Epidemiology: Chronic Disease (Chapter 1-4) – Flashcards

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epidemiology:
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the study of how disease is distributed in populations and the factors that influence/ determine their distribution.
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The study of _______ among a population.
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mental disease infectious disease *ebola chronic disease *CVD
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clinical care:
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focus on one person or small group of people. *primary *secondary *tertiary
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public health:
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the field of research, science and practice focusing on the health of a community. (center of prevention) *community is patient.
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unit of observation
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population
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Epidemiology's 5 Primary Objectives:
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1. existence and etiology of a disease. 2. risk factors 3. history of the disease 4. assess prevention measures for the disease 5. public policy
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first responders:
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health care workers report cases of a disease or deaths among members of society.
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risk factor:
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a variable associated with an increased risk in disease or infection.
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determinant:
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another word for risk factor.
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4 major goals of epidemiology
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1. determine whether exposure really cause the health outcome. 2. population subgroup is at risk for contracting the disease. 3. implement screening procedures. 4. modify risk external (environmental changes) or internal (behavior changes).
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epidemiological reasoning approach
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* plausibility ; possibility * probability * inference
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plausibility ; possible association
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-association us not causation. correlation is not causation.
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epidemic:
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an outbreak of a disease that is significantly larger in numbers than what health professionals expected to occur in a given time in a given place. - outbreak - rapidly
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pandemic:
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worldwide epidemic
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endemic:
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disease is naturally reoccurring in a given number of cases to occur every year - in that region.
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Endemic can lead to _______, which can lead to _______.
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epidemic, pandemic
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morbidity:
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disease
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mortality:
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death
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Another term for determinant
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exposure
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incidents
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new cases
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prevalence
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old and new cases
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Independent variable
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determinant
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Dependent variable
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outcome
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What causes a change in dependent variable?
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independent variable.
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2 types of errors
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- systemic (bias) - random (chance)
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descriptive epidemiology
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the frequency and the distribution of risk factors and diseases in a population.
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descriptive
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describes date, CAN NOT infer CAUSALITY!!!!
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analytic epidemiology
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seeks to identify specific factors that increase or decrease the risk of disease and the quantify the associated risk.
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analytical
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quantifies risk, CAN infer CAUSALITY!!!
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infectious disease
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- short -host to host - aka communicable, transmissible.
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chronic disease
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- life long - uncertain etiology - noncontagious - long latency period - incurable - multifactorial origins
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virulence:
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how poisonous or damaging an organism is.
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Disability Adjusted Life-Year (DALY)
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YLD +YLL Man dies at 69. Average life expectancy is 75 75- 69 = 6 =YLL Lets say he live 10 years with the disease -; 10 = YLD DALY = 16
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upstream determinants:
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behavioral, social, physical environments.
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downstream determinants:
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disease/death, optimum health status.
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Hippocrates:
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father of ethical theory of clinical-based care of patients (also father of epidemiology).
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Humoral theory (four humors) -;hippocrates.
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- yellow bile -black bile - blood - phlegm
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Edward Jenner
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-development of small pox vaccine. - father of immunology.
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cartographic analysis (aka geographic information system (GIS))
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disease diffusion, hand washing of clinicians and medical professionals, food safety practices, and theories of disease causality. (John Snow) -cholera
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miasma theory:
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disease spread by air.
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germ theory: (Ignaz Semmelweis) -; chlorinated lime solution.
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defined as the notion that microorganisms can invade the body and cause death and disease.
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Alexander Fleming
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creator or penicillin
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Robert Koch
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creator of anthrax vaccine and the process of decontaminating food products.
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Koch postulates:
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1. the organism must be present in all cases of the specific disease. 2. the organism must be grown in an uncontaminated culture, isolated from other living organisms. 3. a vulnerable host must produce the disease when infected with a sample of the pure culture. 4. the living organism must then be observed in, and received from, the infected host.
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Koch postulates is an example of
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causal theories.
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Jonas Salk (Polio)
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developed first vaccination with dead/inactive strain of virus. required an injection.
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Albert Sabin (Polio)
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other vaccine was created by him. Vaccine was oral inoculation.
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theory of multiple causality
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understand morbidity and mortality as the result from a series of different exposures over the lifespan.
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multiple causality
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is a series of health adverse exposure (negative health behaviors).
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5 causal theories discussed:
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-humoral theory -germ theory -miasma -Koch's postulates - Theory of multiple causality
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top 3 chronic diseases
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1. heart disease 2. cancer 3. stroke
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top 3 infectious disease
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1. pneumonial/ influenza 2. tubercolosis 3. gastritits
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Global perspective:
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1. limited resources 2. lack of technology 3. lack of preventive healthcare 4. education
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prevention (primary and secondary):
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an intervention occurs before the onset of a disease.
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control (secondary or tertiary):
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may occur later in the disease course. - amputation - blindness - renal failure (diabetes)
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health promotion (primary):
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also known as primordial prevention.
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primary prevention:
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reduces disease.
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secondary prevention:
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decreases the duration and severity of the disease. -screening for breast cancer.
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tertiary prevention:
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reduces complications of existing disease. - eye examination for people with diabetes.
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Health disparites:
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- language
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Rigorous methodology
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-forming hypothesis -measuring -analysis -discovery
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ecological perspective:
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where individual, health behavior, social environment are interdependent.
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probability:
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estimate of how likely something will occur.
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statistics:
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study of the collection, organization, analysis, interpretation and presentation of data.
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use probability and statistics
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to determine if there is a significant risk or odds of a certain determinant causing a certain health outcome.
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variable:
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any quality, attribute, or characteristics of a specific entity that varies in quantity or some other type of measurable phenomenon; has different values within the study. -basically anything that can be measured ~hair color, sex, BMI
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Health outcomes
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-protective factor (not always a bad outcome).
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operationalize:
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define/measure
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categorize:
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put them into groups.
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generalizability (external validity)
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you cannot infer.
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confounding variables:
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-a variable that influences the IV and DV -threatens internal validity -may compete with the IV
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external validity:
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threatens the generalizability of study's findings/results across settings, times, and people.
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internal validity:
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threatens whether a relationship really exists between IV and DV. -important in determining causality (high internal validity).
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psychometric analysis (internal validity)
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- ensuring your measurements are producing reliable and valid data (use original instrumentation) - this would threatened internal validity. - a systematic bias can occur.
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original instruments:
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create your own survey.
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existing instrument:
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using a survey that someone else has created.
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fixed population:
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relatively permanent.
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dynamic population:
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people moving in out of the group.
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attrition (internal validity)
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-loss of follow-up; having less people at the end of the study than what you began with.
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Analytic
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you can infer causality.
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continuous data (if the data is in fractions or decimals) -interval -ratio these two are also called SCALE DATA
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-a set of information that can hold any value Ex: blood pressure, weight, height, blood glucose. - histogram would be best to present the data.
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discrete data -nominal (demographic information; ask your race) -ordinal (a set of information ranked into some semblance of order; freshman, sophomore, junior, senior) these two are also called CATEGORICAL DATA
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-contains certain numbers of values. - a bar graph would be best to present the data.
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cumulative incidence:
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number of new cases in given time.
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incidence rate:
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number of new cases per population in a given time period.
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