Type of Dietary Fat Intakes in Relation to Mortality in US Adults: An Iso-caloric Substitution Analysis From the American National Health and Nutrition Examination Survey Linked to the US Mortality Registry

NCT03220139 | Completed

• 1 other identifier: XXXX1
• Study Type: observational
• Target: 18,372
• Locations: 0 countries
• Sites: N/A

Brief Summary

Background Cancer and cardiovascular diseases combined account for more than 50% of the overall mortality burden in the USA. Accumulating evidence indicates that saturated fat intake is related to an increase, while unsaturated fat intake is related to a decrease in all-causes mortality. Thus, current US dietary guidelines recommend a shift from saturated to unsaturated fat. Objective The aim of the present study was to estimate the mortality risk reduction related to a dietary change from saturated fat to an equal amount of mono or polyunsaturated fat intake. Design The American National health and nutrition examination surveys conducted between 1999 and 2010 were linked to the 2011 national US death registry resulting in an observational prospective mortality study. Proportional hazards Cox models were used to evaluate the association between saturated, mono-unsaturated and poly-unsaturated fat with all-cause, and cause specific mortality. Substitution analysis was conducted to estimate an iso-caloric substitution of 10% of the energy from dietary fat intake applied to the substitution of saturated fat with an equal amount of energy from mono-unsaturated or poly-unsaturated fat.

Conditions

Diet Modification

Outcome Measures

Primary Outcomes (1)

• all causes and specific cause mortality

  specific cause mortality = cancer and cardiovascular disease

  up to 9 years of observatinal time

Interventions

fat intake OTHER

Observational study on fat intake and mortality

Eligibility Criteria

• Age: 30 Years - 85 Years
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Apparently healthy US adults age\>=30

You may qualify if:

• Included NHANES 1999-2010
• age \>= 30 years old

You may not qualify if:

• Record not reported in the mortality linked file
• Cancer, type-II diabetes, cardiovascular disease at baseline
• Missing data on covariates used in the model

Sponsors & Collaborators

• North-West University, South Africa: lead

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Target Duration: 6 Years
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Dr

Study Record Dates

• First Submitted: July 6, 2017
• First Posted: July 18, 2017
• Study Start: January 1, 1999
• Primary Completion: January 1, 2011
• Study Completion: January 1, 2017
• Last Updated: July 19, 2017

Record last verified: 2017-07

Data Sharing

• IPD Sharing: Will share