Sedentary behaviour is associated with depression symptoms: Compositional data analysis from a representative sample of 3233 US adults and older adults assessed with accelerometers
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Abe, 2019, Additive effect of physical activity and sedentary time on depressive symptoms in rural Japanese adults: a cross-sectional study, J. Epidemiol., 29, 227, 10.2188/jea.JE20180017
Biswas, 2015, Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis, Ann. Intern. Med., 162, 123, 10.7326/M14-1651
Carson, 2016, Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses, Appl. Physiol. Nutr. Metab., 41, S294, 10.1139/apnm-2016-0026
Chastin, 2015, Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: a novel compositional data analysis approach, PLoS ONE, 10, 10.1371/journal.pone.0139984
Duque, 2017, Accuracy of cotinine serum test to detect the smoking habit and its association with periodontal disease in a multicenter study, Med. Oral Patol. Oral Cir. Bucal, 22, e425
Golubic, 2015, Physical activity, sedentary time and gain in overall and central body fat: 7-year follow-up of the proactive trial cohort, Int. J. Obes., 39, 142, 10.1038/ijo.2014.66
Mc Dowell, 2018, Associations of self-reported physical activity and depression in 10,000 Irish adults across harmonised datasets: a DEDIPAC-study, BMC Public Health, 18, 779, 10.1186/s12889-018-5702-4
McGregor, 2018, Compositional analysis of the associations between 24-h movement behaviours and health indicators among adults and older adults from the Canadian health measure survey, Int. J. Environ. Res. Public Health, 15, 10.3390/ijerph15081779
Palarea-Albaladejo, 2015, zCompositions — R package for multivariate imputation of left-censored data under a compositional approach, Chemom. Intell. Lab. Syst., 143, 85, 10.1016/j.chemolab.2015.02.019
Pawlowsky-Glahn, 2015, Modell. Anal. Compositional Data, 10.1002/9781119003144
Rebar, 2015, A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations, Health Psychol. Rev., 9, 366, 10.1080/17437199.2015.1022901
Schuch, 2018, Physical activity and incident depression: a meta-analysis of prospective cohort studies, Am. J. Psychiatry, 175, 631, 10.1176/appi.ajp.2018.17111194
Theou, 2017, Association between sedentary time and mortality across levels of frailty, CMAJ, 189, E1056, 10.1503/cmaj.161034
Tomitaka, 2018, Distributional patterns of item responses and total scores on the PHQ-9 in the general population: data from the national health and nutrition examination survey, BMC Psychiatry, 18, 108, 10.1186/s12888-018-1696-9
van den Boogaart, 2008, “compositions”: a unified R package to analyze compositional data, Comput. Geosci., 34, 320, 10.1016/j.cageo.2006.11.017
Violani, 2004, Validity of a short insomnia questionnaire: the SDQ, Brain Res. Bull., 63, 415, 10.1016/j.brainresbull.2003.06.002
Yasunaga, 2018, Cross-sectional associations of sedentary behaviour and physical activity on depression in Japanese older adults: an isotemporal substitution approach, BMJ Open, 8, 10.1136/bmjopen-2018-022282
Zhai, 2015, Sleep duration and depression among adults: a meta-analysis of prospective studies, Depress. Anxiety, 32, 664, 10.1002/da.22386
Zhai, 2015, Sedentary behaviour and the risk of depression: a meta-analysis, Br. J. Sports Med., 49, 705, 10.1136/bjsports-2014-093613
Zipf, 2013, National health and nutrition examination survey: plan and operations, 1999–2010, Vital Health Stat. 1, 56, 1