Evidence map›Paper›PMID 36812521›Full record

ArticlePLOS digital health2022

Goal language is associated with attrition and weight loss on a digital program: Observational study.

Annabell Suh Ho, Heather Behr, E Siobhan Mitchell, Qiuchen Yang, Jihye Lee, Christine N May, Andreas Michaelides

Open access · goldAbstract read
In one paragraph

Article in PLOS digital health, 2022. 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
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Annabell Suh HoAcademic Research, Noom, Inc., New York, New York, United States of America.ORCID https://orcid.org/0000-0002-0972-0181
Heather BehrAcademic Research, Noom, Inc., New York, New York, United States of America.
E Siobhan MitchellAcademic Research, Noom, Inc., New York, New York, United States of America.ORCID https://orcid.org/0000-0001-7851-6283
Qiuchen YangAcademic Research, Noom, Inc., New York, New York, United States of America.
Jihye LeeDepartment of Communication, Stanford University, Stanford, California, United States of America.ORCID https://orcid.org/0000-0003-0245-7250
Christine N MayAcademic Research, Noom, Inc., New York, New York, United States of America.ORCID https://orcid.org/0000-0002-4367-5310
Andreas MichaelidesAcademic Research, Noom, Inc., New York, New York, United States of America.ORCID https://orcid.org/0000-0003-4983-5001
Noom (United States) · USSaybrook University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behavioral weight loss reduces risk of weight-related health complications. Outcomes of behavioral weight loss programs include attrition and weight loss. There is reason to believe that individuals' written language on a weight management program may be associated with outcomes. Exploring associations between written language and these outcomes could potentially inform future efforts towards real-time automated identification of moments or individuals at high risk of suboptimal outcomes. Thus, in the first study of its kind, we explored whether individuals' written language in actual use of a program (i.e., outside of a controlled trial) is associated with attrition and weight loss. We examined two types of language: goal setting (i.e., language used in setting a goal at the start of the program) and goal striving (i.e., language used in conversations with a coach about the process of striving for goals) and whether they are associated with attrition and weight loss on a mobile weight management program. We used the most established automated text analysis program, Linguistic Inquiry Word Count (LIWC), to retrospectively analyze transcripts extracted from the program database. The strongest effects emerged for goal striving language. In striving for goals, psychologically distanced language was associated with more weight loss and less attrition, while psychologically immediate language was associated with less weight loss and higher attrition. Our results highlight the potential importance of distanced and immediate language in understanding outcomes like attrition and weight loss. These results, generated from real-world language, attrition, and weight loss (i.e., from individuals' natural usage of the program), have important implications for how future work can better understand outcomes, especially in real-world settings.

Identifiers

PMID36812521
PMCPMC9931249
OpenAlexW4282962430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.