Evidence map›Paper›PMID 42786442›Full record

ArticleBMC public health2026

Associations between physical activity levels and socioeconomic and occupational factors among a large workforce population: insights from an employee health cohort study.

Parisa Nejati, Lida Nejati, Jamileh Abolghasemi, Seyed Abbas Motevalian

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Parisa NejatiDepartment of Sports and Exercise Medicine, Rasool Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Lida NejatiOffice of Executive Dean for Research, Miller School of Medicine, University of Miami, Florida, USA.
Jamileh AbolghasemiDepartment of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Seyed Abbas MotevalianPreventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran. motevalian.a@iums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical inactivity is a growing concern among working populations, with implications for health and productivity. Unlike most previous studies, this research draws on large-scale cohort data from Iranian employees to examine the associations with socioeconomic and occupational factors on physical activity, addressing an evidence gap in workforce health inequalities.

methodsThis cross-sectional analysis used baseline data collected between 2017 and 2020 from the Employee Health Cohort Study of Iran (EHCSIR), a 15-year longitudinal project to identify risk factors of non-communicable diseases. EHCSIR participants are mainly employees affiliated with the Iran University of Medical Sciences and the Ministry of Health and Medical Education. Of the 4,886 EHCSIR participants, 3,997 with complete physical activity and sociodemographic data were included in the analysis. The data included employee age, gender, marital status, economic status (wealth index), education level, job, and workplace, calculated via principal component analysis (PCA). Physical activity level (i.e., mild, moderate, and vigorous) was measured using the short form of the International Physical Activity Questionnaire (IPAQ) in MET-minutes per week. It was also categorized according to the World Health Organization (WHO) guidelines, which recommend at least 150 min of moderate activity, 75 min of vigorous activity, or a total of 600 MET-minutes per week for adults. Accordingly, the employees were classified as physically inactive or adequately / highly active. The data were analyzed using multivariate logistic regression models together with fixed-effects and random-effects models.

resultsNearly 64% of employees in Iran did not meet the WHO's recommendations for physical activity. The mean total physical activity level was 599.2 and 941.8 MET-minutes per week in female and male employees, respectively. The highest percentage of inactive employees was observed in 45-54-year-olds (66.3%), females (67%), married employees (64.7%), Q4 of the wealth index (70.1%), associates (66.2%), office workers (94.8%), and employees working in health centers (67.1%). Physical activity levels varied significantly across age, gender, job type, workplace, and socioeconomic status. Employees in sedentary roles and higher-SES groups were less likely to be physically active, while younger, male, and hospital-based staff showed higher activity levels.

conclusionThese findings reveal structural inequalities in workplace physical activity and underscore the need for targeted health promotion strategies. Several factors may contribute to insufficient physical activity among the participants, including low awareness about the benefits of physical activity, lack of workplace exercise facilities, the high cost of attending fitness classes and other related barriers. Interventions tailored to occupational context-such as PA-friendly environments and flexible scheduling-may help reduce inactivity and improve employee well-being.

Indexed as

ExerciseOccupational HealthOccupationsAdultCohort StudiesCross-Sectional StudiesFemaleHumansIranLongitudinal StudiesMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsDemographic statusEmployeesIPAQOccupational statusPhysical activityPhysical inactivitySocio-economic status

Identifiers

PMID42786442
PMCPMC13602512

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.