Closer to home “…older farmers, faced with financial difficulties, hint that the only way out may be to commit suicide so that their families can receive.

Slides:



Advertisements
Similar presentations
IMPACT OF THE HEALTH CARE REFORM ON THE PUBLIC HEALTH IN TRANSFORMATION PERIOD OF EASTERN EUROPEAN COUNTRIES. MORTALITY STUDY IN KRAKOW, POLAND Krystyna.
Advertisements

Looking at Stroke Mortality, Hospitalization and Service Delivery through Maps Presenters from the Iowa Department of Public Health Terry Meek, GIS Training.
SELECTED DEMOGRAPHIC AND ECONOMIC INFORMATION FOR PIERCE COUNTY JERRY DEICHERT CENTER FOR PUBLIC AFFAIRS RESEARCH, UNO SEPTEMBER 2014.
APHA-2006: Session Choice of denominator to measure disparities in motor vehicle crash deaths of teens and young adults Christopher J. Mansfield,
Introduction to Violence Epidemiology With a focus on crime-related violence Thomas Songer, PhD University of Pittsburgh
Aging Farmers: Findings from the UC Davis Farmer Cohort Marc Schenker, Diane Mitchell, Tracey Armitage Western Center for Agricultural Health.
A FOCUS ON SENIORS SUICIDE PREVENTION. DEMOGRAPHICS.
1 The Burden of Stroke in the Great Lakes States.
Maryland Violent Death Reporting System (MVDRS): Using Data to Tell Victims’ Stories Thomas Manion, M.A. Project Coordinator, MVDRS Maryland Department.
SOUTH CAROLINA EPIDEMIOLOGIC PROFILE Data available in an Integrated Epidemiologic Profile Core Epi Section Socio-demographic characteristics of.
Global Burden of Disease, Injuries and Risk Factors Study Preliminary Result Estimates- Janet L. Leasher, OD, MPH, FAAO On behalf of the GBD Vision.
A Brief Introduction to Epidemiology - VII (Epidemiologic Research Designs: Demographic, Mortality & Morbidity Studies) Betty C. Jung, RN, MPH, CHES.
Suicide Trends Margaret Warner Manon Boudreault Lois A. Fingerhut Office of Analysis and Epidemiology APHA Washington DC 2004 National Center.
Unintentional Fall Injuries and Deaths Among MA Older Adults, Ages 65 Years and Over Carrie Huisingh, MPH, Epidemiologist Holly Hackman, MD, MPH, Epidemiologist.
Assessing Disease Frequency
Lorain County Safety Program 11/17/10 Barb Furst, MA, LICDC, CEAP, LSW Director of EAP Services Nord Center EAP.
Anita Sego Spring, 2005.
Arizona Department of Health Services and Rural Health Office Webinar Series: Issues in Rural Health Planning Community Health Assessment Overview Howard.
BIOSTATISTICS 5.5 MEASURES OF FREQUENCY BIOSTATISTICS TERMINAL OBJECTIVE: 5.5 Prepare a Food Specific Attack Rate Table IAW PEF 5.5.
Compare Outcomes Using all the above specific categories, we could compare 0-4 year-old male Asian mortality rates for asthma with 0-4 Asian female rates.
Indicators of health and disease frequency measures
Introduction to Molecular Epidemiology Jan Dorman, PhD University of Pittsburgh School of Nursing
DESCRIPTIVE EPIDEMIOLOGY for Public Health Professionals Part 3
How do cancer rates in your area compare to those in other areas?
BC Jung A Brief Introduction to Epidemiology - IV ( Overview of Vital Statistics & Demographic Methods) Betty C. Jung, RN, MPH, CHES.
Lecture 3: Measuring the Occurrence of Disease
HIV & AIDS Cases in Alameda County Presentation to the CCPC August 24, 2011 Elaine Bautista & Alex Marr.
MOLLY SCHWENN, MD CANCER REGISTRY MAINE CDC, DHHS OCTOBER 25, 2013 Population-based Cancer Surveillance: State Perspective.
Highlights from an Albany County Needs Assessment By Jeff Gibberman Dietetic Intern, The Sage Colleges.
Health Status of Australian Adults. The health status of Australians is recognised as good and is continually improving. The life expectancy for males.
Billings Area Indian Health Service WISQARS TM Centers For Disease Control & Prevention National Center for Injury Prevention and Control Intermediate.
Ruralhealth.und.edu/research Social Determinates of Health: Rural Inequalities and Health Disparities.
Mortality and Morbidity in Agriculture in the United States – Policy Implications Risto H. Rautiainen, MS, Stephen J. Reynolds, PhD, CIH Great Plains Center.
Using Historical Records to Reconstruct Early Life SES Exposures in Decedents: Preliminary Findings from a Pilot Study Kathryn Rose and J. Stephen Perhac.
Cancer Healthy Kansans 2010 Steering Committee Meeting May 12, 2005.
Trends and Disparities in Premature Mortality in North Carolina Matthew D. Curry, MA Christopher J. Mansfield, PhD Denise Kirk, MS Kevin H. Gross, PhD.
SS-32 To Be or Not To Be: The Dilemma of Suicide in America.
Epidemiology Applications Fran C. Wheeler, Ph.D School of Public Health University of South Carolina Columbia, SC (803)
S outh C arolina Rural Health Research Center Prevalence of Violent Disagreements in US Families: Residence, Race/Ethnicity, and Parental Stress Charity.
The Impact of Heart Disease and Stroke in Michigan: 2008 Report on Surveillance November 3, 2008.
Margaret Warner, PhD Li-Hui Chen, MS, PhD Office of Analysis and Epidemiology National Conference on Health Statistics Washington, DC August 2010 International.
Is for Epi Epidemiology basics for non-epidemiologists.
Nies and Nies and McEwen: Chapter 4: ATI: Chapter 3 Epidemiology.
Acute and Chronic Disability Among US Farmers and Pesticide Applicators: The National Health Interview Survey O Gómez-Marín, D Zheng, W LeBlanc, D Lee,
Age Adjustment Issues in Healthy People 2010 John Aberle-Grasse, MPH National Center for Health Statistics.
Standardization of Rates. Rates of Disease Are the basic measure of disease occurrence because they most clearly express probability or risk of disease.
U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics Occupational exposure to.
Very low CHD mortality among men aged in several states in the United States Akira Sekikawa, MD, PhD, PhD Lewis H Kuller, MD, DrPH Department of.
Rural Health Research Center S outh C arolina Greater Rurality Increases Barriers to Primary Health Care: Evidence of a Gradient in Access or Quality Janice.
Centers for Disease Control and Prevention National Center for Health Statistics Elizabeth Arias, Ph.D. Mortality Statistics Branch Division of Vital Statistics.
Women in Agriculture: Risks for Occupational Injury within the Contexts of Role and Haddon’s Injury Model Carrie A. McCoy Northern Kentucky University.
Massachusetts Deaths 2004 Massachusetts Department of Public Health Center for Health Information, Statistics, Research, and Evaluation Division of Research.
Lesson 4Page 1 of 27 Lesson 4 Sources of Routinely Collected Data for Surveillance.
The Johns Hopkins Center for Gun Policy & Research The Epidemiology of Firearm Death in the United States.
HOW ARE PRIORITY ISSUES FOR AUSTRALIA’S HEALTH IDENTIFIED? HEALTH PRIORITIES IN AUSTRALIA.
BY.DR HINA ADNAN EPIDEMIOLOGY DNT 362. Epidemiology is the study of the distribution and determinants of health-related states or events (including disease),
Health issues in childhood. Asthma asthma Asthma is a chronic inflammatory disorder of the lung's air passages that makes them narrow in response to various.
Suicide in Columbia County: A Preliminary Report April 25, 2013.
Epidemiology: The Study of Disease, Injury, and Death in the Community Chapter 3.
© 2010 Jones and Bartlett Publishers, LLC. Chapter 6 General Health and Population Indicators.
Copyright © 2008 Delmar. All rights reserved. Chapter 4 Epidemiology and Public Health Nursing.
Depressed mood and cause-specific mortality: a 40-year general community assessment 박세진.
Allegheny County Child Death Review Allegheny County Health Department Office of Epidemiology and Biostatistics Presenter: Erin Austin Faculty Advisor:
© 2010 Jones and Bartlett Publishers, LLC. Chapter 5 Descriptive Epidemiology According to Person, Place, and Time.
Residential Segregation: A Key Connector Between Race and Environmental Health Disparities Jennifer Davis, Sacoby Wilson, Muhammad Salaam, Rahnuma Hassan.
Fundamentals of Epidemiology
Sleep Patterns and Risk of Injury among Rural Minnesota Adolescents
Burden of Diabetes in Connecticut: An Overview
Burden of Diabetes in Connecticut: An Overview
Epidemiological Terms
Presentation transcript:

Closer to home “…older farmers, faced with financial difficulties, hint that the only way out may be to commit suicide so that their families can receive their life insurance benefits.” (Carrie Small, Farm Hotline Coordinator)

Farmer Suicide Deaths in Kentucky, North Carolina, and South Carolina Preliminary Results. Steven R. Browning, PhD Susan Westneat, MA Esam Al-Khasib Funding provided by the Southeast Center For Agricultural Health and Injury Prevention and NIOSH.

Purpose u Examine the descriptive epidemiology of farmer suicides in Kentucky, North Carolina, and South Carolina from using death certificate data. u Focus on three southeastern states which are the primary producers of tobacco.

Specific Aims u Conduct descriptive analysis of farmer suicide deaths as identified by E-codes (ICD 9th revision) and occupation/industry codes in Kentucky, North Carolina, and South Carolina for the period u Compare farmer suicide death rates in these states to total suicide death rates. u Evaluate temporal trends in farmer suicide death rates in these states.

Potential risk factors for farmer suicides. u Environmental factors –farm type (i.e. dairy) –season (i.e. Spring) –economic factors –lack of mental health services –weather –animal disease outbreaks –chemical exposure --> neurotoxic u Farmer factors –male gender –loss of physical abilities –chronic disease –depression, isolation, lack of support –personal finances –work load / hours –educational level

Research Methods u Electronic death certificate data from NCHS for cases for the period u Case ascertainment. –Death occurred in Kentucky, North Carolina, or South Carolina as a state of residence. –E-code of , which designates suicide and manner of death –Occupation code of 473,474,475, 477, 479 u Denominator data –US Census data for total population denominators (state specific) –Census of Agriculture for estimates of white, male farmers »1992/1997 census years (linear regression to project inter-censal years)

Analytic Methods u Descriptive analysis u Graphical presentation of rates / deaths –SigmaPlot / ArcGIS (mapping by county) u Rates analysis –Mantel-Haenszel and DerSimonian-Laird tests of rate ratios for age stratified data u Poisson regression analysis –analysis of rates for rare events using PROC GENMOD in SAS

Preliminary Results

Case distribution of farmer suicide deaths.

Distribution of farmer suicide deaths (white males) by Occupational Code.

Distribution of male, white farmer suicide deaths by state and year.

Distribution of cause of death for farmers and total white male suicides for three southern states Farmers (N=590) Total (N=15, 534)

Suicide mortality rates: all white males

Farmer and total rates by year.

Crude and adjusted rates: White males by state.

Farmer rates by state and year.

All states: farmer vs. total by age group.

Kentucky : farmers vs. total rates

Poisson regression of farmer rates.

Findings (to date) u Suicide mortality rates for white male farmers are higher than for white males in the total population. u The cause of death for the majority of these farmers is by firearm, with the use of rifles and shotguns more prevalent among farmers. u Older white male farmers (>75 years) are at increased risk of suicide in comparison to total white male population. u Rates of farmer suicides vary by state, with North Carolina having the highest rates of farmer suicide mortality. The largest burden of cases of farmer suicides among three states is in Kentucky. u Since 1990, on average, there has been a modest decline in farmer suicide mortality, although a slight increase may be present at the end of the decade.

Comparison of white male suicide mortality rates by study.

Kentucky Males Suicide Deaths from by Highest Counties.