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New England Journal of Medicine · 1990

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Claude Bouchard, Angelo Tremblay, Jean-Pierre Després, André Nadeau, Paul J. Lupien, Germain Thériault, Jean Dussault, Sital Moorjani, Sylvie Pinault, Guy Fournier

The Response to Long-Term Overfeeding in Identical Twins

Massachusetts Medical Society. 322(21). 1477-1482.

Study type
Controlled overfeeding experiment in identical twins
Review basis
Abstract only

People do not necessarily gain the same amount of weight from the same prescribed calorie surplus. Researchers studied 12 pairs of young adult male identical twins. After a baseline period, each man received 1,000 extra calories daily on six days each week, totaling 84 overfeeding days within 100 days. Average weight gain was 8.1 kilograms, but individual gains ranged from 4.3 to 13.3 kilograms. Responses were more alike within twin pairs than between different pairs. The extra intake was a tightly defined experimental condition, not advice about how much anyone should eat.

The family resemblance extended to fat gain and where fat accumulated. For several measures, variation between pairs was about three times variation within pairs. The authors considered genetic influences the most likely explanation. That supports a role for inherited differences but does not identify particular genes, establish a genetic explanation for every difference, or show that eating patterns have no effect on body weight.

How Does This Show Up in Real Life?

Imagine comparing your weight response with a friend’s and assuming that different results prove one of you followed the plan incorrectly. This experiment gives a reason to question that assumption: substantial variation occurred even under a prescribed overfeeding schedule. It does not show that every real-world difference is biological, since ordinary food intake and circumstances were not the question tested here. Nor does it tell you how much weight you personally would gain from an extra snack, or how you would respond to eating less. The practical lesson is about interpretation, not a new calorie rule. A group average describes the group; it is not a promise for each person. The accessible abstract does not support a genetic test, a personalized diet formula, or a specific weight-management action.

Only 24 participants were studied, all young adult men, so the findings cannot simply be extended to women, older adults, or people with different health conditions. The imposed surplus was substantial and sustained. Only the abstract was accessible, limiting assessment of control procedures and other possible explanations. It does not report whether the gains or differences persisted after overfeeding stopped.

Why We Cite It

For Alpekin, the paper could inform how progress is displayed in a personalized system. Comparing a person’s trajectory with their own starting point could avoid treating a customer ranking as a measure of effort. That is an interface-design implication, not proof that any Alpekin tool can predict an individual response from genetic information.

Take the result as evidence against expecting identical outcomes from identical prescribed inputs. It does not make outcomes predetermined or remove the importance of the experimental surplus. Its strongest contribution is to place individual variation inside the scientific explanation, rather than outside it.

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