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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT00005385
Other study ID # 4290
Secondary ID R01HL052745
Status Completed
Phase N/A
First received May 25, 2000
Last updated February 17, 2016
Start date September 1994
Est. completion date July 1999

Study information

Verified date October 2005
Source National Heart, Lung, and Blood Institute (NHLBI)
Contact n/a
Is FDA regulated No
Health authority United States: Federal Government
Study type Observational

Clinical Trial Summary

To describe and delineate in a prospective study the nature and causes of seasonal variation of blood lipid levels in the general population.


Description:

BACKGROUND:

Significant seasonal variation of blood cholesterol levels has been shown in a number of cross-sectional studies, with important implications for national screening and therapeutic guidelines. However, the phenomenon has not been well studied: little is known about etiology or about seasonal variation of lipid subfractions.

DESIGN NARRATIVE:

The investigators assessed the magnitude and timing of the seasonal effect for total cholesterol and the important lipoprotein subfractions (low-density lipoprotein, high-density lipoprotein, triglycerides, apolipoproteins AI and B, and lipoprotein (a)) in both sexes and at different ages. They also identified and quantified the effects of the main factors determining the variation and assessed the seasonal variation of other blood elements thought to play a role in the development of coronary heart disease, including hemostatic factors and antioxidants Finally, they explored the implications of the phenomenon for public health policy.

Baseline and serial measures were repeated quarterly for one year. These included measures of: serum lipids and lipoproteins; antioxidant vitamins; platelets and hemostatic factors; demographic factors; weight, waist-hip ratio, height, body mass index (BMI) and blood pressure; dietary intake; physical activity; light exposure; and psychologic factors. Meteorologic data were also collected. Data were collected by written questionnaire and by the use of computer-assisted evening telephone interviews (CATI), which were used for the collection of dietary, physical activity and individual light-exposure and other lifestyle data. Activity and light data were verified in a subset of 80 patients by the use of a monitoring device. Analyses included methods to describe the seasonal variation in dietary, physical activity, psychologic, and light exposure data and repeated measures in linear regression models to determine the roles of specific dietary, physical activity, psychologic, and light-exposure related covariates in explaining variability in blood lipids, antioxidant vitamins, and hemostatic factors.

The study completion date listed in this record was obtained from the "End Date" entered in the Protocol Registration and Results System (PRS) record.


Recruitment information / eligibility

Status Completed
Enrollment 0
Est. completion date July 1999
Est. primary completion date
Accepts healthy volunteers No
Gender Male
Age group N/A to 100 Years
Eligibility No eligibility criteria

Study Design

N/A


Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
National Heart, Lung, and Blood Institute (NHLBI)

References & Publications (4)

Hebert JR, Ockene IS, Hurley TG, Luippold R, Well AD, Harmatz MG. Development and testing of a seven-day dietary recall. Dietary Assessment Working Group of the Worcester Area Trial for Counseling in Hyperlipidemia (WATCH). J Clin Epidemiol. 1997 Aug;50(8):925-37. — View Citation

Matthews CE, Freedson PS, Hebert JR, Stanek EJ 3rd, Merriam PA, Ockene IS. Comparing physical activity assessment methods in the Seasonal Variation of Blood Cholesterol Study. Med Sci Sports Exerc. 2000 May;32(5):976-84. — View Citation

Merriam PA, Ockene IS, Hebert JR, Rosal MC, Matthews CE. Seasonal variation of blood cholesterol levels: study methodology. J Biol Rhythms. 1999 Aug;14(4):330-9. — View Citation

Stanek EJ 3rd, Well A, Ockene I. Why not routinely use best linear unbiased predictors (BLUPs) as estimates of cholesterol, per cent fat from kcal and physical activity? Stat Med. 1999 Nov 15;18(21):2943-59. — View Citation

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