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Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the recognition that people have...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:
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...
Stimulants01:29

Stimulants

Stimulants are substances that enhance neural activity and elevate dopamine levels in the brain, leading to their highly addictive nature. These drugs include cocaine, amphetamines, MDMA, caffeine, and nicotine, each with distinct mechanisms of action and varied health implications.
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

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Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
06:39

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Published on: August 28, 2017

Area-level variation in adolescent smoking.

Debra H Bernat1, Deann Lazovich, Jean L Forster

  • 1School of Nursing, University of Minnesota, Minneapolis, MN 55455, USA. dbernat@umn.edu

Preventing Chronic Disease
|March 18, 2009
PubMed
Summary
This summary is machine-generated.

Adolescent smoking rates vary significantly across Minnesota communities. Lower income, less education, and rural settings were linked to higher teen smoking, especially among girls.

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Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
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Area of Science:

  • Public Health
  • Epidemiology
  • Sociology

Background:

  • Adolescent smoking remains a significant public health concern.
  • Geographic variations in smoking prevalence are not well understood.

Purpose of the Study:

  • Examine geographic variability in adolescent smoking prevalence in Minnesota.
  • Assess associations between area-level smoking rates and sociodemographic factors.

Main Methods:

  • Analyzed smoking data from 3,636 adolescents across 60 Minnesota areas.
  • Utilized 2000 US Census data for area-level sociodemographic characteristics.
  • Calculated coefficient of variation and compared mean smoking prevalence across sociodemographic medians.

Main Results:

  • Significant variation in adolescent smoking prevalence was observed (lifetime: 13%-53%; past 30 days: 3%-19%).
  • Higher smoking prevalence associated with lower education, less urban areas, lower income, and higher unemployment.
  • Area characteristics linked to smoking in girls, but not significantly in boys.

Conclusions:

  • Area-level sociodemographic factors are important correlates of adolescent smoking.
  • Findings highlight potential targets for community-based interventions, particularly for girls.