Negative emotions increase unhealthy eating: Evidence from the Wuhan lockdown during COVID-19.

This paper studies how negative emotions like stress, anxiety, and boredom can affect unhealthy food consumption. Using the Wuhan lockdown as an external shock, we examine the changes in food consumption in a city that was not in lockdown. We applied the difference-in-differences method to a large scanner dataset from a retail monopoly in China. Our findings reveal that negative emotions induced by the pandemic lockdown significantly elevated consumer spending on unhealthy food items such as crisps, sugary beverages, regular soda, and low-alcohol beverages. Notably, the effect of unhealthy food consumption was more pronounced among younger and wealthier demographics. Triggering factors, like information about confirmed new deaths and infections as well as proximity to local hospitals, were found to strongly influence the consumption of unhealthy foods. Overall, the lockdown's impact extended beyond short-term increases in snack consumption to substantial increases in overall dietary and nutritional intake.

Collagen-related gene expression level predicts the prognosis and immune therapy response.

BACKGROUND: Gastric cancer patients responded differently to the same treatment strategy and had various prognoses for the lack of biomarkers to guide the therapy choice. METHODS: RNA data of a local gastric cancer cohort with 103 patients were processed and used to explore potential treatment guiding factors. Cluster analysis was performed by non-negative matrix factorization. The expression level of collagen-related genes was evaluated by ssGSEA named collagen score (CS). Data from TCGA, ACRG, and an immune therapy cohort were utilized to explore prognosis and efficacy. Prognostic predictive power of CS was assessed using the nomogram. RESULTS: In our study, local RNA data were processed by cluster analysis, and it was found that cluster 2 contained a worse tumor infiltration status. The GSEA result showed that collagen-related pathways were differentially activated in two clusters. In TCGA and ACRG cohorts, the CS can be used as an independent prognostic factor (TCGA OS: p = 0.018, HR = 3.5; ACRG OS: p = 0.014, HR = 4.88). An immunotherapy cohort showed that the patients with higher CS had a significantly worse ORR (p = 0.0025). The high CS group contained several cell death pathways down-regulated and contained the worse tumor microenvironment. The nomogram demonstrated the survival prediction capability of collagen score. CONCLUSION: CS was verified as an independent prognostic factor and potentially reflected the therapeutic effect of immunotherapy. The CS could provide a new way to evaluate the clinical prognosis and response information helping develop the collagen-targeted treatment.

Adding Up Peer Beliefs: Experimental and Field Evidence on the Effect of Peer Influence on Math Performance.

We studied how gendered beliefs about intellectual abilities transmit through peers and differentially impact girls' academic performance relative to boys'. Study 1 (N = 8,029; 208 classrooms) exploited randomly assigned variation in the proportion of a child's middle school classmates who believe that boys are innately better than girls at learning math. An increase in exposure to peers who report this belief generated losses for girls and gains for boys in math performance. This peer exposure also increased children's likelihood of believing the gender-math stereotype, increased the perceived difficulty of math, and reduced aspirations among girls. Study 2 (N = 547) provided proof of concept that activating a gender-math performance gap among college students reduces women's math performance but not verbal performance. Men's task performance was not affected. Our findings highlight how the prevalence of stereotypical beliefs in one's ambient and peer environment, even when readily contradictable, can shape children's beliefs and academic ability.

Assessing inequality in the school closure response to COVID-19.

The spread of coronavirus disease 2019 (COVID-19) has caused school closures in most countries, affecting over 90% of the world's student population. School closures can widen learning inequalities and disproportionately hurt vulnerable students. We collected data on the exam scores of university applicants in China before and after a two-month period of school closure. We observe that students from rural, lower-income households are more negatively affected by school closures compared to their urban, higher-income counterparts. The inequality effect remains sizable in the admission exam three months after schools reopen. To strengthen the causal interpretation of the results, we investigate the scores in the previous graduating cohorts who did not experience school closure, and find no evidence of the change in scores over the same calendar period. Our study points to the urgent need to address the educational inequality caused by school closures.