Good For You
Risk compensation during COVID-19: The impact of face mask usage on social distancing
Ashley Luckman et al.
Journal of Experimental Psychology: Applied, December 2021, Pages 722–738
Abstract:
To reduce the spread of COVID-19, governments around the world have recommended or required minimum physical distancing between individuals, as well as either mandating or recommending the use of face coverings (masks) in certain circumstances. When multiple risk reduction activities can be adopted, people may engage in risk compensation by responding to a reduced (perceived) risk exposure due to one activity by increasing risk exposure due to another. We tested for risk compensation in two online experiments that investigated whether either wearing a mask or seeing others wearing masks reduced physical distancing. We presented participants with stylized images of everyday scenarios involving themselves with or without a mask and a stranger with or without a mask. For each scenario, participants indicated the minimum distance they would keep from the stranger. In line with risk compensation, we found that participants indicated they would stand, sit, or walk closer to the stranger if either of them was wearing a mask. This form of risk compensation was stronger for those who believed masks were effective at preventing catching or spreading COVID-19, and for younger (18–40 years) compared to older (over 65 years) participants.
Association of Major Depressive Symptoms With Endorsement of COVID-19 Vaccine Misinformation Among US Adults
Roy Perlis et al.
JAMA Network Open, January 2022
Design, Setting, and Participants:
This survey study analyzed responses from 2 waves of a 50-state nonprobability internet survey conducted between May and July 2021, in which
depressive symptoms were measured using the Patient Health Questionnaire 9-item (PHQ-9). Survey respondents were aged 18 and older. Population-reweighted multiple logistic regression was used to examine the association between moderate or greater depressive symptoms and endorsement of at least 1 item of vaccine misinformation, adjusted for sociodemographic features. The association between depressive symptoms in May and June, and new support for misinformation in the following wave was also examined.
Results:
Among 15 464 survey respondents (9834 [63.6%] women and 5630 [36.4%] men; 722 Asian respondents [4.7%], 1494 Black respondents [9.7%], 1015 Hispanic respondents [6.6%], and 11 863 White respondents [76.7%]; mean [SD] age, 47.9 [17.5] years), 4164 respondents (26.9%) identified moderate or greater depressive symptoms on the PHQ-9, and 2964 respondents (19.2%) endorsed at least 1 vaccine-related statement of misinformation. Presence of depression was associated with increased likelihood of endorsing misinformation (crude odds ratio [OR], 2.33; 95% CI, 2.09-2.61; adjusted OR, 2.15; 95% CI, 1.91-2.43). Respondents endorsing at least 1 misinformation item were significantly less likely to be vaccinated (crude OR, 0.40; 95% CI, 0.36-0.45; adjusted OR, 0.45; 95% CI, 0.40-0.51) and more likely to report vaccine resistance (crude OR, 2.54; 95% CI, 2.21-2.91; adjusted OR, 2.68; 95% CI, 2.89-3.13). Among 2809 respondents who answered a subsequent survey in July, presence of depression in the first survey was associated with greater likelihood of endorsing more misinformation compared with the prior survey (crude OR, 1.98; 95% CI, 1.42-2.75; adjusted OR, 1.63; 95% CI, 1.14-2.33).
Risky but alluring: Severe COVID-19 pandemic influence increases risk taking
Claire Tsai & Ying Zeng
Journal of Experimental Psychology: Applied, December 2021, Pages 679–694
Abstract:
The COVID-19 pandemic has changed our lives to a profound extent. In this research, we examined how the pandemic might have influenced people’s general risk attitude in their daily lives. Across four studies (two preregistered) using U.S. online worker and Canadian university student samples, we observed that individuals who were severely affected by the pandemic showed higher risk taking toward a variety of risky activities than those who were less severely affected. We attributed this effect to elevated boredom levels and increased perceived benefits from taking risks among the severely affected group and provided supporting evidence. Data ruled out risk perception, income, employment status, and response biases as alternative explanations. Our findings shed light on the psychological consequences of the COVID-19 pandemic, decision under risk, the role of perceived benefits of risk taking, and effective policy interventions.
Did Ohio’s Vaccine Lottery Increase Vaccination Rates? A Pre-Registered, Synthetic Control Study
David Lang, Lief Esbenshade & Robb Willer
Journal of Experimental Political Science, forthcoming
Abstract:
Overcoming vaccine hesitancy is critical to containing the COVID-19 pandemic in the United States. To increase vaccination rates, the State of Ohio launched a million dollar lottery in May 2021. Following a pre-registered analysis, we estimate the effects of Ohio’s lottery program Vax-a-Million on COVID-19 vaccination rates by comparing it to a “synthetic control” composed of eight other states. We find a statistically insignificant 1.3% decrease in the full vaccination rate in Ohio at the end of the lottery period. We investigate the robustness of our conclusion to model specifications through a multiverse analysis of 216 possible models, including longer time periods and alternative vaccination measures. The majority (88%) find small negative effects in line with the results of our pre-registered model. While our results are most consistent with a decrease in vaccination rate, they do not allow a firm conclusion on whether the lottery increased or decreased vaccine uptake.
Stocks, flows, and risk response to pandemic data
Nicholas Reinholtz, Sam Maglio & Stephen Spiller
Journal of Experimental Psychology: Applied, December 2021, Pages 657–668
Abstract:
During the coronavirus disease 2019 (COVID-19) pandemic, data regarding new infections were commonly presented and used to guide policy decisions (e.g., whether to close schools) and personal choices (e.g., whether to dine at a restaurant). In this manuscript, we highlight a critical aspect of pandemic data that can pose a challenge for people trying to reason about it. Data on infections — like much time series data — can be presented as either stocks (the total number of cases) or flows (the number of new cases over some interval). We show that seeing the same data presented in one format versus the other can shift judgments of risk and behavioral intentions. Specifically, when participants were shown data that depicted the number of new cases each day (flow) decreasing, they judged the current risk of COVID-19 to be lower than participants who were shown the same data as the total (cumulative) number of cases (stock), which — by its nature — continued to increase. Risk appraisal, in turn, predicted a wide array of behavioral intentions (e.g., likelihood of dining indoors at a restaurant). Thus, the choice of how to present pandemic data can lead people to different conclusions about risk and can have practical consequences for risky behavior.
Lethal Unemployment Bonuses? Substitution and Income Effects on Substance Abuse, 2020-21
Casey Mulligan
NBER Working Paper, February 2022
Abstract:
Marginal prices fell, and disposable incomes increased, for drug and alcohol consumers during the pandemic. Most of the amount, timing, and composition of the 240,000 deaths involving alcohol and drugs since early 2020 can be explained by income effects and category-specific price changes. For alcohol, the pandemic shifted consumption from bars and restaurants to homes, where marginal money prices are lower. For more dangerous illegal drugs like fentanyl and methamphetamine, the full price of consumption also significantly fell whenever employment became financially less attractive, as it was while unemployment bonuses were elevated. Both the wage effect and income effects further reduced marginal opioid prices by inducing shifts toward cheap fentanyl. Drug mortality dipped in the months between the $600 and $300 bonuses, especially for age groups participating most in UI. A corollary to this analysis is that national employment rates will be slow to recover due to the increased prevalence of alcohol and, especially, drug addiction.
Abstinence-Contingent Wage Supplements to Promote Drug Abstinence and Employment: Post-Intervention Outcome
Matthew Novak et al.
Drug and Alcohol Dependence, forthcoming
Methods:
Unemployed adults enrolled in opioid agonist treatment were randomly assigned to an abstinence-contingent wage supplement group (n = 44) or a usual care control group (n = 47). All participants could work with an employment specialist throughout a 12-month intervention period. Those in the abstinence-contingent wage supplement group earned stipends for working with the employment specialist and, after gaining employment, abstinence-contingent wage supplements for working in their community job but had to provide opiate- and cocaine-negative urine samples to maximize pay. To assess post-intervention effects of abstinence-contingent wage supplements and compare those effects to during-intervention effects, we analyzed urine samples and self-reports every 3 months during the 12-month intervention and the 12-month post-intervention period.
Results:
During the intervention, abstinence-contingent wage supplement participants provided significantly more opiate- and cocaine-negative urine samples than usual care control participants; abstinence-contingent wage supplement participants were also significantly more likely to become employed and live out of poverty than usual care participants during intervention. During the post-intervention period, the abstinence-contingent wage supplement and usual care control groups had similar rates of drug abstinence, similar levels of employment, and similar proportions living out of poverty.
Have Recreational Marijuana Laws Undermined Public Health Progress on Adult Tobacco Use?
Dhaval Dave et al.
NBER Working Paper, January 2022
Abstract:
Public health experts caution that legalization of recreational marijuana may normalize smoking and undermine the decades-long achievements of tobacco control policy. However, very little is known about the impact of recreational marijuana laws (RMLs) on adult tobacco use. Using information from four national datasets (National Survey of Drug Use and Health, Behavioral Risk Factor Surveillance System, Current Population Survey-Tobacco Use Supplements, and Population Assessment of Tobacco and Health) and dynamic difference-in-differences and discrete-time hazard approaches, we find little support for the hypothesis that RML enactment leads to increases in adult tobacco use. In the short-run, RMLs have no effect on tobacco use and in the medium-run, we find some evidence of a lagged reduction in tobacco use on the order of approximately 0.5 to 2 percentage points. This finding generally persists across cigarettes and e-cigarettes, is robust to event-study analyses generated from estimators designed to expunge bias due to heterogeneous dynamic treatment effects, and persists in panel data-based survival analyses that account for consumption dynamics. We conclude that fears of adult tobacco-related public health costs from RMLs are, at least in the short- and medium-run, unfounded; instead, there may be important public health benefits from reductions in adult tobacco use.
Does Quitting Smoking Increase Obesity? Evidence From Accounting for Misreporting
Rusty Tchernis, Keith Teltser & Arjun Teotia
NBER Working Paper, January 2022
Abstract:
Smoking and obesity are the two leading causes of preventable deaths in the United States. Because smoking is subject to heavy government intervention, understanding the effect of smoking on obesity is important in determining the extent of unintended costs or benefits of such intervention. The existing literature on this question is mixed among studies using experimental and observational data, which we attempt to reconcile by accounting for misreporting in observational data. We use self-reported data from the Behavioral Risk Factor Surveillance System (BRFSS), cigarette taxes to instrument for changes in smoking, and survey completion to instrument for misreporting. Starting with the baseline two-stage least squares (2SLS) estimator common in the earlier observational literature, we obtain similar estimates suggesting quitting smoking substantially reduces BMI. However, we find the results are sensitive to specification, functional form, and the presence of misreporting. We show that accounting for misreporting using the 2-step estimator developed by Nguimkeu et al. (2019) yields estimates consistent with the experimental literature; quitting smoking has a small positive effect on BMI. Our preferred estimate suggests reduced smoking accounts for 6% of the concurrent rise in obesity.
Would you eat a burger made in a petri dish? Why people feel disgusted by cultured meat
Daniel Rosenfeld & Janet Tomiyama
Journal of Environmental Psychology, forthcoming
Abstract:
Cultured meat — real animal flesh produced from in vitro cell cultures, without the need to raise animals — is now poised to become publicly available. Compared to conventional meat, cultured meat offers environmental benefits in its production using less water and yielding fewer greenhouse gas emissions. However, many people find cultured meat too disgusting to eat. Through three preregistered studies (total N = 1587), we investigated disgust toward cultured meat. An estimated 35% of meat-eaters and 55% of vegetarians felt too disgusted by cultured meat to try eating it. Perceiving cultured meat as unnatural predicted more disgust among both vegetarians and meat-eaters. Meanwhile, perceiving cultured meat as resembling animal flesh predicted less disgust among meat-eaters but more disgust among vegetarians. Experimentally framing cultured meat as resembling animal flesh decreased disgust among meat-eaters but not among vegetarians. These findings can guide efforts to improve consumer acceptance of cultured meat.
Exercise Increases Attentional Bias Towards Food Cues in Individuals Classified as Overweight to Obese
Kyle Flack et al.
Physiology & Behavior, forthcoming
Methods:
Thirty adults classified as overweight to obese participated in a counterbalanced, crossover trial featuring two assessment visits on separate days separated by at least one week. Attentional bias and inhibitory control towards food cues was assessed prior to and after a bout of exercise where participants expended 500 kcal (one assessment visit) and before and after a 60-minute bout of watching television (second assessment visit). Attentional bias was conceptualized as the percentage of time fixated on food cues when both food and neutral (non-food) cues were presented during a food-specific dot-probe task. Inhibitory control, specifically motor impulsivity, was assessed as percentage of inhibitory failures during a food-specific Go/NoGo task.
Results:
A significant condition by time effect was observed for attentional bias towards food cues, independent of hunger, whereas attentional bias towards food cues was increased pre-post exercise but not after watching TV. Inhibitory control was not affected by exercise or related to attentional bias for food cues.
Chewing increases postprandial diet-induced thermogenesis
Yuka Hamada & Naoyuki Hayashi
Scientific Reports, December 2021
Abstract:
Slow eating, which involves chewing food slowly and thoroughly, is an effective strategy for controlling appetite in order to avoid being overweight or obese. Slow eating also has the effect of increasing postprandial energy expenditure (diet-induced thermogenesis). It is still unclear whether this is due to oral stimuli; that is, the duration of tasting food in the mouth and the duration of chewing. To investigate the effects of oral stimuli on diet-induced thermogenesis in 11 healthy normal weight males, we conducted a randomized crossover study comprising three trials: (1) drinking liquid food normally, (2) drinking liquid food after tasting, and (3) adding chewing while tasting. Oral stimuli (i.e., the duration of tasting liquid food in the mouth and the duration of chewing) significantly increased diet-induced thermogenesis after drinking liquid food. This result demonstrates that the increase in diet-induced thermogenesis is due to oral stimuli rather than the influence of the food bolus. Increased diet-induced thermogenesis induced by chewing and taste stimuli may help to prevent overweight and obesity.
Tracking cryptic SARS-CoV-2 lineages detected in NYC wastewater
Davida Smyth et al.
Nature Communications, February 2022
Abstract:
Tracking SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To monitor New York City (NYC) for the presence of novel variants, we deep sequence most of the receptor binding domain coding sequence of the S protein of SARS-CoV-2 isolated from the New York City wastewater. Here we report detecting increasing frequencies of novel cryptic SARS-CoV-2 lineages not recognized in GISAID’s EpiCoV database. These lineages contain mutations that had been rarely observed in clinical samples, including Q493K, Q498Y, E484A, and T572N and share many mutations with the Omicron variant of concern. Some of these mutations expand the tropism of SARS-CoV-2 pseudoviruses by allowing infection of cells expressing the human, mouse, or rat ACE2 receptor. Finally, pseudoviruses containing the spike amino acid sequence of these lineages were resistant to different classes of receptor binding domain neutralizing monoclonal antibodies. We offer several hypotheses for the anomalous presence of these lineages, including the possibility that these lineages are derived from unsampled human COVID-19 infections or that they indicate the presence of a non-human animal reservoir.