Public opinion in vaccine allocation priority: who comes first?

OBJECTIVE

We investigated people's preferences in COVID-19 vaccine allocation priority, comparing different social categories based on age and occupation. Vaccine allocation preferences were related to perceived health vulnerability and economic backlash (economic negative consequences) endured by the different social groups during the pandemic. In-group favoritism in vaccine allocation preferences was analyzed.

DESIGN

Data were collected through an online survey in Italy (n = 506) before the start of the vaccination campaign.

MAIN OUTCOME MEASURES

Vaccine allocation preferences, health vulnerability, and economic backlash due to COVID-19, measured through ranking tasks.

RESULTS

The healthcare workers category was placed at the top of the ranking in vaccine allocation priority by 65% of the respondents. Vaccine allocation priority was related to perceived health vulnerability and not economic difficulties. Limited self-preference effects emerged. People who did not consider healthcare workers a priority (1/5 of the sample) had a lower education level, were more worried about COVID-19 infection risk, and did not trust vaccines.

CONCLUSIONS

A consensus emerged on who should be vaccinated first. Governments and policymakers should be aware of these preferences when designing and communicating vaccine allocation plans to predict and foster the public's acceptance of the COVID-19 vaccination programs created by experts.

Hierarchy Establishment in Growing Finishing Pigs: Impacts on Behavior, Growth Performance, and Physiological Parameters

In recent years, an increased number of studies have dealt with the analysis of social dominance related to animal behavior, physiology, and performance. This study aimed to investigate whether hierarchical ranking affects the coping style, non-social behavior during open field and novel object tests, performance, and physiological parameters of pigs. A total of 48 growing pigs (24 barrows and 24 females) were mixed three times during the growing-finishing period. The social and non-social behaviors of pigs were directly noted, and three behavioral tests were performed during the experimental period. Performance and physiological parameters were also recorded. Statistical analysis considered hierarchical classification (dominant vs. intermediary vs. subordinate) and p-values ≤ 0.05 were considered significant. After three regroupings, the pigs in different hierarchical classifications showed no change in hair cortisol values and open-field and novel object tests. Mean corpuscular hemoglobin concentration and leukocyte values increased in intermediary pigs, and the lowest counts were found in pigs classified as dominants. Furthermore, dominant pigs visited the feeder more but spent shorter time there compared to subordinate and intermediary pigs. Our results suggest that hierarchical classification influenced feeding behavior and physiological parameters without affecting cortisol values and growth performance, demonstrating a possible compensation skill.

Predictors of poor 6-week outcome in a cohort of major depressive disorder patients treated with antidepressant medication: the role of entrapment

BACKGROUND

Only a small number of consistent processes predict which depressed patients will achieve remission with antidepressant medication. One set of processes is that of social ranking strategies/variables that are related to life events and severe difficulties. Particularly, defeat and entrapment predict poorer response to antidepressants. However, results are inconsistent.

AIM

The current study aimed to evaluate evolutionary strategies, childhood maltreatment, neglect and life events and difficulties (LEDs) as predictors of remission in depressed patients undergoing pharmacological treatment in a psychiatric outpatient sample.

METHODS

A cohort of 139 depressed outpatients undergoing pharmacological treatment was followed prospectively in a naturalistic study for 6 weeks. Two major evaluations were considered at baseline and 6 weeks. We allocated patients to a pharmacological treatment algorithm for depression - the Texas Medication Algorithm Project. Variables evaluated at baseline and tested as predictors of remission included demographic and clinical data, severity of depression, social ranking, evolution informed variables, LEDs and childhood maltreatment.

RESULTS

Of the 139 patients, only 24.5% were remitted at week 6. In univariate analyses, non-remitted patients scored significantly higher in all psychopathology and vulnerability scales except for submissive behaviour and internal entrapment. For the logistic regression, a higher load of LEDs of the entrapment and humiliation dimension in the year before the index episode (OR = 6.62), and higher levels external entrapment in the Entrapment Scale (OR = 1.10) predicted non-remission. These variables accounted for 28.7% of the variance.

CONCLUSIONS

Multivariate analysis revealed that external entrapment was the only predictor of non-remission.