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      Evaluation of the Association Between Sedentary Time and Low Work Engagement in the Work Environment After COVID-19 Pandemic: A Cross-Sectional Study of Japanese Workers

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      1 , 2 , 3 , 4 , 5 ,
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      Cureus
      Cureus
      work from home, desk worker, work engagement, covid-19, sedentary behavior

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          Abstract

          Introduction

          The global shift toward working from home due to the COVID-19 pandemic has led to concerns about increased sedentary behavior and its potential impact on work engagement, a critical factor for employee well-being and organizational productivity. This study aims to explore the association between sedentary time and work engagement among workers in Japan in the post-pandemic work environment.

          Methods

          This cross-sectional analysis utilized data from the Japan COVID-19 and Society Internet Survey (JACSIS), conducted from September to November 2023, after the COVID-19 pandemic period. Participants included employed individuals over 18 years, excluding those in domestic occupations. Sedentary time and work engagement were self-reported and categorized. Logistic regression analysis adjusted for confounders such as socioeconomic status, work characteristics, and mental and physical health was employed to explore this association.

          Results

          The study found a significant association between longer sedentary time and lower levels of work engagement. In particular, for desk workers, longer sedentary time was associated with lower work engagement (sedentary time, compared to the reference category “<4 hours/day”, 4 to <8 h: OR 1.42, 95% CI: 1.25-1.60; 8 to <12 h: OR 1.77, 95% CI: 1.55-2.01; ≥12 h or unknown: OR 2.14, 95% CI: 1.80-2.51, respectively). Sensitivity analysis confirmed that these results are robust to different definitions of work engagement. Furthermore, analyses in subgroups of desk workers classified according to specific characteristics suggested that desk workers who are full-time workers in non-managerial positions and work from home ≥4 days per week were more strongly associated with prolonged sedentary behavior and low work engagement (in the group of full-time workers who were non-managers, sedentary time, compared to the reference category “<4 hours/day”, 4 to <8 h: OR 2.14, 95% CI: 1.52-3.00; 8 to <12 h: OR 2.10, 95% CI: 1.46-3.00; ≥12 h or unknown: OR 3.32, 95% CI: 1.99-6.05; in those with work-from-home frequency of ≥4 days weekly, sedentary time, compared to the reference category “<4 hours/day”, 4 to <8 h: OR 1.46, 95% CI: 0.99-2.16; 8 to <12 h: OR 1.73, 95% CI: 1.19-2.56; ≥12 h or unknown: OR 2.41, 95% CI: 1.58-3.67).

          Conclusions

          This study revealed a significant association between sedentary time and low work engagement among workers in Japan after the COVID-19 pandemic. In the future, prospective studies are needed to confirm the causal associations between the two, using more validated measures of sedentary behavior.

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          Most cited references30

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          Principles of confounder selection

          Selecting an appropriate set of confounders for which to control is critical for reliable causal inference. Recent theoretical and methodological developments have helped clarify a number of principles of confounder selection. When complete knowledge of a causal diagram relating all covariates to each other is available, graphical rules can be used to make decisions about covariate control. Unfortunately, such complete knowledge is often unavailable. This paper puts forward a practical approach to confounder selection decisions when the somewhat less stringent assumption is made that knowledge is available for each covariate whether it is a cause of the exposure, and whether it is a cause of the outcome. Based on recent theoretically justified developments in the causal inference literature, the following proposal is made for covariate control decisions: control for each covariate that is a cause of the exposure, or of the outcome, or of both; exclude from this set any variable known to be an instrumental variable; and include as a covariate any proxy for an unmeasured variable that is a common cause of both the exposure and the outcome. Various principles of confounder selection are then further related to statistical covariate selection methods.
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            Sitting time and all-cause mortality risk in 222 497 Australian adults.

            Prolonged sitting is considered detrimental to health, but evidence regarding the independent relationship of total sitting time with all-cause mortality is limited. This study aimed to determine the independent relationship of sitting time with all-cause mortality. We linked prospective questionnaire data from 222 497 individuals 45 years or older from the 45 and Up Study to mortality data from the New South Wales Registry of Births, Deaths, and Marriages (Australia) from February 1, 2006, through December 31, 2010. Cox proportional hazards models examined all-cause mortality in relation to sitting time, adjusting for potential confounders that included sex, age, education, urban/rural residence, physical activity, body mass index, smoking status, self-rated health, and disability. During 621 695 person-years of follow-up (mean follow-up, 2.8 years), 5405 deaths were registered. All-cause mortality hazard ratios were 1.02 (95% CI, 0.95-1.09), 1.15 (1.06-1.25), and 1.40 (1.27-1.55) for 4 to less than 8, 8 to less than 11, and 11 or more h/d of sitting, respectively, compared with less than 4 h/d, adjusting for physical activity and other confounders. The population-attributable fraction for sitting was 6.9%. The association between sitting and all-cause mortality appeared consistent across the sexes, age groups, body mass index categories, and physical activity levels and across healthy participants compared with participants with preexisting cardiovascular disease or diabetes mellitus. Prolonged sitting is a risk factor for all-cause mortality, independent of physical activity. Public health programs should focus on reducing sitting time in addition to increasing physical activity levels.
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              Effectiveness of a worksite lifestyle intervention on vitality, work engagement, productivity, and sick leave: results of a randomized controlled trial.

              A worksite lifestyle intervention aiming to improve lifestyle behaviors could be an effective tool to keep older workers vital, and thereby prolong their labor participation. Therefore, this study evaluates the effectiveness of such an intervention on vitality, work engagement, productivity and sick leave. In a randomized controlled trial design, 367 workers (control group: N=363) received a 6-month intervention, which included two weekly guided group sessions: one yoga and one workout, as well as one weekly session of aerobic exercising, without face-to-face instruction, and three individual coach visits aimed at changing workers' lifestyle behavior by goal setting, feedback, and problem-solving strategies. Furthermore, free fruit was provided at the guided sessions. Data on work-related vitality (UWES vitality scale), general vitality (RAND-36 vitality scale), work engagement (UWES), productivity (single item scoring 0-10), and sick leave (yes/no past 3 months) were collected using questionnaires at baseline (N=730), and at 6- (N=575) and 12-months (N=500) follow-up. Effects were analyzed according to the intention-to-treat principle with complete cases (N=500) and imputed data (N=730). There were no significant differences in vitality, work engagement, productivity, and sick leave between the intervention and control group workers after either 6- and 12-months follow-up. Yoga and workout subgroup analyses showed a 12-month favorable effect on work-related vitality [β=0.14, 95% confidence interval (95% CI) 0.04-0.28] and general vitality (β=2.9, 95% CI 0.02-5.9) among high yoga compliers. For high workout compliers, this positive trend was also seen, but it was not statistically significant. Implementation of worksite yoga facilities could be a useful strategy to promote vitality-related work outcomes, but only if high compliance can be maximized. Therefore, impeding factors for participation should be investigated in more detail in future research.
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                Author and article information

                Journal
                Cureus
                Cureus
                2168-8184
                Cureus
                Cureus (Palo Alto (CA) )
                2168-8184
                19 June 2024
                June 2024
                : 16
                : 6
                : e62725
                Affiliations
                [1 ] Epidemiology and Public Health, Tokyo Higaeri Day Surgery Clinic, Tokyo, JPN
                [2 ] Cancer Control Center, Osaka International Cancer Institute, Osaka, JPN
                [3 ] Public Health, The Tokyo Foundation for Policy Research, Tokyo, JPN
                [4 ] Public Health, Teikyo University Graduate School of Public Health, Tokyo, JPN
                [5 ] Division of Population Data Science, National Cancer Center Institute for Cancer Control, Tokyo, JPN
                Author notes
                Article
                10.7759/cureus.62725
                11259461
                39036229
                66eabc79-b743-47ee-afaf-315c0fdb3bd4
                Copyright © 2024, Miura et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 June 2024
                Funding
                This study (JACSIS2022) was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grants (grant number 21H04856; 23H03160; 22H03225; 23K18370; 23K16245; 22K02116; 23K07492), the Children and Families Agency Program (Grant Number JPCA24DA1234), the intramural fund of the National Institute for Environmental Studies, the Health Labor Sciences Research Grant 22JA1005; 23EA1001; 23FA1004, and the research program on “Using Health Metrics to Monitor and Evaluate the Impact of Health Policies,” conducted at the Tokyo Foundation for Policy Research.
                Categories
                Epidemiology/Public Health
                Occupational Health
                Sports Medicine

                work from home,desk worker,work engagement,covid-19,sedentary behavior

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