Incidence, prevalence, and global burden of ADHD from 1990 to 2019 across 204 countries: data, with critical re-analysis, from the Global Burden of Disease study.

Data on incidence, prevalence and burden of ADHD are crucial for clinicians, patients, and stakeholders. We present the incidence, prevalence, and burden of ADHD globally and across countries from 1990 to 2019 from the Global Burden of Disease (GBD) study. We also: (1) calculated the ADHD prevalence based on data actually collected as opposed to the prevalence estimated by the GBD with data imputation for countries without prevalence data; (2) discussed the GBD estimated ADHD burden in the light of recent meta-analytic evidence on ADHD-related mortality. In 2019, GBD estimated global age-standardized incidence and prevalence of ADHD across the lifespan at 0.061% (95%UI = 0.040-0.087) and 1.13% (95%UI = 0.831-1.494), respectively. ADHD accounted for 0.8% of the global mental disorder DALYs, with mortality set at zero by the GBD. From 1990 to 2019 there was a decrease of -8.75% in the global age-standardized prevalence and of -4.77% in the global age-standardized incidence. The largest increase in incidence, prevalence, and burden from 1990 to 2019 was observed in the USA; the largest decrease occurred in Finland. Incidence, prevalence, and DALYs remained approximately 2.5 times higher in males than females from 1990 to 2019. Incidence peaked at age 5-9 years, and prevalence and DALYs at age 10-14 years. Our re-analysis of data prior to 2013 showed a prevalence in children/adolescents two-fold higher (5.41%, 95% CI: 4.67-6.15%) compared to the corresponding GBD estimated prevalence (2.68%, 1.83-3.72%), with no significant differences between low- and middle- and high-income countries. We also found meta-analytic evidence of significantly increased ADHD-related mortality due to unnatural causes. While it provides the most detailed evidence on temporal trends, as well as on geographic and sex variations in incidence, prevalence, and burden of ADHD, the GBD may have underestimated the ADHD prevalence and burden. Given the influence of the GBD on research and policies, methodological issues should be addressed in its future editions.

Influence of illness representations on coping strategies and psychosocial outcomes of infertility: Systematic review and meta-analysis.

BACKGROUND: This systematic review and meta-analysis was based on the Common Sense Model, applied to infertility. AIMS: The aim was to examine the relationships between cognitive (i.e. cause, coherence, consequences, controllability, identity and timeline) or emotional representations of infertility and both coping (i.e. maladaptive and adaptive) and psychosocial outcomes (i.e. distress, anxiety, depressive symptoms, social isolation, low well-being and poor quality of life), reporting followed PRISMA guidelines. MATERIALS & METHODS: Five databases (PubMed, PsycINFO, PsycARTICLES, PubPsych and CINAHL) were searched, and 807 articles were initially identified. RESULTS: Seven cross-sectional studies (N = 1208 participants) were retained in qualitative and quantitative analyses. These studies assessed the associations of seven types of representations with either maladaptive or adaptive coping (20 effect sizes), or with psychosocial outcomes (131 effect sizes). A multivariate meta-analysis revealed that none (0/2) of the associations between the sole type of representation considered (i.e. controllability) and coping strategies were statistically significant, whereas three (3/7) of the associations between representations of infertility and psychosocial outcomes were statistically significant. Regardless of p-values, pooled estimates ranged from low (r = .03) to very high (r = .59). DISCUSSION: Future studies should validate specific measurement tools for measuring cognitive and emotional representations of infertility. CONCLUSION: Our results highlight the influence of representations of infertility (particularly cognitive representations of consequences and emotional representations) on the psychosocial outcomes of infertility.

Known-groups and convergent validity of the theory of mind task battery in children with autism spectrum disorder.

OBJECTIVES: One of the most promising Theory of Mind (ToM) tests developed for children with ASD is the Theory of Mind Task Battery (ToM-TB). Still, additional psychometric properties of this tool need to be assessed. The main objective of this preregistered study was to investigate the known-groups and convergent validities of the ToM-TB compared to a well-established test used to assess ToM in children with ASD (the Strange Stories Test; SST). METHODS: A total of 68 school-aged children were recruited (34 children with ASD and 34 children with typical development). The groups were matched on sex and age, and on both receptive language abilities and overall cognitive functioning. RESULTS: Regarding the known-groups validity, we found group differences in the performance on the ToM-TB and SST. Additional analyses revealed that this result tended to be more robust for the ToM-TB than for the SST. Regarding convergent validity, we showed that the ToM-TB and SST correlated strongly, for children with ASD and children with typical development. In contrast, we found small correlations of these two tests with social competence in daily life. No evidence was found for greater known-groups or convergent validity of one test compared to the other. CONCLUSION: Our data confirmed the relevance of the ToM-TB and the SST for the assessment of ToM in school-aged children. Future studies should continue to assess the psychometric qualities of various ToM tests to provide reliable information to best guide researchers and clinicians when choosing optimal neuropsychological tools.

metaumbrella: the first comprehensive suite to perform data analysis in umbrella reviews with stratification of the evidence.

OBJECTIVE: Umbrella reviews are a new form of literature review that summarises the strength and/or quality of the evidence from all systematic reviews and meta-analyses conducted on a broad topic. This type of review thus provides an exhaustive examination of a vast body of information, providing the highest synthesis of knowledge. A critical strength of umbrella reviews is recalculating the meta-analytic estimates within a uniform framework to allow a consistent evidence stratification. To our best knowledge, there is no comprehensive package or software to conduct umbrella reviews. METHODS: The R package metaumbrella accomplishes this aim by building on three core functions that (1) automatically perform all required calculations in an umbrella review (including but not limited to pairwise meta-analyses), (2) stratify evidence according to various classification criteria and (3) generate a visual representation of the results. In addition, this package allows flexible inputs for each review or meta-analysis analysed (eg, means plus SD, or effect size estimate and CI) and customisation (eg, stratification criteria following Ioannidis, algorithmic GRADE or personalised classification). RESULTS: The R package metaumbrella thus provides the first comprehensive range of facilities to perform umbrella reviews with stratification of the evidence. CONCLUSION: To facilitate the use of this package, even for researchers unfamiliar with R, we also provide a JAMOVI module and an open-access, browser-based graphical interface that allow use of the core functions of the package with a few mouse clicks.

Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction.

Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of men-tal disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I2 statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders - particularly alcohol use disorders, depressive disorders, and schizophrenia - can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine.

Removing the effects of the site in brain imaging machine-learning - Measurement and extendable benchmark.

Multisite machine-learning neuroimaging studies, such as those conducted by the ENIGMA Consortium, need to remove the differences between sites to avoid effects of the site (EoS) that may prevent or fraudulently help the creation of prediction models, leading to impoverished or inflated prediction accuracy. Unfortunately, we have shown earlier that current Methods Aiming to Remove the EoS (MAREoS, e.g., ComBat) cannot remove complex EoS (e.g., including interactions between regions). And complex EoS may bias the accuracy. To overcome this hurdle, groups worldwide are developing novel MAREoS. However, we cannot assess their effectiveness because EoS may either inflate or shrink the accuracy, and MAREoS may both remove the EoS and degrade the data. In this work, we propose a strategy to measure the effectiveness of a MAREoS in removing different types of EoS. FOR MAREOS DEVELOPERS, we provide two multisite MRI datasets with only simple true effects (i.e., detectable by most machine-learning algorithms) and two with only simple EoS (i.e., removable by most MAREoS). First, they should use these datasets to fit machine-learning algorithms after applying the MAREoS. Second, they should use the formulas we provide to calculate the relative accuracy change associated with the MAREoS in each dataset and derive an EoS-removal effectiveness statistic. We also offer similar datasets and formulas for complex true effects and EoS that include first-order interactions. FOR MACHINE-LEARNING RESEARCHERS, we provide an extendable benchmark website to show: a) the types of EoS they should remove for each given machine-learning algorithm and b) the effectiveness of each MAREoS for removing each type of EoS. Relevantly, a MAREoS only able to remove the simple EoS may suffice for simple machine-learning algorithms, whereas more complex algorithms need a MAREoS that can remove more complex EoS. For instance, ComBat removes all simple EoS as needed for predictions based on simple lasso algorithms, but it leaves residual complex EoS that may bias the predictions based on standard support vector machine algorithms.

Association of Parent-Rated Sleep Disturbances With Attention-Deficit/Hyperactivity Disorder Symptoms: 9-Year Follow-up of a Population-Based Cohort Study.

OBJECTIVE: Symptoms of attention-deficit/hyperactivity disorder (ADHD) and sleep disturbances frequently co-occur, and can result in significant functional impairments that worsen quality of life. Despite a growing number of studies focusing on the association between sleep disturbances and ADHD symptoms over the last 20 years, the directionality of this association from childhood to early adulthood remains unclear. METHOD: A sample of French parents (n = 1,055) were followed-up over a 9-year period. At children mean ages of 9, 13, and 18 years, parents were interviewed about their children's ADHD symptoms and sleep disturbances. Random-intercept cross-lagged panel models assessed the directionality of the association from childhood to early adulthood. RESULTS: Parent-reported sleep disturbances at a mean age of 13 years predicted increased ADHD symptoms 5 years later. Additional analyses suggested that this effect might be limited to inattentive symptoms, and that ADHD symptoms at a mean age of 9 predicted increased sleep disturbances 4 years later. CONCLUSION: The present study provides evidence of a directional longitudinal association between parent-reported sleep disturbances and ADHD symptoms from adolescence to early adulthood. Our results highlight the importance of identifying sleep disturbances and ADHD symptoms for the design of preventive interventions. Future studies investigating this association in children with a clinical diagnosis of ADHD have the potential to provide important information for clinical practice.

Association of sleep with moral severity to accidental harm transgressions: A cross-sectional study.

Based on the assumptions that moral judgement activities require cognitive control, a capacity impaired by low sleep quality or a lack of sleep, several studies have explored the association between sleep and moral judgements. However, even if some studies support the association between sleep and both moral awareness and unethical behaviours, others failed to find a robust association between sleep and moral utilitarianism. In the present well-powered preregistered cross-sectional study, we explored the role of sleep in another class of moral judgement, namely third-party punishment (in which people have to assess the morality of an agent who transgressed a moral rule). Specifically, we targeted the association of sleep with judgements of accidental harm transgressions, which are assumed to be especially cognitively costly. Our main analysis showed no association of overall sleep quality during the past month with moral severity in these transgressions. This result was confirmed for other sleep indexes (sleep quantity in the past month, and sleep quantity and quality in the past night). Lastly, we exhaustively explored the associations of all sleep indexes with all classes of moral judgement (accidental, intentional, attempted transgressions and control scenarios). These additional results revealed associations between sleep and moral severity, but none survived correction for multiple testing. Equivalence tests confirmed that the effect sizes of all these associations were relatively low (|r < 0.25|). We ensured that the lack of robust association between natural sleep and third-party punishment could not be explained by a low quality of the data collected.

Efficacy of psychosocial interventions for Autism spectrum disorder: an umbrella review.

INTRODUCTION: The wide range of psychosocial interventions designed to assist people with Autism Spectrum Disorder (ASD) makes it challenging to compile and hierarchize the scientific evidence that supports the efficacy of these interventions. Thus, we performed an umbrella review of published meta-analyses of controlled clinical trials that investigated the efficacy of psychosocial interventions on both core and related ASD symptoms. METHODS: Each meta-analysis that was identified was re-estimated using a random-effects model with a restricted maximum likelihood estimator. The methodological quality of included meta-analyses was critically appraised and the credibility of the evidence was assessed algorithmically according to criteria adapted for the purpose of this study. RESULTS: We identified a total of 128 meta-analyses derived from 44 reports. More than half of the non-overlapping meta-analyses were nominally statistically significant and/or displayed a moderate-to-large pooled effect size that favored the psychosocial interventions. The assessment of the credibility of evidence pointed out that the efficacy of early intensive behavioral interventions, developmental interventions, naturalistic developmental behavioral interventions, and parent-mediated interventions was supported by suggestive evidence on at least one outcome in preschool children. Possible outcomes included social communication deficits, global cognitive abilities, and adaptive behaviors. Results also revealed highly suggestive indications that parent-mediated interventions improved disruptive behaviors in early school-aged children. The efficacy of social skills groups was supported by suggestive evidence for improving social communication deficits and overall ASD symptoms in school-aged children and adolescents. Only four meta-analyses had a statistically significant pooled effect size in a sensitivity analysis restricted to randomized controlled trials at low risk of detection bias. DISCUSSION: This umbrella review confirmed that several psychosocial interventions show promise for improving symptoms related to ASD at different stages of life. However, additional well-designed randomized controlled trials are still required to produce a clearer picture of the efficacy of these interventions. To facilitate the dissemination of scientific knowledge about psychosocial interventions for individuals with ASD, we built an open-access and interactive website that shares the information collected and the results generated during this umbrella review. PRE-REGISTRATION: PROSPERO ID CRD42020212630.

Incidence, prevalence, and global burden of autism spectrum disorder from 1990 to 2019 across 204 countries.

Autism spectrum disorder (ASD) substantially contributes to the burden of mental disorders. Improved awareness and changes in diagnostic criteria of ASD may have influenced the diagnostic rates of ASD. However, while data on trends in diagnostic rates in some individual countries have been published, updated estimates of diagnostic rate trends and ASD-related disability at the global level are lacking. Here, we used the Global Burden of Diseases, Injuries, and Risk Factors Study data to address this gap, focusing on changes in prevalence, incidence, and disability-adjusted life years (DALYs) of ASD across the world. From 1990 to 2019, overall age-standardized estimates remained stable globally. Both prevalence and DALYs increased in countries with high socio-demographic index (SDI). However, the age-standardized incidence decreased in some low SDI countries, indicating a need to improve awareness. The male/female ratio decreased between 1990 and 2019, possibly accounted for by increasing clinical attention to ASD in females. Our results suggest that ASD detection in low SDI countries is suboptimal, and that ASD prevention/treatment in countries with high SDI should be improved, considering the increasing prevalence of the disorder. Additionally, growing attention is being paid to ASD diagnosis in females, who might have been left behind by ASD epidemiologic and clinical research previously. ASD burden estimates are underestimated as GBD does not account for mortality in ASD.

Association of natural sleep with moral utilitarianism: No evidence from 6 preregistered studies.

Recent research has shown that sleep is associated with moral judgment. Most of these studies have focused on moral awareness and unethical behaviors but far fewer have examined the impact of sleep on moral utilitarianism. We report a set of six preregistered cross-sectional studies which explore the association between moral utilitarianism and sleep quantity and quality at both the acute and chronic levels. A total of 582 participants drawn from diverse populations (USA, UK and France) addressed various measures of sleep quantity, sleep quality, and moral utilitarianism. We report a meta-analysis which showed only a weak association between sleep and moral utilitarianism. Despite the heterogeneity in the samples and methods employed, equivalence tests ruled out the possibility that we missed medium to strong effect sizes. We discuss the implication of these findings in the light of the moral judgment literature.

Reliability of moral decision-making: Evidence from the trolley dilemma.

The application of framing effects in the field of moral judgement has offered a golden opportunity to assess the reliability of people's moral judgements and decisions. To date, however, these studies are still scarce and they suffer from multiple methodological issues. Therefore, this study aims to provide further insights into the reliability of moral judgements while fixing these methodological shortcomings. In this study, we employed the classic trolley dilemma moral decision-making paradigm to determine the extent to which moral decisions are susceptible to framing effects. A total of 1,040 participants were included in the study. The data revealed that choices of participants did not significantly differ between the two frames. Equivalence tests confirmed that the associated effect size was very small. Further exploratory analyses revealed an unplanned interaction between the framing effect and the target of the framing manipulation. This result became from marginally statistically significant to insignificant following different sensitivity analyses. The implications and limitations of these findings and directions for future research are discussed.

Association of organic food consumption with obesity in a nationally representative sample.

The increased prevalence and adverse health consequences of obesity have made it one of the leading public health issues in recent years. Importantly, several epidemiological studies have revealed significant associations between BMI and organic food consumption. However, although these studies have suggested that this factor holds promise to prevent obesity, they all suffer from methodological limitations, including self-reporting methods to assess BMI, not controlling for potential confounding factors or using a non-representative sample. Moreover, all were restricted to an adult sample. We present the results of a cross-sectional epidemiological study assessing the association of organic food consumption with BMI and obesity in a representative lifespan French sample (INCA3 study). Objective methods were used to measure BMI, and several potentially confounding variables were controlled for. In total, 1775 children and adolescents and 2121 adults underwent anthropometric measurements and completed questionnaires concerning their dietary habits and lifestyle. Unadjusted models systematically revealed negative associations between organic food consumption and both BMI and obesity across all age groups. These associations tended to remain statistically significant even after controlling for several confounding variables concerning socio-economic status, quality of the diet and physical activity. The effect sizes were, however, small. These data confirm the association between organic food consumption and obesity during both childhood and adulthood. Evidence from randomised controlled trials is required to investigate causality between organic food consumption and lower BMI or obesity rate.

Influence of the month of birth on persistence of ADHD in prospective studies: protocol for an individual patient data meta-analysis.

INTRODUCTION: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with symptoms, especially the hyperactive ones, that tend to decrease in severity with age. Interestingly, children born just before the school-entry cut-off date (ie, the youngest pupils of a classroom) are at higher risk of being diagnosed with ADHD compared with children born just after the cut-off date. Noteworthy, this month-of-birth effect tends to disappear with increasing absolute age. Therefore, it is possible that young children erroneously diagnosed with ADHD due to their month of birth present a lower chance to have their diagnosis confirmed at a later age, artificially reinforcing the low persistence of ADHD across the lifespan. This protocol outlines an individual patient data (IPD) meta-analysis of prospective observational studies to explore the role of the month of birth in the low persistence of ADHD across the lifespan. METHODS AND ANALYSIS: Five databases will be systematically searched in order to find prospective observational studies where the presence of ADHD is assessed both at baseline and at a follow-up of at least 4 years. We will use a two-stage IPD meta-analytic approach to estimate the role of the month of birth in the persistence of ADHD. Various sensitivity analyses will be performed to assess the robustness of the results. ETHICS AND DISSEMINATION: No additional data will be collected and no de-identified raw data will be used. Ethics approval is thus not required for the present study. Results of this IPD meta-analysis will be submitted for publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020212650.

The interplay between the importance of a decision and emotion in decision-making.

Decision-making literature has demonstrated that individuals' preferences are strongly affected by the way in which choices are presented. This cognitive bias, termed the framing effect, is influenced by the importance of the possible outcomes that a decision can have. However, the direction of this influence remains poorly understood. The aim of this paper was to examine the role of the importance of a decision in framing susceptibility and to explore a potential mechanism underlying this influence. Our first study revealed that participants display a framing effect when their decision implies a high importance outcome, but resist framing manipulation when their decision implies a low importance outcome. Our second study confirmed that an increase in the importance of a decision is associated with increasing framing susceptibility. Moreover, a moderated mediation analysis revealed that the more a decision was important, the more the gain and loss frames aroused opposite emotions, and this accounted for the increase in framing susceptibility. The results of these two studies confirmed that an increase in the importance of a decision is associated with increasing framing susceptibility and suggest that this influence on framing susceptibility is underpinned by emotion. Implications and direction for future studies are discussed.

Is the framing effect a framing affect?

Over the past 30 years, researchers have shown that human choices are highly sensitive to the ways in which alternatives are presented. For example, when individuals face a choice between a sure and a risky option, their willingness to take risks varies depending on whether the alternatives are framed in terms of gain or loss. The current major hypothesis that explains such a framing effect predicts that compared with an equivalent risky option, sure gains are emotionally attractive and sure losses are emotionally aversive. Using a behavioural paradigm, the main objective of the current study was to experimentally observe the extent to which the emotional attraction to sure gains and aversion to sure losses are at the core of framing susceptibility. First, our results showed that, as the literature suggests, the emotional attraction to sure gains and aversion to sure losses underpin the framing effect. Second, our results showed that methodological factors moderated the role of these emotional mechanisms in the framing effect. Implications and directions for future studies are discussed.

Brief Report: Risk-Aversion and Rationality in Autism Spectrum Disorders.

Risk-aversion and rationality have both been highlighted as core features of decision making in individuals with Autism Spectrum Disorders (ASD). This study tested whether risk-aversion is related to rational decision-making in ASD individuals. ASD and matched control adults completed a decision-making task that discriminated between the use of risk-averse and rational strategies. Results showed that overall, ASD participants were more risk-averse than control participants. Specifically, both groups made similar choices when risk-aversion was the less rational strategy but ASD participants chose more rational options than control participants when risk-aversion was the most rational strategy. This study confirmed that risk-aversion is a core feature of ASD and revealed that ASD individuals can switch their decision-making strategy adaptively to avoid negative consequences.

High But Not Low Probability of Gain Elicits a Positive Feeling Leading to the Framing Effect.

Human risky decision-making is known to be highly susceptible to profit-motivated responses elicited by the way in which options are framed. In fact, studies investigating the framing effect have shown that the choice between sure and risky options depends on how these options are presented. Interestingly, the probability of gain of the risky option has been highlighted as one of the main factors causing variations in susceptibility to the framing effect. However, while it has been shown that high probabilities of gain of the risky option systematically lead to framing bias, questions remain about the influence of low probabilities of gain. Therefore, the first aim of this paper was to clarify the respective roles of high and low probabilities of gain in the framing effect. Due to the difference between studies using a within- or between-subjects design, we conducted a first study investigating the respective roles of these designs. For both designs, we showed that trials with a high probability of gain led to the framing effect whereas those with a low probability did not. Second, as emotions are known to play a key role in the framing effect, we sought to determine whether they are responsible for such a debiasing effect of the low probability of gain. Our second study thus investigated the relationship between emotion and the framing effect depending on high and low probabilities. Our results revealed that positive emotion was related to risk-seeking in the loss frame, but only for trials with a high probability of gain. Taken together, these results support the interpretation that low probabilities of gain suppress the framing effect because they prevent the positive emotion of gain anticipation.