Principal Component Analysis of the Social and Behavioral Rhythms Scale in elderly

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  • Giulia Cossu
    Department of Medical Sciences and Public Health, University of Cagliari, Italy.
    https://orcid.org/0000-0002-1245-016X
  • Mirian Agus
    Department of Pedagogy, Psychology, Philosophy, University of Cagliari, Italy.
  • Laura Atzori
    Department of Medical Sciences and Public Health, University of Cagliari, Italy.
  • Cesar Ivan Aviles Gonzales
    Universidad del Cesar, Colombia.
    https://orcid.org/0000-0002-1566-1974
  • Luigi Minerba
    Department of Medical Sciences and Public Health, University of Cagliari, Italy.
  • Caterina Ferreli
    Department of Medical Sciences and Public Health, University of Cagliari, Italy.
    https://orcid.org/0000-0002-8223-6791
  • Roberto Puxeddu
    Department of Surgical Sciences, University of Cagliari, Italy.
    https://orcid.org/0000-0003-2829-0583
  • Germano Orrù
    Department of Surgical Sciences, University of Cagliari, Italy.
  • Alessandra Scano
    Department of Surgical Sciences, University of Cagliari, Italy.
    https://orcid.org/0000-0002-4385-8002
  • Ferdinando Romano
    Sapienza University of Rome, Italy.
  • Elisa Pintus
    Department of Medical Sciences and Public Health, University of Cagliari, Italy.
  • Maria Petronilla Penna
    Department of Pedagogy, Psychology, Philosophy, University of Cagliari, Italy. https://orcid.org/0000-0002-0982-3893
  • Mauro Giovanni Carta
    Department of Medical Sciences and Public Health, University of Cagliari, Italy.

ABSTRACT

Background: Changes in social and behavioral rhythms (SBR) in elderly are related to health status. Nevertheless, there is no data on factor analysis of the Brief Social Rhythm Scale (BSRS) an internationally well-known tool in this field. The aim was to analyze, in elderly, the factorial structure of the Italian version of BSRS.

Design and Methods: 
Principal Component Analysis of the BSRS carried out in elderly living at home.

Results: 
Sample of 141 participants (83 Females, 58,9%), aged 72.3±4.8. All the items of the questionnaire were related and could compose a single factor, explaining 56% of variance. A solution adopting two factors, the first (including items 1,2,3,4,9,10), the second (including items 5,6,7,8), covered cumulatively 78.8% of the variance.

Conclusion: 
The study confirms that the BSRS is consistent with the idea for which it was built and can be useful for the study of regularity of SBR in old adults.

REFERENCES

Wyatt JK, Ritz-De Cecco A, Czeisler CA, Dijk DJ. Circadian temperature and melatonin rhythms, sleep, and neurobehavioral function in humans living on a 20-h day. Am J Physiol 1999;277:R1152–63. DOI: https://doi.org/10.1152/ajpregu.1999.277.4.R1152

Zhdanova IV, Masuda K, Quasarano-Kourkoulis C, et al. Aging of intrinsic circadian rhythms and sleep in a diurnal nonhuman primate, Macaca mulatta. J Biol Rhythms 2011;26:149-59. DOI: https://doi.org/10.1177/0748730410395849

Van Cauter E, Leproult R, Plat L. Age-related changes in slow wave sleep and REM sleep and relationship with growth hormone and cortisol levels in healthy men. JAMA 2000;284:861-8. DOI: https://doi.org/10.1001/jama.284.7.861

Stone KL, et al. Sleep disturbances and risk of falls in older community-dwelling men: the outcomes of Sleep Disorders in Older Men (MrOS Sleep) Study. J Am Geriatr Soc 2014 Fb;62:299-305. DOI: https://doi.org/10.1111/jgs.12649

Monk TH, Buysse DJ, Carrier J, Kupfer DJ. Inducing jet-lag in older people: directional asymmetry. J Sleep Res 2000;9:101-16. DOI: https://doi.org/10.1046/j.1365-2869.2000.00184.x

Davidson AJ, Sellix MT, Daniel J, et al. Chronic jet-lag increases mortality in aged mice. Curr Biol 2006;16:R914–6. DOI: https://doi.org/10.1016/j.cub.2006.09.058

Carta MG, Cossu G, Pintus E, et al. Moderate exercise improves cognitive function in healthy elderly people: results of a randomized controlled trial. Clin Pract Epidemiol Ment Health 2021;17:75-80. DOI: https://doi.org/10.2174/1745017902117010075

Dijk DJ, Duffy JF, Czeisler CA. Contribution of circadian physiology and sleep homeostasis to age-related changes in human sleep. Chronobiol Int 2000;17:285-311. DOI: https://doi.org/10.1081/CBI-100101049

Karlamangla AS, Merkin SS, Almeida DM, et al. Early-life adversity and dysregulation of adult diurnal cortisol rhythm. J Gerontol B Psychol Sci Soc Sci 2019;74:160-9. DOI: https://doi.org/10.1093/geronb/gby097

Carta MG, Preti A, Akiskal HS. Coping with the new era: Noise and light pollution, hyperactivity and steroid hormones. Towards an evolutionary view of bipolar disorders. Clin Pract Epidemiol Ment Health 2018;14:33-6. DOI: https://doi.org/10.2174/1745017901814010033

Carta MG, Ouali U, Perra A, et al. Living with bipolar disorder in the time of Covid-19: biorhythms during the severe lockdown in Cagliari, Italy, and the moderate lockdown in Tunis, Tunisia. Front Psychiatry 2021;12:634765. DOI: https://doi.org/10.3389/fpsyt.2021.634765

Makizako H, Nakai Y, Shiratsuchi D, et al. Perceived declining physical and cognitive fitness during the COVID-19 state of emergency among community-dwelling Japanese old-old adults. Geriatr Gerontol Int 2021;21:364-9. DOI: https://doi.org/10.1111/ggi.14140

Carta MG, Cossu G, Pintus E, et al. Active elderly and health-can moderate exercise improve health and wellbeing in older adults? Protocol for a randomized controlled trial. Trials 2021;22:331. DOI: https://doi.org/10.1186/s13063-021-05278-6

Monk TH, Flaherty JF, Frank E, et al. The Social Rhythm Metric. An instrument to quantify the daily rhythms of life. J Nerv Ment Dis 1990;178:120-6. DOI: https://doi.org/10.1097/00005053-199002000-00007

Margraf J, Lavallee K, Zhang X, Schneider S. Social Rhythm and Mental Health: A cross-cultural comparison. PLoS One 2016;11:e0150312. DOI: https://doi.org/10.1371/journal.pone.0150312

Stenvers DJ, Scheer FAJL, Schrauwen P, et al. Circadian clocks and insulin resistance. Nat Rev Endocrinol 2019;15:75-89. DOI: https://doi.org/10.1038/s41574-018-0122-1

Borel AL. Sleep apnea and sleep habits: Relationships with metabolic syndrome. Nutrients 2019 2;11:2628. DOI: https://doi.org/10.3390/nu11112628

Oliveira de Carvalho A, Filho ASS, Murillo-Rodriguez E, et al. Physical exercise for Parkinson's disease: Clinical and experimental evidence. Clin Pract Epidemiol Ment Health 2018;14:89-98. DOI: https://doi.org/10.2174/1745017901814010089

International Monetary Fund. Global financial stability report: the quest for lasting stability. Accessed on: May 2020. Available from: https://www.imf.org/en/Publications/GFSR/Issues/2016/12/31/The-Quest-for- Lasting-Stability

Carta MG, Atzeni M, Perra A, et al. Cost-effectiveness of US National Institute of Health and European Union FP7 Projects on active ageing and elderly quality of life-Author's reply. Clin Pract Epidemiol Ment Health 2019;23;15:10-14. DOI: https://doi.org/10.2174/1745017901915010010

Kirilov I, Atzeni M, Perra A, et al. Active aging and elderly's quality of life: Comparing the impact on literature of projects funded by the European Union and USA. Clin Pract Epidemiol Ment Health 2018;14:1-5. DOI: https://doi.org/10.2174/1745017901814010001

 

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