Dataset Information

[Work-related sedentary behavior].

ABSTRACT:

Background

Sedentary behavior is associated with an increased risk of chronic diseases, such as metabolic syndrome and type 2 diabetes and all-cause mortality. Occupational sitting time contributes to large amounts of daily sedentary behavior, especially in office workers.

Objective

This study investigated the amount of time spent in sedentary behavior during different tasks at work and while commuting of administrative personnel of a university hospital in Germany.

Material and methods

A cross-sectional questionnaire-based study of administrative employees at the University Hospital Regensburg, Germany was carried out to assess work-related sedentary behavior. Descriptive and exploratory statistical analyses were performed.

Results

The study population consisted of 159 participants (54.1% women, 51.6% older than 40 years), which corresponds to a response rate of 26%. The median daily sitting time in the office was 7.0 h (interquartile range, IQR 6.0-7.5 h) and mostly occurred during computer work (57.3%), telephone calls (13.2%) and meetings (11.7%). Median standing time at work was 0.8 h (IQR 0.3-1.4 h). Administrative staff spent a median of 0.7 h (IQR 0.3-1.0 h) per day sedentary while commuting, with 67.3% of respondents commuting by car, motorbike or scooter. The participants were of the opinion that sitting for long uninterrupted periods had negative (69.6%) or relatively negative (29.7%) effects on health.

Conclusion

Administrative staff in hospitals spend large amounts of the daily working time with sedentary behavior. Interventions that enable working both in sitting and standing positions can lead to reduced work-related sitting time and thereby could improve occupational and, in a broader sense, public health.

SUBMITTER: Noscher P

PROVIDER: S-EPMC9829228 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

[Work-related sedentary behavior].

Nöscher Paulus P Weber Andrea A Leitzmann Michael M Grifka Joachim J Jochem Carmen C

Zentralblatt fur Arbeitsmedizin, Arbeitsschutz und Ergonomie 20230109 1

<h4>Background</h4>Sedentary behavior is associated with an increased risk of chronic diseases, such as metabolic syndrome and type 2 diabetes and all-cause mortality. Occupational sitting time contributes to large amounts of daily sedentary behavior, especially in office workers.<h4>Objective</h4>This study investigated the amount of time spent in sedentary behavior during different tasks at work and while commuting of administrative personnel of a university hospital in Germany.<h4>Material an ...[more]

PMID: 36643722

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Project description:BACKGROUND:Electronic health (eHealth) and mobile health (mHealth) approaches to address low physical activity levels, sedentary behavior, and unhealthy diets have received significant research attention. However, attempts to systematically map the entirety of the research field are lacking. This gap can be filled with a bibliometric study, where publication-specific data such as citations, journals, authors, and keywords are used to provide a systematic overview of a specific field. Such analyses will help researchers better position their work. OBJECTIVE:The objective of this review was to use bibliometric data to provide an overview of the eHealth and mHealth research field related to physical activity, sedentary behavior, and diet. METHODS:The Web of Science (WoS) Core Collection was searched to retrieve all existing and highly cited (as defined by WoS) physical activity, sedentary behavior, and diet related eHealth and mHealth research papers published in English between January 1, 2000 and December 31, 2016. Retrieved titles were screened for eligibility, using the abstract and full-text where needed. We described publication trends over time, which included journals, authors, and countries of eligible papers, as well as their keywords and subject categories. Citations of eligible papers were compared with those expected based on published data. Additionally, we described highly-cited papers of the field (ie, top ranked 1%). RESULTS:The search identified 4805 hits, of which 1712 (including 42 highly-cited papers) were included in the analyses. Publication output increased on an average of 26% per year since 2000, with 49.00% (839/1712) of papers being published between 2014 and 2016. Overall and throughout the years, eHealth and mHealth papers related to physical activity, sedentary behavior, and diet received more citations than expected compared with papers in the same WoS subject categories. The Journal of Medical Internet Research published most papers in the field (9.58%, 164/1712). Most papers originated from high-income countries (96.90%, 1659/1717), in particular the United States (48.83%, 836/1712). Most papers were trials and studied physical activity. Beginning in 2013, research on Generation 2 technologies (eg, smartphones, wearables) sharply increased, while research on Generation 1 (eg, text messages) technologies increased at a reduced pace. Reviews accounted for 20 of the 42 highly-cited papers (n=19 systematic reviews). Social media, smartphone apps, and wearable activity trackers used to encourage physical activity, less sedentary behavior, and/or healthy eating were the focus of 14 highly-cited papers. CONCLUSIONS:This study highlighted the rapid growth of the eHealth and mHealth physical activity, sedentary behavior, and diet research field, emphasized the sizeable contribution of research from high-income countries, and pointed to the increased research interest in Generation 2 technologies. It is expected that the field will grow and diversify further and that reviews and research on most recent technologies will continue to strongly impact the field.

Project description:BackgroundEmployees in sedentary occupations tend to spend prolonged hours physically inactive. Physical inactivity is a main factor in the increase in the risks of a wide range of chronic diseases, including obesity, diabetes, hypertension, and heart disease. This has drawn researchers' attention to investigate methods of increasing the level of activity of employees during working hours and in their daily lifestyle.ObjectiveThe objective of this paper is to investigate the effectiveness of using personalized messages that include user information, user goals, daily routine, and the surrounding environment to increase the level of activity among employees. In this study, we hypothesize that sending context-aware motivational messages to workers in sedentary occupations after sitting for 40 minutes can break sedentary behavior and increase daily active time compared to static reminder messages.MethodsA 66-day between-group study using a mixed methods design approach was conducted with employees who are located in Qatar and spend most of their working day sedentary. The 58 participants used 2 different interventions: The control group (n=29, 50%) used a mobile app that only sends a static message after prolonged sitting (MotiFit Lite), and the intervention group (n=29, 50%) used a mobile app that sends context-aware personalized messages to promote physical activity (PA; MotiFit). Both apps log the received messages, the step count before and after the messages are sent, and the user response to the messages to obtain an idea of the impact of the messages. The study received approval from the Qatar Biomedical Research Institute's institutional review board (IRB application #2019-10-037).ResultsThe questionnaires showed satisfaction of the designed apps' subjective quality and perceived impact. The quantitative analysis showed a high level of engagement in the intervention group compared to the control group (P<.001). The results support the original hypothesis that using context-aware motivational messages can increase PA at work compared to static messages (P<.001). However, the analysis showed no significant impact of the message type on the overall activity level during the day (P=.06).ConclusionsContext-aware motivational messages motivate employees to increase their PA in the workplace. However, future research will further develop the analysis to investigate the impact on increasing the overall activity level during the day.

Project description:To identify social ecological correlates of objectively measured workplace sedentary behavior.Participants from 24 worksites - across academic, industrial, and government sectors - wore an activPAL-micro accelerometer for 7-days (Jan-Nov 2016). Work time was segmented using daily logs. Sedentary behavior outcomes included time spent sitting, standing, in light intensity physical activity (LPA, stepping cadence <100 steps/min), and in prolonged sitting bouts (>30 min). Outcomes were standardized to an 8 h work day. Two electronic surveys were completed to derive individual (job type and work engagement), cultural (lunch away from the desk, walking at lunch and face-to-face interaction), physical (personal printer and office type) and organizational (sector) factors. Mixed-model analyses with worksite-level clustering were performed to examine multi-level associations. Secondary analyses examined job type and sector as moderators of these associations. All models were adjusted for age, race/ethnicity and gender.Participants (N = 478; 72% female; age: 45.0 ± 11.3 years; 77.8% non-Hispanic white) wore the activPAL-micro for 90.2 ± 15.5% of the reported workday. Walking at lunch was positively associated with LPA (5.0 ± 0.5 min/8 h, P < 0.001). Regular face-to-face interaction was negatively associated with prolonged sitting (-11.3 ± 4.8 min/8 h, P < 0.05). Individuals in private offices sat more (20.1 ± 9.1 min/8 h, P < 0.05), stood less (-21.5 ± 8.8 min/8 h, P < 0.05), and engaged in more prolonged sitting (40.9 ± 11.2 min/8 h, P < 0.001) than those in public office space. These associations were further modified by job type and sector.Work-specific individual, cultural, physical and organizational factors are associated with workplace sedentary behavior. Associations vary by job type and sector and should be considered in the design of workplace interventions to reduce sedentary behavior.Clinical trial No. NCT02566317 ; ?Registered Sept 22nd 2015.

Dataset Information

[Work-related sedentary behavior].

Background

Objective

Material and methods

Results

Conclusion

Publications

[Work-related sedentary behavior].

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