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Dieting may increase smoking, binge drinking among teenaged girls, warns research

Teenaged dieters were 1.6 times more likely to smoke and skip breakfast.

Edited by: India TV Lifestyle Desk New Delhi Published on: June 01, 2018 15:32 IST
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The study, reported in the Canadian Journal of Public Health, included data from 3,300 high school girls.

A recent research has proved that dieting in order to look slim can lead to smoking, skipping breakfast and binge drinking among teenaged girls. Though looking slim is in fashion, it also includes risk of developing health hazardous behaviours.

Teenaged dieters were 1.6 times more likely to smoke and skip breakfast, and 1.5 times more likely to smoke and engage in binge drinking than those who were not dieting.

"Post-puberty changes often lead to weight gain among girls and there is incredible pressure from social media and elsewhere to obtain and maintain the ideal body," said lead author Amanda Raffoul from the University of Waterloo, Canada.

"Intentional weight loss is not something we should necessarily encourage, especially among this population, since it's possible that well-meaning initiatives that promote dieting may be doing more harm than good. Instead, we should focus on health broadly rather than weight as an indicator of health," Raffoul added.

The study, reported in the Canadian Journal of Public Health, included data from 3,300 high school girls. The results showed that compared to girls who were not dieting at the time of initial data collection, those who were dieting were more likely to engage in one or more clusters of other risky behaviours three years later.

"The link between dieting and other health-compromising behaviours is worrisome since 70 per cent of girls reported dieting at some point over the three years," Raffoul added. According to Sharon Kirkpatrick, Professor from the varsity, the study looks at the important health related factors "including behaviours and the array of influences on them, in combination".

"Only by understanding the complex ways in which these factors interact can we identify effective interventions, as well as predict and monitor potential unintended effects of such interventions," she added.

(With IANS inputs)

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