Related Experiment Videos

Work-related violence from a gender perspective: a cross-sectional study with temporal trend analysis, Bahia, Brazil,

Adriana Galdino1, Anívia de Souza Amaral1, Érika Maria Andrade Silva1

  • 1Universidade Estadual do Sudoeste da Bahia, Campus de Jequié, Jequié, BA, Brazil Universidade Estadual do Sudoeste da Bahia Universidade Estadual do Sudoeste da Bahia Campus de Jequié JequiéBA Brazil.

Abstract

Related Concept Videos

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...
Socioemotional Experience and Gender Development01:30

Socioemotional Experience and Gender Development

Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
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:
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Parental Influences on Gender Typing01:29

Parental Influences on Gender Typing

Parents shape children’s understanding of gender through “gender-typing,” the process of learning culturally appropriate behaviors, interests, and roles for boys and girls.Reinforcement of Gender NormsFrom infancy, parents may communicate gender expectations through speech, play, praise, and behavior. Fathers may praise boys for bravery or assertiveness while responding more sensitively to girls. Gendered descriptions in books, divisions of household labor, and parental hobbies can also...
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...