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Lauren is a 45-year-old corporate lawyer who managed to excel in every aspect of her life, including parenting her three children while working full-time as a corporate lawyer. A math major at Harvard, she loves data.
Suffice it to say, given that I was treating her for a thyroid condition rather than diabetes, I was a little surprised when she requested I prescribe her a FreeStyle Libre (Abbott) monitor. She explained she was struggling to lose 10 pounds, and she thought continuous glucose monitoring (CGM) would help her determine which foods were impeding her weight loss journey.
While I didn’t see much downside to acquiescing, I felt she had probably been spending too much time on Reddit. What information could CGM give someone without diabetes that couldn’t be gleaned from a food label? Nevertheless, Lauren filled the prescription and began her foray into this relatively uncharted world. When she returned for a follow-up visit several months later, I was shocked to see that she had lost her intended weight. With my tail between my legs, I decided to review the theories and science behind the use of CGM in patients without insulin resistance.
Although it’s not rocket science, CGM can help patients through a “carrot and stick” approach to dieting. Lean proteins, nonstarchy vegetables, and monounsaturated fats such as nuts and avocado all support weight loss and tend to keep blood glucose levels stable. In contrast, foods known to cause weight gain (eg, sugary foods, refined starches, and processed foods) cause sugar spikes in real time. Similarly, large portion sizes are more likely to result in sugar spikes, and pairing proteins with carbohydrates minimizes blood glucose excursions.
Though all of this is basic common sense, . And because blood glucose is influenced by myriad factors including stress, genetics and metabolism, CGM can also potentially help create personal guidance for food choices.
In addition, CGM can reveal the effect of poor sleep and stress on blood glucose levels, thereby encouraging healthier lifestyle choices. The data collected also may provide information on how different modalities of physical activity affect blood glucose levels. A recent study compared the effect of high-intensity interval training (HIIT) and continuous moderate-intensity exercise on postmeal blood glucose in overweight individuals without diabetes. CGM revealed that HIIT is more advantageous for preventing postmeal spikes.
Although CGM appears to be a sophisticated form of cognitive-behavioral therapy, I do worry that the incessant stream of information can lead to worsening anxiety, obsessive compulsive behaviors, or restrictive eating tendencies. Still, thanks to Lauren, I now believe that real-time CGM may lead to behavior modification in food selection and physical activity.
Dr. Messer, Clinical Assistant Professor, Mount Sinai School of Medicine; Associate Professor, Hofstra School of Medicine, New York, NY, has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
Lauren is a 45-year-old corporate lawyer who managed to excel in every aspect of her life, including parenting her three children while working full-time as a corporate lawyer. A math major at Harvard, she loves data.
Suffice it to say, given that I was treating her for a thyroid condition rather than diabetes, I was a little surprised when she requested I prescribe her a FreeStyle Libre (Abbott) monitor. She explained she was struggling to lose 10 pounds, and she thought continuous glucose monitoring (CGM) would help her determine which foods were impeding her weight loss journey.
While I didn’t see much downside to acquiescing, I felt she had probably been spending too much time on Reddit. What information could CGM give someone without diabetes that couldn’t be gleaned from a food label? Nevertheless, Lauren filled the prescription and began her foray into this relatively uncharted world. When she returned for a follow-up visit several months later, I was shocked to see that she had lost her intended weight. With my tail between my legs, I decided to review the theories and science behind the use of CGM in patients without insulin resistance.
Although it’s not rocket science, CGM can help patients through a “carrot and stick” approach to dieting. Lean proteins, nonstarchy vegetables, and monounsaturated fats such as nuts and avocado all support weight loss and tend to keep blood glucose levels stable. In contrast, foods known to cause weight gain (eg, sugary foods, refined starches, and processed foods) cause sugar spikes in real time. Similarly, large portion sizes are more likely to result in sugar spikes, and pairing proteins with carbohydrates minimizes blood glucose excursions.
Though all of this is basic common sense, . And because blood glucose is influenced by myriad factors including stress, genetics and metabolism, CGM can also potentially help create personal guidance for food choices.
In addition, CGM can reveal the effect of poor sleep and stress on blood glucose levels, thereby encouraging healthier lifestyle choices. The data collected also may provide information on how different modalities of physical activity affect blood glucose levels. A recent study compared the effect of high-intensity interval training (HIIT) and continuous moderate-intensity exercise on postmeal blood glucose in overweight individuals without diabetes. CGM revealed that HIIT is more advantageous for preventing postmeal spikes.
Although CGM appears to be a sophisticated form of cognitive-behavioral therapy, I do worry that the incessant stream of information can lead to worsening anxiety, obsessive compulsive behaviors, or restrictive eating tendencies. Still, thanks to Lauren, I now believe that real-time CGM may lead to behavior modification in food selection and physical activity.
Dr. Messer, Clinical Assistant Professor, Mount Sinai School of Medicine; Associate Professor, Hofstra School of Medicine, New York, NY, has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
Lauren is a 45-year-old corporate lawyer who managed to excel in every aspect of her life, including parenting her three children while working full-time as a corporate lawyer. A math major at Harvard, she loves data.
Suffice it to say, given that I was treating her for a thyroid condition rather than diabetes, I was a little surprised when she requested I prescribe her a FreeStyle Libre (Abbott) monitor. She explained she was struggling to lose 10 pounds, and she thought continuous glucose monitoring (CGM) would help her determine which foods were impeding her weight loss journey.
While I didn’t see much downside to acquiescing, I felt she had probably been spending too much time on Reddit. What information could CGM give someone without diabetes that couldn’t be gleaned from a food label? Nevertheless, Lauren filled the prescription and began her foray into this relatively uncharted world. When she returned for a follow-up visit several months later, I was shocked to see that she had lost her intended weight. With my tail between my legs, I decided to review the theories and science behind the use of CGM in patients without insulin resistance.
Although it’s not rocket science, CGM can help patients through a “carrot and stick” approach to dieting. Lean proteins, nonstarchy vegetables, and monounsaturated fats such as nuts and avocado all support weight loss and tend to keep blood glucose levels stable. In contrast, foods known to cause weight gain (eg, sugary foods, refined starches, and processed foods) cause sugar spikes in real time. Similarly, large portion sizes are more likely to result in sugar spikes, and pairing proteins with carbohydrates minimizes blood glucose excursions.
Though all of this is basic common sense, . And because blood glucose is influenced by myriad factors including stress, genetics and metabolism, CGM can also potentially help create personal guidance for food choices.
In addition, CGM can reveal the effect of poor sleep and stress on blood glucose levels, thereby encouraging healthier lifestyle choices. The data collected also may provide information on how different modalities of physical activity affect blood glucose levels. A recent study compared the effect of high-intensity interval training (HIIT) and continuous moderate-intensity exercise on postmeal blood glucose in overweight individuals without diabetes. CGM revealed that HIIT is more advantageous for preventing postmeal spikes.
Although CGM appears to be a sophisticated form of cognitive-behavioral therapy, I do worry that the incessant stream of information can lead to worsening anxiety, obsessive compulsive behaviors, or restrictive eating tendencies. Still, thanks to Lauren, I now believe that real-time CGM may lead to behavior modification in food selection and physical activity.
Dr. Messer, Clinical Assistant Professor, Mount Sinai School of Medicine; Associate Professor, Hofstra School of Medicine, New York, NY, has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.