What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring

Background: Using technology to self-monitor body weight, dietary intake, and physical activity is a common practice used by consumers and health companies to increase awareness of current and desired behaviors in weight loss. Understanding how to best use the information gathered by these relatively new methods needs to be further explored. Objective: The purpose of this study was to analyze the contribution of self-monitoring to weight loss in participants in a 6-month commercial weight-loss intervention administered by Retrofit and to specifically identify the significant contributors to weight loss that are associated with behavior and outcomes. Methods: A retrospective analysis was performed using 2113 participants enrolled from 2011 to 2015 in a Retrofit weight-loss program. Participants were males and females aged 18 years or older with a starting body mass index of ≥25 kg/m2, who also provided a weight measurement at the sixth month of the program. Multiple regression analysis was performed using all measures of self-monitoring behaviors involving weight measurements, dietary intake, and physical activity to predict weight loss at 6 months. Each significant predictor was analyzed in depth to reveal the impact on outcome. Results: Participants in the Retrofit Program lost a mean –5.58% (SE 0.12) of their baseline weight with 51.87% (1096/2113) of participants losing at least 5% of their baseline weight. Multiple regression model (R2=.197, P<0.001) identified the following measures as significant predictors of weight loss at 6 months: number of weigh-ins per week (P<.001), number of steps per day (P=.02), highly active minutes per week (P<.001), number of food log days per week (P<.001), and the percentage of weeks with five or more food logs (P<.001). Weighing in at least three times per week, having a minimum of 60 highly active minutes per week, food logging at least three days per week, and having 64% (16.6/26) or more weeks with at least five food logs were associated with clinically significant weight loss for both male and female participants. Conclusions: The self-monitoring behaviors of self-weigh-in, daily steps, high-intensity activity, and persistent food logging were significant predictors of weight loss during a 6-month intervention. Journal of Medical Internet Research

F-Bomb Dropping Kid Utterly Destroys The New York Mets for Horrific 23-5 Loss

Instagram, Getty Images

We’re only a month into the 2017 Major League Baseball season and it’s safe to say the Mets would like a mulligan.

It’s not just the 10-14 record, which obviously sucks but is by no means a death sentence. At least it wouldn’t be for a team that wasn’t already spiraling out of control. The Mets have been wracked by injury this season.

And Sunday, that problem got worse when starter Noah Syndergaard left his latest start in the second inning. The fireballing righty was diagnosed with a partial tear in his lat muscle Monday, putting him on the shelf for at least a couple months.

Combine that with the shameful 23-5 ass-kicking the team took after Syndergaard left Sunday’s game, and fans are starting to realize that they have a long summer ahead. One of them even made a video about it. 

In his impassioned rant this angry adolescent calls Syndergaard a “little Barbie doll” and Mets manager Terry Collins a “little orange.” He continually gets the score of Sunday’s game wrong and he curses like a sailor. It’s a sight to behold. 

The good news for this kid is that he’s gone viral. Congrats. The bad news is that now his parents are likely to see this and make him drink a jug of Dawn. 

The expletive-laden rant by an angry sports fan is a well known genre of funny internet video.

Among our favorites are the rant that made Eagles fan Bryant Moreland an internet celebrity, a drunk Broncos fan watching Peyton Manning give away Super Bowl XLVIII, and a fat guy who really didn’t want Batista to win the Royal Rumble. Enjoy.


Maxim