Evaluation of blue and white collar employees in terms of physical activity and physical fitness (university example).
Background: Due to the long hours spent in business life, the nature of the job can affect the physical activity and physical fitness level. Although some studies have been conducted showing that university employees have low levels of physical activity due to their jobs, there is no study comparing...
| Publicado en: | Work Vol. 83; no. 2; pp. 544 - 551 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jan2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191330554&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191330554 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: Jan2026 vid: 83 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 191330554 188043426 191330554 191330554 10.1177/10519815251377967 191330554 ppf: 544 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Evaluation of blue and white collar employees in terms of physical activity and physical fitness (university example). aug: au: Sönmez, Mehmet Eymir, Musa Deniz, Gülnihal Akaras, Esedullah affil: Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Erzurum Technical University, Yakutiye- Erzurum, Türkiye sug: subj: Colleges and Universities Blue Collar Workers White Collar Workers Physical Activity Evaluation Physical Fitness Evaluation Human Quantitative Studies Comparative Studies Descriptive Statistics Data Analysis Software Chi Square Test T-Tests Linear Regression Mann-Whitney U Test Balance, Postural Physical Endurance Grip Strength Questionnaires ab: Background: Due to the long hours spent in business life, the nature of the job can affect the physical activity and physical fitness level. Although some studies have been conducted showing that university employees have low levels of physical activity due to their jobs, there is no study comparing blue- and white-collar university employees whose job descriptions are more similar than in other fields. Objective: The aim of this study was to evaluate the weekly physical activity levels and general physical fitness levels of blue-collar and white-collar employees working in a similar field in the university environment. Methods: The study was a quantitative study with two groups. The study was carried out with the participation of academic, administrative and technical service personnel working throughout the university. White-collar employees consisted of academic and administrative staff (n:50) and blue-collar employees consisted of technical service personnel (n:50). In the study, physical activity and physical fitness levels were assessed. Results: As a result of the comparison of groups, statistically significant differences were found in favour of the blue-collar group for all physical activity and physical fitness parameters. Linear regression analysis showed that physical activity level was effective on dynamic balance and physical endurance, Conclusion: Blue-collar university employees were better in terms of physical activity and physical fitness. White-collar university employees do not expend too much physical energy due to their job descriptions, while blue-collar employees are more physically active. Therefore, it seems that some regulations are needed to make white-collar university employees more active. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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