Building Positive Organizations: A Typology of Positive Psychology Interventions

Research indicates that Positive Psychology Interventions (PPIs) in the work context have a small positive impact on improving desirable work outcomes, and a small to moderate effect on reducing undesirable work outcomes, suggesting that the effects of PPIs are not trivial, but also not large. Whereas this may be related to the difficulty of changing oneself or one’s happiness levels, the relatively small effects of PPIs may also be due to the predominant use of one-off interventions instead of more structural interventions that reflect policy level commitment. Furthermore, since most PPIs tend to focus on the individual, one could question the long-term effectiveness of such interventions, especially when the work environment remains unchanged. In this manuscript, I introduce a typology of PPIs in organizations by distinguishing between the organizational level they target (the individual or group level), and between one-off and structural interventions. I argue that different types of interventions can strengthen each other, and that to make a sustainable contribution to the optimal functioning of workers, PPIs need to comprise a wide variety of one-off and structural interventions targeting both individuals and groups in organizations. Furthermore, I make suggestions for improving the long-term effectiveness of PPIs by drawing on the literature on transfer of training, nudging, and positive design.

Fraction of COVID-19 hospitalizations and deaths attributable to chronic diseases

Aim. To estimate the fraction of hospitalizations and deaths from COVID-19 attributable to chronic diseases due to poor nutrition and smoking in Mexico. Methods. We used data from the Mexican surveillance system of COVID-19. We considered six chronic diseases (obesity, COPD, hypertension, diabetes, cardiovascular disease, and chronic kidney disease) to define a multimorbidity variable: no diseases, 1 disease, 2 diseases, or 3 or more diseases. We calibrated the database using bias quantification methods to consider the undiagnosed cases of chronic diseases. To estimate the risks of hospitalization and death due to chronic diseases, we fitted Poisson regression models with robust standard errors, adjusting for possible confounders. Using these risks, we calculated attributable fractions using the population attributable fraction (PAF). Results. Chronic diseases accounted for to 25.4% (24.8%, 26.1%), 28.3% (27.8%, 28.7%) and 15.3% (14.9%,15.7%) of the hospitalizations among adults below 40 years, 40 to 59, and 60 years and older respectively (95% CI). For COVID-19-related deaths, 50.1% (48.6%, 51.5%), 40.5% (39.7%, 41.3%), and 18.7% (18.0%, 19.5%) were attributable to chronic diseases in adults under 40 years, 40 to 59, and 60 years and older, respectively. Conclusion. Chronic diseases linked to malnutrition and tobacco use contributed to a higher burden of hospitalization and deaths from COVID-19 in Mexico, particularly among younger adults. Medical and structural interventions to curb chronic disease incidence and facilitate disease control are urgently needed.

A system dynamics approach to examining household food insecurity

Household food security is influenced by the socio-political environment, resource access, and experiential factors, but the systemic interactions of these drivers are rarely considered in the same study. In collaboration with stakeholders, we built a system dynamics model to examine the drivers of food insecurity in Detroit and how community-led interventions could promote food security. We found that single interventions were not as effective as multiple interventions in combination, due to the complex limits on a households’ ability to purchase healthy foods. The iterative modeling process allowed stakeholders to jointly understand and generate insights into the cross-scale limits that households must navigate in order to achieve food security. Furthermore, our modeling effort demonstrates how time is a fundamental resource stock that limits the efficacy of behavioral and structural interventions.

Prejudice Reduction: Progress and Challenges

The past decade has seen rapid growth in research that evaluates methods for reducing prejudice. This essay reviews 418 experiments reported in 309 manuscripts from 2007 to 2019 to assess which approaches work best and why. Our quantitative assessment uses meta-analysis to estimate average effects. Our qualitative assessment calls attention to landmark studies that are noteworthy for sustained interventions, imaginative measurement, and transparency. However, 76% of all studies evaluate light touch interventions, the long-term impact of which remains unclear. The modal intervention uses mentalizing as a salve for prejudice. Although these studies report optimistic conclusions, we identify troubling indications of publication bias that may exaggerate effects. Furthermore, landmark studies often find limited effects, which suggests the need for further theoretical innovation or synergies with other kinds of psychological or structural interventions. We conclude that much research effort is theoretically and empirically ill-suited to provide actionable, evidence-based recommendations for reducing prejudice.