Associations between the composition of daily time spent in physical activity, sedentary behaviour and sleep and risk of depression: Compositional data analyses of the 1970 British cohort Study

Blodgett, Joanna M.; Mitchell, John J.; Stamatakis, Emmanuel; Chastin, Sebastien; Hamer, Mark

doi:10.1016/j.jad.2022.09.110

Cited by 9 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The step cadence methods are feasible with any accelerometer providing researchers with a relatively simple method to estimate the association of duration of PA across intensities with health outcomes in freeliving samples. Prior studies have applied cadence thresholds to examine the association of PA intensities duration with various health outcomes [15][16][17][18][19][20][21] . For instance, a harmonized metaanalysis including 15 international accelerometry cohorts (13 waist, 1 thigh, 1 wrist) found that the association of the duration of moderate or higher intensity (defined as ≥ 100 steps/min) with mortality was attenuated after adjusting for total step counts, albeit remained significant 15 .…”

Section: Introductionmentioning

confidence: 99%

Comparing Cadence vs. Machine Learning based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity with Mortality

Wei,

Ahmadi,

Biswas

et al. 2024

Preprint

View full text Add to dashboard Cite

BackgroundStep cadence-based and machine-learning (ML) methods have been used to classify physical activity (PA) intensity in health-related research. This study examined the association of intensity-specific PA daily duration with all-cause (ACM) and CVD mortality varied among cadence-based and ML methods in 68,561 UK Biobank participants.MethodsThe two-stage-ML method categorized activity type and then intensity. The one-level-cadence method (1LC) derived intensity duration using all detected steps and cadence thresholds of ≥100 steps/min (moderate intensity) and ≥130 steps/min (vigorous intensity). The two-level-cadence method (2LC) detected ambulatory activities and then steps with the same cadence thresholds.ResultsThe 2LC exhibited the most pronounced association at the lower end of the duration, e.g., the 2LC showed the smallest minimum moderate-to-vigorous PA (MVPA) duration (amount associated with 50% of optimal risk reduction) (2LC vs 1LC vs ML, 2.8 minutes/day [95% CI: 2.6, 2.8] vs 11.1 [10.8, 11.4] vs 14.9 [14.6, 15.2]) while exhibiting similar corresponding ACM hazard ratio (HR) among methods (HR: 0.83 [95% CI: 0.78, 0.88] vs 0.80 [0.76, 0.85] vs 0.82 [0.76, 0.87]). The ML elicited the greatest mortality risk reduction, e.g., for VPA-ACM association, 2LC vs 1LC vs ML: median, 2.0 minutes/day [95% CI: 2.0, 2.0] vs 6.9 [6.9, 7.0] vs 3.2 [3.2, 3.2]; HR, 0.69 [0.61, 0.79] vs 0.68 [0.60, 0.77] vs 0.53 [0.44, 0.64]. After standardizing duration, the ML exhibited the most pronounced associations, e.g., for MPA-CVD mortality, 2LC vs 1LC vs ML, standardized minimum-duration: -0.77 vs - 0.85 vs -0.94; HR 0.82 [0.72, 0.92] vs 0.79 [0.69, 0.90] vs 0.77 [0.69, 0.85].ConclusionThe 2LC exhibited the most pronounced association with mortality at the lower end of the duration. The ML method provided the most pronounced association with mortality after standardizing the durations.

show abstract

Section: Introductionmentioning

confidence: 99%

Comparing Cadence vs. Machine Learning based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity with Mortality

Wei,

Ahmadi,

Biswas

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…It is suggested that modifiable factors such as diet, physical activity, stress, and sleep quality may play a role in mental health status [ 7 , 8 , 9 ]. The role of diet in depression and anxiety risk has been increasingly examined, with promising evidence that adherence to a Mediterranean diet (a dietary pattern based on the traditional diet of people living in the Mediterranean area) may decrease the risk.…”

Section: Introductionmentioning

confidence: 99%

Mediterranean-Style Diet and Other Determinants of Well-Being in Omnivorous, Vegetarian, and Vegan Women

et al. 2023

View full text Add to dashboard Cite

Due to the lack of studies comparing the determinants of well-being in omnivores and vegetarians, we examined associations of socio-demographic and lifestyle factors, including adherence to a Mediterranean-style diet, in relation to well-being in omnivorous, vegetarian, and vegan women. Well-being was assessed using a validated WHO-5 Well-Being Index. Adherence to the Mediterranean-style diet was determined using a modified Mediterranean diet score. The study was conducted on 636 women (23.9 ± 5.7 years), of whom 47.3% were omnivores, 33.2% vegetarians, and 19.5% vegans. The good well-being group (WHO-5 Index ≥ 13 points) comprised 30.9% of the omnivores, 46.0% of the vegetarians, and 57.3% of the vegans. The remaining participants were classified as belonging to the poor well-being group (<13 points). Compared to the omnivores, the vegetarians and vegans had a 1.6-fold (95% CI: 1.04–2.42) and a 2.4-fold (95% CI: 1.45–3.99) higher probability of having good well-being, respectively. In omnivores, the predictors of good well-being were adherence to the Mediterranean-style diet (a 1-score increment was associated with a 17% higher probability of good well-being, P-trend = 0.016), higher self-perceived health status, and lower levels of stress. In vegetarians and vegans, it was older age, higher physical activity (≥3 h/week), 7–8 h sleep time, and similarly to omnivores’ higher self-perceived health status and lower stress level. Our findings indicate that following a Mediterranean-style diet was associated with better well-being in omnivores. Furthermore, we identified that different determinants were associated with well-being in omnivorous and vegetarian and vegan women.

show abstract

Effects of a digital intervention on physical activity in adults: A randomized controlled trial in a large-scale sample

Fichtner,

Tinsel,

Sehlbrede

et al. 2024

Internet Interventions

View full text Add to dashboard Cite

Associations between the composition of daily time spent in physical activity, sedentary behaviour and sleep and risk of depression: Compositional data analyses of the 1970 British cohort Study

Cited by 9 publications

References 20 publications

Comparing Cadence vs. Machine Learning based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity with Mortality

Comparing Cadence vs. Machine Learning based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity with Mortality

Mediterranean-Style Diet and Other Determinants of Well-Being in Omnivorous, Vegetarian, and Vegan Women

Effects of a digital intervention on physical activity in adults: A randomized controlled trial in a large-scale sample

Contact Info

Product

Resources

About