Evidence map›Paper›PMID 36483118›Full record

ArticleObesity science & practice2022

Adherence to a caloric budget and body weight change vary by season, gender, and BMI: An observational study of daily users of a mobile health app.

Katherine Labonté, Bärbel Knäuper, Laurette Dubé, Nathan Yang, Daiva E Nielsen

Open access · goldAbstract read
In one paragraph

Article in Obesity science & practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Do routinized eating behaviors support weight loss? An examination of food logs from behavioral weight loss participants.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
    Article
  3. Article
  4. 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

5 authors at 3 institutions in 2 countries.

Katherine LabontéSchool of Human Nutrition McGill University Sainte-Anne-de-Bellevue Quebec Canada.ORCID https://orcid.org/0000-0001-7949-9630
Bärbel KnäuperDepartment of Psychology McGill University Montreal Quebec Canada.
Laurette DubéDesautels Faculty of Management McGill University Montreal Quebec Canada.
Nathan YangCharles H. Dyson School of Applied Economics and Management SC Johnson College of Business Cornell University Ithaca New York USA.
Daiva E NielsenSchool of Human Nutrition McGill University Sainte-Anne-de-Bellevue Quebec Canada.ORCID https://orcid.org/0000-0002-4265-5748
McGill University · CASte. Anne's Hospital · CACornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Self-monitoring, one of the most important behaviors for successful weight loss, can be facilitated through mobile health applications (mHealth apps). Therefore, it is of interest to determine whether consistent users of these apps succeed in achieving their weight goals. This study used data from an mHealth app that enabled tracking of caloric intake, body weight, and physical activity and provided a caloric budget depending on weight goal. The primary objective was to evaluate adherence to caloric budget and body weight change among the most consistent (i.e., daily) trackers of caloric intake over a calendar year ( Methods: Gender-stratified linear mixed models were conducted to examine the effects of quarter of year (Q1-Q4 as season proxies) and body mass index (BMI) group (normal weight, overweight, obesity) on adherence to a caloric budget (kcal/day). Change in body weight was analyzed using a subset of users ( Results: Only users with obesity met their caloric budget in Q1. Deviation from budget increased for all groups from Q1 to Q2 (mean change[±standard error of the mean]: +23.7[±1.8] and +39.7[±2.2] kcal/day for female and male users, Conclusions: Among consistent calorie trackers, adherence to a caloric budget and body weight vary by season, gender, and BMI. Self-monitoring of body weight in addition to calorie tracking may lead to improved weight loss outcomes.

Indexed as

caloric restrictionsenergy intakeself‐monitoringweight management

Identifiers

PMID36483118
PMCPMC9722451
OpenAlexW4224131414

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.