Human dopaminergic system in the exercise-cognition link.

While the dopaminergic system is important for cognitive processes, it is also sensitive to the influence of physical activity (PA). We summarize current evidence on whether PA-related changes in the human dopaminergic system are associated with alterations in cognitive performance, discuss recent advances, and highlight challenges and opportunities for future research.

Sedentary behavior and lifespan brain health.

Higher levels of physical activity are known to benefit aspects of brain health across the lifespan. However, the role of sedentary behavior (SB) is less well understood. In this review we summarize and discuss evidence on the role of SB on brain health (including cognitive performance, structural or functional brain measures, and dementia risk) for different age groups, critically compare assessment approaches to capture SB, and offer insights into emerging opportunities to assess SB via digital technologies. Across the lifespan, specific characteristics of SB (particularly whether they are cognitively active or cognitively passive) potentially act as moderators influencing the associations between SB and specific brain health outcomes. We outline challenges and opportunities for future research aiming to provide more robust empirical evidence on these observations.

Development and validation of the physical effort scale (PES).

OBJECTIVES: Previous literature has primarily viewed physical effort as an aversive experience. However, recent research suggests that effort can also be valued positively. These differences in approach and avoidance tendencies toward physical effort may play a key role in the self-regulation of physical activity behaviors. The aim of this study was to develop a scale that measures these tendencies and contributes to a better understanding of physical effort and how it affects behavior. METHODS: The Physical Effort Scale (PES) was developed in Study 1 based on expert evaluations (n = 9) and cognitive interviews (n = 10). In Study 2 (n = 680, 69% female), content validity and dimensional structure were examined using principal component analysis and confirmatory factor analysis. Item reduction was conducted using item response theory. Preliminary construct validity was explored using regression. Study 3 (n = 297, 71% female) was used to validate dimensional structure, internal consistency, and construct validity, and to assess test-retest reliability. RESULTS: In Study 1, 44 items were rated for content validity, of which 18 were selected and refined based on cognitive interviews. Analyses from Study 2 allowed reducing the scale to 8 items with a two-dimension structure: tendency to approach (n = 4) and to avoid physical effort (n = 4). The two subscales showed high internal consistency (α = 0.897 for the approach dimension and 0.913 for the avoidance dimension) and explained usual levels of physical activity, providing preliminary evidence of construct validity. Study 3 confirmed the two-dimension structure with high internal consistency (α = 0.907 and 0.916 for the approach and avoidance dimension, respectively) and revealed acceptable test-retest reliability (intraclass correlation >0.66). Patterns of associations with other constructs showed expected relationships, confirming the concurrent, convergent, and discriminant validity of the scale. CONCLUSIONS: The PES is a valid and reliable measure of individual differences in the valuation of physical effort. This scale can assess the propensity to engage in physically demanding tasks in non-clinical populations. The PES and its manual are available in the Supplementary Material.

Associations of 24-hour movement behaviors with externalizing and internalizing problems among children and adolescents prescribed with eyeglasses/contact lenses.

Background: Emerging evidence points towards the psychological benefits of meeting 24-hour movement behavior (24-HMB) guidelines, but such associations have not yet been investigated among children and adolescents of prescribed eyeglasses/contact lenses. To this end, we examined associations of meeting 24-HMB guidelines with internalizing and externalizing challenges in this population. Methods: We used data from the 2021 National Survey of Children's Health, a cross-sectional survey including a representative sample of US children and adolescents. Data on movement behaviors (physical activity [PA], sedentary behavior operationalized via screen time [ST], and sleep duration [SL]) and internalizing and externalizing problems were collected through caregiver proxy reports. Caregivers completed questionnaires for 6030 (2799 girls) US children and adolescents of prescribed eyeglasses/contact lenses. Logistic regression analyses were conducted to determine the above-presented associations. Results: Only 7.1 % of those prescribed eyeglasses/contact lenses met all three 24-HMB guidelines, while they were more likely to meet SL guideline alone (32.1 %) in relation to other independent guidelines including PA (2.5 %) and ST (10.9 %). Compared to not meeting any of the three 24-HMB guidelines, meeting at least two guidelines (25.22 %) was significantly linked to lower odds of internalizing problems and externalizing problems. Conclusion: Meeting at least two components of the 24-HMB guidelines was beneficially linked to internalizing and externalizing problems. Thus, strategies or intervention programs that focus on meeting 24-HMB guidelines should be implemented among children and adolescents of those prescribed eyeglasses/contact lenses to foster coping with psychological issues.

Meeting 24-h movement behavior guidelines is linked to academic engagement, psychological functioning, and cognitive difficulties in youth with internalizing problems.

BACKGROUND: This study aimed to investigate associations of meeting 24-h movement behavior (24-HMB: physical activity [PA], screen time [ST] in the school-aged youth, and sleep) guidelines with indicators of academic engagement, psychological functioning, and cognitive function in a national representative sample of U.S. youth. METHODS: In this cross-sectional study, 1794 participants aged 6 to 17 years old were included for multivariable logistic regression to determine the above-mentioned associations, while adjusting for sociodemographic and health covariates. RESULTS: The proportion of participants who met 24-HMB guideline(s) varied greatly (PA+ ST+ sleep = 34 [weighted 1.17 %], PA + ST = 23 [weighted 1.72 %], PA + sleep = 52 [weighted 2.15 %], PA = 34 [weighted 2.88 %], ST = 142 [weighted 7.5 %], ST+ sleep = 209 [weighted 11.86 %], sleep = 725 [weighted 35.5 %], none = 575 [weighted 37.22 %]). Participants who met ST guideline alone and integrated (ST + Sleep and ST + sleep + PA) guidelines demonstrated the consistently beneficial associations with learning interest/curiosity, caring for school performance, completing required homework, resilience, cognitive difficulties, self-regulation (ps < 0.05). CONCLUSION: Meeting 24-HMB guidelines in an isolated or integrative manner was associated with improved academic engagement, psychological functioning, and reduced cognitive difficulties. These findings highlight the importance of the promotion of 24-HMB guidelines in youth with internalizing problems. Future longitudinal studies are needed to investigate whether changes or modifications of meeting specific 24-HMB guidelines (especially ST) is beneficial for youth with internalizing problems.

Improving physical activity using a single personalized consequence-based approach-avoidance training: Effects on self-reported behaviors, attitudes, and choices.

OBJECTIVE: Despite their potential in improving health behaviors, such as physical activity (PA), the effectiveness of interventions targeting automatic precursors remains contrasted. We examined the effects of a single session of ABC training - a personalized consequence-based approach-avoidance training - on PA, relative to an active control condition and a control condition. METHODS: Middle-aged US participants (N = 360, 53 % of women) either completed an ABC training (being instructed to approach PA to obtain self-relevant consequences), an approach-avoidance training (approaching PA in 90 % of trials), or a control training (approaching PA in 50 % of trials). Participants selected antecedents (e.g., "When I have little time") in which personalized choices between PA and sedentary alternatives were likely to occur. In the ABC training only, after approaching PA, self-relevant consequences were displayed (e.g., increase in the health status of participant's avatar). Primary outcome was self-reported PA seven days after the intervention. Secondary outcomes included choices for PA (vs sedentary) alternatives in a hypothetical free-choice task, intention, automatic and explicit attitudes toward PA. RESULTS: No significant effect of the ABC intervention on PA was observed, so as on intention and explicit attitudes. However, the ABC intervention was associated with higher odds of choosing PA alternatives in the free-choice task and with more positive automatic attitudes toward PA. CONCLUSIONS: While the ABC training was not effective at improving PA, its effects on choices and automatic attitudes suggest that this intervention may still have potential. Future studies with intensive trainings and device-based measures of PA remains needed.

Are trait self-control and self-control resources mediators of relations between executive functions and health behaviors?

This study investigated associations between executive functions (i.e., inhibition, working memory, cognitive flexibility) and individual differences in self-control and health behaviors. We examined whether executive functions predict physical activity, sedentary activity, and healthy and unhealthy diets, and whether trait self-control and self-control resources mediate these associations. Three hundred and eighty-five participants completed a questionnaire assessing trait self-control and self-control resources, physical activity, sedentary activity, and healthy and unhealthy diets. They also performed three randomly ordered cognitive tasks, a stop-signal task (i.e., inhibition), a letter memory task (i.e., updating), and a number-letter task (i.e., switching). Structural equation modeling revealed that self-control resources predicted positively physical activity (R2 = 0.08), negatively sedentary activity (R2 = 0.03) and positively healthy diet (R2 = 10). Moreover, trait self-control predicted positively healthy diet (R2 = 0.10) and negatively unhealthy diet (R2 = 0.19). Moreover, analyses revealed that switching significantly predicted self-control resources, and highlighted three totally mediated relations between this executive function and physical activity, sedentary activity and healthy diet. However, no evidence was found supporting associations between inhibition and updating, and health behaviors, or relations mediated by self-control for these executive functions. The findings suggest the importance of trait self-control and self-control resources for health behavior adoption and pave the way for studies exploring the role of the executive functions in an affective context. Open materials [https://osf.io/hpsjw/].

Relationship between reward-related brain activity and opportunities to sit.

The present study tested whether energy-minimizing behaviors evoke reward-related brain activity that promotes the repetition of these behaviors via reinforcement learning processes. Fifty-eight healthy young adults in a standing position performed a task where they could earn a reward either by sitting down or squatting while undergoing electroencephalographic (EEG) recording. Reward-prediction errors were quantified as the amplitude of the EEG-derived reward positivity. Results showed that reward positivity was larger on reward versus no reward trials, confirming the validity of our paradigm to measure evoked reward-related brain activity. However, results showed no evidence that sitting (versus standing and squatting) trials led to larger reward positivity. Moreover, we found no evidence suggesting that this effect was moderated by typical physical activity, physical activity on the day of the study, or energy expenditure during the experiment. However, at the behavioral level, results showed that the probability of choosing the stimulus more likely to lead to sitting than standing increased as the number of trials increased. In addition, results revealed that the probability of changing the selected stimulus was higher when the previous trial was a stand trial relative to a sit trial. In sum, neural results showed no evidence supporting the theory that opportunities to minimize energy expenditure are rewarding. However, behavioral findings suggested participants tend to choose the less effortful behavioral alternative and were therefore consistent with the theory of effort minimization (TEMPA).

Physical activity matters for everyone's health, but individuals with multimorbidity benefit more.

Multimorbidity, defined as the presence of two or more chronic conditions, is increasingly prevalent and is a major contributor to ill health in old age. Physical activity (PA) is a key protective factor for health and individuals with multimorbidity could particularly benefit from engaging in PA. However, direct evidence that PA has greater health benefits in people with multimorbidity is lacking. The objective of the present study was to investigate whether the associations between PA and health were more pronounced in individuals with (vs. without) multimorbidity. We used data from 121,875 adults aged 50 to 96 years (mean age = 67 ± 10 years, 55% women) enrolled in the Survey of Health, Ageing and Retirement in Europe (SHARE). Multimorbidity and PA were self-reported. Health indicators were assessed using tests and validated scales. Variables were measured up to seven times over a 15-year period. Confounder-adjusted linear mixed-effects models were used to investigate the moderating role of multimorbidity on the associations of PA with the levels and trajectories of health indicators across aging. Results showed that multimorbidity was associated with declines in physical, cognitive, and mental health, as well as poorer general health. Conversely, PA was positively associated with these health indicators. We found a significant interaction between multimorbidity and PA, revealing that positive associations between PA and health indicators were strengthened in people with multimorbidity - although this stronger association became less pronounced in advanced age. These findings suggest that the protective role of PA for multiple health indicators is enhanced in individuals with multimorbidity.

Initial status and change in cognitive function mediate the association between academic education and physical activity in adults over 50 years of age.

Higher levels of academic education are associated with higher levels of physical activity throughout the lifespan. However, the mechanisms underlying this association are unclear. Cognitive functioning is a potential mediator of this association because higher levels of education are associated with better cognitive function, which is related to greater engagement in physical activity. Here, we used large-scale longitudinal data from 105,939 adults 50 years of age or older (55% women) from the Survey of Health, Ageing, and Retirement in Europe to investigate whether initial status and change in cognitive function mediate the relationship between education and change in physical activity. Education and physical activity were self-reported. Cognitive function was assessed based on delayed recall and verbal fluency. Academic education was assessed at the first measurement occasion. The other measures were collected seven times between 2004 and 2019. The mediating role of cognitive function was tested using longitudinal mediation analyses combined with growth curve models. We found that higher levels of education were associated with higher levels and slower decreases in cognitive function, which in turn predicted a lower decrease in physical activity across time. These results support the presence of an indirect effect of education on physical activity trajectories by affecting the intercept and slope of cognitive function. Specifically, these findings suggest that both the initial status and change in cognitive function mediate the association between academic education and change in physical activity. In addition, results revealed that, across the aging process, differences in cognitive function and physical activity widen between the low and high educated. In other words, this study demonstrates the long-lasting effect of education on cognitive function and physical activity. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Look into my eyes: What can eye-based measures tell us about the relationship between physical activity and cognitive performance?

BACKGROUND: There is a growing interest to understand the neurobiological mechanisms that drive the positive associations of physical activity and fitness with measures of cognitive performance. To better understand those mechanisms, several studies have employed eye-based measures (e.g., eye movement measures such as saccades, pupillary measures such as pupil dilation, and vascular measures such as retinal vessel diameter) deemed to be proxies for specific neurobiological mechanisms. However, there is currently no systematic review providing a comprehensive overview of these studies in the field of exercise-cognition science. Thus, this review aimed to address that gap in the literature. METHODS: To identify eligible studies, we searched 5 electronic databases on October 23, 2022. Two researchers independently extracted data and assessed the risk of bias using a modified version of the Tool for the assEssment of Study qualiTy and reporting in EXercise (TESTEX scale, for interventional studies) and the critical appraisal tool from the Joanna Briggs Institute (for cross-sectional studies). RESULTS: Our systematic review (n = 35 studies) offers the following main findings: (a) there is insufficient evidence available to draw solid conclusions concerning gaze-fixation-based measures; (b) the evidence that pupillometric measures, which are a proxy for the noradrenergic system, can explain the positive effect of acute exercise and cardiorespiratory fitness on cognitive performance is mixed; (c) physical training- or fitness-related changes of the cerebrovascular system (operationalized via changes in retinal vasculature) are, in general, positively associated with cognitive performance improvements; (d) acute and chronic physical exercises show a positive effect based on an oculomotor-based measure of executive function (operationalized via antisaccade tasks); and (e) the positive association between cardiorespiratory fitness and cognitive performance is partly mediated by the dopaminergic system (operationalized via spontaneous eye-blink rate). CONCLUSION: This systematic review offers confirmation that eye-based measures can provide valuable insight into the neurobiological mechanisms that may drive positive associations between physical activity and fitness and measures of cognitive performance. However, due to the limited number of studies utilizing specific methods for obtaining eye-based measures (e.g., pupillometry, retinal vessel analysis, spontaneous eye blink rate) or investigating a possible dose-response relationship, further research is necessary before more nuanced conclusions can be drawn. Given that eye-based measures are economical and non-invasive, we hope this review will foster the future application of eye-based measures in the field of exercise-cognition science.

Physical activity mediates the effect of education on mental health trajectories in older age.

OBJECTIVE: Why people with lower levels of educational attainment have poorer mental health than people with higher levels can partly be explained by financial circumstances. However, whether behavioral factors can further explain this association remains unclear. Here, we examined the extent to which physical activity mediates the effect of education on mental health trajectories in later life. METHODS: Data from 54,818 adults 50 years of age or older (55 % women) included in the Survey of Health, Aging and Retirement in Europe (SHARE) were analyzed using longitudinal mediation and growth curve models to estimate the mediating role of physical activity (baseline and change) in the association between education and mental health trajectories. Education and physical activity were self-reported. Mental health was derived from depressive symptoms and well-being, which were measured by validated scales. RESULTS: Lower education was associated with lower levels and steeper declines in physical activity over time, which predicted greater increases in depressive symptoms and greater decreases in well-being. In other words, education affected mental health through both levels and trajectories of physical activity. Physical activity explained 26.8 % of the variance in depressive symptoms and 24.4 % in well-being, controlling for the socioeconomic path (i.e., wealth and occupation). CONCLUSIONS: These results suggest that physical activity is an important factor in explaining the association between low educational attainment and poor mental health trajectories in adults aged 50 years and older.

Beyond Individual Cognitions: Time for Intervention Science to Focus on Health Context and Audience.

Intervention science faces a hazardous paradox: on the one hand, vulnerable populations (eg, patients, people from low socioeconomic background, older adults) are those for whom adoption of healthy behaviors is most urgent; on the other hand, behavior change models are less predictive, and interventions less successful, in these populations. This commentary presents 4 reasons that may explain this issue: (1) research mostly focuses on what causes behavior and how to change it, at the expense of investigating among whom and under what conditions models are valid; (2) models put an undue emphasis on individual cognitions; (3) most studies are not conducted on vulnerable populations; and (4) most researchers are from high-income countries. Several avenues are proposed to address this issue: (1) providing a central place to the context and audience in health behavior change modelization, through collaborations with researchers from other disciplines and countries, and with members of the targeted audience; (2) better reporting samples' sociodemographic characteristics and increasing samples' diversity; and (3) using more rigorous and innovative designs (eg, powered randomized controlled trials, N-of-1 trials, intensive longitudinal studies). In conclusion, it becomes urgent to change the way we do research: the social utility and credibility of intervention science depend on it.

Predictors of intentions of adults over 35 years to participate in walking sport programs: A social-ecological mixed-methods approach.

There is a growing need to identify acceptable and feasible opportunities to engage adults over 35 years in physical activity. Walking sports may be a potential means to engage adults in sport; however, there is limited evidence regarding appeal and feasibility to support its implementation and delivery. Using a two-step mixed-methods approach, we aimed (1) to quantitively identify significant predictors of intentions of adults over 35 years to participate in walking sports and (2) to understand why and how these identified predictors may be contextually relevant to the target group. In phase one, 282 adults over 35 years (Mage = 46.08, SD = 9.75) without prior experience of walking sports completed an online questionnaire assessing personal, psychosocial, program-related, and environmental predictors, and intentions to participate in walking sports. Hierarchical multiple linear regressions showed that perceived health status, attitudes, subjective norms, and distance of venue were significant predictors of intentions. In phase two, interviews with a subset of 17 participants indicated that, when implementing walking sport programs, program labeling, fear of the unknown, and individual differences in the appeal of walking sport warrant consideration. Together, these findings offer insight into the complex interplay of personal, psychosocial, program-related, and environmental predictors of adults' intentions to participate in walking sports. Addressing these elements of a walking sport program would make such programs more appealing to potential participants, and ultimately, more feasible and sustainable to conduct in the long run.

Affective Responses to Increasing- and Decreasing-Intensity Resistance Training Protocols.

This study compared the effects of an increasing-intensity (UP) and a decreasing-intensity (DOWN) resistance training protocol on affective responses across six training sessions. Novice participants (Mage 43.5 ± 13.7 years) were randomly assigned to UP (n = 18) or DOWN (n = 17) resistance training groups. Linear mixed-effects models showed that the evolution of affective valence within each training session was significantly moderated by the group (b = -0.45, p ≤ .001), with participants in the UP group reporting a decline in pleasure during each session (b = -0.82) and the DOWN group reporting an improvement (b = 0.97; ps < .001). Remembered pleasure was significantly higher in the DOWN group compared to the UP group (b = 0.57, p = .004). These findings indicate that a pattern of decreasing intensity throughout a resistance exercise session can elicit more positive affective responses and retrospective affective evaluations of resistance training.

Genetic insights into the causal relationship between physical activity and cognitive functioning.

Physical activity and cognitive functioning are strongly intertwined. However, the causal relationships underlying this association are still unclear. Physical activity can enhance brain functions, but healthy cognition may also promote engagement in physical activity. Here, we assessed the bidirectional relationships between physical activity and general cognitive functioning using Latent Heritable Confounder Mendelian Randomization (LHC-MR). Association data were drawn from two large-scale genome-wide association studies (UK Biobank and COGENT) on accelerometer-measured moderate, vigorous, and average physical activity (N = 91,084) and cognitive functioning (N = 257,841). After Bonferroni correction, we observed significant LHC-MR associations suggesting that increased fraction of both moderate (b = 0.32, CI95% = [0.17,0.47], P = 2.89e - 05) and vigorous physical activity (b = 0.22, CI95% = [0.06,0.37], P = 0.007) lead to increased cognitive functioning. In contrast, we found no evidence of a causal effect of average physical activity on cognitive functioning, and no evidence of a reverse causal effect (cognitive functioning on any physical activity measures). These findings provide new evidence supporting a beneficial role of moderate and vigorous physical activity (MVPA) on cognitive functioning.

Automaticity mediates the association between action planning and physical activity, especially when autonomous motivation is high.

OBJECTIVES: Action planning promotes physical activity (PA). However, mechanisms underlying this association are poorly understood, as are the variables that moderate this link remain unexplored. To fill these gaps, we investigated whether automaticity mediated the association between action planning and PA, and whether autonomous motivation moderated this mediation. METHODS AND MEASURES: PA was measured by accelerometry over seven days among a sample of 124 adults. Action planning, automaticity, and autonomous motivation were assessed by questionnaires. RESULTS: Structural equation models revealed that automaticity mediated the association between action planning and PA (total effect, ß = .29, p < .001) - action planning was associated with automaticity (a path, ß = .47, p < .001), which in turn related to PA (b path, ß = .33, p = .003). Autonomous motivation moderated the a path (ß = .16, p = .035) - action planning was more strongly associated with automaticity when autonomous motivation was high (+1 standard-deviation [SD]) (unstandardized b = 0.77, p < .001) versus low (-1 SD) (b = 0.35, p = .023). CONCLUSION: These findings not only support that action planning favors an automatic behavioral regulation, but also highlight that a high autonomous motivation toward PA may reinforce this mechanism.

Associations of meeting 24-h movement behavior guidelines with cognitive difficulty and social relationships in children and adolescents with attention deficit/hyperactive disorder.

BACKGROUND: Evidence-based 24-h movement behavior (24-HMB) guidelines have been developed to integrate recommendations for the time spent on physical activity, sedentary behavior, and sleep. For children and adolescents, these 24-HMB guidelines recommend a maximum of two hours of recreational screen time (as part of sedentary behavior), a minimum of 60 min per day of moderate to vigorous physical activity (MVPA), and an age-appropriate sleep duration (9-11 h for 5 to 13-year-olds; 8-10 h for 14 to 17-year-olds). Although adherence to the guidelines has been associated with positive health outcomes, the effects of adhering to the 24-HMB recommendations have not been fully examined in children and adolescents with attention eficit/hyperactive disorder (ADHD). Therefore, this study examined potential associations between meeting the 24-HMB guidelines and indicators of cognitive and social difficulties in children and adolescents with ADHD. METHODS: Cross-sectional data on 3470 children and adolescents with ADHD aged between 6 and 17 years was extracted from the National Survey for Children's Health (NSCH 2020). Adherence to 24-HMB guidelines comprised screen time, physical activity, and sleep. ADHD-related outcomes included four indicators; one relating to cognitive difficulties (i.e., serious difficulties in concentrating, remembering, or making decisions) and three indicators of social difficulties (i.e., difficulties in making or keeping friends, bullying others, being bullied). Logistic regression was performed to determine the associations between adherence to 24-HMB guidelines and the cognitive and social outcomes described above, while adjusting for confounders. RESULTS: In total, 44.8% of participants met at least one movement behavior guideline, while only 5.7% met all three. Adjusted logistic regressions further showed that meeting all three guidelines was associated with lower odds of cognitive difficulties in relation to none of the guidelines, but the strongest model included only screen time and physical activity as predictors (OR = 0.26, 95% CI 0.12-0.53, p < .001). For social relationships, meeting all three guidelines was associated with lower odds of difficulty keeping friends (OR = 0.46, 95% CI 0.21-0.97, p = .04) in relation to none of the guidelines. Meeting the guideline for screen time was associated with lower odds of being bullied (OR = 0.61, 95% CI 0.39-0.97, p = .04) in relation to none of the guidelines. While screen time only, sleep only and the combination of both were associated with lower odds of bullying others, sleep alone was the strongest predictor (OR = 0.44, 95% CI 0.26-0.76, p = .003) in relation to none of the guidelines. CONCLUSION: Meeting 24-HMB guidelines was associated with reduced likelihood of cognitive and social difficulties in children and adolescents with ADHD. These findings highlight the importance of adhering to healthy lifestyle behaviors as outlined in the 24-HMB recommendations with regard to cognitive and social difficulties in children and adolescents with ADHD. These results need to be confirmed by longitudinal and interventional studies with a large sample size.

Psychometric evaluation of the inventory of dimensions of emerging adulthood (IDEA) in China

Background/Objective: Emerging adulthood (EA, age range between 18 to 29 years) is an important developmental stage that is characterized by marked social and psychological changes. Currently, its developmental features are quantified by the Inventory of the Dimensions of Emerging Adulthood (IDEA) but a validated Chinese version of this questionnaire (IDEA-C) is lacking. Thus, this research, which consists of two consecutive studies, aimed to investigate the psychometric properties of the translated IDEA in a Chinese sample of emerging adults. Method: Firstly, a forward-backward translation of the IDEA-C scale was conducted. Item analysis and exploratory factor analysis were performed in Sample 1a (n = 2438), followed by structural validity test in Sample 1b (n = 2461). Concurrent validity and internal consistency were evaluated in Sample 1(n = 4899). Finally, test-retest reliability was tested in Sample 2 (n = 185). Then, the second study aimed to test the factor structure proposed by study 1 in the non-student sample (n = 2200) by confirmatory factor analysis. In addition, the second study also investigated whether the attainment of college education influenced the EA experience of non-student emerging adults in China. And the association was examined between the socioeconomic status of emerging adults and the subscales of IDEA. Results: In the college sample, the IDEA-C scale presented a four-factor structure different from the original five-factor structure (χ2(190)=1116.84, p < 0.001; CFI = 0.97; TLI = 0.96; SRMR = 0.039; RMSEA = 0.050 [90%CI=0.047-0.052]). In addition, IDEA-C exhibited good internal consistency reliability (Cronbach's alpha >0.77), test-retest reliability (r>0.49, p < 0.01) and concurrent validity. (AU)