P09-08 24-Hour Physical Behavior Balance for Better Health for All: “The Sweet-Spot Hypothesis”

Abstract Background ‘Sit less-move more' has been a common advice to improve health of adults. Research indicates that this advice might be health enhancing among adults with sedentary occupations but not among adults with physically active occupations such as cleaners. This may be explained by the considerable differences in 24-h physical behaviors between adults in sedentary and physically active occupations. To provide a scientific approach and encourage research on 24-h physical behaviors and health for those in physically active occupations, we recently proposed the ‘Sweet-Spot Hypothesis'. The hypothesis postulated that the ‘Sweet-Spot' of 24-h physical behaviors for better health differs between adults, depending on their occupation. Methods To exemplify such hypothesis, we tested the cross-sectional association between 24-hour time composition of physical behaviors measured using thigh-based accelerometry and self-rated health among adults engaged in white-collar (n = 136), manufacturing (n = 481) and cleaning (n = 130) occupations. Results We found that the sweet spot of 24-h physical behaviors for better health was far from ‘sit less-move more' zone among adults with physically active occupations. Specifically, among white-collar workers, 24-h physical behavior distribution associated with the best 5% of self-rated health comprised about 30% of the day spent on sedentary behavior, 45% spent actively, and 25% spent on sleep. However, among cleaners, this distribution was about 50% spent sedentary, 15% spent actively, and 35% on sleep and in manufacturing sector, this distribution was about 35% spent sedentary, 35% spent actively, and 30% spent on sleep. Conclusion The advice ‘sit less-move more' may not bring adults in physically active occupations toward their ‘Sweet-Spot' of 24-h physical behaviors for better health. To promote health for all and reduce social gradient, we see a great need for empirically testing the ‘Sweet-Spot Hypothesis' with high-quality data and strong study design. We hope that the proposal of testing ‘Sweet-Spot Hypothesis' will encourage discussion, debates, and empirical research to expand our collective knowledge about the healthy ‘24-h physical behavior balance' for all.

Background 'Sit less-move more' has been a common advice to improve health of adults. Research indicates that this advice might be health enhancing among adults with sedentary occupations but not among adults with physically active occupations such as cleaners. This may be explained by the considerable differences in 24-h physical behaviors between adults in sedentary and physically active occupations. To provide a scientific approach and encourage research on 24-h physical behaviors and health for those in physically active occupations, we recently proposed the 'Sweet-Spot Hypothesis'. The hypothesis postulated that the 'Sweet-Spot' of 24-h physical behaviors for better health differs between adults, depending on their occupation.

Methods
To exemplify such hypothesis, we tested the cross-sectional association between 24-hour time composition of physical behaviors measured using thigh-based accelerometry and selfrated health among adults engaged in white-collar (n = 136), manufacturing (n = 481) and cleaning (n = 130) occupations.

Results
We found that the sweet spot of 24-h physical behaviors for better health was far from 'sit less-move more' zone among adults with physically active occupations. Specifically, among white-collar workers, 24-h physical behavior distribution associated with the best 5% of self-rated health comprised about 30% of the day spent on sedentary behavior, 45% spent actively, and 25% spent on sleep. However, among cleaners, this distribution was about 50% spent sedentary, 15% spent actively, and 35% on sleep and in manufacturing sector, this distribution was about 35% spent sedentary, 35% spent actively, and 30% spent on sleep.

Conclusion
The advice 'sit less-move more' may not bring adults in physically active occupations toward their 'Sweet-Spot' of 24-h physical behaviors for better health. To promote health for all and reduce social gradient, we see a great need for empirically testing the 'Sweet-Spot Hypothesis' with high-quality data and strong study design. We hope that the proposal of testing 'Sweet-Spot Hypothesis' will encourage discussion, debates, and empirical research to expand our collective knowledge about the healthy '24-h physical behavior balance' for all.

Background
During the COVID-19 pandemic, many white-collar workers were requested to exclusively work from home (WFH), which may have affected their sedentary behavior. In Sweden, having less severe restrictions than many other countries, workers were allowed to alternate between WFH and work at the office (WAO), so called hybrid work. Understanding how hybrid work influences total sedentary behavior and its temporal distribution is an important issue for future health promotion. This study aimed to investigate to what extent office workers changed their temporal pattern of sedentary behavior during days WFH compared to WAO, considering age and gender as potential moderators. Methods Data were collected from May to December 2020 in office workers (n = 199). Their mean age was 42 (SD 10) years and 55% were women. Physical behaviors were measured using a thigh-worn accelerometer (AxivityAX3) for seven consecutive days. A diary identified working hours, time-in-bed and days WFH or WAO. Time-use was classified as short (0-5 min), moderate (5-30 min) and long bouts (>30 min) of sedentary behavior (SB), non-SB, and time-in-bed during workdays (WAO and WFH) and non-workdays. We used Compositional data analysis to express data as 24-hour compositions and linear mixed models to estimate difference in 24-hour compositions between day types (within worker), including age and gender as covariates and moderators.

Results
We found that workdays (WFH and WAO) were associated with proportionally less time-in-bed relative to time awake, more time SB relative to non-SB, and more time in longer relative to shorter sedentary bouts, compared to non-workdays (all p > 0.001). WFH was associated with more time-in-bed relative to awake and more SB relative to non-SB than WAO (p > 0.05), but the differences for sedentary bouts were not significant. Younger workers and women had more SB, and women accumulated more time than men in longer relative to shorter bouts of SB. However, age and gender did not affect differences between day types.

Conclusions
Working from home influenced 24-hour time-use in office workers by increasing sedentary behavior in total, while its temporal pattern was unchanged. Results contribute to

Modern technology in physical activity promotion
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