2014
DOI: 10.1007/s12603-014-0556-7
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Inverse association between dietary habits with high total antioxidant capacity and prevalence of frailty among elderly Japanese women: A multicenter cross-sectional study

Abstract: Dietary habits with high TAC showed a stronger inverse association with frailty in elderly Japanese women than the individual foods examined.

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Cited by 56 publications
(48 citation statements)
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“…One study, published in 2013 as part of the Whitehall II prospective cohort study, showed that not consuming FVs during adulthood (45-60 y) was associated with an increased risk of prefrailty and frailty after 10.5 y of follow-up (28). Another investigation, a crosssectional analysis published in 2014, showed an inverse doseresponse association between consuming FVs and the prevalence of frailty among women aged $65 y (29). However, no study to our knowledge has yet examined the prospective dose-response relation between FV consumption and frailty.…”
Section: Introductionmentioning
confidence: 99%
“…One study, published in 2013 as part of the Whitehall II prospective cohort study, showed that not consuming FVs during adulthood (45-60 y) was associated with an increased risk of prefrailty and frailty after 10.5 y of follow-up (28). Another investigation, a crosssectional analysis published in 2014, showed an inverse doseresponse association between consuming FVs and the prevalence of frailty among women aged $65 y (29). However, no study to our knowledge has yet examined the prospective dose-response relation between FV consumption and frailty.…”
Section: Introductionmentioning
confidence: 99%
“…A detailed description of the study design and survey procedure has been published elsewhere [13, 19]. Briefly, two questionnaires for diet and lifestyle were distributed to a total of 7016 dietetic freshmen students in April 2011 or 2012.…”
Section: Methodsmentioning
confidence: 99%
“…Pearson’s correlation coefficients of protein intake between that from the 16-d dietary record and that from the BDHQ in 92 women aged 31–69 was 0.35 [21]. Dietary TAC was calculated using the answers of the BDHQ and the TAC value we assigned to each food item in the BDHQ [19]. To develop the TAC database for the BDHQ, we searched for analytical values by PubMed database.…”
Section: Methodsmentioning
confidence: 99%
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