Evidence map›Paper›PMID 39026309›Full record

ArticleCardiovascular diabetology2024

Lifestyle factors and their relative contributions to longitudinal progression of cardio-renal-metabolic multimorbidity: a prospective cohort study.

Ning Zhang, Xiang Liu, Lele Wang, Yuan Zhang, Yi Xiang, Jiajie Cai, Hao Xu, Xiong Xiao, Xing Zhao

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

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  15. Experiences of Nature Through Immersive Virtual Reality Among People with Type 2 Diabetes Mellitus.International journal of environmental research and public health · 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

9 authors.

Ning Zhang *West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Xiang Liu *West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Lele WangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Yuan ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Yi XiangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Jiajie CaiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Hao XuState Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Chinese Academy of Medical Sciences , Sichuan University, Chengdu, 610041, China.
Xiong XiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China. xiaoxiong.scu@scu.edu.cn.
Xing ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.

Funding

National Natural Science Foundation of China 82273740Sichuan Science and Technology Program 2024NSFSC0552
6 · The paper itself

Abstract

backgroundThe role of lifestyle factors and their relative contributions to the development and mortality of cardio-renal-metabolic multimorbidity (CRMM) remains unclear.

methodsA study was conducted with 357,554 UK Biobank participants. CRMM was defined as the coexistence of two or three cardio-renal-metabolic diseases (CRMDs), including cardiovascular disease (CVD), type 2 diabetes (T2D) and chronic kidney disease (CKD). The prospective study examined the associations of individual and combined lifestyle scores (diet, alcohol consumption, smoking, physical activity, sedentary behavior, sleep duration and social connection) with longitudinal progression from healthy to first cardio-renal-metabolic disease (FCRMD), then to CRMM, and ultimately to death, using a multistate model. Subsequently, quantile G-computation was employed to assess the relative contribution of each lifestyle factor.

resultsDuring a median follow-up of 13.62 years, lifestyle played crucial role in all transitions from healthy to FCRMD, then to CRMM, and ultimately to death. The hazard ratios (95% CIs) per score increase were 0.91 (0.90, 0.91) and 0.90 (0.89, 0.91) for healthy to FCRMD, and for FCRMD to CRMM, and 0.84 (0.83, 0.86), 0.87 (0.86, 0.89), and 0.90 (0.88, 0.93) for mortality risk from healthy, FCRMD, and CRMM, respectively. Among the seven factors, smoking status contributed to high proportions for the whole disease progression, accounting for 19.88-38.10%. High-risk diet contributed the largest proportion to the risk of transition from FCRMD to CRMM, with 22.53%. Less-frequent social connection contributed the largest proportion to the risk of transition from FCRMD to death, with 28.81%. When we further consider the disease-specific transitions, we find that lifestyle scores had slightly stronger associations with development to T2D than to CVD or CKD.

conclusionsOur study indicates that a healthy lifestyle may have a protective effect throughout the longitudinal progression of CRMM, informing more effective management and treatment. Smoking status, diet, and social connection played pivotal roles in specific disease transitions.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Disease ProgressionLife StyleMultimorbidityRenal Insufficiency, ChronicAdultAgedAlcohol DrinkingDatabases, FactualExerciseFemaleHumansLongitudinal StudiesMaleMiddle AgedCardiovascular diseasesChronic kidney diseaseDiabetesLifestyleMultimorbidity

Identifiers

PMID39026309
PMCPMC11264843

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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.