Associations between daily step count trajectories and clinical outcomes among adults with comorbid obesity and depression
Tài liệu tham khảo
Andrade-Lima, 2020, The role of physical activity in the association between multimorbidity and depressive symptoms: Data from 60,202 adults from the Brazilian National Health Survey, Journal of Psychosomatic Research, 134, 10.1016/j.jpsychores.2020.110122
Balbim, 2021, Using Fitbit as an mHealth intervention tool to promote physical activity: Potential challenges and solutions, JMIR mHealth and uHealth, 9, 10.2196/25289
Bergman, 2020, No one accelerometer-based physical activity data collection protocol can fit all research questions, BMC Medical Research Methodology, 20, 141, 10.1186/s12874-020-01026-7
Box, 1964, An analysis of transformations, Journal of the Royal Statistical Society: Series B, 26, 211
Chen, 2017, Quantifying infinite-dimensional data: Functional data analysis in action, Statistics in Biosciences, 9, 582, 10.1007/s12561-015-9137-5
Ciechanowski, 2004, Community-integrated home-based depression treatment in older adults, JAMA, 291, 1569, 10.1001/jama.291.13.1569
Cooke, 2020, A trajectory analysis of daily step counts during a physician-delivered intervention, Journal of Science and Medicine in Sport, 23, 962, 10.1016/j.jsams.2020.04.010
Dekker, 2019, Exercise in people with comorbidity or multimorbidity, Health Psychology, 38, 822, 10.1037/hea0000750
2002, The diabetes prevention program (DPP), Diabetes Care, 25, 2165, 10.2337/diacare.25.12.2165
Feehan, 2018, Accuracy of Fitbit devices: Systematic review and narrative syntheses of quantitative data, JMIR mHealth and uHealth, 6, 10.2196/10527
Germini, 2022, Accuracy and acceptability of wrist-wearable activity-tracking devices: Systematic review of the literature, Journal of Medical Internet Research, 24, 10.2196/30791
Glass, 1978, Psychiatric screening in a medical clinic, Archives of General Psychiatry, 35, 1189, 10.1001/archpsyc.1978.01770340039003
Goldberg, 1976, A comparison of two psychiatric screening tests, British Journal of Psychiatry, 129, 61, 10.1192/bjp.129.1.61
Hooker, 2020, Do physical activity, caloric intake, and sleep vary together day to day? Exploration of intraindividual variability in 3 key health behaviors, Journal of Physical Activity and Health, 17, 45, 10.1123/jpah.2019-0207
Imes, 2018, Group-based trajectory analysis of physical activity change in a US weight loss intervention, Journal of Physical Activity and Health, 15, 840, 10.1123/jpah.2017-0484
Jakicic, 2019, Association between bout duration of physical activity and health: Systematic review, Medicine & Science in Sports & Exercise, 51, 1213, 10.1249/MSS.0000000000001933
King, 2018, Multimorbidity trends in United States adults, 1988–2014, The Journal of the American Board of Family Medicine, 31, 503, 10.3122/jabfm.2018.04.180008
Kivimäki, 2017, Overweight, obesity, and risk of cardiometabolic multimorbidity: Pooled analysis of individual-level data for 120 813 adults from 16 cohort studies from the USA and europe, The Lancet Public Health, 2, e277, 10.1016/S2468-2667(17)30074-9
Lebenbaum, 2018, Trends in obesity and multimorbidity in Canada, Preventive Medicine, 116, 173, 10.1016/j.ypmed.2018.08.025
Lv, 2020, The ENGAGE-2 study: Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomes in a randomized controlled trial (Phase 2), Contemporary Clinical Trials, 95, 10.1016/j.cct.2020.106072
Lv, 2022, Mediating effects of neural targets on depression, weight, and anxiety outcomes of an integrated collaborative care intervention: The ENGAGE-2 mechanistic pilot randomized clinical trial, Biological Psychiatry Global Open Science, 10.1016/j.bpsgos.2022.03.012
Lv, 2022, Integrated behavioral interventions for adults with comorbid obesity and depression: A systematic review, Current Diabetes Reports, 22, 157, 10.1007/s11892-022-01458-z
Ma, 2017, Profiles of sociodemographic, behavioral, clinical and psychosocial characteristics among primary care patients with comorbid obesity and depression, Preventive Medicine Reports, 8, 42, 10.1016/j.pmedr.2017.07.010
Ma, 2013, Translating the diabetes prevention program lifestyle intervention for weight loss into primary care, JAMA Internal Medicine, 173, 113, 10.1001/2013.jamainternmed.987
Meier, 2020, Fitting user-specified models with group lasso penalty
Nicolai, 2010, Day-to-day variability of physical activity of older adults living in the community, Journal of Aging and Physical Activity, 18, 75, 10.1123/japa.18.1.75
Pearce, 2022, Association between physical activity and risk of depression: A systematic review and meta-analysis, JAMA Psychiatry, 79, 550, 10.1001/jamapsychiatry.2022.0609
Pereira-Miranda, 2017, Overweight and obesity associated with higher depression prevalence in adults: A systematic review and meta-analysis, Journal of the American College of Nutrition, 36, 223, 10.1080/07315724.2016.1261053
Pratt, 2014, 1941
Read, 2017, Multimorbidity and depression: A systematic review and meta-analysis, Journal of Affective Disorders, 221, 36, 10.1016/j.jad.2017.06.009
Ringeval, 2020, Fitbit-based interventions for healthy lifestyle outcomes: Systematic review and meta-analysis, Journal of Medical Internet Research, 22, 10.2196/23954
Saeb, 2015, Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: An exploratory study, Journal of Medical Internet Research, 17, e175, 10.2196/jmir.4273
Smith, 2021, Interventions for improving outcomes in patients with multimorbidity in primary care and community setting: A systematic review, Systematic Reviews, 10, 10.1186/s13643-021-01817-z
Spitzer, 2006, A brief measure for assessing generalized anxiety disorder, Archives of Internal Medicine, 166, 1092, 10.1001/archinte.166.10.1092
Srivastava, 2021, Interaction of physical activity on the association of obesity-related measures with multimorbidity among older adults: A population-based cross-sectional study in India, BMJ Open, 11, 10.1136/bmjopen-2021-050245
St Fleur, 2020, Use of Fitbit devices in physical activity intervention studies across the life course: Narrative review, JMIR mHealth and uHealth, 9, 10.2196/23411
Stoll, 2019, Multimorbidity in randomized controlled trials of behavioral interventions: A systematic review, Health Psychology, 38, 831, 10.1037/hea0000726
Swann, 2021, Updating goal-setting theory in physical activity promotion: A critical conceptual review, Health Psychology Review, 15, 34, 10.1080/17437199.2019.1706616
Toolkit, 2011
Wang, 2016, Functional data analysis, Annual Review of Statistics and Its Application, 3, 257, 10.1146/annurev-statistics-041715-033624
Wang, 2018, A systematic review of cost-of-illness studies of multimorbidity, Applied Health Economics and Health Policy, 16, 15, 10.1007/s40258-017-0346-6
Xu, 2019, Modeling temporal variation in physical activity using functional principal components analysis, Statistics in Biosciences, 11, 403, 10.1007/s12561-019-09237-3
Yao, 2003, Shrinkage estimation for functional principal component scores with application to the population kinetics of plasma folate, Biometrics, 59, 676, 10.1111/1541-0420.00078
Yao, 2005, Functional data analysis for sparse longitudinal data, Journal of the American Statistical Association, 100, 577, 10.1198/016214504000001745
Yuan, 2007, Model selection and estimation in the Gaussian graphical model, Biometrika, 94, 19, 10.1093/biomet/asm018
Zeitzer, 2017, Daily patterns of accelerometer activity predict changes in sleep, cognition, and mortality in older men, The Journals of Gerontology: Series A, 73, 682, 10.1093/gerona/glw250
Zeitzer, 2013, Phenotyping apathy in individuals with Alzheimer disease using functional principal component analysis, American Journal of Geriatric Psychiatry, 21, 391, 10.1016/j.jagp.2012.12.012
Zhou, 2022, Fdapace: Functional data analysis and empirical dynamics
