India despite progress in tobacco cessation delivery in government sector has lagged in private health sector. Adopting a two-fold approach of intensive intervention-based counseling with (or without) pharmacotherapy; and prescheduled proactive follow-ups over the subsequent year, this study reports 337 tobacco patients, each followed for a period of 1 year. It observed a quit rate (QR) of 40.9% for total abstinence at 1 year but with a drop of 15.9% when patients were followed up, up to 6 months (49.6%) versus 6-12 months (34.7%). The pharmacotherapy did not benefit to whom it was prescribed (196 [58.2%] patients; QR: 34.7%) versus the rest to who it was either not prescribed or was declined (141 [41.8%] patients; QR 49.6%). Countrywide tobacco cessation clinics (TCCs) may be established in private sector hospitals, and the component of quitline methodology of making proactive calls may be integrated to improve QR in India.
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http://dx.doi.org/10.4103/ijph.IJPH_151_21 | DOI Listing |
Stats (Basel)
September 2024
Biostatistics and Data Sciences, Louisiana State University Health Sciences Center School of Public Health, New Orleans, LA 70122, USA.
Background: Previous research has identified differences in e-cigarette use and socioeconomic factors between different racial groups However, there is little research examining specific risk factors contributing to the racial differences.
Objective: This study sought to identify racial disparities in e-cigarette use and to determine risk factors that help explain these differences.
Methods: We used Wave 5 (2018-2019) of the Adult Population Assessment of Tobacco and Health (PATH) Study.
N Z Med J
January 2025
Professor, Department of Public Health, University of Otago Wellington, Wellington.
Aim: In February 2024, the Aotearoa New Zealand Government repealed legislation to mandate very low nicotine cigarettes (VLNCs), greatly reduce the number of tobacco retailers and disallow sale of tobacco products to people born after 2008 (smokefree generation). We investigated acceptability and likely impacts of these measures among people who smoke or who recently (≤2 years) quit smoking.
Method: We analysed data from 1,230 participants from Wave 3 (conducted in late 2020 and early 2021) and 615 participants from Wave 3.
J Med Internet Res
January 2025
Centre for Research in Media and Communication, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Background: Cardiovascular disease (CVD) is a major global health issue, with approximately 70% of cases linked to modifiable risk factors. Digital health solutions offer potential for CVD prevention; yet, their effectiveness in covering the full range of prevention strategies is uncertain.
Objective: This study aimed to synthesize current literature on digital solutions for CVD prevention, identify the key components of effective digital interventions, and highlight critical research gaps to inform the development of sustainable strategies for CVD prevention.
Front Public Health
January 2025
HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Purpose: This study explored the effect of four different smoking statuses (non-smokers, moderate smokers, heavy smokers, and former smokers) on health-related quality of life (HRQOL) among residents aged 15 years and older in Sichuan Province, China with consideration of potential differences among age groups (young, middle-aged, and older adults).
Methods: The EQ-5D-5L utility index and EQ-VAS score were used to measure HRQOL. Self-reporting and salivary cotinine test were used to determine the smoking status of respondents, and the Tobit regression model was used to explore the relationship between smoking status and HRQOL.
Depress Anxiety
January 2025
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Background: Individuals with mental health disorders face major barriers in accessing smoking cessation care, often due to the stigmas associated with mental disorders and addiction. Consequently, accessible population-based smoking cessation interventions are needed for this vulnerable group.
Objective: This secondary analysis utilized data from a 12-month randomized trial to examine whether an acceptance and commitment therapy-based app (iCanQuit) demonstrated greater efficacy, engagement, and satisfaction compared to a United States (US) Clinical Practice Guidelines-based app (QuitGuide) in helping adults with mental health disorders quit smoking.
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