Social Learning Theory and Tobacco Behaviors – A Tale of Two Studies Anne P. Hubbell New Mexico State University.

Slides:



Advertisements
Similar presentations
Fatherhood as Motivator for Smoking Behaviour Change Jeffrey Gage RN, MPH, PhD Christchurch Polytechnic Institute of Technology Research supported by the.
Advertisements

Teenage Pregnancy… An educator's role in prevention
Increased Likeability Evoked in the Context of a Disabling Condition By: Greg Sapp.
Other tests.  More than one dependent variable/ outcome ◦ Often variables are related ◦ Need a procedure to estimate simultaneously.
Ashley Adams & Whitley Holt Hanover College
What We Believe: Forgiveness and Reconciliation Jaimée Allman & Geoffrey Sutton Evangel University Allman & Sutton,
Comprehension and Memory for Sexist Jokes Doug Eamon, Dawn Dent, & Kim Pleva University of Wisconsin - Whitewater Memory and Text Comprehension Montpellier,
Safe and Healthy Friendships
Kelsey Gustafson, Lizzie Powers, Rachel Roberts, Rebecca Washleski Communication and Journalism  University of Wisconsin-Eau Claire  Faculty Advisor.
Relationship between health self- efficacy and health care education Researchers: Katie Cossette, MSOT/S’15 Stacey Dahm, MSOT/S’15 Stephanie Flower, MSOT/S’15.
Elizabeth F. Broady Sarah J. Hickman Hanover College
Vera Nierkens Smoking in a multicultural society: developing a culturally sensitive questionnaire.
Persuading Mothers to Perform Breast Cancer Prevention Practices with their Pre-adolescent Daughters: A Pilot Message Study Silk KS 1, Atkin C 1, Yun D.
Alcohol Consumption Past 90-day drinking was assessed with self-report items measuring typical quantity of alcohol consumption, drinking frequency, and.
© 2008 McGraw-Hill Higher Education. All rights reserved. Strategies for Decreasing Stressful Behaviors Chapter 14.
Tobacco Marketing Kelli Jernigan.
Tobacco Use. Percentage of High School Students Who Ever Smoked Cigarettes,* by Type of Grades Earned (Mostly A’s, B’s, C’s or D’s/F’s), 2009** *Ever.
Audrey J. Brooks, PhD University of Arizona CA-AZ node.
SPSS Data Analysis Statistical Procedures and Interpretation MKT568 Global Marketing Management Dr. Fred Miller 3-1.
Employment Eligibility and Social Netwo rks Does the info online affect one’s ability to be hired? Zachary Burac Faculty Advisor: Aimee Lau.
Economics of Tobacco Use and Help-Seeking Behavior Bishwa Adhikari, Ph.D., Economist Office on Smoking and Health Centers for Disease Control and Prevention.
Empowering volunteers to perform smoking- cessation service with a workshop training program using participatory action research Presenter: I-chuan Li.
JODI L. CONSTANTINE BROWN & HYUN-SUN PARK CALIFORNIA STATE UNIVERSITY, NORTHRIDGE Longitudinal research competency by learning platform.
Friends as Rivals: Perceptions of Attractiveness Predict Mating Rivalry in Female Friendships Stephanie R. A. Maves, Sarah L. Hubert, and April Bleske-Rechek.
Interface agents as social models:The impact of appearance on females attitude toward engineering 指導教授: Chen, Ming-puu 報 告 者: Chen, Hsiu-ju 報告日期: 2007.
Lexington High School Youth Risk Behavior Survey Results Ten Year Trends.
STT 315 Ashwini Maurya Acknowledgement: Author is indebted to Dr. Ashok Sinha, Dr. Jennifer Kaplan and Dr. Parthanil Roy for allowing him to use/edit many.
Examination of Public Perceptions of Four Types of Child Sexual Abuse Prevention Programs Brandon Kopp Raymond Miltenberger.
What is the Most Effective Way to Kick the Nastiest, Filthiest Habit? A Presentation for Psychology 2023 By Tara Ricketts & Paul Todd.
American Views of Homosexuality and Same Sex Marriage Survey of 1,191 American Adults.
Smoking Addictions.
 How reliable is offspring’s report on parental cigarette use?  Does the reliability differ between siblings and twins?  Can we identify characteristics.
Mary Hrywna, MPH Cristine D. Delnevo, PhD, MPH Dorota Staniewska, MS University of Medicine & Dentistry of New Jersey (UMDNJ) School of Public Health (SPH)
Prevalence of Tobacco Use. Current user: A person who has smoked once in the last 30 days Prevalence of tobacco use: The proportion of current users in.
Introduction Disordered eating continues to be a significant health concern for college women. Recent research shows it is on the rise among men. Media.
1 Impact of Depression History on Tobacco Withdrawal and Relapse Among Female Smokers David W. Wetter, Ph.D. Department of Behavioral Science Funded by.
Factors Affecting Youth Awareness of Anti-Tobacco Media Messages Komal Kochhar, M.B.B.S., M.H.A. Terrell W. Zollinger, Dr.P.H. Robert M. Saywell, Jr.,
Alcohol Cues, Expectancies, and the Working Self-Concept Joshua A. Hicks, Rebecca J. Schlegel, & Ronald S. Friedman University of Missouri-Columbia and.
College Student’s Beliefs About Psychological Services: A replication of Ægisdóttir & Gerstein Louis A. Cornejo San Francisco State University.
Conducted in the summer of 2012 at 19 COCA-I camps, with a total participation of 2725 campers.
ABSTRACT:. INTRODUCTION Breastmilk is universally accepted as the best food for an infant. Despite all the evidence, breastfeeding rates in the United.
The Role of Mixed Emotional States in Predicting Men’s and Women’s Subjective and Physiological Sexual Responses to Erotic Stimuli Peterson, Z. D. 1 and.
Venkatesan C, et al. 24th National IASSTD & AIDS & 11th SEAWP IUSTI Conference, India, 2000 CONSISTENCY OF CONDOM USE AMONG MEN WHO HAVE SEX WITH MEN (MSM)
John Cannings Camden and Islington Public Health Intelligence CAMDEN CARERS PROFILE
 Stop Smoking cause your such a fool! And your not even cool! Sexi Arim Herrera Period-2.
Surveying Tobacco Use and Evaluating Tobacco Control on College Campuses Margaret S. Stockdale Southern Illinois University Carbondale Lynda M. Sagrestano.
Transitions in Conjoint Alcohol and Tobacco Use among Adolescents Kristina M. Jackson University of Missouri, Columbia & Missouri Alcoholism Research Center.
◦ th and 11 th grade high school students (54% girls) ◦ 63% Caucasian; 24% African-American; 13% Hispanic; remaining were Asian or “other” ◦ Mean.
Reducing Childhood ETS Exposure Reaching Parents Who Smoke Kathryn Kahler Vose, M.A. Executive Vice President, Porter Novelli Carrie Schum, M.A. Vice President,
Nursing 4604L Kimberly A. Rogers, RN Healthcare for an Aggregate at Risk Males in Pasco County, Florida Coronary Heart Disease Among Males In Pasco County,
PARENTS’ BEHAVIOR INFLUENCES ADOLESCENTS’ HEALTH – PROMOTING BEHAVIORS Lynn Rew, EdD, RN, AHN-BC, FAAN Kristopher L. Arheart, EdD Micajah Spoden, BS.
MADELEINE A. FUGÈRE, ALITA J. COUSINS, & STEPHANIE A. MACLAREN Presented at the Society for Personality and Social Psychology, Please contact Dr.
I removed the quit attempt variable from the adjusted model. I removed the quit attempt variable from the adjusted model.e Sarah Kowitt, MPH 1 ; Tanha.
We thank the Office of Research and Sponsored Programs for supporting this research, and Learning & Technology Services for printing this poster. Introduction.
Method Participants  145 undergraduates: 38 men (26.2%) and 107 women (73.8%) earning research participation credit for Psychology courses  Recruited.
37.4 Blog Post Identify the IV and the DV and explain how to control confounding variables.
1.  Since 1999, the County of Chester has conducted a biannual survey of our youth on their behavior, attitudes and knowledge concerning alcohol, tobacco,
Romantic Partners Promotion of Autonomy and Relatedness in Adolescence as a Predictor of Young Adult Emotion Regulation. Elenda T. Hessel, Emily L. Loeb,
Date of download: 7/16/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Smoking Prevalence and Cigarette Consumption in 187.
Tobacco dependence: A race by smoker type interaction
Cigarette Smoking in the United States
Quitting cigarettes respectively snus – motivation versus dependence
My, But We are Impressive
Adolescent Attitudes Towards Smoking and Weight Loss:
Jennifer A. Shukusky & Paul W. Eastwick
Descriptive e-cigarette norms on tobacco attitudes and smoking behavior: The importance of close friends and peers Michael Coleman & William D. Crano.
Examining the Utility of the Theory of Planned Behavior
Types of T-tests Independent T-tests Paired or correlated t-tests
Say “no” to smoking.
Ennett, Bauman and Koch 1994.
Presentation transcript:

Social Learning Theory and Tobacco Behaviors – A Tale of Two Studies Anne P. Hubbell New Mexico State University

Major Variables from Theory Social Incentives Social Incentives Self-Efficacy Self-Efficacy

Study One 466 Participants (320 women, 147 men) 466 Participants (320 women, 147 men) Age: M = 23.22, Range = Age: M = 23.22, Range = Ethnicity – Primarily Caucasian and Hispanic: Ethnicity – Primarily Caucasian and Hispanic: Caucasian (n = 110, 42.97%) Caucasian (n = 110, 42.97%) Hispanic (n = 93, 36.33%) Hispanic (n = 93, 36.33%)

Social Incentive Findings Friends Encouraging Scale = Two items (α =.84) Friends Encouraging Scale = Two items (α =.84) Women: M = 1.68 (SD =.94) Women: M = 1.68 (SD =.94) Men: M = 1.79 (SD =.97) Men: M = 1.79 (SD =.97) But, differential effects on smoking behaviors But, differential effects on smoking behaviors

Social Incentives – “Coolness” Four Items (α =.79) Four Items (α =.79) Women: M = 1.66 (SD =.68) Women: M = 1.66 (SD =.68) Men: M = 1.88 (SD =.74) Men: M = 1.88 (SD =.74) Both, below neutral midpoint but not different from each other Both, below neutral midpoint but not different from each other

Social Incentives - Coolness Women Women Smoke more cigarettes every day Smoke more cigarettes every day Smoke every day Smoke every day Consider themselves to be a “social” smoker Consider themselves to be a “social” smoker Have tried smoking Have tried smoking Will try it again Will try it again Men Men No effects for “Coolness” perceptions for men

Behaviors Influenced By Friends Encouraging Smoking Women Women Smoke total of 100 or more cigarettes in their life Smoke total of 100 or more cigarettes in their life Smoke more a day Smoke more a day Smoke every day Smoke every day Consider themselves to be smokers and “social smokers” Consider themselves to be smokers and “social smokers” Try smoking if they have not already Try smoking if they have not already Try smoking again if they have tried it Try smoking again if they have tried it Men Men Smoke a total of 100 or more cigarettes in their life Consider themselves to be a “social smoker” but not a “smoker”

Influence of Siblings Similar Women: Women: Have tried smoking Have tried smoking Smoked more than 100 cigarettes in their life Smoked more than 100 cigarettes in their life Smoked every day* Smoked every day* Have smoked at least one a day for last 30 days Have smoked at least one a day for last 30 days Consider themselves “social” and regular “smokers” Consider themselves “social” and regular “smokers” If they have not smoked, likely to try it If they have not smoked, likely to try it Men: Men: Have tried smoking Smoked more than 100 cigarettes in their life Smoked more cigarettes per day than those who do not have smoking siblings* Have smoked at least one a day for last 30 days Consider themselves “social” and regular “smokers” If they have not smoked, likely to try it

Self-Efficacy Two Items (α =.61) Two Items (α =.61) Women: M = 1.41 (SD =.72) Women: M = 1.41 (SD =.72) Men: M = 1.58 (SD =.85) Men: M = 1.58 (SD =.85) Both, below neutral midpoint but not different from each other Both, below neutral midpoint but not different from each other

Women were more likely to: Have tried smoking Have tried smoking Social vs. Regular Smokers Social vs. Regular Smokers Both women and men: Both women and men: Smoked more than 100 cigarettes in their life Smoked more than 100 cigarettes in their life Smoke every day Smoke every day Smoke at least one cigarette a day for last 30 days Smoke at least one cigarette a day for last 30 days Smoke more a day Smoke more a day If they have not or have smoked, more likely to try it If they have not or have smoked, more likely to try it

Study Two 520 Total (203 men, 312 women) 520 Total (203 men, 312 women) 266 (51% call themselves “Hispanic”) 266 (51% call themselves “Hispanic”) Coolness (3 items, α =.70) Coolness (3 items, α =.70) Friends Encouraging Smoking (3 items, α =.77) Friends Encouraging Smoking (3 items, α =.77) Self-Efficacy (2 items, α =.69) Self-Efficacy (2 items, α =.69)

Women vs. Men, Again! Women: Women: Self-Efficacy Self-Efficacy Refusal (M = 1.42) Refusal (M = 1.42) Social Incentives Social Incentives Coolness (M = 1.61) Coolness (M = 1.61) Friends (M = 1.55) Friends (M = 1.55) Men Men Self-Efficacy Refusal (M = 1.51) Social Incentives Coolness (M = 1.88) Friends (M = 1.89) ANOVA Analysis shows no significant influence of sex on smoking, overall Women: All variables influenced women to have tried smoking, moreso than men, otherwise all other behaviors were influenced similarly

Conclusions – What does this mean? Women and men are strongly influenced by variables from Social Learning Theory Women and men are strongly influenced by variables from Social Learning Theory But, different behaviors may be influenced But, different behaviors may be influenced Target wisely Target wisely