Showing posts with label Expectancy. Show all posts
Showing posts with label Expectancy. Show all posts
Every single hour of television watched after the age of 25 reduces the
viewer’s life expectancy by 22 minutes

Every single hour of television watched after the age of 25 reduces the viewer’s life expectancy by 22 minutes

By comparison, smoking a single cigarette reduces life expectancy by about 11 minutes.

An adult who spends an average of six hours a day watching TV over the course of a lifetime can expect to live 4.8 years fewer than a person who does not watch TV.

References:

Get Up. Get Out. Don't Sit. - NYTimes, 2012 http://nyti.ms/10oXBQd

Comments from Twitter and Google Plus:

Humera Naqvi, MD @nayab78: hmmm that means we ppl should be dying early taking the amount of tv watched but life expectancy has increased.

K Dillon, RDMS,CPC-A @comalliwrites: Confounders & confirmation bias not accounted for...

@ShadolooDoll: Misleading. It isn't TV itself, but the lack of activity. A person who is dedicated to exercise can still watch TV, right?

Timothy Cook: Great, since I stopped watching TV.  I can start smoking again!  ;-)

Davíð Þórisson: Phew - no mention of watching Youtube! :-)

Jimena Yosara Aguilar Jimenez: I'll never watch tv again

Dimiter Stanev: Does that mean that disabled people suffer from this too?

Image source: Wikipedia, Creative Commons Attribution ShareAlike 2.5 License.

Being obese at age 40 reduces life expectancy by 7 years for women and 6 years for men

In Scotland 68.5% of men, 61.8% of women, 36.1% of boys, and 26.9% of girls are classified as overweight or obese.

Being obese at age 40 reduces life expectancy by 7.1 years for women and 5.8 years for men.

The article summarises the most recent recommendations from the Scottish Intercollegiate Guidelines Network (SIGN) on the management of obesity.

References:
Management of obesity: summary of SIGN guideline. Logue et al. 340: c154. BMJ, 2010.

Comments from Google Buzz:

Luke Rosenberger - thanks! looks like original source of the life expectancy data (according to footnote) is actually a 2003 article from annals of internal medicine - http://www.ncbi.nlm.nih.gov/pubmed/12513041

Ves Dimov, M.D. - Looks correct. That's why I always say that we need a medical librarian on board... :)

For Google Buzz and Twitter, I typically link to the source where the text appeared when I first saw it. It's very nice to trace it back to the original source however. Thank you so much.

Luke Rosenberger - makes sense to me. you know us librarians, always reading the footnotes first ;-)

Image source: Wikipedia, public domain.
Sexual life expectancy is longer for men than women

Sexual life expectancy is longer for men than women

A BMJ study of middle aged and older adults showed that men were more likely than women to be sexually active, report a good quality sex life, and be interested in sex.

These gender differences increased with age and were greatest among the 75 to 85 year old group: 38.9% of men compared with 16.8% of women were sexually active, 70.8% versus 50.9% of those who were sexually active had a good quality sex life, and 41.2% versus 11.4% were interested in sex.

People in very good or excellent health were 1.5 to 1.8 times more likely to report an interest in sex than those in poorer health. At age 30, sexually active life expectancy was 34.7 years for men and 30.7 years for women compared with 14.9 to 15.3 years for men and 10.6 years for women at age 55.

At age 55, men in very good or excellent health on average gained 5-7 years of sexually active life compared with their peers in poor or fair health. Women in very good or excellent health gained 3-6 years compared with women in poor or fair health.

References:
Image source: OpenClipart.org, public domain.

Promise of Prevention: Effects of 4 Risk Factors on U.S. Life Expectancy and Disparities

This analysis included 4 preventable risk factors:

- smoking
- high blood pressure
- elevated blood glucose
- adiposity

The researchers estimated the effects of these 4 preventable risk factors on national life expectancy and on disparities in life expectancy and disease-specific mortality among 8 subgroups of the US population (the “Eight Americas”). The groups were defined on the basis of race, location and socioeconomic characteristics of county of residence, in 2005.

Who has the lowest number of risk factors?

Asians had the lowest mean body mass index, fasting plasma glucose, and smoking; whites had the lowest systolic blood pressure (SBP).

Who has the highest number of risk factors?

Systolic blood pressure (SBP) was highest in blacks, especially in the rural South - 5-7 mmHg higher than whites. The other three risk factors were highest in Western Native Americans, Southern low-income rural blacks, and/or low-income whites in Appalachia and the Mississippi Valley.

How much shorter is life expectancy if you have the risk factors?

These 4 risk factors reduced life expectancy at birth by 5 years in men and 4 years in women.

Life expectancy effects were smallest in Asians (M, 4.1 y; F, 3.6 y) and largest in Southern rural blacks (M, 6.7 y; F, 5.7 y).

Smoking and high blood pressure had the largest effect on life expectancy disparities.

Disparities in the 4 risk factors (smoking, blood pressure, blood glucose, and adiposity) explain a significant proportion of disparities in mortality from cardiovascular diseases and cancers. They also explain some of the life expectancy disparities in the US.

References:
Danaei G, Rimm EB, Oza S, Kulkarni SC, Murray CJL, et al. (2010). The Promise of Prevention: The Effects of Four Preventable Risk Factors on National Life Expectancy and Life Expectancy Disparities by Race and County in the United States. PLoS Med 7(3): e1000248. doi:10.1371/journal.pmed.1000248
Image source: Wikipedia, public domain.