Evidence map›Paper›PMID 39609306›Full record

ArticleEuropean journal of ageing2024

Lifestyle factors and incident multimorbidity related to chronic disease: a population-based cohort study.

Yihui Du, Geertruida H de Bock, Judith M Vonk, An Thanh Pham, M Yldau van der Ende, Harold Snieder, Nynke Smidt, Paul F M Krabbe, Behrooz Z Alizadeh, Gerton Lunter and 1 more

Abstract read
In one paragraph

Article in European journal of ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Yihui DuDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Geertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
Judith M VonkDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
An Thanh PhamDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
M Yldau van der EndeDepartment of Cardiology, Division of Heart and Lungs, Utrecht University, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, the Netherlands.
Harold SniederDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
Nynke SmidtDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
Paul F M KrabbeDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
Behrooz Z AlizadehDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
Gerton LunterDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands.
Eva CorpeleijnDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, PO Box 30.001 (FA40), 9700 RB, Groningen, the Netherlands. e.corpeleijn@umcg.nl.

Funding

Scientific Research Foundation for Scholars of Hangzhou Normal University 4265C50223204066
6 · The paper itself

Abstract

backgroundMultimorbidity is linked to poor quality of life, and increased healthcare costs, and multimorbidity risk is potentially mitigated by a healthy lifestyle. This study evaluated the individual and joint contributions of an extensive set of lifestyle factors to the development of multimorbidity.

methodsA prospective study of 133,719 adults (age 45.2 ± 12.9, range 18-93 years) from the Dutch Lifelines cohort assessed the influence of lifestyle factors on multimorbidity, defined as having at least two of four major chronic diseases, using Cox regression models and population attributable fractions (PAFs). Lifestyle-related factors included diet quality, physical activity, TV watching, substance use (alcohol, smoking), sleep (duration, medication), stress (acute, chronic) and social connectedness (social contacts, marital status).

resultsOver a median follow-up of 3.4 years, 3687 (12.5%) of the 29,545 participants with a chronic disease at baseline developed multimorbidity, compared to 434 (0.4%) of the 104,174 without a chronic disease. Key lifestyle factors linked to multimorbidity included smoking, prolonged TV watching, and stress, with hazard ratios indicating a higher risk in both groups. Additionally, high alcohol consumption and inadequate sleep duration were found to increase multimorbidity risk specifically in those with a chronic disease. Lifestyle factors jointly accounted for 34.4% (PAF, 95%CI 28.8%-73.5%) (with baseline morbidity) and 55.6% (95%CI 17.2%-48.5%) (without) of multimorbidity cases, with smoking as the primary contributor.

conclusionsLifestyle factors, particularly smoking, alcohol consumption, TV watching, stress, and sleep, significantly contribute to the development of multimorbidity. The study underscores the importance of targeted prevention in public health and healthcare settings to manage and prevent multimorbidity.

Indexed as

Chronic diseaseChronic stressCohortLifestyle factorsMultimorbidityTV watching

Identifiers

PMID39609306
PMCPMC11604909

What OpenQuestion holds

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Registered trials

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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.