Cited by 235Diabetes Management and EducationDiabetes Management and ResearchCancer survivorship and care

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index; none of the 10 sources its claims cite is checked for support yet.

Predicting diabetes distress in patients with Type 2 diabetes: a longitudinal study

Open access
Fisher, L., Mullan, J. T., Skaff, M. M., Glasgow, R. E., Arean, P., Hessler, D.·2009·Diabetic Medicine

Abstract

AIMS: Diabetes distress (DD) is a condition distinct from depression that is related to diabetes outcomes. In those without distress initially, little is known about what indicators place patients at risk for subsequent distress over time. METHODS: From a community-based, three-wave, 18-month study of Type 2 diabetic patients (n = 506), we identified patients with no DD at T1 who displayed DD at T2, T3 or both (n = 57). Using logistic regression with full and trimmed models, we compared them with patients with no DD at all three time points (n = 275) on three blocks of variables: patient characteristics (demographics, depression, extra-disease stress), biological (HbA(1c), body mass index, comorbidities, complications, blood pressure, non-high-density lipoprotein-cholesterol), and behavioural variables (diet, exercise). Selected interactions with stress and major depressive disorder (MDD) were explored. RESULTS: The odds of becoming distressed over time were higher for being female, previously having had MDD, experiencing more negative events or more chronic stress, having more complications, and having poor diet and low exercise. Negative life events increased the negative effects of both high HbA(1c) and high complications on the emergence of distress over time. CONCLUSIONS: We identified a list of significant, independent direct and interactive predictors of high DD that can be used for patient screening to identify this high-risk patient cohort. Given the impact of high DD on diabetes behavioural and biological indicators, the findings suggest the usefulness of regularly appraising both current life and disease-related stressors in clinical care.

Overview

Integrity signals

Registry

Crossref · 10.1111/j.1464-5491.2009.02730.x

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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  • It may state two separate claims as one. 9
  • The quote only partly states this claim. 1
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    Early identification of patients with diabetes at risk for high DD can lead to subsequent screening and follow-up care that reduces the emergence of high DD over time.

    “Early identification of patients with diabetes at risk for high DD can lead to subsequent screening and follow-up care to reduce the emergence of high DD over time.”
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Citations

Cites

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  1. Mullan JT, 2006, The diabetes distress scale: a replication, Diabetes, 55, A426

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Metadata

Authors
Fisher, L., Mullan, J. T., Skaff, M. M., Glasgow, R. E., Arean, P., & Hessler, D.
Affiliations
  • University of California, San Francisco (US)
  • Kaiser Permanente (US)
Corresponding author
Fisher, L.
Venue
Diabetic Medicine
Publisher
Wiley
Published
2009-06
Volume
26
Issue
6
Pages
622-627
ISSN
  • 0742-3071 (ISSN-L)
  • 1464-5491
OpenAlex
W1972925040
Cited by
235
References
14
Citations by year
2026: 12 · 2025: 12 · 2024: 18 · 2023: 17 · 2022: 24 · 2021: 26 · 2020: 12 · 2019: 14 · 2018: 12 · 2017: 20 · 2016: 14 · 2015: 12 · 2014: 11 · 2013: 13 · 2012: 8
FWCI
4.36
Type
journal article
Language
en
Open access
Locations
  • Diabetic Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • University of California, San Francisco
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK-061937, DK062732, R01DK061937, R01DK062732)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
Keywords
diabetes distress, type 2 diabetes, risk factors, major depressive disorder, chronic stress, negative life events, HbA1c, diabetes complications, diet, physical activity, screening
MeSH terms
Adult, Aged, Major Depressive Disorder, Diabetes Mellitus, Type 2, Epidemiologic Methods, Female, Humans, Male, Middle Aged, Psychometrics, Stress, Psychological, Diabetes Complications, Young Adult

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