scholarly journals Excess Mortality, Causes of Death and Life Expectancy in 270,770 Patients with Recent Onset of Mental Disorders in Denmark, Finland and Sweden

PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e55176 ◽  
Author(s):  
Merete Nordentoft ◽  
Kristian Wahlbeck ◽  
Jonas Hällgren ◽  
Jeanette Westman ◽  
Urban Ösby ◽  
...  
1965 ◽  
Vol 59 (10) ◽  
pp. 333-338
Author(s):  
Eugene Rogot

A follow-up study of 11,732 persons first registered as legally blind in Massachusetts during the twenty-year period, 1940-1959, was conducted in order to determine survivorship patterns and causes of death among the blind. This paper reports findings for 5,976 blind persons who were sixty-five years of age or older at the time of registration. Life-expectancy values calculated for single years of age from sixty-five to ninety showed that blind males had lower values than the general population over most of this age range; differences in life-expectancy were roughly two years for ages sixty-five to seventy-two, about one year for ages seventy-three to seventy-nine, and essentially no difference for ages eighty to ninety. The pattern for females was very similar to that for males. The largest differences according to major causes of blindness were for diabetes with blind males age sixty-five and over having an observed life-expectancy almost four years less than expected, and blind females age sixty-five and over having a life-expectancy 4.8 years less than expected. For blind males as well as for blind females age sixty-five and over, excess mortality due to diabetes was particularly noted.


The Lancet ◽  
2019 ◽  
Vol 394 (10211) ◽  
pp. 1784-1786
Author(s):  
Kristina Adorjan ◽  
Peter Falkai

2018 ◽  
Vol 22 (1) ◽  
pp. 17-22 ◽  
Author(s):  
John A Naslund ◽  
Kelly A Aschbrenner

Persons with severe mental disorders (SMDs) experience dramatically reduced life expectancy compared with the general population. We consider the role of digital technologies for addressing this serious public health concern. In this clinical review, we apply the multilevel risk model recently introduced by the WHO to conceptualise how digital technology can support efforts to reduce excess mortality risk at the individual, health system and social determinants of health levels. In particular, digital technologies show promise for targeting preventable physical health conditions in persons with SMDs. However, evidence on the use of these technologies for addressing early mortality risk factors is lacking. At the individual level, digital interventions show promise for managing mental health symptoms, promoting healthy lifestyle behaviours and targeting substance use concerns. At the health system level, digital interventions can support care coordination, clinician training, screening and monitoring health indices and shared decision-making. At the social determinants of health level, digital interventions can facilitate opportunities to engage peers for illness self-management and health promotion and for delivering and/or augmenting supported employment programmes. The time is ripe to capitalise on early evidence to support future development, testing and delivery of effective digital efforts targeting risk factors that contribute to shorter life expectancy in persons with SMDs. Key challenges and opportunities for future research include increasing user engagement, involving users during development and testing of digital interventions, carefully considering risks/harms and rigorously evaluating effectiveness and costs to support the scalability and sustainability of promising digital approaches.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S17-S18
Author(s):  
Oleguer Plana-Ripoll ◽  
Nanna Weye ◽  
Natalie Momen ◽  
Maria Christensen ◽  
Kim Iburg ◽  
...  

Abstract Background People with mental disorders have increased mortality rates and reduced life expectancies. We recently found that, compared to the general population, men and women with any mental disorder experienced 10 and 7 years, respectively, of life-years lost (LYLs), a new metric to estimate reduced life expectancy that takes into account the age of onset of the disorder. Our aim is to examine changes in mortality rate ratios (MRRs) and LYLs for both external and natural causes over twenty years for a comprehensive range of mental disorders, including schizophrenia spectrum disorder. Methods We conducted a cohort study comprising all 7,369,926 people living in Denmark in 1995–2015. Information on mental disorders and mortality was obtained from national registers. We looked at all mental disorders combined and specific groups of diagnoses as defined by the ICD-10 F-subchapters (substance use disorders, schizophrenia spectrum disorder, mood disorders, neurotic disorders, etc.) and classified causes of death into natural and external causes. We estimated MRRs using Poisson regression models, adjusting for sex and age and including an interaction term with calendar time. Differences in remaining life expectancy after disease diagnosis were estimated as excess LYLs (divided into LYLs due to natural and external causes of death) between those with each disorder and the general Danish population (matched on sex and age) for specific periods separately (1995–1999, 2000–2004, 2005–2009, 2010–2015). Results Over the period of observation, mortality rates decreased for those with any diagnosed mental disorder, as well as for those without a diagnosis. Despite these improvements, the MRRs between the two groups increased from 2.38 (95% CI: 2.32–2.44) in 1995 to 2.60 (95% CI: 2.55–2.65) in 2015. For external causes of death, MRRs decreased from 6.64 (95% CI: 6.15–7.17) to 5.27 (95% CI: 4.87–5.70), while MRRs for natural causes increased from 2.19 (95% CI: 2.14–2.25) to 2.52 (95% CI: 2.47–2.56). Remaining life expectancy after disease diagnosis increased 4.6 years from 32.0 to 36.6 years; however, remaining life expectancy increased also in the matched general population of same age and sex by 3.2 years (from 41.7 to 44.9 years). The life expectancy gap between the two periods was therefore shortened by 1.4 years; excess LYLs were 9.7 years in 1995–1999 (5.8/3.8 years due to natural/external causes) and 8.3 years in 2010–2015 (6.6/1.7 years due to natural/external causes). When looking at specific mental disorders, the life expectancy gap was reduced for mood disorders (0.8 years), neurotic disorders (1.7 years), and personality disorders (0.9 years); remained similar for schizophrenia spectrum disorder and substance use disorders; and increased for organic disorders (1.1 years). Discussion Mortality rates for people experiencing mental disorders decreased from 1995 to 2015. However, for natural causes of death, those with mental disorders did not reflect the benefits seen in the general population. Consequently, life lost due to natural causes increased. Overall, life expectancy increased an additional 1.4 years for those with mental disorders compared with the general population, thus reducing the gap. Nevertheless, for some disorders e.g. schizophrenia spectrum disorder and substance use disorders, life expectancy gap did not change. These findings support the hypothesis that service improvements have reduced mortality due to suicide and accidents, but similar benefits are not apparent in natural causes of death, which suggests that interventions related to promoting a healthier lifestyle and optimizing the general medical care of those with mental disorders warrants added investment.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Oleguer Plana-Ripoll ◽  
John J McGrath

Abstract Background Comorbidity within mental disorders is common, and people with two or more types of mental disorders have shorter life expectancy compared to those with exactly one type. The aims of this study were to: (a) describe the prevalence of combinations of mental disorders; and (b) estimate the excess mortality for each of these combinations. Methods We conducted a population-based cohort study including all 7,505,576 persons living in Denmark in 1995-2016. Using national registers, we described the most common combinations of mental disorders and investigated excess mortality by means of mortality rate ratios (MRRs) and differences in life expectancy. Results At the end of the 22-year observation, 6.2% individuals were diagnosed with exactly one disorder, and 5.3% with two or more types. People with any combination of disorders had higher mortality rates than those without any diagnosis (MRRs ranging from 1.10 [95% CI 0.67 – 1.84] to 5.97 [95% CI 5.52 – 6.45]) and shorter life expectancies compared to the general population (estimates ranging from 5.06 years [95% CI 5.01 – 5.11] to 17.46 years [95% CI 16.86 – 18.03]). Conclusions Mood disorders and neurotic disorders commonly co-occur, and contribute to many different sets of comorbid mental disorders. The association between mental disorders comorbidity and mortality revealed the prominent role of substance use disorders. Key messages Our study provides prevalence estimates of the most common sets of mental disorders. In light of the substantial contribution of substance use disorders to premature mortality, efforts related to the ‘primary prevention of secondary comorbidity’ warrant added scrutiny.


2003 ◽  
pp. 15-31 ◽  
Author(s):  
Seppo Koskinen ◽  
Tuija Martelin

Life expectancy has been substantially longer among the Swedish-speaking Finnsthan in the rest of the population. The relative mortality difference appears to beparticularly marked among the middle-aged. This study examines the possible reasonsfor this mortality difference.The mortality advantage of the Swedish-speaking Finns is connected with their morefavorable geographic location and socioeconomic position. For women these factorsexplain all of the mortality difference but among men two-thirds of the original difference,a 20% excess mortality of the Finnish-speaking majority, persists after adjustingfor the structural differences. In men, the main part of the mortality differenceresults from factors responsible for excess mortality of the Finnish-speaking populationfrom cardiovascular diseases and non-natural causes of death. A similar mortalitycontrast is seen in women as well, but it is compensated by other causes of deathwhich are more common among Swedish-speaking than among Finnish-speakingwomen.


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