Objectively assessed sleep and physical activity in depression subtypes and its mediating role in their association with cardiovascular risk factors.
暂无分享,去创建一个
Sun J. Kang | M. Strippoli | K. Merikangas | M. Preisig | V. Zipunnikov | P. Vollenweider | K. Plessen | F. Lamers | A. Leroux | Wei Guo | J. Vaucher | D. Dey | J. Glaus | K. J. Plessen
[1] A. Duran,et al. Is Sedentary Behavior a Novel Risk Factor for Cardiovascular Disease? , 2022, Current Cardiology Reports.
[2] Peter B. Jones,et al. Longitudinal association between cardiovascular risk factors and depression in young people: a systematic review and meta-analysis of cohort studies , 2021, Psychological Medicine.
[3] K. Richter,et al. Wrist actigraphic approach in primary, secondary and tertiary care based on the principles of predictive, preventive and personalised (3P) medicine , 2021, EPMA Journal.
[4] J. Ordovás,et al. Genetics of Sleep and Insights into Its Relationship with Obesity. , 2021, Annual review of nutrition.
[5] J. Lane,et al. Genetically Proxied Diurnal Preference, Sleep Timing, and Risk of Major Depressive Disorder. , 2021, JAMA psychiatry.
[6] Chien-Yu Lin,et al. Sleep duration and timing are nonlinearly associated with depressive symptoms among older adults. , 2021, Sleep medicine.
[7] P. Tauler,et al. Association between Depression, Lifestyles, Sleep Quality, and Sense of Coherence in a Population with Cardiovascular Risk , 2021, Nutrients.
[8] O. Andreassen,et al. Associations between depression and cardiometabolic health: A 27-year longitudinal study , 2021, Psychological Medicine.
[9] B. Penninx,et al. The role of depressive symptoms and symptom dimensions in actigraphy-assessed sleep, circadian rhythm, and physical activity , 2021, Psychological Medicine.
[10] I. Hickie,et al. Irregular sleep-wake patterns in older adults with current or remitted depression. , 2020, Journal of affective disorders.
[11] J. Car,et al. Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling , 2020, JMIR mHealth and uHealth.
[12] Ravensara S. Travillian,et al. Five insights from the Global Burden of Disease Study 2019 , 2020, The Lancet.
[13] Conor Liston,et al. Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics , 2020, Neuropsychopharmacology.
[14] E. Fried,et al. Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations and etiologies , 2020, Human molecular genetics.
[15] S. Redline,et al. Sleep Irregularity and Risk of Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis. , 2020, Journal of the American College of Cardiology.
[16] M. Viana,et al. Depression subtypes and obesity in adults: A systematic review and meta‐analysis , 2019, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[17] Alex V. Rowlands,et al. GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data , 2019, Journal for the Measurement of Physical Behaviour.
[18] R. Burns,et al. Depressive symptoms and sleep problems as risk factors for heart disease: a prospective community study , 2019, Epidemiology and Psychiatric Sciences.
[19] A. Beekman,et al. Sleep, circadian rhythm, and physical activity patterns in depressive and anxiety disorders: A 2‐week ambulatory assessment study , 2019, Depression and anxiety.
[20] P. Zimmet,et al. The Circadian Syndrome: is the Metabolic Syndrome and much more! , 2019, Journal of internal medicine.
[21] D. Riemann,et al. Sleep, insomnia, and depression , 2019, Neuropsychopharmacology.
[22] A. Silvani. Sleep disorders, nocturnal blood pressure, and cardiovascular risk: A translational perspective , 2019, Autonomic Neuroscience.
[23] Susan M. Resnick,et al. Joint and Individual Representation of Domains of Physical Activity, Sleep, and Circadian Rhythmicity , 2019, Statistics in Biosciences.
[24] M. Walter,et al. The Role of Depressive Subtypes within the Neuroinflammation Hypothesis of Major Depressive Disorder , 2019, Neuroscience.
[25] Chia-Yen Chen,et al. Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults: A 2-Sample Mendelian Randomization Study , 2019, JAMA psychiatry.
[26] R. Heinzer,et al. Does sleep affect weight gain? Assessing subjective sleep and polysomnography measures in a population-based cohort study (CoLaus/HypnoLaus). , 2019, Sleep.
[27] Madhu Sudhan Atteraya,et al. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017 , 2018, The Lancet.
[28] F. Bellivier,et al. More comprehensive models are needed to understand how relative amplitude might affect wellbeing and risk of mood disorders. , 2018, The lancet. Psychiatry.
[29] Alejandro Lucia,et al. Exercise benefits in cardiovascular disease: beyond attenuation of traditional risk factors , 2018, Nature Reviews Cardiology.
[30] Jessica Berntson,et al. Cardiovascular Risk Factors as Differential Predictors of Incident Atypical and Typical Major Depressive Disorder in US Adults , 2018, Psychosomatic medicine.
[31] J. Pell,et al. Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank. , 2018, The lancet. Psychiatry.
[32] B. Penninx,et al. Metabolic syndrome in psychiatric patients: overview, mechanisms, and implications , 2018, Dialogues in clinical neuroscience.
[33] A. Carvalho,et al. Physical Activity and Incident Depression: A Meta-Analysis of Prospective Cohort Studies. , 2018, The American journal of psychiatry.
[34] M. Strippoli,et al. Partially distinct combinations of psychological, metabolic and inflammatory risk factors are prospectively associated with the onset of the subtypes of Major Depressive Disorder in midlife. , 2017, Journal of affective disorders.
[35] M. Strippoli,et al. Mood disorders and circulating levels of inflammatory markers in a longitudinal population-based study , 2017, Psychological Medicine.
[36] Y. Dauvilliers,et al. Depression and Hypersomnia: A Complex Association. , 2017, Sleep medicine clinics.
[37] M. Strippoli,et al. Prospective associations of depression subtypes with cardio-metabolic risk factors in the general population , 2017, Molecular Psychiatry.
[38] Carrie D. Patnode,et al. Behavioral Counseling to Promote a Healthful Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force , 2017, JAMA.
[39] Y. Bao,et al. Cooccurrence and bidirectional prediction of sleep disturbances and depression in older adults: Meta-analysis and systematic review , 2017, Neuroscience & Biobehavioral Reviews.
[40] Joseph Firth,et al. Physical activity and sedentary behavior in people with major depressive disorder: A systematic review and meta-analysis. , 2017, Journal of affective disorders.
[41] B. Penninx. Depression and cardiovascular disease: Epidemiological evidence on their linking mechanisms , 2017, Neuroscience & Biobehavioral Reviews.
[42] D. Mohr,et al. Major depressive disorder , 2016, Nature Reviews Disease Primers.
[43] B. Penninx,et al. Serum proteomic profiles of depressive subtypes , 2016, Translational psychiatry.
[44] Nobhojit Roy,et al. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition , 2015, The Lancet.
[45] Michael Catt,et al. A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer , 2015, PloS one.
[46] A. Hofman,et al. 24‐HOUR ACTIVITY RHYTHM AND SLEEP DISTURBANCES IN DEPRESSION AND ANXIETY: A POPULATION‐BASED STUDY OF MIDDLE‐AGED AND OLDER PERSONS , 2015, Depression and anxiety.
[47] S. Tufik,et al. Is the chronotype associated with obstructive sleep apnea? , 2015, Sleep and Breathing.
[48] Marie-Pierre F. Strippoli,et al. Associations between mood, anxiety or substance use disorders and inflammatory markers after adjustment for multiple covariates in a population-based study. , 2014, Journal of psychiatric research.
[49] B. Penninx,et al. Late-life depression symptom profiles are differentially associated with immunometabolic functioning , 2014, Brain, Behavior, and Immunity.
[50] M. Preisig,et al. Depression with atypical features and increase in obesity, body mass index, waist circumference, and fat mass: a prospective, population-based study. , 2014, JAMA psychiatry.
[51] Matthew P Buman,et al. Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005-2006. , 2014, American journal of epidemiology.
[52] P. Sienaert,et al. Metabolic syndrome and metabolic abnormalities in patients with major depressive disorder: a meta-analysis of prevalences and moderating variables , 2013, Psychological Medicine.
[53] M. Nakao,et al. Association of metabolic syndrome with atypical features of depression in Japanese people , 2013, Psychiatry and clinical neurosciences.
[54] Katharina Wulff,et al. Daily rest-activity patterns in the bipolar phenotype: A controlled actigraphy study , 2013, Chronobiology international.
[55] A. Beekman,et al. Evidence for a differential role of HPA-axis function, inflammation and metabolic syndrome in melancholic versus atypical depression , 2013, Molecular Psychiatry.
[56] K. Merikangas,et al. Atypical depression and alcohol misuse are related to the cardiovascular risk in the general population , 2012, Acta psychiatrica Scandinavica.
[57] M. Blackman,et al. Clinical Subtypes of Depression Are Associated with Specific Metabolic Parameters and Circadian Endocrine Profiles in Women: The Power Study , 2012, PloS one.
[58] P. Vöhringer,et al. The heterogeneity of depression: an old debate renewed , 2011, Acta psychiatrica Scandinavica.
[59] D. Kromhout,et al. Sleep duration and sleep quality in relation to 12-year cardiovascular disease incidence: the MORGEN study. , 2011, Sleep.
[60] I. Hickie,et al. Sleep disturbance in mild cognitive impairment: differential effects of current and remitted depression , 2011, Acta Neuropsychiatrica.
[61] S. Nowakowski,et al. Relationship of morningness–eveningness questionnaire score to melatonin and sleep timing, body mass index and atypical depressive symptoms in peri- and post-menopausal women , 2011, Psychiatry Research.
[62] Michael Catt,et al. Validation of the GENEA Accelerometer. , 2011, Medicine and science in sports and exercise.
[63] Elizabeth J. Mezick,et al. Are sleep and depression independent or overlapping risk factors for cardiometabolic disease? , 2011, Sleep medicine reviews.
[64] Daniel J Buysse,et al. Sleep symptoms predict the development of the metabolic syndrome. , 2010, Sleep.
[65] Lefkos Middleton,et al. The PsyCoLaus study: methodology and characteristics of the sample of a population-based survey on psychiatric disorders and their association with genetic and cardiovascular risk factors , 2009, BMC psychiatry.
[66] D. Vancampfort,et al. Metabolic syndrome in people with schizophrenia: a review , 2009, World psychiatry : official journal of the World Psychiatric Association.
[67] Vincent Mooser,et al. The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome , 2008, BMC cardiovascular disorders.
[68] A. Gamma,et al. Melancholia and atypical depression in the Zurich study: epidemiology, clinical characteristics, course, comorbidity and personality , 2007, Acta psychiatrica Scandinavica. Supplementum.
[69] A. Gamma,et al. Atypical depressive syndromes in varying definitions , 2006, European Archives of Psychiatry and Clinical Neuroscience.
[70] I. Antonijevic. Depressive disorders—is it time to endorse different pathophysiologies? , 2006, Psychoneuroendocrinology.
[71] U. Halbreich. Major depression is not a diagnosis, it is a departure point to differential diagnosis—clinical and hormonal considerations (A commentary and elaboration on Antonejevic's paper) , 2006, Psychoneuroendocrinology.
[72] Anne Newman,et al. Diabetes and sleep disturbances: findings from the Sleep Heart Health Study. , 2003, Diabetes care.
[73] D. Mackinnon,et al. Equivalence of the Mediation, Confounding and Suppression Effect , 2000, Prevention Science.
[74] J. Nurnberger,et al. Diagnostic interview for genetic studies. Rationale, unique features, and training. NIMH Genetics Initiative. , 1994, Archives of general psychiatry.
[75] J. Endicott,et al. A diagnostic interview: the schedule for affective disorders and schizophrenia. , 1978, Archives of general psychiatry.
[76] Sun J. Kang,et al. Processing of Accelerometry Data with GGIR in Motor Activity Research Consortium for Health , 2022, Journal for the Measurement of Physical Behaviour.
[77] W. K. Simmons,et al. Depression and obesity: evidence of shared biological mechanisms , 2018, Molecular Psychiatry.
[78] A. Leppävuori. [Depression and diabetes]. , 2010, Duodecim; laaketieteellinen aikakauskirja.
[79] M. Leboyer,et al. The reliability of the SADS-LA in a family study setting , 2005, European Archives of Psychiatry and Clinical Neuroscience.
[80] M. Preisig,et al. Diagnostic interview for genetic studies (DIGS): inter-rater and test-retest reliability of the French version , 1999, European Archives of Psychiatry and Clinical Neuroscience.
[81] D. A. Kenny,et al. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.