A study of 7,155 children in the United Kingdom found that waking up frequently during the night and irregular sleep routines as babies and toddlers was linked to psychotic experiences in children ages 12 and 13.
The research, which published Wednesday in the journal JAMA Psychiatry, was the first time possible links between early childhood sleep problems and adolescent psychotic experiences and borderline personality disorder (BPD) symptoms have been examined.
Prior research in Australia found that babies with persistent severe sleep problems in their first year were at greater risk for anxiety and emotional issues in later childhood.
Sleep problems in children and adolescents have been shown to predict the development of various emotional and behavioral problems, including depression, anxiety, attention-deficit hyperactivity disorder, risk-taking and aggression.
A shorter nighttime sleep duration and later bedtime at 3.5 years of age were associated with borderline personality disorder symptoms, the study found.
In an interview on ABC's "This Week," Pelosi, who could be seen with a mask on her neck, urged President Donald Trump to wear a mask.
The CDC recommends that everyone "should wear a cloth face cover when they have to go out in public" to reduce transmission and slow the spread of the coronavirus, which is highly contagious.
Despite the advice from public health experts, Trump continues to defy health recommendations and has been reluctant to be seen wearing a mask in public.
Vice President Mike Pence said that people should listen to state and local officials on wearing masks in public.
Presumptive Democratic nominee Joe Biden said last week that he would make wearing face masks mandatory for Americans during the pandemic, furthering himself on the issue from Trump who has stressed that masks are voluntary and has flouted public health recommendations.
In this tutorial, we’re going to be using 2010 Census data to show off the wonders of graphing with R’s ggplot2 library.
Florida & median age graph well because the high numbers of old and young combined make for a super pretty gradient (thank you, snow birds!).
We’re going to do this one more time, changing the state and the Census data we choose to use — I like providing two examples so someone can see how the code changes in response.
On a side note, you’ll notice that the range of the gradients changed drastically in the second example— because we’re plugging this in by hand, it’s important to play around with it until you’ve accurately depicted the full range and set an accurate median value (a little Googling can go a long way to avoid too much guesswork).