Evidence map›Paper›PMID 30552772›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2019

Depressive symptoms and cerebral microvascular disease in adults with Type 1 diabetes mellitus.

K A Nunley, J F Karp, T J Orchard, T Costacou, H J Aizenstein, J R Jennings, C Rosano

Open access · greenAbstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The cognitive and psychological effects of living with type 1 diabetes: a narrative review.Diabetic medicine : a journal of the British Diabetic Association · 2020
    Review
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

7 authors at 1 institution in 1 country.

K A NunleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-5848-7673
J F KarpDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
T J OrchardDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
T CostacouDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-9303-3810
H J AizensteinDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
J R JenningsDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
C RosanoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-0909-1506
University of Pittsburgh · US

Funding

Epidemiology of Diabetes Complications (EDC) Phase II: renewalR37DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ORCHARD, TREVOR J. · 2009 to 2018
$6.5M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
Imaging biomarkers of accelerated brain aging in Type-1 DiabetesR01DK089028 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSANO, CATERINA · 2010 to 2013
$2.3M
The Brain as a Target for Pre and Essential HypertensionR01HL101959 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNINGS, JOHN RICHARD · 2010 to 2014
$2.1M
NHLBI NIH HHS R01 HL101959NIDDK NIH HHS R01 DK034818NIDDK NIH HHS R01 DK089028NIDDK NIH HHS R37 DK034818
6 · The paper itself

Abstract

aimTo assess the prevalence of, and risk factors for, depressive symptoms, comparing a sample of middle-aged adults with and without juvenile-onset Type 1 diabetes mellitus, and to determine if depressive symptoms were associated with white matter hyperintensity volume among those with Type 1 diabetes.

methodsDepressive symptoms and white matter hyperintensities were compared between adults (age range 30-65 years) with juvenile-onset Type 1 diabetes (n=130) and adults without Type 1 diabetes (n=133). The association of Type 1 diabetes with depression was computed before and after adjustment for white matter hyperintensities. Among the Type 1 diabetes group, the primary associations of interest were between depressive symptoms (Beck Depression Inventory score ≥10) and white matter hyperintensities (n=71), hyperglycaemia and physical activity. Associations between depressive symptoms and diabetes-related complications, cognitive impairment, smoking and self-reported disability were examined. Analyses were controlled for education, sex, age and antidepressant use.

resultsDepressive symptoms were more prevalent among those with vs those without Type 1 diabetes (28% vs 3%; P<0.001). White matter hyperintensities explained 40% of the association of Type 1 diabetes with depressive symptoms, while Type 1 diabetes had a direct effect of 68% on depressive symptoms. Among those with Type 1 diabetes, depressive symptoms were related to white matter hyperintensity volume, a 16-year average HbA

conclusionThese findings suggest a cerebrovascular origin for depressive symptoms in adults with Type 1 diabetes, perhaps triggered by hyperglycaemia. Future longitudinal studies should investigate whether targeting hyperglycaemia and physical inactivity alleviates depressive symptoms, possibly by slowing the development of cerebral microvascular disease, in people with Type 1 diabetes.

Indexed as

AdultAgedAntidepressive AgentsCase-Control StudiesCerebrovascular DisordersDepressionDiabetes Mellitus, Type 1Diabetic AngiopathiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsUnited StatesAntidepressive Agents

Identifiers

PMID30552772
PMCPMC6571066
OpenAlexW2904810674

What OpenQuestion holds

Textmetadata
LicenceTDM
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.