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The association of genetic susceptibility to smoking with cardiovascular disease mortality and the benefits of adhering to a DASH diet: The Singapore Chinese Health Study.

The American journal of clinical nutrition
August 4, 2022
Tingting Geng et al. (12 authors)
Journal ArticleResearch Support, Non-U.S. Gov'tResearch Support, N.I.H., ExtramuralHuman Study
Study Details

Study Goal

The researchers aimed to determine whether the DASH diet modifies the association between genetic predisposition to smoking and cardiovascular disease (CVD) mortality.

Results Summary

The study found that the DASH diet significantly modified the association between genetic predisposition to smoking and CVD mortality, with higher CVD mortality observed among individuals with lower DASH scores.

Population

23,760 Chinese adults from the Singapore Chinese Health Study, free of cancer and CVD at recruitment.

Effective Dosage

Not specified

Duration

Mean follow-up of 22.6 years

Interactions

None mentioned

Extracted Claims (4)
InterventionDirectionEndpointPopulationDosageImpactClaim #
genetic predisposition to ever smoking
increase
CVD mortality
Chinese adults from the Singapore Chinese Health Study
HR 1.07 (95% CI: 1.03-1.12) per-SD increment in wGRS
was significantly associated with
#1
ever smoking
no change
CVD mortality
Chinese adults from the Singapore Chinese Health Study
OR 1.13 (95% CI: 0.87-1.45)
did not support a causal relationship with
#2
Dietary Approaches to Stop Hypertension (DASH) score
neutral
CVD mortality
Chinese adults from the Singapore Chinese Health Study
P-interaction = 0.004
significantly modified the association between
#3
genetic predisposition to smoking
increase
CVD mortality
individuals with a low DASH score
-
was associated with
#4
Abstract

BACKGROUND: Understanding the genetic predisposition to cardiovascular disease (CVD) may help to improve clinical intervention strategies. Lifestyle factors, such as diet, may differ among ethnic groups and may, in turn, modify individuals' risks to diseases. OBJECTIVES: We examined the genetic predisposition to ever smoking in relation to CVD mortality and assessed whether such an association could be modified by dietary intake. METHODS: A total of 23,760 Chinese adults from the Singapore Chinese Heath Study who were free of cancer and CVD at recruitment (1993-1998) were included in the study. A weighted genetic risk score (wGRS) was calculated to define the genetically determined regular smoking behavior (never or ever). Multivariable-adjusted Cox regression models were used to assess the association between the wGRS and CVD mortality. We also conducted a 1-sample Mendelian randomization analysis for ever smoking and CVD mortality. RESULTS: Over a mean of 22.6 years of follow-up, 2301 CVD deaths were identified. A genetic predisposition to ever smoking was significantly associated with CVD mortality; the multivariable-adjusted HR of CVD mortality was 1.07 (95% CI: 1.03-1.12), with a per-SD increment in the wGRS. However, the Mendelian randomization analysis did not support a causal relationship between ever smoking and CVD mortality (OR, 1.13; 95% CI: 0.87-1.45). Additionally, the Dietary Approaches to Stop Hypertension (DASH) score significantly modified the association between the smoking wGRS and CVD mortality; the association between a genetic predisposition to smoking and CVD mortality was only observed among individuals with a low DASH score (P-interaction = 0.004). CONCLUSIONS: A genetic predisposition to smoking was associated with CVD mortality in the Chinese population. In addition, we detected a significant interaction showing higher CVD mortality related to genetically determined smoking among those with lower DASH scores.

Medical Subject Headings (MeSH)
AdultCardiovascular DiseasesChinaDietDietary Approaches To Stop HypertensionGenetic Predisposition to DiseaseHumansHypertensionRisk FactorsSingaporeSmoking
Study Links
Quality Scores
SafetyNot Assessed
Efficacy75/10
Quality85/10
Citation Metrics
Total Citations4
Citations/Year1.3
Relative Citation Ratio0.52
NIH Percentile28%
Research Impact Scores
APT Score0.25
Weight Score2.57
Normalized Score0.67
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