Article Abstract

Effect of telling patients their “spirometric-lung-age” on smoking cessation in Japanese smokers

Authors: Haruhi Takagi, Yoshiteru Morio, Toshiji Ishiwata, Kazunori Shimada, Atsumi Kume, Kayo Miura, Eriko Kuwasaki, Miharu Kato, Kuniaki Seyama, Kazuhisa Takahashi


Background: Cigarette smoking remains a significant public health problem. However, current treatment programs have not yet succeeded in sufficiently reducing smoking rates. The study aimed to examine whether patients’ recognition of “spirometric-lung-age (SLA)” estimated from spirometry data prompts smoking cessation.
Methods: From December 2010 to September 2011, participating smokers were prospectively enrolled into the standardized smoking cessation program (Visits 1–5 for 12 weeks) and assigned single-blindly to either SLA assessment or control groups. The SLA group was informed of the estimated age of their lungs from spirometry analysis and given an opportunity to recognize the difference from their actual chronological age, whereas the control group was not. The primary calculation of outcome was the smoking quit rate on Visit 5, whereas the secondary end-point was the proportion of patients who remained abstinent 1 year later.
Results: One hundred and twenty-six Japanese smokers (88 males) participated and were randomly assigned to the SLA group (n=52) or the control group (n=74). The smoking quit rate on Visit 5 was similar in the SLA assessment group and control group (59.6% vs. 41.9%; P=0.0700). However, the proportion of patients who remained abstinent 1 year later was similar in both groups (78.6% vs. 69.0%; P=0.5497). Multivariate logistic regression analysis after adjusting baseline characteristics demonstrated that telling patients their SLA, the use of varenicline, and age were significantly associated with smoking quit rate on Visit 5 whereas only age was associated with remaining abstinent 1 year later.
Conclusions: Telling patients their SLA can become a useful tool prompting smoking cessation among Japanese smokers although other factors such as pharmacotherapy and age also influence the cessation of smoking.