Poor self-reported sleep is associated with risk factors for cardiovascular disease: A cross-sectional analysis in half a million adults

dc.contributor.authorValenzuela Ruiz, Pedro Luis
dc.contributor.authorSantos Lozano, Alejandro
dc.contributor.authorTorres Barrán, Alberto
dc.contributor.authorMorales Rojas, Javier Salvador
dc.contributor.authorCastillo García, Adrián
dc.contributor.authorRuilope Urioste, Luis Miguel
dc.contributor.authorRíos Insua, David
dc.contributor.authorOrdovás Muñoz, José María
dc.contributor.authorLucía Mulas, Alejandro
dc.date.accessioned2022-03-02T10:55:04Z
dc.date.available2022-03-02T10:55:04Z
dc.date.issued2022
dc.description.abstractBackground Sleep is known to affect cardiovascular health, but some controversy exists on the independent association between different sleep characteristics (duration, restfulness, difficulties falling asleep) and specific risk factors for cardiovascular disease (CVD). We aimed to assess the association between self-reported sleep characteristics and the likelihood of major CVD risk factors. Methods Totally, 521,364 Spanish workers (32% female, 44 ± 9 years [18–64]) insured by an occupational risk prevention company participated in this nationwide cross-sectional study. Participants’ sleep was considered ‘poor’ if they reported having ≥1 of the following conditions: excessively short (<6 h/d) or long (>9 h/d) sleep, unrestful sleep, or difficulties to fall asleep. We assessed the independent association between aforementioned sleep characteristics and the prevalence of hypertension, diabetes, hypercholesterolaemia, obesity and physical inactivity. Results Poor sleep (reported by 33% of participants) was associated with a higher likelihood of presenting all CVD risk factors individually, particularly physical inactivity (which prevalence was ~3-fold higher in the poor sleep group compared with participants reporting no sleep abnormality). In separate analyses, all the different sleep characteristics were associated with the likelihood of ≥2 CVD risk factors. Participants with optimal sleep, normal sleep duration, no difficulties falling sleep and restful sleep showed a lower total CVD risk score than their peers with poor sleep, short sleep duration, difficulties falling sleep and unrestful sleep, respectively (all p < .001). Conclusions Poor sleep was associated with a higher likelihood of presenting major CVD risk factors. These findings might support the importance of monitoring and improving sleep patterns for primary CVD prevention.spa
dc.description.filiationUEMspa
dc.description.impact5.5 Q1 JCR 2022spa
dc.description.impact1.3 Q1 SJR 2022spa
dc.description.impactNo data IDR 2022spa
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness; Fondos FEDER (PI18/00139)spa
dc.identifier.citationValenzuela, P. L., Santos‐Lozano, A., Torres‐Barrán, A., Morales, J. S., Castillo‐García, A., Ruilope, L. M., Ríos‐Insua, D., Ordovás, J. M., & Lucía, A. (2022). Poor self‐reported sleep is associated with risk factors for cardiovascular disease: A cross‐sectional analysis in half a million adults. European Journal of Clinical Investigation. 52(5), e13738. https://doi.org/10.1111/eci.13738spa
dc.identifier.doi10.1111/eci.13738
dc.identifier.issn0014-2972
dc.identifier.issn1365-2362
dc.identifier.urihttp://hdl.handle.net/11268/10851
dc.language.isoengspa
dc.peerreviewedSispa
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.accessRightsopen accessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subject.otherHigiene del sueñospa
dc.subject.otherConducta sedentariaspa
dc.subject.otherFactores de riesgo de enfermedad cardiacaspa
dc.subject.unescoEnfermedad cardiovascularspa
dc.subject.unescoMedicina preventivaspa
dc.titlePoor self-reported sleep is associated with risk factors for cardiovascular disease: A cross-sectional analysis in half a million adultsspa
dc.typejournal articlespa
dspace.entity.typePublication
relation.isAuthorOfPublicationb3782a9a-d773-401b-99b3-38488ac0cf1a
relation.isAuthorOfPublicationd3691359-d7bd-4a12-b84e-338e28c81f9f
relation.isAuthorOfPublication.latestForDiscoveryb3782a9a-d773-401b-99b3-38488ac0cf1a

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