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Related Concept Videos

Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Longitudinal Research02:20

Longitudinal Research

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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Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
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Psychodynamic Therapy

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Related Experiment Video

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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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[Temporal dimensions of suicide: hypothesis].

Eliseu Carbonell-Camós1

  • 1Universitat Oberta de Catalunya, Catalogne, Espagne.

Sante Mentale Au Quebec
|April 17, 2009
PubMed
Summary

This study explores suicide through a socio-anthropological lens, integrating natural cosmobiological rhythms and social politico-economic rhythms to understand suicide as a time-bound social phenomenon.

Area of Science:

  • Social Sciences
  • Anthropology
  • Sociology

Context:

  • Existing research on suicide often overlooks temporal dimensions.
  • Previous studies have focused on circadian physiology, psychiatric, or sociological epidemiology.
  • A socio-anthropological perspective offers a novel approach to understanding suicide.

Purpose:

  • To examine the temporal dimensions of suicide.
  • To integrate natural (cosmobiological) and social (politico-economic) temporal influences on suicide.
  • To propose a new hypothesis for understanding suicide as a social phenomenon inscribed in time.

Summary:

  • This article adopts a socio-anthropological perspective to analyze suicide as a social phenomenon deeply connected to time.
  • It explores the relationship between societal change, natural rhythms (cosmobiological), and social rhythms (politico-economic) in relation to suicide.

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  • The study proposes an integrated hypothesis, drawing on Durkheim's work and Gabennesch's theory of "failed promises."
  • Impact:

    • Provides a novel framework for understanding the temporal aspects of suicide.
    • Encourages interdisciplinary research integrating natural and social sciences to study suicide.
    • Offers new insights into the complex interplay of time, society, and suicidal behavior.