Evidence map›Paper›PMID 38001429›Full record

ArticleBMC geriatrics2023

Association between BMI trajectories in late-middle age and subsequent dementia risk in older age: a 26-year population-based cohort study.

Zijian Qin, Zheran Liu, Ruidan Li, Yaxin Luo, Zhigong Wei, Ling He, Yiyan Pei, Yonglin Su, Xiaolin Hu, Xingchen Peng

Abstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. The Economic Cost of Obesity: A Cost-of-Illness Study in Greece.Applied health economics and health policy · 2026
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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

10 authors.

Zijian Qin *Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Zheran Liu *Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Ruidan Li *Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yaxin LuoDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Zhigong WeiDepartment of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Ling HeDepartment of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yiyan PeiDepartment of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yonglin SuWest China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. daage@163.com.
Xiaolin HuWest China School of Nursing, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. huxiaolin@wchscu.cn.
Xingchen PengDepartment of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. pxx2014@163.com.

Funding

National Natural Science Foundation of China 82172842, 81803104 and 81672386Postdoctoral research and Development Fund and Translational medicine fund of West China Hospital 2020HXBH119 and CGZH19002Sichuan Province Science and Technology Support Program 2021YFSY008, 2020YFS0276the Technology Innovation Project of Chengdu Science and Technology Bureau 2019-YF05-00459-SNWest China Nursing Discipline Development Special Fund Project HXHL21008
6 · The paper itself

Abstract

backgroundThe association between body mass index (BMI) and dementia risk differs depending on follow-up time and age at BMI measurement. The relationship between BMI trajectories in late-middle age (50-65 years old) and the risk of dementia in older age (> 65 years old) has not been revealed.

methodsIn the present study, participants from the Health and Retirement Study were included. BMI trajectories were constructed by combining BMI trend and variation information. The association between BMI trajectories at the age of 50-65 years and dementia risk after the age of 65 years was investigated. Participants with European ancestry and information on polygenic scores for cognitive performance were pooled to examine whether genetic predisposition could modify the association.

resultsA total of 10,847 participants were included in the main analyses. A declining BMI trend and high variation in late-middle age were associated with the highest subsequent dementia risk in older age compared with an ascending BMI trend and low variation (RR = 1.76, 95% CI = 1.45-2.13). Specifically, in stratified analyses on BMI trajectories and dementia risk based on each individual's mean BMI, the strongest association between a declining BMI trend with high variation and elevated dementia risk was observed in normal BMI group (RR = 2.66, 95% CI = 1.72-4.1). Similar associations were found when participants were stratified by their genetic performance for cognition function without interaction.

conclusionsA declining BMI trend and high variation in late-middle age were associated with a higher risk of dementia. Early monitoring of these individuals is needed to prevent dementia in older individuals.

Indexed as

DementiaAgedBody Mass IndexCognitionCohort StudiesHumansRisk FactorsBody mass indexDementiaGenetic performancePopulation-based cohort study

Identifiers

PMID38001429
PMCPMC10675868

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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.