1 Faghy, M. A., Duncan, M., Pringle, A., Meharry, J. B. & Roscoe, C. UK university staff experience high levels of sedentary behaviour during work and leisure time. International Journal of Occupational Safety and Ergonomics, 1-8 (2021).
2 Rosenberg, D. E. et al. Reliability and validity of the Sedentary Behavior Questionnaire (SBQ) for adults. Journal of Physical Activity and Health 7, 697-705 (2010).
3 Biddle, S. J. et al. Too much sitting and all-cause mortality: is there a causal link? BMC public health 16, 1-10 (2016).
4 Chu, A. et al. Self-reported domain-specific and accelerometer-based physical activity and sedentary behaviour in relation to psychological distress among an urban Asian population. international journal of behavioral nutrition and physical activity 15, 36 (2018).
5 Guitar, N., MacDougall, A., Connelly, D. & Knight, E. Fitbit activity trackers interrupt workplace sedentary behavior: A new application. Workplace health & safety 66, 218-222 (2018).
6 Baye, M. Y. Sedentary Behaviour among Urban Civil Servants in Eastern Part of Southern Nations, Nationalities and Peoples’ Region, Ethiopia. BioMed Research International 2021 (2021).
7 Huang, B. et al. Cross‐sectional associations of device‐measured sedentary behaviour and physical activity with cardio‐metabolic health in the 1970 British Cohort Study. Diabetic Medicine, e14392 (2020).
8 Pitanga, F. J. G. et al. Association between leisure-time physical activity and sedentary behavior with cardiometabolic health in the ELSA-Brasil participants. SAGE open medicine 7, 2050312119827089 (2019).
9 Higuita-Gutiérrez, L. F., Quiroz, W. d. J. M. & Cardona-Arias, J. A. Prevalence of Metabolic Syndrome and Its Association with Sociodemographic Characteristics in Participants of a Public Chronic Disease Control Program in Medellin, Colombia, in 2018. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 13, 1161 (2020).
10 Thorp, A. A. et al. Deleterious associations of sitting time and television viewing time with cardiometabolic risk biomarkers: Australian Diabetes, Obesity and Lifestyle (AusDiab) study 2004–2005. Diabetes care 33, 327-334 (2010).
11 Geto, Z. D. et al. Assessment of Cardiometabolic Risk Factors: the Case of Ethiopian Public Health Institute Staff Members. (2020).
12 Owen, N. et al. Sedentary behavior and public health: integrating the evidence and identifying potential solutions. Annual review of public health 41, 265-287 (2020).
13 Tanja, S. et al. Both sedentary time and physical activity are associated with cardiometabolic health in overweight adults in a 1 month accelerometer measurement. Scientific Reports (Nature Publisher Group) 10 (2020).
14 Sjöros, T. et al. Both sedentary time and physical activity are associated with cardiometabolic health in overweight adults in a 1 month accelerometer measurement. Scientific reports 10, 1-11 (2020).
15 Gupta, N. et al. What is the effect on obesity indicators from replacing prolonged sedentary time with brief sedentary bouts, standing and different types of physical activity during working days? A cross-sectional accelerometer-based study among blue-collar workers. PloS one 11, e0154935 (2016).
16 Honda, T., Chen, S., Kishimoto, H., Narazaki, K. & Kumagai, S. Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis. BMC Public Health 14, 1307 (2014).
17 Motuma, A., Gobena, T., Roba, K. T., Berhane, Y. & Worku, A. Sedentary Behavior and Associated Factors Among Working Adults in Eastern Ethiopia. Frontiers in Public Health 9, doi:10.3389/fpubh.2021.693176 (2021).
18 Ullrich, A. et al. A cross-sectional analysis of the associations between leisure-time sedentary behaviors and clustered cardiometabolic risk. BMC Public Health 18, 1-8 (2018).
19 Honda, T., Chen, S., Kishimoto, H., Narazaki, K. & Kumagai, S. Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis. BMC Public Health 14, 1-9 (2014).
20 Gebreyes, Y. F. et al. Prevalence of high bloodpressure, hyperglycemia, dyslipidemia, metabolic syndrome and their determinants in Ethiopia: Evidences from the National NCDs STEPS Survey, 2015. PloS one 13, e0194819 (2018).
21 WHO. WHO STEPS surveillance manual: the WHO STEPwise approach to chronic disease risk factor surveillance. (Geneva: World Health Organization, 2005).
22 Tremblay, M. S. et al. Sedentary behavior research network (SBRN)–terminology consensus project process and outcome. International Journal of Behavioral Nutrition and Physical Activity 14, 75 (2017).
23 Prince, S. A. et al. A comparison of self-reported and device measured sedentary behaviour in adults: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 17, 1-17 (2020).
24 Bakker, E. A. et al. Correlates of Total and domain-specific Sedentary behavior: a cross-sectional study in Dutch adults. BMC public health 20, 1-10 (2020).
25 Dempsey, P. C., Owen, N., Biddle, S. J. & Dunstan, D. W. Managing sedentary behavior to reduce the risk of diabetes and cardiovascular disease. Current diabetes reports 14, 522 (2014).
26 Lim, M. S. et al. Leisure sedentary time is differentially associated with hypertension, diabetes mellitus, and hyperlipidemia depending on occupation. BMC Public Health 17, 1-9 (2017).
27 Stamatakis, E., Hamer, M., Tilling, K. & Lawlor, D. A. Sedentary time in relation to cardio-metabolic risk factors: differential associations for self-report vs accelerometry in working age adults. International journal of epidemiology 41, 1328-1337 (2012).
28 Biswas, A. et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Annals of internal medicine 162, 123-132 (2015).
29 Ouyang, X. et al. Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population. Diabetology & metabolic syndrome 7, 1-7 (2015).
30 Huang, B. et al. Cross‐sectional associations of device‐measured sedentary behaviour and physical activity with cardio‐metabolic health in the 1970 British Cohort Study. Diabetic Medicine 38, e14392 (2021).
31 Powell, C., Herring, M. P., Dowd, K. P., Donnelly, A. E. & Carson, B. The cross‐sectional associations between objectively measured sedentary time and cardiometabolic health markers in adults–a systematic review with meta‐analysis component. Obesity Reviews 19, 381-395 (2018).
32 Janakiraman, B., Abebe, S. M., Chala, M. B. & Demissie, S. F. Epidemiology of General, Central Obesity and Associated Cardio-Metabolic Risks Among University Employees, Ethiopia: A Cross-Sectional Study. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 13, 343 (2020).
33 Hamilton, M. T., Hamilton, D. G. & Zderic, T. W. Exercise physiology versus inactivity physiology: an essential concept for understanding lipoprotein lipase regulation. Exercise and sport sciences reviews 32, 161 (2004).
34 Crichton, G. E. & Alkerwi, A. a. Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study. Lipids in health and disease 14, 1-9 (2015).
35 Crawford, C. K., Akins, J. D., Vardarli, E., Wolfe, A. S. & Coyle, E. F. Prolonged standing reduces fasting plasma triglyceride but does not influence postprandial metabolism compared to prolonged sitting. PloS one 15, e0228297 (2020).
36 Bey, L. & Hamilton, M. T. Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low‐intensity activity. The Journal of physiology 551, 673-682 (2003).
37 Altenburg, T. M., Lakerveld, J., Bot, S. D., Nijpels, G. & Chinapaw, M. J. The prospective relationship between sedentary time and cardiometabolic health in adults at increased cardiometabolic risk–the Hoorn Prevention Study. International Journal of Behavioral Nutrition and Physical Activity 11, 1-6 (2014).
38 Whitaker, K. M. et al. Sedentary behaviors and cardiometabolic risk: an isotemporal substitution analysis. American journal of epidemiology 187, 181-189 (2018).
39 Dempsey, P. C. et al. Associations of context-specific sitting time with markers of cardiometabolic risk in Australian adults. International Journal of Behavioral Nutrition and Physical Activity 15, 1-11 (2018).
40 Straker, L., Dunstan, D., Gilson, N. & Healy, G. Sedentary work. Evidence on an emergent work health and safety issue. (2016).
41 Sugiyama, T., Hadgraft, N., Clark, B. K., Dunstan, D. W. & Owen, N. Sitting at work & waist circumference—A cross-sectional study of Australian workers. Preventive Medicine 141, 106243 (2020).
42 Brocklebank, L. A., Falconer, C. L., Page, A. S., Perry, R. & Cooper, A. R. Accelerometer-measured sedentary time and cardiometabolic biomarkers: A systematic review. Preventive medicine 76, 92-102 (2015).
43 Chau, J. Y. et al. Cross-sectional associations of total sitting and leisure screen time with cardiometabolic risk in adults. Results from the HUNT Study, Norway. Journal of Science and Medicine in Sport 17, 78-84 (2014).
44 Pulsford, R. M., Stamatakis, E., Britton, A. R., Brunner, E. J. & Hillsdon, M. M. Sitting behavior and obesity: evidence from the Whitehall II study. American journal of preventive medicine 44, 132-138 (2013).
45 Eriksen, D., Rosthøj, S., Burr, H. & Holtermann, A. Sedentary work—Associations between five-year changes in occupational sitting time and body mass index. Preventive Medicine 73, 1-5 (2015).