scholarly journals Work-related factors predict changes in physical activity among nurses participating in a web-based worksite intervention: A randomized controlled trial

BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jennifer Brunet ◽  
Melissa Black ◽  
Heather E. Tulloch ◽  
Andrew L. Pipe ◽  
Robert D. Reid ◽  
...  

Abstract Background Despite the numerous benefits associated with physical activity (PA), most nurses are not active enough and few interventions have been developed to promote PA among nurses. A secondary analysis of raw data from a single-centre, three-arm parallel-group randomized controlled trial was conducted to assess whether work-related characteristics and general mood states predict changes in total weekly moderate-to-vigorous intensity PA (MVPA) and average daily step-count among nurses participating in a 6-week web-based worksite intervention. Methods Seventy nurses (meanage: 46.1 ± 11.2 years) were randomized to an individual-, friend-, or team-based PA challenge. Participants completed questionnaires pre- and post-intervention assessing work-related characteristics (i.e., shift schedule and length, number of hours worked per week, work role) and general mood states (i.e., tension, depression, anger, confusion, fatigue, vigour). Participants received a PA monitor to wear before and during the 6-week PA challenge, which was used to assess total weekly MVPA minutes and average daily step-count. Data were analyzed descriptively and using multilevel modeling for repeated measures. Results Change in total weekly MVPA minutes, but not change in average daily step-count, was predicted by shift schedule (rotating vs. fixed) by time (estimate = − 17.43, SE = 6.18, p = .006), and work role (clinical-only vs. other) by time (estimate = 18.98, SE = 6.51, p = .005). General mood states did not predict change in MVPA or change in average daily step-count. Conclusions Given that nurses who work rotating shifts and perform clinical work showed smaller improvements in MVPA, it may be necessary to consider work-related factors/barriers (e.g., time constraints, fatigue) and collaborate with nurses when designing and implementing MVPA interventions in the workplace. Trial registration ClinicalTrials.gov: NCT04524572. August 24, 2020. This trial was registered retrospectively. This study adheres to the CONSORT 2010 statement guidelines.

2018 ◽  
Vol 33 (11) ◽  
pp. 3422-3428 ◽  
Author(s):  
Neill Van der Walt ◽  
Lucy J. Salmon ◽  
Benjamin Gooden ◽  
Matthew C. Lyons ◽  
Michael O'Sullivan ◽  
...  

Author(s):  
Rasmus Tolstrup Larsen ◽  
Christoffer Bruun Korfitsen ◽  
Camilla Keller ◽  
Jan Christensen ◽  
Henning Boje Andersen ◽  
...  

Abstract Background One in four older adults in Denmark and almost half of the very old above 75 do not meet the World Health Organization’s recommendations for a minimum of physical activity (PA). A cost-efficient and effective way to increase focus on and motivation for daily walking might be to use Physical Activity Monitors (PAMs) in combination with behavioural change intervention. Thus, the objective of this randomized controlled study was to investigate the effect of Motivational Interviewing (MI) as an add-on intervention to a PAM-based intervention measured in community-dwelling older adults. Methods This two-arm parallel group randomized controlled effectiveness trial compared a 12-weeks PAM-based intervention with additional MI (PAM+MI group) with a PAM-based intervention alone (PAM group). The primary outcome, average daily step count, was analysed with a linear regression model, adjusted for sex and baseline daily step count. Following the intention-to-treat principle, multiple imputation based on baseline step count, sex and age was performed. Results In total, 38 participants were randomized to the PAM intervention and 32 to the PAM+MI intervention arm. During the intervention period, PAM+MI participants walked on average 909 more steps per day than PAM participants, however insignificant (95%CI: − 71; 1889) and reported 2.3 points less on the UCLA Loneliness Scale (95%CI: − 4.5; − 1.24). Conclusion The use of MI, in addition to a PAM-based intervention among older adults in PA promoting interventions hold a potential clinically relevant effect on physical activity and should thus be investigated further with adequately powered RCTs. Trial registration This study was pre-registered in the clinicaltrials.gov database with identifier: NCT03906162.


2017 ◽  
Vol 6 (3) ◽  
pp. 42-49 ◽  
Author(s):  
Quinn R. Pack ◽  
Erin A. Woodbury ◽  
Samuel Headley ◽  
Paul Visintainer ◽  
Richard Engelman ◽  
...  

Background: One potential strategy to increasing physical activity after surgery is to use an ambulation orderly (AO), a dedicated employee who assures frequent patient walking. However, the impact of an AO on physical and functional recovery from surgery is unknown. Methods: We randomized postoperative cardiac surgical patients to receive either the AO or usual care. We measured average daily step count, changes in 6-min walk test (6MWT) distance, and changes in functional independence (Barthel Index). Our primary goal was to test protocols, measure variability in activity, and establish effect sizes. Results: Thirty-six patients were randomized (18 per group, 45% bypass surgery). Overall, patients exhibited significant recovery of physical function from baseline to discharge in the 6MWT (from 83 to 172 meters, p < 0.001) and showed improvement in independent function (Barthel Index, 67 to 87, p < 0.001). Moreover, each additional barrier to ambulation (supplemental oxygen, intravenous poles/fluid, walkers, urinary catheters, and chest tubes) reduced average daily step count by 330 steps/barrier, p = 0.04. However, the AO intervention resulted in only a small difference in average daily step counts (2718 versus 2541 steps/d, Cohen's d = 0.16, 608 patients needed for larger trial), which we attributed to several trial factors that likely weakened the AO intervention. Conclusion: In this pilot study, we observed significant in-hospital physical and functional recovery from surgery, but the addition of an AO made only marginal differences in daily step counts. Future studies should consider stepped-wedge or cluster trial designs to increase intervention effectiveness. Clinical Trials Registration: Clinicaltrials.gov unique identifier: NCT02375282.


2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Shuji Inada ◽  
Kazuhiro Yoshiuchi ◽  
Sungjin Park ◽  
Yukitoshi Aoyagi

Abstract Background Japan, like many developed countries, now faces fiscal problems from the escalating health-care expenditures associated with an aging population. Mental health problems such as depression contribute as much to these growing demands as physical disease, and measures to prevent depression are important to controlling costs. There are few longitudinal studies examining the relation between objectively measured physical activity and depressive symptoms. Therefore, the aims of our study were to explore the patterns of change of physical activity in older Japanese adults for 5 years through the use of trajectory analysis and to examine the relation between physical activity trajectories and depressive mood states. Main body Ninety-two male and 99 female volunteers aged 65–85 years were asked to equip themselves with an electronic accelerometer with a 60-day storage capacity for at least 5 years. The parameters calculated each July for the 5 years were the average daily step count and the average daily duration of activity > 3 METs (moderate to vigorous physical activity: MVPA). Hospital Anxiety and Depression Scale (HADS) assessed corresponding mood states (HADS-A and HADS-D). Trajectories of the accelerometer data were analyzed and fifth-year HADS-D and HADS-A scores were compared among trajectory groups using an analysis of covariance (ANCOVA) that controlled for baseline scores and for baseline scores and age. Six and five distinct trajectories were identified for daily step count and for daily duration of MVPA, respectively. Using ANCOVA controlling for baseline scores, HADS-D scores differed significantly among trajectory groups classed by daily duration of MVPA (p = 0.04), and Tukey’s multiple comparison tests showed significant differences between group 2, whose pattern was stable with the middle duration of MVPA, and group 1, whose pattern was stable with the lowest duration of MVPA (p = 0.02), while the results were not significant controlling for both baseline scores and age. Conclusions Older people with less MVPA continued to do less MVPA over the 5 years of study, which may be related to a future more depressive mood. Further clinical studies will be necessary to clarify these findings.


2019 ◽  
Vol 34 (1) ◽  
pp. 63-66
Author(s):  
Ronald C. Plotnikoff ◽  
Fiona G. Stacey ◽  
Anna K. Jansson ◽  
Benjamin Ewald ◽  
Natalie A. Johnson ◽  
...  

Purpose: To explore whether there was a difference in objectively measured physical activity and study participation between people who received their preferred study group allocation (matched) and those who did not receive their preferred study group (mismatched). Design: Secondary data from the NewCOACH randomized controlled trial. Setting: Insufficiently active patients in the primary care settings in Sydney and Newcastle, Australia. Participants: One hundred seventy-two adults aged 20 to 81 years. Intervention: Participants indicated their intervention preference at baseline for (1) five face-to-face visits with an exercise specialist, (2) one face-to-face visit and 4 telephone follow-ups with an exercise specialist, (3) written material, or (4) slight-to-no preference. Participants were then allocated to an intervention group and categorized as either “matched” or “mismatched” based on their indications. Participants who reported a slight-to-no preference was categorized as “matched.” Measures: Daily step count as measured by pedometers and study participation. Analysis: Mean differences between groups in daily step count at 3 and 12 months (multiple linear regression models) and study participation at baseline, 3 months, and 12 months (χ2 tests). Results: Preference for an intervention group prior to randomization did not significantly (all P’s > .05 using 95% confidence interval) impact step counts (differences of <600 steps/day between groups) or study participation. Conclusion: Future research should continue to address whether the strength of preferences influence study outcome and participation and whether the study preferences change over time.


2021 ◽  
Author(s):  
Aleksandrina Skvortsova ◽  
Talia Cohen Rodrigues ◽  
David de Buisonjé ◽  
Tobias Kowatsch ◽  
Prabhakaran Santhanam ◽  
...  

BACKGROUND Electronic Health (eHealth) interventions have a potential to increase physical activity of their users. However, their effectiveness varies and they often have only short-lasting effects. One possible way to enhance their effectiveness, is increasing positive outcome expectations of the users by giving them positive suggestions regarding the effectiveness of the intervention. It has been shown that when individuals have positive expectations regarding various types of interventions, they tend to benefit from these interventions more. OBJECTIVE The main objective of this web-based study was to investigate whether positive suggestions can change the expectations of the participants regarding the effectiveness of a smartphone physical activity intervention and subsequently enhance the number of steps participants take during the intervention. Additionally, we studied if suggestions affect perceived app effectiveness, engagement with the app, self-reported vitality and fatigue of the participants. METHODS A 21-day physical fully automated activity intervention aimed at helping participants to walk more steps. The intervention was delivered via a smartphone-based application (app), that deliver specific tasks to participants (e.g., setting activity goals or looking for social support) and recorded daily step count of the participants. Participants were randomized to either a positive suggestions group (n = 69) or a control group (n = 64). Positive suggestions emphasizing the effectiveness of the intervention were implemented in an online flyer sent to the participants before the intervention. Suggestions were repeated on day 8 and 15 of the intervention via the app. RESULTS Participants significantly increased their daily step count from baseline compared to 21 days of the intervention (t (107) = -8.62, p < .001) regardless of the suggestions. Participants in the positive suggestions group had more positive expectations regarding the app (B= -1.61, SE= 0.47, p < 0.001) and higher expected engagement with the app (B= 3.80, SE= 0.63, p < .001) compared to the participants in the control group. No effect of suggestions on the step count (B = -22.05, SE = 334.90, p = .95), perceived effectiveness of the app (B= 0.78, SE= 0.69, p= 0.26), engagement with the app (B= 0.78, SE= 0.75, p= 0.29), and vitality (B= 0.01, SE= 0.11, p= 0.95) were found. Positive suggestions decreased the fatigue of participants during the three weeks of the intervention (B= 0.11, SE= 0.02, p< 0.001). CONCLUSIONS Even though the suggestions did not affect the number of daily steps, they increased the positive expectations of the participants and decreased their fatigue. These results indicate that adding positive suggestions to eHealth physical activity interventions might be a promising way to influence subjective, but not objective, outcomes of interventions. Future research should focus on finding ways to strengthen the suggestions as they have a potential to boost effectiveness of eHealth interventions. CLINICALTRIAL osf.io/cwjes


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