Evidence map›Paper›PMID 36747820›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Joint Temporal Patterns By Integrating Diet and Physical Activity.

Jiaqi Guo, Luotao Lin, Marah M Aqeel, Saul B Gelfand, Heather A Eicher-Miller, Anindya Bhadra, Erin Hennessy, Elizabeth A Richards, Edward J Delp

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jiaqi GuoSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Luotao LinDepartment of Nutrition Science Purdue University, West Lafayette, IN, USA.
Marah M AqeelDepartment of Nutrition Science Purdue University, West Lafayette, IN, USA.
Saul B GelfandSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Heather A Eicher-MillerDepartment of Nutrition Science Purdue University, West Lafayette, IN, USA.
Anindya BhadraDepartment of Statistics Purdue University, West Lafayette, IN, USA.
Erin HennessyFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Elizabeth A RichardsSchool of Nursing Purdue University, West Lafayette, IN, USA.
Edward J DelpSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.

Funding

Temporal Dietary and Physical Activity Patterns Related to Health OutcomesR21CA224764 · NCI · PURDUE UNIVERSITY · PI EICHER-MILLER, HEATHER A · 2018 to 2019
$352k
NCI NIH HHS R21 CA224764
6 · The paper itself

Abstract

Both diet and physical activity are associated with obesity and chronic diseases such as diabetes and metabolic syndrome. Early efforts in connecting dietary and physical activity behaviors to generate patterns rarely considered the use of time. In this paper, we propose a distance-based cluster analysis approach to find joint temporal diet and physical activity patterns among U.S. adults ages 20-65. Dynamic Time Warping (DTW) generalized to multi-dimensions is combined with commonly used clustering methods to generate unbiased partitioning of the National Health and Nutrition Examination Survey 2003-2006 (NHANES) dataset. The clustering results are evaluated using visualization of the clusters, the Silhouette Index, and the associations between clusters and health status indicators based on multivariate regression models. Our experiments indicate that the integration of diet, physical activity, and time has the potential to discover joint temporal patterns with association to health.

Indexed as

cluster analysisdietDTWmulti-dimensional time seriesNHANESphysical activity

Identifiers

PMID36747820
PMCPMC9901045

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.