2019
DOI: 10.1016/j.ijcha.2019.100442
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Gender differences and daily variation in atrial fibrillation risk factor profiles: Considerations for risk factor management

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Cited by 4 publications
(5 citation statements)
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“…Even a quick review of these risk behaviors would indicate that many of these changes are indicated as part of a healthy lifestyle for all patients. The progression of AF can be associated with the presence and combination of behavioral risk factors, and young-onset individuals may even have risk factors that are maintaining their condition ( 71 ). However, the challenges for AF patients are multiplicative because existing research in both China and in Europe suggest that as few as 4% of AF patients are engaged in a fully “healthy lifestyle” ( 72 ).…”
Section: Fear Of Recurrence: Psychological and Behavioral Aspectsmentioning
confidence: 99%
“…Even a quick review of these risk behaviors would indicate that many of these changes are indicated as part of a healthy lifestyle for all patients. The progression of AF can be associated with the presence and combination of behavioral risk factors, and young-onset individuals may even have risk factors that are maintaining their condition ( 71 ). However, the challenges for AF patients are multiplicative because existing research in both China and in Europe suggest that as few as 4% of AF patients are engaged in a fully “healthy lifestyle” ( 72 ).…”
Section: Fear Of Recurrence: Psychological and Behavioral Aspectsmentioning
confidence: 99%
“…However, several AF risk factors may show a high visit-to-visit or even day-to-day variability and lifestyle components such as physical activity, diet and sleep behaviors may be variable over time. [11][12][13][14][15][16][17] This visit-to-visit or day-to-day variability does not just complicate the detection of AF risk factors but may also have a prognostic implication. High visit-to-visit variability in risk factors is associated with increased risk of incident new-onset AF, worse cardiovascular outcome and increased mortality.…”
Section: Remote Assessment and Management Of Af Risk Factorsmentioning
confidence: 99%
“…In 442 consecutive ambulatory patients with AF who were considered candidates for rhythm control as well as in prospectively studied 579 patients with paroxysmal AF, the Epworth sleepiness scale poorly predicted SDB, regardless of the degree of SDB tested. SDB is common but most AF patients report low daytime sleepiness levels [4] , [29] , [30] , [31] . The lack of excessive daytime sleepiness should not preclude patients from being investigated for the potential presence of concomitant SDB.…”
Section: How To Screen For Sdb In Af Patientsmentioning
confidence: 99%