Evidence map›Paper›PMID 25909051›Full record

ArticlePreventive medicine reports

Daily Patterns of Physical Activity by Type 2 Diabetes Definition: Comparing Diabetes, Prediabetes, and Participants with Normal Glucose Levels in NHANES 2003-2006.

Jeremy A Steeves, Rachel A Murphy, Ciprian M Crainiceanu, Vadim Zipunnikov, Dane R Van Domelen, Tamara B Harris

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

Article in Preventive medicine reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Potential of electric bicycles to improve the health of people with Type 2 diabetes: a feasibility study.Diabetic medicine : a journal of the British Diabetic Association · 2018
    Article
  17. Review
  18. Review
  19. Article
  20. Review
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

6 authors at 4 institutions in 1 country.

Jeremy A SteevesCancer Prevention Fellowship Program Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Rachel A MurphyLaboratory of Epidemiology, and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA.
Ciprian M CrainiceanuDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Dane R Van DomelenDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Tamara B HarrisLaboratory of Epidemiology, and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA.
Johns Hopkins University · USNational Institute on Aging · USEmory University · USNational Cancer Institute · US

Funding

Use of accelerometry data for patterns of daily activity in older personsZIAAG006020 · NIA · NATIONAL INSTITUTE ON AGING · PI SHIROMA, ERIC · 2009 to 2021
$2.7M
Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

objectiveDiabetes is associated with low levels of physical activity (PA), but detailed objective information about how PA patterns vary by diabetes definition is lacking.

methodsPA was measured with Actigraph accelerometers in older (60+) adults from the 2003-2006 National Health and Nutrition Examination Survey (n= 1,043) and analyzed in 2014. Diabetes definition (normal glucose levels, prediabetes, diabetes) was assessed (fasting glucose, hemoglobin A1C, and self-report). Accelerometer data were used to characterize total activity counts (TAC) per day and hour-by-hour activity counts by diabetes definition. Multiple linear regression models explored the relationship between diabetes definition and TAC.

resultsDespite similar patterns of PA, diabetes participants had significantly lower TAC compared to participants with normal glucose levels and prediabetes. Diabetes participants' activity counts per hour declined more rapidly after 12 pm, with the biggest differences between the groups occurring at 4 pm. Participants with normal glucose levels and prediabetes had similar TAC and daily PA profiles.

conclusionOur novel methodology provides information about PA patterns by diabetes definition. Significantly lower TAC in the diabetes group, their significant drop in afternoon PA, and the similarity of PA between participants with normal glucose levels and prediabetes provide insight into potential targets for intervention.

Indexed as

cross sectionalDiabetesPApatternsprediabetes

Identifiers

PMID25909051
PMCPMC4402932
OpenAlexW2077955961

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.