Objective: Between February and March 2003, the authors examined college students' willingness to help a smoker quit and assessed demographic and psychosocial characteristics associated with willingness to help.

Participants: Survey respondents were 701 college students (474 women, 227 men) aged 18 to 24 years who indicated there was someone close to them whom they thought should quit smoking.

Methods: Respondents completed measures of willingness to help. The authors used multivariate logistic regression analysis to examine respondent characteristics associated with willingness to help.

Results: About half (54%; n = 381) reported that they "definitely would" be interested in helping this smoker quit. Characteristics significantly associated with willingness to help were lower levels of perceived stress, being a non-tobacco user, concern for a boyfriend, girlfriend, or spouse who smoked, and more severe levels of distress caused by this person's smoking.

Conclusions: A high percentage of college students are willing to help a smoker. Future studies are needed to engage college students who are nonsmokers in tobacco control efforts, including the Healthy Campus 2010 initiatives to reduce smoking among college students.

Download full-text PDF

Source
http://dx.doi.org/10.3200/JACH.57.3.273-280DOI Listing

Publication Analysis

Top Keywords

college students
20
help smoker
12
smoker quit
12
willingness help
12
characteristics associated
12
associated willingness
12
students help
8
willingness
6
students
5
help
5

Similar Publications

Objective: This mixed-methods study examined attitudes, barriers, and preferences for mobile mental health interventions among first-year college students.

Participants: 351 students (64% women; 51% non-Hispanic White; 66% Heterosexual) from two campuses completed self-report assessments and 10 completed individual semi-structured interviews.

Methods: Paired t-tests compared attitudes for various mHealth applications and logistic regressions examined sociodemographic and clinical characteristics of mental health app users.

View Article and Find Full Text PDF

It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing strategies for the effective therapy of cancer, as it is an important factor that determines the evolution and treatment response of tumours. This work combines machine learning and single-cell RNA sequencing (scRNA-seq) to explore the glioma tumour microenvironment's TME. With the help of genome-wide association studies (GWAS) and Mendelian randomization (MR), we found genetic variants associated with TME elements that affect cancer and cardiovascular disease outcomes.

View Article and Find Full Text PDF

Background: Healthcare professionals' repeated exposure to critical incidents can cause various physical and psychological symptoms with potentially severe personal and professional consequences. Healthcare students' exposure to critical incidents begins during their clinical education. Despite known consequences, healthcare education has yet to implement a standardized approach for preparing students for critical incidents.

View Article and Find Full Text PDF

"Religious conscience" or "healthcare denial" policies allow healthcare providers and institutions to refuse to provide services in the name of religious freedom. Denial policies are a form of structural stigma that could impede access to healthcare for sexual and gender minority (SGM) populations, particularly SGM young adults. This study describes SGM university students' response to policies permitting healthcare providers to deny care based on their religious beliefs.

View Article and Find Full Text PDF

Introduction: As we all know, learning engagement is a key indicator for measuring the quality of students' learning outcome and assessing their learning effectiveness. However, the relationship among personality traits, emotion regulation, and learning engagement has not been thoroughly studied.

Methods: This study aims to investigate the relationship among personality traits, emotion regulation and learning engagement.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!