Evidence map›Paper›PMID 33478516›Full record

ArticleNutrition journal2021

Sustaining weight loss among adults with obesity using a digital meal planning and food purchasing platform for 12, 24, and 36 months: a longitudinal study.

Emily A Hu, Mahesh Pasupuleti, Viet Nguyen, Jason Langheier, Dexter Shurney

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  3. Recommender systems use in weight management mHealth interventions: A scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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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

5 authors at 1 institution in 1 country.

Emily A HuZipongo, Inc, DBA Foodsmart, 595 Pacific Ave, 4th Floor, San Francisco, CA, 94133, USA. emily.hu@foodsmart.com.
Mahesh PasupuletiZipongo, Inc, DBA Foodsmart, 595 Pacific Ave, 4th Floor, San Francisco, CA, 94133, USA.
Viet NguyenZipongo, Inc, DBA Foodsmart, 595 Pacific Ave, 4th Floor, San Francisco, CA, 94133, USA.
Jason LangheierZipongo, Inc, DBA Foodsmart, 595 Pacific Ave, 4th Floor, San Francisco, CA, 94133, USA.
Dexter ShurneyAdventist Health, 1 Adventist Health Way, Roseville, CA, 95661, USA.
Pacific Environment · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have shown that lifestyle changes, such as diet and exercise, can lead to weight loss, resulting in dramatic improvements in overall health and chronic disease risk. However, while many traditional dieting, food tracking and weight loss coaching programs result in short-term weight loss, there is less evidence of their effectiveness on sustaining weight loss over time.

methodsWe conducted a retrospective analysis of 1,740 adults with obesity who used Foodsmart, a digital personalized dietary assessment, meal planning and food purchasing platform. Participants reported age, gender, at least three measures of weight, and their diet using a food frequency questionnaire. We defined sustained weight loss as participants who lost 5 % of initial weight between their first and second reported weights and lost weight or maintained weight between second and third reported weights. A healthy eating score, Nutriscore, was calculated to assess overall diet quality. We used multivariate logistic regression models to examine the association between user characteristics and odds of sustained weight loss.

resultsOver a median of 25 months, the mean (standard deviation) change in weight among participants was - 6.2 (19.8) pounds. In total, 39.3 % (684/1,740) of participants lost at least 5 % of their initial weight, and 22.4 % percent (389/1,740) of participants sustained weight loss. In the fully-adjusted logistic regression model, we found that obesity class 2 (odds ratio, OR: 1.69, 95 % confidence interval, CI: 1.27-2.24, P < 0.001), obesity class 3 (OR: 2.23, 95 % CI: 1.68-2.97, P < 0.001), baseline diet quality (OR: 1.06, 95 % CI: 1.02-1.09, P < 0.001), and greater change in diet quality (OR: 1.10, 95 % CI: 1.07-1.14, P < 0.001) were significantly associated with sustained weight loss.

conclusionsThis study characterized and demonstrated the utility of Foodsmart, a digital platform that gives personalized nutrition recommendations and meal planning tools, in sustained weight reduction among users with obesity.

Indexed as

Weight LossWeight Reduction ProgramsAdultHumansLongitudinal StudiesObesityRetrospective StudiesDietary scoreDigitalMeal planningMobile appNutritionObesitySustainedWeight lossWeight maintenance

Identifiers

PMID33478516
PMCPMC7818217
OpenAlexW3125822577

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.