Cited by 73Diabetes Management and EducationDiabetes Management and ResearchMental Health Research Topics

Daily negative mood affects fasting glucose in type 2 diabetes

Open access
Skaff, Marilyn M., Mullan, Joseph T., Almeida, David M., Hoffman, Lesa, Masharani, Umesh, Mohr, David, Fisher, Lawrence·2009·Health Psychology

Abstract

OBJECTIVE: To examine the relationship between mood and blood glucose in a 21-day daily diary study. DESIGN: During a home visit, information was gathered from 206 persons with Type 2 diabetes regarding demographics, disease characteristics and treatment, and depressive symptoms. They had blood drawn at a laboratory, yielding HbA1C. The participants were then telephoned each evening for 21 days and were asked about their positive and negative mood during the past 24 hours. They also tested their blood glucose upon rising in the morning. MAIN OUTCOME MEASURES: The main outcomes measures were positive and negative affect and fasting glucose. RESULTS: Multilevel analyses revealed a relationship between negative affect on one day and morning glucose on the next day. There was no such relationship between positive affect and glucose, nor was there a comparable effect of glucose on one day and either positive or negative affect on the next day. CONCLUSION: The observed relationship between mood and blood glucose appears to be because of negative affect, not positive, with no evidence of a lagged effect of glucose on mood.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1037/a0014429

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Skaff, M. M., Mullan, J. T., Almeida, D. M., Hoffman, L., Masharani, U., Mohr, D., & Fisher, L.
Affiliations
  • University of California, San Francisco (US)
  • Pennsylvania State University (US)
  • University of Nebraska–Lincoln (US)
  • Northwestern University (US)
Venue
Health Psychology
Published
2009-05
Volume
28
Issue
3
Pages
265-272
ISSN
  • 0278-6133 (ISSN-L)
  • 1930-7810
OpenAlex
W2152760921
Cited by
72
References
43
Citations by year
2026: 1 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 3 · 2020: 5 · 2019: 5 · 2018: 2 · 2017: 9 · 2016: 3 · 2015: 2 · 2014: 5 · 2013: 11 · 2012: 6
FWCI
4.36
Type
journal article
Language
en
Open access
Locations
  • Health Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Lincoln (University of Nebraska) (submittedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (DK062732; DK061937)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
type 2 diabetes, negative affect, positive affect, mood, fasting blood glucose, HbA1c, blood glucose, depressive symptoms
MeSH terms
Adult, Affect, Aged, Blood Glucose, Depressive Disorder, Diabetes Mellitus, Type 2, Fasting, Female, Glycated Hemoglobin, Humans, Longitudinal Studies, Male, Middle Aged

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review