Social Networking Activities Research Articles

Community-Based Mental Health Improvement Initiatives: A Narrative Review and Indiana Case Study.

There is a global mental health crisis: mental illness is underrecognized, underdiagnosed, and undertreated with adverse effects on mental, physical, and social health. In the United States, there is an insufficient number of traditional psychiatric and psychological resources to provide the mental health care needed to solve this crisis. Community-based interventions could be an important adjunct to traditional mental health care. An evaluation of peer-reviewed articles was performed describing community-based interventions and identified 3 approaches with some evidence of effectiveness: (1) interventions that enhance community mental health literacy to improve recognition of early signs of mental illness for early engagement and provide community, family, and peer support; (2) community clinics providing social, medical, and mental health care and support to transition-age youth (15-25 years); and (3) social networking activities to enhance interactions among elders suffering from social isolation and loneliness. Multisector, multidisciplinary, and multicomponent interventions involving health care providers and community-based organizations had the best evidence of effectiveness and should target transition-age youth and elders.

Social network characteristics and their relationships with physical activity in children with multiple sclerosis

BackgroundPhysical activity has been found to associate with improved health outcomes in children with multiple sclerosis (MS). Social networks may facilitate physical activity in children with MS. ObjectivesTo estimate associations between social network characteristics and physical activity in children with MS compared to children with monophasic acquired demyelinating syndrome (mono-ADS). MethodsChildren with MS and mono-ADS recruited from the Hospital for Sick Children completed questionnaires on social network and physical activity. Descriptive and inferential analyses estimated differences between cohorts and correlations. ResultsChildren with MS (n = 16) and mono-ADS (n = 22) did not differ in outcomes. Higher physical activity associated with larger social networks (rs= 0.681, p < 0.01), more Emotional Support (rs= 0.604, p < 0.05), Camaraderie (rs= 0.585, p < 0.05), more social network members with post-secondary education (rs= 0.680, p < 0.05), and members who exercise 3 to 4 times a week (rs= 0.744, p < 0.01). These associations were not found in children with mono-ADS. ConclusionLarger social network size, more emotional support and camaraderie, and more individuals with post-secondary education and who regularly exercise in the social network associated with higher physical activity in children with MS. Social network characteristics may help understand health behaviors in children with MS.

Внешние и внутренние угрозы как фактор риска для ведения эффективной политической коммуникации органов местного самоуправления

The article outlines the features of political communication of local governments in the context of new information challenges and threats. The role of municipal administrations in the formation of the information field is determined by the example of the Saratov region. The tasks facing the heads of local administrations in the process of information and communication support of their professional activities in social networks are analyzed. The risk factors for information support of the activities of local governments in the modern information space are identified. The article also examines information threats related to both internal processes and external factors of influence that local administrations of both large and small municipalities have to work with in the information space. The author also defines a number of criteria and recommendations that contribute to reducing information risks and threats, which significantly improve the effectiveness of political communication of local governments.

The social force model: a behavioral modeling approach for information propagation during significant events

Information diffusion otherwise known as the propagation, spread or dissemination of information occurs when a piece of information flows from a particular individual/community to another in a social network. Studies related to information propagation involve problems regarding the factors that affect the information propagation, how the information is disseminated, the speed of propagation, etc. Researchers have proposed information propagation models to understand the phenomenon and to answer these questions. These models have been effectively used in applications such as behavior analysis, public health care, etc. Although several studies are carried out in this field, the literature demands identifying the most influential factors of propagation in real time in cases of sudden unexpected significant disasters/epidemics/pandemics, since the existing propagation models seem unfit during such circumstances. In this paper, a novel information propagation model which predicts the top propagators of information related to a particular context is proposed. This model utilizes the past few weeks' data during a sudden outbreak of a disaster and identifies the most influential attributes of a user profile to predict the top propagators of the future. The proposed Social Force Model is inspired by a model used in studying the fear propagation pattern in pedestrian dynamics in real-life situation [Cornes FE, Frank GA, Dorso CO. Fear propagation and the evacuation dynamics. Simul Model Pract Theory. 2019;95:112–133.]. We have effectively mapped the various forces which constitute the Social Force Model such as the Desired Force, the Social Force and the Granular Force with respect to the online social network context in order to discover the key spreaders of information during a specific context. Apart from identifying the propagators, the proposed model discovers the key attributes by analyzing the behavior of users based on their past activities in the online social network.

Have I Seen You Here Before? Social Network and Physical Activity Implications of Previous Participation in a Summer Care Program

This study explores the impact of prior participation in summer care programs (SCPs) on children’s physical activity (PA) and social connections at the start (T1) and end (T2) of summer. Children aged 8–12 reported their attendance, PA, and social connections (T1: n = 100, T2: n = 77). T-tests and exponential random graph modeling were used to analyze data. Results showed that prior attendance didn’t significantly affect friend count or PA. New connections formed over time were more likely among children with similar PA levels. The study highlights SCPs’ role in integrating new children into social circles without preferential attachment.

Evolution of interaction-free usage in the wake of AI

Abstract Interaction-free usage (IfU) will be one of the quantitatively dominant forms of computer use in the future. In qualitative terms, this form of use will cover a wide range of applications, also software that supports communication and cooperation. Digital twins for cooperation and communication will be employed by individual users to maintain a variety of social networking activities. Generative AI will play a decisive role in this development, autonomously identifying user needs, replacing the predominant form of use through prompting with question-and-answer dialogs. These dialogs will also be used to preconfigure systems for IfU phases. The counterpart to IfU, which will become ever less-frequent, is intervening interaction, when users intervene to explore and adjust the performance of AI-based systems in exceptional situations or to optimize them for future task handling.

Rivalry as a Contextual Factor of Gender Inequality in Network Returns

AbstractLinking research on networks, rivalry, and gender, we develop a contextual approach to gender‐based differences in network returns. Our principal contribution is in articulating the role of rivalry – a personalized and relational form of competition – in influencing the cognitive activation and behavioural mobilization of social networks. Three experiments and two field studies provide consistent evidence for a negative impact of rivalry on women's network activation and mobilization. We attribute this effect to the misalignment between the cognitive‐relational schema associated with rivalry, promoting focus, agency, and confrontation, and gender‐based cognitive and behavioural expectations, portraying women as more comprehensive, communal, and cooperative than men. The negative consequences of this misalignment are due to the experience of negative affect, fear of social evaluations, and perception of threat. A key takeaway from our analysis is that efforts at improving women's network returns should better account for the role of contextual factors.

AI-ASSISTED MISSING PERSON FINDER AND FACE RECOGNITION USING FACENET ALGORITHM

Thephenomenon of missing persons poses a significant societal challenge, requiring efficient and effective search and rescue operations. Recently, the blending of artificial intelligence and machine learning methods has demonstrated potential to considerably improve the process of finding missing persons. This paper presents an AI-assisted missing person finder system that harnesses the power of ML algorithms to augment traditional search methodologies. By drawing from an array of information pools such as surveillance video, social networking activity, and geographic specifics, the suggested framework aims to assemble complete individual profiles and potential clues for locating disappeared individuals. By leveraging cutting-edge machine learning techniques including deep neural networks, pattern identification, and natural language decoding, the platform has the capability to intensively examine huge volumes of diverse information and uncover meaningful patterns within the data that could provide clues concerning a missing individual's location or activities. Furthermore, through incorporating algorithmic techniques that optimize search strategies, prioritize promising leads, and coordinate search efforts in real time, the system is able to dynamically adjust its approach. Here is the rewritten sentence using a more complex structure while maintaining the same concepts: By outlining its design, implementation, and evaluation process, this paper aims to highlight how the AI-assisted missing person finder has the potential to dramatically boost both the efficiency and effectiveness of search and rescue operations through leveraging the latest advances in artificial intelligence. Furthermore, it addresses ethical considerations, privacy concerns, and future research directions in the development and deployment of AI-powered solutions for locating missing individuals.

A Prospective Study On Internet Addiction In Young Adults

Internet addiction has become an important issue in young population who are at risk of the adverse effects of internet addiction due to their high levels of internet use for social networking, gaming, streaming, and other online activities. Knowing the factors responsible for the development of internet Addiction can be useful for both prevention and treatment as well as targeted intervention for this type of addiction. This study was conducted to determine prevalence of Internet addiction among young population, its associated factors and analysing the possible differences related to gender. This cross-sectional study was conducted on young adults of 18-24 years age studying at Nims,university ,Jaipur, Rajasthan during the months of October and November 2023 . Predefined questionnaire of young etal was used to capture the data pertaining to internet addiction among the study population. A total of 141participants between 18years and 34 years of both genders were selected (247 males and 207 females) for the study. In the present study among the 24 participants, 67% were females and 33% were males. Overall internet addiction including severe and moderate degree was more than 50% which was higher than previous studies. Impact of internet addiction was observed in form of Reduced productivity at work, loss of sleep and depression/mood swings etc

Effect of Meta-Cognitive Strategy-Based Activities on Executive Functioning, Social Networking, and Instrumental Activities of Daily Living Among Women.

Background Aging has an impact on women's quality of life and is closely correlated with deteriorating social support systems and cognitive abilities. This project intends to improve women's performance, independence, and quality of life by using meta-cognitive strategy-based activities to improve executive functioning and their capacity to maintain social networks. The ultimate objective is to keep older women's cognitive abilities from declining and to give them more independence in carrying out essential everyday tasks. By enhancing their executive functioning skills, women will be better equipped to navigate daily challenges and maintain their autonomy. Additionally, the project aims to provide a supportive environment for older women to engage in social activities and strengthen their social connections, ultimately leading to a more fulfilling and enriched quality of life. Aims and objectives The study aims to evaluate the impact of meta-cognitive strategy-based activities on executive functioning, social networking, and instrumental activities of daily living. This study is specifically for women. Materials and method This is aquasi-experimental designwith convenience sampling and selected samples(n=70), who were then splitinto two groups: an experimental group (n=35) and a control group (n=35) based on the inclusion and exclusion criteria. The experimental group received intervention based on meta-cognitive strategies through various activities, while the control group did not receive any specific intervention except health education. Pre- and post-tests were conducted to measure the changes. Executive functioning was assessed using the Brief Executive Function Assessment Tool (BEAT), social networking was assessed using the Lubben Social Networking Scale, and instrumental activities of daily living were assessed using the Lawton Brody Instrumental Activities of Daily Living Scale. The duration of the study was six months,three sessions per week, lasting 45 minutes to an hour each. The statistical analysis was done with significance at a 5% alpha level using IBM SPSS version 29.0 (Armonk, NY: IBM Corp). Results The pre-test and post-test data were analyzed using the Wilcoxon signed-rank test and the Mann-Whitney test.Since the p-value of the experimental group was 0.00 for the Lubben Social Networking Scale, the BEAT, and the Lawton Brody Instrumental Activities of Daily Living Scale, the alternate hypothesis was accepted. Thus, the results showed significant improvement in executive functioning, social networking, and instrumental daily living activities in the experimental group compared to the control group. Conclusion The clinically significant finding of this study was that the participants were enthusiastic and motivated to engage in meta-cognitive strategy-based activities; furthermore, there was a significant improvement in the experimental group when compared with the control group in executive functioning and social networking abilities. This will enhance functions like instrumental activities of daily living and occupational performance. Meta-cognitive strategy-based activities appeared beneficial for improving the cognitive functions and quality of life of women. Although the findings from the studies arepositive for therapeutic and health benefits, more clinical trials are needed in order to prove the effect of meta-cognitive strategy-based activities as a therapeutic approach.

Adversarial Socialbots Modeling Based on Structural Information Principles

The importance of effective detection is underscored by the fact that socialbots imitate human behavior to propagate misinformation, leading to an ongoing competition between socialbots and detectors. Despite the rapid advancement of reactive detectors, the exploration of adversarial socialbot modeling remains incomplete, significantly hindering the development of proactive detectors. To address this issue, we propose a mathematical Structural Information principles-based Adversarial Socialbots Modeling framework, namely SIASM, to enable more accurate and effective modeling of adversarial behaviors. First, a heterogeneous graph is presented to integrate various users and rich activities in the original social network and measure its dynamic uncertainty as structural entropy. By minimizing the high-dimensional structural entropy, a hierarchical community structure of the social network is generated and referred to as the optimal encoding tree. Secondly, a novel method is designed to quantify influence by utilizing the assigned structural entropy, which helps reduce the computational cost of SIASM by filtering out uninfluential users. Besides, a new conditional structural entropy is defined between the socialbot and other users to guide the follower selection for network influence maximization. Extensive and comparative experiments on both homogeneous and heterogeneous social networks demonstrate that, compared with state-of-the-art baselines, the proposed SIASM framework yields substantial performance improvements in terms of network influence (up to 16.32%) and sustainable stealthiness (up to 16.29%) when evaluated against a robust detector with 90% accuracy.

Влияние социальных сетей на развитие политических коммуникаций в новой цифровой реальности

The article analyzes the aspects and problems of the influence of social networks on the development of politi-cal communications in the new digital reality. The concept of social networks is introduced, aspects of their im-pact on political communications and processes are characterized. Separately, the possibilities of the positive influence of social networks on the development of political communications in the new digital reality are re-vealed, and new threats and risks are also examined. Considering the factor of Russia’s involvement in a hy-brid, including informational, war with the collective West, a typology of social networks is proposed, including the criteria for blocking and possible reserves of popularity of political communications. The influence of differ-ent types of social networks and the factor of their blocking on the features and risks of political communica-tions is revealed, the specifics of communication activity in social networks with increasing and decreasing popularity are analysed. The mechanisms of political communications in the most preferred social networks for this are shown – VKontakte and Telegram. The necessity of activation of political communications aimed at young audience in TikTok, as well as on the basis of serious longreads on the platform “Zen” is argued. Measures are proposed for organizing political communications in social networks, including taking into ac-count the risk factors of outsourcing.

The relationship between intensity of social media use activity and counterproductive workplace behaviors

The present paper brings to attention the dysfunctional behavior in organisations in relation to the intensity of activity on social networks The present research aimed to identify the influences of the use of social networks on the occurrence of counterproductive behaviors in the workplace. It was based on 2 hypotheses: (1) it was assumed that there is a correlation between the use of the entertainment function in social networks and the occurrence of counterproductive behaviors at work and (2) the intensity of use of the social function of social networks correlates positively with the occurrence of counterproductive behaviors at work. The online questionnaire consisting of the Social Networking Activity Intensity Scale and the Counterproductive Behaviors Questionnaire (CWB-C) was completed by 30 people from Constanta County, aged 20-56 years. The results showed that the use of social networks within the limits of social function does not influence the development of counterproductive behaviors, while related to the intensity of social network use for entertainment purposes there is a positive correlation with the occurrence of certain counterproductive behaviors, such as sabotage and production-related deviance. The study did not find any correlations between the intensity of entertainment social network use and other dysfunctional behaviors such as theft and abuse. There were also no positive correlations between the age of respondents and the existence of dysfunctional behavior in the workplace. In the future, it would be useful to use a larger sample size and to introduce variables such as the type of work performed.

ПІДХОДИ ДО ПІДВИЩЕННЯ РІВНЯ ФІНАНСОВО-ЕКОНОМІЧНОЇ ГРАМОТНОСТІ УКРАЇНЦІВ ЗАСОБАМИ БІЗНЕС-ЖУРНАЛІСТИКИ

According to the results of an empirical study using a sociological survey method, it was established that Ukrainians are oriented towards receiving information from various digital platforms (92 %). Business topics in the structure of daily information consumption take third place according to the recognition of 43 % of respondents, military (69 %) and entertainment (50 %) are more popular. It was found that more than 91 % of respondents have little or limited knowledge of financial literacy and only 3 % of 138 respondents feel knowledgeable and prepared. Among the main problems in the perception of business information, which limits contact with it: the complexity of the presentation, the accumulation of numerical data, the use of difficult-to-understand terminology. Instead, the interviewees expressed the need for a simplified explanation of the subject of the material (46 %), illustration with specific examples (32 %), integration of the message with social platforms, which naturally updates the infotainment toolkit (16 %). Based on the expectations of the audience, promising recommendations for authors of media content on economic topics are proposed, including: the need to simplify professional concepts, avoid jargon, complex theories without explanation; visualization, as an irreplaceable criterion for interpretation and approximation of the subject of presentation; use of interactive digital platforms; initiation of educational columns, projects, thematic blogs, audio podcasts, selections, digital almanacs dedicated to economic literacy in the media; activities in social networks, systematic educational work in the format of infographics, Stories, Reels; stimulating critical thinking of your audience; use of the principle of convergence of interests, localization of global problems; polyphony of feedback possibilities. An educational infographic has been developed to explain certain aspects of the financial and economic sector that users encounter in everyday life.

Social media interaction and analytics for enhanced educational experiences

In this paper we present an innovative system based on social media and high quality multimedia content delivery designed to enhance the educational experiences of students in cultural centers and museums. The system brings together students that are viewing an educational movie with a panel of experts that may be geographically dispersed, and engages them in an exciting social media experience via which they can interact with each other as well as with the remote experts. We employ appropriate methodologies for monitoring and analysing social network activity in order to extract valuable information from the social network activity and use it to seamlessly annotate in real-time the presented educational movie using anthropocentric semantic extraction based on MPEG-7. In this way, the multimedia content of the presented movie can be easily reviewed by multiple geographically dispersed individuals, and impoved afterwards according to the received feedback, thus maximising the benefit for students, teachers and content producers alike.

Relationship between horizontal collectivism and social network influence among college students: mediating effect of self-monitoring and moderating effect of self-efficacy.

The aim of the present study was to investigate the intrinsic relationship between cultural values and social network index among college students. In addition, the present study explored the mediating role of self-monitoring in the relationship between horizontal collectivism cultural values and social network index, as well as the moderating role of self-efficacy, to provide a theoretical approach based on the intrinsic mechanism for college students to establish a good social network. A simple random cluster sampling method was used to investigate 376 college students with cultural values scale, self-monitoring scale, self-efficacy scale, and social network index scale, structural equation model was constructed using M-plus and SPSS. The result indicated that individual horizontal collectivist cultural values positively predict social network index (β = 0.477). Self-monitoring plays an intermediary role between cultural values and social network index, and self-efficacy plays a moderating role between self-monitoring and social network index. The level of an individual's social network activity is affected by the cultural values of horizontal collectivism and self-monitoring. Improving individual self-monitoring ability and self-efficacy can effectively improve the interpersonal relationships of college students.

The Sharing Economy Increases Social Network Activity and thus the Ability to Realize Traffic

The digital transformation of the 21st century has catalyzed the emergence of two dominant phenomena: the sharing economy and the expansive growth of social networks. This paper meticulously delves into the intricate relationship between these two transformative domains, offering a comprehensive exploration of their convergence and the profound impact this has on consumer behavior, evolving business models, and overarching societal norms. Presently, the landscape is distinctly marked by the democratization of resources, enabling greater access and utilization, coupled with a significant shift in communication paradigms. This shift is predominantly driven by innovative platforms such as Airbnb, Uber, and Facebook, which have redefined user engagement and economic transactions. Peering into the future, it becomes evident that technological advancements, stand at the forefront of refining this convergence. These technologies promise to address and offer robust solutions to prevailing challenges, especially those related to trust, transparency, and tailored personalization. Yet, this promising horizon is interspersed with challenges. Pressing issues such as regulatory frameworks, the imperative of data privacy, and the consistent demand for quality assurance necessitate astute navigation by all stakeholders involved. In summation, the dynamic interplay between the sharing economy and social networks heralds a transformative paradigm shift in the digital age. This shift places a spotlight on sustainability, fosters community collaboration, and champions the ethos of shared value. Stakeholders, ranging from businesses to end consumers, are emphatically encouraged to navigate this evolving digital terrain with adaptability, strategic foresight, and informed prudence.

The Necessity of Cybersecurity for Community Safety The Proposal of the Safe Family Program for Educating the Gulf Arab Community on Information Security for Both Students and Parents

The contemporary landscape of electronic communication technologies is marked by rapid advancement, diverse modalities, and intuitive interfaces, rendering them widely accessible across demographic strata. Notably, the youth cohort, including school students, exhibits a discernible proclivity towards the utilization of social media networks. Regrettably, this escalating adoptionlacks the concomitant implementation of requisite competencies for judicious technological engagement. Furthermore, a perceptible dearth of cognizance is observed among students regarding the gravity of information security and the attendant repercussions of its neglect. This lacuna has precipitated a proliferation of cybersecurity issues, including hacking and electronic coercion. Despite instances of adept technological acumen among some students, they remain susceptible to exploitation by cyber adversaries. This discourse underscores the imperative for comprehensive educational initiatives aimed at fostering responsible and secure digital practices among the burgeoning generation of technology users. This study conducted a survey among diverse groups of male and female students in the Kingdom of Saudi Arabia to identify the primary issues leading to their vulnerability to cyber intrusions. The objective was to derive necessary recommendations for their protection while engaging in social network activities. The study elucidated the importance of educating students about the ramifications of unsafe technology use, emphasizing the preservation of their electronic privacy. Furthermore, this study addressed the exploration of the role of parents in safeguarding their offspring from the perils of cyber intrusion and extortion. The study conducted a comparative analysis between numerous families wherein parents and children had the opportunity for appropriate training in the use of these technologies and those families lacking such training. This comparative approach aimed to elucidate the role of parents in shielding their children from electronic intrusions. The findings of the study underscored a critically significant role for parents in protecting their children from electronic threats, even in cases where the offspring possessed a sufficient educational background in handling these new technologies. The researcher proposed an educational initiative aimed at preserving electronic privacy forstudents, encompassing all categories of public and private education. In addition, a program for parental education was introduced, targeting both mothers and fathers. The objective of this program is to contribute to the elevation of societal security awareness and the protection of children from the imminent dangers posed by electronic threats.

LONGITUDINAL ASSOCIATIONS OF LONELINESS AND FRAILTY IN COMMUNITY DWELLING OLDER ADULTS

Abstract Loneliness is highly prevalent among older adults and is associated with poor health outcomes. This study examined longitudinal associations between loneliness and frailty and the influence of other objective and subjective social measures on these associations. We analyzed data from 1,3111 older adults without dementia at baseline from the Rush Memory and Aging Project (mean age 78.3 ±7.5 years, 72.5% female). Loneliness was assessed using the de Jong Gierveld Loneliness Scale. Frailty was defined using a 39-item cumulative deficit frailty index. Linear mixed effects models were used to examine the association of baseline loneliness and change in frailty over time adjusted for baseline age, gender, education, depressive symptoms, global cognition, social network, marital status, social support, and social, cognitive, and physical activity. Loneliness and frailty both increased significantly over a mean follow-up period of 4.6 years. Baseline loneliness was associated with an additional increase in frailty by 0.3 deficits per year compared to those who were not lonely (p&amp;lt; 0.001, CI 0.2, 0.5). The 0.3 increase in frailty per 1-point increase in loneliness equaled a 27% increase in frailty per year. Loneliness is associated with accelerated frailty and should be considered in the design of interventions to prevent frailty and promote healthy aging.

Transition in the cognitive continuum from normal cognition to dementia: the interplay of lifelong cognitive reserve with brain aging and genetic predisposition

AbstractBackgroundHigher cognitive reserve (CR) has been associated with lower risks of cognitive decline and dementia. In this study, we sought to investigate associations of lifelong CR capacity with transitions of cognitive phenotypes in older adults, while accounting for age, sex, APOE genotype, and pathological load of brain aging.MethodThis population‐based Swedish National study on Aging and Care‐Kungsholmen included 2631 participants (age≥60 years, 61.4% female) free of dementia at baseline (2001‐2004); among them 517 had brain MRI. At baseline, lifelong CR capacity was assessed by integrating early‐life education, midlife occupational complexity, later‐life social network and leisure activity. The load of pathological brain aging was assessed using volumes of grey matter (GM), white matter, hippocampus, and white matter hyperintensity, and count of perivascular space and lacunes. Cognitive impairment no dementia (CIND) and dementia were defined at baseline and across up to 15 years until 2016‐2019. Data were analyzed using the Markov multi‐state model.ResultDuring the mean 10.7 years of follow‐up, 9.0% had incident dementia (95%CI: 7.8%–10.3%). Among people free of CIND at baseline (n = 2023), 27.4% had incident CIND during follow‐up (25.3%–29.6%). Higher lifelong CR capacity (mean value of composite CR score = 0.2; range: ‐4.2‐3.6) was associated with a lower risk of direct transitions from non‐dementia (normal or CIND) to dementia (multivariable‐adjusted HR = 0.84; 95% CI 0.73–0.95) and from normal cognition to CIND (0.79; 0.73–0.85), but not with the direct transitions from normal cognition to dementia (0.86; 0.72–1.03), from CIND to dementia (0.93; 0.76–1.14), or from CIND to normal cognition (1.15; 0.98–1.35). Higher lifelong CR capacity was associated with a lower risk of direct transition from normal cognition to dementia in people with APOE‐ε4 and those with high GM volume (2nd‐4th quartiles), but not in those without APOE‐ε4 or with low GM volume (1st quartile) (P‐for‐interaction&lt;0.05). There was no statistical interaction of CR with age, sex, or other brain MRI markers on cognitive transitions.ConclusionHigher lifelong CR capacity may benefit late‐life cognitive status by reducing the risk of cognitive deterioration to dementia, especially in people with genetic predisposition or with low neurodegenerative load.