Evidence map›Paper›PMID 38761280›Full record

ArticleEuropean journal of nutrition2024

Higher plant-derived nitrate intake is associated with lower odds of frailty in a cross-sectional study of community-dwelling older women.

Eleanor Hayes, Elsa Dent, Oliver M Shannon, Lie Zhou Zhong, Trent Bozanich, Lauren C Blekkenhorst, Kun Zhu, Catherine P Bondonno, Mario Siervo, Emiel O Hoogendijk and 4 more

Abstract read
In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Eleanor HayesFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.
Elsa DentResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, South Australia, Australia.
Oliver M ShannonHuman Nutrition and Exercise Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Lie Zhou ZhongNutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, WA, Australia.
Trent BozanichNutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, WA, Australia.
Lauren C BlekkenhorstNutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, WA, Australia.
Kun ZhuMedical School, The University of Western Australia, Perth, WA, Australia.
Catherine P BondonnoNutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, WA, Australia.
Mario SiervoSchool of Public Health, Curtin University, Perth, WA, Australia.
Emiel O HoogendijkDepartment of Epidemiology and Data Science, VU University Medical Center, Amsterdam UMC, Amsterdam, Netherlands.
Jonathan M HodgsonNutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, WA, Australia.
Richard L PrinceMedical School, The University of Western Australia, Perth, WA, Australia.
Joshua R LewisNutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, WA, Australia.
Marc SimNutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, WA, Australia. marc.sim@ecu.edu.au.ORCID http://orcid.org/0000-0001-5166-0605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDietary nitrate intake is inversely related to numerous contributors towards frailty, including cardiovascular disease and poor physical function. Whether these findings extend to frailty remain unknown. We investigated if habitual nitrate intake, derived from plants or animal-based foods, was cross-sectionally associated with frailty in women.

methodsCommunity-dwelling older Australian women (n = 1390, mean age 75.1 ± 2.7 years) completed a validated semi-quantitative food frequency questionnaire (FFQ). Nitrate concentrations in food were obtained from international nitrate databases. We adopted the Rockwood frailty index (FI) of cumulative deficits comprising 33 variables across multiple health domains (scored 0 to 1), which predicts increased hospitalisation and mortality risk. A FI ≥ 0.25 indicated frailty. Cross-sectional associations between nitrate intake (total plant and animal nitrate, separately) and frailty were analysed using multivariable-adjusted logistic regression models (including lifestyle factors), as part of restricted cubic splines.

resultsA non-linear inverse relationship was observed between total plant nitrate intake and frailty. Compared to women with the lowest plant nitrate intake (Quartile [Q]1), women with greater intakes in Q2 (OR 0.69 95%CI 0.56-0.84), Q3 (OR 0.67 95%CI 0.50-0.90) and Q4 (OR 0.66 95%CI 0.45-0.98) had lower odds for frailty. A nadir in the inverse association was observed once intakes reached ~ 64 mg/d (median Q2). No relationship was observed between total animal nitrate and frailty.

conclusionCommunity-dwelling older women consuming low amounts of plant-derived nitrate were more likely to present with frailty. Consuming at least one daily serving (~ 75 g) of nitrate-rich green leafy vegetables may be beneficial in preventing frailty.

Indexed as

FrailtyIndependent LivingNitratesAgedAged, 80 and overAustraliaCross-Sectional StudiesDietFemaleFrail ElderlyGeriatric AssessmentHumansSurveys and QuestionnairesNitratesCumulative deficitsFrailty indexNitric oxidePlant-foodsWomens health

Identifiers

PMID38761280
PMCPMC11377636

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.