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How did Donald Trump become the preeminent figure in American politics over the past decade, and why has the Democratic Party struggled to extinguish his threat despite his unpopularity and the unpopularity of his policies? The answer lies in an area that liberal political strategists have not focused on and political scientists have neglected: the politics of dominance. While twenty-first-century liberals have focused on offering more attractive policies, illiberal leaders such as Trump have grasped that politics is a dominance competition. “High-dominance” leaders strive to make opinion, embrace us-versus-them framing, double down on provocative statements and positions, stay on the offensive, take risks, and use entertaining, provocative language. “Low-dominance” leaders study polls and tell voters what they think they want to hear, fear “othering” opponents, walk back or qualify controversial statements, play defense, abhor risk, and use bromidic language. Restoring the dominance advantage the Democrats enjoyed at times during the twentieth century is a key to defeating Trumpism.
It remains unclear which individuals with subthreshold depression benefit most from psychological intervention, and what long-term effects this has on symptom deterioration, response and remission.
Aims
To synthesise psychological intervention benefits in adults with subthreshold depression up to 2 years, and explore participant-level effect-modifiers.
Method
Randomised trials comparing psychological intervention with inactive control were identified via systematic search. Authors were contacted to obtain individual participant data (IPD), analysed using Bayesian one-stage meta-analysis. Treatment–covariate interactions were added to examine moderators. Hierarchical-additive models were used to explore treatment benefits conditional on baseline Patient Health Questionnaire 9 (PHQ-9) values.
Results
IPD of 10 671 individuals (50 studies) could be included. We found significant effects on depressive symptom severity up to 12 months (standardised mean-difference [s.m.d.] = −0.48 to −0.27). Effects could not be ascertained up to 24 months (s.m.d. = −0.18). Similar findings emerged for 50% symptom reduction (relative risk = 1.27–2.79), reliable improvement (relative risk = 1.38–3.17), deterioration (relative risk = 0.67–0.54) and close-to-symptom-free status (relative risk = 1.41–2.80). Among participant-level moderators, only initial depression and anxiety severity were highly credible (P > 0.99). Predicted treatment benefits decreased with lower symptom severity but remained minimally important even for very mild symptoms (s.m.d. = −0.33 for PHQ-9 = 5).
Conclusions
Psychological intervention reduces the symptom burden in individuals with subthreshold depression up to 1 year, and protects against symptom deterioration. Benefits up to 2 years are less certain. We find strong support for intervention in subthreshold depression, particularly with PHQ-9 scores ≥ 10. For very mild symptoms, scalable treatments could be an attractive option.
Using the dual-pathway framework (Beach et al., 2022a), we tested a Neuro-immune Network (NIN) hypothesis: i.e., that chronically elevated inflammatory processes may have delayed (i.e., incubation) effects on young adult substance use, leading to negative health outcomes. In a sample of 449 participants in the Family and Community Health Study who were followed from age 10 to age 29, we examined a non-self-report index of young adult elevated alcohol consumption (EAC). By controlling self-reported substance use at the transition to adulthood, we were able to isolate a significant delayed (incubation) effect from childhood exposure to danger to EAC (β = −.157, p = .006), which contributed to significantly worse aging outomes. Indirect effects from danger to aging outcomes via EAC were: GrimAge (IE = .010, [.002, .024]), Cardiac Risk (IE = −.004, [−.011, −.001]), DunedinPACE (IE = .002, [.000, .008]). In exploratory analyses we examined potential sex differences in effects, showing slightly stronger incubation effects for men and slightly stronger effects of EAC on aging outcomes for women. Results support the NIN hypothesis that incubation of immune pathway effects contributes to elevated alcohol consumption in young adulthood, resulting in accelerated aging and elevated cardiac risk outcomes via health behavior.
Objectives/Goals: Manual skin assessment in chronic graft-versus-host disease (cGVHD) can be time consuming and inconsistent (>20% affected area) even for experts. Building on previous work we explore methods to use unmarked photos to train artificial intelligence (AI) models, aiming to improve performance by expanding and diversifying the training data without additional burden on experts. Methods/Study Population: Common to many medical imaging projects, we have a small number of expert-marked patient photos (N = 36, n = 360), and many unmarked photos (N = 337, n = 25,842). Dark skin (Fitzpatrick type 4+) is underrepresented in both sets; 11% of patients in the marked set and 9% in the unmarked set. In addition, a set of 20 expert-marked photos from 20 patients were withheld from training to assess model performance, with 20% dark skin type. Our gold standard markings were manual contours around affected skin by a trained expert. Three AI training methods were tested. Our established baseline uses only the small number of marked photos (supervised method). The semi-supervised method uses a mix of marked and unmarked photos with human feedback. The self-supervised method uses only unmarked photos without any human feedback. Results/Anticipated Results: We evaluated performance by comparing predicted skin areas with expert markings. The error was given by the absolute difference between the percentage areas marked by the AI model and expert, where lower is better. Across all test patients, the median error was 19% (interquartile range 6 – 34) for the supervised method and 10% (5 – 23) for the semi-supervised method, which incorporated unmarked photos from 83 patients. On dark skin types, the median error was 36% (18 – 62) for supervised and 28% (14 – 52) for semi-supervised, compared to a median error on light skin of 18% (5 – 26) for supervised and 7% (4 – 17) for semi-supervised. Self-supervised, using all 337 unmarked patients, is expected to further improve performance and consistency due to increased data diversity. Full results will be presented at the meeting. Discussion/Significance of Impact: By automating skin assessment for cGVHD, AI could improve accuracy and consistency compared to manual methods. If translated to clinical use, this would ease clinical burden and scale to large patient cohorts. Future work will focus on ensuring equitable performance across all skin types, providing fair and accurate assessments for every patient.
Older adults have largely been excluded from health research despite bearing a disproportionate disease burden. The Community Engagement Studio (CES) model, initially developed at Vanderbilt University in 2009, allows potential research participants to help shape research to promote greater inclusion. The University of Pittsburgh adapted the CES model for older adults (OA-CES). Tailored specifically to older adults, OA-CES addresses underrepresentation in research by gathering valuable feedback that allows investigators to make research more accessible and relevant to older people. An OA-CES toolkit will help in adapting the model in other research areas to close the gap in research inclusion.
Patients with Opioid Use Disorder (OUD) are prone to Multidrug-Resistant Organism (MDRO) colonization and infections, thus at risk for worse outcomes during critical illness. Understanding the prevalence and predictors of MDRO infections is essential to optimize interventions and treatments.
Design:
Retrospective cohort study.
Methods:
The study evaluated the prevalence of MDRO isolation among adults with OUD admitted to an intensive care unit (ICU) between January 1, 2018, and July 31, 2023. It included adults admitted to an ICU with bacterial infections and positive cultures obtained within 48 hours of admission. Demographics, clinical traits, and MDRO isolation rates were analyzed using descriptive statistics, univariate methods, and Least Absolute Shrinkage and Selection Operator (LASSO) regression.
Results:
MDRO isolation occurred in 178 of 790 patients (22.5%), with methicillin-resistant Staphylococcus aureus as the most frequently isolated organism. LASSO regression identified housing insecurity (OR: 1.79, 95% CI 1.09–2.93, P = .022), no receipt of medications for OUD treatment (OR: 1.56, 95% CI 1.06–2.29, P = .023), positive hepatitis C virus (HCV) status (OR: 2.19, 95% CI 1.19–4.03, P = .012), and intravenous antibiotic use in the prior 90 days (OR: 1.04 per 24 h, 95% CI 1.01–1.07, P = .007) as significant predictors of MDRO isolation.
Conclusions:
The study highlights a high prevalence of MDRO isolation in critically ill OUD patients admitted for infection-related issues with positive cultures obtained within 48 hours of admission, influenced by factors like housing insecurity, no receipt of medications for OUD treatment, HCV status, and prior antibiotic use.
Improvements to agricultural sustainability are required to maintain productivity in the face of ongoing global challenges, and growers need multiple kinds of support to adopt new sustainability practices and transform cropping systems. Farms are socio-ecological systems, and developing such systems requires tandem changes to human and nonhuman systems. This study evaluates agricultural sustainability practices and perception in the Oregon hazelnut industry, a small, intensified, and rapidly growing orchard production system in the United States. Using a mixed methods approach based on participant observation and an online survey of hazelnut growers in the spring of 2023, we found that growers were widely receptive to the sustainability messaging of industry groups and had widespread adoption of certain sustainability practices including disease-resistant tree varieties and changes in pesticide use, among other practices promoted by researchers. Larger hazelnut growers were more likely to adopt the sustainability practices in our survey, especially certain pest management practices. Growers with older hazelnut orchards turned to more sources of information but also perceived more barriers to implementing new sustainability practices than growers with younger orchards. Growers voiced different opinions about sustainability costs, with some growers expressing economic concerns about sustainability practices and others recognizing the financial benefits of sustainability practices. Differences in the perceived importance of short- and long-term benefits framed some of these concerns about the costs and benefits of sustainability practices. We argue that successful sustainability outreach will address both the short-term economic benefits of certain practices and the long-term sustainability benefits. Growers widely recognize the importance of sustainability, but more messaging about the multiple benefits of sustainability practices can better address both environmental and economic concerns.
The governance of farm animal welfare is led, in certain countries and sectors, by industry organisations. The aim of this study was to analyse the legitimacy of industry-led farm animal welfare governance focusing on two examples: the Code of Practice for the Care and Handling of Dairy Cattle and the Animal Care module of the proAction programme in Canada, and the Animal Care module of the Farmers Assuring Responsible Management (FARM) programme in the United States (US). Both are dairy cattle welfare governance programmes led by industry actors who create the standards and audit farms for compliance. We described the normative legitimacy of these systems, based on an input, throughput, and output framework, by performing a document analysis on publicly available information from these organisations’ websites and found that the legitimacy of both systems was enhanced by their commitment to science, the presence of accountability systems to enforce standards, and wide participation by dairy farms. The Canadian system featured more balanced representation, and their standard development process uses a consensus-based model, which bolsters legitimacy compared to the US system. However, the US system was more transparent regarding audit outcomes than the Canadian system. Both systems face challenges to their legitimacy due to heavy industry representation and limited transparency as to how public feedback is addressed in the standards. These Canadian and US dairy industry standards illustrate strengths and weakness of industry-led farm animal welfare governance.
Prior research has demonstrated that the ability to express one’s views or “voice” matters in social and economic interactions, but little is known of the mechanisms through which voice operates. Using an experimental approach based on the ultimatum game with the strategy method, we explore four potential channels for voice that encompass and expand on prior work: the knowledge effect of voice, the value expressive (or inherent value) of voice, the expectation effect of voice, and the procedural fairness effects of voice. Our results show strong effects through the value expressive and expectation channel, but not through either the knowledge channel or procedural fairness. In our view, voice is powerful because people like to express their views and they are disappointed when their views did not make a difference in their outcomes.
Since the 1980s, the study of opinions towards immigration has grown exponentially throughout European scholarship. Most existing studies, however, are limited in their scope and do not specifically refer to an aggregate phenomenon, but rather an individual one. This study seeks to establish empirically whether aggregate public immigration preferences across 13 European democracies relate systematically to national socio-political indicators or other underlying societal mechanics. Particularly, we analyze four mechanisms more in-depth, namely the predictive values of economic deprivation, immigration policy, immigration flows and the political environment. To do so we rely on country-level level data and update a unique dataset of immigration opinions. We find that (ii) economic deprivation is an important correlate of more restrictive immigration opinions, (ii) immigration opinions respond thermostatically to immigration policy, (iii) the non-asylum inflow of foreigners further restricts immigration opinions, and (iv) the immigration positions of government and opposition parties have antithetical effects on immigration opinions.
Reducing antimicrobial exposure by limiting the duration of therapy is an effective antimicrobial stewardship strategy. In this article, we describe the impact of modification of the electronic health record to remove default durations of therapy on ambulatory antibiotic prescriptions issued from emergency departments in a large, multicenter health system.
Negative symptoms are a key feature of several psychiatric disorders. Difficulty identifying common neurobiological mechanisms that cut across diagnostic boundaries might result from equifinality (i.e., multiple mechanistic pathways to the same clinical profile), both within and across disorders. This study used a data-driven approach to identify unique subgroups of participants with distinct reward processing profiles to determine which profiles predicted negative symptoms.
Methods
Participants were a transdiagnostic sample of youth from a multisite study of psychosis risk, including 110 individuals at clinical high-risk for psychosis (CHR; meeting psychosis-risk syndrome criteria), 88 help-seeking participants who failed to meet CHR criteria and/or who presented with other psychiatric diagnoses, and a reference group of 66 healthy controls. Participants completed clinical interviews and behavioral tasks assessing four reward processing constructs indexed by the RDoC Positive Valence Systems: hedonic reactivity, reinforcement learning, value representation, and effort–cost computation.
Results
k-means cluster analysis of clinical participants identified three subgroups with distinct reward processing profiles, primarily characterized by: a value representation deficit (54%), a generalized reward processing deficit (17%), and a hedonic reactivity deficit (29%). Clusters did not differ in rates of clinical group membership or psychiatric diagnoses. Elevated negative symptoms were only present in the generalized deficit cluster, which also displayed greater functional impairment and higher psychosis conversion probability scores.
Conclusions
Contrary to the equifinality hypothesis, results suggested one global reward processing deficit pathway to negative symptoms independent of diagnostic classification. Assessment of reward processing profiles may have utility for individualized clinical prediction and treatment.
Although atypical antipsychotics have lowered the prevalence and severity of extrapyramidal symptoms (EPS), they still contribute to the overall side-effect burden of approved antipsychotics. Drugs with novel mechanisms without D2 dopamine receptor blocking activity have shown promise in treating schizophrenia without the side effects of currently available treatments. KarXT (xanomeline–trospium chloride) represents a possible alternative that targets muscarinic receptors. KarXT demonstrated efficacy compared with placebo in 3 out of 3 short-term acute studies and has not been associated with many of the side effects of D2 dopamine receptor antagonists. Here, we further characterize EPS rates with KarXT in these trials.
Methods
EMERGENT-1 (NCT03697252), EMERGENT-2 (NCT04659161), and EMERGENT-3 (NCT04738123) were 5-week, randomized, double-blind, placebo-controlled, inpatient trials in people with schizophrenia experiencing acute psychosis. Data from the safety populations, defined as all participants who received ³1 dose of trial medication, were pooled. For this analysis, we used a broader definition of EPS-related adverse events (AEs) to encompass any new onset of dystonia, dyskinesia, akathisia, or extrapyramidal disorder reported any time after the first dose of medication. Additionally, EPS were assessed by examining change from baseline to week 5 on the Simpson-Angus Scale (SAS), Barnes Akathisia Rating Scale (BARS), and Abnormal Involuntary Movement Scale (AIMS).
Results
A total of 683 participants (KarXT, n=340; placebo, n=343) were included in the analyses. The rate of treatment-emergent AEs (TEAEs) associated with EPS was 3.2% in the KarXT group vs 0.9% in the placebo group. The most commonly reported TEAE was akathisia (KarXT, 2.4%; placebo 0.9%); half of possible akathisia cases in the KarXT group (4/8 TEAEs) were from a single US site, considered by the investigator to be unrelated to trial drug, and resolved without treatment. Overall rates of akathisia TEAEs deemed related to trial drug were low (KarXT, 0.6%; placebo 0.3%). Dystonia, dyskinesia, and extrapyramidal disorder TEAEs were reported by only a single subject each (0.3%) in the KarXT arm. All reported TEAEs were mild to moderate in severity. KarXT was associated with no clinically meaningful mean±SD changes from baseline to week 5 on the SAS (-0.1±0.6), BARS (-0.1±0.9), or AIMS (0.0±0.7).
Conclusions
The incidence of EPS-related TEAEs with KarXT was low in comparison to those observed in similar trials of antipsychotics (D2 dopamine receptor antagonists), although head-to-head studies have not been completed. Moreover, KarXT was not associated with increased scores on EPS scales (SAS, BARS, AIMS) across 5 weeks of treatment. These results, combined with the robust efficacy of KarXT in trials to date, suggest that KarXT’s novel mechanism of action may provide therapeutic benefit in the absence of EPS frequently associated with currently available antipsychotics.
In prior studies, the dual M1/M4 preferring muscarinic receptor agonist xanomeline demonstrated antipsychotic activity in people with schizophrenia and Alzheimer’s disease, but its further clinical development was limited primarily by gastrointestinal side effects. KarXT combines xanomeline and the peripherally restricted muscarinic receptor antagonist trospium chloride. KarXT is designed to preserve xanomeline’s beneficial central nervous system effects while mitigating adverse events (AEs) due to peripheral muscarinic receptor activation. The efficacy and safety of KarXT in schizophrenia was demonstrated in the 5-week, randomized, double-blind, placebo-controlled EMERGENT-1 (NCT03697252), EMERGENT-2 (NCT04659161), and EMERGENT-3 (NCT04738123) trials.
Methods
The EMERGENT trials enrolled people with a recent worsening of positive symptoms warranting hospitalization, Positive and Negative Syndrome Scale total score ≥80, and Clinical Global Impression–Severity score ≥4. Eligible participants were randomized 1:1 to KarXT or placebo. KarXT dosing (xanomeline/trospium) started at 50 mg/20 mg twice daily (BID) and increased to a maximum of 125 mg/30 mg BID. Safety was assessed by monitoring for spontaneous AEs after administration of the first dose of trial drug until the time of discharge on day 35. Data from the EMERGENT trials were pooled, and all safety analyses were conducted in the safety population, defined as all participants who received ≥1 dose of trial drug.
Results
A total of 683 participants (KarXT, n=340; placebo, n=343) were included in the pooled safety analyses. Across the EMERGENT trials, 51.8% of people in the KarXT group compared with 29.4% in the placebo group reported ≥1 treatment-related AE. The most common treatment-relatedAEs occurring in ≥5% of participants receiving KarXT and at a rate at least twice that observed in the placebo group were nausea (17.1% vs 3.2%), constipation (15.0% vs 5.2%), dyspepsia (11.5% vs 2.3%), vomiting (10.9% vs 0.9%), and dry mouth (5.0% vs 1.5%). The most common treatment-related AEs in the KarXT group were all mild or moderate in severity.
Conclusions
In pooled analyses from the EMERGENT trials, KarXT was generally well tolerated in people with schizophrenia experiencing acute psychosis. These findings, together with the efficacy results showing a clinically meaningful reduction in the symptoms of schizophrenia, support the potential of KarXT to be the first in a new class of antipsychotic medications based on muscarinic receptor agonism and a well-tolerated alternative to currently available antipsychotics.
Prior studies demonstrated the antipsychotic activity of the dual M1/M4 preferring muscarinic receptor agonist xanomeline in people with schizophrenia and Alzheimer’s disease, but its further clinical development was limited primarily by gastrointestinal side effects. KarXT combines xanomeline and the peripherally restricted muscarinic receptor antagonist trospium chloride. KarXT is designed to preserve xanomeline’s beneficial central nervous system effects while mitigating side effects due to peripheral muscarinic receptor activation. The efficacy and safety of KarXT in schizophrenia were demonstrated in the 5-week, randomized, double-blind, placebo-controlled EMERGENT-1 (NCT03697252), EMERGENT-2 (NCT04659161), and EMERGENT-3 (NCT04738123) trials.
Methods
The EMERGENT trials randomized people with a recent worsening of positive symptoms warranting hospitalization, Positive and Negative Syndrome Scale (PANSS) total score ≥80, and Clinical Global Impression–Severity (CGI-S) score ≥4. KarXT dosing (xanomeline/trospium) started at 50 mg/20 mg twice daily (BID) and increased to a maximum of 125 mg/30 mg BID. In each trial, the primary efficacy endpoint was change from baseline to week 5 in PANSS total score. Other efficacy measures included change from baseline to week 5 in PANSS positive subscale, PANSS negative subscale, PANSS Marder negative factor, and CGI-S scores. Data from the EMERGENT trials were pooled, and efficacy analyses were conducted in the modified intent-to-treat population, defined as all randomized participants who received ≥1 trial drug dose and had a baseline and ≥1 postbaseline PANSS assessment.
Results
The pooled analyses included 640 participants (KarXT, n=314; placebo, n=326). Across trials, KarXT was associated with a significantly greater reduction in PANSS total score at week 5 compared with placebo (KarXT, -19.4; placebo, -9.6 [least squares mean (LSM) difference, -9.9; 95% CI, -12.4 to -7.3; P<0.0001; Cohen’s d, 0.65]). At week 5, KarXT was also associated with a significantly greater reduction than placebo in PANSS positive subscale (KarXT, -6.3; placebo, -3.1 [LSM difference, -3.2; 95% CI, -4.1 to -2.4; P<0.0001; Cohen’s d, 0.67]), PANSS negative subscale (KarXT, -3.0; placebo, -1.3 [LSM difference, -1.7; 95% CI, -2.4 to -1.0; P<0.0001; Cohen’s d, 0.40]), PANSS Marder negative factor (KarXT, -3.8; placebo, -1.8 [LSM difference, -2.0; 95% CI, -2.8 to -1.2; P<0.0001; Cohen’s d, 0.42]), and CGI-S scores (KarXT, -1.1; placebo, -0.5 [LSM difference, -0.6; 95% CI, -0.8 to -0.4; P<0.0001; Cohen’s d, 0.63]).
Conclusions
In pooled analyses from the EMERGENT trials, KarXT demonstrated statistically significant improvements across efficacy measures with consistent and robust effect sizes. These findings support the potential of KarXT to be first in a new class of medications to treat schizophrenia based on muscarinic receptor agonism and without any direct dopamine D2 receptor blocking activity.
We compared the Institute for Clinical and Economic Review’s (ICER) ratings of comparative clinical effectiveness with the German Federal Joint Committee’s (G-BA) added benefit ratings, and explored what factors, including the evidence base, may explain disagreement between the two organizations.
Methods
Drugs were included if they were assessed by ICER under its 2020–2023 Value Assessment Framework and had a corresponding assessment by G-BA as of March 2023 for the same indication, patient population, and comparator drug. To compare assessments, we modified ICER’s proposed crosswalk between G-BA and ICER benefit ratings to account for G-BA’s extent and certainty ratings. We also determined whether each assessment pair was based on similar or dissimilar evidence. Assessment pairs exhibiting disagreement based on the modified crosswalk despite a similar evidence base were qualitatively analyzed to identify reasons for disagreement.
Results
We identified 15 assessment pairs and seven out of fifteen were based on similar evidence. G-BA and ICER assessments disagreed for each of these drugs. For 4/7 drugs, G-BA (but not ICER) determined the evidence was unsuitable for assessment: for 2/4 drugs, G-BA concluded the key trials did not appropriately assess the comparator therapy; for 1/4, G-BA did not accept results of a before-and-after study due to non-comparable study settings; for 1/4, G-BA determined follow-up in the key trial was too short. Among assessment pairs where both organizations assessed the evidence, reasons for disagreement included concerns about long-term safety, generalizability, and study design.
Conclusions
This study underscores the role of value judgments within assessments of clinical effectiveness. These judgments are not always transparently presented in assessment summaries. The lack of clarity regarding these value-based decisions underscores the need for improvements in transparency and communication, which are essential for promoting a more robust health technology assessment process and supporting transferability of assessments across jurisdictions.
Constrained fourth-order latent differential equation (FOLDE) models have been proposed (e.g., Boker et al. 2020) as alternative to second-order latent differential equation (SOLDE) models to estimate second-order linear differential equation systems such as the damped linear oscillator model. When, however, only a relatively small number of measurement occasions T are available (i.e., T = 50), the recommendation of which model to use is not clear (Boker et al. 2020). Based on a data set, which consists of T = 56 observations of daily stress for N = 44 individuals, we illustrate that FOLDE can help to choose an embedding dimension, even in the case of a small T. This is of great importance, as parameter estimates depend on the embedding dimension as well as on the latent differential equations model. Consequently, the wavelength as quantity of potential substantive interest may vary considerably. We extend the modeling approaches used in past research by including multiple subjects, by accounting for individual differences in equilibrium, and by including multiple instead of one single observed indicator.
The new software package OpenMx 2.0 for structural equation and other statistical modeling is introduced and its features are described. OpenMx is evolving in a modular direction and now allows a mix-and-match computational approach that separates model expectations from fit functions and optimizers. Major backend architectural improvements include a move to swappable open-source optimizers such as the newly written CSOLNP. Entire new methodologies such as item factor analysis and state space modeling have been implemented. New model expectation functions including support for the expression of models in LISREL syntax and a simplified multigroup expectation function are available. Ease-of-use improvements include helper functions to standardize model parameters and compute their Jacobian-based standard errors, access to model components through standard R $ mechanisms, and improved tab completion from within the R Graphical User Interface.
The connection between populism and democracy is widely researched. Most of the literature focuses on populist actors (e.g., parties, leaders, and governments) as it examines the intricacies of this relationship. Some of the resulting takeaways have become embedded firmly in scholarship and are currently considered accepted knowledge across the discipline. Scholars have only recently started focusing on the individual-level relationship between populism and democracy. As a result, our knowledge remains limited and is often based on the assumption that what holds for populist actors also will hold for populist citizens. The first part of this article briefly reviews the state of the art on the individual-level relationship between populism and democracy. Drawing from this review, we identify several theoretical and empirical gaps and limitations in the literature that future research should address. We conclude that contemporary scholarship has made important contributions, but more nuanced and targeted research is necessary to comprehensively understand the intricacies between populism and democracy on the individual level.