(3.3M, pdf) Footnotes Contributors: IL-D collected the data, conducted the analysis and wrote the first draft of the manuscript. selleck chemical Ivacaftor PM advised on design of the study, data analysis and helped revise the draft of the manuscript. PL-C

helped in conducting the study and data analysis. CFL was involved in data analysis and helped revise the draft of the manuscript. JLS contributed expertise in interpretation and analysis and helped revise the draft manuscript. AG-P contributed to design the study and provided expertise in interpretation and analysis. ELM contributed to the study design, provided expertise in interpretation and analysis, and assisted in revising the draft manuscript. All authors reviewed and agreed on the submitted version of the manuscript. Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. Competing interests: None. Provenance and peer review: Not commissioned; externally peer reviewed. Data sharing statement: No additional data are available.
Recent studies show that sedentary time (ST) (defined as an energy expenditure rate below 1.5 metabolic equivalents,1 often characterised

by activities involving sitting) is linked to increased all-cause2–5 and cardiovascular2 3 mortality risk independently of leisure-time physical activity participation. Television viewing, one of the most common ST activities, has been specifically linked to all-cause and cardiovascular mortality and type 2 diabetes.6 Objective data show that adults in England spend approximately 9–10 h a day being sedentary on average, out of which approximately 4 h/day is TV watching.7 8 Assuming that the average waking day lasts for 16 h, total ST accounts for some 55–65%

of total waking time. For working age adults a substantial proportion of total ST takes place while at work, 56% of working English men and 50% of women report more than 5 h/day being sedentary while at work.7 Socioeconomic position (SEP) is a broad term that encompasses a range of characteristics, including occupational type and employment status, purchasing capacity and ownership, Drug_discovery educational level and deprivation. Accordingly, there are several SEP indices each of which measures different aspects of social standing. Overall, SEP is a strong predictor of premature mortality and chronic disease occurrence including cardiovascular disease (CVD)9 and diabetes10 with individuals in lower SEP being considerably more likely to fall ill and die prematurely. Although there is no consensus on the origins of the socioeconomic gradient in health, one of the suggested pathways involves higher prevalence of poor health behaviours (eg, physical inactivity and smoking) among lower socioeconomic groups.