Evidence map›Paper›PMID 39267148›Full record

ArticleDiabetology & metabolic syndrome2024

Association between weekend warrior physical activity pattern and all-cause mortality among adults living with type 2 diabetes: a prospective cohort study from NHANES 2007 to 2018.

Jinli Mahe, Ao Xu, Li Liu, Lei Hua, Huiming Tu, Yujia Huo, Weiyuan Huang, Xinru Liu, Jian Wang, Jinhao Tang and 19 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Article
  5. 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

29 authors.

Jinli MaheThe School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Ao XuMonash University-Southeast University Joint Research Institute (Suzhou), Southeast University, Suzhou, China.
Li LiuData Centre, Affiliated Hospital of Jiangnan University, Wuxi, China.
Lei HuaData Centre, Affiliated Hospital of Jiangnan University, Wuxi, China.
Huiming TuDepartment of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Yujia HuoThe School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Weiyuan HuangThe School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Xinru LiuThe School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Jian WangThe School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Jinhao TangInternational College, Krirk University, Bangkok, Thailand.
Yang ZhaoThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Zhining LiuAnhui Medical University Affiliated Hospital, Hefei, China.
Qiaojun HongAnhui No.2 Provincial People's Hospital, Hefei, China.
Rong YeThe School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Panpan HuAnhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.
Peng JiaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, China.
Junjie HuangThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hongkong, China.
Xiangyi KongDepartment of Breast Surgical Oncology, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zongyuan GeFaculty of Engineering, Monash University, Melbourne, Australia.
Aimin XuCollege of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China.
Longfei WuCentre for Genetic Epidemiology and Genomics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China.
Chaopin DuDepartment of Neurology, Nantong Third Hospital Affiliated to Nantong University, Nantong, China.
Feng ShiDepartment of Surgery, Civil Aviation General Hospital, Shanghai, China.
Hanbin CuiDepartment of Cardiovascular Medicine, First Affiliated Hospital, Ningbo University, Ningbo, China.
Shengfeng WangSchool of Public Health, Peking University, Beijing, China.
Zhihui LiTsinghua Vanke School of Public Health, Beijing, China.
Liang WangDepartment of Public Health, Marshall University, Huntington, WV, USA.
Lei ZhangCentral Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. lei.zhang1@monash.edu.
Lin ZhangThe School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. lin.zhang2@monash.edu.

Funding

Taihu Light Technology Research Project (Medical and Health) Y20232001the Wuxi Municipal Health Commission Research Project Plan Z202309Zhejiang Provincial Natural Science Foundation of China LTGY23H240002
6 · The paper itself

Abstract

backgroundIt is uncertain whether the weekend warrior pattern is associated with all-cause mortality among adults living with type 2 diabetes. This study explored how the 'weekend warrior' physical activity (PA) pattern was associated with all-cause mortality among adults living with type 2 diabetes.

methodsThis prospective cohort study investigated US adults living with type 2 diabetes in the National Health and Nutrition Examination Survey (NHANES). Mortality data was linked to the National Death Index. Based on self-reported leisure-time and occupational moderate-to-vigorous PA (MVPA), participants were categorized into 3 groups: physically inactive (< 150 min/week of MVPA), weekend warrior (≥ 150 min/week of MVPA in 1 or 2 sessions), and physically active (≥ 150 min/week of MVPA in 3 or more sessions).

resultsA total of 6067 participants living with type 2 diabetes [mean (SD) age, 61.4 (13.5) years; 48.0% females] were followed for a median of 6.1 years, during which 1206 deaths were recorded. Of leisure-time and occupational activity, compared with inactive individuals, hazard ratios (HRs) for all-cause mortality were 0.49 (95% CI 0.26-0.91) and 0.57 (95% CI 0.38-0.85) for weekend warrior individuals, and 0.55 (95% CI 0.45-0.67) and 0.64 (95% CI 0.53-0.76) for regularly active individuals, respectively. However, when compared leisure-time and occupational weekend warrior with regularly active participants, the HRs were 0.82 (95% CI 0.42-1.61) and 1.00 (95% CI 0.64-1.56) for all-cause mortality, respectively.

conclusionsWeekend warrior PA pattern may have similar effects on lowering all-cause mortality as regularly active pattern among adults living with type 2 diabetes, regardless of leisure-time or occupational activity. Therefore, weekend warrior PA pattern may be sufficient to reduce all-cause mortality for adults living with type 2 diabetes.

Indexed as

All-cause mortalityPhysical activityRegularly activeType 2 diabetesWeekend warrior

Identifiers

PMID39267148
PMCPMC11391736

What Socratic holds

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LicenceCC BY
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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 Socratic graph.