“Attention in the water: This is the Orange County Sheriff’s Department.… You are paddleboarding next to approximately 15 great white sharks.”
Source: ‘Attention in the water: … You are paddleboarding next to … 15 great white sharks’ – LA Times
“Attention in the water: This is the Orange County Sheriff’s Department.… You are paddleboarding next to approximately 15 great white sharks.”
Source: ‘Attention in the water: … You are paddleboarding next to … 15 great white sharks’ – LA Times
Source: Atrial Fibrillation | Circulation Research
The past 3 decades have been characterized by an exponential growth in knowledge and advances in the clinical treatment of atrial fibrillation (AF). It is now known that AF genesis requires a vulnerable atrial substrate and that the formation and composition of this substrate may vary depending on comorbid conditions, genetics, sex, and other factors. Population-based studies have identified numerous factors that modify the atrial substrate and increase AF susceptibility. To date, genetic studies have reported 17 independent signals for AF at 14 genomic regions. Studies have established that advanced age, male sex, and European ancestry are prominent AF risk factors. Other modifiable risk factors include sedentary lifestyle, smoking, obesity, diabetes mellitus, obstructive sleep apnea, and elevated blood pressure predispose to AF, and each factor has been shown to induce structural and electric remodeling of the atria. Both heart failure and myocardial infarction increase risk of AF and vice versa creating a feed-forward loop that increases mortality. Other cardiovascular outcomes attributed to AF, including stroke and thromboembolism, are well established, and epidemiology studies have championed therapeutics that mitigate these adverse outcomes. However, the role of anticoagulation for preventing dementia attributed to AF is less established. Our review is a comprehensive examination of the epidemiological data associating unmodifiable and modifiable risk factors for AF and of the pathophysiological evidence supporting the mechanistic link between each risk factor and AF genesis. Our review also critically examines the epidemiological data on clinical outcomes attributed to AF and summarizes current evidence linking each outcome with AF.
Children with obesity face four times the risk of developing type 2 diabetes compared to children with a body mass index (BMI) in the normal range, according to a study published in the Journal of the Endocrine Society.
I’m screwed again.
For optimal health, the waist should measure less than 40 inches for men and 35 inches for women.
Source: Ten Drugs Make New FDA Watch List
Side effects under investigation.
Of retiring employees, 12 percent increased their risky drinking at the time of retirement. However, for most people, there was no change in risky level alcohol consumption around the time of retirement: 81 percent sustained healthy drinking during the follow-up, and in 7 percent of the participants risky drinking was constant, although they experienced a slow decline in risky level alcohol consumption after retirement. In the study, the levels for risky drinking were 24 units per week for men and 16 units for women, or passing out due to extreme alcohol consumption.
Source: Risky alcohol consumption can increase at time of retirement — ScienceDaily
I cannot recall passing out from alcohol so I guess I’m OK.
Americans of South Asian descent are twice as likely as whites to have risks for heart disease, stroke and diabetes, when their weight is in the normal range, according to a study headed by Emory University and UC San Francisco.
Similarly, Americans of Hispanic descent were 80 percent more likely than whites to suffer from so-called cardio-metabolic abnormalities that give rise to heart disease, stroke and diabetes, compared with 50 percent more likely for those who were Chinese and African-American.
These risks include high blood pressure (hypertension), elevated glucose, low HDL, the “good cholesterol,” and high triglycerides, a fat found in blood. In the study, participants who were aged between 45 and 84, were classified as having cardio-metabolic abnormalities if they had two or more of these four risk factors.
Source: Spousal Suicide Ups Morbidity, Mortality in Surviving Partner and
Original JAMA Psych article is the second link.
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