Social network determinants of depression

The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12 067 pe...

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Vydané v:	Molecular psychiatry Ročník 16; číslo 3; s. 273 - 281
Hlavní autori:	Rosenquist, J N, Fowler, J H, Christakis, N A
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 01.03.2011 Nature Publishing Group
Predmet:	692/699/476/1414 706/689/523 Adult Adult and adolescent clinical studies Aged Aged, 80 and over Behavioral Sciences Biological and medical sciences Biological Psychology Depression Depression - etiology Depression - psychology Depression, Mental Development and progression Ego Environmental factors Epidemiology Etiology Families & family life Female Genetic aspects Health care policy Humans Hypotheses Influence Longitudinal Studies Male Mathematical models Medical sciences Medicine Medicine & Public Health Mental depression Middle Aged Molecular Sequence Data Mood disorders Neurosciences Observation original-article Pharmacotherapy Probability Psychiatric Status Rating Scales Psychiatry Psychological aspects Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Risk factors Social networks Social organization Social Support Sociology Statistical analysis Suicides & suicide attempts United States United States > US depression social norms mood social networks sociology Mood disorder Depression Social network
ISSN:	1359-4184, 1476-5578, 1476-5578
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Abstract	The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12 067 people assessed repeatedly over 32 years as part of the Framingham Heart Study. Longitudinal statistical models were used to examine whether depressive symptoms in one person were associated with similar scores in friends, co-workers, siblings, spouses and neighbors. Depressive symptoms were assessed using CES-D scores that were available for subjects in three waves measured between 1983 and 2001. Results showed both low and high CES-D scores (and classification as being depressed) in a given period were strongly correlated with such scores in one's friends and neighbors. This association extended up to three degrees of separation (to one's friends’ friends’ friends). Female friends appear to be especially influential in the spread of depression from one person to another. The results are robust to multiple network simulation and estimation methods, suggesting that network phenomena appear relevant to the epidemiology of depression and would benefit from further study.
AbstractList	The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12067 people assessed repeatedly over 32 years as part of the Framingham Heart Study. Longitudinal statistical models were used to examine whether depressive symptoms in one person were associated with similar scores in friends, co-workers, siblings, spouses and neighbors. Depressive symptoms were assessed using CES-D scores that were available for subjects in three waves measured between 1983 and 2001. Results showed both low and high CES-D scores (and classification as being depressed) in a given period were strongly correlated with such scores in one's friends and neighbors. This association extended up to three degrees of separation (to one's friends' friends' friends). Female friends appear to be especially influential in the spread of depression from one person to another. The results are robust to multiple network simulation and estimation methods, suggesting that network phenomena appear relevant to the epidemiology of depression and would benefit from further study. The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12,067 people assessed repeatedly over 32 years as part of the Framingham Heart Study. Longitudinal statistical models were used to examine whether depressive symptoms in one person were associated with similar scores in friends, co-workers, siblings, spouses and neighbors. Depressive symptoms were assessed using CES-D scores that were available for subjects in three waves measured between 1983 and 2001. Results showed both low and high CES-D scores (and classification as being depressed) in a given period were strongly correlated with such scores in one's friends and neighbors. This association extended up to three degrees of separation (to one's friends' friends' friends). Female friends appear to be especially influential in the spread of depression from one person to another. The results are robust to multiple network simulation and estimation methods, suggesting that network phenomena appear relevant to the epidemiology of depression and would benefit from further study.The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12,067 people assessed repeatedly over 32 years as part of the Framingham Heart Study. Longitudinal statistical models were used to examine whether depressive symptoms in one person were associated with similar scores in friends, co-workers, siblings, spouses and neighbors. Depressive symptoms were assessed using CES-D scores that were available for subjects in three waves measured between 1983 and 2001. Results showed both low and high CES-D scores (and classification as being depressed) in a given period were strongly correlated with such scores in one's friends and neighbors. This association extended up to three degrees of separation (to one's friends' friends' friends). Female friends appear to be especially influential in the spread of depression from one person to another. The results are robust to multiple network simulation and estimation methods, suggesting that network phenomena appear relevant to the epidemiology of depression and would benefit from further study. The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12 067 people assessed repeatedly over 32 years as part of the Framingham Heart Study. Longitudinal statistical models were used to examine whether depressive symptoms in one person were associated with similar scores in friends, co-workers, siblings, spouses and neighbors. Depressive symptoms were assessed using CES-D scores that were available for subjects in three waves measured between 1983 and 2001. Results showed both low and high CES-D scores (and classification as being depressed) in a given period were strongly correlated with such scores in one's friends and neighbors. This association extended up to three degrees of separation (to one's friends’ friends’ friends). Female friends appear to be especially influential in the spread of depression from one person to another. The results are robust to multiple network simulation and estimation methods, suggesting that network phenomena appear relevant to the epidemiology of depression and would benefit from further study. The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12067 people assessed repeatedly over 32 years as part of the Framingham Heart Study. Longitudinal statistical models were used to examine whether depressive symptoms in one person were associated with similar scores in friends, co-workers, siblings, spouses and neighbors. Depressive symptoms were assessed using CES-D scores that were available for subjects in three waves measured between 1983 and 2001. Results showed both low and high CES-D scores (and classification as being depressed) in a given period were strongly correlated with such scores in one's friends and neighbors. This association extended up to three degrees of separation (to one's friends' friends' friends). Female friends appear to be especially influential in the spread of depression from one person to another. The results are robust to multiple network simulation and estimation methods, suggesting that network phenomena appear relevant to the epidemiology of depression and would benefit from further study. Molecular Psychiatry (2011) 16, 273-281; doi:10.1038/mp.2010.13; published online 16 March 2010 Keywords: depression; social networks; sociology; social norms; mood
Audience	Academic
Author	Christakis, N A Rosenquist, J N Fowler, J H
AuthorAffiliation	4 Department of Health Care Policy, Harvard Medical School, Cambridge, MA, USA 5 Department of Sociology, Harvard University, Cambridge, MA, USA 3 Department of Political Science, University of California, San Diego, CA, USA 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA 2 Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
AuthorAffiliation_xml	– name: 2 Department of Health Care Policy, Harvard Medical School, Boston, MA, USA – name: 4 Department of Health Care Policy, Harvard Medical School, Cambridge, MA, USA – name: 5 Department of Sociology, Harvard University, Cambridge, MA, USA – name: 3 Department of Political Science, University of California, San Diego, CA, USA – name: 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
Author_xml	– sequence: 1 givenname: J N surname: Rosenquist fullname: Rosenquist, J N email: jrosenqu@gmail.com organization: Department of Psychiatry, Massachusetts General Hospital, Boston, Department of Health Care Policy, Harvard Medical School, Boston – sequence: 2 givenname: J H surname: Fowler fullname: Fowler, J H organization: Department of Political Science, University of California – sequence: 3 givenname: N A surname: Christakis fullname: Christakis, N A organization: Department of Health Care Policy, Harvard Medical School, Cambridge, Department of Sociology, Harvard University
BackLink	http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23948272$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/20231839$$D View this record in MEDLINE/PubMed
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Snippet	The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person...
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Title	Social network determinants of depression
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