Innovation in Aging最新文献

{"title":"From the Outgoing Editor-in-Chief of <i>Innovation in Aging</i>.","authors":"Steven M Albert","doi":"10.1093/geroni/igae103","DOIUrl":"10.1093/geroni/igae103","url":null,"abstract":"","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 12","pages":"igae103"},"PeriodicalIF":4.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142812557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Voice-Activated Technologies to Enhance Well-Being of Older Adults in Long-Term Care Homes.","authors":"Alisa Grigorovich, Ashley-Ann Marcotte, Romeo Colobong, Margaret Szabo, Carlee MacNeill, Daniel Blais, Gail Giffin, Ken Clahane, Ian P Goldman, Bessie Harris, Abby Clarke Caseley, Melanie Gaunt, Jessica Vickery, Christina Torrealba, Susan Kirkland, Pia Kontos","doi":"10.1093/geroni/igae102","DOIUrl":"10.1093/geroni/igae102","url":null,"abstract":"<p><strong>Background and objectives: </strong>Information communication technologies (ICTs) can enhance older adults' health and well-being. Most research on the use of voice-activated ICTs by older adults has focused on the experiences of individuals living in the community, excluding those who live in long-term care homes. Given evidence of the potential benefits of such technologies to mitigate social isolation and loneliness, more research is needed about their impacts in long-term care home settings. With this in mind, we evaluated impacts and engagement of older adults with voice- and touchscreen-activated ICTs in one long-term care home in Canada.</p><p><strong>Research design and methods: </strong>Interviews were conducted with older adults who were provided with a Google Nest Hub Max and with staff as part of a larger implementation study. Participants completed semistructured interviews before the technology was implemented, and again at 6 and 12 months. The interviews were recorded, transcribed, and analyzed using thematic analysis techniques.</p><p><strong>Results: </strong>We found that residents primarily used the technologies to engage in self-directed digital leisure and to engage with others both in and outside the home, and that this in turn enhanced their comfort, pleasure, and social connectedness. We also identified ongoing barriers to their engagement with the technology, including both personal and structural factors.</p><p><strong>Discussion and implications: </strong>Our findings suggest that implementation of voice-activated ICTs can bring added value to broader efforts to improve well-being and quality of life in long-term care by enhancing choice, self-determination, and meaningful relationships.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 12","pages":"igae102"},"PeriodicalIF":4.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11630282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142812720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grandchild Care and Grandparents' Well-Being in Context: The Impact of the COVID-19 pandemic.","authors":"Mareike Bünning, Oliver Huxhold","doi":"10.1093/geroni/igae101","DOIUrl":"10.1093/geroni/igae101","url":null,"abstract":"<p><strong>Background and objectives: </strong>This study investigates whether the association between supplementary grandchild care and grandparents' subjective well-being-measured as life satisfaction, perceived stress, and loneliness-is moderated by the contextual environment. We use the coronavirus disease (COVID-19) pandemic as an example of contextual differences. Drawing on role theory, we argue that the costs and benefits of grandparenting may have differed between pandemic and prepandemic times. On the one hand, providing grandchild care during the pandemic may have been particularly stressful, prompting more negative effects on well-being. On the other hand, grandchild care may have been particularly relevant for enhancing well-being, as it protected grandparents from social isolation. Moreover, the association between grandparenting and well-being may have differed by gender.</p><p><strong>Research design and methods: </strong>Using unbalanced panel data from the German Ageing Survey (DEAS) 2014 (<i>n</i> = 3,619), 2017 (<i>n</i> = 2,458), and 2020 (<i>n</i> = 2,021), we applied maximum likelihood structural equation modeling (ML-SEM)<b>-</b>a method that combines dynamic panel modeling with fixed-effects analysis<b>-</b>to examine whether there were differences in the relationship between grandchild care and grandparents' well-being when comparing pandemic and prepandemic times and by grandparents' gender.</p><p><strong>Results: </strong>Grandchild care was associated with lower loneliness for both grandmothers and grandfathers. For grandfathers, this association was even stronger during the pandemic. Grandmothers experienced higher life satisfaction when taking care of grandchildren during the pandemic, but there was no evidence that grandchild care increased perceived stress for either grandmothers or grandfathers.</p><p><strong>Discussion and implications: </strong>In line with role enhancement theory, this study highlights that supplementary grandchild care can be beneficial for grandparents' well-being. Moreover, the context in which grandchild care takes place shapes the costs and rewards associated with it. Our results suggest that supportive policies and programs facilitating grandchild care can enhance grandparents' well-being, especially in challenging contexts.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 12","pages":"igae101"},"PeriodicalIF":4.9,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11630762/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142812716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Representing the Needs of Rural Caregivers of People Living With Alzheimer's Disease and Related Dementias Through User Personas.","authors":"Anna Jolliff, Jordan R Hill, Matthew Zuraw, Christian Elliott, Nicole E Werner","doi":"10.1093/geroni/igae096","DOIUrl":"https://doi.org/10.1093/geroni/igae096","url":null,"abstract":"<p><strong>Background and objectives: </strong>Rural caregivers of people living with Alzheimer's disease and related dementias (ADRD) face unique caregiving challenges. Current interventions do not address many of the systemic barriers experienced by rural ADRD caregivers, including barriers related to geography, healthcare services access, and financial insecurity. The objective of this study was to gain a deeper understanding of rural ADRD caregivers' needs, strengths, and strategies in obtaining caregiving support, and to represent these attributes in the form of personas that can be used to design interventions for rural ADRD caregivers.</p><p><strong>Research design and methods: </strong>In this qualitative user-centered design study, we conducted semistructured interviews with self-identified caregivers of people living with ADRD in rural areas. Interview data was copied to a virtual whiteboard, and affinity diagramming was used to confirm a priori attributes and yield inductive attributes relevant to rural ADRD caregivers. Attributes were assigned to personas, which were then validated through team-based discussion, consultation with a study advisory board, and review by rural caregivers and community partners.</p><p><strong>Results: </strong>Analyses of <i>N</i> = 19 interviews yielded 7 inductive attributes relevant to rural ADRD caregivers of persons living with ADRD and 5 distinct personas: Capable Christine, Connected Connie, Isolated Irene, Learning Larry, and Discerning Dan. Personas differed on inductive attributes including financial security, subjective rurality, attitudes, connectedness, and information behavior, including preferences for traditional versus technology-based information seeking.</p><p><strong>Discussion and implications: </strong>The personas identified in the present study can be used as tools to represent and efficiently communicate the intersection and interaction of attributes relevant to designing interventions and technologies to meet the support needs of rural ADRD caregivers.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 12","pages":"igae096"},"PeriodicalIF":4.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11648308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142835615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in Alcohol Intake by Educational Level Among Older Men and Women in Spain During the 21st Century.","authors":"Marta Donat, Julieta Politi, Juan Miguel Guerras, Luis Sordo, Lucia Cea-Soriano, Jose Pulido, Elena Ronda, Enrique Regidor, Gregorio Barrio, Maria José Belza","doi":"10.1093/geroni/igae097","DOIUrl":"10.1093/geroni/igae097","url":null,"abstract":"<p><strong>Background and objectives: </strong>Despite alcohol use being very common in older adults, studies are scarce and suggest alcohol use may be increasing. Furthermore, despite the known relationship between education and alcohol consumption, there is limited evidence of educational differences in older adults. Our objective was to describe trends in alcohol consumption in individuals aged ≥65 by sex and educational level in Spain.</p><p><strong>Research design and methods: </strong>In total, 43,157 participants aged ≥65 years were drawn from Spain's national health surveys between 2001 and 2020, representing the noninstitutionalized population. The outcomes were various measures of self-reported past-year alcohol intake. Age-standardized rates and negative binomial regression models were used to examine trends and differences in alcohol intake by educational level, sex, and period (2001-2009 vs 2011-2020).</p><p><strong>Results: </strong>The average daily alcohol intake and prevalence of heavy average drinking (>20/10 g/day) decreased over time, especially among men, whereas moderate average drinking remained unchanged or even increased. Alcohol intake increased with increasing educational levels. All drinking measures showed educational inequalities, and these were greater in women than men. The mean amount of drinking showed the greatest inequality, with adjusted prevalence ratio of 2.6 in women and 1.1 in men between university relative to primary education level.</p><p><strong>Discussion and implications: </strong>Alcohol intake in older adults decreased over time in Spain for heavy average drinking and average drinking amount, although not for moderate average drinking. Consumption remains highest among the highest educational levels, which may negatively affect health. Programs addressing alcohol consumption among older adults are needed to minimize alcohol-related harm.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 12","pages":"igae097"},"PeriodicalIF":4.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11630288/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142812481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Life-Course Multidisciplinary Psychosocial Predictors of Dementia Among Older Adults: Results From the Health and Retirement Study.","authors":"Sayaka Kuwayama, Wassim Tarraf, Kevin A González, Freddie Márquez, Hector M González","doi":"10.1093/geroni/igae092","DOIUrl":"10.1093/geroni/igae092","url":null,"abstract":"<p><strong>Background and objectives: </strong>Identifying predictors of dementia may help improve risk assessments, increase awareness for risk reduction, and identify potential targets for interventions. We use a life-course psychosocial multidisciplinary modeling framework to examine leading predictors of dementia incidence.</p><p><strong>Research design and methods: </strong>We use data from the Health and Retirement Study to measure 57 psychosocial factors across 7 different domains: (i) demographics, (ii) childhood experiences, (iii) socioeconomic conditions, (iv) health behaviors, (v) social connections, (vi) psychological characteristics, and (vii) adverse adulthood experiences. Our outcome is dementia incidence (over 8 years) operationalized using Langa-Weir classification for adults aged 65+ years who meet criteria for normal cognition at the baseline when all psychosocial factors are measured (<i>N</i> = 1 784 in training set and <i>N</i> = 1 611 in testing set). We compare the standard statistical method (Logistic regression) with machine learning (ML) method (Random Forest) in identifying predictors across the disciplines of interest.</p><p><strong>Results: </strong>Standard and ML methods identified predictors that spanned multiple disciplines. The standard statistical methods identified lower education and childhood financial duress as among the leading predictors of dementia incidence. The ML method differed in their identification of predictors.</p><p><strong>Discussion and implications: </strong>The findings emphasize the importance of upstream risk and protective factors and the long-reaching impact of childhood experiences on cognitive health. The ML approach highlights the importance of life-course multidisciplinary frameworks for improving evidence-based interventions for dementia. Further investigations are needed to identify how complex interactions of life-course factors can be addressed through interventions.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 11","pages":"igae092"},"PeriodicalIF":4.9,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557907/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142619467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What Characteristics Modify the Relation of Neighborhood Walkability and Walking Behavior in Older Adults?","authors":"Andrea L Rosso, Kyle D Moored, Alyson B Harding, Stephanie Studenski, Todd Bear, Geeta Acharya, Caterina Rosano","doi":"10.1093/geroni/igae095","DOIUrl":"10.1093/geroni/igae095","url":null,"abstract":"<p><strong>Background and objectives: </strong>Neighborhood walkability can influence walking behaviors in older adults. However, its associations of walkability with walking may differ by demographic, socioeconomic, health, social, and residential characteristics due to factors such as increased vulnerability to environmental factors or increased resilience.</p><p><strong>Research design and methods: </strong>In a sample of older adults (<i>n</i> = 493, median age = 82 [range 78-89], 56% female, 31% Black), a walkability index was derived from audits of Google Street View images of participants' immediate neighborhoods. Walking was self-reported in the past week. Effect modifiers by demographic (age, race, gender, marital status), socioeconomic (education, income), health (gait speed, falls, knee pain, depressive symptoms, cognitive status, perceived energy), social (driving status, social engagement), and residential/neighborhood (residence type, neighborhood socioeconomic status [SES], population density) characteristics were assessed by interaction terms in logistic regression models, adjusted for gender, race, gait speed, prior falls, high depressive symptoms, currently driving, and cognitive status. When effect modification was suggested (<i>p</i> for interaction <.1), adjusted analyses of walkability with walking stratified on the effect modifier were conducted.</p><p><strong>Results: </strong>In this sample, 59% walked in the past week and greater walkability was associated with greater odds of walking (odds ratio [OR] = 1.16, 95% confidence interval [CI]: 1.01-1.34). This association (<i>p</i> for interaction range 0.002-0.07) was present for those who were not currently married (OR = 1.35, 95% CI: 1.17-1.56), who reported knee pain (OR = 1.40, 95% CI: 1.14-1.72) or high depressive symptoms (OR = 1.30, 95% CI: 1.06-1.60), or who had declining cognitive function (OR = 1.30, 95% CI: 1.09-1.55).</p><p><strong>Discussion and implications: </strong>High walkability may influence physical activity, particularly for those with vulnerabilities related to social, pain, and brain health characteristics. These results should inform neighborhood planning and targeted interventions for vulnerable older adults.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 11","pages":"igae095"},"PeriodicalIF":4.9,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557906/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142619510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender Selectively Mediates the Association Between Sex and Memory in Cognitively Normal Older Adults.","authors":"Linzy Bohn, Astrid Y Han, G Peggy McFall, Shannon M Drouin, Jacqueline A Pettersen, M Natasha Rajah, Gillian Einstein, Kaarin J Anstey, Roger A Dixon","doi":"10.1093/geroni/igae094","DOIUrl":"10.1093/geroni/igae094","url":null,"abstract":"<p><strong>Background and objectives: </strong>Sex and gender are important topics of increasing interest in aging and dementia research. Few studies have jointly examined sex (as a biological attribute) and gender (as a sociocultural and behavioral characteristic) within a single study. We explored a novel data mining approach to include both sex and gender as potentially related influences in memory aging research.</p><p><strong>Research design and methods: </strong>Participants were 746 cognitively normal older adults from the Victoria Longitudinal Study. First, we adapted the <i>Gender Outcomes INternational Group: To Further Well-being Development (GOING-FWD)</i> framework-which is informed by gender dimensions of the Women's Health Research Network-to identify, extract, and operationalize gender-related variables in the database. Second, we applied principal component analysis (PCA) to a pool of potential gender variables for creating empirically derived gender-related components. Third, we verified the expected pattern of sex differences in memory performance and evaluated each gender-related component as a potential mediator of the observed sex-memory association.</p><p><strong>Results: </strong>Systematic data mining produced a roster of potential gender-related variables, 56 of which corresponded to gender dimensions represented in the GOING-FWD framework. The PCA revealed 6 gender-related components (<i>n</i> indicators = 37): Manual Non-Routine Household Tasks, Subjective Memory Beliefs, Leisure Free Time, Social and Routine Household Management, Health Perceptions and Practices, and Brain Games. We observed sex differences in latent memory performance whereby females outperformed males. Sex differences in memory performance were mediated by Manual Non-Routine Household Tasks, Social and Routine Household Management, and Brain Games. Follow-up analyses showed that education also mediated the sex-memory association.</p><p><strong>Discussion and implications: </strong>We show that (i) data mining can identify and operationalize gender-related variables in archival aging and dementia databases, (ii) these variables can be examined for associations with sex, and (iii) sex differences in memory performance are mediated by selected facets of gender.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 11","pages":"igae094"},"PeriodicalIF":4.9,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11565197/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Association Between Social Isolation and Incident Dementia Among Older Adults: Evidence From National Health and Aging Trend Study.","authors":"Yong Yang, Yu Jiang","doi":"10.1093/geroni/igae093","DOIUrl":"https://doi.org/10.1093/geroni/igae093","url":null,"abstract":"<p><strong>Background and objectives: </strong>Older adults are vulnerable to social isolation, making it crucial to understand its impact on dementia risk. Yet, existing evidence lacks consistency, with studies using varied measures of social isolation and overlooking potential confounders. We aim to investigate the associations between social isolation and dementia risk among older adults, hypothesizing that this association may diminish after adjusting for confounding factors.</p><p><strong>Research design and methods: </strong>We used 2 977 community-dwelling older adults who had no dementia in 2015 from National Health and Aging Trends. Group-based trajectory modeling was used to analyze the trajectories of social isolation, depression, and anxiety from 2011 to 2015. Cox proportional hazards regression models were then employed to estimate the association between social isolation trajectories and incident dementia from 2015 to 2022, adjusting for demographic variables, depression, anxiety, self-rated health, smoking status, and cardiovascular disease-related variables.</p><p><strong>Results: </strong>Three social isolation trajectories were identified: minimal, moderate, and high levels of social isolation. During a mean follow-up of 3.6 years, 19.0% of participants were diagnosed with dementia. When only demographics were adjusted, individuals in the moderate social isolation group were 22% less likely to develop dementia compared to those with high social isolation. This association between social isolation and incident dementia became nonsignificant after further adjustment for depression, anxiety, and health indicators.</p><p><strong>Discussion and implications: </strong>The association between social isolation and dementia risk may be mediated by factors such as depression and other health indicators.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 10","pages":"igae093"},"PeriodicalIF":4.9,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520738/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142545323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effects of Social Interaction Intervention on Cognitive Functions Among Older Adults Without Dementia: A Systematic Review and Meta-Analysis.","authors":"Chi-Chuan Wei, Min-Jia Hsieh, Yi-Fang Chuang","doi":"10.1093/geroni/igae084","DOIUrl":"https://doi.org/10.1093/geroni/igae084","url":null,"abstract":"<p><strong>Background and objectives: </strong>Previous systemic reviews, predominantly including observational studies, have shown that participation in social activities is a protective factor against cognitive decline. However, this association is subject to potential reverse causality, creating a knowledge gap in our understanding of the effect of social interaction interventions on cognitive function. Therefore, this study aims to conduct a systematic review and meta-analysis of randomized controlled trials to examine the effects of social interaction interventions on cognitive decline among older adults without dementia.</p><p><strong>Research design and methods: </strong>This systematic review, registered in PROSPERO (CRD42022367828), systematically searched 6 databases from inception to May 6, 2022, to identify relevant articles on the effects of activities with social interaction components on cognitive function in community-dwelling older adults without dementia aged above 60. Two independent reviewers conducted study selection, data extraction, and bias assessment, with RevMan5.3 used for meta-analysis. Subgroup analysis was conducted to assess variation in intervention effects among subgroups.</p><p><strong>Results: </strong>We included 11 studies for qualitative analysis and 8 studies for the meta-analysis. The results showed that social interaction intervention had a significant effect on executive function (standardized mean difference [SMD] = 1.60; 95% CI, 0.50 to 2.70; <i>p</i> = .004), but not attention and memory. The subgroup analysis showed a greater cognitive benefit for healthy older adults, but not those with mild cognitive impairment. Moreover, in-person social interaction positively affected global cognition, whereas online interaction did not.</p><p><strong>Discussion and implications: </strong>Social interaction interventions have a limited impact on cognitive function in older adults without dementia but showed potential effects on executive function. This finding offers insights for implementing social intervention in the community.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"8 10","pages":"igae084"},"PeriodicalIF":4.9,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11500712/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142499640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}