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Gepubliceerd in:

20-01-2025

Proof-of-concept for integrating multimodal digital health assessments into lifestyle interventions for older adults with dementia risk factors

Auteurs: Matthew W. Schroeder, Madelyn R. Frumkin, Ryan A. Mace

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 2/2025

Abstract

Multimodal digital health assessments overcome the limitations of patient-reported outcomes by allowing for continuous and passive monitoring but remain underutilized in older adult lifestyle interventions for brain health. Therefore, we aim to (1) report ecological momentary assessment (EMA) and ActiGraph adherence among older adults during a lifestyle intervention; and (2) use dynamic data collected via EMA and ActiGraph to examine person-specific patterns of mindfulness, steps, and sleep throughout the intervention. We analyzed EMA and ActiGraph data from a pilot study of the 8-week My Healthy Brain program (N = 10) lifestyle group for older adults (60+) with subjective cognitive decline. EMA adherence metrics included proportion of EMA completed and the proportion of days with at least 10 mindfulness minutes. ActiGraph GT9X adherence metrics included the number of valid wear days (≥ 7 h) and the number of days participants achieved their step goal. We used linear mixed-effects models to examine person-specific patterns of step count, sleep efficiency, and mindfulness practice. On average, participants completed 39 of the 49 possible EMAs (80%) during the program. ActiGraph adherence was slightly higher than EMA (M = 61.40 days, 87.71%). Participants achieved the daily mindfulness goal (10 min/day) and step goal on 46.32% and 55.10% of days, respectively. Dynamic data revealed that on average, participant step counts increased by approximately 16.5 steps per day (b = 16.495, p = 0.002). However, some participants exhibited no changes while improvements made by other participants returned to baseline levels of activity. There was substantial heterogeneity in trajectories of mindfulness practice and sleep efficiency. EMA and ActiGraph are feasible for older adults enrolled in dementia risk reduction lifestyle interventions. Future studies are needed to better understand how mechanisms of lifestyle behaviors captured by EMA and ActiGraph are related to cognitive outcomes in older adults.

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Aadland, E., & Ylvisåker, E. (2015). Reliability of the Actigraph GT3X+ accelerometer in adults under free-living conditions. PLoS ONE, 10, e0134606. https://doi.org/10.1371/journal.pone.0134606CrossRefPubMedPubMedCentral

ActiLife. (2013). ActiLife website. www.theactigraph.com

Aguilar-Farías, N., Brown, W. J., & Peeters, G. M. E. E. G. (2014). ActiGraph GT3X+ cut-points for identifying sedentary behaviour in older adults in free-living environments. Journal of Science and Medicine in Sport, 17, 293–299. https://doi.org/10.1016/j.jsams.2013.07.002CrossRefPubMed

Alzheimer’s Association. (2023). 2023 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 19(4), 1598–1695. https://doi.org/10.1002/alz.13016

Andel, R., Crowe, M., Pedersen, N. L., Fratiglioni, L., Johansson, B., & Gatz, M. (2008). Physical exercise at midlife and risk of dementia three decades later: A population-based study of Swedish twins. The Journals of Gerontology. Series a, Biological Sciences and Medical Sciences, 63, 62–66.CrossRefPubMed

Andrieu, S., Guyonnet, S., Coley, N., Cantet, C., Bonnefoy, M., Bordes, S., Bories, L., Cufi, M.-N., Dantoine, T., Dartigues, J.-F., Desclaux, F., Gabelle, A., Gasnier, Y., Pesce, A., Sudres, K., Touchon, J., Robert, P., Rouaud, O., Legrand, P., … Olivier-Abbal, P. (2017). Effect of long-term omega 3 polyunsaturated fatty acid supplementation with or without multidomain intervention on cognitive function in elderly adults with memory complaints (MAPT): A randomised, placebo-controlled trial. The Lancet Neurology, 16, 377–389. https://doi.org/10.1016/S1474-4422(17)30040-6

Barnes, D. E., & Yaffe, K. (2011). The projected effect of risk factor reduction on Alzheimer’s disease prevalence. The Lancet Neurology, 10, 819–828. https://doi.org/10.1016/S1474-4422(11)70072-2CrossRefPubMedPubMedCentral

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48. https://doi.org/10.18637/jss.v067.i01CrossRef

Baumgart, M., Snyder, H. M., Carrillo, M. C., Fazio, S., Kim, H., & Johns, H. (2015). Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimer’s & Dementia: THe Journal of the Alzheimer’s Association, 11, 718–726. https://doi.org/10.1016/j.jalz.2015.05.016CrossRef

Beaudreau, S. A., Spira, A. P., Stewart, A., Kezirian, E. J., Lui, L.-Y., Ensrud, K., Redline, S., Ancoli-Israel, S., & Stone, K. L. (2012). Validation of the Pittsburgh sleep quality index and the Epworth sleepiness scale in older black and white women. Sleep Medicine, 13, 36–42. https://doi.org/10.1016/j.sleep.2011.04.005CrossRefPubMed

Brandt, J., Spencer, M., & Folstein, M. (1988). The telephone interview for cognitive status. Neuropsychiatry, Neuropsychology, and Behavioral Neurology, 1, 111–117.

Brookmeyer, R., Abdalla, N., Kawas, C. H., & Corrada, M. M. (2018). Forecasting the prevalence of preclinical and clinical Alzheimer’s disease in the United States. Alzheimer’s & Dementia: THe Journal of the Alzheimer’s Association, 14, 121–129. https://doi.org/10.1016/j.jalz.2017.10.009CrossRef

Brown, W., Bauman, A., Chey, T., Trost, S., & Mummery, K. (2004). Comparison of surveys used to measure physical activity. Australian and New Zealand Journal of Public Health, 28, 128–134.CrossRefPubMed

Buchman, A. S., Boyle, P. A., Yu, L., Shah, R. C., Wilson, R. S., & Bennett, D. A. (2012). Total daily physical activity and the risk of AD and cognitive decline in older adults. Neurology, 78, 1323–1329. https://doi.org/10.1212/WNL.0b013e3182535d35CrossRefPubMedPubMedCentral

Buchman, A. S., Wang, T., Oveisgharan, S., Zammit, A. R., Yu, L., Li, P., Hu, K., Hausdorff, J. M., Lim, A. S. P., & Bennett, D. A. (2023). Correlates of person-specific rates of change in sensor-derived physical activity metrics of daily living in the rush memory and aging project. Sensors, 23, 8. https://doi.org/10.3390/s23084152CrossRef

Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28, 193–213. https://doi.org/10.1016/0165-1781(89)90047-4CrossRefPubMed

Cain, A. E., Depp, C. A., & Jeste, D. V. (2009). Ecological momentary assessment in aging research: A critical review. Journal of Psychiatric Research, 43, 987–996. https://doi.org/10.1016/j.jpsychires.2009.01.014CrossRefPubMedPubMedCentral

Cellini, N., Buman, M. P., McDevitt, E. A., Ricker, A. A., & Mednick, S. C. (2013). Direct comparison of two actigraphy devices with polysomnographically recorded naps in healthy young adults. Chronobiology International, 30, 691–698. https://doi.org/10.3109/07420528.2013.782312CrossRefPubMed

Choi, L., Liu, Z., Matthews, C. E., & Buchowski, M. S. (2011). Validation of accelerometer wear and nonwear time classification algorithm. Medicine and Science in Sports and Exercise, 43, 357–364. https://doi.org/10.1249/MSS.0b013e3181ed61a3CrossRefPubMedPubMedCentral

Chung, J., Brakey, H. R., Reeder, B., Myers, O., & Demiris, G. (2023). Community-dwelling older adults’ acceptance of smartwatches for health and location tracking. International Journal of Older People Nursing, 18, e12490. https://doi.org/10.1111/opn.12490CrossRefPubMed

Cole, R. J., Kripke, D. F., Gruen, W., Mullaney, D. J., & Gillin, J. C. (1992). Automatic sleep/wake identification from wrist activity. Sleep, 15, 461–469. https://doi.org/10.1093/sleep/15.5.461CrossRefPubMed

Cooper, C., Li, R., Lyketsos, C., & Livingston, G. (2013). Treatment for mild cognitive impairment: Systematic review. British Journal of Psychiatry, 203, 255–264. https://doi.org/10.1192/bjp.bp.113.127811CrossRef

del Pozo Cruz, B., Ahmadi, M., Naismith, S. L., & Stamatakis, E. (2022). Association of daily step count and intensity with incident dementia in 78 430 adults living in the UK. JAMA Neurology, 79, 1059–1063. https://doi.org/10.1001/jamaneurol.2022.2672CrossRefPubMedPubMedCentral

Doorley, J. D., Mace, R. A., Popok, P. J., Grunberg, V. A., Ragnhildstveit, A., & Vranceanu, A.-M. (2022). Feasibility randomized controlled trial of a mind-body activity program for older adults with chronic pain and cognitive decline: The virtual “active brains” study. The Gerontologist, 62, 1082–1094. https://doi.org/10.1093/geront/gnab135CrossRefPubMed

Doran, G. T. (1981). There’sa SMART way to write management’s goals and objectives. Management Review, 70, 35.

Dunton, G. F., Atienza, A. A., Castro, C. M., & King, A. C. (2009). Using ecological momentary assessment to examine antecedents and correlates of physical activity bouts in adults age 50+years: A pilot study. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 38, 249–255. https://doi.org/10.1007/s12160-009-9141-4CrossRefPubMed

Erickson, K. I., Leckie, R. L., & Weinstein, A. M. (2014). Physical activity, fitness, and gray matter volume. Neurobiology of Aging, 35, S20–S28. https://doi.org/10.1016/j.neurobiolaging.2014.03.034CrossRefPubMed

Erkinjuntti, T., Sulkava, R., Wikström, J., & Autio, L. (1987). Short portable mental status questionnaire as a screening test for dementia and delirium among the elderly. Journal of the American Geriatrics Society, 35, 412–416. https://doi.org/10.1111/j.1532-5415.1987.tb04662.xCrossRefPubMed

Evenson, K. R., & Wen, F. (2015). Performance of the ActiGraph accelerometer using a national population-based sample of youth and adults. BMC Research Notes, 8, 7. https://doi.org/10.1186/s13104-014-0970-2CrossRefPubMedPubMedCentral

Feldman, G., Hayes, A., Kumar, S., Greeson, J., & Laurenceau, J.-P. (2007). Mindfulness and emotion regulation: The development and initial validation of the cognitive and affective mindfulness scale-revised (CAMS-R). Journal of Psychopathology and Behavioral Assessment, 29, 177–190. https://doi.org/10.1007/s10862-006-9035-8CrossRef

Fogelholm, M. I., Malmberg, J. A., Suni, J., Santtila, M. A., Kyrolainen, H., Mantysaari, M., & Oja, P. (2006). International physical activity questionnaire: Validity against fitness. Medicine & Science in Sports & Exercise, 38, 753–760. https://doi.org/10.1249/01.mss.0000194075.16960.20CrossRef

Fordyce, W. E. (1984). Behavioural science and chronic pain. Postgraduate Medical Journal, 60, Article 710.

Forman, E. M., Goldstein, S. P., Zhang, F., Evans, B. C., Manasse, S. M., Butryn, M. L., Juarascio, A. S., Abichandani, P., Martin, G. J., & Foster, G. D. (2019). OnTrack: Development and feasibility of a smartphone app designed to predict and prevent dietary lapses. Translational Behavioral Medicine, 9, 236–245. https://doi.org/10.1093/tbm/iby016CrossRefPubMed

Geda, Y. E., Roberts, R. O., Knopman, D. S., Christianson, T. J. H., Pankratz, V. S., Ivnik, R. J., Boeve, B. F., Tangalos, E. G., Petersen, R. C., & Rocca, W. A. (2010). Physical exercise, aging, and mild cognitive impairment: A population-based study. Archives of Neurology. https://doi.org/10.1001/archneurol.2009.297CrossRefPubMedPubMedCentral

Guo, J., Brickman, A. M., Manly, J. J., Reitz, C., Schupf, N., Mayeux, R. P., & Gu, Y. (2021). Association of life’s simple 7 with incident dementia and its modification by the apolipoprotein E genotype. Alzheimer’s & Dementia, 17, 1905–1913. https://doi.org/10.1002/alz.12359CrossRef

Hamer, M., & Chida, Y. (2009). Physical activity and risk of neurodegenerative disease: A systematic review of prospective evidence. Psychological Medicine, 39, 3–11. https://doi.org/10.1017/S0033291708003681CrossRefPubMed

Hartman, Y. A. W., Karssemeijer, E. G. A., van Diepen, L. A. M., Olde Rikkert, M. G. M., & Thijssen, D. H. J. (2018). Dementia patients are more sedentary and less physically active than age- and sex-matched cognitively healthy older adults. Dementia and Geriatric Cognitive Disorders, 46, 81–89. https://doi.org/10.1159/000491995CrossRefPubMed

Harris, P. A., Taylor, R., Minor, B. L., Elliott, V., Fernandez, M., O’Neal, L., McLeod, L., Delacqua, G., Delacqua, F., Kirby, J., Duda, S. N., & REDCap Consortium (2019). The REDCap consortium: Building an international community of software platform partners. Journal of biomedical informatics, 95, 103208. https://doi.org/10.1016/j.jbi.2019.103208

Hirshkowitz, M., Whiton, K., Albert, S. M., Alessi, C., Bruni, O., DonCarlos, L., Hazen, N., Herman, J., Adams Hillard, P. J., Katz, E. S., Kheirandish-Gozal, L., Neubauer, D. N., O’Donnell, A. E., Ohayon, M., Peever, J., Rawding, R., Sachdeva, R. C., Setters, B., Vitiello, M. V., & Ware, J. C. (2015). National sleep foundation’s updated sleep duration recommendations: Final report. Sleep Health, 1, 233–243. https://doi.org/10.1016/j.sleh.2015.10.004CrossRefPubMed

Huhn, S., Axt, M., Gunga, H.-C., Maggioni, M. A., Munga, S., Obor, D., Sié, A., Boudo, V., Bunker, A., Sauerborn, R., Bärnighausen, T., & Barteit, S. (2022). The impact of wearable technologies in health research: Scoping review. JMIR mHealth and uHealth, 10, e34384. https://doi.org/10.2196/34384CrossRefPubMedPubMedCentral

Jarva, E., Oikarinen, A., Andersson, J., Tuomikoski, A.-M., Kääriäinen, M., Meriläinen, M., & Mikkonen, K. (2022). Healthcare professionals’ perceptions of digital health competence: A qualitative descriptive study. Nursing Open, 9, 1379–1393. https://doi.org/10.1002/nop2.1184CrossRefPubMedPubMedCentral

Jessen, F. (2014). Subjective and objective cognitive decline at the pre-dementia stage of Alzheimer’s disease. European Archives of Psychiatry and Clinical Neuroscience, 264, S3-7. https://doi.org/10.1007/s00406-014-0539-zCrossRefPubMed

Jia, J., Zhao, T., Liu, Z., Liang, Y., Li, F., Li, Y., Liu, W., Li, F., Shi, S., Zhou, C., Yang, H., Liao, Z., Li, Y., Zhao, H., Zhang, J., Zhang, K., Kan, M., Yang, S., Li, H., … Cummings, J. (2023). Association between healthy lifestyle and memory decline in older adults: 10 year, population based, prospective cohort study. BMJ, 380, e072691. https://doi.org/10.1136/bmj-2022-072691

Kennedy-Malone, L., Hevel, D. J., Sappenfield, K. B., Scheer, H., Zecca, C., & Maher, J. P. (2022). Low-income, older african americans’ engagement in and perceptions of a smartphone-based ecological momentary assessment study of physical activity and sedentary behavior. Innovation in Aging, 6, igab056. https://doi.org/10.1093/geroni/igab056CrossRefPubMed

Kim, M. (2015). Association between objectively measured sleep quality and obesity in community-dwelling adults aged 80 years or older: A cross-sectional study. Journal of Korean Medical Science, 30, 199–206. https://doi.org/10.3346/jkms.2015.30.2.199CrossRefPubMedPubMedCentral

Lam, L.C.-W., Chan, W. C., Leung, T., Fung, A.W.-T., & Leung, E.M.-F. (2015). Would older adults with mild cognitive impairment adhere to and benefit from a structured lifestyle activity intervention to enhance cognition?: A cluster randomized controlled trial. PLoS ONE, 10, e0118173. https://doi.org/10.1371/journal.pone.0118173CrossRefPubMedPubMedCentral

Lancaster, G. A., Dodd, S., & Williamson, P. R. (2004). Design and analysis of pilot studies: Recommendations for good practice. Journal of Evaluation in Clinical Practice, 10, 307–312. https://doi.org/10.1111/j.2002.384.doc.xCrossRefPubMed

Landry, G. J., Best, J. R., & Liu-Ambrose, T. (2015). Measuring sleep quality in older adults: A comparison using subjective and objective methods. Frontiers in Aging Neuroscience, 7, 166. https://doi.org/10.3389/fnagi.2015.00166CrossRefPubMedPubMedCentral

Lenze, E. J., & Wetherell, J. L. (2009). Bringing the bedside to the bench, and then to the community: A prospectus for intervention research in late-life anxiety disorders. International Journal of Geriatric Psychiatry, 24, 1–14. https://doi.org/10.1002/gps.2074CrossRefPubMedPubMedCentral

Leon, A. C., Davis, L. L., & Kraemer, H. C. (2011). The role and interpretation of pilot studies in clinical research. Journal of Psychiatric Research, 45, 626–629. https://doi.org/10.1016/j.jpsychires.2010.10.008CrossRefPubMed

Liu, C.-C., Liu, C.-C., Kanekiyo, T., Xu, H., & Bu, G. (2013). Apolipoprotein E and Alzheimer disease: Risk, mechanisms and therapy. Nature Reviews. Neurology, 9, 106. https://doi.org/10.1038/nrneurol.2012.263CrossRefPubMedPubMedCentral

Livingston, G., Huntley, J., Liu, K. Y., Costafreda, S. G., Selbæk, G., Alladi, S., Ames, D., Banerjee, S., Burns, A., Brayne, C., Fox, N. C., Ferri, C. P., Gitlin, L. N., Howard, R., Kales, H. C., Kivimäki, M., Larson, E. B., Nakasujja, N., Rockwood, K., Samus, Q., … Mukadam, N. (2024). Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet (London, England), 404(10452), 572–628. https://doi.org/10.1016/S0140-6736(24)01296-0

Lysen, T. S., Luik, A. I., Ikram, M. K., Tiemeier, H., & Ikram, M. A. (2020). Actigraphy-estimated sleep and 24-hour activity rhythms and the risk of dementia. Alzheimer’s & Dementia, 16, 1259–1267. https://doi.org/10.1002/alz.12122CrossRef

Mace, R. A., Greenberg, J., Stauder, M., Reynolds, G., & Vranceanu, A.-M. (2022a). My Healthy Brain: A multimodal lifestyle program to promote brain health. Aging & Mental Health, 26(5), 980–991. https://doi.org/10.1080/13607863.2021.1904828

Mace, R. A., Mattos, M. K., & Vranceanu, A.-M. (2022b). Older adults can use technology: Why healthcare professionals must overcome ageism in digital health. Translational Behavioral Medicine, ibac070. https://doi.org/10.1093/tbm/ibac070

Mace, R. A., Popok, P. J., Hopkins, S. W., Fishbein, N. S., & Vranceanu, A. M. (2022c). Adaptation and virtual feasibility pilot of a mindfulness-based lifestyle program targeting modifiable dementia risk factors in older adults. Aging & Mental Health, 27(4), 695–707. https://doi.org/10.1080/13607863.2022.2032600

Maher, J. P., Rebar, A. L., & Dunton, G. F. (2018). Ecological momentary assessment is a feasible and valid methodological tool to measure older adults’ physical activity and sedentary behavior. Frontiers in Psychology, 9, 1485. https://doi.org/10.3389/fpsyg.2018.01485CrossRefPubMedPubMedCentral

Maher, J. P., Rebar, A. L., & Dunton, G. F. (2021a). The influence of context stability on physical activity and sedentary behaviour habit and behaviour: An ecological momentary assessment study. British Journal of Health Psychology, 26, 861–881. https://doi.org/10.1111/bjhp.12509CrossRefPubMed

Maher, J. P., Sappenfield, K., Scheer, H., Zecca, C., Hevel, D. J., & Kennedy-Malone, L. (2021b). Feasibility and validity of assessing low-income, African American older adults’ physical activity and sedentary behavior through ecological momentary assessment. Journal for the Measurement of Physical Behaviour, 4, 343–352. https://doi.org/10.1123/jmpb.2021-0024CrossRef

McMaster, M., Kim, S., Clare, L., Torres, S. J., Cherbuin, N., D’Este, C., & Anstey, K. J. (2020). Lifestyle risk factors and cognitive outcomes from the multidomain dementia risk reduction randomized controlled trial, body brain life for cognitive decline (BBL-CD). Journal of the American Geriatrics Society, 68, 2629. https://doi.org/10.1111/jgs.16762CrossRefPubMed

Moll van Charante, E. P., Richard, E., Eurelings, L. S., van Dalen, J.-W., Ligthart, S. A., van Bussel, E. F., Hoevenaar-Blom, M. P., Vermeulen, M., & van Gool, W. A. (2016). Effectiveness of a 6-year multidomain vascular care intervention to prevent dementia (preDIVA): A cluster-randomised controlled trial. Lancet (London, England), 388, 797–805. https://doi.org/10.1016/S0140-6736(16)30950-3CrossRefPubMed

Moore, R. C., Depp, C. A., Wetherell, J. L., & Lenze, E. J. (2016). Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults. Journal of Psychiatric Research, 75, 116–123. https://doi.org/10.1016/j.jpsychires.2016.01.011CrossRefPubMedPubMedCentral

Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005). The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.xCrossRefPubMed

Ngandu, T., Lehtisalo, J., Solomon, A., Levälahti, E., Ahtiluoto, S., Antikainen, R., Bäckman, L., Hänninen, T., Jula, A., Laatikainen, T., Lindström, J., Mangialasche, F., Paajanen, T., Pajala, S., Peltonen, M., Rauramaa, R., Stigsdotter-Neely, A., Strandberg, T., Tuomilehto, J., … Kivipelto, M. (2015). A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial. Lancet (London, England), 385, 2255–2263. https://doi.org/10.1016/S0140-6736(15)60461-5

Nielsen, L., Riddle, M., King, J. W., NIH Science of Behavior Change Implementation Team, Aklin, W. M., Chen, W., Clark, D., Collier, E., Czajkowski, S., Esposito, L., Ferrer, R., Green, P., Hunter, C., Kehl, K., King, R., Onken, L., Simmons, J. M., Stoeckel, L., Stoney, C., … Weber, W. (2018). The NIH Science of Behavior Change Program: Transforming the science through a focus on mechanisms of change. Behaviour Research and Therapy, 101, 3–11. https://doi.org/10.1016/j.brat.2017.07.002

Nielson, W. R., Jensen, M. P., Karsdorp, P. A., & Vlaeyen, J. W. S. (2013). Activity pacing in chronic pain: Concepts, evidence, and future directions. The Clinical Journal of Pain, 29, 461–468. https://doi.org/10.1097/AJP.0b013e3182608561CrossRefPubMed

Qualtrics. (2020). [Computer software]. Quatrics, Provo, UT, USA. https://www.qualtrics.com

R Core Team. (2020). R: A Language and Environment for Statistical Computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/

Reuter-Lorenz, P. A., & Park, D. C. (2014). How does it STAC up? Revisiting the scaffolding theory of aging and cognition. Neuropsychology Review, 24, 355–370. https://doi.org/10.1007/s11065-014-9270-9CrossRefPubMedPubMedCentral

Rose, M., Bjorner, J. B., Becker, J., Fries, J. F., & Ware, J. E. (2008). Evaluation of a preliminary physical function item bank supported the expected advantages of the patient-reported outcomes measurement information system (PROMIS). Journal of Clinical Epidemiology, 61, 17–33. https://doi.org/10.1016/j.jclinepi.2006.06.025CrossRefPubMed

Rose, M., Bjorner, J. B., Gandek, B., Bruce, B., Fries, J. F., & Ware, J. E., Jr (2014). The PROMIS Physical Function item bank was calibrated to a standardized metric and shown to improve measurement efficiency. Journal of Clinical Epidemiology, 67(5), 516–526. https://doi.org/10.1016/j.jclinepi.2013.10.024

Rosenberger, M. E., Buman, M. P., Haskell, W. L., McConnell, M. V., & Carstensen, L. L. (2016). Twenty-four hours of sleep, sedentary behavior, and physical activity with nine wearable devices. Medicine and Science in Sports and Exercise, 48, 457–465. https://doi.org/10.1249/MSS.0000000000000778CrossRefPubMedPubMedCentral

RStudio Team. (2019). RStudio: Integrated Development Environment for R [Computer software]. RStudio, Inc. http://www.rstudio.com/

Sabia, S., Fayosse, A., Dumurgier, J., Schnitzler, A., Empana, J.-P., Ebmeier, K. P., Dugravot, A., Kivimäki, M., & Singh-Manoux, A. (2019). Association of ideal cardiovascular health at age 50 with incidence of dementia: 25 year follow-up of Whitehall II cohort study. BMJ, 366, l4414. https://doi.org/10.1136/bmj.l4414CrossRefPubMedPubMedCentral

Schneider, S., Junghaenel, D. U., Smyth, J. M., Fred Wen, C. K., & Stone, A. A. (2023). Just-in-time adaptive ecological momentary assessment (JITA-EMA). Behavior Research Methods. https://doi.org/10.3758/s13428-023-02083-8CrossRefPubMedPubMedCentral

Schrack, J. A., Cooper, R., Koster, A., Shiroma, E. J., Murabito, J. M., Rejeski, W. J., Ferrucci, L., & Harris, T. B. (2016). Assessing daily physical activity in older adults: Unraveling the complexity of monitors, measures, and methods. The Journals of Gerontology Series a: Biological Sciences and Medical Sciences, 71, 1039–1048. https://doi.org/10.1093/gerona/glw026CrossRefPubMedPubMedCentral

Schuman-Olivier, Z., Trombka, M., Lovas, D. A., Brewer, J. A., Vago, D. R., Gawande, R., Dunne, J. P., Lazar, S. W., Loucks, E. B., & Fulwiler, C. (2020). Mindfulness and behavior change. Harvard Review of Psychiatry, 28, 371–394. https://doi.org/10.1097/HRP.0000000000000277CrossRefPubMedPubMedCentral

Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32. https://doi.org/10.1146/annurev.clinpsy.3.022806.091415CrossRefPubMed

Shiyko, M. P., Perkins, S., & Caldwell, L. (2017). Feasibility and adherence paradigm to ecological momentary assessments in urban minority youth. Psychological Assessment, 29, 926–934. https://doi.org/10.1037/pas0000386CrossRefPubMedPubMedCentral

SPRINT MIND Investigators for the SPRINT Research Group, Williamson, J. D., Pajewski, N. M., Auchus, A. P., Bryan, R. N., Chelune, G., Cheung, A. K., Cleveland, M. L., Coker, L. H., Crowe, M. G., Cushman, W. C., Cutler, J. A., Davatzikos, C., Desiderio, L., Erus, G., Fine, L. J., Gaussoin, S. A., Harris, D., Hsieh, M.-K., … Wright, C. B. (2019). Effect of intensive vs standard blood pressure control on probable dementia: A randomized clinical trial. JAMA, 321, 553–561. https://doi.org/10.1001/jama.2018.21442

Stafford, J., Chung, W. T., Sommerlad, A., Kirkbride, J. B., & Howard, R. (2022). Psychiatric disorders and risk of subsequent dementia: Systematic review and meta-analysis of longitudinal studies. International Journal of Geriatric Psychiatry. https://doi.org/10.1002/gps.5711CrossRefPubMedPubMedCentral

Stone, A. A., Broderick, J. E., Junghaenel, D. U., Schneider, S., & Schwartz, J. E. (2016). PROMIS fatigue, pain intensity, pain interference, pain behavior, physical function, depression, anxiety, and anger scales demonstrate ecological validity. Journal of Clinical Epidemiology, 74, 194–206. https://doi.org/10.1016/j.jclinepi.2015.08.029CrossRefPubMed

Tomaszewski Farias, S., Mungas, D., Harvey, D. J., Simmons, A., Reed, B. R., & Decarli, C. (2011). The measurement of everyday cognition: Development and validation of a short form of the everyday cognition scales. Alzheimer’s & Dementia: THe Journal of the Alzheimer’s Association, 7, 593–601. https://doi.org/10.1016/j.jalz.2011.02.007CrossRef

Tsai, L.-T., Boyle, E., Brønd, J. C., Kock, G., Skjødt, M., Hvid, L. G., & Caserotti, P. (2021). Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults. BMC Geriatrics, 21, 53. https://doi.org/10.1186/s12877-020-01856-6CrossRefPubMedPubMedCentral

Tudor-Locke, C., & Bassett, D. R. (2004). How many steps/day are enough? Preliminary pedometer indices for public health. Sports Medicine (Auckland, N.z.), 34, 1–8. https://doi.org/10.2165/00007256-200434010-00001CrossRefPubMed

Vaz Fragoso, C. A., & Gill, T. M. (2007). Sleep complaints in community-living older persons: A multifactorial geriatric syndrome. Journal of the American Geriatrics Society, 55, 1853–1866. https://doi.org/10.1111/j.1532-5415.2007.01399.xCrossRefPubMedPubMedCentral

Wetherell, J. L., Ripperger, H. S., Voegtle, M., Ances, B. M., Balota, D., Bower, E. S., Depp, C., Eyler, L., Foster, E. R., Head, D., Hershey, T., Hickman, S., Kamantigue, N., Klein, S., Miller, J. P., Yingling, M. D., Nichols, J., Nicol, G. E., Patterson, B. W., … MEDEX Research Group. (2020). Mindfulness, education, and exercise for age-related cognitive decline: Study protocol, pilot study results, and description of the baseline sample. Clinical Trials (London, England), 17, 581–594. https://doi.org/10.1177/1740774520931864

World Health Organization. (2015). The Epidemiology and Impact of Dementia: Current State and Future Trends. Retrieved from http://www.who.int/mental_health/neurology/dementia/dementia_thematicbrief_epidemiology.pdf

Xu, W., Tan, L., Wang, H.-F., Jiang, T., Tan, M.-S., Tan, L., Zhao, Q.-F., Li, J.-Q., Wang, J., & Yu, J.-T. (2015). Meta-analysis of modifiable risk factors for Alzheimer’s disease. Journal of Neurology, Neurosurgery & Psychiatry. https://doi.org/10.1136/jnnp-2015-310548CrossRef

Zitser, J., Allen, I. E., Falgàs, N., Le, M. M., Neylan, T. C., Kramer, J. H., & Walsh, C. M. (2022). Pittsburgh sleep quality index (PSQI) responses are modulated by total sleep time and wake after sleep onset in healthy older adults. PLoS ONE, 17, e0270095. https://doi.org/10.1371/journal.pone.0270095CrossRefPubMedPubMedCentral

Titel: Proof-of-concept for integrating multimodal digital health assessments into lifestyle interventions for older adults with dementia risk factors
Auteurs: Matthew W. Schroeder
Madelyn R. Frumkin
Ryan A. Mace
Publicatiedatum: 20-01-2025
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 2/2025
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-024-00546-7

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Proof-of-concept for integrating multimodal digital health assessments into lifestyle interventions for older adults with dementia risk factors

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Andere artikelen Uitgave 2/2025

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