Evidence mapPaperPMID 36866554Full record

ArticleFrontiers in bioscience (Landmark edition)2023

Parametric and Semiparametric Approaches to Analyzing Device-Based Measures of Energy Expenditure in Zucker Diabetic Fatty Rats.

Hyunkyoung Kim, Yuanyuan Luan, Roger S Zoh, Guoyao Wu, Carmen D Tekwe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioscience (Landmark edition), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
field-weighted citation impact, top 97% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Hyunkyoung KimDepartment of Allergy and Clinical Immunology, Asan Medical Center, 05505 Seoul, Republic of Korea.
Yuanyuan LuanDepartment of Epidemiology and Biostatistics, Indiana University, School of Public Health, Bloomington, IN 47405, USA.
Roger S ZohDepartment of Epidemiology and Biostatistics, Indiana University, School of Public Health, Bloomington, IN 47405, USA.
Guoyao WuDepartment of Animal Science, Texas A&M University, College Station, TX 77843, USA.
Carmen D TekweDepartment of Epidemiology and Biostatistics, Indiana University, School of Public Health, Bloomington, IN 47405, USA.
Indiana University Bloomington · USAsan Medical Center · KRTexas A&M University · US

Funding

Measurement error correction approaches to wearable device-based measures of physical activity and self-reported measures of dietary intake in obesity and type 2 diabetes researchR01DK132385 · TRUSTEES OF INDIANA UNIVERSITY · 2025 to 2025
$588k
NIDDK NIH HHS R01 DK132385
6 · The paper itself

Abstract

backgroundObesity results from a chronic imbalance between energy intake and energy expenditure. Total energy expenditure for all physiological functions combined can be measured approximately by calorimeters. These devices assess energy expenditure frequently (e.g., in 60-second epochs), resulting in massive complex data that are nonlinear functions of time. To reduce the prevalence of obesity, researchers often design targeted therapeutic interventions to increase daily energy expenditure.

methodsWe analyzed previously collected data on the effects of oral interferon tau supplementation on energy expenditure, as assessed with indirect calorimeters, in an animal model for obesity and type 2 diabetes (Zucker diabetic fatty rats). In our statistical analyses, we compared parametric polynomial mixed effects models and more flexible semiparametric models involving spline regression.

resultsWe found no effect of interferon tau dose (0 vs. 4 μg/kg body weight/day) on energy expenditure. The B-spline semiparametric model of untransformed energy expenditure with a quadratic term for time performed best in terms of the Akaike information criterion value.

conclusionsTo analyze the effects of interventions on energy expenditure assessed with devices that collect data at frequent intervals, we recommend first summarizing the high dimensional data into epochs of 30 to 60 minutes to reduce noise. We also recommend flexible modeling approaches to account for the nonlinear patterns in such high dimensional functional data. We provide freely available R codes in GitHub.

Indexed as

Diabetes Mellitus, Type 2AnimalsEnergy IntakeEnergy MetabolismObesityRatsRats, Zuckerenergy expendituremixed effects modelsspline regressiontruncated splinesZDF

Identifiers

PMID36866554
PMCPMC10829431
OpenAlexW4322183505

What Socratic holds

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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.