"You may have two individuals who weigh the same and have the same body mass index (BMI), but have very different levels of internal fat," said lead researcher and physicist Jürgen Machann, Dipl. Phys., from University Hospital Tübingen in Tübingen, Germany. "Abdominal and liver fat are the two most important factors in predicting whether a lifestyle intervention will be successful."

Machann and researchers performed MRI and MR spectroscopy on 243 individuals prior to and nine months after a lifestyle intervention. The intervention called for a weight loss of 5 percent, reducing fat intake to a maximum of 30 percent of total calories (including less than 10 percent in the form of saturated fat) and engaging in moderate physical activity such as walking at least three hours a week.

Each of the participants, which included 144 females (mean age 44.5 years) and 99 males (mean age 47.3), was considered at risk of developing type 2 diabetes as a result of obesity, measured by a body mass index (BMI) of 27 or greater or having an impaired glucose tolerance or a first-degree relative with the disease.

"Common methods, such as body impedance analysis, may determine that a body consists of 25 percent fat, but that does not tell you how the fat is distributed," Machann said. "BMI is a good measure for obesity but not necessarily a predictor for health risk, because not only the amount of fat, but also its distribution are essential. Only by looking inside the body can you establish the amount of visceral (abdominal) and liver fat."

MRI allowed researchers to differentiate fatty tissue from lean tissue throughout the body. MR spectroscopy generated additional data on the fat content of individual organs, such as the liver.

Researchers used improved insulin sensitivity to measure the success of the lifestyle intervention. Individuals with type 2 diabetes do not respond correctly to insulin, a hormone secreted by the pancreas that aids in metabolism. In pre-diabetes, cells become resistant to the action of insulin.

After nine months of participating in the lifestyle intervention, insulin sensitivity improved in 71 percent of the men and 58 percent of the women. Individuals with improved insulin sensitivity lost significant amounts of visceral fat (a mean reduction of 19 percent for women and 20 percent for men) and liver fat (a mean reduction of 35 percent for women and 44 percent for men) while reducing 3 to 5 percent of body weight.

"The participants who improved their health status as a result of diet and exercise started out with lower baseline levels of abdominal and liver fat," Machann said. "In our study, these two factors predetermined whether or not a lifestyle intervention would be successful for a particular individual."

Individuals who did not improve insulin sensitivity as a result of lifestyle changes lost much smaller amounts of visceral fat (a mean reduction of 4 percent for women and 6 percent for men). The men also lost less liver fat (a mean of 15 percent), and women gained a mean of 22 percent in liver fat.

"Our results demonstrate that with MRI and MR spectroscopy, we can determine who will benefit from dietary changes and exercise and who will need other interventions," Machann said.

Note: If no author is given, the source is cited instead.

• Obesity
• Fitness
• Diet and Weight Loss
• Triglycerides
• Diabetes
• Cholesterol

• Overweight
• Body mass index
• Liposuction
• Saturated fat
• General fitness training
• Detox diet