Literature DB >> 22589424

Differences between Latino daily light and heavier smokers in smoking attitudes, risk perceptions, and smoking cessation outcome.

Rashelle B Hayes1, Belinda Borrelli.   

Abstract

INTRODUCTION: Daily light smoking is increasing and disproportionately represented among Latinos. The current study examines differences in smoking attitudes, psychosocial characteristics, risk perceptions, and cessation rates between Latino daily light (3-9 cigarettes/day) and heavier smokers (≥ 10 cigarettes/day).
METHODS: Participants (N = 131; M(age) = 36.8, 73.3% female, 53.1% light smokers) were enrolled in a study focused on motivating smokers to quit. Cessation was biochemically verified at 2 and 3 months after end of treatment.
RESULTS: Heavier smoking was more prevalent among males (65.7%) and those from Puerto Rico (69.0%). Compared with heavier smokers, light smokers were less nicotine dependent (p < .001), reported fewer pros of smoking (p ≤ .001), less perceived stress (p ≤ .001), had fewer friends who smoked (p ≤ .005), were more likely to live in a household with an indoor smoking ban (p ≤ .001), and self-reported better health (p < .05). Regarding risk perceptions, Latino light smokers reported less perceived vulnerability for the health effects from smoking on their child's health (p < .05). There were no significant differences in smoking cessation rates between daily light and heavier smokers at either 2- or 3-month follow-up. Belief that quitting would improve "their own health," however, significantly predicted smoking cessation at both 2- and 3-month follow-up, but only among heavier smokers.
CONCLUSIONS: Latino light smokers do not seem to be more likely to quit smoking than Latinos who smoke at heavier rates. Differences between Latino light and heavier smokers in demographics, smoking attitudes, and psychosocial factors may need to be considered when developing cessation programs and mass media campaigns. Future research should continue to explore whether Latino light smokers need different or more targeted treatments.

Entities:  

Mesh:

Year:  2012        PMID: 22589424     DOI: 10.1093/ntr/nts095

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  10 in total

1.  Does Smoking Intensity Predict Cessation Rates? A Study of Light-Intermittent, Light-Daily, and Heavy Smokers Enrolled in Two Telephone-Based Counseling Interventions.

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Journal:  Nicotine Tob Res       Date:  2020-03-16       Impact factor: 4.244

2.  Psychological Stress of Hispanics Living on the Border.

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3.  Efficacy of a couple-based randomized controlled trial to help Latino fathers quit smoking during pregnancy and postpartum: the Parejas trial.

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4.  Black Light Smokers: How Nicotine Intake and Carcinogen Exposure Differ Across Various Biobehavioral Factors.

Authors:  Gideon St Helen; Neal L Benowitz; Jasjit S Ahluwalia; Rachel F Tyndale; Newton Addo; Steven E Gregorich; Eliseo J Pérez-Stable; Lisa Sanderson Cox
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6.  Healthy families: study protocol for a randomized controlled trial of a screening, brief intervention, and referral to treatment intervention for caregivers to reduce secondhand smoke exposure among pediatric emergency patients.

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Journal:  BMC Public Health       Date:  2017-05-02       Impact factor: 3.295

7.  Disparities in knowledge and use of tobacco treatment among smokers in California following healthcare reform.

Authors:  Kelly C Young-Wolff; Sara R Adams; Andy S L Tan; Alyce S Adams; Daniella Klebaner; Cynthia I Campbell; Derek D Satre; Ramzi G Salloum; Lisa Carter-Harris; Judith J Prochaska
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9.  Modeling of smoking intensity by age at smoking onset among Iranian adult male using generalized additive model.

Authors:  Zohreh Manoochehri; Javad Faradmal; Abbas Moghimbeigi
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

10.  Lifestyle, chronic diseases and self-rated health among Malaysian adults: results from the 2011 National Health and Morbidity Survey (NHMS).

Authors:  Ying Ying Chan; Chien Huey Teh; Kuang Kuay Lim; Kuang Hock Lim; Pei Sien Yeo; Chee Cheong Kee; Mohd Azahadi Omar; Noor Ani Ahmad
Journal:  BMC Public Health       Date:  2015-08-06       Impact factor: 3.295

  10 in total

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