1/14/11 Health Behavior and Cancer Richard O’Connor, Ph.D. Associate Professor of Oncology Department of Health Behavior Roswell Park Cancer Institute Objectives Explain role of behaviors in etiology and treatment of cancer Explain theories of health behavior and behavior change Explain issues of measurement in health behavior Relevance of Behavior Risk factors Protective/preventative factors Screening Information seeking 1 1/14/11 Role of Behaviors in Cancer Tobacco use accounts for about 1/3 of cancer deaths Physical inactivity and poor diet account for up to 30% of cancer deaths Compliance with screening recommendations, which can help prevent or mitigate cancer, is a behavioral issue Mammography, colonoscopy, PSA/DRE, PAP Behavioral Risk Factors Smoking Lung, oral, trachea, bladder, esophagus, kidney, pancreas, cervix, colon, leukemia, stomach Smokeless tobacco use Oral, pancreas Physical inactivity Colon, breast Alcohol use Oral, esophagus, liver Sexual activity Cervix, Oral Low fruit and vegetable consumption Breast, colorectal, oral, larynx, esophagus, stomach Obesity Breast, endometrium, kidney, esophagus, colon Tanning/Excessive sun exposure Melanoma Worldwide deaths from sitespecific cancers attributable to selected risk factors by sex. For every cancer site, solid blocks of color represent deaths not attributable to risks assessed and broken blocks of color represent deaths attributable to selected risk factors Danaei et al. Lancet 2005. 2 1/14/11 Conceptual model depicting the relations between discrete aspects of cancer fear/anxiety, their function, and impact on screening behavior. Consedine N S et al. Cancer Epidemiol Biomarkers Prev 2004;13:501-510 ©2004 by American Association for Cancer Research Purpose of a Theoretical Framework Focus attention on certain factors, allowing you to ignore others; Models force the investigator to make causal assumptions explicit. To make predictions (allows hypothesis testing) For practitioners models allow one to understand why interventions work or fail to work and help guide improvements in programs. Health Behavior Models Stimulus response theory (rewards & punishments) Cognitive theories (tell me what I need to know) Health belief model (HBM) Theory of Reasoned Action Social Learning Theory (social influences and expectations) Diffusion of Innovations (macro social influences) 3 1/14/11 Theory of Reasoned Action Behavior is best predicted from a person’s intention to perform the behavior. Intention to perform the behavior is the result of two factors: Attitude about the behavior Social norms related to the behavior Theory of Planned Behavior Extends TRA to include perceived behavioral control Belief that one has, and can exercise, control over performing the behavior People may try harder to perform a behavior if they feel they have a lot of control over it Behavioral skills 4 1/14/11 Attitude toward the behavior Attitude toward the behavior is a function of one’s beliefs about the following: Belief that doing the behavior will lead to a particular outcome; The individual’s evaluation of the outcome (rating of good or bad) Social Norms behavioral expectations and cues within a society or group customary rules of behavior that coordinate our interactions with others Deference to the social norms maintains one's acceptance and popularity within a particular group ignoring the social norms risks one becoming unacceptable, unpopular or even an outcast from a group Social Norms Norms are a special category of beliefs perceived to be socially shared regarding prevalent or prescribed behaviors behavioral (descriptive) norms refer to the most common actions or behaviors actually exhibited in a social group. what most individuals of a social group actually do. attitudinal (injunctive) norms refer to the most widely shared beliefs or expectations in a social group about how people in general or members of the group ought to behave in various circumstances. 5 1/14/11 Social Norms A way to shape individual behavior is to alter the social norms around that particular behavior if you alter the injunctive norm, the descriptive norm may follow Social Norms a key part of social-cognitive theories of health behavior but we rarely stop to think about what the norms are and how they came to be Important people smoke…like doctors! 6 1/14/11 Cancer for the Holidays… SMOKING ON FILM: Case study in social norming • In 1937-8 alone, tobacco companies agreed to pay stars at least $3.2 million (2008 dollars) for their advertising services. • The tobacco companies spent more to advertise Hollywood than Hollywood spent to advertise itself. • This pattern of intense cross-promotion changed only when tobacco companies began shifting their advertising dollars to the new medium of television and the "Studio System" of talent contracts ended in the early 1950s. 7 1/14/11 Precaution Adoption Process Model Stage theory describing movement from lack of awareness to maintenance of a behavior People who are unaware or unengaged in an issue are different from those who have simply decided not to act Precaution Adoption Process Model People move through stages in linear fashion, but can recycle through stages after ‘deciding.’ Interventions may differ for people in different stages Raising awareness Increasing engagement Motivating to act 8 1/14/11 Transtheoretical Model Behavior change as process, not event 5(6) distinct stages (Stages of Change) Precontemplation, contemplation, preparation, action, maintenance, (termination) Circular rather than linear (people can move between stages readily in any sequence) Processes of Change Transitions between the stages of change are effected by processes of change. consciousness raising, counterconditioning, dramatic relief, environmental reevaluation, helping relationships, reinforcement management, self-liberation, selfreevaluation, social liberation, and stimulus control. Transtheoretical Model Extended TTM includes decisional balance and self efficacy TTM originally developed out of smoking cessation, but is now widely applied to hard-to-change behaviors, particularly relapsing behaviors. 9 1/14/11 Behavioral Diagnosis: ASK: What is the behavioral problem in whom, when, where? (Identify and describe the health behavior) ASK: Why? (What are the correlates of this behavioral problem? – i.e. knowledge, beliefs, attitudes, values, social norms, behavioral skills, situational determinants) ASK: What can be done to change the problem? (Is there an intervention or a way to correct or change the behavioral problem? – i.e. how can you bring about behavioral change?) Measurement of Behavior Measuring Behavior: How do you measure behavior? Levels of measurement: (nominal, ordinal, interval, ratio) Measurement Error The combined error that results from inevitable imperfections and variability in the process of measurement Random error Systematic Error (BIAS) Reliability and Validity in measurement 10 1/14/11 Reliability Concerns the extent to which measurement is repeatable and consistent (free from random errors) If the random error in your measurements is so large that there is almost no stability in your measures, you can't explain anything! Reliability Reliable measures: measure a variable precisely and consistently. Factors to consider when determining reliability of a measure: Precision Sensitivity Resolution Consistency Reliability also serves as a limiting factor on the correlation one can see between two measures Types of Reliability Test-retest reliability Inter-rater reliability Intra-observer reliability Parallel forms reliability Internal consistency Measuring Reliability Reliability is often expressed as a correlation coefficient (i.e. Pearson or Spearman rank) There are also other measures of reliability (i.e. index of concordance, Kappa, Cronbach’s alpha, etc.) 11 1/14/11 Validity The extent to which a measurement actually measures what it is intended to measure Factors to consider when determining validity of a measure: Accuracy Specificity Types of Validity: Face validity Criterion validity (concurrent, predictive, discriminant) Construct validity Internal validity External validity (generalizability) Biochemical validation Threats to Internal Validity: Threats to External Validity: Selection Learning Attrition Experimenter effects History Reactance Regression to the mean Diffusion Instrumentation Poor operationalization Maturation 12 1/14/11 Sources of Invalidity of Measures Reactive measurement effects Awareness of being tested Role selection Measurement as change agent Response sets Error from the Investigator Interviewer effects Change in research instrument WORDING MATTERS!!! VALIDITY IS ALSO AFFECTED BY BIAS ! Bias is the result of systematic error in the design or conduct of a study Selection Bias Information Bias Bias has a preferred direction and won’t average out over participants Day effects Order effects Practice effects We spend a lot of time designing studies to avoid bias There’s a difference between bias and imprecision BIAS IMPRECISION 13 1/14/11 Feasibility Concerns whether the proposed measurement procedure is possible, practical, and worthwhile Consider: Time Cost Cost-benefit analysis: ASK… Does the information obtained justify the time and cost required? Developing Measures Development of measures or identification of suitable existing measures is crucial to any evaluation or study Direct vs. Indirect Multiple measures Proximate measures Careful attention needs to be paid to how the measure is taken Wording makes a difference Questions should be age and culturally appropriate Context matters 14 1/14/11 Types of Measures: Measuring effects on persons served Measuring effects on agencies Measuring effects on larger systems Measuring effects on the public Measuring microbehaviors Proximate measures Measuring one behavior in order to assess the behavior of true interest Sometimes, the best you can do is a proxy measure Also can use proxy measures when the behavior of interest is distal Measuring urine carcinogen levels as index of disease risk from smoking in currently healthy smokers Unobtrusive measures Measuring without the subject’s knowledge Don’t necessarily have to even have the subject present Less risk of reactance; may be ‘truer’ measure of behavior 15 1/14/11 Examples of unobtrusive measures Differential erosion of floor tiles in museum as index of popularity of exhibits Clustering by race/ethnicity in a college dining hall as index of racial attitudes Number of condoms taken from a tray as index of community interest in safer sex Counting number of disposed alcoholic beverage bottles outside a house as index of alcohol intake Using spent cigarette butts to measure smoking behaviors Hidden cameras and other methods of observation Measurement of correlates of Behavior Attitudes (Likert scales, Semantic differential, rating scales, Q-sorts) Beliefs (perceived risks vs. absolute risks) Knowledge Values Behavioral skills Social influences Situational influences Scales: Multiple measures Because most behavioral measures are fallible, we need more than one to measure a construct The more items you endorse, the stronger the attitude GUTTMAN SCALE ITEM 1 DOMAIN SAMPLING SCALE ITEM 2 ITEM 3 ITEM 4 EVENT 1 RISK SCALE EVENT 2 EVENT 3 Risk Multiple items measure the same underlying construct in different ways; items correlated The more events you identify, the greater your risk; items not necessarily correlated 16 1/14/11 Methods of Data Collection Focus Groups In-person Telephone-based Computer web-based Surveys Interviews Questionnaires Observation In-person Hidden Selecting the Survey Method Population issues Sampling issues Question issues Content issues Bias issues Administrative issues Advantages & disadvantages of survey methods: Interviews VS. Questionnaires What are the COSTS vs. BENEFITS of the available methods . . .??? Surveys: Interviews, Questionnaires Examples: BRFSS: http://www.cdc.gov/brfss/ YRBSS: http://www.cdc.gov/nccdphp/dash/yrbs/ NHIS: http://www.cdc.gov/nchs/nhis.htm NHANES: http://www.cdc.gov/nchs/nhanes.htm NSDUH: http://www.samhsa.gov/oas/nhsda.htm MTF: http://www.monitoringthefuture.org/ 17 1/14/11 Direct Observation Types of observation: Clinical Exam Physical measurement Observation in a defined setting Observation in an undefined setting Intra-observer vs. inter-observer reliability Factors affecting observer reliability Other Data Sources Some examples of other data sources: Medical records Government statistics Self-report diary or journal records Expert panel meetings Consensus meetings Scientific meetings/conferences Shameless Plug Space for 1-2 students in my laboratory for research experience Tobacco product characterization Consumer perception research Exposure studies with novel products Could lead to final MS project Contact me: [email protected] 18
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