The impact of major depressive disorder on glycaemic control in type 2 diabetes: a longitudinal cohort study using UK Biobank primary care records

This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses. In UK Biobank,...

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Published inBMC medicine Vol. 22; no. 1; p. 211
Main Authors Gillett, Alexandra C, Hagenaars, Saskia P, Handley, Dale, Casanova, Francesco, Young, Katherine G, Green, Harry, Lewis, Cathryn M, Tyrrell, Jess
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 29.05.2024
BioMed Central
BMC
Subjects
Adult
Aged
Analysis
Biobanks
Biological Specimen Banks
Biomarkers
Blood pressure
Body mass index
Care and treatment
Cohort Studies
Complications and side effects
Depressive Disorder, Major - blood
Depressive Disorder, Major - epidemiology
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - blood
Diabetes therapy
Diagnosis
Epidemiology
Ethnicity
Female
Glycated Hemoglobin - analysis
Glycemic Control
Glycosylated hemoglobin
HbA1c
Health aspects
Humans
Longitudinal
Longitudinal Studies
Major depressive disorder
Male
Measurement
Medical records
Mental depression
Middle Aged
Primary care
Primary Health Care
Risk factors
Self report
Type 2 diabetes
UK Biobank
United Kingdom - epidemiology
United Kingdom
United Kingdom > UK
Type 2 diabetes
Longitudinal
Epidemiology
HbA1c
Major depressive disorder
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Abstract This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses. In UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered. T2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis ( , 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13-1.19) times higher in post-T2D MDD individuals. The timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D.
AbstractList BackgroundThis study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses.MethodsIn UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered.ResultsT2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis (\(\beta =0.51\), 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13–1.19) times higher in post-T2D MDD individuals.ConclusionsThe timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D.
Abstract Background This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses. Methods In UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered. Results T2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis ( $$\beta =0.51$$ β = 0.51 , 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13–1.19) times higher in post-T2D MDD individuals. Conclusions The timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D.
BACKGROUNDThis study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses.METHODSIn UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered.RESULTST2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis ( β = 0.51 , 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13-1.19) times higher in post-T2D MDD individuals.CONCLUSIONSThe timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D.
This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses. In UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered. T2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis ( , 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13-1.19) times higher in post-T2D MDD individuals. The timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D.
Abstract Background This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses. Methods In UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered. Results T2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis ( $$\beta =0.51$$ β = 0.51 , 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13–1.19) times higher in post-T2D MDD individuals. Conclusions The timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D.
Background This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses. Methods In UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered. Results T2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis ([formula omitted], 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13-1.19) times higher in post-T2D MDD individuals. Conclusions The timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D. Keywords: Type 2 diabetes, Major depressive disorder, HbA1c, Longitudinal, Epidemiology
This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c) levels, and major depressive disorder (MDD) in individuals with type 2 diabetes (T2D), focusing on the timings of these diagnoses. In UK Biobank, T2D was defined using self-report and linked health outcome data, then validated using polygenic scores. Repeated HbA1c measurements (mmol/mol) over the 10 years following T2D diagnosis were outcomes in mixed effects models, with disease duration included using restricted cubic splines. Four MDD exposures were considered: MDD diagnosis prior to T2D diagnosis (pre-T2D MDD), time between pre-T2D MDD diagnosis and T2D, new MDD diagnosis during follow-up (post-T2D MDD) and time since post-T2D MDD diagnosis. Models with and without covariate adjustment were considered. T2D diagnostic criteria were robustly associated with T2D polygenic scores. In 11,837 T2D cases (6.9 years median follow-up), pre-T2D MDD was associated with a 0.92 increase in HbA1c (95% CI: [0.00, 1.84]), but earlier pre-T2D MDD diagnosis correlated with lower HbA1c. These pre-T2D MDD effects became non-significant after covariate adjustment. Post-T2D MDD individuals demonstrated increasing HbA1c with years since MDD diagnosis ([formula omitted], 95% CI: [0.17, 0.86]). Retrospectively, across study follow-up, within-patient variability in HbA1c was 1.16 (95% CI: 1.13-1.19) times higher in post-T2D MDD individuals. The timing of MDD diagnosis is important for understanding glycaemic control in T2D. Poorer control was observed in MDD diagnosed post-T2D, highlighting the importance of depression screening in T2D, and closer monitoring for individuals who develop MDD after T2D.
ArticleNumber 211
Audience Academic
Author Green, Harry
Lewis, Cathryn M
Tyrrell, Jess
Young, Katherine G
Handley, Dale
Gillett, Alexandra C
Hagenaars, Saskia P
Casanova, Francesco
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Cites_doi 10.1186/s12874-019-0666-3
10.1016/j.jad.2013.06.009
10.1902/jop.2016.150266
10.1097/QAI.0000000000001221
10.1136/bmj.i1575
10.1016/j.genhosppsych.2008.07.001
10.1371/journal.pmed.1001779
10.4239/wjd.v5.i4.444
10.1136/bmjopen-2013-003389
10.1371/journal.pone.0081254
10.2337/dc15-1188
10.1038/s41596-020-0353-1
10.1007/s11154-016-9347-2
10.1002/ajmg.b.32807
10.1016/j.jpsychores.2016.12.015
10.1093/ije/dyv098
10.2337/dc08-0985
10.1111/dme.14054
10.1186/s12874-022-01831-2
10.2337/db16-1253
10.1016/j.jdiacomp.2004.01.002
10.1001/archpsyc.62.6.593
10.4137/BMI.S38440
10.1016/j.ajhg.2022.01.018
10.1186/1471-2288-9-57
10.18637/jss.v045.i07
10.1111/dom.12971
10.1093/ije/dyab265
10.1186/s12874-020-01023-w
10.1093/gigascience/giz082
10.1007/978-1-4419-0318-1
10.1136/bmj.k1951
10.1111/dme.14671
10.1007/978-1-4757-3462-1
10.1038/s41380-021-01062-9
10.1007/s11892-014-0491-3
10.1007/s00125-006-0159-x
10.1016/j.clinthera.2020.12.015
10.18742/rnvf-m076
10.1038/s41586-018-0579-z
10.2337/dc08-1341
10.1017/S2045796020000049
10.1038/s41409-019-0679-x
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Issue 1
Keywords Type 2 diabetes
Longitudinal
Epidemiology
HbA1c
Major depressive disorder
Language English
License 2024. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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References MJ Knol (3425_CR2) 2006; 49
LK Richardson (3425_CR38) 2008; 30
3425_CR5
I Martín-Timón (3425_CR6) 2014; 5
A Gummesson (3425_CR45) 2017; 19
J Gauthier (3425_CR30) 2020; 55
SP Hagenaars (3425_CR14) 2020; 183
3425_CR22
3425_CR44
3425_CR23
C Fabbri (3425_CR18) 2021; 26
3425_CR42
3425_CR26
3425_CR48
RA Scott (3425_CR24) 2017; 66
3425_CR25
B Mezuk (3425_CR3) 2008; 31
3425_CR28
3425_CR29
S Ko (3425_CR21) 2022; 109
E Herrett (3425_CR47) 2015; 44
DG Bruce (3425_CR10) 2013; 8
A Nouwen (3425_CR4) 2019; 36
C Gorst (3425_CR7) 2015; 38
A Perperoglou (3425_CR35) 2019; 19
A Schmitt (3425_CR39) 2017; 94
M Beran (3425_CR9) 2022; 39
S Sherwani (3425_CR8) 2016; 11
A Marshall (3425_CR33) 2009; 9
RE Farmer (3425_CR16) 2021; 43
3425_CR34
J Škrha (3425_CR36) 2016; 17
3425_CR32
S Kalia (3425_CR43) 2023; 23
PJ Lustman (3425_CR40) 2005; 19
3425_CR13
3425_CR19
J Honaker (3425_CR31) 2011; 45
R Huerta-Ramírez (3425_CR37) 2013; 150
3425_CR17
J Pinheiro (3425_CR27) 2000
H McGuire (3425_CR11) 2016; 353
KG Young (3425_CR20) 2022; 51
RC Kessler (3425_CR46) 2005; 62
RIG Holt (3425_CR1) 2014; 14
C Sudlow (3425_CR12) 2015; 12
C Bycroft (3425_CR15) 2018; 562
JS Gonzalez (3425_CR41) 2008; 31
References_xml – ident: 3425_CR13
– volume: 19
  start-page: 46
  year: 2019
  ident: 3425_CR35
  publication-title: BMC Med Res Methodol
  doi: 10.1186/s12874-019-0666-3
  contributor:
    fullname: A Perperoglou
– volume: 150
  start-page: 1247
  year: 2013
  ident: 3425_CR37
  publication-title: J Affect Disord
  doi: 10.1016/j.jad.2013.06.009
  contributor:
    fullname: R Huerta-Ramírez
– ident: 3425_CR17
  doi: 10.1902/jop.2016.150266
– ident: 3425_CR34
  doi: 10.1097/QAI.0000000000001221
– volume: 353
  year: 2016
  ident: 3425_CR11
  publication-title: BMJ
  doi: 10.1136/bmj.i1575
  contributor:
    fullname: H McGuire
– volume: 30
  start-page: 509
  year: 2008
  ident: 3425_CR38
  publication-title: Gen Hosp Psychiatry
  doi: 10.1016/j.genhosppsych.2008.07.001
  contributor:
    fullname: LK Richardson
– volume: 12
  year: 2015
  ident: 3425_CR12
  publication-title: PLoS Med
  doi: 10.1371/journal.pmed.1001779
  contributor:
    fullname: C Sudlow
– ident: 3425_CR19
– ident: 3425_CR32
– volume: 5
  start-page: 444
  year: 2014
  ident: 3425_CR6
  publication-title: World J Diabetes
  doi: 10.4239/wjd.v5.i4.444
  contributor:
    fullname: I Martín-Timón
– ident: 3425_CR22
  doi: 10.1136/bmjopen-2013-003389
– volume: 8
  year: 2013
  ident: 3425_CR10
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0081254
  contributor:
    fullname: DG Bruce
– volume: 38
  start-page: 2354
  year: 2015
  ident: 3425_CR7
  publication-title: Diabetes Care
  doi: 10.2337/dc15-1188
  contributor:
    fullname: C Gorst
– ident: 3425_CR26
  doi: 10.1038/s41596-020-0353-1
– volume: 17
  start-page: 103
  year: 2016
  ident: 3425_CR36
  publication-title: Rev Endocr Metab Disord
  doi: 10.1007/s11154-016-9347-2
  contributor:
    fullname: J Škrha
– volume: 183
  start-page: 309
  year: 2020
  ident: 3425_CR14
  publication-title: Am J Med Genet B Neuropsychiatr Genet
  doi: 10.1002/ajmg.b.32807
  contributor:
    fullname: SP Hagenaars
– volume: 94
  start-page: 17
  year: 2017
  ident: 3425_CR39
  publication-title: J Psychosom Res
  doi: 10.1016/j.jpsychores.2016.12.015
  contributor:
    fullname: A Schmitt
– volume: 44
  start-page: 827
  year: 2015
  ident: 3425_CR47
  publication-title: Int J Epidemiol
  doi: 10.1093/ije/dyv098
  contributor:
    fullname: E Herrett
– volume: 31
  start-page: 2383
  year: 2008
  ident: 3425_CR3
  publication-title: Diabetes Care
  doi: 10.2337/dc08-0985
  contributor:
    fullname: B Mezuk
– volume: 36
  start-page: 1562
  year: 2019
  ident: 3425_CR4
  publication-title: Diabet Med
  doi: 10.1111/dme.14054
  contributor:
    fullname: A Nouwen
– volume: 23
  start-page: 4
  year: 2023
  ident: 3425_CR43
  publication-title: BMC Med Res Methodol
  doi: 10.1186/s12874-022-01831-2
  contributor:
    fullname: S Kalia
– volume: 66
  start-page: 2888
  year: 2017
  ident: 3425_CR24
  publication-title: Diabetes
  doi: 10.2337/db16-1253
  contributor:
    fullname: RA Scott
– ident: 3425_CR23
– volume: 19
  start-page: 113
  year: 2005
  ident: 3425_CR40
  publication-title: J Diabetes Complications
  doi: 10.1016/j.jdiacomp.2004.01.002
  contributor:
    fullname: PJ Lustman
– volume: 62
  start-page: 593
  year: 2005
  ident: 3425_CR46
  publication-title: Arch Gen Psychiatry
  doi: 10.1001/archpsyc.62.6.593
  contributor:
    fullname: RC Kessler
– volume: 11
  start-page: 95
  year: 2016
  ident: 3425_CR8
  publication-title: Biomarker Insight
  doi: 10.4137/BMI.S38440
  contributor:
    fullname: S Sherwani
– volume: 109
  start-page: 433
  year: 2022
  ident: 3425_CR21
  publication-title: AJHG
  doi: 10.1016/j.ajhg.2022.01.018
  contributor:
    fullname: S Ko
– volume: 9
  start-page: 57
  year: 2009
  ident: 3425_CR33
  publication-title: BMC Med Res Methodol
  doi: 10.1186/1471-2288-9-57
  contributor:
    fullname: A Marshall
– volume: 45
  start-page: 1
  year: 2011
  ident: 3425_CR31
  publication-title: J Stat Soft
  doi: 10.18637/jss.v045.i07
  contributor:
    fullname: J Honaker
– volume: 19
  start-page: 1295
  year: 2017
  ident: 3425_CR45
  publication-title: Diabetes Obes Metab
  doi: 10.1111/dom.12971
  contributor:
    fullname: A Gummesson
– volume: 51
  start-page: 1022
  year: 2022
  ident: 3425_CR20
  publication-title: Int J Epidemiol
  doi: 10.1093/ije/dyab265
  contributor:
    fullname: KG Young
– ident: 3425_CR42
  doi: 10.1186/s12874-020-01023-w
– ident: 3425_CR25
  doi: 10.1093/gigascience/giz082
– volume-title: Mixed-Effects Models in S and S-PLUS
  year: 2000
  ident: 3425_CR27
  doi: 10.1007/978-1-4419-0318-1
  contributor:
    fullname: J Pinheiro
– ident: 3425_CR44
  doi: 10.1136/bmj.k1951
– volume: 39
  year: 2022
  ident: 3425_CR9
  publication-title: Diabet Med
  doi: 10.1111/dme.14671
  contributor:
    fullname: M Beran
– ident: 3425_CR29
  doi: 10.1007/978-1-4757-3462-1
– volume: 26
  start-page: 3363
  year: 2021
  ident: 3425_CR18
  publication-title: Mol Psychiatry
  doi: 10.1038/s41380-021-01062-9
  contributor:
    fullname: C Fabbri
– volume: 14
  start-page: 491
  year: 2014
  ident: 3425_CR1
  publication-title: Curr DiabRep
  doi: 10.1007/s11892-014-0491-3
  contributor:
    fullname: RIG Holt
– volume: 49
  start-page: 837
  year: 2006
  ident: 3425_CR2
  publication-title: A meta-analysis Diabetologia
  doi: 10.1007/s00125-006-0159-x
  contributor:
    fullname: MJ Knol
– volume: 43
  start-page: 320
  year: 2021
  ident: 3425_CR16
  publication-title: Clin Ther
  doi: 10.1016/j.clinthera.2020.12.015
  contributor:
    fullname: RE Farmer
– ident: 3425_CR48
  doi: 10.18742/rnvf-m076
– volume: 562
  start-page: 203
  year: 2018
  ident: 3425_CR15
  publication-title: Nature
  doi: 10.1038/s41586-018-0579-z
  contributor:
    fullname: C Bycroft
– ident: 3425_CR28
– volume: 31
  start-page: 2398
  year: 2008
  ident: 3425_CR41
  publication-title: Diabetes Care
  doi: 10.2337/dc08-1341
  contributor:
    fullname: JS Gonzalez
– ident: 3425_CR5
  doi: 10.1017/S2045796020000049
– volume: 55
  start-page: 675
  year: 2020
  ident: 3425_CR30
  publication-title: Bone Marrow Transplant
  doi: 10.1038/s41409-019-0679-x
  contributor:
    fullname: J Gauthier
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Snippet This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin (HbA1c)...
Abstract Background This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated...
Background This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin...
BackgroundThis study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin...
BACKGROUNDThis study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated haemaglobin...
Abstract Background This study evaluates longitudinal associations between glycaemic control, measured by mean and within-patient variability of glycated...
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StartPage 211
SubjectTerms Adult
Aged
Analysis
Biobanks
Biological Specimen Banks
Biomarkers
Blood pressure
Body mass index
Care and treatment
Cohort Studies
Complications and side effects
Depressive Disorder, Major - blood
Depressive Disorder, Major - epidemiology
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - blood
Diabetes therapy
Diagnosis
Epidemiology
Ethnicity
Female
Glycated Hemoglobin - analysis
Glycemic Control
Glycosylated hemoglobin
HbA1c
Health aspects
Humans
Longitudinal
Longitudinal Studies
Major depressive disorder
Male
Measurement
Medical records
Mental depression
Middle Aged
Primary care
Primary Health Care
Risk factors
Self report
Type 2 diabetes
UK Biobank
United Kingdom - epidemiology
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Title The impact of major depressive disorder on glycaemic control in type 2 diabetes: a longitudinal cohort study using UK Biobank primary care records
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