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Related Concept Videos

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
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A Ten-year Study of Suicides from a Rural/Suburban County.

Jennifer C Bready1, Robert J Bready2, Dennis J Chute2

  • 1Mount Saint Mary College, 330 Powell Avenue, Newburgh, NY, 12550.

Journal of Forensic Sciences
|May 31, 2017
PubMed
Summary

This 10-year study of Dutchess County suicide data reveals gender and age differences in methods. Men and older individuals favored firearms, while women and younger individuals opted for overdose, differing from national trends.

Keywords:
forensic sciencemanner of deathsuicidesuicide methodssuicide notesuicide trends

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Area of Science:

  • Forensic Science
  • Public Health
  • Epidemiology

Background:

  • Suicide remains a significant public health concern.
  • Understanding demographic trends in suicide methods is crucial for targeted prevention.
  • Local data analysis provides specific insights into regional patterns.

Purpose of the Study:

  • To analyze suicide data trends over a decade (2004-2013) in Dutchess County, NY.
  • To examine demographic variations (gender, age, race) in suicide methods and weapon use.
  • To compare local suicide trends with national statistics.

Main Methods:

  • Analysis of approximately 300 suicide cases.
  • Data compiled based on National Association of Medical Examiners and Department of Justice standards.
  • Categorization of cases by deceased's gender, age, race, method, and weapon used.

Main Results:

  • Significant gender differences observed in suicide methods: men favored firearms, women favored overdose.
  • Age-related differences noted: older individuals more likely to use firearms, younger individuals more likely to use overdose.
  • Certain methods identified in this study differed from national suicide statistics.

Conclusions:

  • Demographic factors significantly influence suicide methods in Dutchess County.
  • Local suicide trends present unique characteristics compared to national data.
  • Findings can inform localized suicide prevention strategies and resource allocation.