Featured Research

from universities, journals, and other organizations

Identifying at-risk patients for adverse smoking outcomes: Models developed from cancer screening trial may help

Date:
October 26, 2012
Source:
Journal of the National Cancer Institute
Summary:
Risk prediction models developed from an ancillary study of the Prostate Lung Colorectal and Ovarian Cancer Screening Trial may be useful in the public health sector for identifying individuals who are at risk for adverse smoking outcomes, such as relapse among former smokers and continued smoking among current smokers, and those who may benefit from relapse prevention and smoking cessation interventions, according to a new study.

Risk prediction models developed from an ancillary study of the Prostate Lung Colorectal and Ovarian Cancer Screening Trial (PLCO) may be useful in the public health sector for identifying individuals who are at risk for adverse smoking outcomes, such as relapse among former smokers and continued smoking among current smokers, and those who may benefit from relapse prevention and smoking cessation interventions, according to a study published October 26 in the Journal of the National Cancer Institute.

With a projected 226,160 new cases of lung cancer and 160,340 lung cancer deaths expected in the U.S. in 2012, researchers are looking at lung cancer screenings as a way to alter peoples' smoking behaviors. Although smoking abstinence is the most effective way to lower lung cancer mortality, both early detection and treatment of the disease may also lower mortality. Both the PLCO and the National Lung Screening Trial (NLST) have gathered data to determine whether screening can lower lung cancer mortality; however, the effects that screening has on smoking behavior is unknown.

To determine the effects of cancer screening on smoking behavior, Kathryn L. Taylor, Ph.D., of the Lombardi Comprehensive Cancer Center at Georgetown University, and colleagues, gathered data from participants who had completed a baseline questionnaire at PLCO trial enrollment and a supplemental questionnaire 4 years after enrollment, which assessed variables such as family history of cancer, comorbidity, and tobacco use. Multivariable logistic regression models were used to predict smoking status once the supplemental questionnaire was completed.

The researchers found that of the 31,694 former smokers on the baseline questionnaire, 1,042 had relapsed, and of the 6,807 current smokers, 4,439 had continued smoking on the supplemental questionnaire. Both relapse and continued smoking were statistically significantly linked with demographic, medical, and tobacco-related characteristics. "The relapse prediction model had excellent discrimination and calibration and suggested that relapse was more likely among longer-term smokers, recent quitters, smokers of light or ultra-light cigarettes, and pipe or cigar smokers," the researchers write, adding that the success of these models, "suggest important variables that should be considered in the development of effective intervention methods for long-term, heavily dependent smokers who are likely to be well represented in lung cancer-screening programs."


Story Source:

The above story is based on materials provided by Journal of the National Cancer Institute. Note: Materials may be edited for content and length.


Journal Reference:

  1. S. A. Barry, M. C. Tammemagi, S. Penek, E. C. Kassan, C. S. Dorfman, T. L. Riley, J. Commin, K. L. Taylor. Predictors of Adverse Smoking Outcomes in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. JNCI Journal of the National Cancer Institute, 2012; DOI: 10.1093/jnci/djs398

Cite This Page:

Journal of the National Cancer Institute. "Identifying at-risk patients for adverse smoking outcomes: Models developed from cancer screening trial may help." ScienceDaily. ScienceDaily, 26 October 2012. <www.sciencedaily.com/releases/2012/10/121026173009.htm>.
Journal of the National Cancer Institute. (2012, October 26). Identifying at-risk patients for adverse smoking outcomes: Models developed from cancer screening trial may help. ScienceDaily. Retrieved April 21, 2014 from www.sciencedaily.com/releases/2012/10/121026173009.htm
Journal of the National Cancer Institute. "Identifying at-risk patients for adverse smoking outcomes: Models developed from cancer screening trial may help." ScienceDaily. www.sciencedaily.com/releases/2012/10/121026173009.htm (accessed April 21, 2014).

Share This



More Health & Medicine News

Monday, April 21, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Nine-Month-Old Baby Can't Open His Mouth

Nine-Month-Old Baby Can't Open His Mouth

Newsy (Apr. 19, 2014) Nine-month-old Wyatt Scott was born with a rare disorder called congenital trismus, which prevents him from opening his mouth. Video provided by Newsy
Powered by NewsLook.com
'Holy Grail' Of Weight Loss? New Find Could Be It

'Holy Grail' Of Weight Loss? New Find Could Be It

Newsy (Apr. 18, 2014) In a potential breakthrough for future obesity treatments, scientists have used MRI scans to pinpoint brown fat in a living adult for the first time. Video provided by Newsy
Powered by NewsLook.com
Little Progress Made In Fighting Food Poisoning, CDC Says

Little Progress Made In Fighting Food Poisoning, CDC Says

Newsy (Apr. 18, 2014) A new report shows rates of two foodborne infections increased in the U.S. in recent years, while salmonella actually dropped 9 percent. Video provided by Newsy
Powered by NewsLook.com
Scientists Create Stem Cells From Adult Skin Cells

Scientists Create Stem Cells From Adult Skin Cells

Newsy (Apr. 17, 2014) The breakthrough could mean a cure for some serious diseases and even the possibility of human cloning, but it's all still a way off. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins