Prevention of cardiovascular disease and cancer mortality by achieving healthy dietary goals for the Swedish population: A macro-simulation modelling study

Sanjib Saha, Jonas Nordstrom, Ulf G. Gerdtham, Irene Mattisson, Peter M. Nilsson, Peter Scarborough

6 Citationer (Scopus)
17 Downloads (Pure)

Abstract

The objective is to estimate the number of deaths attributable to cardiovascular diseases and diet-related cancers that could be prevented or delayed in Sweden if adults adhere to the official dietary recommendations. We used an age-group and sex-specific epidemiological macro-simulation model to estimate preventable deaths due to the discrepancies between actual intake and recommended intake of changes in food components. Data included in the model are a baseline scenario (actual dietary intake), a counterfactual scenario (recommended intake) and age- and sex-specific mortality for cardiovascular and diet-related cancer diseases together compared with the total population risk of a specific year. Monte Carlo analyses with 5000 iterations was performed to produce the 95% uncertainty intervals (UI). The model predicts that 6405 (95% UI: 5086⁻7086) deaths could be prevented or delayed if the Swedish population could adhere to official dietary recommendations in a year. More deaths would be saved for men than women. The recommendations for fruits and vegetables could have saved 47% of the deaths, followed by fiber intake (32%). For men, fruits and vegetables could have saved more compared to other dietary components, while for women dietary fiber was the prominent factor. Public health policies should consider ensuring healthy eating practices for the Swedish population.
OriginalsprogEngelsk
Artikelnummer890
TidsskriftInternational Journal of Environmental Research and Public Health
Vol/bind16
Udgave nummer5
Antal sider11
ISSN1661-7827
DOI
StatusUdgivet - 1 mar. 2019

Fingeraftryk

Dyk ned i forskningsemnerne om 'Prevention of cardiovascular disease and cancer mortality by achieving healthy dietary goals for the Swedish population: A macro-simulation modelling study'. Sammen danner de et unikt fingeraftryk.

Citationsformater