| Literature DB >> 35206358 |
Jihoon Kim1, Ryoko Mizushima2, Kotaro Nishida3, Masahiro Morimoto3, Yoshio Nakata4.
Abstract
Office workers spend up to two-thirds of their working hours sitting and are less physically active than other occupational groups. It is necessary to develop an effective approach to promote physical activity among office workers. We conducted a focus group interview with seven Japanese office workers to investigate the current status (topic 1) of, and their opinions on (topic 2), physical activity promotion programs in their workplace. Data were analyzed using qualitative data analysis. We classified the data from topic 1 into individual, socio-cultural, physical, and organizational environments. Most participants indicated that they spent a lot of time sitting and needed programs for a wide range of corresponding employee demands. We classified the data from topic 2 into capability, opportunity, and motivation. Most participants indicated that they wanted evidence-based information, a standing desk, and a conducive workplace environment to enhance physical activity. Thus, we proposed a comprehensive and multi-component approach comprising individual (information delivery), socio-cultural environment (team building, supportive atmosphere), physical environment (standing desk, use of poster), and organizational (incentive, encouraging message from an executive, workplace policy) strategies. Future studies should evaluate the effectiveness of this proposal.Entities:
Keywords: COM-B model; Japan; behavioral research; exercise; health promotion; social-ecological model; workplace
Mesh:
Year: 2022 PMID: 35206358 PMCID: PMC8871693 DOI: 10.3390/ijerph19042172
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Participant characteristics.
| Variables | Participants ( | ||||||
|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | |
| Job position | RG | RG | RG | RG | RG | MG | MG |
| Sex | Male | Male | Female | Male | Female | Male | Male |
| Age (years) | 57 | 62 | 39 | 48 | 42 | 47 | 53 |
| BMI (kg/m2) | 28.0 | 22.7 | 21.4 | 24.6 | 20.2 | 28.7 | 21.1 |
| Education level | UG | UG | UG | UG | UG | UG | UG |
| Continuous years of service | 39 | 2 | 10 | 7 | 9 | 23 | 31 |
| Self-reported physical activity | |||||||
| Overall MVPA (min/week) | 270 | 1080 | 365 | 410 | 335 | 210 | 180 |
| Occupational MVPA (min/week) | 0 | 0 | 50 | 0 | 10 | 0 | 0 |
| Transport-related MVPA (min/week) | 270 | 420 | 165 | 50 | 175 | 150 | 120 |
| Leisure-time MVPA (min/week) | 0 | 660 | 150 | 360 | 150 | 60 | 60 |
| Sitting time (min/day) | 720 | 300 | 300 | 540 | 540 | 510 | 600 |
Note: BMI, body mass index; MVPA, moderate to vigorous physical activity; MG, manager; RG, regular worker; UG, undergraduate degree.
Mapped results of topic 1 based on SEM.
| Factors | Categories | Codes |
|---|---|---|
| Individual | Demographic | Age |
| Biological | Biological health | |
| Psychological | Stress | |
| Personality | ||
| Habit | ||
| Attitude | ||
| Beliefs | ||
| Knowledge | ||
| Experience | ||
| Preference | ||
| Socio-cultural environment | Social networks | Family |
| Peers | ||
| Colleagues | ||
| Physical environment | Natural environment | COVID-19 |
| Weather | ||
| Built environment | Work environment | |
| Environment around workplace | ||
| Residential environment | ||
| Commuting | ||
| Organizational | Policy | Policy |
| Organizational culture | Work–life balance |
Note: SEM, social-ecological model [22,23].
Mapped results of topic 2 based on COM-B.
| Factors | Categories | Codes |
|---|---|---|
| Capability | Psychological | Education |
| Opportunity | Physical | Environmental restructuring |
| Enablement | ||
| Social | Environmental restructuring | |
| Restriction | ||
| Motivation | Reflective | Persuasion |
| Incentivization | ||
| Coercion | ||
| Automatic | Incentivization | |
| Modelling |
Figure 1Comprehensive and multi-component approach based on the focus group interview data.