Evidence map›Paper›PMID 31685303›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2020

Higher dietary diversity scores and protein-rich food consumption were associated with lower risk of all-cause mortality in the oldest old.

Yuebin Lv, Virginia Byers Kraus, Xiang Gao, Zhaoxue Yin, Jinhui Zhou, Chen Mao, Jun Duan, Yi Zeng, Melanie Sereny Brasher, Wanying Shi and 1 more

Abstract readComparative Study
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
–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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Quantity and variety of food groups consumption and the risk of hypertension in adults: a prospective cohort study.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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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

11 authors.

Yuebin LvNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Virginia Byers KrausDuke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Xiang GaoDepartment of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA.
Zhaoxue YinDivision of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jinhui ZhouNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Chen MaoDivision of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Jun DuanNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yi ZengCenter for the Study of Aging and Human Development and the Geriatric Division of School of Medicine, Duke University, Durham, NC, USA; Center for Study of Healthy Aging and Development Studies, Peking University, Beijing, China.
Melanie Sereny BrasherDepartment of Sociology and Anthropology and Department of Human Development and Family Studies, University of Rhode Island, Kingston, RI, USA.
Wanying ShiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaoming ShiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: shixm@chinacdc.cn.

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC · 2006 to 2026
$24.6M
THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI VAUPEL, JAMES W. · 2009 to 2020
$10.2M
NIA NIH HHS P01 AG031719NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

BACKGROUND &

aimsDietary diversity is widely advocated in national and international recommendations although whether the beneficial effects on survival or longevity still apply in the final phase of the lifespan remains understudied. We aimed to prospectively examine the association of dietary diversity, food items with all-cause mortality among the oldest old (80+) and determine whether dietary diversity recommendations were appropriate for this population.

methodsThe study included 28,790 participants aged 80+ (9957 octogenarians, 9925 nonagenarians, and 8908 centenarians). A baseline dietary diversity score (DDS) was constructed based on nine food items of a food frequency questionnaire. Cox models with penalized splines evaluated non-linear associations of DDS as continuous variable with mortality to identify cut-offs of DDS.

resultsWe documented 23,503 deaths during 96,739 person-years of follow-up. Each one unit increase in DDS was associated with a 9% lower risk of mortality (adjusted hazard ratio (HR): 0.91; 95% confidential interval (CI): 0.90-0.92). Compared to participants whose DDS less than 2 scores, those with a DDS of 2, 3, 4, 5, and higher than 6 scores had a lower mortality risk, the HRs were 0.86 (0.82-0.89), 0.78 (0.75-0.81), 0.69 (0.66-0.72), 0.65 (0.62-0.68), and 0.56 (0.53-0.58) respectively, and a significant trend emerged (p < 0.001). Protein-rich food items were associated with prominent beneficial effects on mortality including meat (HR and 95% CI for high vs low frequency: 0.70 (0.68-0.72)), fish and sea food (HR, 0.74 (0.72-0.77)), egg (HR, 0.75 (0.73-0.77)), and bean (HR, 0.80 (0.78-0.82)).

conclusionsEven after the age of 80, the DDS tool may offer a simple and straightforward mean of identifying and screening individuals at high risk for mortality. Recommendation of dietary diversity, especially consumption of protein-rich food, may be advocated to reduce mortality risk and promote longevity in the oldest old.

Indexed as

Diet, HealthyFeeding BehaviorHealthy AgingLongevityRisk Reduction BehaviorAged, 80 and overAge FactorsCause of DeathChinaDietary ProteinsFemaleHumansMaleNutritive ValueProspective StudiesProtective FactorsDietary ProteinsCohort studyDietary diversityElderlyMortalityOldest oldProtein-rich food

Identifiers

PMID31685303
PMCPMC7182467

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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.