Chapter 2. Epidemiological and Toxicological Studies

Similar documents
Epidemiology: Overview of Key Concepts and Study Design. Polly Marchbanks

CPH601 Chapter 3 Risk Assessment

Handout 1: Introduction to the Research Process and Study Design STAT 335 Fall 2016

Dose and Response for Chemicals

Rapid appraisal of the literature: Identifying study biases

Is There An Association?

ADENIYI MOFOLUWAKE MPH APPLIED EPIDEMIOLOGY WEEK 5 CASE STUDY ASSIGNMENT APRIL

Epidemiologic Methods and Counting Infections: The Basics of Surveillance

Confounding and Bias

VALIDITY OF QUANTITATIVE RESEARCH

INTRODUCTION TO EPIDEMIOLOGICAL STUDY DESIGNS PHUNLERD PIYARAJ, MD., MHS., PHD.

Epidemiologic Methods I & II Epidem 201AB Winter & Spring 2002

Confounding. Confounding and effect modification. Example (after Rothman, 1998) Beer and Rectal Ca. Confounding (after Rothman, 1998)

Bias. A systematic error (caused by the investigator or the subjects) that causes an incorrect (overor under-) estimate of an association.

Interpretation of Epidemiologic Studies

You can t fix by analysis what you bungled by design. Fancy analysis can t fix a poorly designed study.

Biases in clinical research. Seungho Ryu, MD, PhD Kanguk Samsung Hospital, Sungkyunkwan University

In the 1700s patients in charity hospitals sometimes slept two or more to a bed, regardless of diagnosis.

3. Factors such as race, age, sex, and a person s physiological state are all considered determinants of disease. a. True

Main objective of Epidemiology. Statistical Inference. Statistical Inference: Example. Statistical Inference: Example

Observational Study Designs. Review. Today. Measures of disease occurrence. Cohort Studies

University of Wollongong. Research Online. Australian Health Services Research Institute

Causal Association : Cause To Effect. Dr. Akhilesh Bhargava MD, DHA, PGDHRM Prof. Community Medicine & Director-SIHFW, Jaipur

An Introduction to Epidemiology

Confounding and Interaction

Data that can be classified as belonging to a distinct number of categories >>result in categorical responses. And this includes:

The Research Enterprise in Psychology Chapter 2

Unit 3: Collecting Data. Observational Study Experimental Study Sampling Bias Types of Sampling

Cigarette Smoking and Lung Cancer

Process of Designing & Implementing a Research Project

Epidemiologic Study Designs. (RCTs)

INTERNAL VALIDITY, BIAS AND CONFOUNDING

observational studies Descriptive studies

Clinical Research Design and Conduction

Evaluating Social Programs Course: Evaluation Glossary (Sources: 3ie and The World Bank)

Part 1: Epidemiological terminology. Part 2: Epidemiological concepts. Participant s Names:

Measures of Association

Epidemiology & Evidence Based Medicine. Patrick Linden & Matthew McCall

Suggested Answers Part 1 The research study mentioned asked other family members, particularly the mothers if they were available.

PSYC1024 Clinical Perspectives on Anxiety, Mood and Stress

Incorporating Clinical Information into the Label

Study design. Chapter 64. Research Methodology S.B. MARTINS, A. ZIN, W. ZIN

Anssi Auvinen University of Tampere STUK Radiation and Nuclear Safety Authority International Agency for Research on Cancer

ASSOCIATION & CAUSATION IN EPIDEMIOLOGICAL STUDIES. Dr. Sireen Alkhaldi Community Medicine, 2016/ 2017 The University of Jordan

Welcome to this third module in a three-part series focused on epidemiologic measures of association and impact.

What is a case control study? Tarani Chandola Social Statistics University of Manchester

Chapter 11: Experiments and Observational Studies p 318

Epidemiological study design. Paul Pharoah Department of Public Health and Primary Care

Research Methods & Design Outline. Types of research design How to choose a research design Issues in research design

Research Designs. Inferential Statistics. Two Samples from Two Distinct Populations. Sampling Error (Figure 11.2) Sampling Error

Cohort Study: Two by two table. Study Designs. Cohort Study: Example 1. Cohort Study: Direction of inquiry. Outcome. Exposure.

Overview of Study Designs

UNIT I SAMPLING AND EXPERIMENTATION: PLANNING AND CONDUCTING A STUDY (Chapter 4)

Chapter 13 Summary Experiments and Observational Studies

Appraising the Literature Overview of Study Designs

WORKSHEET: Etiology/Harm

Unit 1 Exploring and Understanding Data

Methodologies for development of human health criteria and values for the lake Erie drainage basin.

INTERPRETATION OF STUDY FINDINGS: PART I. Julie E. Buring, ScD Harvard School of Public Health Boston, MA

sickness, disease, [toxicity] Hard to quantify

Stratified Tables. Example: Effect of seat belt use on accident fatality

Chapter 13. Experiments and Observational Studies. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Executive Summary. This report provides the findings of a ten-month study requested by the Maryland

Bias. Sam Bracebridge

UNIT 5 - Association Causation, Effect Modification and Validity

Faculty of Medicine. Introduction to Community Medicine Course ( ) Unit 4 Epidemiology. Introduction to Epidemiology.

abcdefghijklmnopqrstu

Vocabulary. Bias. Blinding. Block. Cluster sample

What Case Study means? Case Studies. Case Study in SE. Key Characteristics. Flexibility of Case Studies. Sources of Evidence

W e have previously described the disease impact

Penelitian IKM/Epidemiologi. Contact: Blog: suyatno.blog.undip.ac.id Hp/Telp: /

Challenges of Observational and Retrospective Studies

STATISTICAL CONCLUSION VALIDITY

Chapter 11 Nonexperimental Quantitative Research Steps in Nonexperimental Research

Objectives. Lecture 6 July 16, Operating premises of risk assessment. Page 1. Operating premises of risk assessment

5 Bias and confounding

QUASI EXPERIMENTAL DESIGN

Confounding Bias: Stratification

Assignment #6. Chapter 10: 14, 15 Chapter 11: 14, 18. Due tomorrow Nov. 6 th by 2pm in your TA s homework box

Trial Designs. Professor Peter Cameron

General Biostatistics Concepts

JSM Survey Research Methods Section

Working Paper Modelling

Tool to Assess Risk of Bias in Cohort Studies

Lecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 1.1-1

Measures of Dispersion. Range. Variance. Standard deviation. Measures of Relationship. Range. Variance. Standard deviation.

Chapter 2 Evaluating Nutrition Information

Overview of Research Design in Epidemiology

Observational Medical Studies. HRP 261 1/13/ am

ILMC Tool Box Series 4.6. General Population and Community Issues. Health Issues for Lead Workers and the General Population. 1.

Who? What? What do you want to know? What scope of the product will you evaluate?

Evidence-Based Medicine Journal Club. A Primer in Statistics, Study Design, and Epidemiology. August, 2013

FAQs on bisphenol A in consumer products

Glossary of Practical Epidemiology Concepts

MODEL SELECTION STRATEGIES. Tony Panzarella

Lead Toxicity. How does it get from those forms inside humans?

Purpose. Study Designs. Objectives. Observational Studies. Analytic Studies

Retrospective Cohort Study of Disease Incidence Among Residents of Naval Air Facility (NAF) Atsugi, Ayase, Japan

Classification of study designs

Clinical problems and choice of study designs

Transcription:

Chapter 2 Epidemiological and Toxicological Studies

Introduction Epidemiological and toxicological studies seek to determine the cause of a particular illness or disease. Etiology is the study of causes. Epidemiological studies focus on real-world situations and attempt to determine if there is an association between a specific factor and an observed effect. Toxicological studies occur in a controlled laboratory environment where a known toxic substance is introduced and a specific effect is measured.

Epidemiological Studies (1) Epidemiology is the study of the causative factors that are associated with the incidence and distribution of disease and illness in a specific population. Epidemiological studies have been useful in establishing those factors that can cause cancer, heart disease, stroke, and other illnesses. They are particularly useful because large numbers of people can be studies, and the data obtained are representative of exposure and effects that reflect daily reality. cigarette smoking and lung cancer benzene exposure and leukemia in rubber manufacturing workers

Epidemiological Studies (2) Important attributes of epidemiological studies Epidemiological studies usually involve a comparison between two groups of individuals. Epidemiological studies often do not provide information in which a clear and specific cause-effect relationship can be established. Instead, the results often suggest an association between some causative factor or factors and the observed effect. Information obtained from epidemiological studies, which attempt to compile information related to past exposures, may be incomplete and inaccurate.

Retrospective and Prospective Epidemiological Studies (1) Retrospective epidemiological studies evaluate individuals who currently have a specific illness or disease and try to determine the cause by collecting information from past activities. Advantages More rapid performance of the study due to the fact that the illness or disease already exists Less costly because it doesn t require following the individuals until the illness or disease occurs. Disadvantages Incomplete records of exposure Inability to completely identify or control confounding factors Higher susceptibility to bias due to data obtained primarily from recall The fact that only a weak to moderate association between the illness or disease and the causative effect may be established.

Retrospective Epidemiological Studies Study design Sample Population Cases (With Disease) Trace Exposure to Risk Factor Back in Time Controls (No Disease) Exposed to Risk Factor Unexposed to Risk Factor Exposed to Risk Factor Unexposed to Risk Factor

Retrospective and Prospective Epidemiological Studies (2) Prospective epidemiological studies evaluate the health of individuals who are exposed to a causative agent to determine if the agent will increase the occurrence of an illness or disease in exposed versus nonexposed individuals. Advantages The exposure data are measurable and more reliable. They can identify and attempt to control confounding factors. They are able to measure the time between initial exposure and occurrence of disease or illness. They may be able to establish a stronger association between the illness or disease and the causative agent. They offer a better control of bias. Disadvantages The results are not available immediately - this is particularly true in illnesses such as cancer, which does not appear until many years after exposure has occurred. The cost is higher since study may occur over a period of five, ten, or even twenty years. Due to the duration of the study it is difficult to obtain and maintain information from individuals in the population individuals may move and not be counted in the final evaluation.

Prospective Epidemiological Studies Study design Sample Population Disease Free Individuals Individuals With Disease Exposed to Risk Factor Unexposed to Risk Factor With Disease Without Disease With Disease Without Disease

Measure of Disease Occurrence (1) Prevalence rate Number of existing cases of disease Proportion of individuals in a population with disease or condition at a specific point of time Diabetes prevalence, smoking prevalence Provides estimate of the probability or risk that one will be affected at a point in time Provides an idea of how severe a problem may be measures overall extent Useful for planning health services (facilities, staff) Prevalence rate number of a specifictime interval total number of people in specific population during people with attrribute during the same time interval

Measure of Disease Occurrence (2) Incidence rate Measure of new cases of disease (or other events of interest) that develop in a population during a specified period of time For example, annual incidence, five-year incidence Measure of the probability that unaffected persons will develop the disease Used when examining an outbreak of a health problem number of new casesin a fixed time period Incidence rate total number of people at risk during the same time period

Measure of Disease Occurrence (3) Prevalence varies directly with both incidence and duration. If incidence is low, but duration is long (chronic), prevalence will be high in relation to incidence. If prevalence is low because of short duration (due to recovery, migration or death), prevalence will be small in relation to incidence.

Measure of Disease Occurrence (4) Prevalence Example In 1999, a US state reported an estimated 253,040 residents over 20 years of age with diabetes. The US Census Bureau estimated that the 1999 population over 20 in that state was 5,008,863. Prevalence rate 253,040 0.051 5,008,863 In 1999, the prevalence of diabetes was 5.1% Can also be expressed as 51 cases per 1,000 residents over 20 years of age

Measure of Disease Occurrence (5) Incidence example A study in 2002 examined depression among persons with dementia. The study recruited 201 adults with dementia admitted to a long-term care facility. Of the 201, 91 had a prior diagnosis of depression. Over the first year, 7 adults developed depression. Incidence rate 7 110 0.064 The one year incidence of depression among adults with dementia is 6.4% Can also be expressed as 64 cases per 1,000 persons with dementia

Risk Definition The probability of an individual developing a response to a given etiological factor. Relative risk (RR) It is an estimate of the probability that a given individual will develop a particular effect when exposed to a specific etiological factor compared to a nonexposed individual. Attributable risk (AR) It is defined by the number of cases that develop a particular illness or disease and that is associated with a specific etiological factor. AR Incidencein exposedgroup - Incidencein unexposed group

Bias Bias may be introduced into an epidemiological study, which could potentially result in a false association being developed between the etiological factor and the measured response. Types of bias Selection bias Distortions that result from procedures used to select subjects and from factors that influence participation in the study. It occurs when groups of individuals are not comparable in all respects except the attribute being studied. Observation bias/information bias A flaw in measuring exposure, covariate, or outcome variables that results in different quality (accuracy) of information between comparison groups.

Confounding (1) The distortion of a measure of the effect of an exposure on an outcome due to the association of the exposure with other factors that influence the occurrence of the outcome. Confounding occurs when all or part of the apparent association between the exposure and outcome is in fact accounted for by other variables that affect the outcome and are not themselves affected by exposure.

Confounding (2) Confounding factors or confounders The extraneous factors responsible for differences in disease frequency between the exposed and unexposed. Properties of a confounder Associated with disease Restriction to association between a potential confounder and disease among unexposed Associated with exposure Restriction to association between a potential confounder and exposure among the source population Association with both disease and exposure alone dose not define a confounder Correlates of a true risk factor

Confounding (3) Characteristics of Confounders Confounders as extraneous risk factors The predictiveness for disease risk involves a mechanism other than the one under study "intermediate "factor not a confounders Judging the causal role of a potential confounder On the basis of the best available information, including nonepidemiologic data Summary: criteria for a confounding factor A confounding factor must be a risk factor for the disease. A confounding factor must be associated with the exposure under study in the source population (the population at risk from which the cases are derived). A confounding factor must not be affected by the exposure or the disease.

Confounding (4) Confounding originates from the interrelation of the confounders, exposure and disease in the source population from which the study subjects are selected. By altering the source population, design strategies such as restriction can prevent a variable from becoming a confounder.

Effect Modifier An effect modifier is the factor that influences the variation in the magnitude of a measure of exposure effect under study. Effect modification is detected by varying the selected effect measure for the factor under study across levels of another factor. Confounder Risk factor Disease

Toxicological Studies Toxicological studies are designed to establish a cause-effect relationship between a specific toxic substance and a measured response.

Acute v.s. Chronic Toxicity Studies Acute toxicity study It is usually less than 14 days in length. Chronic toxicity study It is of longer duration, lasting more than 14 days, perhaps weeks, months, or years.

Epidemiological Studies versus Toxicological Studies (1) The advantages of epidemiological studies are: The exposure conditions are realistic. There id occurrence of interactive effects among individual chemicals. The effects are measured in humans. The full range in human susceptibility is frequently expressed. The disadvantages are: They are costly and time consuming. They are post facto and not protective of health. They pose a difficulty in defining exposure and pose problems with confounding factors. The effects measured are often relatively crude, i.e., mortality.

Epidemiological Studies versus Toxicological Studies (2) The advantages of toxicological studies are: The exposure conditions are controlled. They give the ability to measure many types of responses. They give the ability to assess effect of host characteristics (e.g., gender, age, genetics) and other modifiers (e.g., diet) of response. There is the potential to evaluate mechanisms associated with the development of the symptoms. The disadvantages are: There are uncertainties in the relevance of animal response to human response. Controlled housing, diet, etc., is of questionable relevance to humans. The exposure concentrations and time of frames are often very different from those experienced by humans.

Epidemiological Studies versus Toxicological Studies (3) Epidemiological studies only identify an association or correlation between a toxic substance and some observed effect. Although the association may be strong, a definitive link between cause and effect is difficult to establish, usually because of the number of confounding factors associated with the study. These factors can result in incomplete and misleading information. Toxicological studies are designed to establish a direst cause-effect relationship. Usually the test animal is exposed to a single toxic substance and a specific effect recorded. Since most of the other environmental variables are controlled, it is easier to establish the direct cause-effect relationship.

Exposure Routes, Concentration, Duration, and Frequency Exposure of the test animals during a toxicological study may occur as a result of inhalation, dermal absorption, ingestion, or as the result of injection. Usually only one route is chosen. Regardless of which route is chosen, the variability associated with the concentration of the toxic substance, duration of exposure, and frequency of exposure are all eliminated by strict and controlled laboratory protocol.

Exposure Individuals Many different types of test animals are used in toxicological studies. The most frequently used animals are rats and mice. Many of the confounding factors such as sex, age, and health related to the test animal can be controlled. This helps minimize the number of variables that could affect chemical toxicity as well as the ability to accurately extrapolate animal data to humans.

Extrapolation of Data The dose to which a test animal is exposed is usually much higher than the one encountered in the real world. In many situations it is not clear whether the toxic substance causes the same response both at low and high exposure levels. Conversely, toxic effects observed in epidemiological studies are usually those associated with the lower doses. However, the presence of confounding factors and incomplete information concerning exposure make it difficult to draw definitive conclusions concerning the effects resulting from exposure at these levels.