Digital health device measured sleep duration and ideal cardiovascular health: an observational study

Jane A Leopold, Elliott M Antman, Jane A Leopold, Elliott M Antman

Abstract

Background: Studies relying on self-reported sleep data suggest that there is an association between short and long sleep duration and less than ideal cardiovascular health. Evidence regarding the feasibility of using digital health devices to measure sleep duration and assess its relationship to ideal cardiovascular health are lacking. The objective of the present study was to utilize digital health devices to record sleep duration and examine the relationship between sleep duration and ideal cardiovascular health.

Methods: A total of 307 participants transmitted sleep duration data from digital health devices and answered the Life's Simple 7 survey instrument to assess ideal cardiovascular health. Sleep duration was defined as adequate (7 to < 9 h per night) or non-adequate (< 7 h and ≥ 9 h).

Results: We identified three sleep-cardiovascular health phenogroups: resilient (non-adequate sleep and ideal cardiovascular health), uncoupled (adequate sleep and non-ideal cardiovascular health) or concordant (sleep and cardiovascular health metrics were aligned). Participants in the resilient phenogroup (n = 83) had better cardiovascular health factor profiles (blood pressure, blood glucose and cholesterol levels) and behaviors (healthy weight, diet, exercise, smoking) than participants in the concordant (n = 171) and uncoupled (n = 53) phenogroups. This was associated with higher Life's Simple 7 Health Scores in the resilient phenogroup compared to the concordant and uncoupled phenogroups (7.8 ± 0.8 vs. 7.0 ± 1.4 vs. 5.6 ± 0.7, P < 0.01).

Conclusion: This study identified three distinct sleep-ideal cardiovascular health phenogroups and highlights the advantage of incorporating sleep assessments into studies of cardiovascular health. Future studies should focus on the relationship between sleep-cardiovascular phenogroups and clinical outcomes. Clinical Trial Registration Clinicaltrials.gov NCT02958098. Date of registration: November 11, 2016.

Keywords: Digital health devices; Ideal cardiovascular health; Phenogroups; Sleep; Surveys.

Conflict of interest statement

The authors declare no competing interests related to this work. The funders participated in the design of the study. The funders had no role in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

© 2021. The Author(s).

Figures

Fig. 1
Fig. 1
Study Flowchart
Fig. 2
Fig. 2
Relationship between sleep and cardiovascular health score to define phenogroups. Sleep duration was defined as adequate (≥ 7 to  7), intermediate (Life’s Simple 7 Health Score: > 5 to ≤ 7), or poor (≤ 5). The relationship between sleep and cardiovascular health score revealed three phenogroups: resilient, defined by ideal cardiovascular health and non-adequate sleep (n = 83); uncoupled, defined by intermediate or poor cardiovascular health, but adequate sleep (n = 53); and concordant where sleep duration and cardiovascular health measures were aligned with adequate sleep and ideal cardiovascular health or non-adequate sleep and intermediate or poor cardiovascular health (n = 171)
Fig. 3
Fig. 3
Phenogroup differences in Life’s Simple 7 health factors and behaviors scored as ideal. The 7 health factors and behaviors categories are scored as poor, intermediate, or ideal based on pre-defined criteria. The number of health factors scored as ideal for each of the phenogroups is shown. Resilient (n = 83), Concordant (n = 171), Uncoupled (n = 53). *P < 0.01 among groups by Pearson’s chi-squared test. P < 0.01 Resilient versus Concordant, Resilient versus Uncoupled and Concordant versus Uncoupled by post-hoc Bonferroni multiple comparisons test
Fig. 4
Fig. 4
Life’s Simple 7 Health Score calculated using self-reported data. The distribution of Life’s Simple 7 Health Scores is compared between the resilient (n = 83), concordant (n = 171), and uncoupled (n = 53) phenogroups and presented as violin plots. The median and quartiles are denoted by dashed lines. *P < 0.01 among groups by Kruskal–Wallis rank test. P < 0.01 Resilient versus Concordant, Resilient versus Uncoupled and Concordant versus Uncoupled by Dunn’s post hoc test

References

    1. Liu Y, Wheaton AG, Chapman DP, Cunningham TJ, Lu H, Croft JB. Prevalence of healthy sleep duration among adults–United States, 2014. MMWR Morb Mortal Wkly Rep. 2016;65(6):137–141. doi: 10.15585/mmwr.mm6506a1.
    1. Watson NF, Horn E, Duncan GE, Buchwald D, Vitiello MV, Turkheimer E. Sleep duration and area-level deprivation in twins. Sleep. 2016;39(1):67–77. doi: 10.5665/sleep.5320.
    1. Yin J, Jin X, Shan Z, Li S, Huang H, Li P, et al. Relationship of sleep duration with all-cause mortality and cardiovascular events: a systematic review and dose-response meta-analysis of prospective cohort studies. J Am Heart Assoc. 2017;6(9):e005947. doi: 10.1161/JAHA.117.005947.
    1. Covassin N, Singh P. Sleep duration and cardiovascular disease risk: epidemiologic and experimental evidence. Sleep Med Clin. 2016;11(1):81–89. doi: 10.1016/j.jsmc.2015.10.007.
    1. Aggarwal S, Loomba RS, Arora RR, Molnar J. Associations between sleep duration and prevalence of cardiovascular events. Clin Cardiol. 2013;36(11):671–676. doi: 10.1002/clc.22160.
    1. Liu Y, Wheaton AG, Chapman DP, Croft JB. Sleep duration and chronic diseases among U.S. adults age 45 years and older: evidence from the 2010 Behavioral Risk Factor Surveillance System. Sleep. 2013;36(10):1421–1427. doi: 10.5665/sleep.3028.
    1. Sabanayagam C, Shankar A. Sleep duration and cardiovascular disease: results from the National Health Interview Survey. Sleep. 2010;33(8):1037–1042. doi: 10.1093/sleep/33.8.1037.
    1. Merikanto I, Lahti T, Puolijoki H, Vanhala M, Peltonen M, Laatikainen T, et al. Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes. Chronobiol Int. 2013;30(4):470–477. doi: 10.3109/07420528.2012.741171.
    1. Fang J, Wheaton AG, Keenan NL, Greenlund KJ, Perry GS, Croft JB. Association of sleep duration and hypertension among US adults varies by age and sex. Am J Hypertens. 2012;25(3):335–341. doi: 10.1038/ajh.2011.201.
    1. Gangwisch JE, Feskanich D, Malaspina D, Shen S, Forman JP. Sleep duration and risk for hypertension in women: results from the nurses' health study. Am J Hypertens. 2013;26(7):903–911. doi: 10.1093/ajh/hpt044.
    1. Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation. 2010;121(4):586–613. doi: 10.1161/CIRCULATIONAHA.109.192703.
    1. Sanchez E. Life's simple 7: vital but not easy. J Am Heart Assoc. 2018;7(11):e009324. doi: 10.1161/JAHA.118.009324.
    1. Enserro DM, Vasan RS, Xanthakis V. Twenty-year trends in the American Heart Association Cardiovascular Health Score and impact on subclinical and clinical cardiovascular disease: the framingham offspring study. J Am Heart Assoc. 2018;7(11):e008741. doi: 10.1161/JAHA.118.008741.
    1. Corlin L, Short MI, Vasan RS, Xanthakis V. Association of the duration of ideal cardiovascular health through adulthood with cardiometabolic outcomes and mortality in the framingham offspring study. JAMA Cardiol. 2020;5(5):549–556. doi: 10.1001/jamacardio.2020.0109.
    1. Nguyen ATH, Saeed A, Bambs CE, Swanson J, Emechebe N, Mansuri F, et al. Usefulness of the American Heart Association's ideal cardiovascular health measure to predict long-term major adverse cardiovascular events (From the Heart SCORE Study) Am J Cardiol. 2021;138:20–25. doi: 10.1016/j.amjcard.2020.10.019.
    1. Ramirez-Velez R, Saavedra JM, Lobelo F, Celis-Morales CA, Pozo-Cruz BD, Garcia-Hermoso A. Ideal cardiovascular health and incident cardiovascular disease among adults: a systematic review and meta-analysis. Mayo Clin Proc. 2018;93(11):1589–1599. doi: 10.1016/j.mayocp.2018.05.035.
    1. Ommerborn MJ, Blackshear CT, Hickson DA, Griswold ME, Kwatra J, Djousse L, et al. Ideal cardiovascular health and incident cardiovascular events: the jackson heart study. Am J Prev Med. 2016;51(4):502–506. doi: 10.1016/j.amepre.2016.07.003.
    1. Makarem N, St-Onge MP, Liao M, Lloyd-Jones DM, Aggarwal B. Association of sleep characteristics with cardiovascular health among women and differences by race/ethnicity and menopausal status: findings from the American Heart Association Go Red for Women Strategically Focused Research Network. Sleep Health. 2019;5(5):501–508. doi: 10.1016/j.sleh.2019.05.005.
    1. Cash RE, Beverly Hery CM, Panchal AR, Bower JK. Association between sleep duration and ideal cardiovascular health among US adults, national health and nutrition examination survey, 2013–2016. Prev Chronic Dis. 2020;17:E43. doi: 10.5888/pcd17.190424.
    1. Leopold JA, Davis RB, Antman EM. Data from digital health devices informs ideal cardiovascular health. J Personal Med. 2021;11(3):189. doi: 10.3390/jpm11030189.
    1. Haghayegh S, Khoshnevis S, Smolensky MH, Diller KR, Castriotta RJ. Accuracy of wristband fitbit models in assessing sleep: systematic review and meta-analysis. J Med Internet Res. 2019;21(11):e16273. doi: 10.2196/16273.
    1. Angell SY, McConnell MV, Anderson CAM, Bibbins-Domingo K, Boyle DS, Capewell S, et al. The American Heart Association 2030 Impact Goal: a presidential advisory from the American Heart Association. Circulation. 2020;141(9):e120–e138. doi: 10.1161/CIR.0000000000000758.
    1. Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, et al. Heart disease and stroke statistics-2020 update: a report from the American Heart Association. Circulation. 2020;141(9):e139–e596. doi: 10.1161/CIR.0000000000000757.
    1. Centers for Disease Control and Prevention. Sleep and sleep disorders: Data and Statistics cdc.gov2017 [].
    1. Patterson F, Malone SK, Grandner MA, Lozano A, Perkett M, Hanlon A. Interactive effects of sleep duration and morning/evening preference on cardiovascular risk factors. Eur J Public Health. 2018;28(1):155–161. doi: 10.1093/eurpub/ckx029.
    1. Kim CR, Song YM, Shin JY, Gim W. Association between sleep duration and impaired fasting glucose in korean adults: results from the Korean National Health and Nutrition Examination Survey 2011–2012. Korean J Fam Med. 2016;37(1):51–56. doi: 10.4082/kjfm.2016.37.1.51.
    1. Reis C, Dias S, Rodrigues AM, Sousa RD, Gregorio MJ, Branco J, et al. Sleep duration, lifestyles and chronic diseases: a cross-sectional population-based study. Sleep Sci. 2018;11(4):217–230. doi: 10.5935/1984-0063.20180036.
    1. Kim CW, Chang Y, Zhao D, Cainzos-Achirica M, Ryu S, Jung HS, et al. Sleep Duration, Sleep quality, and markers of subclinical arterial disease in healthy men and women. Arterioscler Thromb Vasc Biol. 2015;35(10):2238–2245. doi: 10.1161/ATVBAHA.115.306110.
    1. Kobayashi D, Kuriyama N, Osugi Y, Arioka H, Takahashi O. Longitudinal relationships between cardiovascular events, risk factors, and time-dependent sleep duration. Cardiol J. 2018;25(2):229–235.
    1. Cummings SR. Clinical trials without clinical sites. JAMA Intern Med. 2021;181:680–684. doi: 10.1001/jamainternmed.2020.9223.
    1. de Zambotti M, Cellini N, Goldstone A, Colrain IM, Baker FC. Wearable sleep technology in clinical and research settings. Med Sci Sports Exerc. 2019;51(7):1538–1557. doi: 10.1249/MSS.0000000000001947.
    1. Meng Y, Speier W, Shufelt C, Joung S, Van Eyk JE, Bairey Merz CN, et al. A machine learning approach to classifying self-reported health status in a cohort of patients with heart disease using activity tracker data. IEEE J Biomed Health Inform. 2020;24(3):878–884. doi: 10.1109/JBHI.2019.2922178.

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