Objective: Few studies have comprehensively examined changes in smoking status and related factors after a disaster. We examined these factors among residents of an evacuation area in Fukushima after the Great East Japan Earthquake.
Methods: The study participants included 58 755 men and women aged ≥20 years who participated in the Fukushima Health Management Survey in 2012 after the disaster. Smoking status was classified as either current smokers or current non-smokers before and after the disaster. The participants were divided into the following groups: (1) non-smokers both before and after the disaster, (2) non-smokers before and smokers after the disaster, (3) smokers before and non-smokers after the disaster and (4) smokers both before and after the disaster. The adjusted prevalence ratios and 95% CIs of changes in smoking status for demographic, disaster-related and psychosocial factors were tested using logistic regression analysis that was stratified by smoking status before the disaster.
Results: Among the 44 729 participants, who were non-smokers before the disaster, 634 (1.4%) began smoking after the disaster. Among the 14 025 smokers before the disaster, 1564 (11.1%) quit smoking after the disaster, and the proportion of smokers in the evacuation area consequently decreased from 21.2% to 19.6%. In the multivariable model, factors significantly associated with beginning smoking included being a male, being younger, having a lower education, staying in a rental house/apartment, house being damaged, having experienced a tsunami, change jobs and the presence of traumatic symptoms and non-specific psychological distress. On the contrary, factors associated with quitting smoking included being a female, being older, having a higher education and having a stable income.
Conclusion: The proportion of smokers slightly decreased among residents in the evacuation area. The changes in smoking statuses were associated with disaster-associated psychosocial factors, particularly changes in living conditions, having experienced a tsunami, change jobs and developing post-traumatic stress disorder.
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http://dx.doi.org/10.1136/bmjopen-2017-018943 | DOI Listing |
Ann LGBTQ Public Popul Health
December 2024
Department of Health Systems and Population Health, University of Washington, School of Public Health, Seattle, WA, USA.
The intersection between a minoritized sexual orientation identity and a U.S. military Veteran status places lesbian, gay, and bisexual (LGB) Veterans at increased risk for cigarette smoking.
View Article and Find Full Text PDFAnn Thorac Surg Short Rep
September 2024
Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan.
Background: There is a dearth of data on outcomes of postoperative chemotherapy after neoadjuvant therapy followed by surgery in patients with locally advanced non-small cell lung cancer (NSCLC). The objective of this study was to compare survival outcomes in patients who did and did not receive adjuvant chemotherapy.
Methods: A retrospective chart review was performed using our multicenter database to identify patients who received neoadjuvant therapy followed by surgery for clinical T3 N0 or N1-N2 resectable NSCLC between 2009 and 2016.
Cancer Prev Res (Phila)
January 2025
West Virginia University, Morgantown, United States.
Gastric cancer is the fifth most common cancer and the fifth leading cause of cancer deaths worldwide. Chronic infection by the bacterium Helicobacter pylori is the most prominent gastric cancer risk factor, but only 1-3% of infected individuals will develop gastric cancer. Cigarette smoking is another independent gastric cancer risk factor, and H.
View Article and Find Full Text PDFArch Public Health
January 2025
Department of Public Health, University of Helsinki, Helsinki, Finland.
Background: The association of workload and performance with physical functioning is recognised among the ageing public sector workforce. The characteristics of working conditions and social- and health-related factors associated with physical functioning after statutory retirement are still unknown. Also, previous studies on changes in physical functioning have not used a person-oriented approach.
View Article and Find Full Text PDFLung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!