Racial bias in perceptions of children's pain.

Across eight experiments, we investigated whether adult perceivers (both lay perceivers and elementary school teachers) evaluate children's pain differently depending on the child's race. We found evidence that adults varying in racial and ethnic identities (but primarily White) believed 4- to 6-year-old Black children felt less pain than 4- to 6-year-old White children (Experiments 1-7), and this effect was not moderated by child sex (Experiments 6-7). We also examined perceptions of life hardship as a mediator of this race-to-pain effect, finding that adults evaluated Black children as having lived harder lives and thus as feeling less pain than White children (Experiments 1-3). Finally, we examined downstream consequences for hypothetical treatment recommendations among samples of both lay perceivers and elementary school teachers. We found that adults' perceptions of pain sensitivity were linked with hypothetical pain treatment decisions (Experiments 5a-7). Thus, we consistently observed that adults' race-based pain stereotypes biased evaluations of 4- to 6-year-old children's pain and may influence pain care. This racial bias in evaluations of young children's pain has implications for psychological theory and equitable treatment of children's pain. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Women exaggerate, men downplay: Gendered endorsement of emotional dramatization stereotypes contributes to gender bias in pain expectations.

The current work tested whether perceivers believe that women, relative to men, are likely to exaggerate versus downplay pain, an effect we refer to as the gender-pain exaggeration bias. The gender-pain exaggeration bias was operationalized as the extent to which perceivers believe women, relative to men, claim more pain than they feel. Across four experiments, we found that women were expected to exaggerate pain more than men and men were expected to downplay pain more than women (Studies 1-4). Further, judgments that women were more emotionally dramatizing than men contributed to this gender-pain exaggeration bias (Studies 2 and 4). We also assessed whether perceiver-level differences in endorsement of gendered emotional dramatization stereotypes (Studies 3-4) moderated this gender-pain exaggeration bias and found that endorsement of gendered emotional dramatization stereotypes moderated this bias. In sum, we document a relative gender-pain exaggeration bias wherein perceivers believe women, relative to men, to be emotionally dramatizing and therefore more likely to exaggerate versus downplay their pain. This bias may lead perceivers to interpret women's, relative to men's, pain reports as overstatements, inauthentic, or dramatized. Thus, the current work may have implications for well-documented biases in perceptions of (i.e., underestimating) and responses to (i.e., undertreating) women's pain.

Denver pain authenticity stimulus set (D-PASS).

We introduce the Denver Pain Authenticity Stimulus Set (D-PASS), a free resource containing 315 videos of 105 unique individuals expressing authentic and posed pain. All expressers were recorded displaying one authentic (105; pain was elicited via a pressure algometer) and two posed (210) expressions of pain (one posed expression recorded before [posed-unrehearsed] and one recorded after [posed-rehearsed] the authentic pain expression). In addition to authentic and posed pain videos, the database includes an accompanying codebook including metrics assessed at the expresser and video levels (e.g., Facial Action Coding System metrics for each video controlling for neutral images of the expresser), expressers' pain threshold and pain tolerance values, averaged pain detection performance by naïve perceivers who viewed the videos (e.g., accuracy, response bias), neutral images of each expresser, and face characteristic rating data for neutral images of each expresser (e.g., attractiveness, trustworthiness). The stimuli and accompanying codebook can be accessed for academic research purposes from https://digitalcommons.du.edu/lsdl_dpass/1/ . The relatively large number of stimuli allow for consideration of expresser-level variability in analyses and enable more advanced statistical approaches (e.g., signal detection analyses). Furthermore, the large number of Black (n = 41) and White (n = 56) expressers permits investigations into the role of race in pain expression, perception, and authenticity detection. Finally, the accompanying codebook may provide pilot data for novel investigations in the intergroup or pain sciences.