Low vitamin intake is associated with risk of frailty in older adults

Abstract

a lower intake of vitamins B6, C, E and folates was associated with a higher risk of frailty. Not meeting RDAs for vitamins was also strongly associated.

Low intake of vitamins B6, C, E and folate from dietary sources may lead to a higher risk of developing frailty in older adults

“…The aim of their analysis was to assess the association between dietary vitamin intake and the development of frailty in older adults 4. A total of 1643 community-dwelling participants aged 65 years or older were included.…”

“…The focus of analysis for Balboa-Castillo et al 4 was dietary intake of 10 key vitamins, including vitamins A, B 6 , B 12 , C, D, E, thiamine, riboflavin, niacin and folate, in those aged >65 years and their association with the development of frailty. Although not all of the data analysed showed statistically significant results, the authors note that, overall, those who failed to meet the recommended daily intake of five or more vitamins were at increased risk of frailty 4. It is suggested that vitamin intake could be easily ascertained with a simple dietary interview.…”

Association between frailty and vitamin B12 in the older Korean population

“…In addition, the not-frail group had a higher proportion of individuals living in urban areas. In terms of comorbidities, the frail group had higher proportion of individuals with dementia, OA, [ 31 ] RA, and osteoporosis (Table 1 ).…”

“…In a 3.5-year follow-up, the lower intake of vitamins B6, C, E, and folates was associated with a higher risk of frailty, but B12 was not correlated. [ 31 ] Swart et al evaluated the effect of a 2-year daily oral supplementation of 500 ug of B12 in the intervention group (1454 patients) and control group (1452 patients). Physical performance including gait speed, HGS, and fall risk were also measured.…”

“…Univariable and multivariable logistic regression analyses were used to evaluate the odds ratio (OR) of frailty and sarcopenia depending on the B12 levels. Each multivariable model for multiple correlations between physical functions and other potential confounder variables such as age, sex, education periods, location of residence, body mass index, alcohol use, current smoker, depression, marital status, annual income, depression, osteoarthritis, [ 31 ] rheumatoid arthritis (RA), osteoporosis, diabetes mellitus, cardiovascular, and pulmonary diseases were fully adjusted. The collected data were analyzed using SPSS 23.0 (IBM, Inc, Chicago, IL) software, and a P value of <.05 was considered significant.…”