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Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis

Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis

A sensitivity analysis excluding the study by Van Blarigan et al [103], in which there was an imbalance in steps between the control and intervention groups at baseline, showed similar results (P=.87).

Mickael Ringeval, Gerit Wagner, James Denford, Guy Paré, Spyros Kitsiou

J Med Internet Res 2020;22(10):e23954


Perceptions About Disseminating Health Information Among Mommy Bloggers: Quantitative Study

Perceptions About Disseminating Health Information Among Mommy Bloggers: Quantitative Study

Across the United States, membership is fairly evenly distributed, with 20.9% in the Southeast; 7.42% in the Southwest; 12.58% in the West; 27.5% in the Northeast and East; 21.72% in the Midwest; and 8.7% in the Plains (personal communication by Erin Olson,

Amelia Burke-Garcia, Gary L Kreps, Kevin B Wright

JMIR Res Protoc 2018;7(4):e116


Assessing the Performance of a Modified LACE Index (LACE-rt) to Predict Unplanned Readmission After Discharge in a Community Teaching Hospital

Assessing the Performance of a Modified LACE Index (LACE-rt) to Predict Unplanned Readmission After Discharge in a Community Teaching Hospital

In teaching settings, van Walraven et al [11] reported that a 1-point increase in the LACE score increased the odds of unplanned readmission by 18% and the odds of early death by 29%.

Christo El Morr, Liane Ginsburg, Seungree Nam, Susan Woollard

Interact J Med Res 2017;6(1):e2


Predicting Obstetric Disease With Machine Learning Applied to Patient-Reported Data

Predicting Obstetric Disease With Machine Learning Applied to Patient-Reported Data

United States771 1711dani.bradley@oviahealth.comLandauErin1WolfbergAdamMD, MPH1BaronAlexPhD11Ovia HealthBoston, MAUnited StatesCorresponding Author: Danielle Bradley dani.bradley@oviahealth.comJul-Dec20181709201842e117661820182982018©Danielle Bradley, Erin

Danielle Bradley, Erin Landau, Adam Wolfberg, Alex Baron

iproc 2018;4(2):e11766


Outcome of Critically ill Patients Undergoing Mandatory Insulin Therapy Compared to Usual Care Insulin Therapy: Protocol for a Pilot Randomized Controlled Trial 

Outcome of Critically ill Patients Undergoing Mandatory Insulin Therapy Compared to Usual Care Insulin Therapy: Protocol for a Pilot Randomized Controlled Trial 

In 2001, Van den Berghe and colleagues extended this to critically ill patients with no history of diabetes when they published the results of a study of “tight” blood glucose control compared with conventional blood glucose control in Dutch intensive care

Peter J Watkinson, Vicki S Barber, J Duncan Young

JMIR Res Protoc 2018;7(3):e44


“Friending” Teens: Systematic Review of Social Media in Adolescent and Young Adult Health Care

“Friending” Teens: Systematic Review of Social Media in Adolescent and Young Adult Health Care

, Egan KG [26], Griffiths R [27], Ridout B [28], Whitehill JM [29], Jenssen BP [30], Pujazon-Zazik MA [31], Marcus MA [32], Lam CG [33], Clerici CA [34], Gao X [35], Egan KG [36], Stokes CE [37], Villiard H [38], Cash SJ [39], Lefkowitz ES [40], Robertson L

Lael M Yonker, Shiyi Zan, Christina V Scirica, Kamal Jethwani, T Bernard Kinane

J Med Internet Res 2015;17(1):e4


Using Digital Health Technologies to Understand the Association Between Movement Behaviors and Interstitial Glucose: Exploratory Analysis

Using Digital Health Technologies to Understand the Association Between Movement Behaviors and Interstitial Glucose: Exploratory Analysis

Compared with uninterrupted sitting, both activity conditions lowered the net glucose response to a standardized drink (light: −1.7 mmol/L; moderate: −2.0 mmol/L) [9].

Andrew P Kingsnorth, Maxine E Whelan, James P Sanders, Lauren B Sherar, Dale W Esliger

JMIR Mhealth Uhealth 2018;6(5):e114