Geographic Disparities in Life Expectancy

Geographic Disparities in Life Expectancy

Briefs Research & Practice Summer Hunt, ELS, is editorial coordinator for publications at AWHONN in Washington, DC. Recommendation for Preeclampsia ...

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Briefs

Research & Practice Summer Hunt, ELS, is editorial coordinator for publications at AWHONN in Washington, DC.

Recommendation for Preeclampsia Screening The U.S. Preventive Services Task Force (USPSTF) recommends using blood pressure measurements to screen women for preeclampsia throughout pregnancy. To update its 1996 recommendation, the USPSTF reviewed the evidence on the accuracy of screening and diagnostic tests for preeclampsia, the potential benefits and harms of screening for preeclampsia, the effectiveness of risk prediction tools, and the benefits and harms of treatment for screen-

ing-detected preeclampsia. Obtaining blood pressure measurements to screen for preeclampsia could allow for early identification and diagnosis of the condition and result in close surveillance and effective treatment to prevent serious complications. The USPSTF found adequate evidence that testing for protein in the urine with a dipstick test has low diagnostic accuracy for detecting proteinuria in pregnancy. Find the report in JAMA here: dx.doi.org/10.1001/jama.2017.3439.

Life expectancy at birth in the United States increased between 1980 and 2014 to 79.1 years for men and women combined but differs by as much as two decades between counties with the lowest and highest life expectancies, according to an article published by JAMA Internal Medicine. Researchers conducted a population-based analysis and created annual estimates of life expectancy and age-specific risk of death for each county from 1980 through 2014. They then quantified geographic inequalities for these measures to examine trends and looked at the extent to which variation in life expectancy can be explained by socioeconomic and race/ethnicity factors, as well as behavioral and metabolic risk factors. Several counties in South and North Dakota (typically those with Native American reservations) had the lowest life expectancies; counties in central Colorado had the highest life expectancies. Limitations of the study include that the data used for life expectancy estimates by county are all subject to error. Find the study here: dx.doi .org/10.1001/jamainternmed.2017.0918.

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Nursing for Women’s Health

Volume 21

Issue 4

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Geographic Disparities in Life Expectancy