Men five times more likely to remain underdiagnosed for eating disorders: Study

New Delhi: Eating disorders in men are five times more likely to remain underdiagnosed as compared to women, which also delays their treatment options, a study has revealed.

Eating disorders include conditions like anorexia nervosa, bulimia, binge eating disorder and overconsumption and are characterized by irregular eating habits and severe distress or concern about body weight or shape.

"Stereotypes about who develops eating disorders could contribute to disparities in diagnosis and treatment, with males of higher weight, people of colour, and the non-affluent most likely to be slipping through the cracks," said Kendrin Sonneville, Assistant Professor at the University of Michigan in the US.

The study which was conducted on 1,700 college graduates found that females were almost 1.5 times more likely to get treated than males, and affluent students were nearly two times more likely to get treatment compared to non-affluent.

White students were nearly two times more likely to get diagnosed than students of colour, and underweight students were more than six times more likely to get diagnosed than those with a healthy body weight.

Students with overweight or obesity were about half as likely to get diagnosed.

"Most people with an eating disorder never get diagnosed and never get treatment, even though successful treatments that can reduce suffering, health consequences and cost are available," Sonneville said.

"Many individuals with eating disorders do not recognize themselves in these stereotyped portrayals of eating disorders in the media and may not recognize the need for treatment," Sonneville added.

The results showed that anorexia was much more likely to get diagnosed (73 percent) compared to individuals with binge eating disorder (seven percent).

Sonneville said universal screening and prevention, led by clinicians, could help reduce these disparities.

The study was published in the journal International Journal of Eating Disorders.

(With IANS inputs)