Predicting Smoking Status in a College‐Age Population

Ridner, S. Lee

doi:10.1111/j.0737-1209.2005.220605.x

Cited by 26 publications

(27 citation statements)

References 40 publications

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“…Interestingly, Social/Environmental Goads scores were negatively related to self-monitoring reports of smoking to socialize. This subscale measures the density of smokers in the respondent's social network and was related to daily smoking and dependence, consistent with prior research (Ridner, 2005;Stockdale, Dawson-Owens, & Sagrestano, 2005;Wetter et al, 2004). Opportunities to socialize explained a minority of day-to-day smoking events, and socializing motives were less common at higher levels of tobacco dependence.…”

Section: Discussionsupporting

confidence: 77%

Self-monitored motives for smoking among college students.

Piasecki

Richardson

Smith

2007

Psychology of Addictive Behaviors

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College student smokers (N ϭ 50) were asked to carry electronic diaries for 14 days and record smoking events (n ϭ 1,139). They indicated why they were smoking each cigarette on a checklist of potential motives. Results suggest that a desire to reduce craving (62.8% of occasions) and habit/automatic processes (42.8%) were the most frequent motives. More dependent and daily smokers were especially likely to endorse smoking to reduce craving and for habit/automatic reasons and were less likely to cite coping with negative emotion as a reason for smoking. Dependent and daily smokers were more likely to endorse at least 1 dependence-like motive and were less likely to exclusively attribute smoking to nondependence motives. Self-monitored motives appeared valid, according with conceptually related states, activities, and events in the diary records. Diary-recorded motives were compared with smokers' responses to a retrospective motives questionnaire administered at baseline. The 2 assessment modes produced discrepant estimates of the most influential motivational processes. Questionnaire responses incompletely forecast conceptually similar diary-reported motives. Dependence and daily smoking showed a different pattern of associations with diary-based versus retrospective motives measures.

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Section: Discussionsupporting

confidence: 77%

Self-monitored motives for smoking among college students.

Piasecki

Richardson

Smith

2007

Psychology of Addictive Behaviors

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“…However, a more plausible explanation is that age is an inadequate proxy measure for development. As other {Scales relating to partying, smoking norms/attitudes, and concern with what others think researchers have suggested (Jamner et al, 2003;Ridner, 2005), there is a pressing need for a reliable measure of developmental stage given that it is so closely linked to recognized aspects of tobacco use. Similarly, developing scales to identify differences in the way young adults spend their leisure time is a necessary step for developing more effective prevention and intervention campaigns.…”

Section: Discussionmentioning

confidence: 99%

A comparative study of sociocultural factors and young adults' smoking in two midwestern communities

Steele

Raymond

Ness

et al. 2007

CNTR

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Young adults were the only age group to defy the downward trend in cigarette use seen in the 1980s and 1990s. To help explain this phenomenon, we conducted an exploratory study to examine the association between the sociocultural contexts of young adults' everyday lives and their smoking attitudes and behaviors. "Context" was operationalized by (a) including students and nonstudents in the study population, and (b) selecting two distinctly different areas of Minnesota for examination. The study sites were Hibbing and environs (Range), the sparsely populated hub of the state's once-thriving iron ore industry, and the Twin Cities metropolitan area (Metro), center of state government, finance, transportation, education, and industry. This report focuses on the first phase of the study, which consisted of a computer-assisted telephone interview of 995 randomly selected young adults, aged 18-24. Approximately equal numbers of students and nonstudents were selected from each site. Exploratory factor analysis yielded four distinct scales related to alcohol consumption and partying (Drinking Behavior), the social attractiveness and utility of smoking (Social Utility), outdoor recreation (Outdoor Rec), and media use and hours of free time. We decided not to use the media and free time scale, however, because of its low Cronbach alpha (.42). We used polynomial logistic regression to evaluate the association between smoking status, gender, student status, location (Range vs. Metro), and the three retained scales. Results indicated that living on the Iron Range (OR = 2.6), being female (OR = 1.3), and scoring higher on the Social Utility scale (OR = 3.06) increased the risk of smoking, whereas being a student (OR = 0.53) decreased the risk substantially.

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“…Students who report smoking only a few puffs in the past month are more likely to live on-campus than heavy, moderate or social smokers (Sutfin et al, 2009). Finally, a large body of research has documented the association of tobacco use and other substance use, including alcohol and illicit drugs (Morrell et al, 2005; Ridner, 2005; Sutfin et al, 2012). In this paper, we aim to describe classes of hookah users based on demographic and behavioral correlates.…”

Section: Introductionmentioning

confidence: 99%

What are young adults smoking in their hookahs? A latent class analysis of substances smoked

Sutfin

Song

Reboussin

et al. 2014

Addictive Behaviors

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Rationale Hookah smoking continues to be a popular form of tobacco use, especially among college students. Although hookahs are commonly used to smoke tobacco, anecdotal evidence suggests other substances, including herbal shisha, marijuana and hashish may be used. However, little is known about the variety of substances smoked in hookahs, or correlates associated with different substances smoked. Methods In fall 2010, 3,447 students from 8 colleges in N.C. completed an online survey. Results 44% of students reported ever smoking tobacco from a hookah. Of those ever users, 90% reported smoking flavored tobacco in a hookah, 45% marijuana, 37% herbal (non-tobacco) shisha, and 18% hashish. Latent class analysis revealed two distinct classes. The most prevalent class (77%) primarily smoked flavored tobacco, with minimal use of herbal shisha and marijuana and virtually no use of hashish. The second class (23%) primarily smoked marijuana, hashish and flavored tobacco with moderate use of herbal shisha. Logistic regression analysis adjusting for clustering within-schools revealed that males, illicit drug users, daily, nondaily and former cigarette smokers and those whose mothers had higher levels of education were significantly more likely to be in the second class compared to the first. Conclusions Rates of lifetime use of hookah were high in our sample of college students. While the majority of hookah users smoked tobacco in hookahs, they also smoked other substances, notably marijuana and herbal shisha. Prevention efforts should recognize that students are using hookahs to smoke a variety of substances.

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Predicting Smoking Status in a College‐Age Population

Abstract: Strategies to alter the social environment and decrease the exposure of nonsmoking students to others who model smoking behaviors may help decrease smoking initiation and prevent relapse on college campuses.

Cited by 26 publications

References 40 publications

Self-monitored motives for smoking among college students.

Self-monitored motives for smoking among college students.

A comparative study of sociocultural factors and young adults' smoking in two midwestern communities

What are young adults smoking in their hookahs? A latent class analysis of substances smoked

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