Analyzing Factors Intersecting with Sex and Gender

It is important to analyze sex and gender (see Analyzing Sex; Analyzing Gender), but examining how other factors intersect with sex and gender is also necessary (Hankivsky et al., 2008). These factors or variables can be biological, socio-cultural, or psychological aspects of users, customers, experimental subjects, or cells. These factors include but are not limited to:

  • Genetics
    Sex Hormones
    Reproductive Status
    Body Composition
    Body Size
    Geographic Location
    Socioeconomic Status
    Educational Background
    Sexual Orientation
    Family Configuration

Researchers can investigate how sex and/or gender intersect with other significant factors by:

  • 1. Identifying relevant factors or variables. Before beginning a study, researchers should hypothesize relevant factors. Sex and gender intersect with other biological and social variables to produce between- or within-group differences (Whittle et al., 2001). Those factors may reveal sub-group differences among women and among men that would have been obscured by using only gender or sex as a variable (see Case Study: Nutrigenomics). Accounting for differences in socioeconomic status, for example, may reveal unexpected differences between women and men that cannot be explained by gender or socioeconomic status alone, such as women of high socioeconomic status having similar health outcomes similar to those of men of low socioeconomic status (Sen et al., 2010).

  • 2. Defining factors or variables. Researchers need to define factors explicitly in order to be able to account for potential users (see Case Study: Public Transportation), explain health disparities, reduce publication bias, and conduct reliable meta-analyses (Schulz et al., 2006; Rommes et al., 2000).

  • 3. Identifying intersections between factors or variables. Understanding how factors interrelate with sex or gender is important in explaining or predicting differences in health outcomes and determining user needs (Weber et al., 2007; Faulkner, 2004). For example, sex, socioeconomics, gendered divisions of labor, and language have all been found to interact in determining how agricultural workers are exposed to endocrine disruptors (see Case Study: Environmental Chemicals), and sex, geography, and gender relations interact to determine the technological needs of women and men (see Case Study: HIV Microbicides).

Works Cited

Faulkner, W. (2004). Strategies of Inclusion: Gender and the Information Society (SIGIS) Report. Edinburgh: University of Edinburgh Press.

Hankivsky, O., & Christoffersen, A. (2008). Intersectionality and the Determinants of Health: A Canadian Perspective. Critical Public Health, 18 (3), 271-283.

Rommes, E., van Slooten, I., van Oost, E., & Oudshoon, N. (Eds.) (2004). Designing Inclusion: The Development of ICT Products to Include Women in Information Society. Enschede: University of Twente.

Schulz, A., & Mullings, L. (Eds.) (2006). Gender, Race, Class & Health: Intersectional Approaches. San Francisco: Jossey-Bass.

Sen, G. , Lyer, A., & Mukherjee, C. (2010). A Methodology to Analyze the Intersections of Social Inequalities in Health. Journal of Human Development and Capabilities, 10 (3), 397-415.

Weber, L., & Fore M. (2007). Race, Ethnicity and Health: An Intersectional Approach. In Hernan, V., & Feagin, J. (Eds.), Handbooks of Sociology and Racial and Ethnic Relations, pp. 191-219. New York: Springer Press.

Whittle, K., & Inhorn, M. (2001). Rethinking Difference: A Feminist Reframing of Gender/Race/Class for the Improvement of Women's Health Research. International Journal of Health Services, 31 (1), 147-165.



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