Evidence map›Paper›PMID 38439008›Full record

ArticleBMC public health2024

Nutrient intake and risk of multimorbidity: a prospective cohort study of 25,389 women.

Ge Song, Weimin Li, Yanfen Ma, Yao Xian, Xia Liao, Xueliang Yang, Huifeng Zhang, Janet E Cade

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

Ge SongDepartment of Clinical Nutrition, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, 710061, Xi'an, China.
Weimin LiDepartment of Clinical Nutrition, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, 710061, Xi'an, China.
Yanfen MaDepartment of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, 710061, Xi'an, China.
Yao XianDepartment of Clinical Nutrition, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, 710061, Xi'an, China.
Xia LiaoDepartment of Clinical Nutrition, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, 710061, Xi'an, China.
Xueliang YangDepartment of Clinical Nutrition, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, 710061, Xi'an, China.
Huifeng ZhangDepartment of Clinical Nutrition, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, 710061, Xi'an, China. hfzhang@xjtu.edu.cn.
Janet E CadeSchool of Food Science and Nutrition, University of Leeds, LS2 9AT, Leeds, UK.

Funding

Natural Science Basic Research Program of Shaanxi S2023-JC-QN-1424Science and Technology Program of Xi'an 23YXYJ0132
6 · The paper itself

Abstract

backgroundMultimorbidity is becoming an increasingly serious public health challenge in the aging population. The impact of nutrients on multimorbidity remains to be determined and was explored using data from a UK cohort study.

methodOur research analysis is mainly based on the data collected by the United Kingdom Women's Cohort Study (UKWCS), which recruited 35,372 women aged 35-69 years at baseline (1995 to 1998), aiming to explore potential associations between diet and chronic diseases. Daily intakes of energy and nutrients were estimated using a validated 217-item food frequency questionnaire at recruitment. Multimorbidity was assessed using the Charlson comorbidity index (CCI) through electronic linkages to Hospital Episode Statistics up to March 2019. Cox's proportional hazards models were used to estimate associations between daily intakes of nutrients and risk of multimorbidity. Those associations were also analyzed in multinomial logistic regression as a sensitivity analysis. In addition, a stratified analysis was conducted with age 60 as the cutoff point.

resultsAmong the 25,389 participants, 7,799 subjects (30.7%) were confirmed with multimorbidity over a median follow-up of 22 years. Compared with the lowest quintile, the highest quintile of daily intakes of energy and protein were associated with 8% and 12% increased risk of multimorbidity respectively (HR 1.08 (95% CI 1.01, 1.16), p-linearity = 0.022 for energy; 1.12 (1.04, 1.21), p-linearity = 0.003 for protein). Higher quintiles of daily intakes of vitamin C and iron had a slightly lowered risk of multimorbidity, compared to the lowest quintile. A significantly higher risk of multimorbidity was found to be linearly associated with higher intake quintiles of vitamin B12 and vitamin D (p-linearity = 0.001 and 0.002, respectively) in Cox models, which became insignificant in multinomial logistic regression. There was some evidence of effect modification by age in intakes of iron and vitamin B1 associated with the risk of multimorbidity (p-interaction = 0.006 and 0.025, respectively).

conclusionsOur findings highlight a link between nutrient intake and multimorbidity risk. However, there is uncertainty in our results, and more research is needed before definite conclusions can be reached.

Indexed as

EatingMultimorbidityAgedCohort StudiesFemaleHumansIronProspective StudiesVitaminsIronVitaminsCharlson comorbidity indexHospital episode statisticsMultimorbidityNutrient intake

Identifiers

PMID38439008
PMCPMC10913224

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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.