Table 1.
References | Country | Objective | Design | Participants | Method | Sedentary behaviour measurement | Key findings | Physiology |
---|---|---|---|---|---|---|---|---|
Obesity | ||||||||
Megan Crowe et al.9 | Canada | To find out the risk associated with combined MVPA and screen time on overweight or obesity | Cross-sectional study | 9913 students of 7–12 grades | MVPA (active >60 min/day; inactive <60 min/day) and sedentary (>2 h of screen time; not sedentary (<2 h of screen time) were related with overweight and obesity | Sedentary > 2 h screen time/day; not sedentary < 2 h/day (questionnaire) | The inactive and sedentary the group was likely to have overweight or obesity than the active and not sedentary group (OR = 1.71; 95% CI, 1.26–2.32) | The body composition and energy expenditure were the possible reasons |
Saeidifard et al.10 | USA | To find out the differences in EE between sitting and standing | Systematic review and meta-analysis | 46 studies (1184 participants) | The literature was searched until June 2017 for studies involving EE between sitting and standing in non-pregnant adults | EE was measured using accelerometers and indirect calorimeters | The mean difference in EE between standing and standing was 0.15 kcal/min (95% confidence interval (CI) 0.12–0.17) | Sitting reduces muscle recruitment and reduces the EE. Postures other than sitting improves NEAT and reduces obesity |
Henson et al.11 | United Kingdom | To examine associations between sedentary time and adiposity | A nested study from a large RCT | 124 participants at the risk of diabetes | Accelerometers objectively measured sedentary time and MRI measured adiposity | Accelerometer (Actigraph) | Sixty minutes of sedentary time was adversely associated with 1.74 L higher total abdominal fat, 0.62 L higher visceral fat, 1.14 L higher subcutaneous fat, and 1.86% higher liver fat. | Partially explained by excess visceral fat, in which non-esterified fatty acids (NEFA), glycerol, and hormones released from adipose tissue |
Cardiovascular diseases | ||||||||
Lavie et al.12 | USA | To establish the relationship between cardiovascular outcomes and physical inactivity | Scoping review | Heterogenous population. 15 studies (4,58,879 men & 4,66,106 women) | The study reviewed several studies and elaborated the physiological mechanisms relating to chronic diseases and physical inactivity | Heterogenous measurement: subjective and objective measures | • Fit men were found to have reduced mortality by 52% then unfit men • everyone estimated MET increase in CRF was associated with 13% and 15% reductions in all-cause and CVD |
Reduced mitochondrial content and respiration, increased inflammation in skeletal muscles, β adrenergic receptor desensitization |
Carter et al.13 | Netherlands | To review the studies establishing the relation between cardiometabolic risk and prolonged sitting | Scoping review | Eight studies(198 participants) | Several studies were reviewed. The cardiometabolic outcomes were associated with the physical inactivity or prolonged sitting bouts | Not mentioned | Sitting reduces flow-mediated dilatation by 2.2%; inflammatory cytokines increased, endothelial shear 2.2% ± 2.15% | Endothelial stress, cardiac remodelling and endurance, inflammatory markers (IL-6, IL-12), adiposity and atherogenesis |
Cancer | ||||||||
Rangul et al.15 | Norway | To examine the association between physical activity and sitting time with cancer incidence | Prospective study | 8,154 healthy participants from the Norwegian community | adults in the Nord-Trøndelag Health Study (HUNT) followed up for 17–19 years for cancer incidence | Sitting time was measured subjectively through the questionnaire | • sitting ≥eight hr/day was associated with 22% (95% CI, 1.05–1.42) higher risk of prostate cancer compared to sitting <8 h/day. • low physical activity (≤8.3 MET-h/week) had 31% (95% CI, 1.00–1.70) increased risk of colorectal cancer (CRC) and 45% (95% CI, 1.01–2.09) increased risk of lung cancer |
Possibly attributed to insulin resistance, adiponectin levels, insulin-like growth factors testosterone, muscle- and fat-related proteins as follistatin, myostatin, activin and inhibin. |
Nguyen et al.17 | USA | To see whether sedentary behaviour related to colorectal cancer incidence | Cross-sectional study | 89,278 women in the Nurses' Health Study II ages 25–42 years | The participants from Nurses' Health Study II ages 25–42 years (1991–2011) were assessed for sedentary behaviour and colorectal cancer | TV viewing time through the questionnaire | If TV viewing hours is more than 7 hours increased the risk of colorectal cancer (RR:1.25). If more than 14 hours of RR increased by 1.69. Inspite of cumulative exercise, prolonged sitting time increases the risk of colorectal cancer | unbroken sitting results in extended exposure to faecal carcinogens, such as secondary bile acids, impair glucose homeostasis and decrease vitamin D levels |
Lynch et al.16 | Canada | To systematically review studies examining associations of sedentary behaviourwith cancer risk | Systematic review and meta-analysis | 176 studies were retrieved investigating the effect on adiposity, sex hormones, inflammation and metabolic function | Literature search on peer-reviewed databases with SB and cancer risk. Also, the study investigated other health risks in cancer survivors. | 95% of the studies measured SB through subjective measures | A significant association between SB time and cancer risk factors (OR 1.02 – 1.17). TV times were found significantly related to cancer risk and early mortality | SB increases adiposity, sex hormones, inflammation and metabolic dysfunction predisposing to cancer |
Diabetes | ||||||||
Asvold et al.14 | Norway | To find whether prolonged sitting is a risk for diabetes | Prospective trial | 28,051 adult participants of the Nord-Trøndelag Health Study (the HUNT Study) were followed for diabetes incidence from 1995–1997 to 2006–2008 (11 years) | The trial used the HUNT2 Survey as the baseline risk factor examination. Diabetes risk was assessed at 11 years follow-up Self-reported sitting time | Sitting time was estimated from the questionnaires | • Sitting ≥ eight hr/day was associated with a 17% higher risk of developing diabetes compared with sitting ≤four hr/day. • Without leisure-time physical activity, this risk becomes 30% in participants sitting <8 h/day |
Hyperinsulinemia, postprandial hyperglycaemia, impaired glucose tolerance was observed. |
Yates et al.18 | United Kingdom | To investigate whether prolonged sitting or any interruption alter the postprandial glycemia | Cross over randomized trial | 60 participants (30 south Asians and 30 Europeans) | Sitting, sitting with interruptions was administered and postprandial blood glucose was measured | Objective measure through accelerometer (ActivPAL) | insulin response was reduced by 22.4 (12.4, 32.4) mU/L (27%) during walking breaks compared to prolonged sitting | Possible mechanisms were insulin sensitivity and GLUT4 transporters sensitivity |
Anxiety and depression | ||||||||
Dale et al.19 | Canada | To examine the relationship between physical activity and mental health outcomes | Systematic review | 32 studies were included | Studies were searched until 2017 relating physical activity and self-esteem, anxiety and depression | Included both subjective and objective measures of physical activity included | Studies showed physical activity is inversely related to depression, anxiety and directly related to self-esteem | Self-esteem has found to reduce anxiety and depression. Possibly by endorphins and autonomic stability |
Supplementary file: Table 2. Breaking Sitting Behavior through Exercises during COVID-19 lockdown.