Evidence map›Paper›PMID 21403137›Full record

ArticleAnnals of family medicine

Patients with type 2 diabetes at risk for major depressive disorder over time.

Diana M Naranjo, Lawrence Fisher, Patricia A Areán, Danielle Hessler, Joseph Mullan

Open access · diamondAbstract read
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. The bidirectional longitudinal association between depressive symptoms and HbADiabetic medicine : a journal of the British Diabetic Association · 2022
    Pooled it
  3. Trial
  4. Biological mechanism and functional verification of key genes related to major depressive disorder and type 2 diabetes mellitus.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  11. Comorbidity of depression and diabetes: an application of biopsychosocial model.International journal of mental health systems · 2016
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  14. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Diana M NaranjoDepartment of Family & Community Medicine, University of California, San Francisco, 94143, USA. diana.naranjo@ucsf.edu
Lawrence Fisher
Patricia A Areán
Danielle Hessler
Joseph Mullan
University of California, San Francisco · US

Funding

CLINICAL SERVICES RESEARCH TRAINING PROGRAMT32MH018261 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kaja Zabrina LeWinn, Rachel L. Loewy · 1985 to 2026
$7.0M
Reducing Dirstress and Improving Self-Care in DiabetesR01DK061937 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FISHER, LAWRENCE · 2003 to 2011
$5.6M
Daily Depressive Affect &Disease Management in DiabetesR01DK062732 · NIDDK · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI FISHER, LAWRENCE · 2003 to 2005
$1.6M
NIDDK NIH HHS DK061937NIDDK NIH HHS DK062732NIMH NIH HHS T32 MH018261
6 · The paper itself

Abstract

purposeWe wanted to identify risk factors associated with the development of major depressive disorder (MDD) among patients with type 2 diabetes over time.

methodsIn a noninterventional study, 338 adult patients with type 2 diabetes and no MDD diagnosis at baseline were assessed 3 times during 18 months (9-month intervals) to ascertain predictors of MDD. We tested a model incorporating personal, behavioral, biologic, and psychosocial variables to identify predictors of MDD. Exploratory analyses tested whether current negative affect mediated the relationship between predictors and subsequent MDD. We also conducted a stratified analysis of moderate vs high negative affect to explore whether level of baseline negative affect mediated the relationship between specific predictors and MDD.

resultsPrior MDD and negative affect predicted future development of MDD. In subpopulations stratified by moderate negative affect, negative life events, an elevated body mass index (BMI), prior MDD, and poor control of glycated hemoglobin (hemoglobin A(1c)) each predicted MDD. In subpopulations stratified by elevated negative affect, negative life events and poor control of hemoglobin A(1c) predicted MDD. Current negative affect partially mediated the relationship between prior MDD and subsequent MDD, as well as the relationship between negative life events and subsequent MDD.

conclusionsAlthough negative affect at baseline was the primary predictor of subsequent MDD, when stratified by negative affect, negative life events, BMI, and poor control of hemoglobin A(1c) also predicted MDD. Thus, life stresses and patients' disease-related concerns are important when understanding what predicts subsequent MDD. Addressing depressive symptoms and broader life context issues expands the scope of a potential intervention to reduce the risk of developing MDD in persons with type 2 diabetes.

Indexed as

AdultAgedBody Mass IndexDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHealth Status IndicatorsHumansLogistic ModelsLongitudinal StudiesMajor Depressive DisorderMaleMiddle AgedPsychometricsRisk FactorsSelf CareGlycated Hemoglobin

Identifiers

PMID21403137
PMCPMC3056858
OpenAlexW2119868660

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.