scholarly journals The importance of harmonising diagnostic criteria sets for pathological grief

2019 ◽  
pp. 1-4 ◽  
Author(s):  
Lonneke I. M. Lenferink ◽  
Paul A. Boelen ◽  
Geert E. Smid ◽  
Muirne C. S. Paap

Summary Five diagnostic criteria sets for pathological grief are currently used in research. Studies evaluating their performance indicate that it is not justified to generalise findings regarding prevalence rates and predictive validity across studies using different diagnostic criteria of pathological grief. We provide recommendations to move the bereavement field forward.

2003 ◽  
Vol 182 (5) ◽  
pp. 449-454 ◽  
Author(s):  
Anja Busse ◽  
Jeannette Bischkopf ◽  
Steffi G. Riedel-Heller ◽  
Matthias C. Angermeyer

BackgroundAlthough mild cognitive impairment is associated with an increased risk of developing dementia, there has been little work on its incidence and prevalence.AimsTo report age-specific prevalence, incidence and predictive validities for four diagnostic concepts of mild cognitive impairment.MethodA community sample of 1045 dementia-free individuals aged 75 years and over was examined by neuropsychological testing in a three-wave longitudinal study.ResultsPrevalence rates ranged from 3% to 20%, depending on the concept applied. The annual incidence rates applying different case definitions varied from 8 to 77 per 1000 person-years. Rates of conversion to dementia over 2.6 years ranged from 23% to 47%.ConclusionsMild cognitive impairment is frequent in older people. Prevalence, incidence and predictive validities are highly dependent on the diagnostic criteria applied.


2018 ◽  
Vol 49 (4) ◽  
pp. 1124-1135 ◽  
Author(s):  
Zimri S. Yaseen ◽  
Mariah Hawes ◽  
Shira Barzilay ◽  
Igor Galynker

2003 ◽  
Vol 16 (3) ◽  
pp. 156-162 ◽  
Author(s):  
Jouko V. Laurila ◽  
Kaisu H. Pitkala ◽  
Timo E. Strandberg ◽  
Reijo S. Tilvis

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Huikuan Chu ◽  
Likun Zhong ◽  
Hai Li ◽  
Xiujing Zhang ◽  
Jingzhi Zhang ◽  
...  

Objective. To acquire more data about the epidemiologic characteristics of constipation in different kinds of populations in China.Methods. Using “constipation” and “China” as search terms; relevant papers were searched from January 1995 to April 2014. Data on prevalence, gender, diagnostic criteria, geographical area, educational class, age, race, and physician visit results were extracted and analyzed.Results. 36 trials were included. Prevalence rates of constipation in elderly population (18.1%) and pediatric population (18.8%) were significantly higher than that in general population (8.2%). Prevalence of constipation defined by non-Rome criteria was higher than that by Rome criteria in general population. Prevalence rates of constipation were different for different geographical area. People with less education were predisposed to constipation. In pediatric population, prevalence of constipation was the lowest in children aged 2–6 years. Prevalence of constipation in ethnic minorities was higher than that in Han people. People with constipation were predisposed to FD, haemorrhoid, and GERD. Only 22.2% patients seek medical advice in general population.Conclusions. In China, prevalence of constipation was lower compared with most of other countries. The factors including female gender, diagnostic criteria, geographical area, age, educational class, and race seemed to have major effects on prevalence of constipation.


Neurology ◽  
1993 ◽  
Vol 43 (2) ◽  
pp. 250-250 ◽  
Author(s):  
G. C. Roman ◽  
T. K. Tatemichi ◽  
T. Erkinjuntti ◽  
J. L. Cummings ◽  
J. C. Masdeu ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037022
Author(s):  
Yi-Sheng Chao ◽  
Kuan-Fu Lin ◽  
Chao-Jung Wu ◽  
Hsing-Chien Wu ◽  
Hui-Ting Hsu ◽  
...  

ObjectivesComposite diagnostic criteria alone are likely to create and introduce biases into diagnoses that subsequently have poor relationships with input symptoms. This study aims to understand the relationships between the diagnoses and the input symptoms, as well as the magnitudes of biases created by diagnostic criteria and introduced into the diagnoses of mental illnesses with large disease burdens (major depressive episodes, dysthymic disorder, and manic episodes).SettingsGeneral psychiatric care.ParticipantsWithout real-world data available to the public, 100 000 subjects were simulated and the input symptoms were assigned based on the assumed prevalence rates (0.05, 0.1, 0.3, 0.5 and 0.7) and correlations between symptoms (0, 0.1, 0.4, 0.7 and 0.9). The input symptoms were extracted from the diagnostic criteria. The diagnostic criteria were transformed into mathematical equations to demonstrate the sources of biases and convert the input symptoms into diagnoses.Primary and secondary outcomesThe relationships between the input symptoms and diagnoses were interpreted using forward stepwise linear regressions. Biases due to data censoring or categorisation introduced into the intermediate variables, and the three diagnoses were measured.ResultsThe prevalence rates of the diagnoses were lower than those of the input symptoms and proportional to the assumed prevalence rates and the correlations between the input symptoms. Certain input or bias variables consistently explained the diagnoses better than the others. Except for 0 correlations and 0.7 prevalence rates of the input symptoms for the diagnosis of dysthymic disorder, the input symptoms could not fully explain the diagnoses.ConclusionsThere are biases created due to composite diagnostic criteria and introduced into the diagnoses. The design of the diagnostic criteria determines the prevalence of the diagnoses and the relationships between the input symptoms, the diagnoses, and the biases. The importance of the input symptoms has been distorted largely by the diagnostic criteria.


Neurology ◽  
1994 ◽  
Vol 44 (5) ◽  
pp. 872-872 ◽  
Author(s):  
I. G. McKeith ◽  
A. F. Fairbairn ◽  
R. A. Bothwell ◽  
P. B. Moore ◽  
I. N. Ferrier ◽  
...  

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