Evidence map›Paper›PMID 38341967›Full record

ArticleThe journal of nutrition, health & aging2024

Dietary inflammatory index, dietary total antioxidant capacity, and frailty among older Chinese adults.

Xiaoxia Li, Qingan Wang, Tao Ma, Xiaoyu Chang, Yixuan Xue, Yadi Zhang, Wanlu Liu, Yuhong Zhang, Yi Zhao

Open access · goldAbstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

9 authors at 1 institution in 1 country.

Xiaoxia LiSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
Qingan WangSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
Tao MaSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
Xiaoyu ChangSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China.
Yixuan XueSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
Yadi ZhangSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
Wanlu LiuSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
Yuhong ZhangSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China. Electronic address: zhangyh@nxmu.edu.cn.
Yi ZhaoSchool of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China. Electronic address: zhaoy@nxmu.edu.cn.
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFrailty is an age-related syndrome associated with poor health outcomes. Studies in developed countries indicate that the dietary inflammatory index (DII) and dietary total antioxidant capacity (DTAC) are important dietary factors influencing the risk of frailty in older adults. However, few studies have explored the association between DII, DTAC, and frailty among older Chinese adults. The objective of the current study was to examine whether DII and DTAC were associated with pre-frailty or frailty among older Chinese adults.

designA cross-sectional study.

settingCommunity-based.

participantsWe included 6414 participants aged ≥60 years. MEASUREMENTS: Dietary intake was assessed using a validated food frequency questionnaire (FFQ). The DII and energy-adjusted DII (E-DII) were calculated using food parameters. DTAC was estimated using two widely adopted antioxidant scores: DTAC based on ferric reducing antioxidant power and dietary antioxidant quality score (DAQS) obtained from vitamins (vitamins A, C, and E) and minerals (zinc and selenium) with antioxidant functions. Frailty was assessed using the frailty index (FI) calculated from 28 health-related deficits. Individuals were classified as robust (FI ≤ 0.10), pre-frailty (FI > 0.10 to <0.25), or frailty (FI ≥ 0.25). Multiple logistic regression models were used to evaluate the associations of DII and DTAC with pre-frailty and frailty.

resultsAfter adjusting for confounding factors, individuals in the highest DII quintile (Q5) were more likely to have pre-frailty (odds ratio [OR] = 1.56; 95% confidence interval [CI]: 1.25-1.93; P for trend <0.001) than those in the lowest Q1. A similar positive association was detected for E-DII and pre-frailty. A significant association was found between DII and frailty. Compared with the lowest Q1, the highest Q5 of DTAC was negatively correlated with pre-frailty (OR = 0.66; 95% CI: 0.52-0.84; P for trend <0.001) and frailty (OR = 0.71; 95% CI: 0.50-0.1.03; P for trend <0.001). The DAQS yielded results similar to pre-frailty results (OR = 0.72; 95% CI: 0.58-0.89; P < 0.001). There was no evidence suggesting an association between DAQS and frailty.

conclusionsMore proinflammatory diets were linked to higher pre-frailty risk, whereas higher levels of dietary antioxidants were associated with lower pre-frailty and frailty risk among older Chinese adults.

Indexed as

AntioxidantsDietFrailtyInflammationAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleFrail ElderlyGeriatric AssessmentHumansMaleMiddle AgedAntioxidantsDietary antioxidantsDietary inflammatory indexFrailtyFrailty indexOlder adults

Identifiers

PMID38341967
PMCPMC12877250
OpenAlexW4391715090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.