An investigation of quantitative methods for assessing intersectionality in health research: A systematic review

Guan, Alice; Thomas, Marilyn; Vittinghoff, Eric; Bowleg, Lisa; Mangurian, Christina; Wesson, Paul S.

doi:10.1016/j.ssmph.2021.100977

Cited by 56 publications

(61 citation statements)

References 126 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, it is likely there is underrepresentation of certain groups not apparent in this review (e.g., transgender Black men). Thus, we again refer readers to recent scholarship on quantitative intersectional methods (Bauer et al, 2021; Burke et al, 2020; Guan et al, 2021). Fourth, we did not include weight status as a variable in this review; however, given very few studies included individuals with higher‐weight AN and many BED trials included weight loss components or outcomes, it seems evaluating weight status reporting and representation is an important future direction.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, any within‐ or between‐group analyses should be planned thoughtfully and the literature consulted during the design phase. Finally, to assess intersectionality, we refer readers to recent publications by scholars in the field (Bauer et al, 2021; Burke et al, 2020; Guan et al, 2021); in particular, Guan et al (2021) provide an overview of various analytic methods to assess intersectionality, including strengths, limitations, and uses, which should be incorporated into a priori power planning.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A systematic review of sociodemographic reporting and representation in eating disorder psychotherapy treatment trials in the United States

Burnette

Luzier

Weisenmuller

et al. 2022

Intl J Eating Disorders

View full text Add to dashboard Cite

Objective: Eating disorders (EDs) were once conceptualized as primarily affecting affluent, White women, a misconception that informed research and practice for many years. Abundant evidence now discredits this stereotype, but it is unclear if prevailing "evidence-based" treatments have been evaluated in samples representative of the diversity of individuals affected by EDs. Our goal was to evaluate the reporting, inclusion, and analysis of sociodemographic variables in ED psychotherapeutic treatment randomized controlled trials (RCTs) in the US through 2020.Methods: We conducted a systematic review of ED psychotherapeutic treatment RCTs in the US and examined the reporting and inclusion of gender identity, age, race/ethnicity, sexual orientation, and socioeconomic status (SES) of enrolled participants, as well as recruitment methods, power analyses, and discussion of limitations and generalizability.Results: Our search yielded 58 studies meeting inclusion criteria dating back to 1985.Reporting was at times incomplete, absent, or centered on the racial/gender majority group. No studies reported gender diverse participants, and men and people of color were underrepresented generally, with differences noted across diagnoses. A minority of papers considered sociodemographic variables in analyses or acknowledged limitations related to sample characteristics. Some progress was made across the decades, with studies increasingly providing full racial and ethnic data, and more men included over time. Although racial and ethnic diversity improved somewhat, progress appeared to stall in the last decade.Discussion: We summarize findings, consider context and challenges for RCT researchers, and offer suggestions for researchers, journal editors, and reviewers on improving representation, reporting, and analytic practices.Public Significance: Randomized controlled trials of eating disorder psychotherapeutic treatment in the US are increasingly reporting full race/ethnicity data, but information on SES is inconsistent and sexual orientation absent. White women still

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A systematic review of sociodemographic reporting and representation in eating disorder psychotherapy treatment trials in the United States

Burnette

Luzier

Weisenmuller

et al. 2022

Intl J Eating Disorders

View full text Add to dashboard Cite

show abstract

“…health professionals report preferring day shifts (Stimpfel et al, 2019) and are less likely to work overtime (Anxo & Karlsson, 2019). Quantitative investigations of intersectional identities are under-explored and not uniformly approached (Guan et al, 2021). Nevertheless, intersectionality has been linked with economic insecurity and perceived job insecurity where individuals with multiple marginalized identities experience hierarchies of disadvantage (Lavaysse et al, 2018;Maroto et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Health occupations salary outcomes: intersections of student race, gender, and first-generation status

Gesing

Pant

Burbage

2022

Adv in Health Sci Educ

View full text Add to dashboard Cite

Greater diversity in the healthcare workforce has been identified as a critical need in serving an increasingly diverse population. Higher education institutions have been tasked with increasing the number of underrepresented students in the health occupations pipeline to better align with the demographics of the general population and meet the need for a diverse health occupations workforce. This study used the National Science Foundation’s National Survey of College Graduates dataset to capture data across time, examining the intersectionality of race, gender, and first-generation status on the salary outcomes of students who earn degrees related to health occupations. Results indicate that the intersecting identities of students who earn a bachelor’s degree or higher in the health professions impact salary outcomes. Results of this study have implications for higher education policies that can impact increased diversity in the health occupations workforce pipeline.

show abstract

“…In path analysis and structural equation modeling [87], the influence of the moderating variable is assessed on a hypothesized mediated relationship between the main exposure and a health outcome of interest (potentially important mediating intersection). The test evaluates whether the indirect effect of a mediation analysis is modified by different levels of another variable.…”

Section: Structural Analyses and Variance Decomposition Approachesmentioning

confidence: 99%

How Can Quantitative Analysis Be Used to Improve Occupational Health without Reinforcing Social Inequalities? An Examination of Statistical Methods

Lederer

Messing

Sultan-Taïeb

2022

IJERPH

View full text Add to dashboard Cite

Taking account of sex and gender in occupational health studies poses statistical challenges. Other sociodemographic variables, such as racialization, class, and age, also affect the relations between workplace exposures and health and interact with sex and gender. Our objective was to perform a critical review of conventional and emerging statistical tools, examining whether each analysis takes account of sociodemographic variables (1) in a way that contributes to identification of critical occupational determinants of health (2) while taking account of relevant population characteristics to reflect intersectional approaches to health and (3) using sample sizes and population characteristics available to researchers. A two-step search was conducted: (1) a scientific watch concerning the statistical tools most commonly used in occupational health over the past 20 years; (2) a screening of the 1980–2022 literature with a focus on emerging tools. Our examination shows that regressions with adjustment for confounders and stratification fail to reveal the sociodemographic mechanisms that interact with occupational health problems, endangering the identification of occupational risks. Multilevel (notably MAIHDA) analyses, decision tree, cluster, and latent analyses are useful methods to consider when seeking to orientate prevention. Researchers should consider methods that adequately reveal the mechanisms connecting sociodemographic variables and occupational health outcomes.

show abstract

An investigation of quantitative methods for assessing intersectionality in health research: A systematic review

Cited by 56 publications

References 126 publications

A systematic review of sociodemographic reporting and representation in eating disorder psychotherapy treatment trials in the United States

A systematic review of sociodemographic reporting and representation in eating disorder psychotherapy treatment trials in the United States

Health occupations salary outcomes: intersections of student race, gender, and first-generation status

How Can Quantitative Analysis Be Used to Improve Occupational Health without Reinforcing Social Inequalities? An Examination of Statistical Methods

Contact Info

Product

Resources

About