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Related Concept Videos

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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Stress and Mental Health

Chronic stress profoundly affects mental health, significantly influencing mood, behavior, and overall quality of life. Research closely links chronic stress with mental health conditions such as depression, anxiety, and substance use disorders. Ongoing exposure to stress can lead to physiological and psychological changes, initiating a cycle of emotional distress and maladaptive coping mechanisms.
Individuals with depression often experience challenges in both their personal and professional...
Bullying02:04

Bullying

A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is bullying.
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Cognitive Dissonance01:38

Cognitive Dissonance

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Social Defeat Stress Model for Adolescent C57BL/6 Male and Female Mice
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Does problem behaviour affect attrition from a cohort study on adolescent mental health?

Sari A Fröjd1, Riittakerttu Kaltiala-Heino, Mauri J Marttunen

  • 1Tampere School of Public Health, University of Tampere, Tampere, Finland. sari.frojd@uta.fi

European Journal of Public Health
|June 24, 2010
PubMed
Summary

Adolescent depression and poor school performance predict attrition in mental health surveys. Tailoring survey methods to adolescents is crucial for accurate representation in psychiatric epidemiology.

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Area of Science:

  • Psychiatric Epidemiology
  • Adolescent Mental Health Research
  • Survey Methodology

Background:

  • Survey non-response is a significant challenge, particularly in psychiatric epidemiology.
  • Attrition in child and adolescent populations is understudied.
  • This study investigates factors associated with attrition in an adolescent mental health cohort.

Purpose of the Study:

  • To estimate the association between depression and anti-social behavior with attrition in an adolescent cohort study.
  • To identify predictors of non-response in adolescent mental health surveys.
  • To inform the design of more effective adolescent surveys.

Main Methods:

  • Prospective follow-up of the Adolescent Mental Health Cohort Study (AMHC) in Finland.
  • Analysis of baseline data from 3278 adolescents for a 2-year follow-up.
  • Logistic regression models to assess the impact of depression and anti-social behavior on attrition, considering different data collection methods.

Main Results:

  • Depression at baseline significantly increased the likelihood of attrition.
  • School performance emerged as a stronger predictor of attrition than problem behaviors.
  • Attrition rates differed significantly based on data collection methods (school-based vs. postal surveys).

Conclusions:

  • Internalizing problem behaviors, like depression, may be underrepresented in adolescent mental health surveys.
  • School performance is a key factor influencing adolescent survey attrition.
  • Survey design and data collection methods require careful consideration for adolescent populations.