Cancer scanning and seeking is associated with knowledge, lifestyle choices and screening behavior Minsun Shim, MA Bridget Kelly, MPH Robert C. Hornik,

Slides:



Advertisements
Similar presentations
Cancer-Focused News Coverage and Information Seeking Jeff Niederdeppe, Dominick Frosch & Robert Hornik Center of Excellence in Cancer Communication Research.
Advertisements

Fertility history and health in later life: A study among older women and men in the British Household Panel Survey Sanna Read and Emily Grundy Centre.
Covariates of perceived colon cancer risk Jennifer Hay, Ph.D., Elliot Coups, Ph.D., & Jennifer Ford, Ph.D. Department of Psychiatry & Behavioral Sciences.
Introduction and Aim Group identification describes our sense of belonging to the group and of commonality with other ingroup members. Research has shown.
Associations between Obesity and Depression by Race/Ethnicity and Education among Women: Results from the National Health and Nutrition Examination Survey,
Does Unequal Income Translate into Unequal Knowledge? The Knowledge Gap and Cancer Health Disparities.
Understanding Those Who Do and Do Not Plan to Get Colorectal Cancer (CRC) Screening Costanza ME, White MJ, Stark JR, Stoddard AM, Avrunin JS, Luckmann.
Deductible-based Health Insurance Plans: Are Complex Deductible Exemptions Confusing Patients? Mary Reed, DrPH Center for Health Policy Studies, Kaiser.
Concurrent Tobacco Use: A Study of Socio-demographic Correlates Nasir Mushtaq, MPH Laura A Beebe, PhD University of Oklahoma Health Sciences Center.
Sex Differences in the Prevalence and Correlates of Colorectal Cancer Testing: Health Information National Trends Survey Sally W. Vernon 1, Amy.
Taking the Edge Off: Exploring the Role of Stress in Drinking Across the Life Course Background and Aims Major Findings Methods Results Implications Paul.
Disparity in Patient-Provider Communication among Pregnant Latinas Apprentice Apprentice: Bonnie Young, MA, MPH Mentor Mentor: Ludmila Bakhireva, MD, PhD,
A Deeper Understanding of Avery Fitness Center Customers
1 SOURCES OF HEALTH AND CANCER INFORMATION by Lilnabeth P. Somera SESSION: Joining Forces through Social Media World Cancer Congress Melbourne, Australia,
Journal Club Meena Meka MD. Topic Association of Coffee Drinking with Total and Cause-Specific Mortality.
Cancer Burden in New Bedford and Fall River Massachusetts Comprehensive Cancer Prevention and Control Program Cancer Prevention Policy Initiative Meeting.
June 24, 2003 Health Communications Progress Review Focus Area 11.
Delaware Survey of Children’s Health March 7, 2013 Zhongcui Gao, Co InvestigatorJia Zhao, Co Investigator Judith Johnson, Team MemberMonica Burnett,
Patient Empowerment Impacts Medication Adherence among HIV-Positive Patients in the Veteran’s Health Administration Tan Pham 1,2,3, Kristin Mattocks 1,2,
Association between Systolic Blood Pressure and Congestive Heart Failure in Hypertensive Patients Mrs. Sutheera Intajarurnsan Doctor of Public Health Student.
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.
Evidence-Based Medicine 3 More Knowledge and Skills for Critical Reading Karen E. Schetzina, MD, MPH.
Risk and Worry as Predictors of Cancer Screening Behavior: Results Using HINTS Data Richard P. Moser, Ph.D. 1, Kevin McCaul, Ph.D. 2, Ellen Peters, Ph.D.
HS499 Bachelor’s Capstone Week 6 Seminar Research Analysis on Community Health.
Department of Human Development (0416), Department of Psychology (0436) & Center for Gerontology (0426), Virginia Polytechnic Institute and State University,
Self-reported cognitive and emotional effects and lifestyle changes shortly after preventive cardiovascular consultations in general practice Dea Kehler.
Two Research Examples: Marriage and Health Among Older Mexican Americans and the Texas City Study M. Kristen Peek, PhD Department of Preventive Medicine.
What Does “No Opinion” Mean in the HINTS? Michael P. Massagli, Ph.D. K. Vish Viswanath, Ph.D. Dana-Farber Cancer Institute.
Introduction Smoking and Social Networks Joseph R. Pruis, Student Research Collaborator, Rosemary A. Jadack, PhD, RN, Professor Department Of Nursing,
 Increasing age was associated with more time in sleep & leisure, & less in productive activity.  Females averaged less time in leisure & more time in.
Understanding Why Patients Accept Vaccination: A Socio-Behavioral Approach at the University of Louisville Vaccine and International Health and Travel.
Typologies of Alcohol Dependent Cocaine-using Women Enrolled in a Community-based HIV Intervention Victoria A. Osborne, Ph.D., MSW*, Linda B. Cottler,
Exploring The Determinants Of Racial & Ethnic Disparities In Total Knee Arthroplasty: Health Insurance, Income And Assets Amresh Hanchate, PhD Health Care.
Racial and Ethnic Disparities in the Knowledge of Shaken Baby Syndrome among Recent Mothers Findings from the Rhode Island PRAMS Hanna Kim, Samara.
Lipoatrophy and lipohypertrophy are independently associated with hypertension: the effect of lipoatrophy but not lipohypertrophy on hypertension is independent.
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.
Alcohol Consumption and Diabetes Preventive Practices: Preliminary Findings from the U.S.-Mexico Border Patrice A.C. Vaeth, Dr.P.H. Raul Caetano, M.D.,
Awareness of National Cancer Information Resources Linda Squiers, Ph.D. Lila Finney Rutten, Ph.D., MPH Audie Atienza, Ph.D. Mary Anne Bright, R.N., M.N.
Self-reported Effects of Prescription Drug Cost-Sharing: Decreased Adherence and Increased Financial Burden Mary Reed, MPH 1 Vicki Fung 1 Richard Brand,
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.,
Eating behaviors, a family history of divorce, and gender among college students: A five-day diary study. Louis A. Cornejo Jeffrey T. Cookston San Francisco.
Results Baseline Differences Between Groups No significant differences were found between ethnic groups on baseline levels of Praise (F = 2.006, p>.05),
College Student’s Beliefs About Psychological Services: A replication of Ægisdóttir & Gerstein Louis A. Cornejo San Francisco State University.
F UNCTIONAL L IMITATIONS IN C ANCER S URVIVORS A MONG E LDERLY M EDICARE B ENEFICIARIES Prachi P. Chavan, MD, MPH Epidemiology PhD Student Xinhua Yu MD.
The Impact of Birth Spacing on Subsequent Feto-Infant Outcomes among Community Enrollees of a Federal Healthy Start Project Hamisu M. Salihu, MD, PhD Euna.
NCD-Related Lifestyle Patterns from Childhood to Adolescence: A 13 Years Longitudinal Study Yi-Han Chang a, Lee-Lan Yen a,b, Hsing-Yi Chang b, Chi-Chen.
Explaining Racial and Ethnic Differences in Children’s Use of Stimulant Medications J.L. Hudson G.E. Miller J.B. Kirby September 8, 2008.
Routine Preventive Care and Cancer Surveillance in Long-Term Survivors (LTS) of Colorectal Cancer: Results from NSABP Protocol LTS-01 Hiroko Kunitake MD.
GOALS AND RECOMMENDATIONS FROM THE 2005 HINTS Data Users Meeting Gary L. Kreps, GMU Brad Hesse, NCI Rick Moser, NCI.
5 A Day Behavior and Knowledge of Recommendations in Relation to Health Communication in the Health Information National Trends Survey (HINTS) Jennifer.
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.
Housing Status and HIV Risk Behaviors Among Homeless and Housed Persons with HIV in the United States The findings and conclusions in this presentation.
OZAUKEE COUNTY COMMUNITY HEALTH SURVEY – March 2012 Commissioned by: Aurora Health Care Children’s Hospital of Wisconsin Columbia St. Mary’s Health System.
Printed by Natural History of Sun Protection Behaviors in a Cohort of Children in Colorado Nancy L. Asdigian PhD,* Lori A. Crane.
Vitamin D: A New Frontier in Diabetes Management Contact Information: Background Acknowledgement Methods.
Note: Adjusted R square; * = p
BREAST CANCER BY STAGE OF DISEASE AT DIAGNOSIS, CENTRAL OKLAHOMA Arthur Owora, MPH; Aaron Wendelboe, PhD; David Thompson, PhD; Janis Campbell, PhD The.
Do Decision Aids Promote Shared Decision-Making for Prostate Cancer Screening? Alex Krist MD Steven Woolf MD MPH Robert Johnson PhD Department of Family.
Patterns of HPV vaccination among Latinos: Key factors for consideration Rachel A. Reimer, PhD Chair Department of Public Health Director MPH program Associate.
Arnold School of Public Health Health Services Policy and Management 1 Women’s Cancer Screening Services Utilization Versus Their Insurance Source Presenter:
SSDS Inc. Intentional injury in the U.S. Army: Is a college education the answer? Nicole S. Bell, ScD, MPH Thomas C. Harford, PhD Social Sectors Development.
Disparities in process and outcome measures among adults with persistent asthma David M. Mosen, PhD, MPH; Michael Schatz, MD, MS; Rachel Gold, PhD; Winston.
Rabia Khalaila, RN, MPH, PHD Director, Department of Nursing
Temporal changes in the nature of disability: US Army soldiers discharged with disability, Nicole S. Bell, ScD, MPH Carolyn E. Schwartz, ScD.
UCSF Fresno Family and Community Medicine Dept.
College of Nursing ● University of Kentucky ● Lexington, KY
Cognitive Impacts of Ambient Air Pollution in the National Social Health and Aging Project (NSHAP) Cohort Lindsay A. Tallon MSPH1, Vivian C. Pun PhD1,
Hepatitis B Vaccination Assessment Adults Aged Years National Health Interview Survey, 2000 Gary L. Euler, DrPH1, Hussain Yusuf, MBBS2, Shannon.
In the name of Almighty, Eternal, Just And Merciful GOD
Presentation transcript:

Cancer scanning and seeking is associated with knowledge, lifestyle choices and screening behavior Minsun Shim, MA Bridget Kelly, MPH Robert C. Hornik, PhD Center of Excellence in Cancer Communication Research Annenberg School for Communication University of Pennsylvania

Background Previous research on cancer information seeking has focused on active information seeking (i.e., calls to the Cancer Information Service). Previous research on cancer information seeking has focused on active information seeking (i.e., calls to the Cancer Information Service). There have been some findings linking seeking with cancer decision-making (Baker, 2003; Czaja, Manfredi & Price, 2003). There have been some findings linking seeking with cancer decision-making (Baker, 2003; Czaja, Manfredi & Price, 2003). These studies exclude information gathered incidentally from sources in the environment. These studies exclude information gathered incidentally from sources in the environment.

Information scanning Information gathered incidentally from sources in the environment. Information gathered incidentally from sources in the environment. Examples: Examples: -a television program which is on while someone is engaged in another activity -an article one comes across through routine use of the newspaper

Research questions What patterns are found in individuals’ cancer scanning and seeking behavior? What patterns are found in individuals’ cancer scanning and seeking behavior? How does cancer SSB differ depending on individual characteristics? How does cancer SSB differ depending on individual characteristics? How is cancer SSB associated with knowledge about cancer? How is cancer SSB associated with knowledge about cancer? How is cancer SSB associated with lifestyle and screening behavior? How is cancer SSB associated with lifestyle and screening behavior?

Methods Data: 2003 HINTS, RDD (N=6,369) Data: 2003 HINTS, RDD (N=6,369) Measurement Measurement - Information Scanning. “ - Information Scanning. “How much attention do you pay to information about health or medical topics on…:” - Information Seeking. Looking for cancer information within the last year. - Information Seeking. Looking for cancer information within the last year. - Information Scanning and Seeking Behavior (SSB). A typology of: “Low Scan-No Seek,” “Low Scan-Seek,” “High Scan-No Seek” and “High Scan-Seek.” - Information Scanning and Seeking Behavior (SSB). A typology of: “Low Scan-No Seek,” “Low Scan-Seek,” “High Scan-No Seek” and “High Scan-Seek.”

Methods (cont.) - Individual Characteristics. Health status, the cancer history of respondents and family members, and socio-demographic characteristics (age, gender, race/ethnicity, education and marital status) - Individual Characteristics. Health status, the cancer history of respondents and family members, and socio-demographic characteristics (age, gender, race/ethnicity, education and marital status) - Knowledge about cancer. 11 items including the impact of several risk factors for cancer, as well as knowledge about recommended daily allowances for fruit and awareness of specific screening tests. - Knowledge about cancer. 11 items including the impact of several risk factors for cancer, as well as knowledge about recommended daily allowances for fruit and awareness of specific screening tests. - Lifestyle Behavior. Smoking, eating fruits and vegetables, and exercising. - Lifestyle Behavior. Smoking, eating fruits and vegetables, and exercising. - Screening Behavior. Colonoscopy, PSA, and mammogram - Screening Behavior. Colonoscopy, PSA, and mammogram

Results Socio-demographics -Gender: 60% female -Race/Ethnicity: 67% non-Hispanic White, 12% Hispanic, 11% non-Hispanic Black 12% Hispanic, 11% non-Hispanic Black -Age: 26% 18-34, 21% 35-44, 19% 45-54, 24% 55-74, 9% over 75. -Education: 31% four or more years of college, 27% some college, 30% high school degree or GED, 12% less than a high school degree. -Marital status: 53% married

Results (cont.) Cancer Information SSB (Gamma=.447, p<.001) Information Scanning Low Scan High Scan InformationSeeking No Seek 40.6% (n=2,556) 30.4% (n=1,913) Seek9.8% (n=617) 19.2 % (n=1,207)

Family history of cancer and SSB Those who had a family member with cancer experience were more likely to be scanners (OR= 1.14, 95% CI = ) as well as seekers (OR= 1.85, 95% CI= ) according to logistic regression. Note: 62.9% of the total sample had had cancer patients among their family members. N= 6,298.

Gender and SSB Gender had a statistically significant association both with information scanning and with seeking (OR= 1.58, 95% CI= and OR= 1.51, 95% CI= , according to logistic regression). Note: 60.4% of the total sample was female. N= 6,359.

Marital status and SSB Respondents’ marital status had a statistically significant association with cancer information scanning (OR= 1.44, 95% CI= , according to logistic regression). Interestingly, an interaction of seeking and scanning is significant at p<.05. Note: 52.8 % of the sample was married. N= 6,126.

SSB and Cancer Knowledge According to OLS multiple regression, both information scanning and seeking were positively associated with knowledge about cancer (  =.175, p <. 001 and  =.092, p<.001). Moreover, scanning and seeking had a negative interaction in their effects on knowledge about cancer (  = -.041, p<.001). Note: Values are the mean of predicted values of cancer knowledge. Among the total sample, the mean was 7.27.

SSB and Lifestyle Behavior Respondents who paid more attention to health media were more likely to behave in healthy ways (  =.094, p<.001). Those who sought information for themselves were more likely to adopt healthy lifestyles (  =.065, p<.001). No interaction between seeking and scanning. Note: Values are the mean of predicted values for 3 lifestyle behaviors. Among the total sample, the mean was 1.44.

SSB and Screening Behavior Both scanning and seeking were positively associated with colonoscopy Scanning, but not seeking, was associated with mammogram Scanning and seeking were associated with PSA and there was a negative interaction between them Scanning and seeking were associated with PSA and there was a negative interaction between them

Discussion Scanning and seeking are distinct behaviors, often having different associations with demographics or outcome behaviors. Scanning and seeking are distinct behaviors, often having different associations with demographics or outcome behaviors. Both scanning and seeking were positively associated with cancer knowledge. Both scanning and seeking were positively associated with cancer knowledge. Both those who scanned and sought were more likely to engage in the healthy lifestyle behaviors. Both those who scanned and sought were more likely to engage in the healthy lifestyle behaviors. Those who did more scanning, were more likely to get screened. Those who did more scanning, were more likely to get screened.

Discussion (cont.) For PSA and colonoscopy (but not for mammograms), seeking was also associated with screening. For PSA and colonoscopy (but not for mammograms), seeking was also associated with screening. For PSA, there was an interaction between scanning and seeking. Men who reported no information seeking were influenced by scanning while for those who were seekers, scanning had no predictive value. For PSA, there was an interaction between scanning and seeking. Men who reported no information seeking were influenced by scanning while for those who were seekers, scanning had no predictive value.

Limitations No causal direction No causal direction Construct validity: Scanning measure confounds attention to each medium with exposure to that medium. Construct validity: Scanning measure confounds attention to each medium with exposure to that medium. Only investigating SSB as a persistent style, when it might be context specific. Only investigating SSB as a persistent style, when it might be context specific. Limited measures for lifestyle scale. Limited measures for lifestyle scale.

Conclusion There are a number of unanswered questions, particularly regarding the interactions found in this study. There are a number of unanswered questions, particularly regarding the interactions found in this study. HINTS II includes measures which might help to clarify some of these points. HINTS II includes measures which might help to clarify some of these points. The CECCR at UPENN’s Annenberg School has an active research program aimed at further investigating questions regarding SSB and its association with knowledge, lifestyle and screening behavior. The CECCR at UPENN’s Annenberg School has an active research program aimed at further investigating questions regarding SSB and its association with knowledge, lifestyle and screening behavior.

Acknowledgements Jeffrey Niederdeppe, M.A. Dominick Frosch, PhD Giang Nguyen, MD Anca Romantan, PhD Judi Weiner, PhD Megan Kasimatis CECCR Center Annenberg School for Communication University of Pennsylvania