Prediction of depression in European general practice attendees: the PREDICT study

Background Prevention of depression must address multiple risk factors. Estimating overall risk across a range of putative risk factors is fundamental to prevention of depression. However, we lack reliable and valid methods of risk estimation. This protocol paper introduces PREDICT, an international research study to address this risk estimation. Methods/design This is a prospective study in which consecutive general practice attendees in six European countries are recruited and followed up after six and 12 months. Prevalence of depression is assessed at baseline and each follow-up point. Consecutive attendees between April 2003 and September 2004 who were aged 18 to 75 were asked to take part. The possibility of a depressive episode was assessed using the Depression Section of the Composite International Diagnostic Interview. A selection of presumed risk factors was based on our previous work and a systematic review of the literature. It was necessary to evaluate the test-retest reliability of a number of risk factor questions that were developed specifically, or adapted, for the PREDICT study. In a separate reliability study conducted between January and November 2003, consecutive general practice attendees in the six participating European countries completed the risk factor items on two occasions, two weeks apart. The overall response rate at entry to the study was 69%. We exceeded our expected recruitment rate, achieving a total of 10,048 people in all. Reliability coefficients were generally good to excellent. Discussion Response rate to follow-up in all countries was uniformly high, which suggests that prediction will be based on almost a full cohort. The results of our reliability analysis are encouraging and suggest that data collected during the course of PREDICT will have a satisfactory level of stability. The development of a multi-factor risk score for depression will lay the foundation for future research on risk reduction in primary care. Our data will also provide the necessary evidence base on which to develop and evaluate interventions to reduce the prevalence of depression

Association between urinary incontinence and frailty : a systematic review and meta-analysis

Purpose: Urinary incontinence (UI) and frailty are common geriatric syndromes. Although literature increasingly supports a relationship between these two conditions, no systematic review and meta-analysis has been performed on this topic. Therefore, we aimed to investigate the potential association between UI and frailty, through a meta-analytic approach. Methods: A systematic search in major databases was undertaken until 15th March 2018 for studies reporting the association between UI and frailty. The prevalence of UI in people with frailty (vs. those without) was pooled through an odds ratio (OR) and 95% confidence intervals (CIs), with a random-effects model. The other outcomes were summarized descriptively. Results: Among 828 papers, 11 articles were eligible, including 3784 participants (mean age 78.2 years; 55.1% women). The prevalence of UI was 39.1% in people with frailty and 19.4% in those without. A meta-analysis with five studies (1540 participants) demonstrated that UI was over twice as likely in frail people versus those without (OR 2.28; 95% CI 1.35–3.86; I2 = 61%). One cross-sectional study, adjusting for potential confounders and one longitudinal study confirmed that UI is significantly associated with frailty. In two cross-sectional studies, using adjusted analyses, frailty was more common in people with UI. Conclusion: Urinary incontinence is twice as common in older people with frailty compared to older people without frailty. Screening and the development of interventions for UI and frailty could prove useful for this common comorbidity

An international risk prediction algorithm for the onset of generalized anxiety and panic syndromes in general practice attendees: predictA.

BACKGROUND: There are no risk models for the prediction of anxiety that may help in prevention. We aimed to develop a risk algorithm for the onset of generalized anxiety and panic syndromes. METHOD: Family practice attendees were recruited between April 2003 and February 2005 and followed over 24 months in the UK, Spain, Portugal and Slovenia (Europe4 countries) and over 6 months in The Netherlands, Estonia and Chile. Our main outcome was generalized anxiety and panic syndromes as measured by the Patient Health Questionnaire. We entered 38 variables into a risk model using stepwise logistic regression in Europe4 data, corrected for over-fitting and tested it in The Netherlands, Estonia and Chile. RESULTS: There were 4905 attendees in Europe4, 1094 in Estonia, 1221 in The Netherlands and 2825 in Chile. In the algorithm four variables were fixed characteristics (sex, age, lifetime depression screen, family history of psychological difficulties); three current status (Short Form 12 physical health subscale and mental health subscale scores, and unsupported difficulties in paid and/or unpaid work); one concerned country; and one time of follow-up. The overall C-index in Europe4 was 0.752 [95% confidence interval (CI) 0.724-0.780]. The effect size for difference in predicted log odds between developing and not developing anxiety was 0.972 (95% CI 0.837-1.107). The validation of predictA resulted in C-indices of 0.731 (95% CI 0.654-0.809) in Estonia, 0.811 (95% CI 0.736-0.886) in The Netherlands and 0.707 (95% CI 0.671-0.742) in Chile. CONCLUSIONS: PredictA accurately predicts the risk of anxiety syndromes. The algorithm is strikingly similar to the predictD algorithm for major depression, suggesting considerable overlap in the concepts of anxiety and depression

Association between urinary incontinence and frailty: a systematic review and meta-analysis

Purpose: Urinary incontinence (UI) and frailty are common geriatric syndromes. Although literature increasingly supports a relationship between these two conditions, no systematic review and meta-analysis has been performed on this topic. Therefore, we aimed to investigate the potential association between UI and frailty, through a meta-analytic approach. Methods: A systematic search in major databases was undertaken until 15th March 2018 for studies reporting the association between UI and frailty. The prevalence of UI in people with frailty (vs. those without) was pooled through an odds ratio (OR) and 95% confidence intervals (CIs), with a random-effects model. The other outcomes were summarized descriptively. Results: Among 828 papers, 11 articles were eligible, including 3784 participants (mean age 78.2\ua0years; 55.1% women). The prevalence of UI was 39.1% in people with frailty and 19.4% in those without. A meta-analysis with five studies (1540 participants) demonstrated that UI was over twice as likely in frail people versus those without (OR 2.28; 95% CI 1.35\u20133.86; I2 = 61%). One cross-sectional study, adjusting for potential confounders and one longitudinal study confirmed that UI is significantly associated with frailty. In two cross-sectional studies, using adjusted analyses, frailty was more common in people with UI. Conclusion: Urinary incontinence is twice as common in older people with frailty compared to older people without frailty. Screening and the development of interventions for UI and frailty could prove useful for this common comorbidity. \ua9 2018, European Geriatric Medicine Society

Impact of demographic factors on recognition of persons with depression and anxiety in primary care in Slovenia

<p>Abstract</p> <p>Background</p> <p>Research has repeatedly shown that family physicians fail to diagnose up to 70% of patients with common mental disorders. Objective of the study is to investigate associations between persons' gender, age and educational level and detection of depression and anxiety by their family physicians.</p> <p>Methods</p> <p>We compared the results of two independent observational studies that were performed at the same time on a representative sample of family medicine practice attendees in Slovenia. 10710 patients participated in Slovenian Cross-sectional survey and 1118 patients participated in a first round of a cohort study (PREDICT-D study). Logistic regression was used to examine the effects of age, gender and educational level on detection of depression and anxiety.</p> <p>Results</p> <p>The prevalence of major depression and Other Anxiety Syndrome (OAS) amongst family practice attendees was low. The prevalence of Panic Syndrome (PS) was comparable to rates reported in the literature. A statistical model with merged data from both studies showed that it was over 15 times more likely for patients with ICD-10 criteria depression to be detected in PREDICT-D study as in SCS survey. In PREDICT-D study it was more likely for people with higher education to be diagnosed with ICD-10 criteria depression than in SCS survey.</p> <p>Conclusion</p> <p>People with higher levels of education should probably be interviewed in a more standardized way to be recognised as having depression by Slovenian family physicians. This finding requires further validation.</p

Determinants of (non-)recognition of depression by general practitioners: Results of the Netherlands study of depression and anxiety

Background: Although most depressed patients are treated in primary care, not all are recognized as such. This study explores the determinants of (non-)recognition of depression by general practitioners (GPs), with a focus on specific depression symptoms as possible determinants. Methods: Recognition of depression by GPs was investigated in 484 primary care participants of the Netherlands Study of Depression and Anxiety, with a DSM-IV diagnosis of depression in the past year. Recognition (yes/no) by GPs was based on medical file extractions (GP diagnosis of depressive symptoms/depressive disorder and/or use of antidepressants/referral to mental health care). Potential determinants of (non-)recognition (patient, depression, patient-GP interaction, and GP characteristics) were bivariately tested and variables with a p-value <= 0.2 entered into a multilevel multivariate model. Subgroup analysis was performed on 361 respondents with more reliable GP diagnosis data. Results: 60.5% of patients were recognized by their GP. Patients who did not consult their GP for mental problems, and without comorbid anxiety disorder(s) were less often recognized. In the subgroup, where 68.7% was recognized, in addition to these, decreasing number of symptoms of depression and increased appetite were associated with decreased recognition. No GP characteristics were retained in the final model. Limitations: Some data on recognition were collected retrospectively. Conclusions: In addition to patients without a comorbid anxiety disorder or who did not consult their GP for mental problems, GPs less often recognized patients with fewer depression symptoms or with increased appetite. Recognition may be improved by informing/teaching GPs that also increased appetite can be a symptom of depression. (C) 2012 Elsevier B.V. All rights reserved