relationships. Guidelines recommend annual depression screening, however diabetes distress may be mistaken for depression. METHOD Depression (PHQ-9) and diabetes distress (PAID-T) scores from self-administered tests were studied in 313 patients with type 1 diabetes (T1D) between the ages of 13-17. Spearman correlations and robust rank order multivariable regression analysis were used to assess relationships to age, duration, HbA1c. Kruskal-Wallis test was used to assess differences between sexes, races, and insurance status. Receiver operator curves (ROC) were constructed to see whether PAID-T or PHQ-9 scores more closely predicted HbA1c greater than 9%. RESULTS HbA1c was more strongly correlated with PAID-T (rs = 0.37, p < 0.01), than PHQ-9 (rs = 0.27, p < 0.01) scores. Area under ROC curve for poor HbA1c was 0.75 for PAID and 0.64 for PHQ-9. PAID-T and PHQ-9 scores were increased in females and subjects with public insurance and both were significantly related to HbA1c even when accounting for age, sex, race obesity, and insurance status. PHQ-9 and PAID-T scores correlated with BMI-Z scores in Blacks, but not Whites. CONCLUSIONS Both depression and diabetes distress are associated with increased HbA1c in adolescents with T1D, though distress is more so. Diabetes distress and depression should be routinely assessed in T1D adolescents, particularly those with public insurance.
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Affiliation(s)
- K Ming Chan Hong
- Division of Endocrinology, Nationwide Children's Hospital, The Ohio State University, Columbus, OH, 43105, USA
| | - Bethany A Glick
- Division of Endocrinology, Nationwide Children's Hospital, The Ohio State University, Columbus, OH, 43105, USA
| | - Manmohan K Kamboj
- Division of Endocrinology, Nationwide Children's Hospital, The Ohio State University, Columbus, OH, 43105, USA
| | - Robert P Hoffman
- Pediatric Endocrinology, Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.
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Liu X, Dong C, Jiang H, Zhong D, Li Y, Zhang H, Zhang J, Fan J, Li J, Guan L, Jin R. Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis. Syst Rev 2021; 10:302. [PMID: 34823606 PMCID: PMC8620640 DOI: 10.1186/s13643-021-01855-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the prevalence of depression in Chinese patients with T2DM and explore potential risk factors of depression in T2DM. METHODS We will search literatures recorded in MEDLINE, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and WanFang Database from their inception onwards. We will manually search gray literatures, reference lists of identified studies, relevant websites, and consult experts in this field. We will include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese patients with T2DM or/and the possible risk factors of depression in T2DM. Two reviewers will screen studies, extract data, and evaluate risk of bias independently. Agency for Healthcare Research and Quality methodology checklist will be used to assess the risk of bias. If feasible, we will conduct random effects meta-analysis of observational data to summarize the pooled prevalence, and use odds ratio for categorical data to explore potential risk factors. Prevalence estimates will be stratified according to age, gender, and other factors. Statistical heterogeneity will be estimated using Cochran's Q and I2 index. We will conduct meta-regression to investigate the potential sources of heterogeneity, sensitivity analyses to assess robustness of the synthesized results, and funnel plots and Egger's test to assess publication bias. DISCUSSION This systematic review and meta-analysis will provide comprehensive evidence of the prevalence and potential risk factors of depression in Chinese patients with T2DM. We expect to provide evidence for healthcare practitioners and policy makers to pay attention to the mental health of patients with T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020182979.
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Affiliation(s)
- Xiaobo Liu
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Chao Dong
- The General Hospital of Western Theater Command, Chengdu, China
| | - Hong Jiang
- Department of Rehabilitation, Xichong County People's Hospital, Nanchong, China
| | - Dongling Zhong
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuxi Li
- School of Acupuncture-Moxibustion and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Huiling Zhang
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jun Zhang
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jin Fan
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Juan Li
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Li Guan
- Department of Rehabilitation, Fushun County People's Hospital, Zigong, China.
| | - Rongjiang Jin
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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Smigoc Schweiger D, Battelino T, Groselj U. Sex-Related Differences in Cardiovascular Disease Risk Profile in Children and Adolescents with Type 1 Diabetes. Int J Mol Sci 2021; 22:ijms221910192. [PMID: 34638531 PMCID: PMC8508122 DOI: 10.3390/ijms221910192] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 01/09/2023] Open
Abstract
Cardiovascular disease (CVD) is the primary cause of higher and earlier morbidity and mortality in people with type 1 diabetes (T1D) compared to people without diabetes. In addition, women with T1D are at an even higher relative risk for CVD than men. However, the underlying pathophysiology is not well understood. Atherosclerotic changes are known to progress early in life among people with T1D, yet it is less clear when excess CVD risk begins in females with T1D. This review explores the prevalence of classical CVD risk factors (such as glycemic control, hypertension, dyslipidemia, obesity, albuminuria, smoking, diet, physical inactivity), as well as of novel biomarkers (such as chronic inflammation), in children and adolescents with T1D with particular regard to sex-related differences in risk profile. We also summarize gaps where further research and clearer clinical guidance are needed to better address this issue. Considering that girls with T1D might have a more adverse CVD risk profile than boys, the early identification of and sex-specific intervention in T1D would have the potential to reduce later CVD morbidity and excess mortality in females with T1D. To conclude, based on an extensive review of the existing literature, we found a clear difference between boys and girls with T1D in the presence of individual CVD risk factors as well as in overall CVD risk profiles; the girls were on the whole more impacted.
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Affiliation(s)
- Darja Smigoc Schweiger
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (D.S.S.); (T.B.)
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, University Medical Centre Ljubljana, Bohoriceva 20, 1000 Ljubljana, Slovenia
| | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (D.S.S.); (T.B.)
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, University Medical Centre Ljubljana, Bohoriceva 20, 1000 Ljubljana, Slovenia
| | - Urh Groselj
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (D.S.S.); (T.B.)
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, University Medical Centre Ljubljana, Bohoriceva 20, 1000 Ljubljana, Slovenia
- Department of Cardiovascular Medicine, School of Medicine, Stanford University, 870 Quarry Road, Stanford, CA 94305, USA
- Correspondence: ; Tel.: +386-1-522-9235; Fax: +386-1-232-0190
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Heikkala E, Mikkola I, Jokelainen J, Timonen M, Hagnäs M. Multimorbidity and achievement of treatment goals among patients with type 2 diabetes: a primary care, real-world study. BMC Health Serv Res 2021; 21:964. [PMID: 34521389 PMCID: PMC8442281 DOI: 10.1186/s12913-021-06989-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Background Type 2 diabetes (T2D), with its prevalence and disability-causing nature, is a challenge for primary health care. Most patients with T2D are multimorbid, i.e. have one or more long-term diseases in addition to T2D. Multimorbidity may play a role in the achievement of T2D treatment targets, but is still not fully understood. The aims of the present cross-sectional, register-based study were to evaluate the prevalence and the most common patterns of multimorbidity among patients with T2D; and to study the potential associations between multimorbidity and treatment goal achievement, including measurements of glycosylated haemoglobin A1c (HbA1c), low-density lipoprotein (LDL) and systolic blood pressure (sBP). Methods The study population consisted of 4545 primary care patients who received a T2D diagnosis between January 2011 and July 2019 in Rovaniemi Health Centre, Finland. Data on seven long-term concordant (T2D-related) diseases, eight long-term discordant (non-T2D-related) diseases, potential confounders (age, sex, body mass index, prescribed medication), and the outcomes studied were collected from patients’ records. Logistic regression models with odds ratios (ORs) and 95 % confidence intervals (CIs) were assessed to determine the associations between multimorbidity and the achievement of treatment targets. Results Altogether, 93 % of the patients had one or more diseases in addition to T2D, i.e. were considered multimorbid. Furthermore, 21 % had only concordant disease(s) (Concordant subgroup), 8 % had only discordant disease(s) (Discordant subgroup) and 64 % had both (Concordant and discordant subgroup). As either single diseases or in combination with others, hypertension, musculoskeletal (MS) disease and hyperlipidaemia were the most prevalent multimorbidity patterns. Being multimorbid in general (OR 1.32, CI 1.01–1.70) and belonging to the Concordant (OR 1.45, CI 1.08–1.95) and Concordant and discordant (OR 1.31, CI 1.00–1.72) subgroups was associated with achievement of the HbA1c treatment target. Belonging to the Concordant and discordant subgroup was related to meeting the LDL treatment target (OR 1.31, CI 1.00–1.72). Conclusions Multimorbidity, including cardiovascular risk and the musculoskeletal disease burden, was extremely prevalent among the T2D patients who consulted primary health care. Primary care clinicians should survey the possible co-existence of long-term diseases among T2D patients to help maintain adequate treatment of T2D.
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Affiliation(s)
- Eveliina Heikkala
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland. .,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland. .,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland.
| | - Ilona Mikkola
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland
| | - Jari Jokelainen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Maria Hagnäs
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland.,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
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Latinos' Conceptualization of Depression, Diabetes, and Mental Health-Related Stigma. J Racial Ethn Health Disparities 2021; 9:1912-1922. [PMID: 34508304 PMCID: PMC8432279 DOI: 10.1007/s40615-021-01129-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 11/23/2022]
Abstract
Depression and diabetes are two of the most common health conditions experienced by those from Latino backgrounds. However, community-based stigma toward these health conditions may discourage those experiencing symptoms of depression or diabetes from seeking professional assistance. To assess stigma in the Latino community toward these common health conditions, a community-based sample of 469 Latino participants in a major urban area in the [Southwestern United States — Houston, TX] completed a face-to-face survey using an experimental vignette methodology. Participants were asked to name the problem that the subject of the vignette was experiencing based on the symptoms described in the vignette. This survey also inquired about public stigma toward individuals experiencing symptoms of depression and/or diabetes. Results indicate that although the majority (60%) of the sample were able to correctly identify symptoms of depression, it was more difficult for them to identify symptoms of depression with co-occurring diabetes. Overall levels of public stigma toward those experiencing depression were moderate, and co-occurring symptoms of diabetes did not moderate stigma toward those experiencing depression. These findings indicate a need for intervention approaches within the Latino community to increase health literacy related to depression and type 2 diabetes, as well as an ongoing need to reduce stigma toward those experiencing symptoms of depression. Implications for future research, practice, and health promotion are discussed.
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Cha S, Kim SS. Comorbidity Patterns of Mood Disorders in Adult Inpatients: Applying Association Rule Mining. Healthcare (Basel) 2021; 9:1155. [PMID: 34574929 PMCID: PMC8470302 DOI: 10.3390/healthcare9091155] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/20/2021] [Accepted: 08/30/2021] [Indexed: 11/26/2022] Open
Abstract
This study explored physical and psychiatric comorbidities of mood disorders using association rule mining. There were 7709 subjects who were patients (≥19 years old) diagnosed with mood disorders and included in the data collected by the Korean National Hospital Discharge In-depth Injury Survey (KNHDS) between 2006 and 2018. Physical comorbidities (46.17%) were higher than that of psychiatric comorbidities (27.28%). The frequent comorbidities of mood disorders (F30-F39) were hypertensive diseases (I10-I15), neurotic, stress-related and somatoform disorders (F40-F48), diabetes mellitus (E10-E14), and diseases of esophagus, stomach, and duodenum (K20-K31). The bidirectional association path of mood disorders (F30-F39) with hypertensive diseases (I10-I15) and diabetes mellitus (E10-E14) were the strongest. Depressive episodes (F32) and recurrent depressive disorders (F33) revealed strong bidirectional association paths with other degenerative diseases of the nervous system (G30-G32) and organic, including symptomatic and mental disorders (F00-F09). Bipolar affective disorders (F31) revealed strong bidirectional association paths with diabetes mellitus (E10-E14) and hypertensive diseases (I10-I15). It was found that different physical and psychiatric disorders are comorbid according to the sub-classification of mood disorders. Understanding the comorbidity patterns of major comorbidities for each mood disorder can assist mental health providers in treating and managing patients with mood disorders.
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Affiliation(s)
- Sunkyung Cha
- Department of Nursing Science, Sunmoon University, Asan 31460, Korea;
| | - Sung-Soo Kim
- Department of Health Administration & Healthcare, Cheongju University, Cheongju 28503, Korea
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Oude Voshaar RC, Aprahamian I, Borges MK, van den Brink RHS, Marijnissen RM, Hoogendijk EO, van Munster B, Jeuring HW. Excess mortality in depressive and anxiety disorders: The Lifelines Cohort Study. Eur Psychiatry 2021; 64:e54. [PMID: 34462033 PMCID: PMC8446070 DOI: 10.1192/j.eurpsy.2021.2229] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background To examine the mortality risk of current and life-time depressive as well as anxiety disorders, whether this risk is moderated by sex or age, and whether this risk can be explained by lifestyle and/or somatic health status. Methods A cohort study (Lifelines) including 141,377 participants (18–93 years) which were followed-up regarding mortality for 8.6 years (range 3.0–13.7). Baseline depressive and anxiety disorders according to Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria were assessed with the Mini International Neuropsychiatric Interview and lifetime diagnoses by self-report. All-cause mortality was retrieved from Statistics Netherlands. Cox-regression was applied to calculate proportional hazard ratios, adjusted for lifestyle (physical activity, alcohol use, smoking, and body mass index) and somatic health status (multimorbidity and frailty) in different models. Results The mortality rate of depressive and anxiety disorders was conditional upon age but not on sex. Only in people below 60 years, current depressive and anxiety disorders were associated with mortality. Only depressive disorder and panic disorder independently predicted mortality when all mental disorders were included simultaneously in one overall model (hazard ratio [HR] = 2.18 [95% confidence intervals (CI): 1.56–3.05], p < 0.001 and HR = 2.39 [95% CI: 1.15–4.98], p = 0.020). Life-time depressive and anxiety disorders, however, were independent of each other associated with mortality. Associations hardly changed when adjusted for lifestyle characteristics but decreased substantially when adjusted for somatic health status (in particular physical frailty). Conclusions In particular, depressive disorder is associated with excess mortality in people below 60 years, independent of their lifestyle. This effect seems partly explained by multimorbidity and frailty, which suggest that chronic disease management of depression-associated somatic morbidity needs to be (further) improved.
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Affiliation(s)
- R C Oude Voshaar
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - I Aprahamian
- Faculty of Medicine of Jundiaí, Internal Medicine Department, Group of Investigation on Multimorbidity and Mental Health in Aging (GIMMA), Jundiaí, Brazil
| | - M K Borges
- Department of Psychiatry, Universidade Federal do Paraná, Curitiba, Brazil
| | - R H S van den Brink
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - R M Marijnissen
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - E O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam UMC - location VU University Medical Center, Amsterdam, The Netherlands
| | - B van Munster
- Department of Internal Medicine and Geriatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - H W Jeuring
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Jeong M. Factors Associated with Depressive Symptoms in Korean Adults with Diabetes Mellitus: A Cross-Sectional Study. Healthcare (Basel) 2021; 9:healthcare9081049. [PMID: 34442186 PMCID: PMC8391106 DOI: 10.3390/healthcare9081049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 11/16/2022] Open
Abstract
Depressive symptoms in adults with diabetes are influenced by sociodemographic status, health-related behaviors, and comorbid diseases. This study aimed to examine the factors related to depressive symptoms in Korean adults with diabetes, using data from the Korea National Health and Nutrition Examination Surveys for 2014, 2016, and 2018. A total of 1529 Korean adults with diabetes were selected as subjects for the analysis. The age group of the participants was 19-80 years, with a mean age of 63.34 ± 0.68 years. The depressive symptoms and severity were assessed using the Korean version of the Patient Health Questionnaire-9. Descriptive statistics, chi-squared tests, and univariate and multivariable logistic regression analyses were used by applying a complex sample analysis method. The findings showed that 9.6% of Korean adults with diabetes exhibited moderate to severe depressive symptoms, which gradually decreased during 2014-2018. The most significant independent factors of depressive symptoms were living without a spouse, unemployment, low household income, fair or poor subjective health conditions, high perceived stress, a diabetes duration of over 20 years, and stroke. In females, living without a spouse, low household income, poor subjective health condition, high perceived stress, stroke, and coronary heart disease were significantly associated with depressive symptoms. In males, living without a spouse, unemployment, poor subjective health condition, high perceived stress, and hypertension were significantly associated with depressive symptoms. These findings highlight the importance of regular screening for depressive symptoms in patients with diabetes as the prevalence of depressive symptoms in people with diabetes may be higher than those in the general population. Future studies should also examine the development and effectiveness of psychosocial intervention programs to decrease depressive symptoms in patients with diabetes, considering cost-effective and time-saving approaches.
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Affiliation(s)
- Mihyun Jeong
- Department of Nursing, Changshin University, Changwon 51352, Korea
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Aschner P, Gagliardino JJ, Ilkova H, Lavalle F, Ramachandran A, Mbanya JC, Shestakova M, Bourhis Y, Chantelot JM, Chan JCN. High Prevalence of Depressive Symptoms in Patients With Type 1 and Type 2 Diabetes in Developing Countries: Results From the International Diabetes Management Practices Study. Diabetes Care 2021; 44:1100-1107. [PMID: 33963019 PMCID: PMC8132319 DOI: 10.2337/dc20-2003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 02/19/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Depression is common in people with diabetes, but data from developing countries are scarce. We evaluated the prevalence and risk factors for depressive symptoms in patients with diabetes using data from the International Diabetes Management Practices Study (IDMPS). RESEARCH DESIGN AND METHODS IDMPS is an ongoing multinational, cross-sectional study investigating quality of care in patients with diabetes in real-world settings. Data from wave 5 (2011), including 21 countries, were analyzed using the 9-item Patient Health Questionnaire (PHQ-9) to evaluate depressive symptoms. Logistic regression analyses were conducted to identify risk factors of depressive symptoms. RESULTS Of 9,865 patients eligible for analysis, 2,280 had type 1 and 7,585 had type 2 diabetes (treatment: oral glucose-lowering drugs [OGLD] only, n = 4,729; OGLDs plus insulin, n = 1,892; insulin only, n = 964). Depressive symptoms (PHQ-9 score ≥5) were reported in 30.7% of those with type 1 diabetes. In patients with type 2 diabetes, the respective figures were 29.0% for OGLDs-only, 36.6% for OGLDs-plus-insulin, and 46.7% for insulin-only subgroups. Moderate depressive symptoms (PHQ-9 score 10-19) were observed in 8-16% of patients with type 1 or type 2 diabetes. Female sex, complications, and low socioeconomic status were independently associated with depressive symptoms. In type 1 diabetes and in the type 2 diabetes OGLDs-only group, depression was associated with poor glycemic control. CONCLUSIONS Depressive symptoms are common in patients with diabetes from developing countries, calling for routine screening, especially in high-risk groups, to reduce the double burden of diabetes and depression and their negative interaction.
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Affiliation(s)
- Pablo Aschner
- Pontificia Universidad Javeriana, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Juan José Gagliardino
- El Centro de Endocrinología Experimental y Aplicada (CENEXA) (UNLP-CONICET-CEAS CICPBA), Facultad de Ciencias Médicas, Universidad Nacional de La Plata (UNLP), La Plata, Buenos Aires, Argentina
| | - Hasan Ilkova
- Division of Endocrinology Metabolism and Diabetes, Department of Internal Medicine, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Fernando Lavalle
- Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Ambady Ramachandran
- India Diabetes Research Foundation, Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Jean Claude Mbanya
- Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | | | | | | | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, The Prince of Wales Hospital, Shatin, Hong Kong SAR, China
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Choi JS, Jang SS, Kim J, Hur K, Ference E, Wrobel B. Association Between Olfactory Dysfunction and Mortality in US Adults. JAMA Otolaryngol Head Neck Surg 2021; 147:49-55. [PMID: 33090196 DOI: 10.1001/jamaoto.2020.3502] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Importance A study of olfactory dysfunction and mortality in a large national cohort will aid in better understanding their association when accounting for multiple relevant factors and possible underlying mechanisms. Objective To investigate the association of olfactory dysfunction with all-cause 5-year mortality in US adults. Design, Setting, and Participants This cohort study included participants 40 years or older from the 2013-2014 National Health and Nutritional Examination Survey who had data on olfaction and mortality (n = 3503). Olfaction was assessed by self-report and objective test (8-odor Pocket Smell Test). Mortality was determined by linking with the National Death Index through February 24, 2019. Data were analyzed from July 1 to September 30, 2019. Main Outcomes and Measures Olfaction and 5-year mortality. Cox proportional regression models were used to examine the associations between olfaction and mortality while adjusting for demographics and medical comorbidities. Multivariate models were further adjusted for depression and cognitive assessments. Results Among the 3503 participants (1831 women [52.3%]; mean [SD] age, 59.0 [12.0] years), the prevalence of olfactory dysfunction was 13.5% (95% CI, 11.0%-16.0%) based on results of an objective smell test and 21.6% (95% CI, 18.9%-24.2%) based on self-report. Risk of mortality increased by 18% (95% CI, 7%-29%) per 1-point decrease in smell test score in a multivariate model. The association was significant among adults 65 years or older in association with binary (hazard ratio [HR], 1.95; 95% CI, 1.19-3.21) and linear (HR, 1.19; 95% CI, 1.08-1.31) measures of objective olfactory dysfunction, but not among adults aged 40 to 64 years. There was no association between self-reported olfactory dysfunction and mortality. The association between objective olfactory dysfunction and mortality remained after further adjusting for cognitive assessment battery and depression among older adults (HR, 1.18; 95% CI, 1.01-1.37). Conclusions and Relevance These findings suggest that objective olfactory dysfunction is associated with increased mortality among older adults. In addition to its effect on quality of life, the association of olfactory dysfunction with mortality has implications for physical and cognitive health.
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Affiliation(s)
- Janet S Choi
- Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine of the University of Southern California, Los Angeles
| | | | - Jeehong Kim
- Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine of the University of Southern California, Los Angeles
| | - Kevin Hur
- Department of Otolaryngology-Head and Neck Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Elisabeth Ference
- Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine of the University of Southern California, Los Angeles
| | - Bozena Wrobel
- Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine of the University of Southern California, Los Angeles
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Luong H, Singh S, Patil M, Krishnamurthy P. Cardiac glycosaminoglycans and structural alterations during chronic stress-induced depression-like behavior in mice. Am J Physiol Heart Circ Physiol 2021; 320:H2044-H2057. [PMID: 33834865 DOI: 10.1152/ajpheart.00635.2020] [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] [Indexed: 11/22/2022]
Abstract
Major depressive disorder (MDD) is an independent risk factor for cardiovascular disease (CVD) and its complications; however, causal mechanisms remain unclear. In the present study, we investigate cardiac structural and functional alterations and associated changes in myocardial glycosaminoglycans (GAGs) disaccharide profile in mice that exhibit depression-like behavior. Mice were assigned to the chronic mild stress (CMS) group and nonstress control group (CT). The CMS group was exposed to a series of mild, unpredictable stressors for 7 wk. Mice in the CMS group show a significant decrease in protein expression of hippocampal brain-derived neurotrophic factor (BDNF) and exhibit depression-like behavioral changes, such as learned helplessness and decreased exploration behavior, as compared with the control group. Although cardiac function remained unchanged between the groups, echocardiography analysis showed slightly increased left ventricular wall thickness in the CMS group. Furthermore, the CMS group shows an increase in cardiomyocyte cross-sectional area and an associated decrease in BDNF protein expression and increase in IL-6 mRNA expression, when compared with control mice. GAG disaccharide analysis of the left ventricles of the CMS and CT mice revealed an elevation in heparan (HS) and chondroitin sulfate (CS) content in the CMS hearts (35.3% and 17.9%, respectively, vs. control group). Furthermore, we also observed that unsulfated or monosulfated disaccharides were the most abundant units; however, we did not find any significant difference in mole percent or sulfation pattern of HS/CS disaccharides between the groups. The current investigation highlights a need for further research to explore the relationship between cardiac GAGs biology and myocardial remodeling as a causal mechanism that underlie cardiovascular complications in patients with MDD.NEW & NOTEWORTHY Comorbidity between depression and CVD is well established, whereas its etiology, especially the role of nonfibrous components (proteoglycans/GAGs) of the extracellular matrix, is unexplored. To the best of our knowledge, this is the first study to characterize cardiac proteoglycan/glycosaminoglycan profile in response to depression-like behavioral changes in mice. We observed that chronic mild stress (CMS)-induced depression-like behavior and alterations in glycosaminoglycan profile were associated with structural changes in the heart.
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Affiliation(s)
- Hien Luong
- Department of Biomedical Engineering, Schools of Medicine and Engineering, University of Alabama at Birmingham, Birmingham, Alabama
| | - Sarojini Singh
- Department of Biomedical Engineering, Schools of Medicine and Engineering, University of Alabama at Birmingham, Birmingham, Alabama
| | - Mallikarjun Patil
- Department of Biomedical Engineering, Schools of Medicine and Engineering, University of Alabama at Birmingham, Birmingham, Alabama
| | - Prasanna Krishnamurthy
- Department of Biomedical Engineering, Schools of Medicine and Engineering, University of Alabama at Birmingham, Birmingham, Alabama
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Farooqi AT, Snoek FJ, Khunti K. Management of chronic cardiometabolic conditions and mental health during COVID-19. Prim Care Diabetes 2021; 15:21-23. [PMID: 32917554 PMCID: PMC7831728 DOI: 10.1016/j.pcd.2020.08.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 08/12/2020] [Accepted: 08/27/2020] [Indexed: 11/18/2022]
Affiliation(s)
| | - F J Snoek
- Amsterdam UMC University Medical Centers, Netherlands
| | - K Khunti
- Diabetes Research Centre, University of Leicester, United Kingdom
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Lunghi C, Zongo A, Tardif I, Demers É, Diendéré JDR, Guénette L. Depression but not non-persistence to antidiabetic drugs is associated with mortality in type 2 diabetes: A nested case-control study. Diabetes Res Clin Pract 2021; 171:108566. [PMID: 33271227 DOI: 10.1016/j.diabres.2020.108566] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/09/2020] [Accepted: 11/16/2020] [Indexed: 01/06/2023]
Abstract
AIMS To measure the effect of depression on mortality of individuals newly treated with antidiabetic drugs, accounting for non-persistence to treatment. METHODS We conducted a nested case-control study within a cohort of newly treated individuals with diabetes. Using Quebec administrative data, we identified all-cause, diabetes-related, cardiovascular-related and major cardiovascular event deaths during a maximum follow-up of eight years. Each case was matched with up to 10 controls by age, sex, follow-up, and comorbidity index. We used conditional logistic regressions to estimate the effect of depression on mortality, adjusting for non-persistence to antidiabetic drug treatment, and other variables. RESULTS We retrieved 13,558 deaths, of which 3,652 were related to cardiovascular diseases, 2,112 to major cardiovascular events, and 311 to diabetes. Depression was associated with an increased risk of all-cause and cardiovascular-related deaths, with adjusted odds ratios (ORs) ranging from 1.32 (95% CI: 1.21-1.45) to 1.72 (95% CI: 1.57-1.88) depending on the model, but not with diabetes-related mortality. CONCLUSION Depression is independently associated with all-cause and cardiovascular-related mortality in individuals with type 2 diabetes, even when adjusting for non-persistence to antidiabetic drug treatment. Identifying risk factors for depression and implementing a screening and proper treatment for depression may help reducing mortality.
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Affiliation(s)
- Carlotta Lunghi
- Department of Health Sciences, Université du Québec à Rimouski, 1595 boulevard Alphonse-Desjardins, Lévis (QC), Canada; Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec, 1050 chemin Ste-Foy, Quebec City (QC) Canada; Faculty of Pharmacy, 1050 avenue de la Médecine, Université Laval, Quebec City (QC) Canada.
| | - Arsène Zongo
- Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec, 1050 chemin Ste-Foy, Quebec City (QC) Canada; Faculty of Pharmacy, 1050 avenue de la Médecine, Université Laval, Quebec City (QC) Canada
| | - Isabelle Tardif
- Faculty of Medicine, 1050 avenue de la Médecine, Université Laval, Quebec City (QC) Canada
| | - Éric Demers
- Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec, 1050 chemin Ste-Foy, Quebec City (QC) Canada
| | - Joël Désiré Relwende Diendéré
- Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec, 1050 chemin Ste-Foy, Quebec City (QC) Canada; Faculty of Pharmacy, 1050 avenue de la Médecine, Université Laval, Quebec City (QC) Canada
| | - Line Guénette
- Axe Santé des Populations et Pratiques Optimales en Santé (SP-POS), Centre de recherche du CHU de Quebec, 1050 chemin Ste-Foy, Quebec City (QC) Canada; Faculty of Pharmacy, 1050 avenue de la Médecine, Université Laval, Quebec City (QC) Canada
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Inoue K, Beekley J, Goto A, Jeon CY, Ritz BR. Depression and cardiovascular disease events among patients with type 2 diabetes: A systematic review and meta-analysis with bias analysis. J Diabetes Complications 2020; 34:107710. [PMID: 32921574 PMCID: PMC7467011 DOI: 10.1016/j.jdiacomp.2020.107710] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/22/2020] [Accepted: 08/18/2020] [Indexed: 12/31/2022]
Abstract
AIMS To provide updated systematic and quantitative summary of the association between depression and the risk of CVD events among individuals with type 2 diabetes. We also aimed to examine the sensitivity of the association to uncontrolled confounding. METHODS Data sources included Medline, Embase, and PsycInfo through September 2019. Two independent reviewers selected cohort studies that evaluated the association between depression and fatal or non-fatal CVD events among individuals with type 2 diabetes. Bias analysis was performed using the bias formula approach. RESULTS Of 2527 citations screened, 17 eligible studies with a total of 1,033,131 participants were identified. Based on random-effects meta-analysis, depression was associated with higher risks of non-fatal CVD events (relative risk 1.35, 95% confidence interval [CI] 1.20 to 1.53) and fatal CVD event (relative risk 1.47, 95% CI 1.21 to 1.77). Bias analysis indicated that unmeasured confounders alone may not explain the observed association between depression and CVD events among individuals with type 2 diabetes. CONCLUSIONS Depression was associated with a higher risk of non-fatal and fatal CVD events among individuals with type 2 diabetes. Our findings provide updated and robust evidence about the association between depression and CVD events among individuals with type 2 diabetes.
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Affiliation(s)
- Kosuke Inoue
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, United States; Division of Nephrology and Endocrinology, University of Tokyo Graduate School of Medicine, Tokyo, Japan..
| | - James Beekley
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, United States
| | - Atsushi Goto
- Metabolic Epidemiology Section, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Christie Y Jeon
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Beate R Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, United States; Department of Environmental Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, United States; Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States
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Kessing LV, Rytgaard HC, Ekstrøm CT, Knop FK, Berk M, Gerds TA. Antidiabetes Agents and Incident Depression: A Nationwide Population-Based Study. Diabetes Care 2020; 43:3050-3060. [PMID: 32978179 DOI: 10.2337/dc20-1561] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 08/27/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Diabetes is associated with an increased risk of depression. Some antidiabetes agents, specifically metformin and pioglitazone, have been suggested to have beneficial effects on depression, but associations between antidiabetes drugs and depression have not been systematically investigated. RESEARCH DESIGN AND METHODS We combined four Danish population-based registers to investigate whether the 20 most widely used orally administered antidiabetes drugs were associated with an altered risk of incident depression. Analyses of insulin were included for comparisons. All persons in Denmark in 2005 were included in the study and followed until 2015. Two different outcome measures of incident depression were included: 1) a diagnosis of depressive disorder at a psychiatric hospital as an inpatient or outpatient and 2) a combined measure of a diagnosis of depression or use of antidepressants. Data were analyzed using Cox regression models. RESULTS A total of 360,205 individuals using orally administered antidiabetes drugs and 64,582 using insulin at any time during the study period were included in the analyses. Continued use of metformin and combinations of drugs including metformin were associated with decreased rates of incident depression. Pioglitazone was not associated with a decreased rate of incident depression. No other antidiabetes drugs or insulin showed significant associations with depression. CONCLUSIONS Real-life population-based data suggest a positive effect of metformin on depression rates. This evidence should be used in guiding prescriptions for patients with type 2 diabetes who are at risk for developing depression, including those with prior depression or anxiety and patients with a family history of depression.
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Affiliation(s)
- Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center, Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark .,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Filip Krag Knop
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.,Steno Diabetes Center Copenhagen, Gentofte, Denmark.,Novo Nordisk Foundation, Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation, Barwon Health, School of Medicine, Deakin University, Geelong, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Department of Psychiatry, Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
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Guerrero Fernández de Alba I, Gimeno-Miguel A, Poblador-Plou B, Gimeno-Feliu LA, Ioakeim-Skoufa I, Rojo-Martínez G, Forjaz MJ, Prados-Torres A. Association between mental health comorbidity and health outcomes in type 2 diabetes mellitus patients. Sci Rep 2020; 10:19583. [PMID: 33177607 PMCID: PMC7658226 DOI: 10.1038/s41598-020-76546-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 10/28/2020] [Indexed: 12/18/2022] Open
Abstract
Type 2 diabetes mellitus (T2D) is often accompanied by chronic diseases, including mental health problems. We aimed at studying mental health comorbidity prevalence in T2D patients and its association with T2D outcomes through a retrospective, observational study of individuals of the EpiChron Cohort (Aragón, Spain) with prevalent T2D in 2011 (n = 63,365). Participants were categorized as having or not mental health comorbidity (i.e., depression, anxiety, schizophrenia, and/or substance use disorder). We performed logistic regression models, controlled for age, sex and comorbidities, to analyse the likelihood of 4-year mortality, 1-year all-cause hospitalization, T2D-hospitalization, and emergency room visit. Mental health comorbidity was observed in 19% of patients. Depression was the most frequent condition, especially in women (20.7% vs. 7.57%). Mortality risk was higher in patients with mental health comorbidity (odds ratio 1.24; 95% confidence interval 1.16-1.31), especially in those with substance use disorder (2.18; 1.84-2.57) and schizophrenia (1.82; 1.50-2.21). Mental health comorbidity also increased the likelihood of all-cause hospitalization (1.16; 1.10-1.23), T2D-hospitalization (1.51; 1.18-1.93) and emergency room visit (1.26; 1.21-1.32). These results suggest that T2D healthcare management should include specific strategies for the early detection and treatment of mental health problems to reduce its impact on health outcomes.
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Affiliation(s)
| | - Antonio Gimeno-Miguel
- EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Health Services Research On Chronic Patients Network (REDISSEC), Miguel Servet University Hospital, 50009, Zaragoza, Spain.
| | - Beatriz Poblador-Plou
- EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Health Services Research On Chronic Patients Network (REDISSEC), Miguel Servet University Hospital, 50009, Zaragoza, Spain
| | - Luis Andrés Gimeno-Feliu
- EpiChron Research Group, IIS Aragón, REDISSEC, University of Zaragoza, Servicio Aragonés de Salud (SALUD), Primary Care Health Centre San Pablo, 50009, Zaragoza, Spain
| | | | - Gemma Rojo-Martínez
- Regional University Hospital of Málaga, Endocrinology and Nutrition Department, IBIMA, University of Malaga, CIBERDEM, 29010, Málaga, Spain
| | - Maria João Forjaz
- National Centre of Epidemiology, Institute of Health Carlos III, REDISSEC, 28029, Madrid, Spain
| | - Alexandra Prados-Torres
- EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Health Services Research On Chronic Patients Network (REDISSEC), Miguel Servet University Hospital, 50009, Zaragoza, Spain
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Landgraf R. Prävention, Remission oder Verzögerung der Typ-2-Diabetes-Manifestation – Teil 1. DIABETOL STOFFWECHS 2020. [DOI: 10.1055/a-0872-6365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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