scholarly journals Cross-sectional and prospective relationships of passive and mentally active sedentary behaviours and physical activity with depression

2019 ◽  
Vol 217 (2) ◽  
pp. 413-419 ◽  
Author(s):  
Mats Hallgren ◽  
Thi-Thuy-Dung Nguyen ◽  
Neville Owen ◽  
Brendon Stubbs ◽  
Davy Vancampfort ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Odds Ratio ◽  
Vigorous Physical Activity ◽  
Depression Symptoms ◽  
Vigorous Activity ◽  
Light Physical Activity ◽  
Cross Sectional ◽  
Sedentary Behaviours ◽  
Potential Impact

BackgroundSedentary behaviour can be associated with poor mental health, but it remains unclear whether all types of sedentary behaviour have equivalent detrimental effects.AimsTo model the potential impact on depression of replacing passive with mentally active sedentary behaviours and with light and moderate-to-vigorous physical activity. An additional aim was to explore these relationships by self-report data and clinician diagnoses of depression.MethodIn 1997, 43 863 Swedish adults were initially surveyed and their responses linked to patient registers until 2010. The isotemporal substitution method was used to model the potential impact on depression of replacing 30 min of passive sedentary behaviour with equivalent durations of mentally active sedentary behaviour, light physical activity or moderate-to-vigorous physical activity. Outcomes were self-reported depression symptoms (cross-sectional analyses) and clinician-diagnosed incident major depressive disorder (MDD) (prospective analyses).ResultsOf 24 060 participants with complete data (mean age 49.2 years, s.d. 15.8, 66% female), 1526 (6.3%) reported depression symptoms at baseline. There were 416 (1.7%) incident cases of MDD during the 13-year follow-up. Modelled cross-sectionally, replacing 30 min/day of passive sedentary behaviour with 30 min/day of mentally active sedentary behaviour, light physical activity and moderate-to-vigorous activity reduced the odds of depression symptoms by 5% (odds ratio 0.95, 95% CI 0.94–0.97), 13% (odds ratio 0.87, 95% CI 0.76–1.00) and 19% (odds ratio 0.81, 95% CI 0.93–0.90), respectively. Modelled prospectively, substituting 30 min/day of passive with 30 min/day of mentally active sedentary behaviour reduced MDD risk by 5% (hazard ratio 0.95, 95% CI 0.91–0.99); no other prospective associations were statistically significant.ConclusionsSubstituting passive with mentally active sedentary behaviours, light activity or moderate-to-vigorous activity may reduce depression risk in adults.

scholarly journals Relationships of Accelerometer-based Measured Objective Physical Activity and Sedentary Behaviour with Cognitive Function: A Comparative Cross-sectional Study of China’s Elderly Population

2020 ◽  
Author(s):  
Zhi jian Wu ◽  
Zhu ying Wang ◽  
Bing qian Hu ◽  
Xu hui Zhang ◽  
Fan Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cognitive Function ◽  
Cognitive Ability ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Light Physical Activity ◽  
Cross Sectional Survey ◽  
Cross Sectional

Abstract Background: This study explored the effects of physical activity and sedentary behaviour on the decline of cognitive ability among the elderly. To compensate for the limitations of self-reported physical activity, objective measures were used. Methods: A cross-sectional survey of 308 aged people mean 68.66±5.377 years, in Nanjing, China, was conducted. Physical activity was measured using the ActiGraph GT3X+, and cognitive function was measured using the Montreal Cognitive Assessment. Results: The overall participant model, adjusted for age, BMI, education, and monthly average income, found that light physical activity (β=0.006, p<0.01), moderate-vigorous physical activity (β=0.068, p<0.001), and total physical activity (β=0.006, p<0.01) had a significant linear relationship with cognitive ability, while sedentary time did not (β=-0.020, p＞0.05). Further, light physical activity only affects the cognitive ability of elderly females (β=0.006, p<0.05). There was an inverted ‘U’ association between moderate-vigorous physical activity and cognitive ability. The association models found that moderate-vigorous physical activity in the 22.13 min·day–1～38.79 min·day–1 range affected cognitive ability most beneficially, with the highest beta coefficient among all groups (β=0.091, p<0.05). Conclusions: While physical activity can significantly improve cognitive ability among the elderly, sedentary behaviour is associated with decreased cognitive function across genders.

scholarly journals Relationships of Accelerometer-based Measured Objective Physical Activity and Sedentary Behaviour with Cognitive Function: A Comparative Cross-sectional Study of China’s Elderly Population

2020 ◽  
Author(s):  
Zhi jian Wu ◽  
Zhu ying Wang ◽  
Bing qian Hu ◽  
Xu hui Zhang ◽  
Fan Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cognitive Function ◽  
Cognitive Ability ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Light Physical Activity ◽  
Cross Sectional Survey ◽  
Cross Sectional

Abstract This study explored the effects of physical activity and sedentary behaviour on the decline of cognitive ability among the elderly. To compensate for the limitations of self-reported physical activity, objective measures were used. A cross-sectional survey of 308 aged people mean 68.66±5.377 years, in Nanjing, China, was conducted. Physical activity was measured using the ActiGraph GT3X+, and cognitive function was measured using the Montreal Cognitive Assessment. The overall participant model, adjusted for age, BMI, education, and monthly average income, found that light physical activity (β=0.006, p<0.01), moderate-vigorous physical activity (β=0.068, p<0.001), and total physical activity (β=0.006, p<0.01) had a significant linear relationship with cognitive ability, while sedentary time did not (β=-0.020, p＞0.05). Further, light physical activity only affects the cognitive ability of elderly females (β=0.006, p<0.05). There was an inverted ‘U’ association between moderate-vigorous physical activity and cognitive ability. The association models found that moderate-vigorous physical activity in the 22.13 min·day –1 ～38.79 min·day –1 range affected cognitive ability most beneficially, with the highest beta coefficient among all groups (β=0.091, p<0.05). In conclusion, while physical activity can significantly improve cognitive ability among the elderly, sedentary behaviour is associated with decreased cognitive function across genders.

scholarly journals Relationships of Accelerometer-based Measured Objective Physical Activity and Sedentary Behaviour with Cognitive Function: A Comparative Cross-sectional Study of China’s Elderly Population

2020 ◽  
Author(s):  
Zhi jian Wu ◽  
Zhu ying Wang ◽  
Bing qian Hu ◽  
Xu hui Zhang ◽  
Fan Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cognitive Function ◽  
Cognitive Ability ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Light Physical Activity ◽  
Cross Sectional Survey ◽  
Cross Sectional

Abstract This study explored the effects of physical activity and sedentary behaviour on the decline of cognitive ability among the elderly. To compensate for the limitations of self-reported physical activity, objective measures were used. A cross-sectional survey of 308 aged people mean 68.66±5.377 years, in Nanjing, China, was conducted. Physical activity was measured using the ActiGraph GT3X+, and cognitive function was measured using the Montreal Cognitive Assessment. The overall participant model, adjusted for age, BMI, education, and monthly average income, found that light physical activity (β=0.006, p<0.01), moderate-vigorous physical activity (β=0.068, p<0.001), and total physical activity (β=0.006, p<0.01) had a significant linear relationship with cognitive ability, while sedentary time did not (β=-0.020, p＞0.05). Further, light physical activity only affects the cognitive ability of elderly females (β=0.006, p<0.05). There was an inverted ‘U’ association between moderate-vigorous physical activity and cognitive ability. The association models found that moderate-vigorous physical activity in the 22.13 min·day –1 ～38.79 min·day –1 range affected cognitive ability most beneficially, with the highest beta coefficient among all groups (β=0.091, p<0.05). In conclusion, while physical activity can significantly improve cognitive ability among the elderly, sedentary behaviour is associated with decreased cognitive function across genders.

scholarly journals The Associations Between Socioeconomic Status and Lifestyle Factors in European Adolescents: A Population-based Study

2017 ◽  
Vol 57 (2) ◽  
pp. 111-124
Author(s):  
Dario Novak ◽  
Štefan Lovro ◽  
Branislav Antala ◽  
Arunas Emeljanovas ◽  
Brigita Mieziene ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Psychological Distress ◽  
Sedentary Behaviour ◽  
Mediterranean Diet ◽  
Vigorous Physical Activity ◽  
Lifestyle Factors ◽  
Cross Sectional ◽  
Independent Variables ◽  
Self Rated Health

Abstract The main purpose of the present study was to determine the associations between socioeconomic status (SES) and lifestyle factors. In this cross-sectional study, participants were 3,072 adolescents from two European countries of Lithuania and Serbia. The dependent variable was SES, while independent variables were gender, adherence to a Mediterranean diet, body-mass index, self-rated health, psychological distress, moderate-to-vigorous physical activity and sedentary behaviour. The associations between dependent and independent variables were analysed by using logistic regression analysis. In univariate model, middle/high SES was associated with higher adherence to a Mediterranean diet (ptrend = 0.003), good self-rated health (OR 1.51; 95 % CI 1.12 to 2.05) and meeting recommendations of moderate-to-vigorous physical activity (OR 2.09; 95 % CI 1.45 to 3.00), yet inversely associated with psychological distress (OR 0.81; 95 % CI 0.66 to 0.99) and sedentary behaviour (OR 0.80; 95 % CI 0.68 to 0.94). No associations were found between SES and bodymass index and gender. In multivariate model, the same associations occurred between middle/high SES and lifestyle factors. In conclusion, special strategies and policies, based on more affordable nutrition and participation in moderate-to-vigorous physical activity, should be implemented within the system.

scholarly journals Correlates of Objectively Measured Physical Activity Among People With Multiple Sclerosis: A Cross-Sectional Study

2021 ◽  
Vol 2 ◽  
Author(s):  
Jennifer Fortune ◽  
Meriel Norris ◽  
Andrea Stennett ◽  
Cherry Kilbride ◽  
Grace Lavelle ◽  
...  
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Light Physical Activity ◽  
Cross Sectional ◽  
Walking Capacity ◽  
Relapsing Remitting ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Background: Identifying correlates of physical activity (PA) for people with multiple sclerosis (MS) is essential to design effective PA interventions.Methods: Participants completed a battery of questionnaires and wore an ActiGraph accelerometer. Light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) (min/day) were calculated. Associations were examined using multiple linear regression adjusted for demographic and clinical confounders.Results: Fifty-eight adults with MS participated (mean ± SD age: 56.8 ± 9.2 yr; 67% women). MS type was associated with time in LPA. Participants with secondary progressive MS (B = −54.0, 95% CI −84.7 to −23.3) and primary progressive MS (B = −42.9, 95% CI −77.5 to −8.3) spent less time in LPA than those with relapsing remitting MS. Walking capacity, assessed using the 12-item MS walking scale (MSWS-12), was associated with time in MVPA (B = −0.36, 95% CI −0.72 to −0.01).Conclusion: This work identifies walking capacity and type of MS as correlates of PA, which may indicate development of interventions to promote PA.

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.

Goldilocks Days: optimising children’s time use for health and well-being

2021 ◽  
pp. jech-2021-216686
Author(s):  
Dorothea Dumuid ◽  
Timothy Olds ◽  
Katherine Lange ◽  
Ben Edwards ◽  
Kate Lycett ◽  
...  
Keyword(s):  
Physical Activity ◽  
Time Use ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Well Being ◽  
Psychosocial Health ◽  
Light Physical Activity ◽  
Cross Sectional ◽  
Interactive Interface ◽  
Nationally Representative

BackgroundOne size rarely fits all in population health. Differing outcomes may compete for best allocations of time. Among children aged 11–12 years, we aimed to (1) describe optimal 24-hour time use for diverse physical, cognitive/academic and well-being outcomes, (2) pinpoint the ‘Goldilocks Day’ that optimises all outcomes and (3) develop a tool to customise time-use recommendations.MethodsIn 2004, the Longitudinal Study of Australian Children recruited a nationally-representative cohort of 5107 infants with biennial follow-up waves. We used data from the cross-sectional Child Health CheckPoint module (2015–2016, n=1874, 11–12 years, 51% males). Time use was from 7-day 24-hour accelerometry. Outcomes included life satisfaction, psychosocial health, depressive symptoms, emotional problems, non-verbal IQ; vocabulary, academic performance, adiposity, fitness, blood pressure, inflammatory biomarkers, bone strength. Relationships between time use and outcomes were modelled using compositional regression.ResultsOptimal daily durations varied widely for different health outcomes (sleep: 8.3–11.4 hours; sedentary: 7.3–12.2 hours; light physical activity: 1.7–5.1 hours; moderate-to-vigorous physical activity (MVPA): 0.3–2.7 hours, all models p≤0.04). In general, days with highest physical activity (predominantly MVPA) and low sedentary time were optimal for physical health, while days with highest sleep and lowest sedentary time were optimal for mental health. Days with highest sedentary time and lowest physical activity were optimal for cognitive health. The overall Goldilocks Day had 10 hours 21 min sleep, 9 hours 44 min sedentary time, 2 hours 26 min light physical activity and 1 hour 29 min MVPA. Our interactive interface allows personalisation of Goldilocks Days to an individual’s outcome priorities.Conclusion‘Goldilocks Days’ necessitate compromises based on hierarchies of priorities for health, social and economic outcomes.

Physiological and health implications of a sedentary lifestyle

2010 ◽  
Vol 35 (6) ◽  
pp. 725-740 ◽  
Author(s):  
Mark Stephen Tremblay ◽  
Rachel Christine Colley ◽  
Travis John Saunders ◽  
Genevieve Nissa Healy ◽  
Neville Owen
Keyword(s):  
Physical Activity ◽  
Health Outcomes ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Exercise Physiology ◽  
Self Report ◽  
Future Research ◽  
Major Health ◽  
Sedentary Behaviours ◽  
Key Terms

Sedentary behaviour is associated with deleterious health outcomes, which differ from those that can be attributed to a lack of moderate to vigorous physical activity. This has led to the field of “sedentary physiology”, which may be considered as separate and distinct from exercise physiology. This paper gives an overview of this emerging area of research and highlights the ways that it differs from traditional exercise physiology. Definitions of key terms associated with the field of sedentary physiology and a review of the self-report and objective methods for assessing sedentary behaviour are provided. Proposed mechanisms of sedentary physiology are examined, and how they differ from those linking physical activity and health are highlighted. Evidence relating to associations of sedentary behaviours with major health outcomes and the population prevalence and correlates of sedentary behaviours are reviewed. Recommendations for future research are proposed.

scholarly journals College Athletic Trainers’ Perceptions of Rest and Physical Activity When Managing Athletes With a Sport-Related Concussion

2020 ◽  
pp. 1-6
Author(s):  
Kyle M. Petit ◽  
Tracey Covassin
Keyword(s):  
Physical Activity ◽  
Clinical Practice ◽  
Athletic Trainers ◽  
Vigorous Physical Activity ◽  
Management Approach ◽  
Clinical Practices ◽  
Light Physical Activity ◽  
Cross Sectional ◽  
National Athletic Trainers Association ◽  
Research Recommendations

Context: Cognitive and physical rest are commonly utilized when managing a sport-related concussion (SRC); however, emerging research now suggests that excessive rest may negatively impact recovery. Despite current research recommendations, athletic trainers (ATs) may be behind in implementing this emerging research into clinical practice. Objective: To assess college ATs’ perceptions and implementation of an emerging SRC management approach (cognitive and physical rest and activity). Design: Cross-sectional study. Setting: Survey. Participants: A total of 122 (11.8%) ATs (53.3% female; 10.8 [9.8] y experience; 8.7 [6.9] SRCs managed annually) responded to the survey, which was randomly distributed to 1000 members of the National Athletic Trainers’ Association, as well as 31 additional ATs from varying universities. Main Outcome Measures: A 5-point Likert scale assessed the ATs’ perceptions and clinical practices as they relate to specific athlete behaviors (ie, texting, sleeping). The ATs were asked about their willingness to incorporate physical activity into clinical practice. Results: Playing video games (95.9%) and practicing (93.4%) were the activities most perceived to extend SRC recovery. However, sleeping more than usual (7.4%) and increased time in a dark environment (11.5%) were viewed as less likely to extend recovery. ATs restricted practicing (98.4%) and working out (91.8%) for athletes with SRC, while sleeping more than usual (6.6%) and increased time in a dark environment (13.1%) were less restricted. About 71% of the ATs would implement light physical activity for athletes with a symptom score of 1 to 5, 31% with scores of 6 to 10, and 15% with scores of 11 to 20. About 43%, 74%, and 97% believe that light, moderate, and vigorous physical activity, while symptomatic, will extend recovery, respectively. Conclusions: The ATs were receptive to including light physical activity into their SRC management, although only in certain situations. However, most ATs’ beliefs and clinical practices did not completely align with emerging research recommendations for the management of SRCs.

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