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<journal-meta>
<journal-id journal-id-type="publisher-id">exposome</journal-id>
<journal-title-group>
<journal-title>Exposome</journal-title></journal-title-group>
<issn pub-type="epub">2635-2265</issn>
<publisher><publisher-name>Oxford University Press</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1093/exposome/osad003</article-id>
<article-id pub-id-type="publisher-id">osad003</article-id>
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<subj-group subj-group-type="category-toc-heading">
<subject>Review</subject>
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<subject>AcademicSubjects/MED00280</subject>
<subject>AcademicSubjects/MED00160</subject>
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<title-group>
<article-title>Exposomics as a tool to investigate differences in health and disease by sex and gender</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7613-3836</contrib-id>
<name><surname>Bucher</surname><given-names>Meghan L</given-names></name><degrees>PhD</degrees><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Conceptualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization" degree-contribution="equal">Conceptualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Funding acquisition" vocab-term-identifier="http://credit.niso.org/contributor-roles/funding-acquisition" degree-contribution="supporting">Funding acquisition</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Visualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/visualization" degree-contribution="equal">Visualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - original draft" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-original-draft" degree-contribution="lead">Writing - original draft</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - review &amp; editing" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing" degree-contribution="lead">Writing - review &amp; editing</role><aff><institution>Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University</institution>, New York, NY, <country country="US">USA</country></aff><xref ref-type="corresp" rid="osad003-cor1"/>
<email xlink:type="simple">mb4729@cumc.columbia.edu</email>
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<contrib contrib-type="author">
<name><surname>Anderson</surname><given-names>Faith L</given-names></name><degrees>PhD</degrees><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Conceptualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization" degree-contribution="equal">Conceptualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Funding acquisition" vocab-term-identifier="http://credit.niso.org/contributor-roles/funding-acquisition" degree-contribution="supporting">Funding acquisition</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - original draft" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-original-draft" degree-contribution="equal">Writing - original draft</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - review &amp; editing" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing" degree-contribution="supporting">Writing - review &amp; editing</role><aff><institution>Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University</institution>, New York, NY, <country country="US">USA</country></aff>
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<contrib contrib-type="author">
<name><surname>Lai</surname><given-names>Yunjia</given-names></name><degrees>PhD</degrees><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Conceptualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization" degree-contribution="equal">Conceptualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Visualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/visualization" degree-contribution="supporting">Visualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - original draft" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-original-draft" degree-contribution="equal">Writing - original draft</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - review &amp; editing" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing" degree-contribution="supporting">Writing - review &amp; editing</role><aff><institution>Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University</institution>, New York, NY, <country country="US">USA</country></aff>
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<name><surname>Dicent</surname><given-names>Jocelyn</given-names></name><degrees>MA</degrees><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Conceptualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization" degree-contribution="supporting">Conceptualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Funding acquisition" vocab-term-identifier="http://credit.niso.org/contributor-roles/funding-acquisition" degree-contribution="supporting">Funding acquisition</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Visualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/visualization" degree-contribution="supporting">Visualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - original draft" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-original-draft" degree-contribution="supporting">Writing - original draft</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - review &amp; editing" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing" degree-contribution="supporting">Writing - review &amp; editing</role><aff><institution>Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University</institution>, New York, NY, <country country="US">USA</country></aff>
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<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8984-1284</contrib-id>
<name><surname>Miller</surname><given-names>Gary W</given-names></name><degrees>PhD</degrees><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Conceptualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization" degree-contribution="equal">Conceptualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Funding acquisition" vocab-term-identifier="http://credit.niso.org/contributor-roles/funding-acquisition" degree-contribution="lead">Funding acquisition</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Supervision" vocab-term-identifier="http://credit.niso.org/contributor-roles/supervision" degree-contribution="equal">Supervision</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - review &amp; editing" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing" degree-contribution="equal">Writing - review &amp; editing</role><aff><institution>Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University</institution>, New York, NY, <country country="US">USA</country></aff>
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<contrib contrib-type="author">
<name><surname>Zota</surname><given-names>Ami R</given-names></name><degrees>ScD</degrees><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Conceptualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization" degree-contribution="equal">Conceptualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Funding acquisition" vocab-term-identifier="http://credit.niso.org/contributor-roles/funding-acquisition" degree-contribution="lead">Funding acquisition</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Supervision" vocab-term-identifier="http://credit.niso.org/contributor-roles/supervision" degree-contribution="lead">Supervision</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - original draft" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-original-draft" degree-contribution="equal">Writing - original draft</role><role vocab="credit" vocab-identifier="http://credit.niso.org" vocab-term="Writing - review &amp; editing" vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing" degree-contribution="equal">Writing - review &amp; editing</role><aff><institution>Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University</institution>, New York, NY, <country country="US">USA</country></aff>
</contrib></contrib-group>
<author-notes>
<corresp id="osad003-cor1">To whom correspondence should be addressed: Email: <email>mb4729@cumc.columbia.edu</email></corresp>
</author-notes>
<pub-date pub-type="cover" iso-8601-date="2023-01-01"><year>2023</year></pub-date>
<pub-date pub-type="collection" iso-8601-date="2023-01-20"><day>20</day><month>01</month><year>2023</year></pub-date>
<pub-date pub-type="epub" iso-8601-date="2023-03-21"><day>21</day><month>03</month><year>2023</year></pub-date>
<volume>3</volume><issue>1</issue>
<elocation-id>osad003</elocation-id>
<history>
<date date-type="received"><day>07</day><month>11</month><year>2022</year></date>
<date date-type="rev-recd"><day>07</day><month>03</month><year>2023</year></date>
<date date-type="accepted"><day>10</day><month>03</month><year>2023</year></date>
<date date-type="corrected-typeset"><day>24</day><month>04</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2023. Published by Oxford University Press.</copyright-statement>
<copyright-year>2023</copyright-year>
<license license-type="cc-by-nc" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">https://creativecommons.org/licenses/by-nc/4.0/</ext-link>), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com</license-p>
</license>
</permissions><self-uri xlink:href="osad003.pdf"/>
<abstract abstract-type="abstract"><title>Abstract</title>
<p>The health and disease of an individual is mediated by their genetics, a lifetime of environmental exposures, and interactions between the two. Genetic or biological sex, including chromosome composition and hormone expression, may influence both the types and frequency of environmental exposures an individual experiences, as well as the biological responses an individual has to those exposures. Gender identity, which can be associated with social behaviors such as expressions of self, may also mediate the types and frequency of exposures an individual experiences. Recent advances in exposome-level analysis have progressed our understanding of how environmental factors affect health outcomes; however, the relationship between environmental exposures and sex- and gender-specific health remains underexplored. The comprehensive, non-targeted, and unbiased nature of exposomic research provides a unique opportunity to systematically evaluate how environmental exposures interact with biological sex and gender identity to influence health. In this forward-looking narrative review, we provide examples of how biological sex and gender identity influence environmental exposures, discuss how environmental factors may interact with biological processes, and highlight how an intersectional approach to exposomics can provide critical insights for sex- and gender-specific health sciences.</p>
</abstract>
<kwd-group><kwd>gender and sexual minorities</kwd><kwd>sex-specific medicine</kwd><kwd>gender-specific medicine</kwd><kwd>intersectionality</kwd><kwd>personal care products</kwd><kwd>occupational health</kwd>
</kwd-group>
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<award-group award-type="grant">
<funding-source><institution-wrap><institution>National Institutes of Health</institution><institution-id institution-id-type="DOI">10.13039/100000002</institution-id></institution-wrap>
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<award-id>P30ES009089</award-id>
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</front>
<body><sec sec-type="intro"><title>Introduction</title>
<p>Despite the evidence suggesting that sexual dimorphism—the systematic biological differences between males and females—is a crucial factor affecting health and disease, gender bias remains prevalent in biomedical and population health research. Gender bias occurs from the level of basic scientific research up to the level of human studies due to oversights in study design, failure to consider sexual dimorphism in the analysis and interpretation of results, and androcentrism and gender insensitivity in the translation of these findings into healthcare policy.<xref ref-type="bibr" rid="osad003-B1"><sup>1</sup></xref> In animal research, there has been a common misconception that inclusion of female animals will increase data variability and necessitate larger sample sizes.<xref ref-type="bibr" rid="osad003-B2"><sup>2</sup></xref> In fact, unstaged female mice (ie, not synchronized based on stage of estrous cycle) showed generally less variability across &gt;9900 traits than their male counterparts.<xref ref-type="bibr" rid="osad003-B2"><sup>2</sup></xref> Similar bias is seen in human research, which has historically been dominated by studies on white cis-gender men. The exclusion of non-white, non-male, and non-cis-gender research subjects in human and clinical research has at times been justified to “minimize” extraneous variables. Such naïve attempts at minimizing confounding variables have resulted in the systematic exclusion of women, non-cis-gender, and Black, Indigenous, and People of Color (BIPOC) individuals in research. Together, these biases have created a deficiency in our ability to properly manage the health of individuals of all races and ethnicities across both the gender and sex spectra.</p>
<p>Health and disease are the result of interactions between an individual’s genetic composition and their cumulative lifetime environmental exposures. Few diseases result exclusively from genetic variation, and men and women are largely genetically identical aside from differences due to sex chromosomes. Only 10%–30% of chronic disease risk can be explained by genetics, meaning disease risk may be largely ascribed to environmental factors.<xref ref-type="bibr" rid="osad003-B3"><sup>3</sup></xref> Thus, environmental exposures represent a major contributor to health outcomes that requires a thorough characterization to understand health and disease. Many of the environmental exposures that humans experience are products of cultural and societal norms born out of pervasive heterosexism, classism, misogyny, patriarchy, and racism, meaning that biological sex and gender identity may influence the types and patterns of environmental exposures an individual experiences. Furthermore, given that many environmental exposures are governed by these cultural and societal norms, individuals who exist at the intersection of multiple marginalized groups are often subject to unique and compounded exposure patterns.</p>
<p>Unlike conventional analyses where only a few exposures or markers are targeted a priori, modern exposome analysis, or exposomics, sets out to characterize all exposures in an untargeted and comprehensive manner. Advancements in high-resolution mass spectrometry (HRMS) technologies have facilitated high-throughput detection and annotation of compounds or chemical patterns from complex and dynamic exposures.<xref ref-type="bibr" rid="osad003-B4"><sup>4</sup></xref> Furthermore, exposomics is amenable to intersectionality, which can be defined by a “theoretical framework for understanding how multiple social identities such as race, gender, sexual orientation, socioeconomic status (SES), and disability intersect at the micro level of individual experience to reflect interlocking systems of privilege and oppression (ie, racism, sexism, heterosexism, and classism) at the macro social–structural level.”<xref ref-type="bibr" rid="osad003-B5"><sup>5</sup></xref> A recent commentary outlines in detail how exposomics can utilize intersectionality to understand how environmental factors influence health and disease.<xref ref-type="bibr" rid="osad003-B6"><sup>6</sup></xref> In this forward-looking narrative review, we cover the historical lack of inclusion of biological sex and gender identity as factors that mediate health outcomes, provide examples of how both biological sex and gender identity may influence the types of environmental exposures an individual experiences as well as the biological response to those exposures, and discuss how intersectionality is a necessary factor to consider in sex- and gender-specific research. Thus, we present the exposome as a tool to analyze both environmental exposures and the associated biological effects of those exposures to understand how the intersection of environmental health and biological sex and gender identity impact health.</p>
</sec>
<sec><title>Biological sex and gender identity</title>
<p>Biological sex and gender identity have been increasingly recognized as playing significant roles in human health<xref ref-type="bibr" rid="osad003-B7"><sup>7</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B8"><sup>8</sup></xref>; however, sex- and gender-associated environmental risk factors still require thorough investigation. When considering how the environment may confer sex- and gender-specific health outcomes, it is first important to define sex, gender, and the relationship between the two. While chromosomal sex is determined at the point of fertilization, all humans begin as undifferentiated zygotes with identical structures and indiscriminate biological sex until they undergo sexual differentiation in utero.<xref ref-type="bibr" rid="osad003-B9"><sup>9</sup></xref> Sexual differentiation results from the expression of sex hormones such as testosterone, estrogen, and progesterone, whose expression is regulated by the presence of the “SRY” (sex-determining region Y) gene on the Y chromosome.<xref ref-type="bibr" rid="osad003-B10"><sup>10</sup></xref> In addition to in utero sexual development, adolescent developmental stages where secondary sex organs develop are a key feature of sexual dimorphism and rely on hormonal signaling.</p>
<p>In Western societies, both biological sex and gender identity have historically been regarded as binary phenomena with assignment of male or female occurring at birth based on sex chromosome composition and the presentation of gonads and external genitalia. Thus, an individual possessing biological characteristics including XY chromosomes, testes, etc. would be assigned male, and an individual possessing biological characteristics including XX chromosomes, ovaries, etc. would be assigned female. Individuals with an ambiguous or atypical sexual characteristic presentation typically receive the assignment intersex; however, these individuals are frequently subject to medical interventions to conform to the male–female sex binary.<xref ref-type="bibr" rid="osad003-B11"><sup>11</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B12"><sup>12</sup></xref> The male–female sex binary is further reflected in the mainstream medical and scientific literature, which results in a lack of inclusion of people across the gender and sex spectra.</p>
<p>While biological sex can be defined by biological characteristics, gender is a social construct, not a biological construct, and individuals may have a gender identity that does not correspond with the biological sex to which they were assigned at birth. There are myriad examples throughout history of groups across Africa, Asia, Europe, Australia, New Zealand, and indigenous groups in the Americas who recognize both biological sex and gender identities outside of the male–female binary; however, the Western world has only recently begun to accept that gender exists on a spectrum that includes identities such as transgender, agender, non-binary, and genderqueer.<xref ref-type="bibr" rid="osad003-B13"><sup>13</sup></xref> This spectrum is also inclusive of individuals who choose to undergo gender-affirming treatments such as hormone therapy or sex-affirmation surgery, which allow individuals to have biological sexual characteristics consistent with their gender identity.</p>
<p>Since gender identity and biological sex are not inherently linked, it is important to make a distinction between <italic>gender-specific</italic> and <italic>sex-specific</italic> in the health science literature. Historically, the term <italic>gender-specific</italic> has been used in biomedical research to refer to <italic>sex-specific</italic> effects, or the terms have been used interchangeably with the assumption that people are cis-gender. In this manuscript, we distinguish <italic>biological sex</italic> from <italic>gender identity</italic>, where <italic>biological sex</italic> refers to the composition of chromosomes, sex hormones, gonads, and genitalia an individual has, and <italic>gender identity</italic> refers to the identity an individual possesses, which may be associated with social behaviors of traditional ideas of masculinity and femininity. Thus, we also employ <italic>gender-specific</italic> to refer to health as it relates to gender identity, and <italic>sex-specific</italic> to refer to health as it relates to biological sex.</p>
</sec>
<sec><title>Sex- and gender-specific health</title>
<p>Biological sex and gender identity can mediate an individual’s health through endogenous physiological processes regulated by genetics and hormones, and exogenous processes including behaviors influenced by social factors.<xref ref-type="bibr" rid="osad003-B14"><sup>14</sup></xref> Many major chronic diseases are characterized by sex and gender disparities in terms of prevalence, diagnosis, treatment, and mortality.<xref ref-type="bibr" rid="osad003-B7"><sup>7</sup></xref> Although there is significant evidence that sex and gender are key mediators of health, it was not until 1993 that the National Institute of Health (NIH) issued guidelines to ensure inclusion of women and minorities in clinical research, and only launched an initiative to include sex as a biologic variable in preclinical research in 2014.<xref ref-type="bibr" rid="osad003-B15"><sup>15</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B16"><sup>16</sup></xref> This has subsequently been followed by a 2019 initiative to include sexual and gender minorities (SGMs) in research, including those “who identify as lesbian, gay, bisexual, asexual, transgender, Two-Spirit, queer, and/or intersex… with same-sex or -gender attractions or behaviors and those with a difference in sex development… [and] those who do not self-identify with one of these terms but whose sexual orientation, gender identity or expression, or reproductive development is characterized by non-binary constructs of sexual orientation, gender, and/or sex.”<xref ref-type="bibr" rid="osad003-B17"><sup>17</sup></xref> It is important to acknowledge that although the umbrella term SGM refers to both sexual and gender minorities, sexual orientation is distinct from biological sex and gender identity, which are the focus of this article.</p>
<p>Despite these initiatives, both preclinical and clinical research continue to suffer from a lack of inclusion and diversity. The exclusion of women and SGM from preclinical and clinical research studies has led to a lack of understanding of sex- and gender-specific health and disease outcomes. For example, managing health with prescription medication represents a key area of health. However, insufficient representation of people across the gender and sex spectra in clinical trials has resulted in a lack of understanding of the sex- and gender-specific effects of newly developed therapeutics.<xref ref-type="bibr" rid="osad003-B18"><sup>18</sup></xref> This lack of inclusion likely contributes to the fact that 8 out of 10 drugs removed from the US market have more adverse effects in cis-gender women.<xref ref-type="bibr" rid="osad003-B19"><sup>19</sup></xref> Biological differences including body size and body composition can influence drug dosing and distribution. Cis-gender women typically have smaller body mass than cis-gender men, but a higher body fat percentage, which may result in a higher bodily concentration and distribution of a drug taken at the same dose.<xref ref-type="bibr" rid="osad003-B20"><sup>20</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B21"><sup>21</sup></xref></p>
<p>Furthermore, there is significant evidence that sex hormones can influence drug pharmacokinetics and/or pharmacodynamics.<xref ref-type="bibr" rid="osad003-B18"><sup>18</sup></xref> For instance, sex hormones may compete with medications for drug targets, interact with the enzymes responsible for drug metabolism, or alter the transcription of these enzymes.<xref ref-type="bibr" rid="osad003-B22"><sup>22</sup></xref> Thus, the interaction between sex hormones and drug pharmacokinetics and/or pharmacodynamics is particularly important to consider for the health of people utilizing hormone therapy. For example, people experiencing menopause may take estrogen as hormone replacement therapy to mitigate negative symptoms.<xref ref-type="bibr" rid="osad003-B23"><sup>23</sup></xref> Additionally, some SGM individuals experiencing gender dysphoria and/or body dysmorphia as a result of the dissonance between their gender identity and biological sex may utilize hormone therapy and/or sex-affirming surgeries, which have been shown to improve health outcomes for these individuals.<xref ref-type="bibr" rid="osad003-B24 osad003-B25 osad003-B26 osad003-B27 osad003-B28 osad003-B29"><sup>24-29</sup></xref> While it is known that sex hormones may influence drug metabolism, there is currently a lack of data investigating the effects of hormone therapy on drug effects including dosage and metabolism.<xref ref-type="bibr" rid="osad003-B22"><sup>22</sup></xref></p>
</sec>
<sec><title>Sex- and gender-specific exposures</title>
<p>Environmental exposures are diverse and complex, including both physicochemical and social–structural stressors, and are experienced continuously across locations such as our homes, schools, workplaces, and in ambient indoor and outdoor environments. Physicochemical exposures include both manmade and naturally occurring compounds in sources such as personal care products (PCPs), food and food packaging, household cleaners, and environmental pollutants. Social–structural stressors include social, political, and economic factors that facilitate and constrain health and involve structural forces such as systemic racism, sexism, and heterosexism; state and federal policies; and residential segregation.<xref ref-type="bibr" rid="osad003-B30"><sup>30</sup></xref> Exposure patterns may vary significantly depending on biological sex and gender identity, and exposures may exert sex-specific effects by interacting with biological factors such as sex hormones.</p>
<p>The types of exposures an individual experiences can be influenced by biological sex-based needs, cultural norms, societal norms, and pressure to conform to accepted gender roles, which are shaped by patriarchal structures. Thus, the ability to define and characterize one’s exposome based on gender identity and biological sex would provide critical insight into factors influencing an individual’s health. For example, the history of occupations and household responsibilities being segregated due to gender identity and/or racialized identities represents a potential source of difference of environmental exposures.<xref ref-type="bibr" rid="osad003-B31"><sup>31</sup></xref> Furthermore, biological sex can influence use of PCPs, such as menstrual and intimate care products (MICPs) and hormonal contraceptives for people with uteruses. <xref ref-type="boxed-text" rid="osad003-BOX1">Textbox 1</xref> presents examples to demonstrate how PCPs and occupational exposure may mediate sex- and gender-specific health.</p>
<p>Gender identity can likewise influence use of PCPs including cosmetics and other beauty products, which is in part due to the marketing of products targeted to women, female-identifying, and feminine-presenting consumers, who are the main targets of unrealistic beauty standards. Studies have shown that women use on average twice as many PCPs each day compared with men, which results in higher chemical exposures to carcinogens, nanoparticles, metals, and endocrine disrupting chemicals (EDCs).<xref ref-type="bibr" rid="osad003-B32 osad003-B33 osad003-B34 osad003-B35 osad003-B36 osad003-B37 osad003-B38 osad003-B39 osad003-B40"><sup>32-40</sup></xref> EDCs, which are exogenous compounds whose structures mimic or resemble those of endogenously occurring sex hormones, can interfere with the hormone actions while increasing health risks.<xref ref-type="bibr" rid="osad003-B41"><sup>41</sup></xref> EDCs are prevalent in PCPs, but are also found in manufacturing waste, food and food packaging, flame retardants, and plastics.<xref ref-type="bibr" rid="osad003-B42"><sup>42</sup></xref> As exposure to EDCs is ubiquitous throughout our environments, they represent an universal exposure; however, depending on which hormone EDCs resemble or interact with, they will have different molecular effects, and thus may exhibit sex-specific health effects.</p>
<p>There is ample evidence to suggest that women of color, including Black, Latinx, and Asian women, are exposed to greater cumulative chemical exposures than white women, with studies identifying higher levels of some EDCs in the circulation of women of color compared with white women.<xref ref-type="bibr" rid="osad003-B43"><sup>43</sup></xref> These differences in exposure may, in part, be driven by the environmental injustice of beauty.<xref ref-type="bibr" rid="osad003-B44"><sup>44</sup></xref> BIPOC individuals experience a greater pressure to conform to Eurocentric beauty standards including light skin, straight hair, and clean and fresh scent which may influence PCP use. In fact, a recent community-based research study by members of our study team demonstrated that racialized beauty norms can impact personal decisions to use chemical straighteners and skin lighteners among women and femme-identifying individuals in Northern Manhattan and the South Bronx.<xref ref-type="bibr" rid="osad003-B45"><sup>45</sup></xref> A related study from 2022 provided the first epidemiologic evidence of an association between the use of chemical hair straighteners and the development of uterine cancer, amplifying the need for education initiatives and public policy reform for the regulation of these products.<xref ref-type="bibr" rid="osad003-B46"><sup>46</sup></xref> More comprehensive reviews on the environmental injustice of beauty can be seen in these reports.<xref ref-type="bibr" rid="osad003-B47"><sup>47</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B48"><sup>48</sup></xref></p>
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<sec><title>The exposome</title>
<p>As the environment itself and the environment to which an individual is exposed are in a constant state of flux, measuring the environment itself provides critical but limited insight into cumulative exposures or exposures during key developmental periods. People are exposed to a mixture of environmental factors every day, some of which may interact directly and transform into a new exposure, or some of which may have additive or incremental effects in the body. Exposures are also cumulative both in the sense that individuals are exposed to multiple compounds in their lives, and that individuals are exposed to the same compounds repeatedly as they age. Exposome-wide characterization, which features the use of HRMS-based assays, can profile a variety of biospecimens in an untargeted and unbiased way to simultaneously identify both exogenous factors and the endogenous responses to those exposures.<xref ref-type="bibr" rid="osad003-B49"><sup>49</sup></xref> By encompassing both the entirety of external factors as well as internal processes, the exposome provides the most relevant insight into the functional consequences of exposures on health.<xref ref-type="bibr" rid="osad003-B4"><sup>4</sup></xref></p>
<p>While exposomics analysis has not yet been widely applied to investigate biological sex and gender identity in health, studies have been performed to interrogate differences in the metabolomic profiles of men and women (as defined by biological sex) in healthy and disease states.<xref ref-type="bibr" rid="osad003-B50 osad003-B51 osad003-B52 osad003-B53 osad003-B54 osad003-B55 osad003-B56 osad003-B57"><sup>50-57</sup></xref> One type of exposome measure uses HRMS to probe the metabolome, which focuses on the holistic profile of small molecules and metabolites found in a biosample including both endogenously produced compounds and exogenously experienced compounds.<xref ref-type="bibr" rid="osad003-B58"><sup>58</sup></xref> The findings of these studies have revealed baseline differences based on biological sex such as creatinine content, steroid hormones, and branched chain amino acids.<xref ref-type="bibr" rid="osad003-B50"><sup>50</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B51"><sup>51</sup></xref> Functional pathway analysis, such as over-representation analysis, can be applied to the metabolomic findings, which revealed in one study differences in redox homeostasis as well as steroid and purine nucleotide metabolism.<xref ref-type="bibr" rid="osad003-B53"><sup>53</sup></xref></p>
<p>Sex hormones, menstruation, menopause, and the use of hormonal contraceptives are important to consider in metabolomics research. The phase of the menstrual cycle a participant is in when samples are taken can influence metabolomic profiles. For instance, one study identified 67 differences in metabolites during the luteal phase including amino acids, lipids, carbohydrates, and metabolites associated with energy and vitamin metabolism.<xref ref-type="bibr" rid="osad003-B52"><sup>52</sup></xref> Furthermore, a study analyzing plasma samples from patients with metabolic syndrome identified 97 differences in the metabolomic profiles of women who were and were not using hormonal contraceptives including differences in amino acids, free and acyl-carnitine, and non-esterified fatty acids.<xref ref-type="bibr" rid="osad003-B55"><sup>55</sup></xref> In addition to differences in metabolomic profiles based on biological sex, gender identity may also impact metabolomic and exposomic profiles due to an individual’s social behaviors, which can affect the types and frequency of environmental exposures an individual experiences.</p>
<p>Exposomics can help disentangle whether the differences in the effects of environmental exposures are due to differences in the patterns and frequencies of exposures themselves, or differences due to sex-specific biological responses to those exposures. For example, although it has been widely believed that individuals living in the same household are “environmentally matched,” this is not necessarily the case. Some initiatives have begun to examine this in more detail, using male–female partners living in the same households, to determine the effect of sex on one’s environmental exposures. Using an exposome experimental framework, Chung et al.<xref ref-type="bibr" rid="osad003-B59"><sup>59</sup></xref> assessed levels of 128 EDCs in the blood sera and urine of 501 heterosexual couples via HRMS. Strikingly, they found eight EDCs correlated with sex, including five per- and polyfluoroalkyl substances (PFASs), cotinine, blood lead, and mercury.<xref ref-type="bibr" rid="osad003-B59"><sup>59</sup></xref> Additionally, shared household explained less than 20% of the total variance of 11 EDC classes, with PFASs and blood metals being the only two classes of EDCs where the total variance was explained largely by shared living conditions, 43% and 41%, respectively.<xref ref-type="bibr" rid="osad003-B59"><sup>59</sup></xref> These findings further highlight the variability in exposure between pair-members suggesting that sex-specific practices play an important role in an individuals’ exposure profile. This study provides an important proof-of-concept showing not only that sex-specific environmental exposures exist but can be sensitively distinguished between members of the same household using currently available technological and methodological platforms.</p>
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<sec><title>Incorporating sex and gender in exposome research</title>
<p>As illustrated in <xref ref-type="fig" rid="osad003-F1">Figure 1</xref>, upstream structural factors including intersectional systems of power and oppression and cultural and societal norms create systems of injustice including cissexism, heterosexism, classism, and racism.<xref ref-type="bibr" rid="osad003-B6"><sup>6</sup></xref> These upstream factors dictate accepted gender roles and beauty standards, which can in turn mediate sex- and gender-specific exposome by influencing PCP use and occupational exposures. An individual’s biological responses to these exposures are mediated by several factors including sex hormone expression, body composition, and overall pharmaco- and toxico-dynamics and kinetics. The interaction of exposures with biological factors results in differential health outcomes for individuals across the gender- and sex-spectra.</p>
<fig id="osad003-F1"><label>Figure 1.</label><caption><p>Overarching structural factors create systems that mediate sex- and gender-specific exposome. Exposures interact with biological processes in a sex- and gender-dependent manner to influence health outcomes.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" mimetype="image" xlink:href="osad003f1.png"/></fig>
<p>The inclusion of diverse and inclusive populations of research participants is of utmost importance to better understand sex- and gender-based health outcomes. Not only will this ensure data regarding health and disease outcomes are collected on these individuals, but it will also provide insight into how to adequately address specific issues experienced by these subgroups. One obstacle health researchers must overcome is the historical exploitation and mistreatment of BIPOC communities in health research, which has sown a justified mistrust of health researchers.<xref ref-type="bibr" rid="osad003-B60"><sup>60</sup></xref> One way to address this mistrust is through engagement of local communities in the research process. Community-based participatory research is a critical research framework, which can be used to better understand multiple forms of intersectional discrimination experienced by marginalized communities including specific exposure pathways that drive environmental health burdens, as well as systemic solutions for environmental health equity.<xref ref-type="bibr" rid="osad003-B61"><sup>61</sup></xref> Several community-based research collaboratives, such as the Taking Stock Study and the Beauty Inside Out Campaign, are working to reduce risks from unregulated chemicals in consumer products among Black, Latinx, and Asian women and femme-identifying individuals.<xref ref-type="bibr" rid="osad003-B62"><sup>62</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B63"><sup>63</sup></xref></p>
<p>Once study participants are recruited, however, it is vital that questionnaires do not inadvertently exclude individuals based on survey response options that are limited to cis-gender identities within the male–female binary.<xref ref-type="bibr" rid="osad003-B64"><sup>64</sup></xref> One method to ensure inclusivity is the “two-step method,” which asks study participants to identify their current gender identity as well as separately identifying the sex to which they were assigned at birth.<xref ref-type="bibr" rid="osad003-B65"><sup>65</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B66"><sup>66</sup></xref> Surveys can include options for identity including non-binary, genderqueer, agender, gender non-conforming, transgender, and two-spirit. The inclusion of culturally specific identities is imperative and can be accomplished with phrasing such as the example suggested by Bauer <italic>et al.</italic><xref ref-type="bibr" rid="osad003-B67"><sup>67</sup></xref> as “Indigenous or other cultural gender minority (eg, two-spirit).” Expansions on the “two-step method” have resulted in a multidimensional sex/gender measure, which can include subsequent questions for study participants with non-cis-gender identities to create a more complete picture of the individual.<xref ref-type="bibr" rid="osad003-B67"><sup>67</sup></xref> These expanded questionnaires may include questions regarding the use of hormone therapy, which is not only relevant to non-cis-gender individuals, but also important in the context of biological sex- and gender-specific health as a consideration for post-menopausal individuals. As a result, several documents with recommendations for inclusive language have been created as resources to researchers.<xref ref-type="bibr" rid="osad003-B63"><sup>63</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B67 osad003-B68 osad003-B69"><sup>67-69</sup></xref></p>
<p>There are several examples of researchers centering and prioritizing marginalized groups in environmental health research at both the preclinical and clinical levels. For instance, there have been significant efforts to be inclusive of SGMs in toxicology research and medicine, with researchers further outlining how animal models can be used to address the health of individuals participating in gender affirming hormone therapies.<xref ref-type="bibr" rid="osad003-B70"><sup>70</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B71"><sup>71</sup></xref> Additionally, in the realm of environmental justice, focus is being dedicated to the disparity in environmental exposures for marginalized populations such as LGBTQIA+ individuals.<xref ref-type="bibr" rid="osad003-B72"><sup>72</sup></xref> Concepts such as the public health exposome can guide these efforts to translate the findings from exposomic research into tangible changes.<xref ref-type="bibr" rid="osad003-B73"><sup>73</sup></xref> Once associations between exposures and effects are elucidated, interventions at the individual, local, national, and/or global level can be implemented to decrease disease risk and improve health. For example, as a result of extensive research demonstrating how exposure to mercury in beauty products such as skin lighteners negatively impacts health, New York became the third state to ban the sale of mercury-containing beauty products in late 2022.<xref ref-type="bibr" rid="osad003-B74"><sup>74</sup></xref></p>
<p>Additional efforts should be made to understand the specific environmental justice concerns of different marginalized communities through a sex and gender exposome lens. For example, rural and indigenous communities are disproportionately impacted by mining and other extractive industries, with severe consequences on local livelihoods, community cohesion, and the environment.<xref ref-type="bibr" rid="osad003-B75"><sup>75</sup></xref> When extractive industries intrude on indigenous populations, men in the community may be provided compensation or jobs; however, women bare a larger burden of responsibility for subsistence farming, which can be affected due to land displacement and pollution.<xref ref-type="bibr" rid="osad003-B76"><sup>76</sup></xref> Furthermore, colonization results in increased violence against indigenous women and girls, resulting in forced sterilization and widespread instances of missing and murdered women and girls.<xref ref-type="bibr" rid="osad003-B77"><sup>77</sup></xref> More information regarding issues surrounding indigenous feminism and environmental justice can be found in the special issue titled “Women’s Everyday Resistance to the Extractive Industry” of <italic>Human Geography</italic> (Volume 13, Issue 1).<xref ref-type="bibr" rid="osad003-B78"><sup>78</sup></xref></p>
<p>New agendas and frameworks, as summarized in <xref ref-type="fig" rid="osad003-F2">Figure 2</xref>, can facilitate the systematic conduct of research revolving around exposome characterization, health outcomes, and interventions. For instance, new infrastructure needs to be constructed, which spans digital databases (eg, environmental data, chemicals, and toxicokinetics), biobanking (eg, BioBank procedures, silicone passive samplers, analytical platforms [eg, HRMS]), and computing power (eg, cloud computing services).<xref ref-type="bibr" rid="osad003-B79 osad003-B80 osad003-B81 osad003-B82 osad003-B83"><sup>79-83</sup></xref> The exposome first needs to be characterized on multiple levels depending on the research questions asked, including population and/or personal and regional and/or microhabitat. Both internal and external compounds can be profiled through untargeted HRMS platforms, which can be further coupled to effect-directed analysis (EDA), and geospatial monitoring as well as traditional methods of questionnaires, surveys, and toxicological assays.<xref ref-type="bibr" rid="osad003-B84"><sup>84</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B85"><sup>85</sup></xref> The exposomics data obtained through these novel platforms will provide solid data that supplement the data obtained through questionnaires, surveys, and geospatial monitoring. Once exposome profiles are obtained, research should be focused on how the differences in exposome profiles identified lead to altered health outcomes. Data science approaches, such as mixtures modeling and mediation statistics, may aid in the association of markers of exposures and genetic susceptibility with health outcomes or disease phenotypes.<xref ref-type="bibr" rid="osad003-B86"><sup>86</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B87"><sup>87</sup></xref> The exposome data may also be integrated with data from other -omics such as genomics and proteomics to examine relevant gene-by-environment interactions and outstanding mediating factors such as gut microbiota.<xref ref-type="bibr" rid="osad003-B88"><sup>88</sup></xref> Basic scientists can follow up on the findings of exposomic-level studies to perform in vitro and in vivo studies to validate the findings and move from association toward causation.<xref ref-type="bibr" rid="osad003-B89"><sup>89</sup></xref></p>
<fig id="osad003-F2"><label>Figure 2.</label><caption><p>Toward sex- and gender-specific exposome: (1) characterizing sex- and gender-specificity in exposomics, (2) determining how sex- and gender-specific exposome are linked to health outcomes, and (3) utilizing the findings from exposomics to inform policy and enable sex- and gender-specific medicine and improved health sciences.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" mimetype="image" xlink:href="osad003f2.png"/></fig>
<p>Previous efforts, such as the NIH-funded Human Genome Project, have dedicated enormous amounts of funding and research effort to understanding the human genome at a fundamental level, and how it relates to health and disease. With successful completion of the Human Genome Project in 2003 and upgraded genomic sequencing capabilities, subfields of genetics—including molecular genetics, epigenetics, and population genetics—have been fast expanding to further advance our understanding of sex-selective toxicity and disease susceptibility while laying critical foundations for incorporating biological sex as a key variable in exposome analysis.<xref ref-type="bibr" rid="osad003-B90 osad003-B91 osad003-B92"><sup>90-92</sup></xref> The technique of genome-wide association studies (GWASs) to identify gene variants associated with health and disease can likewise be applied to exposomics in exposome-wide association studies (XWASs), which can identify markers of environmental exposures that are associated with health and disease. While a parallel project for the exposome might initially seem intractable, the NIH has recently launched a new initiative titled “All of Us,” which could provide an excellent resource of data from participants located across the United States from which to build a more complete understanding of the exposome. Globally, there are initiatives and projects to characterize the exposome and establish databases<xref ref-type="bibr" rid="osad003-B93"><sup>93</sup></xref> including ATHLETE,<xref ref-type="bibr" rid="osad003-B94"><sup>94</sup></xref> EPHOR,<xref ref-type="bibr" rid="osad003-B95"><sup>95</sup></xref> Equal-life,<xref ref-type="bibr" rid="osad003-B96"><sup>96</sup></xref> EXIMIOUS,<xref ref-type="bibr" rid="osad003-B97"><sup>97</sup></xref> HEDIMED,<xref ref-type="bibr" rid="osad003-B98"><sup>98</sup></xref> longITools,<xref ref-type="bibr" rid="osad003-B99"><sup>99</sup></xref> REMEDIA,<xref ref-type="bibr" rid="osad003-B100"><sup>100</sup></xref> EXPOsOMICS,<xref ref-type="bibr" rid="osad003-B101"><sup>101</sup></xref> HBM4EU,<xref ref-type="bibr" rid="osad003-B102"><sup>102</sup></xref> HEALS,<xref ref-type="bibr" rid="osad003-B103"><sup>103</sup></xref> the Human Exposome Project,<xref ref-type="bibr" rid="osad003-B104"><sup>104</sup></xref> the European Human Exposome Network,<xref ref-type="bibr" rid="osad003-B105"><sup>105</sup></xref> the “HERCULES” center,<xref ref-type="bibr" rid="osad003-B105"><sup>105</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B106"><sup>106</sup></xref> and the “EXPANSE” project.<xref ref-type="bibr" rid="osad003-B107"><sup>107</sup></xref></p>
<p>Exposome research, with new designs, infrastructures, and approaches, provides a framework by which sex- and gender-specific environmental factors can be evaluated for their impacts on health. An intersectional approach with a concerted effort to not only include but center women, SGM, and BIPOC individuals in health research will help to remedy our current dearth of understanding regarding sex- and gender-specific health outcomes. The findings of this research can be translated into educational efforts on regional and local levels, among stakeholders, scientists, and the public, to increase awareness of the role of the environment in sex- and gender-specific health.<xref ref-type="bibr" rid="osad003-B108"><sup>108</sup></xref> This can in turn inform policymaking regarding the regulation of environmental factors and exposures. Ultimately, this research will help to manage individual health risk assessment and precision medicine, where individual behaviors may be geared to improve health.</p>
<p>
<boxed-text id="osad003-BOX1"><label><bold>Textbox 1.</bold> Sex- and gender-specific PCP and occupational exposures</label><p><bold>Personal care products:</bold> MICPs, including tampons, panty liners, sanitary napkins/pads, sprays, douches, anti-itch creams, wipes, and powders, are an example of a sex-specific exposure experienced by menstruating people. The mucosal membranes of the vagina and vulva are more permeable than many dermal surfaces, and the vaginal walls contain ample vasculature, allowing for the rapid absorption of chemicals into the system.<xref ref-type="bibr" rid="osad003-B109"><sup>109</sup></xref> This has major implications for toxicant exposure around these sensitive tissues, with suspected enhanced absorption of these compounds. As such, greater oversight should be placed on the manufacturing of these products to ensure the safety of their users. However, the FDA considers MICPs, such as tampons and pads, medical devices requiring much less regulation in their composition than food, drugs, or cosmetics.<xref ref-type="bibr" rid="osad003-B110"><sup>110</sup></xref></p>
<p>Multiple studies have revealed hazardous chemical components in MICPs that have been linked with health effects and disease outcomes, including a variety of EDCs, which can disrupt hormonal signaling, such as phthalates, bisphenols, parabens, dioxins, and furans.<xref ref-type="bibr" rid="osad003-B111 osad003-B112 osad003-B113"><sup>111-113</sup></xref> Tampons, which use cotton, confer a risk of pesticide exposure due to pesticides being sprayed directly on the cotton crops, and a risk of metal exposure due to the bioaccumulation of metals in cotton plants.<xref ref-type="bibr" rid="osad003-B114"><sup>114</sup></xref> Further, dioxins and furans, chemicals used in the cotton bleaching process, have been reported in tampons and sanitary napkins sold in the United States.<xref ref-type="bibr" rid="osad003-B115"><sup>115</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B116"><sup>116</sup></xref> A complete list of chemicals of concern in MICPs and their associated health effects has been curated and summarized.<xref ref-type="bibr" rid="osad003-B117"><sup>117</sup></xref></p>
<p>Evaluating MICP and occupational exposures through an intersectional approach reveals racial/ethnic disparities. The most commonly used MICP products include tampons, panty liners, and pads, with up to 85%, 75%, and 73% of US women reporting usage, respectively. Race and ethnicity can have a large impact on usage of these products, with Black and Latina women reporting increased use of douches, wipes, sprays, and powders.<xref ref-type="bibr" rid="osad003-B118"><sup>118</sup></xref> Historically, there have been racist olfactory stereotypes utilized to dehumanize and oppress people of color, which can increase pressure to use MICP products such as vaginal deodorants and douches in effort to challenge these stereotypes and gain equality.<xref ref-type="bibr" rid="osad003-B119"><sup>119</sup></xref> Capitalizing on these stereotypes, people of color have been disproportionally targeted by the marketing of these products.<xref ref-type="bibr" rid="osad003-B119"><sup>119</sup></xref> Furthermore, use of these products has been associated with lower education levels and SES.<xref ref-type="bibr" rid="osad003-B120"><sup>120</sup></xref></p>
<p><bold>Occupational exposures:</bold> Domestic work is an example of a traditionally gendered responsibility, and occupation, dominated by female individuals. According to the US Bureau of Labor Statistics 2021 data, 88.7% of maids/housekeeping cleaners were women, almost half of which were Hispanic or Latino.<xref ref-type="bibr" rid="osad003-B121"><sup>121</sup></xref> Although cleaning practices promote overall health and hygiene, they can expose individuals heavily utilizing these cleaners to a variety of chemical hazards. The most common routes of chemical exposure for household cleaners are dermal, specifically the hands, and respiratory, through the use of aerosols and sprays.<xref ref-type="bibr" rid="osad003-B122"><sup>122</sup></xref> In line with these exposure routes, a meta-analysis of the literature surrounding occupational exposures in household cleaners and janitorial staff reported respiratory diseases and dermatologic diseases as the most common ailments suffered by this population.<xref ref-type="bibr" rid="osad003-B123"><sup>123</sup></xref></p>
<p>Some of the compounds found in household cleaners include volatile organic compounds (VOCs), which are chemicals that are emitted as gas at ambient temperatures such as limonene, toluene, benzene, chloroform, ethylbenzene, trichloroethene, and carbon tetrachloride.<xref ref-type="bibr" rid="osad003-B124"><sup>124</sup></xref><sup>,</sup><xref ref-type="bibr" rid="osad003-B125"><sup>125</sup></xref> Passive samplers to characterize VOC exposures for hotel housekeepers discovered twice the total target VOC concentration levels compared with indoor air samplers.<xref ref-type="bibr" rid="osad003-B126"><sup>126</sup></xref> Occupational exposure to VOCs and chemical dust has been associated with female infertility, potentially due to the endocrine disrupting properties of some of these chemicals.<xref ref-type="bibr" rid="osad003-B127"><sup>127</sup></xref> Furthermore, disorders and diseases of the lung, including poor asthma control, chronic obstructive pulmonary disease and lung cancer, have been associated with occupational exposure to cleaners.<xref ref-type="bibr" rid="osad003-B128 osad003-B129 osad003-B130 osad003-B131"><sup>128-131</sup></xref> Reduced lung function due to occupational and household cleaning exposure has been found in women, but not men, most likely due to the disproportionate number of women in this study who reported cleaning.<xref ref-type="bibr" rid="osad003-B132"><sup>132</sup></xref> The health risks associated with occupational exposure to cleaners go beyond those directly exposed, with one study showing the children of exposed mothers to be at increased risk of developing pulmonary disorders, including asthma, allergies, and wheezing.<xref ref-type="bibr" rid="osad003-B133"><sup>133</sup></xref></p></boxed-text></p>
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<sec><title>Author contributions</title>
<p>Meghan L. Bucher (Conceptualization [equal], Funding acquisition [supporting], Visualization [equal], Writing—original draft [lead], Writing—review &amp; editing [lead]), Faith L. Anderson (Conceptualization [equal], Funding acquisition [supporting], Writing—original draft [equal], Writing—review &amp; editing [supporting]), Yunjia Lai (Conceptualization [equal], Visualization [supporting], Writing—original draft [equal], Writing—review &amp; editing [supporting]), Jocelyn Dicent (Conceptualization [supporting], Funding acquisition [supporting], Visualization [supporting], Writing—original draft [supporting], Writing—review &amp; editing [supporting]); Gary W. Miller (Conceptualization [equal], Funding acquisition [lead], Supervision [equal], Writing—review &amp; editing [equal]), and Ami R. Zota (Conceptualization [equal], Funding acquisition [lead], Supervision [lead], Writing—original draft [equal], Writing—review &amp; editing [equal])</p>
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<sec sec-type="data-availability"><title>Data availability</title>
<p>No new data were generated or analyzed in support of this research.</p>
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<sec><title>Funding</title>
<p>This work was funded by the National Institutes of Health P30ES009089. M.L.B., F.L.A., and J.D. received support from the National Institute of Environmental Health Sciences T32 ES007322. G.W.M. was supported by the National Institutes of Health grants RF1AG066107, R01AG067501, U2CES030163, R01ES023839, and UL1TR00187. A.R.Z is supported by grants from the National Institutes of Health (R01ES031065, R21HD096248, R24ES029489), and the California Breast Cancer Research Program (23UB6511, B28TP5728).</p>
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<sec><title>Conflict of interest statement</title>
<p>Dr. G.W.M. receives royalties from his books “The Exposome: A Primer” and “The Exposome: A New Paradigm for the Environment and Health.” He also receives an annual stipend for his service as Editor-in-Chief of Exposome.</p>
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