Vitamin B12 and folate deficiencies are not associated with nutritional or weight status in older adults

Soysal, Pınar; Smith, Lee; Capar, Emre; Kalan, Ugur; Arık, Ferhat; Işık, Ahmet Turan

doi:10.1016/j.exger.2018.12.007

Cited by 16 publications

(18 citation statements)

References 31 publications

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“…However, alcohol intake, smoking, BMI and body composition did not prove to be factors influencing serum cobalamin or serum folate after adjusting for simultaneous inference. These results are in line with findings from cross-sectional studies in older adults in which cobalamin and folate status were not associated with nutritional status and BMI [55] or smoking and alcohol intake [16].…”

Section: Discussionsupporting

confidence: 90%

Dynamics and interactions of cobalamin and folate status during advanced aging – a longitudinal study in a community-dwelling cohort with multiple follow-ups

Jungert

Zenke-Philippi

Neuhäuser‐Berthold

2020

Nutr J

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Background: Older people are reported to be prone to imbalances between cobalamin and folate status with possible adverse effects on health. This longitudinal study investigates dynamics and interactions of cobalamin and folate status in a cohort of community-dwelling older adults by considering possible influencing factors. Methods: In total, 332 subjects ≥ 60 years were investigated over a mean observation period of 12 years. Data collection included serum cobalamin, folate and creatinine, dietary intakes of cobalamin, folate and alcohol, use of supplements, body composition, smoking behavior, and diseases. Linear mixed-effects models with repeated measurements were used to investigate the influence of variables on serum cobalamin and folate. Results: At baseline, median cobalamin intake exceeded the dietary reference value (DRV), while median folate intake was considerably below DRV. In most subjects, serum concentrations of both vitamins were within reference ranges. For serum cobalamin, apart from supplement use (Parameter estimate [95% confidence interval]: 130.17 [53.32, 207.01]), the main positive predictor was serum folate (4.63 [2.64, 6.62]). For serum folate, serum creatinine (10.85 [4.85, 16.86]), use of supplements (7.86 [5.05, 10.67]), serum cobalamin (0.01 [< 0.01, 0.01]), and dietary folate intake (0.02 [0.01, 0.03]) were positive predictors. No main effects of age, sex, body composition, alcohol intake or smoking were found after adjusting for simultaneous inference. Conclusions: Advancing age, per se, is no risk factor for a decline in serum concentrations of cobalamin or folate in subjects ≥ 60 years. Suboptimal folate intake may limit the function of folate regarding the supply of methyl groups for methylation of cobalamin and subsequent creatine biosynthesis. The positive association of serum creatinine with folate deserves further exploration with regard to its possible relevance for maintaining energy dependent functional integrity in the course of ageing.

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Section: Discussionsupporting

confidence: 90%

Dynamics and interactions of cobalamin and folate status during advanced aging – a longitudinal study in a community-dwelling cohort with multiple follow-ups

Jungert

Zenke-Philippi

Neuhäuser‐Berthold

2020

Nutr J

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“…In fact, the result is not surprising because it has been shown in previous studies that these micronutrients are not related to nutritional status in older people. 36 Our study has some limitations. First, it is cross-sectional and its diagnosis is based on clinical, physical examination and cranial imaging, and cannot be verified by the neuropathologic examination.…”

Section: Discussionmentioning

confidence: 89%

The Relationship Between Dementia Subtypes and Nutritional Parameters in Older Adults

Soysal

Dokuzlar

Erken

et al. 2020

Journal of the American Medical Directors Association

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“…However, current malnutrition screening tools may not be designed to detect early signs of poor nutrition such as declining diet quality. The observed prevalence of poor diet quality in older populations [27][28][29], together with findings of low nutrient intakes among older adults who are not at risk of malnutrition when screened [5,6], highlight the need for new screening approaches to identify and quantify that early risk. Although a recent review identified more than 30 malnutrition screening tools [30], surprisingly few have been developed to screen for other aspects of declining nutrition in older populations.…”

Section: Discussionmentioning

confidence: 99%

The relationship of nutritional risk with diet quality and health outcomes in community-dwelling older adults

et al. 2021

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Objectives To identify early nutritional risk in older populations, simple screening approaches are needed. This study aimed to compare nutrition risk scores, calculated from a short checklist, with diet quality and health outcomes, both at baseline and prospectively over a 2.5-year follow-up period; the association between baseline scores and risk of mortality over the follow-up period was assessed. Methods The study included 86 community-dwelling older adults in Southampton, UK, recruited from outpatient clinics. At both assessments, hand grip strength was measured using a Jamar dynamometer. Diet was assessed using a short validated food frequency questionnaire; derived ‘prudent’ diet scores described diet quality. Body mass index (BMI) was calculated and weight loss was self-reported. Nutrition risk scores were calculated from a checklist adapted from the DETERMINE (range 0–17). Results The mean age of participants at baseline (n = 86) was 78 (SD 8) years; half (53%) scored ‘moderate’ or ‘high’ nutritional risk, using the checklist adapted from DETERMINE. In cross-sectional analyses, after adjusting for age, sex and education, higher nutrition risk scores were associated with lower grip strength [difference in grip strength: − 0.09, 95% CI (− 0.17, − 0.02) SD per unit increase in nutrition risk score, p = 0.017] and poorer diet quality [prudent diet score: − 0.12, 95% CI (− 0.21, − 0.02) SD, p = 0.013]. The association with diet quality was robust to further adjustment for number of comorbidities, whereas the association with grip strength was attenuated. Nutrition risk scores were not related to reported weight loss or BMI at baseline. In longitudinal analyses there was an association between baseline nutrition risk score and lower grip strength at follow-up [fully-adjusted model: − 0.12, 95% CI (− 0.23, − 0.02) SD, p = 0.024]. Baseline nutrition risk score was also associated with greater risk of mortality [unadjusted hazard ratio per unit increase in score: 1.29 (1.01, 1.63), p = 0.039]; however, this association was attenuated after adjustment for sex and age. Conclusions Cross-sectional associations between higher nutrition risk scores, assessed from a short checklist, and poorer diet quality suggest that this approach may hold promise as a simple way of screening older populations. Further larger prospective studies are needed to explore the predictive ability of this screening approach and its potential to detect nutritional risk in older adults.

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Vitamin B12 and folate deficiencies are not associated with nutritional or weight status in older adults

Cited by 16 publications

References 31 publications

Dynamics and interactions of cobalamin and folate status during advanced aging – a longitudinal study in a community-dwelling cohort with multiple follow-ups

Dynamics and interactions of cobalamin and folate status during advanced aging – a longitudinal study in a community-dwelling cohort with multiple follow-ups

The Relationship Between Dementia Subtypes and Nutritional Parameters in Older Adults

The relationship of nutritional risk with diet quality and health outcomes in community-dwelling older adults

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