This study mainly intended to disentangle the role played by physical reserve as a mediator of the relationship between cognitive reserve and global cognitive functioning in older people aging well. A sample of 120 67–101-year-old community-dwellers was recruited in the Sardinian Blue Zone, an area characterized by the extreme longevity of its inhabitants. Each respondent completed a battery of tests examining cognitive functioning, perceived physical health, cognitive reserve, and physical reserve (objectively assessed through accelerometric-derived measures). Significant associations were found among measures of cognitive reserve, physical reserve, perceived physical health, and cognition. Besides, two mediational analyses pointed out that physical reserve and distinct indexes of cognitive reserve explained 18% and 32% of the variance associated with global cognitive functioning. In conclusion, the combination of high cognitive reserve and more preserved motor functioning seems to contribute to the maintenance of healthy cognition in older people aging well.
AngevarenM.AufdemkampeG.VerhaarH. J.AlemanA.VanheesL. (2008). Physical activity and enhanced fitness to improve cognitive function in older people without known cognitive impairment. Cochrane database of systematic reviews. https://doi.org/10.1002/14651858.CD005381.pub2
2.
BaltesP. B.BaltesM. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. Successful aging: Perspectives from the behavioral sciences, 1(1), 1–34.
3.
BammannK.ThomsonN. K.AlbrechtB. M.BuchanD. S.EastonC. (2021). Generation and validation of ActiGraph GT3X+ accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study. PloS One, 16(6), e0252615. https://doi.org/10.1371/journal.pone.0252615.
4.
BhererL.EricksonK. I.Liu-AmbroseT. (2013). A review of the effects of physical activity and exercise on cognitive and brain functions in older adults. Journal of Aging Research, 2013, 2013, 657508. https://doi.org/10.1155/2013/657508
5.
BoonR. M.HamlinM. J.SteelG. D.RossJ. J. (2010). Validation of the New Zealand physical activity questionnaire (NZPAQ-LF) and the international physical activity questionnaire (IPAQ-LF) with accelerometry. British Journal of Sports Medicine, 44(10), 741–746. https://doi.org/10.1136/bjsm.2008.052167
6.
CabacoA. S.Wobbeking SánchezM.Mejía-RamírezM.Urchaga LitagoJ. D.Castillo RiedelE.Bonete-LópezB. (2023). Mediation effects of cognitive, physical, and motivational reserves on cognitive performance in older people. Frontiers in Psychology, 13, 1112308. https://doi.org/10.3389/fpsyg.2022.1112308
7.
CalamiaM.De VitoA.BernsteinJ. P.WeitznerD. S.CarmichaelO. T.KellerJ. N. (2018). Pedometer-assessed steps per day as a predictor of cognitive performance in older adults. Neuropsychology, 32(8), 941–949. https://doi.org/10.1037/neu0000487
8.
CalatayudE.Lozano-BergesG.Peralta-MarrupeP.LatorreE.Gomez-SoriaI. (2022). Job demands may determine cognitive and physical aging after retirement. Journal of Applied Gerontology: The Official Journal of the Southern Gerontological Society, 41(12), 2435–2446. https://doi.org/10.1177/07334648221120080
9.
CorboI.MarselliG.Di CieroV.CasagrandeM. (2023). The protective role of cognitive reserve in mild cognitive impairment: A systematic review. Journal of Clinical Medicine, 12(5), 1759. https://doi.org/10.3390/jcm12051759
10.
Del Pozo CruzB.AhmadiM.NaismithS. L.StamatakisE.StamatakisE. (2022). Association of daily step count and intensity with incident dementia in 78 430 adults living in the UK. JAMA Neurology, 79(10), 1059–1063. https://doi.org/10.1001/jamaneurol.2022.2672
11.
EtnierJ. L.DrolletteE. S.SlutskyA. B. (2019). Physical activity and cognition: A narrative review of the evidence for older adults. Psychology of Sport and Exercise, 42, 156–166. https://doi.org/10.1016/j.psychsport.2018.12.006
12.
FastameM. C. (2022). Well-being, food habits, and lifestyle for longevity. Preliminary evidence from the Sardinian centenarians and long-lived people of the Blue Zone. Psychology Health & Medicine, 27(3), 728–733. https://doi.org/10.1080/13548506.2022.2038384
13.
FastameM. C.HitchcottP. K.PennaM. P. (2018). The impact of leisure on mental health of Sardinian elderly from the ‘blue zone’: Evidence for ageing well. Aging Clinical and Experimental Research, 30(2), 169–180. https://doi.org/10.1007/s40520-017-0768-x
14.
FastameM. C.MulasI.PutzuV.AsoniG.VialeD.MameliI.PauM. (2022a). Does motor functioning mediate the relationship between executive functions and psychological well-being of atypically developing older adults?Current Psychology, 42(17), 14237–14249. https://doi.org/10.1007/s12144-021-02530-9
15.
FastameM. C.MulasI.PutzuV.AsoniG.VialeD.MameliI.PauM. (2022b). Motor proficiency as a correlate of coping in late adult lifespan. An exploratory study. Anxiety, Stress & Coping, 35(6), 687–700. https://doi.org/10.1080/10615806.2021.2004398
16.
FastameM. C.MulasI.PauM. (2021). Mental health and motor efficiency of older adults living in the Sardinia’s blue zone: A follow-up study. International Psychogeriatrics, 33(12), 1277–1288. https://doi.org/10.1017/S1041610220001659
17.
FaulF.ErdfelderE.LangA. G.BuchnerA. (2007). G* power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
18.
FolsteinM. F.FolsteinS. E.McHughP. R. (1975). Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198. https://doi.org/10.1016/0022-3956(75)90026-6
19.
GodinhoF.MarutaC.BorbinhaC.Pavão MartinsI. (2022). Effect of education on cognitive performance in patients with mild cognitive impairment. Applied neuropsychology, 29(6), 1440–1449. https://doi.org/10.1080/23279095.2021.1887191
20.
GormanE.HansonH. M.YangP. H.KhanK. M.Liu-AmbroseT.AsheM. C. (2014). Accelerometry analysis of physical activity and sedentary behavior in older adults: A systematic review and data analysis. European Review of Aging and Physical Activity, 11(1), 35–49. https://doi.org/10.1007/s11556-013-0132-x
21.
HayesA. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications.
22.
IosaM.FuscoA.MoroneG.PaolucciS. (2014). Development and decline of upright gait stability. Frontiers in Aging Neuroscience, 6, 14. https://doi.org/10.3389/fnagi.2014.00014
23.
KimH.HongJ. P.KangJ. M.KimW. H.MaengS.ChoS. E.NaK. S.OhS. H.ParkJ. W.ChoS. J.BaeJ. N.BaeJ. N. (2021). Cognitive reserve and the effects of virtual reality-based cognitive training on elderly individuals with mild cognitive impairment and normal cognition. Psychogeriatrics, 21(4), 552–559. https://doi.org/10.1111/psyg.12705
24.
KreouziM.TheodorakisN.ConstantinouC. (2022). Lessons learned from blue Zones, lifestyle medicine pillars and beyond: An update on the contributions of behavior and genetics to wellbeing and longevity. American Journal of Lifestyle Medicine. https://doi.org/10.1177/15598276221118494
25.
LegrandR.ManckoundiaP.NuemiG.PoulainM. (2019). Assessment of the health status of the oldest olds living on the Greek island of Ikaria: A population based-study in a blue zone. Current Gerontology and Geriatrics Research, 2019, 8194310. https://doi.org/10.1155/2019/8194310
26.
LegrandR.NuemiG.PoulainM.ManckoundiaP. (2021). Description of lifestyle, including social life, diet and physical activity, of people≥ 90 years living in Ikaria, a longevity blue zone. International Journal of Environmental Research and Public Health, 18(12), 6602. https://doi.org/10.3390/ijerph18126602
27.
LiW.LiY.WenM.LiuB. (2023). Physical activity patterns and cognitive health among older adults in the United States. Journal of Applied Gerontology: The Official Journal of the Southern Gerontological Society, 42(3), 409–418. https://doi.org/10.1177/07334648221139480
28.
LitkouhiP. N.NumbersK.ValenzuelaM.CrawfordJ. D.LamB. C.LitkouhiP. N.SachdevP. S.KochanN. A.BrodatyH.BrodatyH. (2023). Critical periods for cognitive reserve building activities for late life global cognition and cognitive decline: The Sydney memory and aging cohort study. Aging, Neuropsychology, and Cognition, 1–17. https://doi.org/10.1080/13825585.2023.2181941
29.
Madrigal-LeerF.Martìnez-MontandònA.Solìs-UmañaM.Helo-GuzmànF.Alfaro-SalasK.Barrientos-CalvoI.Camacho-MoraZ.Jimènez-PorrasV.Estrada-MonteroS.Morales-MartìnezF.. Clinical, functional, mental and social profile of the Nicoya Peninsula centenarians, Costa Rica, 2020 (2020). Aging Clinical and Experimental Research, 32(2), 313–321. https://doi.org/10.1007/s40520-019-01176-9
30.
MañasA.del Pozo CruzB.EkelundU.Losa ReynaJ.Rodríguez GómezI.Carnicero CarreñoJ. A.Rodríguez MañasL.García GarcíaF. J.AraI. (2022). Association of accelerometer-derived step volume and intensity with hospitalizations and mortality in older adults: A prospective cohort study. Journal of Sport and Health Science, 11(5), 578–585. https://doi.org/10.1016/j.jshs.2021.05.004
31.
MartinčevićM.VranićA. (2023). The higher, the better: Cognitive reserve contributes to lifestyle activities in older age. Applied Neuropsychology, 30(4), 381–388. https://doi.org/10.1080/23279095.2021.1950154
32.
MiguelesJ. H.Cadenas-SanchezC.AlcantaraJ. M.Leal-MartínJ.MañasA.AraI.GlynnN. W.ShiromaE. J. (2021). Calibration and cross-validation of accelerometer cut-points to classify sedentary time and physical activity from hip and non-dominant and dominant wrists in older adults. Sensors, 21(10), 3326. https://doi.org/10.3390/s21103326
33.
MiguelesJ. H.Cadenas-SanchezC.EkelundU.Delisle NyströmC.Mora-GonzalezJ.LöfM.LabayenI.RuizJ. R.OrtegaF. B. (2017). Accelerometer data collection and processing criteria to assess physical activity and other outcomes: A systematic review and practical considerations. Sports Medicine, 47(9), 1821–1845. https://doi.org/10.1007/s40279-017-0716-0
34.
NgueleuA. M.BarthodC.BestK. L.RouthierF.OtisM.BatchoC. S. (2022). Criterion validity of ActiGraph monitoring devices for step counting and distance measurement in adults and older adults: A systematic review. Journal of NeuroEngineering and Rehabilitation, 19(1), 112. https://doi.org/10.1186/s12984-022-01085-5
35.
NucciM.MapelliD.MondiniS. (2012). Cognitive reserve index questionnaire (CRIq): A new instrument for measuring cognitive reserve. Aging Clinical and Experimental Research, 24(3), 218–226. https://doi.org/10.3275/7800
36.
PanagiotakosD. B.ChrysohoouC.SiasosG.ZisimosK.SkoumasJ.PitsavosC.StefanadisC. (2011). Sociodemographic and lifestyle statistics of oldest old people (>80 years) living in Ikaria island: The Ikaria study. Cardiology Research and Practice, 2011, 679187. https://doi.org/10.4061/2011/679187
37.
PoulainM.HermA.PesG. M. (2013). The Blue Zones: Areas of exceptional longevity around the world. Vienna Yearbook of Population Research, 11, 87–108. https://doi.org/10.1553/populationyearbook2013s87
38.
ReasE. T.LaughlinG. A.BergstromJ.Kritz-SilversteinD.McEvoyL. K. (2019). Physical activity and trajectories of cognitive change in community-dwelling older adults: The Rancho Bernardo Study. Journal of Alzheimer’s Disease: JAD, 71(1), 109–118. https://doi.org/10.3233/JAD-190491
39.
ReitanR. M.WolfsonD. (1985). The Halstead-Reitan Neuropsychological Test Battery: Therapy and clinical interpretation. Neuropsychological Press.
40.
RuiuM.CartaV.DeianaC.FastameM. C. (2022). Is the Sardinian blue zone the new Shangri-La for mental health? Evidence on depressive symptoms and its correlates in late adult life span. Aging Clinical and Experimental Research, 34(6), 1315–1322. https://doi.org/10.1007/s40520-021-02068-7
41.
ScarmeasN.SternY. (2003). Cognitive reserve and lifestyle. Journal of Clinical and Experimental Neuropsychology, 25(5), 625–633. https://doi.org/10.1076/jcen.25.5.625.14576
42.
SilfeeV. J.HaughtonC. F.Jake-SchoffmanD. E.Lopez-CeperoA.MayC. N.SreedharaM.RosalM. C.LemonS. C.LemonS. C. (2018). Objective measurement of physical activity outcomes in lifestyle interventions among adults: A systematic review. Preventive Medicine Reports, 11, 74–80. https://doi.org/10.1016/j.pmedr.2018.05.003
43.
SimM.KimS. Y.SuhY. (2022). Sample size requirements for simple and complex mediation models. Educational and Psychological Measurement, 82(1), 76–106. https://doi.org/10.1177/00131644211003261
44.
Spencer-HwangR.TorresX.ValladaresJ.Pasco-RubioM.DoughertyM.KimW. (2018). Adverse childhood experiences among a community of resilient centenarians and seniors: Implications for a chronic disease prevention framework. The Permanente Journal, 22, 17–146. https://doi.org/10.7812/TPP/17-146
45.
SternY.Arenaza-UrquijoE. M.Bartrés-FazD.BellevilleS.CantilonM.ChetelatG.EwersM.FranzmeierN.KempermannG.KremenW. S.OkonkwoO.ScarmeasN.SoldanA.Udeh-MomohC.ValenzuelaM.VemuriP.VuoksimaaE.the Reserve, Resilience and Protective Factors PIA Empirical Definitions and Conceptual Frameworks Workgroup. (2020). Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimer’s and Dementia, 16(9), 1305–1311. https://doi.org/10.1016/j.jalz.2018.07.219
WillcoxD. C.WillcoxB. J.SokolovskyJ.SakiharaS. (2007). The cultural context of “successful aging” among older women weavers in a Northern Okinawan village: The role of productive activity. Journal of Cross-Cultural Gerontology, 22(2), 137–165. https://doi.org/10.1007/s10823-006-9032-0
