{"id":8616,"date":"2023-07-21T10:27:06","date_gmt":"2023-07-21T10:27:06","guid":{"rendered":"https:\/\/komorebi.ai\/?page_id=8616"},"modified":"2024-01-29T08:33:00","modified_gmt":"2024-01-29T08:33:00","slug":"poor-self%e2%80%90reported-sleep","status":"publish","type":"page","link":"https:\/\/komorebi.ai\/es\/poor-self%e2%80%90reported-sleep\/","title":{"rendered":"Poor self\u2010reported sleep is associated with risk factors for cardiovascular disease: A cross\u2010sectional analysis in half a million adults"},"content":{"rendered":"\t\t
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Poor self\u2010reported sleep is associated with risk factors for cardiovascular disease: A cross\u2010sectional analysis in half a million adults<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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European Journal of Clinical Investigation, 2021<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The study investigates the <\/span>association between <\/b>self-reported <\/span>sleep <\/b>characteristics<\/span> and <\/b>the <\/span>risk of cardiovascular disease<\/b> (CVD) in over half a million Spanish workers.\u00a0<\/span><\/p>

The research highlights ‘poor sleep,’ defined by excessively short or long sleep duration, unrestful sleep, or problems falling asleep, as a significant concern among the participants, with 33% reporting such conditions.\u00a0<\/span><\/p>

Findings reveal that poor sleep is linked with a higher likelihood of all individual CVD risk factors, especially physical inactivity, which showed approximately a three-fold increase in prevalence among poor sleepers. All distinct sleep characteristics were found to be associated with the presence of two or more CVD risk factors. Participants reporting optimal sleep conditions had a lower total CVD risk score compared to those with poor sleep.\u00a0<\/span><\/p>

The research concludes that poor sleep is a significant risk factor for CVD, underscoring the importance of monitoring and improving sleep patterns for primary CVD prevention.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The study indicates a link between poor sleep and increased cardiovascular disease risk, emphasizing the need for sleep improvements in health strategies and policies.<\/p><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Where does it apply?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The findings linking poor sleep and cardiovascular disease risk can impact <\/span>healthcare <\/b>practices, public health policies, health-related research, workplace wellness programs, and preventive medicine strategies.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Why does it matters?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The findings of this study matter as they highlight the critical link between poor sleep characteristics and an increased likelihood of major cardiovascular disease (CVD) risk factors.\u00a0<\/span><\/p>

Sleep is a modifiable behavior, meaning that interventions can feasibly target improvement in sleep patterns. Recognizing poor sleep as a significant risk factor for CVD can pave the way for incorporating sleep assessments and improvement strategies into primary prevention plans for cardiovascular diseases.\u00a0<\/span><\/p>

Understanding this association could also lead to earlier identification and management of CVD risk in individuals with poor sleep.<\/span><\/p>

Overall, these <\/span>insights <\/b>could contribute to reducing the prevalence and impact <\/span>of cardiovascular diseases<\/b>, a leading cause of death worldwide.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Poor self\u2010reported sleep is associated with risk factors for cardiovascular disease: A cross\u2010sectional analysis in half a million adults<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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European Journal of Clinical Investigation, 2021<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tAlberto Torres<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tCTO<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tData Analytics, Public health<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Otras publicaciones<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Adversarial Machine Learning: Enfoque Bayesiano\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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IA en el desarrollo de medicamentos: una perspectiva multidisciplinaria\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\u00bfC\u00f3mo se asocian los bancos de atunes con los dFADs?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Aplicamos un enfoque bayesiano para mejorar la defensa contra amenazas de seguridad en sistemas basados en Aprendizaje Autom\u00e1tico: preveniendo ataques en ciberseguridad, sistemas de aprendizaje no supervisado y procesamiento de lenguaje natural.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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La revisi\u00f3n explora el uso de la IA, en particular enfoques bayesianos, para acelerar y reducir el costo del desarrollo de medicamentos en todas las etapas.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Aprendizaje Autom\u00e1tico para analizar el comportamiento de los atunes alrededor de los Dispositivos de Agregaci\u00f3n de Peces (dFADs), proporcionando informaci\u00f3n para mejorar la pesca sostenible, la investigaci\u00f3n en biolog\u00eda marina y las pol\u00edticas de conservaci\u00f3n.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tGame Theory, Cybersecurity<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tDrug Development, Decision Support<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Saber m\u00e1s>><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Saber m\u00e1s >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Saber m\u00e1s >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Poor self\u2010reported sleep is associated with risk factors for cardiovascular disease: A cross\u2010sectional analysis in half a million adults European Journal of Clinical Investigation, 2021 Abstract The study investigates the association between self-reported sleep characteristics and the risk of cardiovascular disease (CVD) in over half a million Spanish workers.\u00a0 The research highlights ‘poor sleep,’ defined […]<\/p>\n","protected":false},"author":1,"featured_media":8766,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"\nPoor self\u2010reported sleep is associated with risk factors for cardiovascular disease: A cross\u2010sectional analysis in half a million adults - Komorebi AI<\/title>\n<meta name=\"description\" content=\"Study links poor sleep to higher cardiovascular risk, stressing need for sleep improvements in health strategies and policies.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/komorebi.ai\/es\/poor-self\u2010reported-sleep\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Poor self\u2010reported sleep is associated with risk factors for cardiovascular disease: A cross\u2010sectional analysis in half a million adults - 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