Anna Meijer

Risk of bias from inclusion of patients who already have diagnosis of or are undergoing treatment for depression in diagnostic accuracy studies of screening tools for depression: systematic review

Objectives To investigate the proportion of original studies included in systematic reviews and meta-analyses on the diagnostic accuracy of screening tools for depression that appropriately exclude patients who already have a diagnosis of or are receiving treatment for depression and to determine whether these systematic reviews and meta-analyses evaluate possible bias from the inclusion of such patients. Design Systematic review. Data sources Medline, PsycINFO, CINAHL, Embase, ISI, SCOPUS, and Cochrane databases were searched from 1 January 2005 to 29 October 2009. Eligibility criteria for selecting studies Systematic reviews and meta-analyses in any language that reported on the diagnostic accuracy of screening tools for depression. Results Only eight of 197 (4%) unique publications from 17 systematic reviews and meta-analyses specifically excluded patients who already had a diagnosis of or were receiving treatment for depression. No systematic reviews or meta-analyses commented on possible bias from the inclusion of such patients, even though 10 reviews used quality assessment tools with items to rate risk of bias from composition of the sample of patients. Conclusions Studies of the accuracy of screening tools for depression rarely exclude patients who already have a diagnosis of or are receiving treatment for depression, a potential bias that is not evaluated in systematic reviews and meta-analyses. This could result in inflated estimates of accuracy on which clinical practice and preventive care guidelines are often based, a problem that takes on greater importance as the rate of diagnosed and treated depression in the population increases.

Adjusted prognostic association of post-myocardial infarction depression withmortality and cardiovascular events: an individual patient data meta-analysis

BACKGROUND The association between depression after myocardial infarction and increased risk of mortality and cardiac morbidity may be due to cardiac disease severity. AIMS To combine original data from studies on the association between post-infarction depression and prognosis into one database, and to investigate to what extent such depression predicts prognosis independently of disease severity. METHOD An individual patient data meta-analysis of studies was conducted using multilevel, multivariable Cox regression analyses. RESULTS Sixteen studies participated, creating a database of 10 175 post-infarction cases. Hazard ratios for post-infarction depression were 1.32 (95% CI 1.26-1.38, P<0.001) for all-cause mortality and 1.19 (95% CI 1.14-1.24, P<0.001) for cardiovascular events. Hazard ratios adjusted for disease severity were attenuated by 28% and 25% respectively. CONCLUSIONS The association between depression following myocardial infarction and prognosis is attenuated after adjustment for cardiac disease severity. Still, depression remains independently associated with prognosis, with a 22% increased risk of all-cause mortality and a 13% increased risk of cardiovascular events per standard deviation in depression z-score.

Systematic Review and Individual Patient Data Meta-Analysis of Sex Differences in Depression and Prognosis in Persons With Myocardial Infarction: A MINDMAPS Study.

Objective Using combined individual patient data from prospective studies, we explored sex differences in depression and prognosis post–myocardial infarction (MI) and determined whether disease indices could account for found differences. Methods Individual patient data analysis of 10,175 MI patients who completed diagnostic interviews or depression questionnaires from 16 prospective studies from the MINDMAPS study was conducted. Multilevel logistic and Cox regression models were used to determine sex differences in prevalence of depression and sex-specific effects of depression on subsequent outcomes. Results Combined interview and questionnaire data from observational studies showed that 36% (635/1760) of women and 29% (1575/5526) of men reported elevated levels of depression (age-adjusted odds ratio = 0.68, 95% confidence interval [CI] = 0.60–0.77). The risk for all-cause mortality associated with depression was higher in men (hazard ratio = 1.38, 95% CI = 1.30–1.47) than in women (hazard ratio = 1.22, 95% CI = 1.14–1.31; sex by depression interaction: p < .001). Low left ventricular ejection fraction (LVEF) was associated with higher depression scores in men only (sex by LVEF interaction: B = 0.294, 95% CI = 0.090–0.498), which attenuated the sex difference in the association between depression and prognosis. Conclusions The prevalence of depression post-MI was higher in women than in men, but the association between depression and cardiac prognosis was worse for men. LVEF was associated with depression in men only and accounted for the increased risk of all-cause mortality in depressed men versus women, suggesting that depression in men post-MI may, in part, reflect cardiovascular disease severity.

More than the sum of its parts: meta-analysis and its potential to discover sources of heterogeneity in psychosomatic medicine.

Meta-analyses may contribute to more reliable knowledge about the existence of certain relations in the area of psychosomatic research. Surprisingly, the increasing popularity of meta-analysis is not reflected in the number of meta-analyses of observational studies published in Psychosomatic Medicine. This may be due to the specific difficulties that apply to meta-analyses of observational research. The aim of this paper is to provide a nontechnical overview of the principles of meta-analysis applied to observational research. We will highlight general principles of meta-analysis and discuss the major threats to its validity, with an emphasis on its specific merits and pitfalls for psychosomatic research, using several examples. We conclude that meta-analysis is a relatively simple technique, leaving little reason for not routinely applying it when performing a systematic review. An adequately conducted meta-analysis may not only provide a summary estimate of a certain association, but it has additional value in discovering relevant confounders, mediators, and moderators, as well as identifying areas of research that require more attention. BMI = body mass index; IL = interleukin; IPD = individual patient data; OR = odds ratio; PTSD = posttraumatic stress disorder; SEM = standard error of the mean; SMD = standardized mean difference.

Correction to: Weight changes associated with antiepileptic mood stabilizers in the treatment of bipolar disorder

In the original version of this article unfortunately two tables have been missing. By mistake they have been published as Supplementary Material. We apologize for any inconvenience caused. The original article has been corrected.

Systematic review and individual patient data meta-analysis of sex differences in depression and prognosis in persons with myocardial infarction : A MINDMAPS study

Background: Many psycho-oncology studies use posttraumatic growth (PTG) measures designed for general trauma experiences, and as such they may not take into account life changes associated with a health-related context. Method: Study 1, a thematic analysis of written narratives (N = 209), emphasised cancer survivors’ newfound compassion. Study 2, with 504 prostate cancer survivors, measured the Posttraumatic Growth Inventory including five additional items derived from Study 1 to represent increased compassion. Findings: A Principal Components Analysis revealed a six-component structure after deleting eight items. Components related to compassion, new possibilities, relating to others, personal strength, appreciation of life, and spiritual change. Compassion accounted for 48.9% of variance, with the overall model accounting for 79.9% of variance. Strong factorability, internal consistency, and convergent validity were demonstrated. Discussion: The salience of newfound compassion after cancer was demonstrated. This research has important implications for accurately assessing the post-diagnosis trajectory of adjustment after cancer.Special Issue: Abstracts supplement: “Well-being, quality of life and caregiving” : 27th Conference of the European health psychology society, Bordeaux, France, 16th – 20th July 2013Background: Self-affirmation (i.e., focusing on a valued aspect of the self-concept) can promote health behaviour change. This study aimed to see if self-affirmation increased physical activity (PA) regardless of threat level presented in health messages. Methods: Sixty-eight participants were randomly allocated to condition in a 2 (self-affirmation, no affirmation) x 2 (high threat, low threat) between-participants design. Participants completed the Godin Leisure-Time Exercise Questionnaire at baseline and one week later to assess PA. Findings: A two-way ANCOVA with affirmation condition and threat level as predictor variables, controlling for baseline PA, was performed on follow up PA. Baseline PA was a significant predictor (F(1,63) = 399.63, p<0.001) and the main effect of affirmation condition approached significance (F(1,63) = 3.55, p=0.06). There were no other significant effects. Discussion: This study provides further evidence that self-affirmation can increase PA, but found no interaction between self-affirmation and threat level presented in health messages.Background: Contemporary alcohol research suggests that implicit attitudes are important predictors of drinking behaviour and there is growing interest surrounding factors influencing them. Research suggests that evaluative conditioning (EC) influences implicit attitudes and at a population level the most obvious and prolific use of EC is advertising. Methods: Participants (n= 51, mean age= 22.43) completed alcohol- and chocolate-related Implicit Association Tests (IAT) before viewing an advertisement for either chocolate or beer. Participants then completed post-test IATs before being provided with chocolate and beer products and asked to consume as much as they wanted. Findings: Viewing a beer advertisement produced a significant positive shift in alcohol-related implicit attitudes from pre- to post-test. No other significant effects on implicit attitudes or behaviour were found. Discussion: Alcohol advertisements are effective in changing alcohol-related implicit attitudes; however the influence on behaviour requires further investigation. Implications for the manipulation of alcohol-related implicit attitudes are discussed.Background: Recent research has highlighted the importance of automatic processes in predicting impulsive health risk behaviour. This has led to the creation of health behaviour models such as the Prototype Willingness Model (PWM) which take into account dual processes when predicting health behaviour. The current research argues that individuals are more likely to engage in impulsive drinking behaviour on a weekend as opposed to a weekday as there are fewer constraints placed upon drinking behaviour. Methods: Participants (n= 61, mean age= 22) completed an alcohol Implicit Association Test as well as a questionnaire assessing variables on the PWM and drinking behaviour. Findings: More positive alcohol-related automatic cognitions were significantly related to increased levels of both frequency and quantity of self-reported weekend drinking behaviour but were not significantly related to weekday drinking behaviour. Discussion: Automatic processes successfully predicted drinking behaviour when there were fewer constraints placed upon individuals.Background: The Prototype Willingness Model (PWM) suggests that there are two separate antecedents to behaviour: intention and willingness. Whereas intention is suggested to be rational and deliberative, willingness is more automatic and impulsive. The current study used a cross-cultural sample in order to examine the differing predictive power of the PWM for drinking behaviour. Methods: A sample of 193 individuals from Australia (n=108) and Singapore (n=85) completed a questionnaire measuring alcohol consumption and variables on the PWM. Findings: Willingness to drink significantly predicted alcohol consumption in Singaporeans. Both willingness and intention to drink significantly predicted frequency of alcohol consumption Discussion: The antecedents of the PWM differentially predict alcohol consumption in culturally different samples. Implications for health interventions aimed to reduce drinking across cultures are discussed.Background. Parenting has been associated with child weight status. This study aims to evaluate the effects on parenting skills and BMI-SDS of the BBOFT+ overweight prevention program, compared to care-as-usual (CAU). Method. In a cluster-randomized trial, 2500 parents participated. Parent-reported weight and length were used. Parenting was measured with subscales control and reinforcement of the parenting strategies for eating and activity scale (PEAS) and the warmth subscale from the Child Rearing Questionnaire. Results. The first univariate analyses show that at age 15 months, no statistically significant differences in BMI- SDS, parental control, reinforcement or warmth were found between the BBOFT+ and the CAU group. Further cluster analyses need to be conducted. Results from age 36 months will be presented during the conference, which will include all subscales of the PEAS and an assessment of parenting styles. Conclusion. The intervention does not seem to have an effect on BMI-SDS or parenting.Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.

Systematic review and individual patient data meta-analysis of sex differences in depression and prognosis in persons with myocardial infarction

Background: Many psycho-oncology studies use posttraumatic growth (PTG) measures designed for general trauma experiences, and as such they may not take into account life changes associated with a health-related context. Method: Study 1, a thematic analysis of written narratives (N = 209), emphasised cancer survivors’ newfound compassion. Study 2, with 504 prostate cancer survivors, measured the Posttraumatic Growth Inventory including five additional items derived from Study 1 to represent increased compassion. Findings: A Principal Components Analysis revealed a six-component structure after deleting eight items. Components related to compassion, new possibilities, relating to others, personal strength, appreciation of life, and spiritual change. Compassion accounted for 48.9% of variance, with the overall model accounting for 79.9% of variance. Strong factorability, internal consistency, and convergent validity were demonstrated. Discussion: The salience of newfound compassion after cancer was demonstrated. This research has important implications for accurately assessing the post-diagnosis trajectory of adjustment after cancer.Special Issue: Abstracts supplement: “Well-being, quality of life and caregiving” : 27th Conference of the European health psychology society, Bordeaux, France, 16th – 20th July 2013Background: Self-affirmation (i.e., focusing on a valued aspect of the self-concept) can promote health behaviour change. This study aimed to see if self-affirmation increased physical activity (PA) regardless of threat level presented in health messages. Methods: Sixty-eight participants were randomly allocated to condition in a 2 (self-affirmation, no affirmation) x 2 (high threat, low threat) between-participants design. Participants completed the Godin Leisure-Time Exercise Questionnaire at baseline and one week later to assess PA. Findings: A two-way ANCOVA with affirmation condition and threat level as predictor variables, controlling for baseline PA, was performed on follow up PA. Baseline PA was a significant predictor (F(1,63) = 399.63, p<0.001) and the main effect of affirmation condition approached significance (F(1,63) = 3.55, p=0.06). There were no other significant effects. Discussion: This study provides further evidence that self-affirmation can increase PA, but found no interaction between self-affirmation and threat level presented in health messages.Background: Contemporary alcohol research suggests that implicit attitudes are important predictors of drinking behaviour and there is growing interest surrounding factors influencing them. Research suggests that evaluative conditioning (EC) influences implicit attitudes and at a population level the most obvious and prolific use of EC is advertising. Methods: Participants (n= 51, mean age= 22.43) completed alcohol- and chocolate-related Implicit Association Tests (IAT) before viewing an advertisement for either chocolate or beer. Participants then completed post-test IATs before being provided with chocolate and beer products and asked to consume as much as they wanted. Findings: Viewing a beer advertisement produced a significant positive shift in alcohol-related implicit attitudes from pre- to post-test. No other significant effects on implicit attitudes or behaviour were found. Discussion: Alcohol advertisements are effective in changing alcohol-related implicit attitudes; however the influence on behaviour requires further investigation. Implications for the manipulation of alcohol-related implicit attitudes are discussed.Background: Recent research has highlighted the importance of automatic processes in predicting impulsive health risk behaviour. This has led to the creation of health behaviour models such as the Prototype Willingness Model (PWM) which take into account dual processes when predicting health behaviour. The current research argues that individuals are more likely to engage in impulsive drinking behaviour on a weekend as opposed to a weekday as there are fewer constraints placed upon drinking behaviour. Methods: Participants (n= 61, mean age= 22) completed an alcohol Implicit Association Test as well as a questionnaire assessing variables on the PWM and drinking behaviour. Findings: More positive alcohol-related automatic cognitions were significantly related to increased levels of both frequency and quantity of self-reported weekend drinking behaviour but were not significantly related to weekday drinking behaviour. Discussion: Automatic processes successfully predicted drinking behaviour when there were fewer constraints placed upon individuals.Background: The Prototype Willingness Model (PWM) suggests that there are two separate antecedents to behaviour: intention and willingness. Whereas intention is suggested to be rational and deliberative, willingness is more automatic and impulsive. The current study used a cross-cultural sample in order to examine the differing predictive power of the PWM for drinking behaviour. Methods: A sample of 193 individuals from Australia (n=108) and Singapore (n=85) completed a questionnaire measuring alcohol consumption and variables on the PWM. Findings: Willingness to drink significantly predicted alcohol consumption in Singaporeans. Both willingness and intention to drink significantly predicted frequency of alcohol consumption Discussion: The antecedents of the PWM differentially predict alcohol consumption in culturally different samples. Implications for health interventions aimed to reduce drinking across cultures are discussed.Background. Parenting has been associated with child weight status. This study aims to evaluate the effects on parenting skills and BMI-SDS of the BBOFT+ overweight prevention program, compared to care-as-usual (CAU). Method. In a cluster-randomized trial, 2500 parents participated. Parent-reported weight and length were used. Parenting was measured with subscales control and reinforcement of the parenting strategies for eating and activity scale (PEAS) and the warmth subscale from the Child Rearing Questionnaire. Results. The first univariate analyses show that at age 15 months, no statistically significant differences in BMI- SDS, parental control, reinforcement or warmth were found between the BBOFT+ and the CAU group. Further cluster analyses need to be conducted. Results from age 36 months will be presented during the conference, which will include all subscales of the PEAS and an assessment of parenting styles. Conclusion. The intervention does not seem to have an effect on BMI-SDS or parenting.Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.