Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data.

التفاصيل البيبلوغرافية
العنوان: Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data.
المؤلفون: Danilevicz IM; Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France., van Hees VT; Accelting, Almere, the Netherlands., van der Heide F; Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France., Jacob L; Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France., Landré B; Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France., Benadjaoud MA; Institut de Radioprotection et de Sûreté Nucléaire (IRSN), 31 Av Division Leclerc, 92260, Fontenay-Aux-Roses, France., Sabia S; Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France.; Department of Epidemiology and Public Health, University College London, London, United Kingdom.
المصدر: Research square [Res Sq] 2023 Nov 06. Date of Electronic Publication: 2023 Nov 06.
نوع المنشور: Preprint
اللغة: English
بيانات الدورية: Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE
مستخلص: Accelerometers, devices that measure body movements, have become valuable tools for studying the fragmentation of rest-activity patterns, a core circadian rhythm dimension, using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probability (TP), and self-similarity parameter (named α ). However, their use remains mainly empirical. Therefore, we investigated the mathematical properties and interpretability of rest-activity fragmentation metrics by providing mathematical proofs for the ranges of IS and IV, proposing maximum likelihood and Bayesian estimators for TP, introducing the activity balance index metric, an adaptation of α , and describing distributions of these metrics in real-life setting. Analysis of accelerometer data from 2,859 individuals (age=60-83 years, 21.1% women) from the Whitehall II cohort (UK) shows modest correlations between the metrics, except for ABI and α . Sociodemographic (age, sex, education, employment status) and clinical (body mass index (BMI), and number of morbidities) factors were associated with these metrics, with differences observed according to metrics. For example, a difference of 5 units in BMI was associated with all metrics (differences ranging between -0.261 (95% CI -0.302, -0.220) to 0.228 (0.18, 0.268) for standardised TP rest to activity during the awake period and TP activity to rest during the awake period, respectively). These results reinforce the value of these rest-activity fragmentation metrics in epidemiological and clinical studies to examine their role for health. This paper expands on a set of methods that have previously demonstrated empirical value, improves the theoretical foundation for these methods, and evaluates their empirical worth in a large dataset.
Competing Interests: Additional Declarations: No competing interests reported. Competing Interests The authors declare that they have no competing interests.
التعليقات: Update in: BMC Med Res Methodol. 2024 Jun 7;24(1):132. doi: 10.1186/s12874-024-02255-w. (PMID: 38849718)
References: Stat Biosci. 2019 Jul;11(2):371-402. (PMID: 32440309)
PLoS One. 2013 Apr 23;8(4):e61691. (PMID: 23626718)
Life Sci. 2020 Dec 1;262:118512. (PMID: 33010281)
Sleep Med Rev. 2023 Apr;68:101762. (PMID: 36773596)
Bioinformatics. 2021 Jun 9;37(9):1278-1284. (PMID: 34107041)
Physica A. 2004 Jun;337(1-2):307-18. (PMID: 15759365)
Phys Rev E. 2017 Jul;96(1-1):012141. (PMID: 29347071)
Sci Rep. 2013;3:2229. (PMID: 23863985)
Lancet Healthy Longev. 2020 Dec;1(3):e96-e105. (PMID: 34179863)
Front Endocrinol (Lausanne). 2022 Jun 28;13:907360. (PMID: 35837304)
Sleep Sci. 2014 Sep;7(3):158-64. (PMID: 26483921)
EClinicalMedicine. 2022 Dec 13;55:101773. (PMID: 36568684)
Crit Care Med. 2020 Jun;48(6):862-871. (PMID: 32317592)
Turk J Emerg Med. 2018 Aug 07;18(3):91-93. (PMID: 30191186)
Chronobiol Int. 1999 Jul;16(4):505-18. (PMID: 10442243)
Sleep. 2003 May 1;26(3):337-41. (PMID: 12749556)
Sleep. 2011 Nov 01;34(11):1569-81. (PMID: 22043128)
PLoS One. 2015 Nov 16;10(11):e0142533. (PMID: 26569414)
Med Sci Sports Exerc. 2018 Jun;50(6):1323-1332. (PMID: 29360664)
Biol Psychiatry. 1996 Aug 15;40(4):259-70. (PMID: 8871772)
PLoS One. 2020 Sep 25;15(9):e0239368. (PMID: 32976498)
Chaos. 1995;5(1):82-7. (PMID: 11538314)
Lancet Neurol. 2019 Mar;18(3):307-318. (PMID: 30784558)
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1994 Feb;49(2):1685-9. (PMID: 9961383)
Biol Psychiatry. 1990 Mar 15;27(6):563-72. (PMID: 2322616)
Age Ageing. 2012 Jan;41(1):111-4. (PMID: 21749993)
J Clin Invest. 2017 Feb 1;127(2):437-446. (PMID: 28145903)
Sleep. 2012 May 01;35(5):633-40B. (PMID: 22547889)
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1996 Aug;54(2):2154-2157. (PMID: 9965304)
Sci Transl Med. 2019 Oct 30;11(516):. (PMID: 31666398)
معلومات مُعتمدة: United Kingdom WT_ Wellcome Trust; MR/R024227/1 United Kingdom MRC_ Medical Research Council; R01 AG056477 United States AG NIA NIH HHS; RF1 AG062553 United States AG NIA NIH HHS
فهرسة مساهمة: Keywords: Circadian rhythm; Whitehall II cohort; detrended fluctuation analysis; inter-daily stability; intradaily variability; transition probability
تواريخ الأحداث: Date Created: 20231121 Latest Revision: 20240617
رمز التحديث: 20240617
مُعرف محوري في PubMed: PMC10659546
DOI: 10.21203/rs.3.rs-3543711/v1
PMID: 37986973
قاعدة البيانات: MEDLINE