Evidence map›Paper›PMID 41335219›Full record

ArticleSleep & breathing = Schlaf & Atmung2025

Associations of sleep, lifestyle, and physiological markers with healthspan termination: a prospective cohort analysis.

Muhammed Lamin Sambou, Yifan Wang, Feifei Xu, Salimata Yakubu, Shuang Liang, Juncheng Dai

Erratum issuedAbstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Muhammed Lamin SambouDepartment. of Public & Environmental Health, School of Medicine & Allied Health Sciences, The University of the Gambia, Brikama Campus, Banjul, The Gambia. samboumola8@outlook.com.ORCID http://orcid.org/0000-0003-1590-3176
Yifan WangDepartment of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Feifei XuDepartment of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Salimata YakubuDepartment of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Shuang LiangDepartment of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Juncheng DaiDepartment of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe determinants of chronic diseases are complex, and we demonstrated how lifestyle-related factors interact with physiological factors to influence the risk of healthspan termination (HST).

methodsThis prospective cohort study include 217,412 UK Biobank participants aged 37 to 73. Multivariate-adjusted Cox regression models assessed individual associations between physiological and lifestyle-related factors with HST. Weighted Quantile Sum (WQS) regression models examined the relative importance of each risk factor and their cumulative effects on HST. Structural Equation Modeling (SEM) was conducted to clarify pathways linking lifestyle, physiological factors, and HST.

resultsWe observed statistically significant associations between lifestyle-related and physiological factors with HST. WQS models also indicates that unhealthy lifestyle (OR = 2.77; 95% CI: 2.65-2.89; P < 0.01) and physiological factors (OR = 3.27; 95% CI: 3.06-3.50; P < 0.01) substantially increased risk of HST. Path analysis revealed that healthspan was positively correlated with biomarker (r = 0.03; P < 0.01), sleep behavior (r = 0.14; P < 0.01), and lifestyle (r = 0.16; P < 0.01), but negatively correlated with mental health (r = -0.13; P < 0.01).

conclusionLifestyle-related factors interact with physiological factors through multiple pathways, influencing the risk of a shortened healthspan.

Indexed as

Life StyleSleepAdultAgedBiomarkersChronic DiseaseFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited KingdomBiomarkersHealthspanLifestyle-related factorsPhysiological factorsStructural equation modeling

Identifiers

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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.