Breezing’s study has just been published by the Global Journal of Obesity, Diabetes and Metabolic Syndrome. Our study, “Study of the Effect of Mobile Indirect Calorimeter on Weight Management” takes a closer look at calorie-counting, step-counting, and REE-counting.

To see the results, click here

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Breezing has been featured in a new study published by the Global Journal of Obesity, Diabetes and Metabolic Syndrome.

In this study, researchers took a closer look at the question: how does metabolism tracking affect weight change during and after pregnancy?

To read the study, click here

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Metabolism changes greatly during pregnancy, and the way it changes can be different for each woman. Despite an increased need for calories, excessive gestational weight gain still affects many women, contributing to adverse maternal and child health outcomes. Extensive research has shown that real-time tracking of health parameters may improve prenatal health.

To better understand how pregnancy and metabolism are related, the Breezing Metabolism Team is working with The Human Placenta Project, a collaborative research effort launched by the NICHD to study the role of the placenta in health and disease.

(The.pdf version of this presentation is available for download here.)

Looking at three pregnancy cases, the results showed that REE during pregnancy can increase, stay the same, or even decrease. In the first case, REE increased during the second trimester and remained relatively stable through delivery. In the second case, REE stayed the same throughout pregnancy. In the third case, REE decreased with nausea and remained low later in pregnancy.

These results show that REE is unique for each woman, and it is a complex variable that depends on a number of different factors. “Calculating” REE is no different from estimating it. And, as studies have shown, these estimates can be very wrong. When considering the health of both the mother and the child, it’s more important than ever to measure and track metabolism, not just “calculate” a number.

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Feeling stuck on a weight loss plateau? You’re not alone. Based on true user stories, here’s why conventional exercise and dieting routines don’t work.

It’s all about your metabolism.

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Ever wondered what the connection is between pregnancy and metabolism? Introducing our new video mini-series, where we take an in-depth look at why it’s important for expecting mothers to measure metabolic rate. Check out the preview episode on Youtube here.

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Does metabolism really change after weight loss? Leibel, Rosenbaum, Hirsch search for the answer.

Source: The New England Journal of Medicine – 1995, 332 (10), 621
Title: Changes in energy expenditure resulting from altered body weight
Authors: R. Leibel, M. Rosenbaum, J. Hirsch

This landmark study, with over 800 citations to date, reported a decreased resting metabolism (kCal/day) in 86% of the participants that underwent a calorie intake reduction to lose 10 or 20% of body weight. The study showed metabolism had slowed down following weight loss, leading to a reduced caloric intake for maintaining the new weight.

Conclusions: Losing or gaining weight is associated with compensatory changes in energy expenditure, which oppose the maintenance of the new body weight. These compensatory changes may account for the lack of success in long-term weight maintenance. Tracking metabolism is necessary to effectively manage caloric balance.

More details about the study: The individuals studied were ages 19-45, weighing between ~55 and ~155 kg, and followed a liquid diet to obtain a 10–20% plateau. The new weight was maintained for 14 days, after which resting metabolism was measured over the following 10 days. After a 10 percent gain in weight, the increase in total energy expenditure reflected a large increase in the absolute number of kilocalories of nonresting energy expenditure per day and a small increase in the absolute number of kilocalories per day attributed to the thermic effect of feeding. After a 10 or 20 percent loss in weight, the decline in total energy expenditure reflected similar decreases in both nonresting and resting energy expenditure. While the majority of participants (86%, n=25) showed a decreased resting metabolism (REE), the remaining participants (14%) either maintained REE (10%, n= 3) or increased REE (4%, n=1).

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