Cited by 60Dementia and Cognitive Impairment ResearchDiabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic Diseases

Relationship Between Markers of Insulin Resistance, Markers of Adiposity, HbA1c, and Cognitive Functions in a Middle-Aged Population–Based Sample: the MONA LISA Study

Open access
Sanz, Caroline M., Ruidavets, Jean-Bernard, Bongard, Vanina, Marquié, Jean-Claude, Hanaire, Hélène, Ferrières, Jean, Andrieu, Sandrine·2013·Diabetes Care

Abstract

OBJECTIVE: To determine the relationship between markers of insulin resistance (fasting insulin and homeostasis model assessment of insulin resistance), markers of adiposity (BMI, waist circumference, and body fat), HbA1c, and cognitive performances in a middle-aged population–based sample free of diabetes. RESEARCH DESIGN AND METHODS: Our study sample consisted of 1,172 people aged 35–64 years (49% women), free of diabetes, and recruited between 2005 and 2007 in the MONA LISA survey. Cognitive functions (memory, attention, and processing speed) were evaluated by neuropsychological tests: word-list learning test, digit symbol substitution test (DSST), word fluency test, and Stroop Test. Multiple logistic regressions were used to estimate the relationship between cognitive performance and metabolic markers. We serially adjusted for age, sex, education, and occupational status (model A), additionally for income, smoking, alcohol consumption, sedentarity, and psychotropic substance use (model B), and finally, included variables linked to the metabolic syndrome (hypertension, dyslipidemia, vascular disease, and C-reactive protein) and depression (model C). RESULTS: Elevated markers of adiposity were associated with poor cognitive performance in tests evaluating processing speed. The probability of being in the lowest quartile of each test was nearly doubled for participants in the upper quartile of BMI, compared with those in the lowest one [BMI, adjusted odds ratio (OR) 2.18, P = 0.003 (DSST), and OR 2.09, P = 0.005 (Stroop Test)]. High HbA1c was associated with poor cognitive performance in DSST (adjusted OR 1.75, P = 0.037). Waist circumference was linked to poor cognitive performance in men but not in women. CONCLUSIONS: Poor cognitive performance is associated with adiposity and hyperglycemia in healthy middle-aged people.

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 · 10.2337/dc12-1017

Cites

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?

  • Insulin resistance and adiposity have been associated with poor cognitive performance on tasks of attention, memory, and processing speed even in non-diabetic population-based samples of middle-aged individuals.

    “Insulin resistance and adiposity have been associated with poor cognitive performance on tasks of attention, memory, and processing speed even in non-diabetic population-based samples of middle-aged individuals [112].”

Self-check

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

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

The citation lists haven’t been fetched yet

References 38 · Cited by 60

Authors
Sanz, C. M., Ruidavets, J.-B., Bongard, V., Marquié, J.-C., Hanaire, H., Ferrières, J., & Andrieu, S.
Affiliations
  • Université Toulouse III - Paul Sabatier (FR)
  • Centre National de la Recherche Scientifique (FR)
  • Centre Hospitalier Universitaire de Toulouse (FR)
Corresponding author
Ruidavets, Jean-Bernard
Venue
Diabetes Care
Published
2013-05-15
Volume
36
Issue
6
Pages
1512-1521
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2168637794
Cited by
60
References
38
Citations by year
2026: 3 · 2025: 3 · 2024: 3 · 2023: 4 · 2022: 2 · 2021: 1 · 2020: 7 · 2019: 4 · 2018: 6 · 2017: 6 · 2016: 8 · 2015: 6 · 2014: 5 · 2013: 1
FWCI
2.73
Type
journal article
Language
en
Open access
Locations
  • Diabetes Care (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
Agence Nationale de la Recherche (ANR-05-PNRA-0018)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
insulin resistance, adiposity, HbA1c, hyperglycemia, cognitive function, processing speed, body mass index, waist circumference, fasting insulin, HOMA-IR, middle-aged adults, metabolic syndrome, sex differences
MeSH terms
Adult, Cognition, Cross-Sectional Studies, Diabetes Mellitus, Female, Glycated Hemoglobin, Humans, Insulin Resistance, Male, Middle Aged, Sex Factors, Logistic Models, Adiposity, Waist Circumference

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