IMPORTANCEParkinson disease (PD) is an increasingly common neurodegenerative disorder in many aging societies. Although comorbidities with mental disorders are common in PD, whether PD is associated with an increased risk of suicide is unclear.OBJECTIVE To use a large national representative PD cohort to compare the risk of suicide in patients with PD and control participants and identify potential risk factors. DESIGN, SETTING, AND PARTICIPANTSThis nationwide population-based cohort study used linked data from Taiwan's National Health Insurance data set and Taiwan Death Registry between January 2002 and December 2016. Patients with incident PD diagnosed between January 2005 and December 2014 were followed up until December 2016. Four control participants from the general population were randomly selected by risk set sampling and were matched on age, sex, and residence to each affected individual. Data analysis occurred from June 2019 to October 2020. EXPOSURES Diagnosis of PD retrieved from the National Health Insurance data set. MAIN OUTCOMES AND MEASURES Suicide was recorded in the Taiwan Death Registry. Cox proportional models and hazard ratios (HRs) were used to estimate the association between PD and the risk of suicide over the follow-up period. RESULTS Over 11 years, 35 891 patients with PD were followed up (17 482 women [48.7%]; mean [SD] age, 72.5 [10.1] years) and matched to 143 557 control participants (69 928 women [48.7%]; mean [SD] age, 72.5 [10.1] years). A total of 151 patients with PD (cumulative incidence, 66.6 per 100 000 [95% confidence limits [CL], 78.1-91.7]) and 300 control participants (cumulative incidence, 32.3 per 100 000 [95% CL, 36.2-40.5]) died by suicide.The risk of suicide was higher (HR, 2.1 [95% CL, 1.7-2.5]) in patients with PD than control participants, after adjustment for markers of socioeconomic position, medical comorbidities, and dementia. After controlling for mental disorders, the association between PD and suicide risk remained (HR, 1.9 [95% CL, 1.6-2.3]). Compared with control participants who died by suicide, those who died by suicide in the PD group were slightly younger (mean [SD] age: patients with PD, 74.0 [10.4] years vs control participants, 76.0 [10.2] years; P = .05) and more likely to be urban dwelling (medium urbanization, 39 patients with PD [25.8%] vs 115 control participants [38.3%]; high urbanization, 84 patients with PD [55.6%] vs 136 control participants [45.3%]; P = .03), have mental disorders (depression, 15 of 151 patients with PD [9.9%] vs 15 of 300 control participants [5.0%]; other mental disorders, 12 patients with PD [8.0%] vs 11 control participants [3.7%]; P = .02), and adopt jumping as a method of suicide (21 patients with PD [13.9%] vs 16 control participants [5.3%]; P < .01). CONCLUSIONS AND RELEVANCEIn this population-based cohort study, Parkinson disease, a common neurodegenerative disorder common in elderly persons, was independently associated with an increased risk of suicide. Integrating mental health care into primary care and PD s...
Our study highlights that in France, among individuals older than 55 years-old and free of disability, around 25% are either frail or multimorbid; another 30% to 40% being pre-frail. Pre-frailty, frailty and multimorbidity are known to be associated with adverse health outcomes and important economic costs. The health system must adapt to respond to the needs of its aging population. In addition, given the efficient impact of prevention actions, our findings emphasize the need to implement prevention strategies against Frailty and multimorbidity in France.
Background Given the increasing burden of chronic conditions, multimorbidity is now a priority for healthcare and public health systems worldwide. Appropriate methodological approaches for assessing the phenomenon have not yet been established, resulting in inconsistent and incomplete descriptions. We aimed to estimate and characterize the burden of multimorbidity in the adult population in France in terms of number and type of conditions, type of underlying mechanisms, and analysis of the joint effects for identifying combinations with the most deleterious interaction effects on health status. Methods and findings We used a multistep approach to analyze cross-sectional and longitudinal data from 2 large nationwide representative surveys: 2010/2014 waves of the Health, Health Care, and Insurance Survey (ESPS 2010–2014) and Disability Healthcare Household Survey 2008 (HSM 2008), that collected similar data on 61 chronic or recurrent conditions. Adults aged ≥25 years in either ESPS 2010 (14,875) or HSM 2008 (23,348) were considered (participation rates were 65% and 62%, respectively). Longitudinal analyses included 7,438 participants of ESPS 2010 with follow-up for mortality (97%) of whom 3,798 were reinterviewed in 2014 (52%). Mortality, activity limitation, self-reported health, difficulties in activities/instrumental activities of daily living, and Medical Outcomes Study Short-Form 12-Item Health Survey were the health status measures. Multiple regression models were used to estimate the impact of chronic or recurrent conditions and multimorbid associations (dyads, triads, and tetrads) on health status. Etiological pathways explaining associations were investigated, and joint effects and interactions between conditions on health status measures were evaluated using both additive and multiplicative scales. Forty-eight chronic or recurrent conditions had an independent impact on mortality, activity limitations, or perceived heath. Multimorbidity prevalence varied between 30% (1-year time frame) and 39% (lifetime frame), and more markedly according to sex (higher in women), age (with greatest increases in middle-aged), and socioeconomic status (higher in less educated and low-income individuals and manual workers). We identified various multimorbid combinations, mostly involving vasculometabolic and musculoskeletal conditions and mental disorders, which could be explained by direct causation, shared or associated risk factors, or less frequently, confounding or chance. Combinations with the highest health impacts included diseases with complications but also associations of conditions affecting systems involved in locomotion and sensorial functions (impact on activity limitations), and associations including mental disorders (impact on perceived health). The interaction effects of the associated conditions varied on a continuum from subadditive and additive (associations involving cardiometabolic conditions, low back pain, osteoporosis, injury sequelae, depression, and anxiety) to multiplicative and supermultiplicative (associations involving obesity, chronic obstructive pulmonary disease, migraine, and certain osteoarticular pathologies). Study limitations included self-reported information on chronic conditions and the insufficient power of some analyses. Conclusions Multimorbidity assessments should move beyond simply counting conditions and take into account the variable impacts on health status, etiological pathways, and joint effects of associated conditions. In particular, the multimorbid combinations with substantial health impacts or shared risk factors deserve closer attention. Our findings also suggest that multimorbidity assessment and management may be beneficial already in midlife and probably earlier in disadvantaged groups.
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