Background: This study aimed to evaluate the association between tobacco control policies and trends in smoking cessation according to gender, age and educational level in Lithuania in 1994-2010.
Methods: The data were obtained from nine cross-sectional postal surveys conducted biennially within the framework of Finbalt Health Monitor project during 1994-2010. Each survey was based on a nationally representative random sample drawn from the National population register. The sample consisted of 3000 citizens aged 20-64 in 1994-2008 surveys and 4000 in the 2010 survey. In total, 17161 individuals participated in all surveys. The development of tobacco control policy in Lithuania was assessed using the Tobacco Control Scale (TCS). The association of the TCS scores with short-term and long-term quitting according to gender, age and education was examined using logistic regression analysis with control for secular trends.
Results: Over the last two decades, a large improvement in the development of tobacco control policy has been achieved in Lithuania. At the same time, this progress was associated with the increase in smoking cessation. A significant increase in both short-term and long-term quit ratios was found among people aged 20-44. An increase by 10 points on the TCS was associated with 17% increase in the odds of short-term quitting and with 15% increase in the odds of long-term quitting. The association between tobacco control policies and long-term quitting was stronger among younger than older people. No differential effect of tobacco control policies on smoking cessation was found in relation to gender and educational level.
Conclusions: The improvement in Lithuanian tobacco control policies was associated with an increase in smoking cessation in long-term perspective. These policies have not only benefitted highly educated groups, but lower educated groups as well. Nonetheless, further development of comprehensive tobacco control policies is needed in order to decrease social inequalities in smoking cessation.
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http://dx.doi.org/10.1186/s12889-015-1525-8 | DOI Listing |
Indian J Psychol Med
January 2025
College of Nursing, Dept. of Psychiatric Nursing, Pt. B.D. Sharma University of Health Sciences, Rohtak, Haryana, India.
Background: India has witnessed a gradual increase in substance use among the elderly, driven by the country's aging population and evolving demographic trends. There remains a lack of scientific foundation regarding the efficacy of brief intervention among older adults in the context of low- and middle-income countries. The current study explored the effectiveness of nurse-led brief intervention to reduce risky substance use patterns among the elderly in the Indian context.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, NO. 172 Tong Zi Po Road, Yuelu District, Changsha, 410006, Hunan, China.
Osteoporotic fractures are a major public health concern, particularly among the aging population, as they significantly contribute to morbidity, mortality, and reduced quality of life. While cardiovascular health (CVH) has traditionally been linked to cardiovascular disease outcomes, emerging evidence suggests it may also influence bone health. This study investigates the association between CVH, as measured by the Life's Essential 8 (LE8) score, and the prevalence of osteoporotic fractures in U.
View Article and Find Full Text PDFTob Control
January 2025
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Background: Social media influencers who promote e-cigarettes on Instagram or TikTok for tobacco brands use marketing tactics to increase the appeal of their promotional content, for example, depicting e-cigarettes alongside healthy lifestyle or entertainment imagery that could decrease youths' risk perceptions of e-cigarettes. Monitoring the prevalence of such content on social media using computer vision and generative AI (artificial intelligence) can provide valuable data for tobacco regulatory science (TRS).
Methods: We selected 102 Instagram and TikTok videos posted by micro-influencers in 2021-2024 who promoted e-cigarettes alongside posts featuring four themes: cannabis, entertainment, fashion or healthy lifestyle.
Tob Control
January 2025
Truth Initiative Schroeder Institute, Washington, District of Columbia, USA.
Background: Increasing intentions to quit e-cigarettes among youth and young adults can reduce usage rates by making quit attempts more likely. This study assessed the potential impacts of a national media campaign, focused on building knowledge of e-cigarette use risks and cessation resources, on intentions to quit and campaign-targeted beliefs about mental health and quitting.
Methods: A national sample from a repeated cross-sectional online survey was collected from March 2022 to August 2023, among youth and young adults who reported e-cigarette use in the past 30 days (N=5169).
PLoS One
January 2025
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Introduction: A long-term engagement (LTE) intervention was embedded in a social marketing campaign aimed at motivating quit attempts among Canadian adult commercial tobacco users 35 to 64 years of age. The purpose of this study was to examine the effectiveness and appeal of LTE within a marketing campaign.
Methods: 3,199 Canadians who smoked cigarettes aged 35-64 recruited using Facebook and Instagram advertisements were randomized into Intervention and Control groups.
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