Evidence map›Paper›PMID 31997127›Full record

ArticleJournal of behavioral medicine2020

Modelling multiple health behavior change with network analyses: results from a one-year study conducted among overweight and obese adults.

Guillaume Chevance, Natalie M Golaszewski, Dario Baretta, Eric B Hekler, Britta A Larsen, Kevin Patrick, Job Godino

Abstract read
In one paragraph

Article in Journal of behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  6. Article
  7. Article
  8. Thinking Health-related Behaviors in a Climate Change Context: A Narrative Review.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2023
    Review
  9. Article
  10. Article
  11. Contextual Biases in Microinteraction Ecological Momentary Assessment (μEMA) Non-response.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Goal setting and achievement for walking: A series of N-of-1 digital interventions.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021
    Article
  17. Article
  18. Article
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

7 authors.

Guillaume ChevanceCenter for Wireless and Population Health Systems, University of California, San Diego, USA. guillaumechevance@hotmail.fr.ORCID 0000-0002-8926-4816
Natalie M GolaszewskiCenter for Wireless and Population Health Systems, University of California, San Diego, USA.
Dario BarettaCenter for Wireless and Population Health Systems, University of California, San Diego, USA.
Eric B HeklerCenter for Wireless and Population Health Systems, University of California, San Diego, USA.
Britta A LarsenFamily Medicine and Public Health, University of California, San Diego, USA.
Kevin PatrickCenter for Wireless and Population Health Systems, University of California, San Diego, USA.
Job GodinoCenter for Wireless and Population Health Systems, University of California, San Diego, USA.

Funding

mDiet: A Text Message Intervention for Weight LossR01CA138730 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PATRICK, KEVIN · 2010 to 2013
$2.2M
Improving the Health of Aging Women and Men.T32AG058529 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LACROIX, ANDREA Z. · 2019 to 2023
$1.2M
NCI NIH HHS R01 CA138730NIA NIH HHS T32 AG058529
6 · The paper itself

Abstract

This study examined the between-person associations of seven health behaviors in adults with obesity participating in a weight loss intervention, as well as the covariations between these behaviors within-individuals across the intervention. The present study included data from a 12-month weight loss trial (N = 278). Seven health behaviors (physical activity, sedentary behavior, sleep duration, and consumption of fruits, vegetables, total fat and added sugar) were measured at baseline, 6- and 12-months. Between- and within-participants network analyses were conducted to examine how these behaviors were associated through the 12-month intervention and covaried across months. At the between-participants level, associations were found within the different diet behaviors and between total fat and sedentary behaviors. At the within-participants level, covariations were found between sedentary and diet behaviors, and within diet behaviors. Findings suggest that successful multiple health behaviors change interventions among adults with obesity will need to (1) simultaneously target sedentary and diet behaviors; and (2) prevent potential compensatory behaviors in the diet domain.

Indexed as

Health BehaviorAdultDietExerciseFemaleFruitHumansMaleMiddle AgedObesityOverweightSedentary BehaviorVegetablesWeight LossMultiple health behavior changeNetwork analysesObesityWeight loss

Identifiers

PMID31997127
PMCPMC7861046

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.