Social network determinants of depression

• Published in: Molecular psychiatry Vol. 16; no. 3; pp. 273 - 281
• Main Authors: Rosenquist, J N, Fowler, J H, Christakis, N A
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.03.2011; Nature Publishing Group
• Subjects: 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
• DOI: 10.1038/mp.2010.13

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.