scholarly journals OP74 Associations of free-living sitting time and physical activity with grip strength and standing balance performance in the 1970 british cohort study

Author(s):  
R Cooper ◽  
E Stamatakis ◽  
A Sullivan ◽  
M Hamer
2020 ◽  
Author(s):  
Andrew Webster ◽  
G David Batty ◽  
Natalie Pearson ◽  
Emmanuel Stamatakis ◽  
Mark Hamer

AbstractAimsWhile physical activity appears to confer protection against depression, the relationship between sedentary behaviour and mental health is uncertain. Self-reported methods provide information about context although there may be error in the quantification of sedentary behaviour. Accordingly, we examined associations of both device-measured and self-reported sedentary behaviour with depression.MethodParticipants (n=4,704; 52.4% Female; aged 46-48) were drawn from the 1970 British Cohort Study. Sitting time and moderate-vigorous physical activity was measured using a thigh-worn accelerometer device (ActivPAL) over a seven day period. A range of self-reported sedentary behaviours was measured to provide context. Depression diagnosis was captured using a combination of self-reported consultation with a physician and use of anti-depressant medication. Malaise inventory was used to assess depressive symptoms.ResultsRelative to those who spent <8 hr/d sitting, those in the highest tertile of device measured sitting (>10 hr/d) had increased odds of depression diagnosis (odds ratio= 1.48 [95% confidence interval 1.05-2.08]). There was no association between self-reported TV viewing and depression diagnosis (1.07; 0.71-1.63). We observed protective associations between moderate-vigorous physical activity and depression diagnosis (highest tertile vs. the lowest tertile; 0.70;0.49-1.00). Associations of sitting time and physical activity with depression were mutually independent. Relative to <1 hours of internet usage, 2-3 and >3 hours of internet weekday usage were associated with increased odds of depressive symptoms (1.60;1.30-1.97 and 1.63;1.32-2.03, respectively).ConclusionDevice-measured sitting is associated depression diagnosis, although less consistent associations are observed with self-reported sedentary behaviours. Regular physical activity and reducing sedentary time may be beneficial for prevention of depression.


2020 ◽  
Author(s):  
Andrew Webster ◽  
G David Batty ◽  
Natalie Pearson ◽  
Emmanuel Stamatakis ◽  
Mark Hamer

Abstract Aims While physical activity appears to confer protection against depression, the relationship between sedentary behaviour and mental health is uncertain. Self-reported methods provide information about context although there may be error in the quantification of sedentary behaviour. Accordingly, we examined associations of both device-measured and self-reported sedentary behaviour with depression. Method Participants (n=4,704; 52.4% Female; aged 46-48) were drawn from the 1970 British Cohort Study. Sitting time and moderate-vigorous physical activity was measured using a thigh-worn accelerometer device (ActivPAL) over a seven day period. A range of self-reported sedentary behaviours was measured to provide context. Depression diagnosis was captured using a combination of self-reported consultation with a physician and use of anti-depressant medication. Malaise inventory was used to assess depressive symptoms. Results Relative to those who spent <8 hr/d sitting, those in the highest tertile of device measured sitting (>10 hr/d) had increased odds of depression diagnosis (odds ratio= 1.48 [95% confidence interval 1.05-2.08]). There was no association between self-reported TV viewing and depression diagnosis (1.07; 0.71-1.63). We observed protective associations between moderate-vigorous physical activity and depression diagnosis (highest tertile vs. the lowest tertile; 0.70;0.49-1.00). Associations of sitting time and physical activity with depression were mutually independent. Relative to <1 hours of internet usage, 2-3 and >3 hours of internet weekday usage were associated with increased odds of depressive symptoms (1.60;1.30-1.97 and 1.63;1.32-2.03, respectively). Conclusion Device-measured sitting is associated depression diagnosis, although less consistent associations are observed with self-reported sedentary behaviours. Regular physical activity and reducing sedentary time may be beneficial for prevention of depression.


2021 ◽  
Vol 145 ◽  
pp. 106434
Author(s):  
Nipuna Senaratne ◽  
Brendon Stubbs ◽  
André O. Werneck ◽  
Emmanuel Stamatakis ◽  
Mark Hamer

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
André O. Werneck ◽  
Eleanor M. Winpenny ◽  
Esther M. F. van Sluijs ◽  
Kirsten Corder

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e030661 ◽  
Author(s):  
Mindy Pike ◽  
Jacob Taylor ◽  
Edmond Kabagambe ◽  
Thomas G Stewart ◽  
Cassianne Robinson-Cohen ◽  
...  

ObjectiveTo examine whether lifestyle factors, including sedentary time and physical activity, could independently contribute to risk of end-stage renal disease (ESRD).Study designCase-cohort study.SettingSouth-eastern USA.ParticipantsThe Southern Community Cohort Study recruited ~86 000 black and white participants from 2002 to 2009. We assembled a case cohort of 692 incident ESRD cases and a probability sample of 4113 participants.PredictorsSedentary time was calculated as hours/day from daily sitting activities. Physical activity was calculated as metabolic equivalent (MET)-hours/day from engagement in light, moderate and vigorous activities.OutcomesIncident ESRD.ResultsAt baseline, among the subcohort, mean (SD) age was 52 (8.6) years, and median (25th, 75th centile) estimated glomerular filtration rate (eGFR) was 102.8 (85.9–117.9) mL/min/1.73 m2. Medians (25th–75th centile) for sedentary time and physical activity were 8.0 (5.5–12.0) hours/day and 17.2 (8.7–31.9) MET-hours/day, respectively. Median follow-up was 9.4 years. We observed significant interactions between eGFR and both physical activity and sedentary behaviour (p<0.001). The partial effect plot of the association between physical activity and log relative hazard of ESRD suggests that ESRD risk decreases as physical activity increases when eGFR is 90 mL/min/1.73 m2. The inverse association is most pronounced at physical activity levels >27 MET-hours/day. High levels of sitting time were associated with increased ESRD risk only among those with reduced kidney function (eGFR ≤30 mL/min/1.73 m2); this association was attenuated after excluding the first 2 years of follow-up.ConclusionsIn a population with a high prevalence of chronic kidney disease risk factors such as hypertension and diabetes, physical activity appears to be associated with reduced risk of ESRD among those with preserved kidney function. A positive association between sitting time and ESRD observed among those with advanced kidney disease is likely due to reverse causation.


2020 ◽  
pp. jech-2020-213783 ◽  
Author(s):  
Mark Hamer ◽  
Emmanuel Stamatakis

BackgroundStanding is often classified as light-intensity physical activity, with potential health benefits compared with sitting. Standing is, however, rarely captured as an independent activity. To better understand free-living standing behaviour at a population level, we incorporated a gold standard postural allocation technique into a national cohort study.MethodsParticipants (n=5412, aged 46.8±0.7 years) from the 1970 British Cohort Study were fitted with a water-proofed thigh-mounted accelerometer device (activPAL3 micro) worn 24 hours continuously over 7 days (90.7% provided at least 3 full days). We examined the correlates of free-living standing during waking hours.ResultsTotal daily standing time averaged 4.6±1.5 h/d, accounting for 29% of waking hours, which was largely (98.7%) accumulated in bouts lasting less than 30 min. In mutually adjusted models, male sex, obesity, diabetes, professional occupation, poor self-rated health and disability were associated with lower device-measured standing times.ConclusionMiddle-aged people in Britain spent a surprisingly large proportion of the day in activities involving standing. Standing merits attention as a health-related posture and may represent a potential target for public health intervention.


2020 ◽  
Author(s):  
Xiaokang Dong ◽  
Yuqian Li ◽  
Lulu Zhang ◽  
Xiaotian Liu ◽  
Runqi Tu ◽  
...  

Abstract Background. There are few studies on the hyperuricemia (HUA) and moderate to vigorous intensity physical activity (PA) and also hardly regarding sitting time (ST). The purpose of this study was to examine the independent and interactive association of PA and ST with HUA.Methods. A cross-sectional analysis was performed on 38,855 participants (aged 18-79) enrolled from the Henan Rural Cohort Study at baseline (2015 to 2017). PA and ST levels were assessed by using the International Physical Activity Questionnaire (IPAQ). HUA was defined as a serum uric acid level of >7.0 mg/dL for males and >6.0 mg/dL for females. Multivariable logistic regression and linear regression models were applied to examine the independent association between PA or ST and HUA and serum uric acid level. Interaction plots were used to visualize the interaction effects of PA and ST on HUA.Results. PA level was inversely related with serum uric acid level (β: -0.15, 95% confidence interval (CI): -0.22, -0.07), but ST was positively related with uric acid level (β: 2.12, 95% CI:1.90, 2.34). Metabolic equivalent (MET-hour/day) was associated with decreased prevalence of HUA (odds ratio (OR): 0.97, 95% CI: 0.96, 0.99), while per hour increased for ST was associated with increased HUA (OR:1.05, 95% CI: 1.04, 1.06). The interaction of PA and ST was significant (P<0.001). Conclusion. Exposure to higher ST was independently related to increased prevalence of HUA, while vigorous PA with a decreased HUA prevalence. Meanwhile, higher daily ST might attenuate the protective effect of PA on HUA.Clinical Trial RegistrationThe Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). http://www.chictr.org.cn/showproj.aspx?proj=11375


2013 ◽  
Vol 177 (6) ◽  
pp. 514-530 ◽  
Author(s):  
C. C. J. M. Simons ◽  
L. A. E. Hughes ◽  
M. van Engeland ◽  
R. A. Goldbohm ◽  
P. A. van den Brandt ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document