Evidence map›Paper›PMID 29317416›Full record

ArticleBMJ open2018

The association between macronutrient intake and cognition in individuals aged under 65 in China: a cross-sectional study.

Bingjie Ding, Rong Xiao, Weiwei Ma, Lei Zhao, Yanxia Bi, Yong Zhang

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 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

6 authors.

Bingjie DingDepartment of Clinical Nutrition, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Rong XiaoSchool of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China.
Weiwei MaSchool of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China.
Lei ZhaoDepartment of Molecular Physiology and Biophysics, Holden Comprehensive Cancer Center, University of Iowa Carver College of Medicine, Iowa, USA.
Yanxia BiDepartment of Clinical Nutrition, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yong ZhangDepartment of Chronic Disease, Daxing Centre for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this retrospective study was to explore the correlation between daily energy intake from macronutrients and cognitive functions in a Chinese population aged less than 65 years.

designThis is a cross-sectional study to explore the relationships between macronutrients' intake and cognitive function. The analysis of variance (ANOVA) and χ

participantsYoung and middle-aged participants (age <65 years) were recruited from Beijing, China. The Montreal cognitive assessment (MoCA) and mini-mental state examination (MMSE) were used to evaluate the cognitive functions, and the dietary intake of the participants was estimated with a semi-quantitative food frequency questionnaire (FFQ).

resultsAmong the 661 participants, 80 (12.1%) had MCI, while 581 (87.9%) had normal cognitive functions. On evaluating the data based on the age group, educational background, and conditions of hyperlipidaemia and total energy intake, the results revealed that high % fat (upper quartile: adjusted OR (aOR) 3.90, 95% CI1.53 to 9.89, P=0.004), and high % protein intake (upper quartile: aOR 2.77, 95% CI 1.24 to 6.15) were greatly associated with increased frequency of MCI, while high % carbohydrate intake (upper quartile: aOR0.30, 95% CI 0.12 to 0.72) was correlated with decreased prevalence of MCI.

conclusionThe dietary pattern with high percentage of energy intake from fat and protein, and low-energy intake from carbohydrate might have been associated with cognitive decline in a Chinese population under 65 years of age.

Indexed as

CognitionEnergy IntakeAdultAge FactorsAnalysis of VarianceBeijingBody Mass IndexCognitive DysfunctionCross-Sectional StudiesDietary CarbohydratesDietary FatsDietary ProteinsEducational StatusFemaleHumansLogistic ModelsDietary CarbohydratesDietary FatsDietary Proteinsdietary patternenergy intakemacronutrientsmild cognitive impairment

Identifiers

PMID29317416
PMCPMC5781185

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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.