Evidence map›Paper›PMID 40432216›Full record

ArticleJournal of biomedical research2025

A healthy lifestyle pattern and mortality risk in patients of type 2 diabetes mellitus: a prospective cohort study in China.

Hao Yu, Xinyi Liu, Xueni Cheng, Xikang Fan, Yuefan Shen, Ke Liu, Yanan Wan, Jian Su, Yu Qin, Zhongming Sun and 5 more

Abstract read
In one paragraph

Article in Journal of biomedical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

15 authors.

Hao YuDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
Xinyi LiuDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Xueni ChengDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Xikang FanDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
Yuefan ShenDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Ke LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China.
Yanan WanDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
Jian SuDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
Yu QinDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
Zhongming SunDepartment of Chronic Disease Prevention and Control, Huai'an City Center for Disease Control and Prevention, Huai'an, Jiangsu 223001, China.
Yan LuDepartment of Chronic Disease Prevention and Control, Suzhou City Center for Disease Control and Prevention, Suzhou, Jiangsu 215003, China.
Shujun GuDepartment of Chronic Disease Prevention and Control, Changshu City Center for Disease Control and Prevention, Changshu, Jiangsu 215500, China.
Chong ShenDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Dong HangDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Jinyi ZhouDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the association of a healthy lifestyle pattern with mortality risk among patients with type 2 diabetes mellitus (T2DM). Data were derived from a prospective cohort enrolling 13,776 Chinese patients with T2DM. A healthy lifestyle pattern was constructed based on six lifestyle factors, including smoking, alcohol consumption, dietary habit, physical activity, sedentary time, and sleep duration. Multivariate Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality. During a median follow-up of 9.0 years, 2,497 deaths were recorded. Compared to T2DM patients with the lifestyle pattern scoring 0-2, those scoring 5-6 had a 40% lower risk for all-cause mortality (HR = 0.60, 95% CI: 0.52-0.69), 33% lower risk for CVD mortality (HR = 0.67, 95% CI: 0.52-0.69), and 25% lower risk for cancer mortality (HR = 0.75, 95% CI: 0.58-0.97). In addition, we found that the association between the lifestyle pattern and all-cause mortality risk was stronger in females than in males (

Indexed as

Healthy lifestyleMortalityProspective cohort studyType 2 diabetes mellitus

Identifiers

PMID40432216
PMCPMC12683505

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.