Scientists Find the Risks of Obesity Could Be Greater Than Expected


Experts say prior studies that examined the link between obesity and death are flawed because they rely on one-time measures of body mass index (BMI) that obscure the effects of weight change over time.

Studies that fail to distinguish between people who never exceeded normal weight and people of normal weight who were formerly overweight or obese are misleading because they neglect the enduring effects of past obesity. They also fail to account for the fact that weight loss is often associated with illness, the researchers say.

When such a distinction is made, the study finds, adverse health effects grow larger in weight categories above the normal range, and no protective effect of being overweight is observed.

“The risks of obesity are obscured in prior research because most of the studies only incorporate information on weight at a single point in time,” says lead author Andrew Stokes, assistant professor of global health at Boston University. “The simple step of incorporating weight history clarifies the risks of obesity and shows that they are much higher than appreciated.”

Stokes and co-author Samuel Preston, professor of sociology at the University of Pennsylvania, tested a model that gauged obesity status through individuals’ reporting of their lifetime maximum weight, rather than just a “snapshot” survey weight.

They found that the death rate for people who were normal weight at the time of survey was 27 percent higher than the rate for people whose weight never exceeded that category.

They also found a higher prevalence of both diabetes and cardiovascular disease among people who had reached a higher-than-normal BMI and then lost weight, compared to people who remained in a high BMI category.

Weight histories

Stokes and Preston argue that using “weight histories” in studies of obesity and mortality is important for two reasons. One reason is that obesity at a particular age may predispose people to illness, regardless of subsequent weight loss. The other is that weight loss is often caused by illness.

The researchers used data from the large-scale National Health and Nutrition Examination Survey, linking data available from 1988 to 1994 and 1999 to 2010 to death certificate records through 2011. The survey asked respondents to recall their maximum lifetime weight, as well as recording their weight at the time of the survey.

Of those in the normal-weight category at the time of the survey, 39 percent had transitioned into that category from higher-weight categories.

The study used statistical criteria to compare the performance of various models, including some that included data on weight histories and others that did not. The researchers found that weight at the time of the survey was a poor predictor of mortality, compared to models using data on lifetime maximum weight.

“The disparity in predictive power between these models is related to exceptionally high mortality among those who have lost weight, with the normal-weight category being particularly susceptible to distortions arising from weight loss,” the researchers say. “These distortions make overweight and obesity appear less harmful by obscuring the benefits of remaining never obese.”

Conflicting results

The study, published online in the Proceedings of the National Academy of Sciences, comes amid controversy over the relationship between obesity and mortality, with some recent studies indicating that excess weight is a protective factor in health.

One such study, a major meta-analysis in 2013 led by a researcher with the Centers for Disease Control and Prevention, indicated that being overweight was associated with lower mortality, and that slight obesity conferred no excess risk of death.

A number of past studies have shown that people who lose weight have higher rates of death than those who maintain their weight over time. Part of the reason for that disparity is that illness may be a cause of weight loss, through decreased appetite or increased metabolic demands. Few studies have adequately accounted for that source of bias, Stokes and Preston note.

They urge more research using weight histories, saying such an approach has proven valuable in studies of smoking, which distinguish between former and current smokers and those who have never smoked.

Source: Boston University and Futurity.