Low total plasma carotenoids are independent predictors of mortality among older persons: the InCHIANTI study.
BACKGROUND
Plasma carotenoids are considered a valid biological marker for fruit and vegetable dietary intake. Recent studies show that low carotenoid levels are associated with a high risk of inflammation, cancer, and cardiovascular disease.


OBJECTIVE
To determine whether low plasma carotenoids are associated with increased mortality among older adults.


METHODS
Longitudinal study among 1,043 adults, 65 years and older, in the InCHIANTI study, a population-based cohort of adults living in the community in the Tuscany region, Italy.


RESULTS
Mean total carotenoid concentration was 1.80 micromol/l. During eight years of follow-up, 310 (29.7%) of participants died. Eight-year survival was lower in the lowest compared with the highest tertile of total serum carotenoids (P < 0.0001 by Mantel-Haenszel chi-square). In a multivariate Cox proportional hazards model adjusted for age, education, smoking, body mass index, energy intake, and chronic diseases, adults in the highest tertile of plasma carotenoids at enrollment had lower mortality compared to those in the lowest tertile (Hazards Ratio obtained by considering carotenoids level as an ordinal variable 0.81, 95%; CI 0.65-0.99; P for trend = 0.046).


CONCLUSIONS
Low plasma carotenoids are an independent risk factor for mortality among older adults living in the community.
Lauretani
Fulvio
F
Tuscany Regional Agency, Florence, Italy. flauretani@ao.pr.it
Semba
Richard D
RD
Dayhoff-Brannigan
Margaret
M
Corsi
Anna Maria
AM
Di Iorio
Angelo
A
Buiatti
Eva
E
Bandinelli
Stefania
S
Guralnik
Jack M
JM
Ferrucci
Luigi
L
D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D002338:Carotenoids / Q000097:blood* / Q000172:deficiency*; D015331:Cohort Studies; D005260:Female; D005500:Follow-Up Studies; D005638:Fruit; D006801:Humans; D007558:Italy / Q000453:epidemiology; D008137:Longitudinal Studies; D008297:Male; D009026:Mortality; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D012307:Risk Factors; D014675:Vegetables
D015415:Biomarkers; D002338:Carotenoids