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Cultural Sensitivity
Cultural sensitivity refers to the process by which health research and intervention respond to the cultural belief systems, behaviors, experiences, and social context of populations. Culturally sensitive approaches acknowledge that conceptualizing determinants of health behaviors and outcomes, conducting research, and creating interventions to reduce disease risks may not rely on universally applied predictors, methods, or settings. In addition, certain constructs may not have the same meaning or may be experienced differently in diverse groups. In epidemiology, cultural sensitivity has relevance to both study design and health promotion.
When conducting research, a culturally sensitive approach is necessary from the beginning of the study design. To appropriately consider the role culture plays in health, local experience and cultural norms must be built into the study methodology. That is, the research question being asked and the extent to which it is appropriately informed by sociocultural factors are critical in conceptualizing the study. For example, if a researcher seeks to investigate the risk factors for experiencing depression and operationalizes depression as a psychological state involving feelings of sadness or being ‘down,’ this very definition will artificially restrict the research findings if the study is conducted in a population that expresses depressive symptomatology primarily in physical terms or through other psychological symptoms, such as boredom.
The measures that are used to assess both health outcomes and risk factors must be carefully considered. This can be particularly true for studies in psychiatric epidemiology, where measurement of mental, as opposed to physical, illness presents unique challenges. For example, conditions such as ‘dependent personality disorder’ are themselves strongly imbued with cultural notions of abnormality and adaptive functioning, and these are likely to be built into the tools that researchers use to assess outcomes. Moreover, many standardized scales with established reliability and validity were initially developed with European American populations, and their validity with culturally diverse groups has not been empirically tested.
However, cultural sensitivity also applies to physical outcomes such as heart disease or other conditions that were once thought to be relatively ‘culture-free.’ In this regard, researchers must attend closely to the ways in which risk factors are defined and assessed. For example, food frequency questionnaires are often used to measure dietary intake. If the measure is not culturally sensitive, it may not include a variety of foods that are commonly consumed in the target population. If this is the case, the researcher may need to modify the instrument by providing additional spaces to report commonly eaten foods. Ideally, however, the measure would already have been validated in the relevant population and would include any foods typically consumed by the population being studied. Examining associations between stress and illness is another relevant example. When assessing stress, researchers must ensure that the measures are notbasedonsourcesofstressthatarelikelytobe irrelevant to the population in question, and they may need to include culturally specific sources of stress, such as racism, discrimination, acculturative stress, or language barriers.
In the research setting, a culturally sensitive approach would also attend to the interaction between researchers and participants. For example, racial/ethnic matching may be necessary, meaning that researchers who interact with participants would be of the same race or ethnic group. This is particularly true for certain topics such as worldview, stigma, identity, and experiences with racism. In these and other contexts, participants’ responses can be significantly affected by the interviewer. Informed consent procedures can also be made more culturally sensitive by paying particular attention to participants’ level of familiarity with the research enterprise and exploring possible feelings of mistrust. Additionally, research has shown that most consent forms are written at literacy levels that are too high for many participants and contain many technical terms and jargon. Poor readability of consent forms is compounded for those with limited English proficiency.
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- Behavioral and Social Science
- Acculturation
- Bioterrorism
- Community Health
- Community Trial
- Community-Based Participatory Research
- Cultural Sensitivity
- Demography
- Determinants of Health Model
- Ecological Fallacy
- Epidemiology in Developing Countries
- EuroQoL EQ-5D Questionnaire
- Functional Status
- Genocide
- Geographical and Social Influences on Health
- Health Behavior
- Health Belief Model
- Health Communication
- Health Communication in Developing Countries
- Health Disparities
- Health Literacy
- Health, Definitions of
- Life Course Approach
- Locus of Control
- Medical Anthropology
- Network Analysis
- Participatory Action Research
- Poverty and Health
- Quality of Life, Quantification of
- Quality of Well-Being Scale (QWB)
- Race and Ethnicity, Measurement Issues With
- Race Bridging
- Rural Health Issues
- Self-Efficacy
- SF-36® Health Survey
- Social Capital and Health
- Social Epidemiology
- Social Hierarchy and Health
- Social Marketing
- Social-Cognitive Theory
- Socioeconomic Classification
- Spirituality and Health
- Targeting and Tailoring
- Theory of Planned Behavior
- Transtheoretical Model
- Urban Health Issues
- Urban Sprawl
- Branches of Epidemiology
- Applied Epidemiology
- Chronic Disease Epidemiology
- Clinical Epidemiology
- Descriptive and Analytic Epidemiology
- Disability Epidemiology
- Disaster Epidemiology
- Eco-Epidemiology
- Environmental and Occupational Epidemiology
- Field Epidemiology
- Genetic Epidemiology
- Injury Epidemiology
- Maternal and Child Health Epidemiology
- Molecular Epidemiology
- Neuroepidemiology
- Nutritional Epidemiology
- Pharmacoepidemiology
- Psychiatric Epidemiology
- Reproductive Epidemiology
- Social Epidemiology
- Veterinary Epidemiology
- Diseases and Conditions
- Alzheimer's Disease
- Anxiety Disorders
- Arthritis
- Asthma
- Autism
- Avian Flu
- Bipolar Disorder
- Bloodborne Diseases
- Cancer
- Cardiovascular Disease
- Diabetes
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- Measles
- Oral Health
- Osteoporosis
- Parasitic Diseases
- Plague
- Polio
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- Schizophrenia
- Severe Acute Respiratory Syndrome (SARS)
- Sexually Transmitted Diseases
- Sick Building Syndrome
- Sleep Disorders
- Smallpox
- Suicide
- Toxic Shock Syndrome
- Tuberculosis
- Vector-Borne Disease
- Vehicle-Related Injuries
- Vitamin Deficiency Diseases
- Waterborne Diseases
- Yellow Fever
- Zoonotic Disease
- Epidemiological Concepts
- Attack Rate
- Attributable Fractions
- Biomarkers
- Birth Cohort Analysis
- Birth Defects
- Case Definition
- Case Reports and Case Series
- Case-Cohort Studies
- Case-Fatality Rate
- Cohort Effects
- Community Trial
- Competencies in Applied Epidemiology for Public Health Agencies
- Cumulative Incidence
- Direct Standardization
- Disease Eradication
- Effect Modification and Interaction
- Effectiveness
- Efficacy
- Emerging Infections
- Epidemic
- Etiology of Disease
- Exposure Assessment
- Fertility, Measures of
- Fetal Death, Measures of
- Gestational Age
- Health, Definitions of
- Herd Immunity
- Hill's Considerations for Causal Inference
- Incidence
- Indirect Standardization
- Koch's Postulates
- Life Course Approach
- Life Expectancy
- Life Tables
- Malnutrition, Measurement of
- Mediating Variable
- Migrant Studies
- Mortality Rates
- Natural Experiment
- Notifiable Disease
- Outbreak Investigation
- Population Pyramid
- Preclinical Phase of Disease
- Preterm Birth
- Prevalence
- Prevention: Primary, Secondary, and Tertiary
- Public Health Surveillance
- Qualitative Methods in Epidemiology
- Quarantine and Isolation
- Screening
- Sensitivity and Specificity
- Sentinel Health Event
- Syndemics
- Epidemiologic Data
- Administrative Data
- American Cancer Society Cohort Studies
- Behavioral Risk Factor Surveillance System
- Biomedical Informatics
- Birth Certificate
- Cancer Registries
- Death Certificate
- Framingham Heart Study
- Global Burden of Disease Project
- Harvard Six Cities Study
- Health Plan Employer Data and Information Set
- Healthcare Cost and Utilization Project
- Healthy People 2010
- Honolulu Heart Program
- Illicit Drug Use, Acquiring Information on
- Medical Expenditure Panel Survey
- Monitoring the Future Survey
- National Ambulatory Medical Care Survey
- National Death Index
- National Health and Nutrition Examination Survey
- National Health Care Survey
- National Health Interview Survey
- National Immunization Survey
- National Maternal and Infant Health Survey
- National Mortality Followback Survey
- National Survey of Family Growth
- Physicians' Health Study
- Pregnancy Risk Assessment and Monitoring System
- Relational Database
- Rochester Epidemiology Project
- Sampling Techniques
- Secondary Data
- Spreadsheet
- Youth Risk Behavior Surveillance System
- Ethics
- Genetics
- Association, Genetic
- Chromosome
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- Family Studies in Genetics
- Gene
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- Genetic Disorders
- Genetic Epidemiology
- Genetic Markers
- Genomics
- Genotype
- Hardy-Weinberg Law
- Heritability
- Human Genome Project
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- Linkage Analysis
- Molecular Epidemiology
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- Mutation
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- Phenotype
- Teratogen
- Twin Studies
- Health Care Economics and Management
- Biomedical Informatics
- EuroQoL EQ-5D Questionnaire
- Evidence-Based Medicine
- Formulary, Drug
- Functional Status
- Health Care Delivery
- Health Care Services Utilization
- Health Economics
- International Classification of Diseases
- International Classification of Functioning, Disability, and Health
- Managed Care
- Medicaid
- Medicare
- Partner Notification
- Quality of Life, Quantification of
- Quality of Well-Being Scale (QWB)
- SF-36® Health Survey
- Health Risks and Health Behaviors
- Agent Orange
- Alcohol Use
- Allergen
- Asbestos
- Bioterrorism
- Child Abuse
- Cholesterol
- Circumcision, Male
- Diabetes
- Drug Abuse and Dependence, Epidemiology of
- Eating Disorders
- Emerging Infections
- Firearms
- Foodborne Diseases
- Harm Reduction
- Hormone Replacement Therapy
- Intimate Partner Violence
- Lead
- Love Canal
- Malnutrition, Measurement of
- Mercury
- Obesity
- Oral Contraceptives
- Pain
- Physical Activity and Health
- Pollution
- Poverty and Health
- Radiation
- Sexual Risk Behavior
- Sick Building Syndrome
- Social Capital and Health
- Social Hierarchy and Health
- Socioeconomic Classification
- Spirituality and Health
- Stress
- Teratogen
- Thalidomide
- Tobacco
- Urban Health Issues
- Urban Sprawl
- Vehicle-Related Injuries
- Violence as a Public Health Issue
- Vitamin Deficiency Diseases
- War
- Waterborne Diseases
- Zoonotic Disease
- History and Biography
- Budd, William
- Doll, Richard
- Ehrlich, Paul
- Epidemiology, History of
- Eugenics
- Farr, William
- Frost, Wade Hampton
- Genocide
- Goldberger, Joseph
- Graunt, John
- Hamilton, Alice
- Hill, Austin Bradford
- Jenner, Edward
- Keys, Ancel
- Koch, Robert
- Lind, James
- Lister, Joseph
- Nightingale, Florence
- Pasteur, Louis
- Public Health, History of
- Reed, Walter
- Ricketts, Howard
- Rush, Benjamin
- Snow, John
- Tukey, John
- Tuskegee Study
- Infrastructure of Epidemiology and Public Health
- American College of Epidemiology
- American Public Health Association
- Association of Schools of Public Health
- Centers for Disease Control and Prevention
- Council of State and Territorial Epidemiologists
- European Public Health Alliance
- European Union Public Health Programs
- Food and Drug Administration
- Governmental Role in Public Health
- Healthy People 2010
- Institutional Review Board
- Journals, Epidemiological
- Journals, Public Health
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- Peer Review Process
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- Publication Bias
- Society for Epidemiologic Research
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- United Nations Children's Fund
- World Health Organization
- Medical Care and Research
- Allergen
- Apgar Score
- Barker Hypothesis
- Birth Defects
- Body Mass Index (BMI)
- Carcinogen
- Case Reports and Case Series
- Clinical Epidemiology
- Clinical Trials
- Community Health
- Community Trial
- Comorbidity
- Complementary and Alternative Medicine
- Effectiveness
- Efficacy
- Emerging Infections
- Etiology of Disease
- Evidence-Based Medicine
- Gestational Age
- Intent-to-Treat Analysis
- International Classification of Diseases
- International Classification of Functioning, Disability, and Health
- Latency and Incubation Periods
- Life Course Approach
- Malnutrition, Measurement of
- Medical Anthropology
- Organ Donation
- Pain
- Placebo Effect
- Preclinical Phase of Disease
- Preterm Birth
- Public Health Nursing
- Quarantine and Isolation
- Screening
- Vaccination
- Specific Populations
- African American Health Issues
- Aging, Epidemiology of
- American Indian Health Issues
- Asian American/Pacific Islander Health Issues
- Breastfeeding
- Child and Adolescent Health
- Epidemiology in Developing Countries
- Hormone Replacement Therapy
- Immigrant and Refugee Health Issues
- Latino Health Issues
- Maternal and Child Health Epidemiology
- Men's Health Issues
- Oral Contraceptives
- Race and Ethnicity, Measurement Issues With
- Race Bridging
- Rural Health Issues
- Sexual Minorities, Health Issues of
- Urban Health Issues
- Women's Health Issues
- Statistics and Research Methods
- F Test
- p Value
- Additive and Multiplicative Models
- Analysis of Covariance
- Analysis of Variance
- Bar Chart
- Bayes's Theorem
- Bayesian Approach to Statistics
- Bias
- Binomial Variable
- Birth Cohort Analysis
- Box-and-Whisker Plot
- Capture-Recapture Method
- Categorical Data, Analysis of
- Causal Diagrams
- Causation and Causal Inference
- Censored Data
- Central Limit Theorem
- Chi-Square Test
- Classification and Regression Tree Models
- Cluster Analysis
- Coefficient of Determination
- Cohort Effects
- Collinearity
- Community Trial
- Community-Based Participatory Research
- Confidence Interval
- Confounding
- Control Group
- Control Variable
- Convenience Sample
- Cox Model
- Critical Value
- Cumulative Incidence
- Data Management
- Data Transformations
- Decision Analysis
- Degrees of Freedom
- Dependent and Independent Variables
- Diffusion of Innovations
- Discriminant Analysis
- Dose-Response Relationship
- Doubling Time
- Dummy Coding
- Dummy Variable
- Ecological Fallacy
- Economic Evaluation
- Effect Modification and Interaction
- Factor Analysis
- Fisher's Exact Test
- Geographical and Spatial Analysis
- Graphical Presentation of Data
- Halo Effect
- Hawthorne Effect
- Hazard Rate
- Healthy Worker Effect
- Hill's Considerations for Causal Inference
- Histogram
- Hypothesis Testing
- Inferential and Descriptive Statistics
- Intent-to-Treat Analysis
- Internet Data Collection
- Interquartile Range
- Interrater Reliability
- Intervention Studies
- Interview Techniques
- Kaplan-Meier Method
- Kappa
- Kurtosis
- Latent Class Models
- Life Tables
- Likelihood Ratio
- Likert Scale
- Log-Rank Test
- Logistic Regression
- Longitudinal Research Design
- Matching
- Measurement
- Measures of Association
- Measures of Central Tendency
- Measures of Variability
- Meta-Analysis
- Missing Data Methods
- Multilevel Modeling
- Multiple Comparison Procedures
- Multivariate Analysis of Variance
- Natural Experiment
- Network Analysis
- Nonparametric Statistics
- Normal Distribution
- Null and Alternative Hypotheses
- Observational Studies
- Overmatching
- Panel Data
- Participatory Action Research
- Pearson Correlation Coefficient
- Percentiles
- Person-Time Units
- Pie Chart
- Placebo Effect
- Point Estimate
- Probability Sample
- Program Evaluation
- Propensity Score
- Proportion
- Qualitative Methods in Epidemiology
- Quasi Experiments
- Questionnaire Design
- Race Bridging
- Random Variable
- Random-Digit Dialing
- Randomization
- Rate
- Ratio
- Receiver Operating Characteristic (ROC) Curve
- Regression
- Relational Database
- Reliability
- Response Rate
- Robust Statistics
- Sample Size Calculations and Statistical Power
- Sampling Distribution
- Sampling Techniques
- Scatterplot
- Secondary Data
- Sensitivity and Specificity
- Sequential Analysis
- Simpson's Paradox
- Skewness
- Spreadsheet
- Stem-and-Leaf Plot
- Stratified Methods
- Structural Equation Modeling
- Study Design
- Survival Analysis
- Target Population
- Time Series
- Type I and Type II Errors
- Unit of Analysis
- Validity
- Volunteer Effect
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