Evidence map›Paper›PMID 40483398›Full record

ArticleBMC public health2025

Dynamic cross-lagged effects between healthy lifestyles and multimorbidity among middle-aged and older adults in China.

Xuan Zhu, He Ma, Hangjing Zhang, Yuting Zhang, Shangfeng Tang, Juyang Xiong

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

6 authors.

Xuan ZhuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, 430040, People's Republic of China.
He MaSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, 430040, People's Republic of China.
Hangjing ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, 430040, People's Republic of China.
Yuting ZhangMelbourne Institute: Applied Economic & Social Research, The University of Melbourne, Melbourne, VIC, Australia.
Shangfeng TangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, 430040, People's Republic of China.
Juyang XiongSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, 430040, People's Republic of China. xiongjuyang@hust.edu.cn.

Funding

Huazhong University of Science and Technology 2023WKYXZD005National Key Research and Development Program of China 2022YFE0133000National Natural Science Foundation of China 72474077
6 · The paper itself

Abstract

backgroundWhile healthy lifestyles mitigate the risk of multimorbidity (≥ 2 chronic diseases), their temporal dynamics in aging populations, particularly in low- and middle-income countries undergoing rapid demographic structure transition, remain understudied.

methodsUsing longitudinal data (2014-2020) from 6,852 Chinese adults (aged ≥ 45 years) in the China Family Panel Studies, we used the subgroup analysis to investigate high risk groups in the chronic diseases status, employed alluvial diagrams to visualize diseases status transition and random intercept cross-lagged panel model to quantify the lagged effect between healthy lifestyles (sleep, physical exercise, smoking, drinking) and chronic diseases status (without diseases, single, multimorbidity).

resultsCompared to male, urban and middle-aged individuals, female, rural and older adults demonstrated more severe chronic diseases status (P < 0.05). The proportion of people with multimorbidity increased over time, from 9.2% in 2014 to 29.1% in 2020. A total of 37.8% of participants experienced diseases status transition, and more than half of whom progressed to multimorbidity. Disease trajectories disproportionately progressed toward multimorbidity. The direction and size of the cross-lagged effects are dynamic. Healthier lifestyles predicted reduced disease severity from 2014 to 2018 (β

conclusionsOur study demonstrates dynamic cross-lagged effect exists between healthy lifestyles and chronic diseases status in middle-aged and older Chinese. Disease trajectories and lifestyle-disease interplay reveal critical time-sensitive windows for intervention. Early-stage lifestyle promotion could delay progression, whereas later-stage disease management requires system-level strategies addressing urban-rural healthcare disparities and self-efficacy barriers. These findings directly inform China's Healthy Aging 2030 priorities.

Indexed as

Healthy LifestyleMultimorbidityAgedChinaChronic DiseaseFemaleHumansLongitudinal StudiesMaleMiddle AgedDynamic cross-lagged effectsHealthy agingHealthy lifestylesMultimorbidityProactive health

Identifiers

PMID40483398
PMCPMC12144725

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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.