Evidence map›Paper›PMID 29777153›Full record

ArticleScientific reports2018

Depression and diabetes distress in adults with type 2 diabetes: results from the Australian National Diabetes Audit (ANDA) 2016.

Natalie Nanayakkara, Anthony Pease, Sanjeeva Ranasinha, Natalie Wischer, Sofianos Andrikopoulos, Jane Speight, Barbora de Courten, Sophia Zoungas

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
7.6field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  16. Cardiovascular contributions to dementia: Examining sex differences and female-specific factors.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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2 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 2 countries.

Natalie NanayakkaraSchool Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3168, Australia.
Anthony PeaseSchool Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3168, Australia.
Sanjeeva RanasinhaSchool Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3168, Australia.
Natalie WischerNational Association Diabetes Centres, Sydney, NSW, 2000, Australia.ORCID 0000-0003-4741-6743
Sofianos AndrikopoulosSchool Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3168, Australia.
Jane SpeightDeakin University, School of Psychology, Geelong, Victoria, Australia.
Barbora de CourtenSchool Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3168, Australia.
Sophia ZoungasSchool Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3168, Australia. sophia.zoungas@monash.edu.
Monash Health · AUDeakin University · AUMonash University · AUThe George Institute for Global Health · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the prevalence of, and factors associated with, likely depression and diabetes distress in adults with type 2 diabetes in a large, national sample. Australian National Diabetes Audit data were analysed from adults with type 2 diabetes attending 50 diabetes centres. The Brief Case find for Depression and Diabetes Distress Score 17 were administered to screen for likely depression and diabetes-related distress, respectively. A total of 2,552 adults with type 2 diabetes participated: (mean ± SD) age was 63 ± 13 years, diabetes duration was 12 ± 10 years, and HbA1c was 8 ± 2%. Twenty-nine percent of patients had likely depression, 7% had high diabetes distress, and 5% had both. Difficulty following dietary recommendations, smoking, forgetting medications, and diabetes distress were all associated with greater odds of depression whereas higher own health rating was associated with lower odds (all p < 0.02). Female gender, increasing HbA1c, insulin use, difficulty following dietary recommendations and depression were all associated with greater odds of diabetes distress & older age, higher own health rating and monitoring blood glucose levels as recommended were associated with lower odds (all p < 0.04). Depression was associated with sub-optimal self-care, while diabetes distress was associated with higher HbA1c and sub-optimal self-care.

Indexed as

Stress, PsychologicalAdultAgedAge FactorsAustraliaBlood Glucose Self-MonitoringDatabases, FactualDepressionDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansInsulinMaleMiddle AgedOdds RatioGlycated Hemoglobinhemoglobin A1c protein, humanInsulin

Identifiers

PMID29777153
PMCPMC5959930
OpenAlexW2803547903

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.