This paper is in the following e-collection/theme issue:

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (539) Registered Report (682) Innovations and Technology for Physical Activity Education (825) Innovations and Technology for Healthy Eating Education (455) Web-based and Mobile Health Interventions (3651) mHealth for Wellness, Behavior Change and Prevention (3109)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26421, first published .
Influence of Baseline User Characteristics and Early Use Patterns (24-Hour) on Long-Term Adherence and Effectiveness of a Web-Based Weight Loss Randomized Controlled Trial: Latent Profile Analysis

Influence of Baseline User Characteristics and Early Use Patterns (24-Hour) on Long-Term Adherence and Effectiveness of a Web-Based Weight Loss Randomized Controlled Trial: Latent Profile Analysis

Influence of Baseline User Characteristics and Early Use Patterns (24-Hour) on Long-Term Adherence and Effectiveness of a Web-Based Weight Loss Randomized Controlled Trial: Latent Profile Analysis

Authors of this article:

Andre Q Andrade1 Author Orcid Image ;   Alline Beleigoli2, 3, 4 Author Orcid Image ;   Maria De Fatima Diniz4 Author Orcid Image ;   Antonio Luiz Ribeiro5, 6 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics
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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Influence of Baseline User Characteristics and Early Use Patterns (24-Hour) on Long-Term Adherence and… https://t.co/8CzdNZfXOA

3:45 PM · Jun 03, 2021

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Tom Ribeiro Tom Ribeiro @tomribeiroecg

Low adherence to the online intervention reduces long-term efficacy - especially when you are talking about losing… https://t.co/b9TbL4hT7u

3:32 PM · Jun 06, 2021

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Alline Beleigoli Alline Beleigoli @bel_alline

RT @tomribeiroecg: Low adherence to the online intervention reduces long-term efficacy - especially when you are talking about losing weigh…

11:09 AM · Jun 07, 2021

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Andre Andrade Andre Andrade @AndradeAQ

Can we predict who is going to engage with our digital health interventions from day 1? New on JMIR https://t.co/vDXkgQvR0y

4:31 AM · Jun 08, 2021

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Alline Beleigoli Alline Beleigoli @bel_alline

Early recognition of usage patterns associated with engagement can help tailoring #DigitalHealth interventions to… https://t.co/TR7BVymZFg

9:32 AM · Jun 08, 2021

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Renly Renly @DrRenly

RT @AndradeAQ: Can we predict who is going to engage with our digital health interventions from day 1? New on JMIR https://t.co/vDXkgQvR0y

11:17 AM · Jun 08, 2021

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QUMPRC QUMPRC @QUMPRC

RT @AndradeAQ: Can we predict who is going to engage with our digital health interventions from day 1? New on JMIR https://t.co/vDXkgQvR0y

11:17 AM · Jun 08, 2021

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Sakoda Sakoda @sakoda091

Journal of Medical Internet Research - Influence of Baseline User Characteristics and Early Use Patterns (24-Hour)… https://t.co/MqYSn4ydPE

3:06 PM · Jun 08, 2021

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Tom Ribeiro Tom Ribeiro @tomribeiroecg

RT @bel_alline: Early recognition of usage patterns associated with engagement can help tailoring #DigitalHealth interventions to differen…

12:40 AM · Jun 10, 2021

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