Drivers of productivity: Being physically active increases yet sedentary bouts and lack of sleep decrease work ability

Why do people sit? A framework for targeted behavior change

To improve health and wellbeing, it is crucial that people regularly interrupt their sitting. In this paper, we propose a framework for examining and changing sitting behavior that addresses two key steps in the process towards developing effective interventions. First, we suggest that research should move away from its current focus on sitting time, which is an outcome of behavior. Rather, researchers should focus on stand-to-sit and sit-to-stand transitions, which are discrete units of behavior. Second, drawing on goal hierarchy models, we suggest that people rarely engage in stand-to-sit and sit-to-stand transitions for the purpose of being in a sitting or standing position; rather, we suggest that these transitions are means to higher-order goals (e.g., to complete work tasks, to watch television, to eat dinner). To improve adherence to and effectiveness of sitting behavior interventions, intervention designers should aim to increase the frequency of sit-to-stand (and stand-to-sit) transitions. To achieve this aim, intervention designers should capitalize on the higher-order goals that are typically served by these transitions. We suggest four concrete intervention strategies to increase sit-to-stand transitions in congruence with people's everyday goals. We also describe the implications of our framework for theory and methods in sitting behavior research.

Insights on physical behavior while working from home: An ecological momentary assessment study

Ever since the COVID-19 pandemic, working from home (WFH) has emerged as a common alternative work environment, but the possible influence on daily physical behavior (PB) (i.e., physical activity (PA), sedentary behavior (SB)) remains unclear. This study aimed to examine daily associations between PB and the work environment (i.e., WFH, working at the office (WAO)), as well as to explore and identify patterns of PB within each work environment. An observational study using a dual-accelerometer system to continuously assess PB for at least 5 days was conducted. The sample consisted of 55 participants providing 276 days of assessment. Additional demographic, contextual, and psychological variables were measured via baseline questionnaire and several smartphone prompts per day. To analyze the effects of the work environment on PB, multilevel analyses were conducted. For the identification of patterns within each work environment, latent class trajectory modelling was applied. Associations between the work environment and various PA parameters were found, indicating that WFH has a negative effect on MVPA time, steps, and physical activity intensity (MET), but a positive effect on short PA bouts (≤5 min). No associations between the work environment and any SB parameter (i.e., SB time, SB breaks, SB bouts) were found. Latent class trajectory modelling revealed three MVPA patterns for days WFH, and two patterns for days WAO. Given the growing prevalence of WFH and the positive health effects associated with MVPA, daily-tailored solutions to enhance MPVA while WFH are urgently needed.

Exploring Work-Time Affective States Through Ecological Momentary Assessment in an Office-Based Intervention to Reduce Occupational Sitting

BACKGROUND

The aim of this study was to examine whether a low-cost standing desk intervention that reduced occupational sitting was associated with changes in work-time cognitive-affective states in real time using ecological momentary assessments at the start and end of the trial.

METHODS

Forty-one office employees (91.7% female, mean age = 39.8 [10.1] y) were randomized to receive a low-cost standing desk or a waitlist control. Participants received 5 surveys each day for 5 workdays via smartphone application prior to randomization and at trial's end. Ecological momentary assessment assessed current work-time psychological states (valence and arousal, stress, fatigue, and perceived productivity). Multilevel models assessed whether changes in work-time outcomes over the course of the intervention were significantly different between treatment groups.

RESULTS

There were no significant differences in outcomes between the groups except for fatigue, with the control group reporting a significant decrease in daily fatigue following the intervention (P < .001). The intervention group reported no significant changes in any of the work-time outcomes across the study period (P > .05).

CONCLUSIONS

A low-cost standing desk intervention to reduce occupational sedentary behavior did not negatively impact work-time outcomes such as productivity and fatigue in the short term.

Accelerometer-Measured Physical Behavior and Cardiorespiratory Fitness as Indicators of Work Ability

Work ability (WA) reflects an individual's resources, work demands, and related environment. Self-reports have shown that higher physical activity (PA) is associated with better WA. This study investigated associations of accelerometer-measured (24/7) physical behavior and cardiorespiratory fitness (CRF) with WA. In the FinFit2017-population-based study, the physical behavior of 20-69-year-old working Finns was measured in terms of PA, standing, and sedentariness using validated MAD-APE algorithms based on raw triaxial accelerometer data. During waking hours, the accelerometer was hip-worn, while during the time in bed (TIB), it was worn on the non-dominant wrist. CRF was measured with a 6 min walk test. WA was assessed by four questions excerpted from the Work Ability Index (WAI), called the short WAI (sWAI). Participants (n = 1668, mean age 46.6, SD = 10.9, 57% women) scored on average 23.3 on the sWAI (range 6-27), with a higher value indicating a better WA. More minutes in standing (p = 0.001) and in moderate (p = 0.004) and vigorous PA (p < 0.001) as well as a higher step number (p < 0.001) and better CRF (p < 0.001) were associated with a higher sWAI value. More time spent lying down (p < 0.001) and in high-movement (p < 0.001) and total TIB (p = 0.001) was associated with a lower sWAI. Detailed analysis of 24/7 physical behavior can be utilized in identifying individual-related indicators of WA.

The Importance of Research on Occupational Sedentary Behaviour and Activity Right Now

The workplace has been identified as a key setting for public health interventions to 'promote and maintain the highest degree of physical, mental and social well-being of workers in all occupations' by the World Health Organisation [...].