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Use of an mHealth Ketogenic Diet App Intervention and User Behaviors Associated With Weight Loss in Adults With Overweight or Obesity: Secondary Analysis of a Randomized Clinical Trial

Use of an mHealth Ketogenic Diet App Intervention and User Behaviors Associated With Weight Loss in Adults With Overweight or Obesity: Secondary Analysis of a Randomized Clinical Trial

All statistical analyses were performed using R software (version 3.6.2; R Foundation for Statistical Computing), except for the mediation analysis, which was performed using SPSS software (version 25.0; IBM Corp). Our first aim is to describe characteristics and adherence- and app use–related behaviors of users in this trial across the entire primary (12 weeks) and secondary (24 weeks) intervention periods.

Kaja Falkenhain, Sean R Locke, Dylan A Lowe, Terry Lee, Joel Singer, Ethan J Weiss, Jonathan P Little

JMIR Mhealth Uhealth 2022;10(3):e33940

Comparing the Keyto App and Device with Weight Watchers’ WW App for Weight Loss: Protocol for a Randomized Trial

Comparing the Keyto App and Device with Weight Watchers’ WW App for Weight Loss: Protocol for a Randomized Trial

The Automated Self-Administered 24-Hour Dietary Recall has demonstrated high consistency with interviewer assessed 24-hour diet (r=0.80) [27] and with 4-day food records [28]. The Pittsburgh Sleep Quality Index [29] is a validated measure used to assess sleep schedules and sleep quality.

Sean R Locke, Kaja Falkenhain, Dylan A Lowe, Terry Lee, Joel Singer, Ethan J Weiss, Jonathan P Little

JMIR Res Protoc 2020;9(8):e19053