Evidence map›Paper›PMID 30135037›Full record

ArticleAmerican journal of preventive medicine2018

Advances and Controversies in Diet and Physical Activity Measurement in Youth.

Donna Spruijt-Metz, Cheng K Fred Wen, Brooke M Bell, Stephen Intille, Jeannie S Huang, Tom Baranowski

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2018. 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
2.9field-weighted citation impact, top 9% 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, 30 citations in OpenAlex.

  1. Pooled it
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  12. Desafíos de medición para la investigación de la obesidad infantil en y entre América Latina y Estados Unidos.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Article
  13. Article
  14. Measurement challenges for childhood obesity research within and between Latin America and the United States.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
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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.

Donna Spruijt-MetzCenter for Economic and Social Research, University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California; Department of Preventive Medicine, University of Southern California, Los Angeles, California. Electronic address: dmetz@usc.edu.
Cheng K Fred WenDepartment of Preventive Medicine, University of Southern California, Los Angeles, California.
Brooke M BellDepartment of Preventive Medicine, University of Southern California, Los Angeles, California.
Stephen IntilleCollege of Computer and Information Science, Northeastern University, Boston, Massachusetts; Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts.
Jeannie S HuangDepartment of Pediatrics, School of Medicine, University of California at San Diego, San Diego, California; Rady Children's Hospital, San Diego, California.
Tom BaranowskiDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas.
University of Southern California · USBaylor College of Medicine · USNortheastern University · USRady Children's Hospital-San Diego · US

Funding

Guided imagery lifestyle intervention to prevent & treat obesity in Latino youthR01AT008330 · NCCIH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WEIGENSBERG, MARC J · 2013 to 2017
$3.4M
Using Mobile Phones to Reduce Missing Data in Youth Activity Monitoring StudiesR21HL108018 · NHLBI · NORTHEASTERN UNIVERSITY · PI DUNTON, GENEVIEVE FRIDLUND, INTILLE, STEPHEN S · 2012 to 2013
$437k
NCCIH NIH HHS R01 AT008330NHLBI NIH HHS R21 HL108018
6 · The paper itself

Abstract

Technological advancements in the past decades have improved dietary intake and physical activity measurements. This report reviews current developments in dietary intake and physical activity assessment in youth. Dietary intake assessment has relied predominantly on self-report or image-based methods to measure key aspects of dietary intake (e.g., food types, portion size, eating occasion), which are prone to notable methodologic (e.g., recall bias) and logistic (e.g., participant and researcher burden) challenges. Although there have been improvements in automatic eating detection, artificial intelligence, and sensor-based technologies, participant input is often needed to verify food categories and portions. Current physical activity assessment methods, including self-report, direct observation, and wearable devices, provide researchers with reliable estimations for energy expenditure and bodily movement. Recent developments in algorithms that incorporate signals from multiple sensors and technology-augmented self-reporting methods have shown preliminary efficacy in measuring specific types of activity patterns and relevant contextual information. However, challenges in detecting resistance (e.g., in resistance training, weight lifting), prolonged physical activity monitoring, and algorithm (non)equivalence remain to be addressed. In summary, although dietary intake assessment methods have yet to achieve the same validity and reliability as physical activity measurement, recent developments in wearable technologies in both arenas have the potential to improve current assessment methods. THEME INFORMATION: This article is part of a theme issue entitled Innovative Tools for Assessing Diet and Physical Activity for Health Promotion, which is sponsored by the North American branch of the International Life Sciences Institute.

Indexed as

DietMental RecallWearable Electronic DevicesAdolescentChildExerciseHealth PromotionHumansInventionsNutrition AssessmentPortion Size

Identifiers

PMID30135037
PMCPMC6151143
OpenAlexW2887932593

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.