Associations of sexual orientation and state-level antidiscrimination policy protections with alcohol, tobacco, and mental health outcomes in a U.S. sample of adolescents and adults.

Introduction: Structural stigma has important health implications for sexual minority individuals, including alcohol and tobacco use, and mental health. This study examined associations of structural stigma with alcohol and tobacco use and internalizing symptoms while considering sexual identity changes and multiple dimensions of sexual orientation among adolescents and adults in the U.S.

Streptococcal pneumonia meningitis as an initial presentation of X-linked agammaglobulinemia: A case report and discussion.

X-linked agammaglobulinemia (XLA) is a primary immunodeficiency caused by mutations in the gene for Bruton's tyrosine kinase , with affected males most commonly presenting with recurrent bacterial infections during the first few years of life. Here we present a 17-month-old male with a chief complaint of worsening rash and fever, whose history of streptococcal pneumonia meningitis at 5 months of age prompted suspicion for an underlying immunodeficiency and subsequent diagnosis of XLA. Bacterial meningitis is a rare initial presentation of XLA, and therefore physicians may easily overlook any underlying immunodeficiency.

At the dinner table with Adam and Eve.

Parents of children with atopic dermatitis often believe that dietary factors influence the course of a child's eczema. This is not a new phenomenon. In this paper, we examine two old documents that explore the relationships between diet and health.

Discrimination in the United States: Experiences of Latinos.

Objective: To examine experiences of racial/ethnic discrimination among Latinos in the United States, which broadly contribute to their poor health outcomes.

Data Source And Study Design: Data come from a nationally representative, probability-based telephone survey including 803 Latinos and a comparison group of 902 non-Hispanic white US adults, conducted January-April 2017.

Methods: We calculated the percent of Latinos reporting discrimination in several domains, including health care.

Discrimination in the United States: Experiences of black Americans.

Objective: To examine experiences of racial discrimination among black adults in the United States, which broadly contribute to their poor health outcomes.

Data Source And Study Design: Data come from a nationally representative, probability-based telephone survey including 802 non-Hispanic black and a comparison group of 902 non-Hispanic white US adults, conducted January-April 2017.

Methods: We calculated the percent of blacks reporting discrimination in several domains, including health care.

Gender discrimination in the United States: Experiences of women.

Objective: To examine reported experiences of gender discrimination and harassment among US women.

Data Source And Study Design: Data come from a nationally representative, probability-based telephone survey of 1596 women, conducted January-April 2017.

Methods: We calculated the percentages of women reporting gender discrimination and harassment in several domains, including health care.

Discrimination in the United States: Experiences of lesbian, gay, bisexual, transgender, and queer Americans.

Objective: To examine reported experiences of discrimination against lesbian, gay, bisexual, transgender, and queer (LGBTQ) adults in the United States, which broadly contribute to poor health outcomes.

Data Source And Study Design: Data came from a national, probability-based telephone survey of US adults, including 489 LGBTQ adults (282 non-Hispanic whites and 201 racial/ethnic minorities), conducted January-April 2017.

Methods: We calculated the percentages of LGBTQ adults reporting experiences of discrimination in health care and several other domains related to their sexual orientation and, for transgender adults, gender identity.

Discrimination in the United States: Experiences of Asian Americans.

Objective: To examine experiences of racial discrimination among Asian Americans, which broadly contribute to poor health outcomes.

Data Source And Study Design: Data come from a nationally representative, probability-based telephone survey, including 500 Asian and a comparison group of 902 white US adults, conducted January to April 2017.

Methods: We calculated the percent of Asian Americans reporting discrimination in several domains, including health care.

Discrimination in the United States: Experiences of Native Americans.

Objective: To examine reported racial discrimination and harassment against Native Americans, which broadly contribute to poor health outcomes.

Data Source And Study Design: Data come from a nationally representative, probability-based telephone survey including 342 Native American and 902 white US adults, conducted January-April 2017.

Methods: We calculated the percent of Native Americans reporting discrimination in several domains, including health care.

Methodology of the Discrimination in the United States survey.

Objective: To describe survey methods used to examine reported experiences of discrimination against African Americans, Latinos, Asian Americans, Native Americans, women, and LGBTQ (lesbian, gay, bisexual, transgender, and queer) adults.

Data Source And Study Design: Data came from a nationally representative, probability-based telephone survey of 3453 US adults, conducted January-April 2017.

Methods: We examined the survey instrument, sampling design, and weighting of the survey, and present selected survey findings.

Discrimination in the United States: Perspectives for the future.

Objective: To summarize findings from this Special Issue, which examine reported experiences of discrimination among six underrepresented groups in public opinion research-blacks, Latinos, Native Americans, Asian Americans, lesbian, gay, bisexual, transgender, or queer (LGBTQ) adults, and women.

Data Source And Study Design: Data come from a nationally representative, probability-based telephone survey of 3453 US adults, conducted January-April 2017.

Methods: We calculated the percent of adults reporting discrimination in several domains, including health care.