Study Shows Eating at the 'Wrong' Time of Day Could Lead to Weight Gain
Now, in a new study, researchers from Northwestern University have found that eating at the "wrong" time leads to more than twice as much weight gain, even when the overall calories consumed are the same as those eaten at appropriate times.
Their research is confined to animals, but the results are dramatic enough to point to the need for more human research, says Deanna Arble, a PhD student at Northwestern and the study's lead author.
''We've found that mice who are allowed to eat during the light phase -- their 'wrong' time of day -- gain substantially more weight than those allowed to eat during the dark phase, the right time of day for them to eat," she tells WebMD. The study is published online in the journal Obesity.
Based on the research, however, it's not possible, Arble says, to set an optimal time window for people to eat to maintain weight. Rather, she hopes the finding will be a trigger for obesity scientists who study people to focus more closely on the concept of the timing of eating.
In the study, Arble and her colleagues gave two groups of mice, who are nocturnal and expected to eat at night, the same high-fat diet. They gave one group access to food at night and the other group access during the day. Both groups could eat as much as they wanted during the 12-hour feeding phase.
'Right' Time vs. 'Wrong' Time
At the end of the six-week study, the mice who were fed during the light phase -- their ''wrong'' time to eat -- gained much more weight than those fed during the dark phase.
When the researchers compared the animals' weight at the study start to their weight at the end, the mice that ate at the wrong time had a 48% weight increase, while those who ate at the correct time had a 20% weight increase.
While both groups gained, Arble notes, the mice that ate at the wrong time gained more than twice as much weight. "We did not restrict the amount of calories they were eating," she says. Even so, between groups, ''there was no difference in the [average] amount of calories consumed."