David Wing, Bart Roelands, Julie Loebach Wetherell, Jeanne F Nichols, Romain Meeusen, Job G Godino, Joshua S Shimony, Abraham Z Snyder, Tomoyuki Nishino, Ginger E Nicol, Guy Nagels, Lisa T Eyler, Eric J Lenze
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Better understanding these associations may help clarify mechanisms related to brain aging and guide interventional strategies to reduce these changes.</p><p><strong>Methods: </strong>In a large (n = 398) sample of healthy community dwelling older adults that were part of a larger interventional trial, we conducted cross sectional analyses of baseline data to examine the relationships between several modifiable behaviors and resting state functional connectivity within networks associated with cognition and emotional regulation. Additionally, maximal aerobic capacity, physical activity, quality of sleep, and body composition were assessed. Associations were explored both through correlation and best vs. worst group comparisons.</p><p><strong>Results: </strong>Greater cardiovascular fitness, but not larger quantity of daily physical activity, was associated with greater functional connectivity within the Default Mode (p = 0.008 r = 0.142) and Salience Networks (p = 0.005, r = 0.152). Better sleep (greater efficiency and fewer nighttime awakenings) was also associated with greater functional connectivity within multiple networks including the Default Mode, Executive Control, and Salience Networks. When the population was split into quartiles, the highest body fat group displayed higher functional connectivity in the Dorsal Attentional Network compared to the lowest body fat percentage (p = 0.011; 95% CI - 0.0172 to - 0.0023).</p><p><strong>Conclusion: </strong>These findings confirm and expand on previous work indicating that, in older adults, higher levels of cardiovascular fitness and better sleep quality, but not greater quantity of physical activity, total sleep time, or lower body fat percentage are associated with increased functional connectivity within key resting state networks.</p>","PeriodicalId":21788,"journal":{"name":"Sports Medicine - Open","volume":"10 1","pages":"113"},"PeriodicalIF":4.1000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11490599/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cardiorespiratory Fitness and Sleep, but not Physical Activity, are Associated with Functional Connectivity in Older Adults.\",\"authors\":\"David Wing, Bart Roelands, Julie Loebach Wetherell, Jeanne F Nichols, Romain Meeusen, Job G Godino, Joshua S Shimony, Abraham Z Snyder, Tomoyuki Nishino, Ginger E Nicol, Guy Nagels, Lisa T Eyler, Eric J Lenze\",\"doi\":\"10.1186/s40798-024-00778-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Aging results in changes in resting state functional connectivity within key networks associated with cognition. Cardiovascular function, physical activity, sleep, and body composition may influence these age-related changes in the brain. Better understanding these associations may help clarify mechanisms related to brain aging and guide interventional strategies to reduce these changes.</p><p><strong>Methods: </strong>In a large (n = 398) sample of healthy community dwelling older adults that were part of a larger interventional trial, we conducted cross sectional analyses of baseline data to examine the relationships between several modifiable behaviors and resting state functional connectivity within networks associated with cognition and emotional regulation. Additionally, maximal aerobic capacity, physical activity, quality of sleep, and body composition were assessed. Associations were explored both through correlation and best vs. worst group comparisons.</p><p><strong>Results: </strong>Greater cardiovascular fitness, but not larger quantity of daily physical activity, was associated with greater functional connectivity within the Default Mode (p = 0.008 r = 0.142) and Salience Networks (p = 0.005, r = 0.152). Better sleep (greater efficiency and fewer nighttime awakenings) was also associated with greater functional connectivity within multiple networks including the Default Mode, Executive Control, and Salience Networks. When the population was split into quartiles, the highest body fat group displayed higher functional connectivity in the Dorsal Attentional Network compared to the lowest body fat percentage (p = 0.011; 95% CI - 0.0172 to - 0.0023).</p><p><strong>Conclusion: </strong>These findings confirm and expand on previous work indicating that, in older adults, higher levels of cardiovascular fitness and better sleep quality, but not greater quantity of physical activity, total sleep time, or lower body fat percentage are associated with increased functional connectivity within key resting state networks.</p>\",\"PeriodicalId\":21788,\"journal\":{\"name\":\"Sports Medicine - Open\",\"volume\":\"10 1\",\"pages\":\"113\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11490599/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sports Medicine - Open\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40798-024-00778-6\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sports Medicine - Open","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40798-024-00778-6","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景:衰老会导致与认知相关的关键网络的静息状态功能连接发生变化。心血管功能、体力活动、睡眠和身体成分可能会影响大脑中这些与年龄相关的变化。更好地了解这些关联可能有助于阐明与大脑衰老有关的机制,并指导减少这些变化的干预策略:我们对基线数据进行了横断面分析,以研究与认知和情绪调节相关的网络中几种可改变的行为与静息状态功能连通性之间的关系。此外,我们还对最大有氧能力、体力活动、睡眠质量和身体成分进行了评估。研究通过相关性和最佳组与最差组的比较来探讨两者之间的联系:结果:心血管健康水平越高,但日常体育锻炼量越大,则默认模式(p = 0.008,r = 0.142)和 "愉悦 "网络(p = 0.005,r = 0.152)的功能连接性越强。更好的睡眠(更高的效率和更少的夜间觉醒)也与包括默认模式网络、执行控制网络和愉悦网络在内的多个网络的功能连接性更强有关。当把人群分成四等分时,体脂率最高的一组与体脂率最低的一组相比,在背侧注意网络中显示出更高的功能连接性(p = 0.011; 95% CI - 0.0172 to - 0.0023):这些研究结果证实并扩展了之前的研究,即在老年人中,较高的心血管健康水平和较好的睡眠质量,而不是更多的体力活动量、总睡眠时间或较低的体脂率,与关键静息状态网络内功能连接的增加有关。
Cardiorespiratory Fitness and Sleep, but not Physical Activity, are Associated with Functional Connectivity in Older Adults.
Background: Aging results in changes in resting state functional connectivity within key networks associated with cognition. Cardiovascular function, physical activity, sleep, and body composition may influence these age-related changes in the brain. Better understanding these associations may help clarify mechanisms related to brain aging and guide interventional strategies to reduce these changes.
Methods: In a large (n = 398) sample of healthy community dwelling older adults that were part of a larger interventional trial, we conducted cross sectional analyses of baseline data to examine the relationships between several modifiable behaviors and resting state functional connectivity within networks associated with cognition and emotional regulation. Additionally, maximal aerobic capacity, physical activity, quality of sleep, and body composition were assessed. Associations were explored both through correlation and best vs. worst group comparisons.
Results: Greater cardiovascular fitness, but not larger quantity of daily physical activity, was associated with greater functional connectivity within the Default Mode (p = 0.008 r = 0.142) and Salience Networks (p = 0.005, r = 0.152). Better sleep (greater efficiency and fewer nighttime awakenings) was also associated with greater functional connectivity within multiple networks including the Default Mode, Executive Control, and Salience Networks. When the population was split into quartiles, the highest body fat group displayed higher functional connectivity in the Dorsal Attentional Network compared to the lowest body fat percentage (p = 0.011; 95% CI - 0.0172 to - 0.0023).
Conclusion: These findings confirm and expand on previous work indicating that, in older adults, higher levels of cardiovascular fitness and better sleep quality, but not greater quantity of physical activity, total sleep time, or lower body fat percentage are associated with increased functional connectivity within key resting state networks.