Evidence map›Paper›PMID 41120824›Full record

ArticleJournal of the American Heart Association2025

Occupational and Nonoccupational Physical Activity and Their Association With All-Cause, Cardiovascular, and Cancer Mortality in US Adults: A Prospective Cohort Study from the NHANES 2007 to 2018.

Jinli Mahe, Kai Guo, Liyang Guo, Li Liu, Zhengyu Yang, Ao Xu, Pengyuan Xu, Yujia Huo, Jian Wang, Garon Perceval and 13 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Jinli MaheThe School of Public Health and Preventive Medicine Monash University Melbourne Australia.
Kai GuoInstitute of Health Statistics, School of Public Health, Baotou Medical College Inner Mongolia University of Science &Technology Baotou China.ORCID 0009-0008-6665-8792
Liyang GuoSchool of Public Health China Medical University Shenyang China.
Li LiuData Center Affiliated Hospital of Jiangnan University Wuxi China.
Zhengyu YangThe School of Public Health and Preventive Medicine Monash University Melbourne Australia.ORCID 0000-0001-7291-4475
Ao XuMonash University-Southeast University Joint Research Institute (Suzhou), Southeast University Suzhou China.
Pengyuan XuThe School of Public Health and Preventive Medicine Monash University Melbourne Australia.
Yujia HuoThe School of Public Health and Preventive Medicine Monash University Melbourne Australia.
Jian WangThe School of Public Health and Preventive Medicine Monash University Melbourne Australia.ORCID 0000-0001-9739-3434
Garon PercevalSuzhou Industrial Park Monash Research Institute of Science and Technology Monash University Suzhou China.ORCID 0000-0003-2352-108X
Yang ZhaoThe George Institute for Global Health University of New South Wales Sydney Australia.
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 Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Guannan BaiDepartment of Child Health Care, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou China.ORCID 0000-0003-0619-7580
Aimin XuCollege of Big Data and Software Engineering, Zhejiang Wanli University Ningbo China.
Chaopin DuDepartment of Neurology Nantong Third Hospital Affiliated to Nantong University Nantong Jiangsu China.ORCID 0009-0005-8697-1514
Feng ShiDepartment of Surgery Civil Aviation General Hospital Beijing China.ORCID 0009-0000-6914-0827
Hanbin CuiDepartment of Cardiovascular Medicine First Affiliated Hospital, Ningbo University Ningbo China.ORCID 0000-0002-0835-1134
Shengfeng WangSchool of Public Health Peking University Beijing China.ORCID 0000-0001-9397-0409
Zhihui LiTsinghua Vanke School of Public Health Beijing China.ORCID 0000-0001-5356-932X
Liang WangDepartment of Public Health, College of Health Professions Marshall University Huntington WV.
Lei ZhangCentral Clinical School, Faculty of Medicine, Nursing and Health Sciences Monash University Melbourne Australia.ORCID 0000-0003-2343-084X
Lin ZhangThe School of Public Health and Preventive Medicine Monash University Melbourne Australia.ORCID 0000-0002-2064-8440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt remains unclear whether achieving the physical activity guidelines through occupational activity alone, nonoccupational activity alone, or combined occupational and nonoccupational activity has different health consequences.

methodsAdults aged 18 years or older in the NHANES (National Health and Nutrition Examination Survey) from 2007 to 2018 were prospectively observed. Mortality data were acquired from the National Death Index through December 31, 2019. Time of self-reported occupational and nonoccupational activity was calculated. All-cause mortality was the primary outcome, with cardiovascular and cancer mortality as secondary outcomes. Cox proportional hazards models were used to analyze the association of occupational and nonoccupational activity with mortality.

resultsDuring a median follow-up of 6.92 years, 23 752 participants were included in our analysis, with 1367 deaths recorded, including 367 cardiovascular and 328 cancer deaths. Compared with inactive participants, those achieving recommended activity levels through occupational activity alone (hazard ratio [HR], 0.75 [95% CI, 0.60-0.94]), nonoccupational activity alone (HR, 0.58, [95% CI, 0.47-0.71]), or combined activity (HR, 0.43 [95% CI, 0.33-0.56]) had lower all-cause mortality. Additionally, those achieving recommended activity levels through nonoccupational activity alone (HR, 0.51 [95% CI, 0.36-0.71]) or combined activity (HR, 0.32 [95% CI, 0.20-0.57]) had lower cardiovascular mortality. However, occupational activity alone (HR, 0.89 [95% CI, 0.61-1.29]), nonoccupational activity alone (HR, 0.98 [95% CI, 0.66-1.46]), and combined activity (HR, 0.65 [95% CI, 0.38-1.11]) were not associated with cancer mortality.

conclusionAchieving recommended activity levels through any domain was associated with lower all-cause mortality. Nonoccupational activity alone or combined activity was associated with lower cardiovascular mortality. Participants in occupational activity alone may benefit more if they also achieve recommended activity levels through nonoccupational activity.

Indexed as

Cardiovascular DiseasesExerciseNeoplasmsOccupationsAdultAgedCause of DeathFemaleHumansMaleMiddle AgedNutrition SurveysProspective StudiesRisk AssessmentRisk FactorsTime Factorsmortalitynonoccupationaloccupationalphysical activity

Identifiers

PMID41120824
PMCPMC12684500

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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.