Paternalistic and Envious Gender Stereotypes: Testing Predictions from the Stereotype Content Model

This study was conducted to test whether there exists an association between vitamin D-binding protein (DBP) gene and compression strength index (CSI) phenotype. Candidate gene association analyses were conducted in total sample, male subgroup, and female subgroup, respectively. Two single-nucleotide polymorphisms (SNPs) with significant association results were found in males, suggesting the importance of DBP gene polymorphisms on the variation in CSI especially in Caucasian males. CSI of the femoral neck (FN) is a newly developed phenotype integrating information about bone size, body size, and bone mineral density. It is considered to have the potential to improve the performance of risk assessment for hip fractures because it is based on a combination of phenotypic traits influencing hip fractures rather than a single trait. CSI is under moderate genetic determination (with a heritability of approximately 44% found in this study), but the relevant genetic study is still rather scarce. Based on the known physiological role of DBP in bone biology and the relatively high heritability of CSI, we tested 12 SNPs of the DBP gene for association with CSI variation in 405 Caucasian nuclear families comprising 1,873 subjects from the Midwestern US. Association analyses were performed in the total sample, male and female subgroups, respectively. Significant associations with CSI were found with two SNPs (rs222029, P = 0.0019; rs222020, P = 0.0042) for the male subgroup. Haplotype-based association tests corroborated the single-SNP results. Our findings suggest that the DBP gene might be one of the genetic factors influencing CSI phenotype in Caucasians, especially in males.

Evidence shows obesity is an important risk factor for knee osteoarthritis (OA). However, the dose-response relationship between body mass index (BMI) and knee OA risk is unclear. The purpose of the current study is to establish a nonlinear dose-response relationship between BMI and risk of knee OA. The electronic database of PubMed, Web of Science, and translating research into practice (TRIP) database were searched. Observational studies for BMI and knee OA risk were included. Restricted cubic splines and generalized least-squares regression methods were used to model a potential curvilinear relationship and to make a dose-response meta-analysis. A total of 12 studies were included in the meta-analysis. A non-linear dose-response association between BMI and risk of knee OA was significant (P = 0.001). The relative risks were 1.59 (95% CI: 1.34-1.81), 3.55 (95% CI: 2.51-5.11), and 7.45 (95% CI: 4.19-13.13) when BMI was at the point of 25, 30, and 35 kg/m(2) compared with reference (22.5 kg/m(2) , the median value of the lowest category), respectively. Non-linear dose-response association was also significant in male and female subgroup. In male subgroup, the relative risks were 1.39 (95% CI: 0.99-1.92), 3.41 (95% CI: 2.07-5.48), and 5.71 (95% CI: 3.12-9.95) when BMI was at the point of 25, 30, and 32.5 kg/m(2) compared with reference, respectively. In female subgroup, the relative risks were 1.72 (95% CI: 1.51-1.99), 3.51 (95% CI: 2.65-4.51), and 4.72 (95% CI: 3.25-6.91) compared with reference when BMI was at the point of 25, 30, and 32.5 kg/m(2) compared with reference, respectively. Modest publication bias was found in the meta-analysis. However, sensitivity analysis showed a high stability for the result. The meta-analysis indicated that knee OA risk increased almost exponentially according with the increase of body mass index. Knee OA prevention will benefit from weight control.

As aggressive behavior has a negative impact in general psychiatry, its influence specifically from a gender-related point of view in an in-patient population of a psychiatric clinic was assessed at the time of admission. A group of 521 successively admitted psychiatric in-patients was investigated at admission with the help of the "Social Dysfunction and Aggression Scale". A slightly higher frequency and intensity of "verbal aggressive behavior" was observed in males. Within the other categories of aggressive behavior ("tension", "physical violence to things", and "assaults"), however, the percentages and intensities of gender-related aggressive behavior did not differ significantly. Furthermore, under the covarying impact of various psychiatric diagnoses, the gender-related differences concerning the intensity of "verbal aggressive behavior" disappeared. When comparing male and female subgroups, it was notable that male schizophrenic patients were younger than female patients when displaying comparable risks of showing at least one kind of aggressive behavior. In addition, in the female subgroup, "self-injurious behavior" was more strongly correlated to the category "tension" than in the male subgroup. Although there are some methodological shortcomings, the present results show that there are small qualitative differences in gender-related aggressive behavior in addition to minimal quantitative differences in the frequency and intensity of "verbal aggressive behavior" at admission.

Two alternative hypotheses regarding group differentiation on the two fundamental content dimensions of competence and warmth were tested in this study; the first one based on the stereotype content model (SCM) and the other combining SCM with social identity theory and acknowledging the neglected role of group size. In addition, the potential of consensual stereotypes to counter predictions based on SCM was explored. Nationwide, representative samples of high- and low-status Swedish- and Finnish-speaking minority and majority groups in Finland and Sweden (N = 2075) attributed stereotypic traits reflecting the two content dimensions of competence and warmth to the in- and outgroup. In contrast to predictions based on SCM minority groups favoured the ingroup on both competence and warmth, regardless of status, suggesting that the contextual variable group size should be acknowledged in future studies. Also against expectations based on SCM the high-status groups did not differentiate the ingroup on competence; however, only on warmth. Group ratings on specific traits revealed consensual stereotypes for Swedish- and Finnish-speakers across the countries. Results are discussed in relation to ideology, primacy of warmth and group history.

SummaryThe outbreak of the novel coronavirus disease 2019 (COVID‐19) changed lifestyles worldwide and subsequently induced individuals’ sleep problems. Sleep problems have been demonstrated by scattered evidence among the current literature on COVID‐19; however, little is known regarding the synthesised prevalence of sleep problems (i.e. insomnia symptoms and poor sleep quality) for males and females separately. The present systematic review and meta‐analysis aimed to answer the important question regarding prevalence of sleep problems during the COVID‐19 outbreak period between genders. Using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guideline and Newcastle–Ottawa Scale checklist, relevant studies with satisfactory methodological quality searched for in five academic databases (Scopus, PubMed Central, ProQuest, Web of Science , and EMBASE) were included and analysed. The protocol of the project was registered in the International Prospective Register of Systematic Reviews (PROSPERO; identification code CRD42020181644). A total of 54 papers (N = 67,722) in the female subgroup and 45 papers (N = 45,718) in the male subgroup were pooled in the meta‐analysis. The corrected pooled estimated prevalence of sleep problems was 24% (95% confidence interval [CI] 19%–29%) for female participants and 27% (95% CI 24%–30%) for male participants. Although in both gender subgroups, patients with COVID‐19, health professionals and general population showed the highest prevalence of sleep problems, it did not reach statistical significance. Based on multivariable meta‐regression, both gender groups had higher prevalence of sleep problems during the lockdown period. Therefore, healthcare providers should pay attention to the sleep problems and take appropriate preventive action.

Background: The relationship between serum uric acid (SUA) level and diabetic peripheral neuropathy (DPN) remains controversial. We aimed to investigate the association between SUA level and DPN and evaluate the effects of SUA level on nerve conduction function via electromyography in patients with type 2 diabetes (T2DM), stratified by gender and age. Methods: This cross-sectional study included 647 inpatients with T2DM from the First Affiliated Hospital of Wenzhou Medical University between February 2017 and October 2020. The diagnosis of DPN was confirmed according to the Toronto Expert Consensus. Clinical data, SUA level, and nerve conduction parameters were obtained from electronic medical records. Results: A total of 647 patients with T2DM were included, and 471 patients were diagnosed with DPN. The level of SUA was higher in the DPN group than in the Non-DPN group (330.58 ± 99.67 vs. 309.16 ± 87.04, p < 0.05). After adjustment, a higher SUA level was associated with the presence of DPN [odds ratio (OR) 1.003, 95% confidence interval (CI), 1.001–1.005; p = 0.017]. The area under the curve for the prediction of DPN was 0.558 (95% CI, 0.509–0.608; p = 0.022), and the optimized cut-off of SUA level was 297.5 µmol/L. The SUA > 297.5 µmol/L level was independently associated with DPN in the male subgroup (OR 2.507, 95% CI, 1.405–4.473; p = 0.002) rather than in the female subgroup. Besides, SUA > 297.5 µmol/L was independently associated with DPN in the younger subgroup (age < 65 years) (OR 2.070, 95% CI, 1.278–3.352; p = 0.003) rather than in the older subgroup. In multiple linear regression analysis, SUA was significantly correlated with certain nerve conduction study parameters in the all patients group, and was also observed in the male and younger subgroups. Conclusions: Elevated SUA was independently associated with poorer nerve conduction functions, and hyperuricemia was also significantly associated with a higher risk of developing DPN in T2DM patients, especially in male and younger patients.

Systemic inequity in biometrics systems based on racial and gender disparities has received a lot of attention recently. These disparities have been explored in existing biometrics systems such as facial biometrics (identifying individuals based on facial attributes). However, such ethical issues remain largely unexplored in voice biometric systems that are very popular and extensively used globally. Using a corpus of non-speech voice records featuring a diverse group of 300 speakers by race (75 each from White, Black, Asian, and Latinx subgroups) and gender (150 each from female and male subgroups), we explore and reveal that racial subgroup has a similar voice characteristic and gender subgroup has a significant different voice characteristic. Moreover, non-negligible racial and gender disparities exist in speaker identification accuracy by analyzing the performance of one commercial product and five research products. The average accuracy for Latinxs can be 12% lower than Whites (p < 0.05, 95% CI 1.58%, 14.15%) and can be significantly higher for female speakers than males (3.67% higher, p < 0.05, 95% CI 1.23%, 11.57%). We further discover that racial disparities primarily result from the neural network-based feature extraction within the voice biometric product and gender disparities primarily due to both voice inherent characteristic difference and neural network-based feature extraction. Finally, we point out strategies (e.g., feature extraction optimization) to incorporate fairness and inclusive consideration in biometrics technology.

ObjectiveTo investigate the potential association of angiotensin I converting enzyme (ACE) gene I/D polymorphism and angiotensin converting enzyme 2 (ACE2) gene A9570G polymorphism with atrial fibrillation.MethodsA total of 305 patients...

High serum creatinine is associated with reduction of psychiatric symptoms in female patients with anti-NMDAR encephalitis

During the last couple of critical years, worldwide, there have been more than 550 million confirmed cases of COVID-19, including more than 6 million deaths (reported by the WHO); with respect to these cases, several vaccines, mainly mRNA vaccines, seem to prevent and protect from SARS-CoV-2 infection. We hypothesize that oxidative stress is one of the key factors playing an important role in both the generation and development of various kinds of disease, as well as antibody generation, as many biological paths can generate reactive oxygen species (ROS), and cellular activities can be modulated when ROS/antioxidant balance is interrupted. A pilot study was conducted in two stages during the COVID-19 pandemic in 2021 involving 222 participants between the ages of 26 and 66 years. ROS levels were measured before an after vaccination in the blood samples of 20 individuals who were vaccinated with two doses of mRNA vaccine, and an increase in ROS levels was observed after the first dose, with no modifications observed until the day before the second vaccination dose. A statistically significant difference (p < 0.001) was observed between time points 3 and 4 (before and after second dose), when participants were vaccinated for the second time, and ROS levels decreased from 21,758 to 17,580 a.u. In the second stage, blood was collected from 28 participants 45 days after COVID-19 infection (Group A), from 131 participants 45 days after receiving two doses of mRNA vaccine against COVID-19 (Group B), and from 13 healthy individuals as a control group (Group C). Additionally, antibodies levels were measured in all groups to investigate a possible correlation with ROS levels. A strong negative correlation was found between free radicals and disease antibodies in Group A (r = −0.45, p = 0.001), especially in the male subgroup (r = −0.88, p = 0.001), as well as in the female subgroup (r = −0.24, p < 0.001). Furthermore, no significant correlation (only a negative trend) was found with antibodies derived from vaccination in Group B (r = −0.01), and a negative trend was observed in the female subgroup, whereas a positive trend was observed in the male subgroup.

To evaluate the factor structure and measurement invariance of the Italian translation of the UPPS-P Impulsive Behavior Scale, while providing also normative data, 797 community dwelling adults were administered the UPPS-P online. Omega coefficient values suggested adequate internal consistency reliability for all the UPPS-P scales. Weighted least square mean and variance adjusted (WLSMV) confirmatory factor analysis (CFA) showed adequate fit for the a priori five-factor model of the UPPS-P items. Measurement invariance findings supported the scalar invariance of the UPPS-P items across male and female sub-group (RMSEA = .052, CFI = .921, D -CFI = .002), thus allowing gender comparisons in terms of latent factor mean scores. Based on these findings, normative data and T scores for the UPPS-P scale score distribution among Italian community-dwelling adults were provided. Hopefully, our findings may help clinicians and researchers to use the UPPS-P in their routine assessment of impulsive behaviors.

Using data from two studies, the current research tests the Stereotype Content Model (SCM) within a Malaysian context using Chinese and ethnic Malay participants. The aim of the research is to examine the theoretical underpinnings of the SCM in a new context by investigating the role of aspects of the perceived social structure that have not been considered previously. In line with the SCM it is found that the two dimensions of warmth and competence underlie in-group and out-group stereotypes in Malaysia. In addition, the in-group was evaluated more positively than the out-group on both dimensions. Furthermore, perceived economic social status rather than cultural or power status was related to out-group competence (Study 1), and to out-group warmth (Studies 1 and 2). Higher perceived economic competition was weakly and not consistently associated with less out-group warmth, and political competition was not related to warmth.

Background:Axial spondylarthritis (AxSpA) is a chronic inflammatory condition affecting the spine and sacroiliac joints. Additionally, it may present with extra-musculoskeletal manifestations which include inflammatory bowel disease, psoriasis, and anterior uveitis...

Susan T. Fiske discusses the stereotype content model, which explores varieties of dehumanizing prejudice that all deny other people their full humanity, diminishing them by reducing them to animals, robots, or objects. Each inflicts its own distinct damage. This chapter offers the stereotype content model as a framework for understanding this. As the chapter argues, cultures share knowable dimensions for differentiating societal groups. Among them are groups' status and interdependence (cooperation and competition). Groups' perceived place in the social structure then predicts their stereotype content; status predicts competence, and cooperation predicts warmth. The stereotype content model locates a society's perceptions of its groups in a warmth-by-competence space. For example, homeless people are allegedly neither competent nor warm (not trustworthy, sociable); they are dehumanized as disgusting and animalistic. Older people are seen as well-intentioned (warm) but incompetent; they are dehumanized as passive objects that evoke pity. Rich people are stereotypically competent but cold, enviable, yet evoking robots. Only the society's ingroup is fully human, both competent and warm. This chapter also describes the nature of current evidence for the model from surveys and lab experiments. Many examples come from the extreme outgroups, the most dehumanized. Having summarized what the model says about dehumanization, the next section addresses what alternative theories have to say, and comments on points of consensus about the two primary dimensions and their nature. The closing sections discuss implications for dehumanization and interventions to rehumanize its targets.

The stereotype content model (SCM) is a prominent model of social perception proposing two dimensions of evaluation: Warmth and competence. Occupational stereotypes have rarely been assessed in this model, especially in the German context, albeit their important impact on how individuals experience gainful occupation and navigate everyday social interactions. Responding to recent methodological critiques regarding the SCM's scale performance, we developed a context‐adapted, well‐performing German‐language SCM scale and assessed warmth and competence ratings of 13 occupational groups in a heterogeneous sample (N = 425). Using the alignment optimization procedure to allow for more reliable latent mean value comparisons, we found occupational stereotypes to differ substantially on both dimensions, with Firefighters presenting the most favorable and Politicians and Unemployed people showing the least favorable evaluations. We discuss our findings in terms of their content‐wise and methodological meaning as well as their implications for research and in occupational contexts.