scholarly journals Device-measured physical activity and sedentary behaviour in relation to mental wellbeing: An analysis of the 1970 British cohort study

2021 ◽  
Vol 145 ◽  
pp. 106434
Author(s):  
Nipuna Senaratne ◽  
Brendon Stubbs ◽  
André O. Werneck ◽  
Emmanuel Stamatakis ◽  
Mark Hamer
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Sedentary Behaviour ◽  
Mental Wellbeing ◽  
British Cohort Study

scholarly journals Association between device measured and self-reported sitting in relation to depression: the 1970 British Cohort Study

2020 ◽  
Author(s):  
Andrew Webster ◽  
G David Batty ◽  
Natalie Pearson ◽  
Emmanuel Stamatakis ◽  
Mark Hamer
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Sitting Time ◽  
Tv Viewing ◽  
Depression Diagnosis ◽  
Sedentary Behaviours ◽  
British Cohort Study

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.

scholarly journals Association between device measured and self-reported sitting in relation to depression: the 1970 British Cohort Study

2020 ◽  
Author(s):  
Andrew Webster ◽  
G David Batty ◽  
Natalie Pearson ◽  
Emmanuel Stamatakis ◽  
Mark Hamer
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Sitting Time ◽  
Tv Viewing ◽  
Depression Diagnosis ◽  
Sedentary Behaviours ◽  
British Cohort Study

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.

scholarly journals Cohabiting and becoming a parent: associations with changes in physical activity in the 1970 British cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
André O. Werneck ◽  
Eleanor M. Winpenny ◽  
Esther M. F. van Sluijs ◽  
Kirsten Corder
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
British Cohort Study

scholarly journals Effects of physical activity and sedentary behaviour on cardiometabolic risk factors and cognitive function in children: protocol for a cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e030322 ◽  
Author(s):  
Yajie Lv ◽  
Li Cai ◽  
Zhaohuan Gui ◽  
Xia Zeng ◽  
Minyi Tan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cohort Study ◽  
Cognitive Function ◽  
Sedentary Behaviour ◽  
Phase Ii ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Related Potentials

IntroductionAlthough studies showed that physical activity (PA) and sedentary behaviour (SB) were associated with cardiometabolic risk factors and cognitive function, both independent and combined associations among them are inconsistent. Cardiometabolic risk factors are also associated with cognitive function, but research of children is limited. Additionally, the brain level mechanisms have not been fully established. The proposed study aims to explore the associations and mechanisms of PA and SB on cognitive function and cardiometabolic risk factors in children.Methods and analysisThis is a school-based prospective cohort study. A total of 8324 participants of this study are primary school students aged 7–12 years old who are followed up every 2 years from January 2017 to December 2026. We used a stratified cluster random sampling to select five primary schools in Guangzhou, China. There are three phases at baseline. At phase I, we collect PA, SB and cognitive function by questionnaires and also conduct anthropometric and biochemical measurements in all participants. At phase II, PA, SB and cognitive function are measured respectively by accelerometers and cognitive tasks among participants randomly selected from four subgroups with different SB and PA levels. At phase III, event-related potentials are recorded using electroencephalogram during a cognitive task among participants randomly selected from phase II. We plan to follow-up all participants until they graduate from high school. The process applied at baseline and follow-up are approximately identical.Ethics and disseminationProcedures described in this manuscript have been approved by the Ethical Review Committee for Biomedical Research, School of Public Health, Sun Yat-sen University (L2016-010). All parents or guardians of participants signed the informed consent form voluntarily before participating in the study. The findings of the study will be published in peer-reviewed journals.Trial registration numberNCT03582709

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