Temperature and Mortality

NCT ID: NCT03259100

Last Updated: 2017-08-24

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 17000000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2011-01-01
• Study Completion Date: 2013-02-01

Brief Summary

The investigators evaluated the spatial association between, cardiovascular diseases (CVD) and stroke mortality rate with average ambient temperature (Ta) , and then used this relationship to model future temporal trends in mortality from CVD and stroke till the end of century (2099) using different warming scenarios across the mainland USA.

Detailed Description

the investigators used data on mortality rate (per 100,000 individuals) for CVD and stroke (between 2011 and 2013, age>35years) from the publicly available Centers for disease prevention and control (CDC) web site (www.cdc.gov). CVD mortality was defined as the number of deaths per 100,000 personyears due to circulatory causes (International Statistical Classification of Diseases, Tenth Revision, codes I00-I99).Oak Ridge National laboratory was the source of the ambient temperature data (http://www.daac.ornl.gov: files B01, B02 and C07).The investigators obtained data on prevalence of HTN (HTN was defined as systolic blood pressure (BP) of at least 140 mm Hg, self-reported use of antihypertensive treatment, or both) from county health rankings and roadmaps organisation (www.countyhealthrankings.org), which were estimated based on National Health and Nutrition Examination Survey in five two-year waves from 1999-2008 including 26,349 adults aged 30 years and older and from the Behavioral Risk Factor Surveillance System (BRFSS) from 1997-2009 including 1,283,722 adults aged 30 years and older.

Conditions

Cardiovascular Diseases

Study Design

• Observational Model Type: ECOLOGIC_OR_COMMUNITY
• Study Time Perspective: RETROSPECTIVE

Interventions

all the data collection have done by CDC.

In this study there was no intervention, just simple data collection via CDC.

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

1. age>35 years

Exclusion Criteria

None

• Minimum Eligible Age: 35 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Chinese Academy of Sciences

OTHER_GOV

Sponsor Role: lead

Responsible Party

John Speakman

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

References

Mazidi M, Speakman JR. Ambient particulate air pollution (PM2.5) is associated with the ratio of type 2 diabetes to obesity. Sci Rep. 2017 Aug 22;7(1):9144. doi: 10.1038/s41598-017-08287-1.

Reference Type: BACKGROUND

PMID: 28831041 (View on PubMed)

Mazidi M, Speakman JR. Higher densities of fast-food and full-service restaurants are not associated with obesity prevalence. Am J Clin Nutr. 2017 Aug;106(2):603-613. doi: 10.3945/ajcn.116.151407. Epub 2017 May 31.

Reference Type: RESULT

PMID: 28566310 (View on PubMed)

Speakman JR, Heidari-Bakavoli S. Type 2 diabetes, but not obesity, prevalence is positively associated with ambient temperature. Sci Rep. 2016 Aug 1;6:30409. doi: 10.1038/srep30409.

Reference Type: RESULT

PMID: 27477955 (View on PubMed)

Related Links

http://www.cdc.gov

CDC website

Other Identifiers

CDC and IPCC

Identifier Type: -

Identifier Source: org_study_id