Evidence map›Paper›PMID 37919716›Full record

ArticleBMC public health2023

Associations of screen-based sedentary activities with all cause dementia, Alzheimer's disease, vascular dementia: a longitudinal study based on 462,524 participants from the UK Biobank.

Shiqi Yuan, Wanyue Li, Yitong Ling, Xiaxuan Huang, Aozi Feng, Shanyuan Tan, Ningxia He, Li Li, Shuna Li, Anding Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 pooled it
1.6field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 4 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
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 at 2 institutions in 1 country.

Shiqi Yuan *Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Wanyue Li *Department of Rehabilitation, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Yitong Ling *Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Xiaxuan HuangDepartment of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Aozi FengDepartment of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Shanyuan TanDepartment of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Ningxia HeDepartment of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Li LiDepartment of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Shuna LiDepartment of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
Anding XuDepartment of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China. tlil@jnu.edu.cn.
Jun LyuDepartment of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China. lyujun2020@jnu.edu.cn.
First Affiliated Hospital of Jinan University · CNGuangdong Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent drug treatments for dementia aren't effective. Studying gene-environment interactions can help develop personalized early intervention strategies for Alzheimer's disease (AD). However, no studies have examined the relationship between screen-based sedentary activities and genetic susceptibility to AD risk, and further understanding of the causal relationship is also crucial.

methodsThis study included 462,524 participants from the UK Biobank with a follow-up of 13.6 years. Participants' screen-based sedentary activities time was categorized into three groups based on recorded time: ≥ 4 h/day, 2-3 h/day, and ≤ 1 h/day. Cox proportional risk models were used to analyze the association between computer use/TV viewing groups and the risk of all-cause dementia, AD and vascular dementia (VD). Generalized linear model (GLM) were used to examine the relationship between screen-based sedentary activities and brain structure. Bidirectional Mendelian randomization (MR) was used to validate the causal relationship between TV viewing and AD.

resultsCompared to TV viewing ≤ 1 h/day, 1)TV viewing 2-3 h/day was correlated with a higher risk of all-cause dementia (HR = 1.09, 95% CI:1.01-1.18, P < 0.05), and TV viewing ≥ 4 h/day was associated with a higher risk of all-cause dementia (HR = 1.29, 95% CI: 1.19-1.40, P < 0.001), AD (HR = 1.25, 95% CI:1.1-1.42, P < 0.001), and VD (HR = 1.24, 95% CI: 1.04-1.49, P < 0.05); 2) TV viewing ≥ 4 h/day was correlated with a higher AD risk at intermediate (HR = 1.34, 95% CI: 1.03-1.75, P < 0.001) and high AD genetic risk score (AD-GRS) (HR = 2.18, 95% CI: 1.65-2.87, P < 0.001);3) TV viewing 2-3 h/day [β = (-94.8), 95% CI: (-37.9) -(-151.7), P < 0.01] and TV viewing ≥ 4 h/day [β = (-92.94), 95% CI: (-17.42) -(-168.46), P < 0.05] were correlated with a less hippocampus volume. In addition, a causal effect of TV viewing times was observed on AD analyzed using MR Egger (OR = 5.618, 95%CI:1.502-21.013, P < 0.05).

conclusionsThere was a causal effect between TV viewing time and AD analyzed using bidirectional MR, and more TV viewing time exposure was correlated with a higher AD risk. Therefore, it is recommended that people with intermediate and high AD-GRS should control their TV viewing time to be less than 4 h/ day or even less than 1 h/day.

Indexed as

Alzheimer DiseaseDementia, VascularBiological Specimen BanksExerciseHumansLongitudinal StudiesUnited KingdomBidirectional Mendelian randomizationBrain structureDementiaGenetic susceptibilityTV viewingUK Biobank

Identifiers

PMID37919716
PMCPMC10621115
OpenAlexW4388210872

What OpenQuestion holds

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LicenceCC BY
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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.