Nathan Yau of Flowing Data has been doing some interesting (and beautiful) visualizations of when and how people die. First was Years You Have Left to Live, Probably. Next was Causes of Death. And today he posted How You Will Die.
Archive for the 'Population Health & Health Disparities' Category
Philip Cohen, writing for the Family Inequality blog, has some concerns about the Case and Deaton paper showing that the mortality rate for middle-aged white men is rising: “My concern is that changes in the age and sex composition of the population studied could account for a non-trivial amount of the trends they report.”
Josh Barro of The Upshot examines the rising life expectancy in the United States:
According to the Centers for Disease Control and Prevention, life expectancy at birth in the United States was 78.8 years in 2013 — 76.4 years for men, 81.2 years for women. But I have good news. Those statistics don’t mean what you probably think they mean.
In fact, an American child born in 2013 will most likely live six or more years longer than those averages: boys into their early 80s, girls into their late 80s.
The Census Bureau has release a new selection of data products on income, poverty, and health insurance coverage. These reflect the redesigned income questions included in a portion of the 2014 survey sample for the 2013 estimates. The new products include:
- A full set of 2013 income and poverty tables using only the redesigned income questions: Income and Poverty in the United States: 2013 – Detailed Tables and 2013 Poverty Table of Contents
- A selection of 2013 health insurance coverage tables using the full 2014 CPS ASEC sample
- A 2014 Current Population Survey Annual Social and Economic Supplement (CPS ASEC) public use file for the sample that received the redesigned income questions.
H/T: Data Detectives
Here is a round-up of some of the reporting on New Orleans 10 years after Katrina:
- Katrina Washed Away New Orlean’s Black Middle Class
- We Still Don’t Know How Many People Died Because of Katrina
- Why The Plan To Shrink New Orleans Failed
Mona Chalabi of FiveThirtyEight examines the way the term “natural causes” is used by the CDC as a euphemism for a variety of causes of death.
According to the latest CDC data, 2,596,993 people died in the U.S. in 2013. The vast majority of those deaths, 92.5 percent, were of natural causes. Thankfully, the data is more detailed than that, though — there are 46 categories of natural causes of death listed, as well as 44 subcategories. In the chart below, I’ve summarized the 10 natural causes responsible for the most deaths in 2013.
Andrew Flowers of FiveThirtyEight examines recent studies on teen smoking and reports that the link between the cost of cigarettes and the teen smoking rate has weakened in recent years. Flowers discusses theories about why this happened and what it could mean for policy.
The Apple Research Kit allows researchers to develop an iPhone app, which interested respondents can download from the Apple Store. The respondent goes through an on-line consent form and then responds to questions, tasks (walking), etc. Some of the diagnostic tools are based on previously developed apps from the Apple Healthkit.
As of now, apps have been developed for collecting data for research projects on asthma, cardiovascular disease, diabetes, Parkinson’s, mind, body, and wellness after breast cancer, and for a population-based study, the LGBTQ population.
Here is a description of the informed consent process for these iPhone apps:
Participant-Centered Consent Toolkit
Listed below are a few press releases associated with the Pride Study – the population based study of the gay population. Following those posts are some more general critiques of this way of gathering data. The post from the Verge is probably the most critical raising issues of “on the internet no one knows you are a dog” and gaming the consent process (lying about eligibility for the study). On the plus side, the participant pool is going to be easier to sign up and won’t be limited to those who live close to research hospitals. Here is an excerpt from Business Insider to the reaction to the app launch for the Stanford Heart study:
It’s really incredible … in the first 24 hours of research kit we’ve had 11,000 people sign up for a study in cardiovascular disease through Stanford University’s app. And, to put that in perspective – Stanford has told us that it would have taken normally 50 medical centers an entire year to sign up that many participants. So, this is – research kit is an absolute game changer.
The participant pool is limited to iPhone users (no android version of these apps), although some will have a web interface (the Pride Study).
Launch of the Pride Study
UCSF Researchers Launch Landmark Study of LGBTQ Community Health
Jyoti Madhusoodanan | UCSF Press Release
June 25, 2015
A big LGBT health study is coming to the iPhone
Stephanie M. Lee | BuzzFeed
June 25, 2015
How The iPhone Is Powering A Massive LGBT Health Study
Kif Leswing | International Business Times
June 25, 2015
Critiques of the Apple ResearchKit
Apple’s new ResearchKit: ‘Ethics quagmire’ or medical research aid?
Arielle Duhaime-Ross | The Verge
March 10, 2015
When: Thursday, June 11, 2015, 1:00-2:30 pm (EDT)
From the e-mail invitation:
Studies show that a growing number of U.S. families have incomes so low that the difficulties of their living situations may be masked by thinking of the poor as a homogeneous group. For instance, since the mid-1990s the number of families living on less than $2.00 in cash per person per day has more than doubled. Over the same interval, a smaller share of government social welfare spending has gone to the deeply poor.
This webinar will address issues such as how these families subsist, what public assistance they receive, and what their health challenges are. It will feature presentations from key Johns Hopkins researchers on this topic: sociologist Kathryn Edin, economist Robert Moffitt, and epidemiologist Jacky Jennings. It will be moderated by sociologist Andrew Cherlin.
Their presentations will be followed by 10-15 minutes of Q&A.
This webinar is co-hosted by the Hopkins Population Center and PRB’s Center for Public Information on Population Research, with funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development.
Joining the online webinar is free. Participants who choose to listen to the audio via telephone are responsible for their own standard long-distance rates.
Emily Oster of FiveThirtyEight examines various claims about the benefits of breastfeeding:
If one takes the claims seriously, it is not difficult to conclude that breastfed babies are all thin, rich geniuses who love their mothers and are never sick a day in their lives while formula-fed babies become overweight, low-IQ adults who hate their parents and spend most of their lives in the hospital.