Title |
Depression and mortality in a longitudinal study: 1952–2011
|
---|---|
Published in |
Canadian Medical Association Journal, October 2017
|
DOI | 10.1503/cmaj.170125 |
Pubmed ID | |
Authors |
Stephen E. Gilman, Ewa Sucha, Mila Kingsbury, Nicholas J. Horton, Jane M. Murphy, Ian Colman |
Abstract |
Many studies have shown that depression increases mortality risk. We aimed to investigate the duration of time over which depression is associated with increased risk of mortality, secular trends in the association between depression and mortality, and sex differences in the association between depression and mortality. We conducted a cohort study of 3410 adults enrolled in 3 representative samples of a county in Atlantic Canada in 1952 (n = 1003), 1970 (n = 1203) or 1992 (n = 1402) (the Stirling County Study). Depression was measured using a diagnostic algorithm based on the presence of depressed mood and associated symptoms, duration of more than 1 month, and substantial impairment. Vital status of participants through 2011 was determined using probabilistic linkages to the Canadian Mortality Database. Depression was associated with a heightened risk of mortality among men during the 3 time periods of the study, with hazard ratios (HRs) of 2.90 (95% confidence interval [CI] 1.69-4.98) between 1952 and 1967, 1.97 (CI 1.34-2.89) between 1968 and 1990, and 1.52 (CI 1.09-2.13) between 1991 and 2011. Elevated risk of mortality was noted among women only between 1990 and 2011 (HR = 1.51; CI = 1.11-2.05). The association between depression and mortality persists over long periods of time and has emerged among women in recent decades, despite contemporaneous improvements in the treatment of depression and reduction of stigma associated with depression. Further research is needed to better understand the mechanisms involved. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 15 | 23% |
Saudi Arabia | 5 | 8% |
United States | 4 | 6% |
Spain | 2 | 3% |
Czechia | 1 | 2% |
Ireland | 1 | 2% |
France | 1 | 2% |
United Kingdom | 1 | 2% |
Norway | 1 | 2% |
Other | 3 | 5% |
Unknown | 30 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 49 | 77% |
Scientists | 8 | 13% |
Practitioners (doctors, other healthcare professionals) | 5 | 8% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 132 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 20 | 15% |
Student > Ph. D. Student | 18 | 14% |
Researcher | 18 | 14% |
Student > Master | 18 | 14% |
Student > Doctoral Student | 11 | 8% |
Other | 22 | 17% |
Unknown | 25 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 38 | 29% |
Psychology | 17 | 13% |
Neuroscience | 9 | 7% |
Nursing and Health Professions | 6 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
Other | 25 | 19% |
Unknown | 32 | 24% |