Concurrent Tobacco Use: A Study of Socio-demographic Correlates Nasir Mushtaq, MPH Laura A Beebe, PhD University of Oklahoma Health Sciences Center.

Slides:



Advertisements
Similar presentations
1 Preventive Care Use in Males with Multiple Sclerosis Sherri L. LaVela, MPH, MBA Department of Veterans Affairs, University of Illinois at Chicago, School.
Advertisements

Ralph S. Caraballo, PhD, MPH Valerie J. Rock, MPH Epidemiology Branch Chief Office on Smoking and Health CDC TM 2nd Conference on Menthol Cigarettes October.
Study of Disability In Arkansas Presented by: Neha Thakkar Arkansas Center for Health Statistics Arkansas Department of Health With lot of help from: Shalini.
Asthma Prevalence in the United States
Exploring Multiple Dimensions of Asthma Disparities Using the Behavioral Risk Factor Surveillance System Kirsti Bocskay, PhD, MPH Office of Epidemiology.
Analysis of Prostate Cancer Prevention Behavior in Florida Utilizing The 2002 BRFSS Data Yussif Dokurugu MPH Candidate April 9, 2004.
Through With Chew Week.
Sex Differences in the Prevalence and Correlates of Colorectal Cancer Testing: Health Information National Trends Survey Sally W. Vernon 1, Amy.
Cancer Statistics 2013 A Presentation from the American Cancer Society
Why do it to yourself? Holly Marcinkiewicz Penn State Hazleton Cas100A – Speech Communication November 2 nd, 2010
The Use of Commercial Tobacco Among Minority Populations Centers for Disease Control and Prevention Office on Smoking and Health Sydney Lee.
Agency for Healthcare Research and Quality Advancing Excellence in Health Care Trends in the.
Health Disparities in Cardiovascular Disease Paula A. Johnson, MD, MPH Chief, Division of Women’s Health; Executive Director, Connors Center for Women’s.
Smoking Cigarettes Are they worth it to you?. Tobacco use leads to disease and disability. Smoking causes cancer, heart disease, stroke, and lung diseases.
Presentation to: Presented by: Date: Burden of Tobacco Use in Georgia: Surveillance Update Tobacco Advisory & Coalition Board Alina Chung, MPH, Epidemiologist.
Health Disparities of Minority Women and Diabetes Kathleen M. Rayman, Ph.D., RN Appalachian Center for Translational Research in Disparities Faculty Development.
Wisconsin Department of Health Services HIV/AIDS Surveillance Annual Review New diagnoses, prevalent cases, and deaths through December 31, 2013 April.
Economics of Tobacco Use and Help-Seeking Behavior Bishwa Adhikari, Ph.D., Economist Office on Smoking and Health Centers for Disease Control and Prevention.
Demonstration of a Process- Outcome Link for Smoking Cessation Melissa M. Farmer, PhD 1,2 Elizabeth M. Yano, PhD 1,2 Brian S. Mittman, PhD 1,2 Scott E.
Trends in Health and Aging Major Trends and Patterns in Health of Older Hispanics in the United States October 2007.
TOBACCO PREVENTION AND CONTROL PROGRAM Mike Maples, Assistant Commissioner Mental Health and Substance Abuse Services.
Global Adult Tobacco Survey (GATS) Funded by Bloomberg Philanthropies.
Focus Area 18: Mental Health and Mental Disorders Progress Review December 17, 2003.
A focus on racial/ethnic health disparities with the TUS Dennis R. Trinidad, Ph.D., MPH TUS CPS NCTOH Pre-Conference Workshop June 9, 2009.
Adverse Health Conditions and Health Risk Behaviors Associated with Intimate Partner Violence in US Virgin Islands Grant Support: National Center on Minority.
Stroke The overall age-adjusted mortality rate (AAMR) for stroke in Texas declined from 66.3 per 100,000 in 1999 to 52.1 per 100,000 in The decrease.
Prevalence of Self-Reported Obesity Among U.S. Adults by Race/Ethnicity, State and Territory, BRFSS, Definitions  Obesity: Body Mass Index (BMI)
 2012 Johns Hopkins Bloomberg School of Public Health Joanna Cohen, PhD Director, Institute for Global Tobacco Control Bloomberg Professor of Disease.
4th June 2012 Nisha Kini Disparities in Heart Attack Knowledge by Gender, Race/Ethnicity, Education Level and Household Income among Maine adults.
Urban and Rural Disparities in Tobacco Use Ming Shan, BS; Zach Jump, MA; Elizabeth Lancet, MPH National Conference on Health Statistics August 8, 2012.
Adverse Childhood Experiences (ACE) Results of Lake County Survey Ferron & Associates for Children’s Council of Lake County May 19, 2010.
Shane Lloyd, MPH 2011, 1,2 Annie Gjelsvik, PhD, 1,2 Deborah N. Pearlman, PhD, 1,2 Carrie Bridges, MPH, 2 1 Brown University Alpert Medical School, 2 Rhode.
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.
Substance Use among Older Adults (Age 50+): Current Prevalence and Future Expectations Presented by Joe Gfroerer U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES.
U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics Occupational exposure to.
Community Health Status Indicators M. C. Rice PhD APN BC, M.N. Wicks PhD RN, and and S.I. White-Means PhD.
CDC Recommendations for Comprehensive Programs. Comprehensive Programs CDC, Office on Smoking and Health.
Tobacco Progress Review May 14, Public Health Challenges Tobacco Impact and Public Health Challenges Current Smokers Environmental Tobacco Smoke.
TM Substance Use Transitions from Initial Use to Regular Use to Discontinuance Ralph S. Caraballo, Ph.D., MPH Office on Smoking and Health, CDC, Atlanta.
Disability, Cigarette Smoking And Health-Related Quality Of Life: NYS Adult Tobacco Survey Harlan R. Juster, PhD Larry L. Steele, PhD Theresa M. Hinman,
Healthy People 2010 Focus Area 5 Diabetes Progress Review December 18, 2002.
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,
Environmental and Social Influences on Tobacco Use Among 18 to 24 Year-Olds in Idaho Dr. John Hetherington Clearwater Research, Inc. Influences on Young.
Healthy People 2010 Focus Area 5: Diabetes Progress Review October 20, 2006.
Healthy People 2010 Focus Area 2 Arthritis, Osteoporosis, and Chronic Back Conditions Progress Review July 20, 2006.
Stephen Nkansah-Amankra, PhD, MPH, MA 1, Abdoulaye Diedhiou, MD, PHD, H.L.K. Agbanu, MPhil, Curtis Harrod, MPH, Ashish Dhawan, MD, MSPH 1 University of.
Trends in electronic cigarette use in England Robert West Emma Beard Jamie Brown University College London
Widening of Socioeconomic Disparities in U.S. Mortality from Major Cancers Ahmedin Jemal, PhD Elizabeth Ward, PhD June 10, 2008 Kinsey T, Jemal A, Liff.
From the Delaware Behavioral Risk Factor Survey (BRFS) Cancer Consortium Retreat, February 20, 2012.
Arnold School of Public Health Health Services Policy and Management 1 Women’s Cancer Screening Services Utilization Versus Their Insurance Source Presenter:
Cigarette Smoking in the United States
Rabia Khalaila, RN, MPH, PHD Director, Department of Nursing
Increased Physical Activity And Senior Center Participation
Cedric Whitfield, MPH, CHES
Claire Dye, MSPH Dawn Upchurch, PhD
Racial Disparity in Smoking-Attributable Mortality, Years of Potential Life Lost: Case of Missouri Noaman Kayani, PhD Chronic Disease and Nutrition.
Trends in electronic cigarette use in England
Ty Borders, PhD Director, Rural and Underserved Health Research Center
Smoking and Cancer Facts:
Characteristics of Patients who Choose to Participate in a Comprehensive Medication Review (CMR) Program: Implication for Program Structure and Processes.
National Survey on Drug Use and Health (NSDUH)
The upper curve represents estimated AIDS incidence (number of new cases); the lower one represents the estimated number of deaths of adults and adolescents.
Trends in electronic cigarette use in England
Presented by Lisa J. Colpe, PhD, MPH CAPT, USPHS
This slide presents the distribution of diagnoses of HIV infection among adults and adolescents diagnosed from 2006 through 2009, by transmission category.
Percent of adults aged 18 years and older who have obesity †
Recent Incidences and Trends of the Top Cancers in Northeast Tennessee Appalachian Region Adekunle Oke1, Sylvester Orimaye2, Ndukwe Kalu1, Dr. Faustine.
Presentation transcript:

Concurrent Tobacco Use: A Study of Socio-demographic Correlates Nasir Mushtaq, MPH Laura A Beebe, PhD University of Oklahoma Health Sciences Center

Background Most common types of tobacco use Cigarette Smoking – 19.8% adults (CDC 2008) Smokeless Tobacco – 3.5% (NSDUH 2005) Worldwide, tobacco use causes 5 million deaths per year (WHO 2008) In the United States, only Smoking causes 443,000 deaths each year 8.6 million serious illnesses

Background Smokeless Tobacco – Chewing Tobacco – Snuff Health Effects – Oral lesions – Oral, esophageal, larynx, and lung cancer – Cardio-vascular disease

Background Smokeless Tobacco – Nationally 3% of adults are ST users Male – 6% Female – 0.4% – Southern and north central states – More prevalent among American Indian/Alaska Natives (9%) followed by Whites (4%) and African Americans (2%) – 8% of high school students are current ST users

Background Tobacco Industry Advertising and promotional expenditures – ST (Five largest tobacco manufacturers) 2005 – $ million 2006 – $ million – Cigarette 2005 – $ 13.1 billion 2006 – $ 12.5 billion

Background ST as harm reduction “TobaccoHarmReduction.org” “Switching from cigarettes to smokeless tobacco is a proven way to lower your risk -- it is almost as good for you as quitting entirely” – Reduce the harm: Go smoke free – Public health is all about harm reduction – Smokers have more choices than just quitting or dying

Background Smoke free policy 1992 – 3% hospitals 2008 – more than 45% hospitals 2009 – 70 % of workforce work in smoke free environment 2008 – 1% colleges and universities tobacco free

Background Concurrent Tobacco Use (CDC 2000 & NHSDA 2001) – ST users who also smoke 23 – 29% – Smokers who also use ST 2.6 – 4.9% – Concurrent tobacco use among general population 0.6 – 0.8% (estimated)

Purpose To investigate socio-demographic variation between concurrent tobacco users and exclusive ST users To assess changes in different types of tobacco use from 2003 to 2008

Methods Data – National Survey on Drug Use and Health (NSDUH) 2007 – Behavioral Risk Factors Surveillance Surveys (BRFSS) 2008 (Delaware, Florida, Indiana, Louisiana, Nebraska, North Carolina, Tennessee, Texas, West Virginia, Wisconsin, Wyoming) – Behavioral Risk Factors Surveillance Surveys (BRFSS) 2003 Delaware, Indiana, Nebraska, North Carolina, Texas, Wyoming

Methods Variables – Smokeless Tobacco (ST) use Currently use chewing tobacco or snuff every day or some days – Smoking NSDUH – Smoked at least 100 cigarettes in entire lifetime and smoked within the past 30 days BRFSS - Smoked 100 cigarettes in entire lifetime and currently smoke someday or every day – Concurrent Tobacco (CCT) use Current Smokeless Tobacco (ST) user and current smoker

Methods Variables – Socio-demographic factors Age (Categories) Race/Ethnicity (Five Categories) Education Level (Three Categories) General Health (Four Categories) Marital Status (Four Categories) Employment Status (Four Categories)

Methods Analysis – Frequencies and probabilities – Chi square test – Logistic Regression Crude Odds Ratios and 95% confidence intervals Average Annual Percent Change α = 0.05

Results National Survey on Drug Use and Health (NSDUH 2007)

ST use reported by 6.4% Prevalence of current smoking – 35.5% Current ST users who are current smokers 40.3% Current smokers who are current ST Users 8.9% Concurrent tobacco use – 3.2% Results: NSDUH 2007

Covariate CCT User % Exc. ST User % Exc. SmokerNon Tobacco User Total % Age (years) 12 – – – or Older Race Ethnicity White * African American * American Indian /Alaska Natives * Other * Hispanic Tobacco Use Characteristics of Male respondents – NSDUH 2007 Results: NSDUH 2007 * Non Hispanic

Results: NSDUH 2007

Tobacco Use Characteristics of Male respondents – NSDUH 2007 Covariate CCT User % Exc. ST User % Exc. Smoker % Non Tobacco User % Total % Marital Status Married Widowed Divorced/Separated Never Married General Health Excellent Very Good Good Fair/Poor

Results: NSDUH 2007 Age (Years)OR (95% CI) (1.26 – 1.28) 18 – (3.38 – 3.41) 26 – (2.53 – 2.55) 35 or OlderReferent

Results: NSDUH 2007 Race/EthnicityOR (95% CI) WhiteReferent African American1.36 (1.34 – 1.39) American Indian/ Alaska Native0.28 (0.27 – 0.29) Other0.73 (0.72 – 0.74) Hispanic2.49 (2.47 – 2.51)

Results: NSDUH 2007 Education LevelOR (95% CI) Less than High School2.46 (2.44 – 2.47) High School Graduate1.71 (1.70 – 1.71) Some College/College GraduateReferent

Results: NSDUH 2007 Marital StatusOR (95% CI) MarriedReferent Widowed0.56 (0.55 – 0.57) Divorced/Separated2.43 (2.42 – 2.45) Never Married2.88 (2.87 – 2.89)

Results: NSDUH 2007 General HealthOR (95% CI) ExcellentReferent Very Good0.97 (0.97 – 0.97) Good1.51 (1.50 – 1.51) Fair/Poor0.99 (0.98 – 1.00)

Results: NSDUH 2007 Employment StatusOR (95% CI) Full TimeReferent Part Time1.21 (1.20 – 1.21) Unemployed1.57 (1.56 – 1.58) Other0.61 (0.60 – 0.61)

Results: NSDUH 2007

Results Behavioral Risk Factor Surveillance Surveys (BRFSS 2008) (Delaware, Florida, Indiana, Louisiana, Nebraska, North Carolina, Tennessee, Texas, West Virginia, Wisconsin, Wyoming)

Tobacco Use  Concurrent tobacco use – 1.5% (499)  Exclusive ST user – 6.6% (2206)  Exclusive Smoker – 18.3% (6106)  Non tobacco user – 73.5% (33315)  Current ST users who smoke – 18.5%  Current smokers who use ST – 7.55% Other Characteristics  Non Hispanic White – 83.9% (28823)  Age 35 year or older – 87.1% (30006)  Some college or college graduate – 56.6% (19546)  Married – 64.6% (22290) Results: BRFSS 2008

Covariate CCT User n (%) Exc. ST User n (%) Exc. Smoker n (%) Non Tobacco User n (%) Total n Age (years) 18 – 2573 (5.0)107 (7.3)371 (25.3)915 (62.4) – 3486 (3.0)284 (10.0)688 (24.3)1769 (62.6) or Older339 (1.2)1804 (6.25)5025 (17.4)21695 (75.17)28863 Race Ethnicity White * 445 (1.6)2039 (7.3)4807 (17.2)20534 (73.8)27825 African American * 12 (0.6)33 (1.5)557 (26.1)1531 (71.8)2133 American Indian /Alaska Natives * 6 (1.6)25 (6.6)130 (34.2)219 (57.6)380 Other * 14 (1.5)57 (6.2)199 (2.1)647 (70.6)917 Hispanic19 (1.1)40 (2.2)369 ( (76.2)1802 Tobacco Use Characteristics of Male respondents – BRFSS 2008* * Data from participating states † Non Hispanic Results: BRFSS 2008

* Data from participating states Results: BRFSS 2008

Covariate CCT User n (%) Exc. ST User n (%) Exc. Smoker n (%) Non Tobacco User n (%) Total n Marital Status Married254 (1.2)1513 (7.0)2986 (13.0)16742 (77.9)21495 Widowed17 (0.8)115 (5.4)323 (15.3)1659 (78.5)2114 Divorced/Separated101 (2.1)318 (6.5)1525 (31.3)2928 (60.1)4872 Never Married126 (2.6)258 (5.4)1247 (26.3)3119 (65.7)4750 General Health Excellent61 (1.1)403 (7.0)632 (11.1)4621 (80.8)5717 Very Good155 (1.5)731 (6.9)1662 (15.8)7988 (75.8)10536 Good166 (1.8)655 (6.2)2202 (21.0)7475 (71.2)10498 Fair/Poor115 (1.8)403 (6.2)1595 (24.7)4343 (67.3)6456 * Data from participating states Tobacco Use Characteristics of Male respondents – BRFSS 2008* Results: BRFSS 2008

Age (Years)OR (95% CI) 18 – (2.64 – 5.00) 26 – (1.23 – 2.11) 35 or OlderReferent Results: BRFSS 2008

Race/EthnicityOR (95% CI) WhiteReferent African American1.67 (0.85 – 3.25) American Indian/ Alaska Native1.10 (0.44 – 2.70) Other1.12 (0.62 – 2.04) Hispanic2.18 (1.25 – 3.79) Results: BRFSS 2008

Education LevelOR (95% CI) Less than High School1.68 (1.25 – 2.27) High School Graduate1.64 (1.33 – 2.03) Some College/College GraduateReferent Results: BRFSS 2008

Marital StatusOR (95% CI) MarriedReferent Widowed0.88 (0.52 – 1.49) Divorced/Separated1.89 (1.46 – 2.45) Never Married2.91 (2.26 – 3.80) Results: BRFSS 2008

General HealthOR (95% CI) ExcellentReferent Very Good1.40 (1.02 – 1.93) Good1.67 (1.22 – 2.30) Fair/Poor1.88 (1.34 – 2.65) Results: BRFSS 2008

Results: Trends in Tobacco Use Behavioral Risk Factor Surveillance Surveys BRFSS 2003 & BRFSS 2008 Delaware, Indiana, Nebraska, North Carolina, Texas, Wyoming

Results: Trends in Tobacco Use Tobacco User2003 % 2008 % % ChangeAnnual Percent Change CCT User ↓ 18.55↓ 4.08 Exclusive ST User ↑ ↑ 3.61 Exclusive Smoker ↓ ↓ 6.84 Non User ↑ 7.29

Results: Trends in Tobacco Use

Based on NSDUH, prevalence of concurrent tobacco use has increased from 2001 to Based on BRFSS (6 state sub-sample), prevalence of concurrent tobacco use has decreased from 2003 to Based on both surveys, prevalence of smokeless tobacco use has increased from 2000 to Conclusion

The study identified important socio- demographic factors related to concurrent tobacco use among ST user men Men of younger age are more likely to be concurrent tobacco user – Odds of ST user men years to be CCT user were 3.5 times higher BRFSS 2008* OR = 3.63 (2.64 – 5.00) NSDUH 2007 OR = 3.39 (3.38 – 3.41) Conclusion

Race ethnicity was significantly associated with CCT use – Hispanic ST user men were twice more likely to be CCT user as compared to White ST user men – American Indian/Alaska Natives were more likely to be exclusive ST user Conclusion

Significant association was found between education level and CCT use – Prevalence of CCT use was higher among ST user men with lower education (high school or less) ST user men who had good, fair, or poor health were more likely to use CCT as compared to those with excellent health Conclusion

Divorced or separated ST user men were 1.8 times more likely to be CCT user as compared to married ST user men Among never married these odds were more than double. Conclusion

Decrease in the prevalence of CCT use is still less than the decrease observed in smoking prevalence If current trend continues until 2020 – ST use – 11.57% – Smoking – 9.85% – CCT use – 0.97% Conclusion

Study found increase in ST use among smokers – Smoke free environment? – Harm reduction? Lack of clear direction of the shift in tobacco product Conclusion

Study identified sub groups of the population which are more likely to use CCT Risk of diseases associated with individual tobacco product might be higher among CCT users Tobacco prevention and cessation programs should address CCT use Public health impact of CCT is still unrecognized Future research – Identify other sub groups of the population – Cessation strategies Conclusion