scholarly journals A scoping review on disparities in exposure to advertising for e-cigarettes and heated tobacco products and implications for advancing a health equity research agenda

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Graziele Grilo ◽  
Elizabeth Crespi ◽  
Joanna E. Cohen
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Health Equity ◽  
Scoping Review ◽  
Cochrane Library ◽  
Cigarette Advertising ◽  
Urban Rural ◽  
Race Ethnicity ◽  
Advertising And Promotion ◽  
Neighborhood Level

Abstract Background Disparities in exposure to and density of tobacco advertising are well established; however, it is still unclear how e-cigarette and heated tobacco product (HTP) advertising vary by age, education, sex, gender identity, race/ethnicity, sexual orientation, socioeconomic status (SES), and/or urban/rural area. Through a scoping review, we sought to identify potential disparities in exposure to e-cigarette and HTP advertising and promotion across populations. Methods In January 2020, a systematic literature search was conducted in five databases: PubMed, Scopus, Embase, Web of Science, and the Cochrane Library. The search was updated in October 2020. Articles reporting on exposure to e-cigarette and/or HTP advertising and promotion across age, education, sex, gender identity, race/ethnicity, sexual orientation, SES, and/or urban/rural areas were included for full-text review (n = 25). Of those, 15 were deemed relevant for data extraction. Results The majority of the studies were from the U.S. (n = 12) and cross-sectional (n = 14). Studies were published between 2014 and 2020 and focused on determining causal relationships that underlie disparities; only one study assessed HTP advertising and promotion. Exposure to e-cigarette and HTP advertising was assessed at the individual-level (e.g., recall seeing ads on television) and at the neighborhood-level (e.g., ad density at the point-of-sale). Studies addressed differences across age (n = 6), education (n = 2), sex (n = 6), gender identity and sexual orientation (n = 3), race/ethnicity (n = 11), SES (n = 5), and urban/rural (n = 2). The following populations were more likely to be exposed to e-cigarette advertising: youth, those with more than a high school diploma, males, sexual and gender minorities, Whites, and urban residents. At the neighborhood-level, e-cigarette advertisements were more prevalent in non-White neighborhoods. Conclusions Exposure to e-cigarette/HTP advertising varies based on sociodemographic characteristics, although the literature is limited especially regarding HTPs. Higher exposure among youth might increase tobacco-related disparities since it can lead to nicotine/tobacco use. Research should incorporate and apply a health equity lens from its inception to obtain data to inform the elimination of those disparities.

scholarly journals The target/perpetrator brief-implicit association test (B-IAT): an implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maddalena Marini ◽  
Pamela D. Waterman ◽  
Emry Breedlove ◽  
Jarvis T. Chen ◽  
Christian Testa ◽  
...  
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Implicit Association Test ◽  
Mental Representations ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Race Ethnicity ◽  
Implicit And Explicit ◽  
Explicit Measures

Abstract Background To date, research assessing discrimination has employed primarily explicit measures (i.e., self-reports), which can be subject to intentional and social desirability processes. Only a few studies, focusing on sex and race/ethnicity discrimination, have relied on implicit measures (i.e., Implicit Association Test, IAT), which permit assessing mental representations that are outside of conscious control. This study aims to advance measurement of discrimination by extending the application of implicit measures to multiple types of discrimination and optimizing the time required for the administration of these instruments. Methods Between September 27th 2019 and February 9th 2020, we conducted six experiments (984 participants) to assess implicit and explicit discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age. Implicit discrimination was measured by using the Brief-Implicit Association Test (B-IAT), a new validated version of the IAT developed to shorten the time needed (from ≈15 to ≈2 min) to assess implicit mental representations, while explicit discrimination was assessed using self-reported items. Results Among participants (mean age = 37.8), 68.6% were White Non-Hispanic; 69% were females; 76.1% were heterosexual; 90.7% were gender conforming; 52.8% were medium weight; and 41.5% had an advanced level of education. Overall, we found implicit and explicit recognition of discrimination towards all the target groups (stronger for members of the target than dominant groups). Some exceptions emerged in experiments investigating race/ethnicity and weight discrimination. In the racism experiment, only people of Color showed an implicit recognition of discrimination towards the target group, while White people were neutral. In the fatphobia experiment, participants who were not heavy showed a slight implicit recognition of discrimination towards the dominant group, while heavy participants were neutral. Conclusions This study provides evidence that the B-IAT is a valuable tool for quickly assessing multiple types of implicit discrimination. It shows also that implicit and explicit measures can display diverging results, thus indicating that research would benefit from the use of both these instruments. These results have important implications for the assessment of discrimination in health research as well as in social and psychological science.

Testing Mark-all-that-apply Measures of Sexual Orientation and Gender Identity

Field Methods ◽  
2018 ◽  
Vol 30 (4) ◽  
pp. 357-370 ◽  
Author(s):  
Philip S. Brenner ◽  
Justine Bulgar-Medina
Keyword(s):  
Sexual Orientation ◽  
Best Practices ◽  
Gender Identity ◽  
Data Quality ◽  
Forced Choice ◽  
Social Identities ◽  
Factorial Survey ◽  
Survey Experiment ◽  
Race Ethnicity ◽  
And Gender

Many social identities (e.g., race, ethnicity) are measured using mark-all-that-apply (MATA) questions because they allow survey respondents to account for the multiple, nonexclusive ways in which they identify themselves. We test the use of MATA measures of sexual orientation and gender identity and compare them with forced choice (FC), an alternative format using a series of yes-or-no questions. Respondents, including an oversample of lesbian, gay, bisexual, and queer (LGBQ) individuals, participated in a 2 × 3 factorial survey experiment. For the first factor, we hypothesize that respondents randomly assigned to FC will report a higher count of identities than those assigned to MATA. For the second factor, we hypothesize that increased topic salience will help LGBQ respondents in particular to overcome poor question design. Findings suggest that MATA and FC measure comparably when question writing best practices are followed, but topic salience can yield higher data quality when poorly formatted questions are used.

Health Equity in Artificial Intelligence and Primary Care Research: Protocol for a Scoping Review (Preprint)

2021 ◽  
Author(s):  
Jonathan Xin Wang ◽  
Sulaiman Somani ◽  
Jonathan H Chen ◽  
Sara Murray ◽  
Urmimala Sarkar
Keyword(s):  
Artificial Intelligence ◽  
Primary Care ◽  
Health Equity ◽  
Scoping Review ◽  
Underserved Populations ◽  
Care Delivery ◽  
Data Extraction ◽  
Cochrane Library ◽  
Preventative Care ◽  
The Impact

BACKGROUND Though artificial intelligence (AI) has potential to augment the patient-physician relationship in primary care, bias in intelligent healthcare systems has the potential to differentially impact vulnerable patient populations. OBJECTIVE The purpose of this scoping review is to summarize the extent to which AI systems in primary care examine the inherent bias towards or against vulnerable populations and appraise how these systems have mitigated the impact of such biases during their development. METHODS We will conduct a search update from an existing scoping review to identify AI and primary care articles in the following databases: Medline-OVID,Embase,CINAHL, Cochrane Library, Web of Science, Scopus, IEEE Xplore, ACM Digital Library, MathSciNet, AAAI, and arXiv. Two screeners will independently review all abstracts, titles and full-texts. The team will extract data using structured data extraction form and synthesize the results according to PRISMA-Scr guidelines. RESULTS This review will provide an assessment of the current state of healthcare equity within AI for primary care. Specifically, we will identify the degree to which vulnerable patients have been included, assess how bias is interpreted and documented, and understand the extent harmful biases are addressed. As of October 2020, the scoping review is in the title and abstract screening stage. The results are expected to be submitted for publication in fall of 2021. CONCLUSIONS AI applications in primary care are becoming an increasingly common tool in health care delivery, including in preventative care efforts for underserved populations. This scoping review aims to understand to what extent AI-primary care studies employ a health equity lens and take steps to mitigate bias.

scholarly journals Teaching Intersectionality of Sexual Orientation, Gender Identity, and Race/Ethnicity in a Health Disparities Course

MedEdPORTAL ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 10970 ◽  
Author(s):  
Stephanie Bi ◽  
Monica B. Vela ◽  
Aviva G. Nathan ◽  
Kathryn E. Gunter ◽  
Scott C. Cook ◽  
...  
Keyword(s):  
Health Disparities ◽  
Sexual Orientation ◽  
Gender Identity ◽  
Race Ethnicity

scholarly journals Life under COVID-19 for LGBT+ people in the UK: systematic review of UK research on the impact of COVID-19 on sexual and gender minority populations

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e050092
Author(s):  
Victoria J McGowan ◽  
Hayley J Lowther ◽  
Catherine Meads
Keyword(s):  
Mental Health ◽  
Sexual Orientation ◽  
Gender Identity ◽  
Well Being ◽  
Cochrane Library ◽  
Gender Minority ◽  
Sexual And Gender Minority ◽  
And Gender ◽  
The Impact ◽  
Health And Well Being

ObjectiveTo systematically review all published and unpublished evidence on the impact of the COVID-19 pandemic on the health and well-being of UK sexual and gender minority (LGBT+; lesbian, gay, bisexual, transgender, non-binary, intersex and queer) people.MethodsAny relevant studies with or without comparator were included, with outcomes of: COVID-19 incidence, hospitalisation rates, illness severity, death rates, other health and well-being. Six databases (platforms) were searched—CINAHL Plus (Ovid), Cochrane Central (Cochrane Library), Medline (Ovid), Embase (Ovid), Science Citation Index (Web of Science) and Scopus between 2019 and 2020 in December 2020, using synonyms for sexual and gender minorities and COVID-19 search terms. Data extraction and quality assessment (using the relevant Joanna Briggs checklist) were in duplicate with differences resolved through discussion. Results were tabulated and synthesis was through narrative description.ResultsNo published research was found on any outcomes. Eleven grey literature reports found to be of low quality were included, mostly conducted by small LGBT+ charities. Only four had heterosexual/cisgender comparators. Mental health and well-being, health behaviours, safety, social connectedness and access to routine healthcare all showed poorer or worse outcomes than comparators.ConclusionsLack of research gives significant concern, given pre-existing health inequities. Social and structural factors may have contributed to poorer outcomes (mental health, well-being and access to healthcare). Paucity of evidence is driven by lack of routinely collected sexual orientation and gender identity data, possibly resulting from institutional homophobia/transphobia which needs to be addressed. Men are more at risk of serious illness from COVID-19 than women, so using data from trans women and men might have started to answer questions around whether higher rates were due to sex hormone or chromosomal effects. Routine data collection on sexual orientation and gender identity is required to examine the extent to which COVID-19 is widening pre-existing health inequalities.PROSPERO registration numberCRD42020224304.

scholarly journals Collection of Data on Sex, Sexual Orientation, and Gender Identity by U.S. Public Health Data and Monitoring Systems, 2015–2018

2021 ◽  
Vol 18 (22) ◽  
pp. 12189
Author(s):  
Alissa C. Kress ◽  
Asia Asberry ◽  
Julio Dicent Taillepierre ◽  
Michelle M. Johns ◽  
Pattie Tucker ◽  
...  
Keyword(s):  
Public Health ◽  
Sexual Orientation ◽  
Data Collection ◽  
Gender Identity ◽  
Health Data ◽  
Monitoring Systems ◽  
Data Systems ◽  
Public Health Data ◽  
Race Ethnicity ◽  
And Gender

We aimed to assess Centers for Disease Control and Prevention (CDC) data systems on the extent of data collection on sex, sexual orientation, and gender identity as well as on age and race/ethnicity. Between March and September 2019, we searched 11 federal websites to identify CDC-supported or -led U.S. data systems active between 2015 and 2018. We searched the systems’ website, documentation, and publications for evidence of data collection on sex, sexual orientation, gender identity, age, and race/ethnicity. We categorized each system by type (disease notification, periodic prevalence survey, registry/vital record, or multiple sources). We provide descriptive statistics of characteristics of the identified systems. Most (94.1%) systems we assessed collected data on sex. All systems collected data on age, and approximately 80% collected data on race/ethnicity. Only 17.7% collected data on sexual orientation and 5.9% on gender identity. Periodic prevalence surveys were the most common system type for collecting all the variables we assessed. While most U.S. public health data and monitoring systems collect data disaggregated by sex, age, and race/ethnicity, far fewer do so for sexual orientation or gender identity. Standards and examples exist to aid efforts to collect and report these vitally important data. Additionally important is increasing accessibility and appropriately tailored dissemination of reports of these data to public health professionals and other collaborators.

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