Lifetime prevalence estimates of major depression: An indirect estimation method and a quantification of recall bias

2005 ◽  
Vol 20 (1) ◽  
pp. 103-111 ◽  
Author(s):  
Michelle Elisabeth Kruijshaar ◽  
Jan Barendregt ◽  
Theo Vos ◽  
Ron de Graaf ◽  
Jan Spijker ◽  
...  
Auditor ◽  
2018 ◽  
Vol 4 (10) ◽  
pp. 27-32
Author(s):  
Е. Выборова ◽  
E. Vyborova

The article reveals the elements of the methods of analysis of cash flow of the organization. The main parameters of the analysis of financial streams, the determining the optimal cash remainder, their direct and indirect estimation method are given.


2021 ◽  
Author(s):  
Jacqueline Kiewa ◽  
Samantha Meltzer-Brody ◽  
Jeanette Milgrom ◽  
Elizabeth Bennett ◽  
Tracey Mackle ◽  
...  

Abstract BackgroundHistory of psychiatric disorders, particularly depression, is the strongest risk factor for perinatal depression (PND). Yet many women without such history experience their first depression episode perinatally, whilst other women with depression history do not experience any episodes during the perinatal period. PND may itself be heterogenous, according to differences in psychiatric history. However, a comprehensive investigation of characteristics of women with PND, with and without a prior psychiatric history, has not been attempted.MethodsIn a large sample of parous women with depression, we sought to identify risk factors associated with PND after previous depression episodes, or as first-onset depression. Using data from the Australian Genetics of Depression Study, we identified two subgroups of PND cases (Edinburgh Postnatal Depression Scale score >= 13) with and without prior depression history. For both subgroups, we investigated lifetime prevalence, length and severity of PND. Logistic regression compared a range of characteristics of cases to those of a comparison group with major depression without any perinatal episodes. ResultsCriteria for PND was met by 5,058 (70%) of 7,182 parous women who met criteria for major depression. Of women reporting depression onset before first pregnancy, 2,261 (77%) PND cases were compared to 672 (23%) without PND. Among women reporting their first depression episode during or after their first pregnancy, 878 women for whom this first episode was PND were compared to 2,124 parous women who had experienced depression but never perinatally. Of women who experienced depression prior to first pregnancy, PND cases were significantly more likely to report more episodes of depression (OR=1.1 per additional depression episode, CI=[1.1-1.1], P=1.3E-13), non-European ancestry (OR=1.8, CI=[1.3-2.5], P=1.2E-03), severe nausea during pregnancy (OR=1.3, CI=[1.1-1.6], P=6.6E-03) and emotional abuse (OR=1.4, CI=[1.1-1.7], P=2.0E-03). Women without any depression before their first perinatal episode were significantly more likely to report emotional abuse (OR=1.3, CI=[1.1-1.6], P=1.1E-02) than women with depression without PND.ConclusionsThe majority of parous women in this study experienced PND, associated with more complex, severe depression. Results highlight the importance of perinatal assessments of depressive symptoms, particularly for women with a history of depression or childhood adverse experiences.


2021 ◽  
Vol 12 ◽  
Author(s):  
Alina Zuberi ◽  
Ahmed Waqas ◽  
Sadiq Naveed ◽  
Md Mahbub Hossain ◽  
Atif Rahman ◽  
...  

Objectives: To synthesize the prevalence of mental and substance use disorders in countries of the Eastern Mediterranean Region (EMR) of the World Health Organization.Methods: The literature search was conducted across several databases in two phases. First, we searched for systematic reviews and/or meta-analyses published before 2014, reporting prevalence estimates for mental disorders in the EMR. Then, we identified new primary cross-sectional or longitudinal studies published between 2014 and 2020. Studies were included if they had a sample size of ≥ 450 and were conducted among the general adult population. Current, period and lifetime prevalence estimates for each disorder were pooled using random-effects meta-analyses, and subgroup analyses and meta-regressions were conducted.Findings: Prevalence estimates were extracted from 54 cross-sectional studies across 15 countries within the EMR. Pooled analyses of current, period and lifetime prevalence showed the highest prevalence for depression (14.8%, 95% confidence interval, CI: 10.7–20.1%), followed by generalized anxiety disorder (GAD) (10.4%, 95% CI: 7.1–14.7%), post-traumatic stress disorder (7.2%, 95% CI: 2.9–16.6%), substance use (4.0%, 95% CI: 3.1–5.2%), obsessive compulsive disorder (2.8%, 95% CI: 1.6–4.9%), phobic disorders (1.8%, 95% CI: 1.1–2.8%), panic disorders (1.1%, 95% CI: 0.6–2.2%), bipolar disorders (0.7%, 95% CI: 0.3–1.6%), and psychosis (0.5%, 95% CI: 0.3–0.9%). Populations exposed to adverse events had higher prevalence of mental disorders than the general population. Period and lifetime prevalence showed little difference across mental disorders. More pronounced differences in prevalence were seen for depression and GAD, specifically between current and lifetime prevalence (depression: current prevalence 20.5% (95% CI: 14.9–27.4%), vs. lifetime prevalence: 4.2% (95%CI: 1.8–9.6%); GAD: current prevalence 10.3% (95% CI: 6.1–17.0), vs. lifetime prevalence: 4.5% (95% CI: 2.4–8.3%). Differences between current and lifetime prevalence of mental disorders may be due to the use of different screening instruments and thresholds being applied.Conclusion: The prevalence of mental and substance use disorders in the EMR is high. Despite substantial inter-survey heterogeneity, our estimates align with previous global and regional data on mental disorders. Our meta-review provides new evidence on the burden of mental health problems in the EMR.Systematic Review Registration: PROSPERO, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020187388.


2020 ◽  
Vol 14 (1) ◽  
pp. 1-9
Author(s):  
Ferra Yanuar ◽  
Rahmatika Fajriyah ◽  
Dodi Devianto

Small Area Estimation is one of the methods that can be used to estimate parameters in an area that has a small population. This study aims to estimate the value of the binary data parameter using the direct estimation method and an indirect estimation method by using the Empirical Bayes approach. To illustrate the method, we consider three conditions: direct estimator, empirical Bayes (EB) with auxiliary variables, and empirical Bayes without auxiliary variables. The smaller value of Mean Square Error is used to determine the better method. The results showed that the indirect estimation methods (EB method) gave the parameter value that was not much different from the direct estimation value. Then, the MSE values of indirect estimation with an auxiliary variable are smaller than the direct estimation method.


2009 ◽  
Vol 239 (7) ◽  
pp. 1237-1245 ◽  
Author(s):  
Nam-Gyu Park ◽  
Huinam Rhee ◽  
Joon-Kyu Park ◽  
Sang-Youn Jeon ◽  
Hyeong-Koo Kim

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