Cited by 55Chronic Kidney Disease and DiabetesPhysical Activity and HealthObesity, Physical Activity, Diet

Physical inactivity and chronic kidney disease in Australian adults: The AusDiab study

Open access
White, Sarah L., Dunstan, David W., Polkinghorne, Kevan R., Atkins, Robert C., Cass, Alan, Chadban, Steven J.·2011·Nutrition, Metabolism and Cardiovascular Diseases

Abstract

Background and aims Physical inactivity is associated with cardiovascular risk however its relationship to chronic kidney disease is largely unknown. We examined the association between leisure-time physical activity and risk of chronic kidney disease in a prospective, population-based cohort of Australians aged ≥ 25 years (AusDiab). Methods and results The baseline sample included 10,966 adults (4951 males and 6015 females). From this sample, 6318 participants with complete baseline and 5-year follow-up urinalysis and serum creatinine measurements formed the study population for longitudinal analysis. Self-reported leisure-time physical activity was measured using a validated, interviewer-administered questionnaire. Compared with sufficiently active individuals (≥ 150 min physical activity per week), those who were inactive (0 min/week) were more likely to have albuminuria at baseline (multivariate-adjusted OR=1.34, 95% CI 1.10-1.63). Inactivity (versus sufficient physical activity) was associated with increased age- and sex-adjusted odds of an estimated glomerular filtration rate <3rd percentile (OR=1.30, 95% CI 1.02-1.65), although this was not significant after multivariate adjustment (OR=1.17, 95% CI 0.91-1.50). Obese, inactive individuals were significantly more likely to have albuminuria at baseline (multivariate-adjusted OR=1.74, 95% CI 1.35-2.25), compared with sufficiently active, non-obese individuals. Baseline physical activity status was not significantly associated with longitudinal outcomes. Conclusions Physical inactivity is cross-sectionally associated with albuminuria prevalence, particularly when combined with obesity. Future studies are needed to determine whether this association is causal and the importance of physical activity in CKD prevention.

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 · 10.1016/j.numecd.2009.08.010

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?

  • The Australian Diabetes, Obesity, and Lifestyle Study found that increased television watching or low self-reported leisure-time physical activity were associated with increased odds of albuminuria and low estimated glomerular filtration rate in 6,000 subjects.

    “In contrast, the Australian Diabetes, Obesity, and Lifestyle Study found that increased television watching or low self-reported leisure-time physical activity were associated with increased odds ratio of albuminuria and low estimated glomerular filtration rate in 6,000 subjects (325, 558).”

    From Lack of Exercise Is a Major Cause of Chronic Diseases (2012) · cites this paper as [558]

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 32 · Cited by 55

Authors
White, S. L., Dunstan, D. W., Polkinghorne, K. R., Atkins, R. C., Cass, A., & Chadban, S. J.
Affiliations
  • The University of Sydney (AU)
  • Baker Heart and Diabetes Institute (AU)
  • Monash Medical Centre (AU)
Corresponding author
White, Sarah L.
Venue
Nutrition, Metabolism and Cardiovascular Diseases
Publisher
Elsevier BV
Published
2011-02
Volume
21
Issue
2
Pages
104-112
ISSN
0939-4753 (ISSN-L)
OpenAlex
W1992793622
Cited by
55
References
32
Citations by year
2026: 2 · 2025: 4 · 2024: 2 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 8 · 2019: 1 · 2018: 3 · 2017: 2 · 2016: 3 · 2015: 4 · 2014: 2 · 2013: 4 · 2012: 6
FWCI
1.83
Type
journal article
Language
en
Open access
Locations
  • Nutrition Metabolism and Cardiovascular Diseases (publishedVersion)
  • PubMed (publishedVersion)
  • Research Bank (Australian Catholic University) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
physical inactivity, chronic kidney disease, leisure-time physical activity, albuminuria, obesity, estimated glomerular filtration rate, renal function, CKD prevention, Australian adults
MeSH terms
Adult, Aged, Albuminuria, Australia, Cardiovascular Diseases, Cross-Sectional Studies, Female, Follow-Up Studies, Glomerular Filtration Rate, Humans, Interviews as Topic, Kidney Failure, Chronic, Leisure Activities, Longitudinal Studies, Male, Middle Aged, Motor Activity, Obesity, Prospective Studies, Surveys and Questionnaires, Risk Factors, Prevalence, Logistic Models

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