Vital Statistics in the United States: Preparing for the Next Century

1995 ◽  
Vol 61 (4) ◽  
pp. 527 ◽  
Author(s):  
James A. Weed
Keyword(s):  
United States ◽  
The United States ◽  
Vital Statistics

PUBLIC HEALTH

PEDIATRICS ◽  
1960 ◽  
Vol 25 (2) ◽  
pp. 343-347
Author(s):  
George M. Wheatley ◽  
Stephen A. Richardson
Keyword(s):  
Public Health ◽  
United States ◽  
Cause Of Death ◽  
United States Public Health ◽  
The United States ◽  
Vital Statistics ◽  
West Germany ◽  
Medical Attention ◽  
Age Group ◽  
Number Of Children

IN ALL COUNTRIES for which there are vital statistics, accidents are a major cause of death and disability among children. In countries where the food supply is adequate and infectious diseases have been brought under control, accidents have become the leading cause of death in the age group 1 to 19 years. For example, in such countries as Australia, Canada, Sweden, West Germany, and the United States, more than one-third of all deaths in this age group are caused by accidents. The number of children who are injured by accidents fan exceeds the number who are killed. Although no accurate international figures are available, the Morbidity Survey conducted by the United States Public Health Service indicates that in the United States, for every child under 15 killed by accident, 1,100 children are injured severely enough to require medical attention or to be restricted in their activity for at least a day.

Annual Summary of Vital Statistics—1976

PEDIATRICS ◽  
1977 ◽  
Vol 60 (6) ◽  
pp. 797-804
Author(s):  
Myron E. Wegman
Keyword(s):  
United States ◽  
United Nations ◽  
The United States ◽  
Vital Statistics ◽  
World Health ◽  
Health Statistics ◽  
The World ◽  
States Data ◽  
International Data ◽  
Health Organization

Data for this article, as in previous reports,1 are drawn principally from the Monthly Vital Statistics Report,2-5 published by the National Center for Health Statistics. The international data come from the Demographic Yearbook6 and the quarterly Population and Vital Statistics Report,7 both published by the Statistical Office of the United Nations, and the World Health Statistics Report,8 published by the World Health Organization. All the United States data for 1976 are estimates by place of occurrence based upon a 10% sample of material received in state offices between two dates, one month apart, regardless of when the event occurred. Experience has shown that for the country as a whole the estimate is very close to the subsequent final figures.

Letters to the Editor

PEDIATRICS ◽  
1971 ◽  
Vol 47 (3) ◽  
pp. 630-630
Author(s):  
Alfred Yankauer
Keyword(s):  
United States ◽  
The Netherlands ◽  
Sampling Bias ◽  
The United States ◽  
Vital Statistics ◽  
Letters To The Editor ◽  
Medical Centers ◽  
Reporting Requirements ◽  
The Difference

The generalizations which Dr. Nichols has made (or inferred) by applying his (incorrect and incomplete) definitions to data from Galveston and Philadelphia are affected by an enormous sampling bias. How many other places in the United States which are not medical centers report the outcomes of pregnancy in the same way? Perhaps there is even more "under-reporting" (as Dr. Nichols defines it) in the U.S.A. as a whole than in the Netherlands as a whole in spite of certain differences in "official" reporting requirements (even though the difference Dr. Nichols specifies no longer holds)? Furthermore, the Galveston-Philadelphia data Dr. Nichols quotes are not those reported to the Vital Statistics Divisions of the cities of Philadelphia and Galveston.

Abstract 10: Widening Rural Disadvantage in United States Premature Heart Disease Mortality: Trends by Region and Race/Ethnicity, 2000 - 2013

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Elizabeth B Pathak ◽  
Colin J Forsyth
Keyword(s):  
United States ◽  
Heart Disease ◽  
American Indians ◽  
Rural Areas ◽  
The United States ◽  
Vital Statistics ◽  
The South ◽  
Mortality Trends ◽  
Annual Percent Change ◽  
Death Rates

Objectives: The purpose of this study was to quantify rural and metropolitan trends in premature heart disease (HD) mortality using the most up-to-date data available (through 2013). To our knowledge this is the first study to analyze these geographic disparities for Hispanics (HSP), Asians/Pacific Islanders (API), and American Indians/Alaska Natives (AI/AN). Methods: Annual age-adjusted HD death rates for adults aged 25-64 years were analyzed for 2000-2013. Rates were calculated for 5 racial/ethnic groups (Non-Hispanic Whites (WNH), Non-Hispanic Blacks (BNH), HSP of any race, Non-Hispanic API, and Non-Hispanic AI/AN). County-level data were aggregated by urbanicity: large central metro (LCM), large fringe metro (LFM), medium/small metro (MSM), and micropolitan/rural (RURAL). Region was defined as South (16 states) and Non-South. All data were obtained from the National Vital Statistics System on CDC WONDER. Average annual percent change (AAPC) was calculated by linear regression of the log-transformed death rates using SAS 9.4. Results: In 2013, the national population-at-risk predominantly resided in metro areas. However, there were more than 10 million RURAL adults aged 25-64 years in the South (16.2% of the region) and more than 13.4 million in the non-South (12.9% of the region). Nationwide, HD death rates were lowest in the LFM counties. In the South, the rate ratio (RR) for RURAL vs. LFM areas in 2011-2013 was 1.76 (95% CI 1.73 to 1.79) for WNH, 2.00 (95% CI 1.85 to 2.16) for HSP, 1.78 (95%CI 1.71 to 1.82) for BNH, 1.57 (95% CI 1.22 to 2.03) for API, and 3.13 (95% CI 2.47 to 3.96) for NNH. In the non-South, RURAL vs. LFM RRs were smaller, with the exception of API (RR 2.37, 95% CI 2.07 to 2.71). Temporal trend analyses revealed significantly smaller AAPC in RURAL areas (see Table). Conclusions: Higher death rates coupled with slower declines have resulted in a widening rural disadvantage in premature HD mortality in the United States from 2000 to 2013, particularly for WNH, HSP, BNH, and AI/AN in the South, and WNH in the non-South.

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