Smokers Quit in Droves, Not Isolation

By Serena Gordon
HealthDay Reporter
Thursday, May 22, 2008; 3:00 AM

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WEDNESDAY, May 21 (HealthDay News) -- When one person quits smoking, that health triumph doesn't occur in isolation, new research shows.

Instead, it appears that one person quitting can cause a ripple effect, making others more likely to kick the habit.

If your spouse stops smoking, you're 67 percent less likely to continue smoking. If your friend kicks the habit, it's about 36 percent less likely that you'll be smoking. When a sibling gives up cigarettes, your risk of smoking decreases by 25 percent, and it drops by 34 percent if a co-worker in a small office quits smoking, according to the study in the May 22 issue of the New England Journal of Medicine.

"It's sort of like watching dominoes. If one falls, it very quickly causes others to fall," said study co-author James Fowler, an associate professor of political science at the University of California at San Diego. "People are not quitting on their own; they're quitting in droves."

The problem then becomes how to reach increasingly smaller groups of smokers who may feel marginalized by society.

"In 1962, it didn't matter if you smoked or not. But beginning around the mid-1980s, we saw increasing polarization, and smokers were pushed to the outside of community circles. Smokers are no longer at the center of the circles and tend to have fewer friends and tend to be connected to fewer people," explained Fowler. "While we've been remarkably successful in getting people to quit, in part by using social networks, the downside is that for some of the people we're trying to help, we've unintentionally wreaked havoc on their social lives."

And, Fowler said, as smokers cling together to their smaller groups, their bad health behavior is being reinforced and becomes harder to change.

"We have to treat people in groups, rather than as individuals. Friends and family need to be involved. If you want to quit, try to get close friends and family to quit as well," Fowler suggested.

Using information from the large Framingham Heart Study that began in 1948, Fowler and his colleague Nicholas Christakis of Harvard Medical School identified social connections for 5,124 people involved in the study. They found an average of 10.4 social ties per subject to someone else in the study network.