BackgroundConfounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to indicate confounding bias. However, many clinical researchers are not aware that the use of this change-in-estimate criterion may lead to wrong conclusions when applied to logistic regression coefficients. This is due to a statistical phenomenon called noncollapsibility, which manifests itself in logistic regression models. This paper aims to clarify the role of noncollapsibility in logistic regression and to provide guidance in determining the presence of confounding bias.MethodsA Monte Carlo simulation study was designed to uncover patterns of confounding bias and noncollapsibility effects in logistic regression. An empirical data example was used to illustrate the inability of the change-in-estimate criterion to distinguish confounding bias from noncollapsibility effects.ResultsThe simulation study showed that, depending on the sign and magnitude of the confounding bias and the noncollapsibility effect, the difference between the effect estimates from univariable- and multivariable regression models may underestimate or overestimate the magnitude of the confounding bias. Because of the noncollapsibility effect, multivariable regression analysis and inverse probability weighting provided different but valid estimates of the confounder-adjusted exposure effect. In our data example, confounding bias was underestimated by the change in estimate due to the presence of a noncollapsibility effect.ConclusionIn logistic regression, the difference between the univariable- and multivariable effect estimate might not only reflect confounding bias but also a noncollapsibility effect. Ideally, the set of confounders is determined at the study design phase and based on subject matter knowledge. To quantify confounding bias, one could compare the unadjusted exposure effect estimate and the estimate from an inverse probability weighted model.
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Like many countries, the COVID-19 pandemic has forced Statistics Netherlands to make changes in its fieldwork strategy. Since mid-March 2020, there have been limited opportunities to conduct face-to-face interviews. Therefore, from September 2020, CAPI sampled people are offered the opportunity to respond by telephone. For this purpose, face-to-face interviewers are instructed to persuade the potential respondent at the doorway. When people refuse a face-to-face interview, interviewers ask for a telephone number and try to make an appointment to conduct the interview by telephone. The aim of our study was to investigate the effects of conducting the interview by telephone instead of face-to-face on important survey outcome variables. We were particularly interested in whether differences are due to selection effects or caused by mode-specific measurement errors. Because we did not have the time or capacity to set up a controlled experiment, we performed regression analyses to decompensate the differences between selection effects and mode-specific measurement errors. We used data of the Labour Force Survey (LFS) and the Housing Survey (WoON). Our analysis showed that there were differences in important target variables, for both LFS and WoON. These differences were, however, mainly caused by selection effects – which can be taken into account for during weighting – and were less likely to be caused by mode specific measurement errors. Although there are important limitations and caveats, these findings are supportive to further implement this field strategy.
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Purpose: Literature detailing the effectiveness of school-based physical activity promotion in- terventions in prevocational adolescents was reviewed to identify effective intervention characteristics.Methods: The search strategy assessed studies against inclusion criteria study design, study population, school setting, language, and construct. The risk of bias of the included studies was assessed, and extractions were made of the physical activity (PA) level outcome measures and intervention characteristics regarding organizational, social, and content features. A meta-analysis was conducted to determine the overall effect of the interventions on the PA level. Identification of effective intervention characteristics was done by subgroup analyses. Meta-regression analysis was performed with PA level as dependent variable and intervention characteristics as covariates. Results: A total of 40 eligible studies was included for meta-analyses. Among the included studies, the overall intervention effect on increasing the PA level of prevocational adolescents was weak (standardized mean difference [SMD] .19, 95% confidence interval [CI] .12e.27). Intervention characteristics that improve the effect size to a moderate level were intracurricular PA (SMD .43, 95% CI .19e.68), involving school staff in an intracurricular intervention (SMD .37, 95% CI .16e.58) and a tailored intracurricular intervention (SMD .35, 95% CI .13e.58). Meta-regression analysis confirmed PA as a positive predictor.Conclusions: The effect of a school-based PA intervention was small to moderate. A sensible choice in the assembly of a multicomponent school-based PA intervention increases the effectiveness considerably. Physical education teachers, school administrators, and policy makers should consider organizational (intracurriculum, short and medium duration), personal (tailoring, participation), social (school staff) and content (PA) determinants.
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Full text met een HU Account Objective: To quantify diversity in components of self-management interventions and explore which components are associated with improvement in health-related quality of life (HRQoL) in patients with chronic heart failure (CHF), chronic obstructive pulmonary disease (COPD), or type 2 diabetes mellitus (T2DM). Methods: Systematic literature search was conducted from January 1985 through June 2013. Included studies were randomised trials in patients with CHF, COPD, or T2DM, comparing self-management interventions with usual care, and reporting data on disease-specific HRQoL. Data were analysed with weighted random effects linear regression models. Results: 47 trials were included, representing 10,596 patients. Self-management interventions showed great diversity in mode, content, intensity, and duration. Although self-management interventions overall improved HRQoL at 6 and 12 months, meta-regression showed counterintuitive negative effects of standardised training of interventionists (SMD = 0.16, 95% CI: 0.31 to 0.01) and peer interaction (SMD = 0.23, 95% CI 0.39 to 0.06) on HRQoL at 6 months. Conclusion: Self-management interventions improve HRQoL at 6 and 12 months, but interventions evaluated are highly heterogeneous. No components were identified that favourably affected HRQoL. Standardised training and peer interaction negatively influenced HRQoL, but the underlying mechanism remains unclear. Practice implications: Future research should address process evaluations and study response to selfmanagement on the level of individual patients
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Objective: To predict mortality by disability in a sample of 479 Dutch community-dwelling people aged 75 years or older. Methods: A longitudinal study was carried out using a follow-up of seven years. The Groningen Activity Restriction Scale (GARS), a self-reported questionnaire with good psychometric properties, was used for data collection about total disability, disability in activities in daily living (ADL) and disability in instrumental activities in daily living (IADL). The mortality dates were provided by the municipality of Roosendaal (a city in the Netherlands). For analyses of survival, we used Kaplan–Meier analyses and Cox regression analyses to calculate hazard ratios (HR) with 95% confidence intervals (CI). Results: All three disability variables (total, ADL and IADL) predicted mortality, unadjusted and adjusted for age and gender. The unadjusted HRs for total, ADL and IADL disability were 1.054 (95%-CI: [1.039;1.069]), 1.091 (95%-CI: [1.062;1.121]) and 1.106 (95%-CI: [1.077;1.135]) with p-values <0.001, respectively. The AUCs were <0.7, ranging from 0.630 (ADL) to 0.668 (IADL). Multivariate analyses including all 18 disability items revealed that only “Do the shopping” predicted mortality. In addition, multivariate analyses focusing on 11 ADL items and 7 IADL items separately showed that only the ADL item “Get around in the house” and the IADL item “Do the shopping” significantly predicted mortality. Conclusion: Disability predicted mortality in a seven years follow-up among Dutch community-dwelling older people. It is important that healthcare professionals are aware of disability at early stages, so they can intervene swiftly, efficiently and effectively, to maintain or enhance the quality of life of older people.
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Music interventions are used for stress reduction in a variety of settings because of the positive effects of music listening on both physiological arousal (e.g., heart rate, blood pressure, and hormonal levels) and psychological stress experiences (e.g., restlessness, anxiety, and nervousness). To summarize the growing body of empirical research, two multilevel meta-analyses of 104 RCTs, containing 327 effect sizes and 9,617 participants, were performed to assess the strength of the effects of music interventions on both physiological and psychological stress-related outcomes, and to test the potential moderators of the intervention effects. Results showed that music interventions had an overall significant effect on stress reduction in both physiological (d = .380) and psychological (d = .545) outcomes. Further, moderator analyses showed that the type of outcome assessment moderated the effects of music interventions on stress-related outcomes. Larger effects were found on heart rate (d = .456), compared to blood pressure (d = .343) and hormone levels (d = .349). Implications for stress-reducing music interventions are discussed.
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The aim of this study is to investigate Dutch citizens’ care attitudes by looking at care-giving norms and citizens’ welfare state orientation and to explore to what extent these attitudes can be explained by combinations of diversity characteristics. We combined two datasets (2016 and 2018, N = 5,293) containing citizens’ opinions regarding society and conducted multivariate linear and ordered probit regression analyses. An intersectional perspective was adopted to explore the influence of combinations of diversity characteristics. Results show that citizens’ care-giving norms are relatively strong, meaning they believe persons in need of care should receive help from their families or social networks. However, citizens consider the government responsible for care as well. Men, younger people, people in good health and people of non-Western origin have stronger care-giving norms than others, and younger people assign relatively more responsibility to the family than the government. Level of education and religiosity are also associated with care attitudes. Primary diversity dimensions are more related to care attitudes than secondary, circumstantial dimensions. Some of the secondary dimensions interact with primary dimensions. These insights offer policy makers, social workers and (allied) health professionals the opportunity to align with citizens’ care attitudes, as results show that people vary to a large extent in their care-giving norms and welfare state orientation.
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Objective: To explore predictors of dropout of patients with chronic musculoskeletal pain from an interdisciplinary chronic pain management programme, and to develop and validate a multivariable prediction model, based on the Extended Common- Sense Model of Self-Regulation (E-CSM). Methods: In this prospective cohort study consecutive patients with chronic pain were recruited and followed up (July 2013 to May 2015). Possible associations between predictors and dropout were explored by univariate logistic regression analyses. Subsequently, multiple logistic regression analyses were executed to determine the model that best predicted dropout. Results: Of 188 patients who initiated treatment, 35 (19%) were classified as dropouts. The mean age of the dropout group was 47.9 years (standard deviation 9.9). Based on the univariate logistic regression analyses 7 predictors of the 18 potential predictors for dropout were eligible for entry into the multiple logistic regression analyses. Finally, only pain catastrophizing was identified as a significant predictor. Conclusion: Patients with chronic pain who catastrophize were more prone to dropout from this chronic pain management programme. However, due to the exploratory nature of this study no firm conclusions can be drawn about the predictive value of the E-CSM of Self-Regulation for dropout.
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Background: Emergency department utilization has increased tremendously over the past years, which is accompanied by an increased necessity for emergency medicine research to support clinical practice. Important sources of evidence are systematic reviews (SRs) and meta-analyses (MAs), but these can only be informative provided their quality is sufficiently high, which can only be assessed if reporting is adequate. The purpose of this study was to assess the quality of reporting of SRs and MAs in emergency medicine using the PRISMA statement. Methods: The top five emergency medicine related journals were selected using the 5-year impact factor of the ISI Web of Knowledge of 2015. All SRs and MAs published in these journals between 2015 and 2016 were extracted and assessed independently by two reviewers on compliance with each item of the PRISMA statement. Results: The included reviews (n = 112) reported a mean of 18 ± 4 items of the PRISMA statement adequately. Reviews mentioning PRISMA adherence did not show better reporting than review without mention of adherence (mean 18.6 (SE 0.4) vs. mean 17.8 (SE 0.5); p = 0.214). Reviews published in journals recommending or requiring adherence to a reporting guideline showed better quality of reporting than journals without such instructions (mean 19.2 (SE 0.4) vs. mean 17.2 (SE 0.5); p = 0.001). Conclusion: There is room for improvement of the quality of reporting of SRs and MAs within the emergency medicine literature. Therefore, authors should use a reporting guideline such as the PRISMA statement. Active journal implementation, by requiring PRISMA endorsement, enhances quality of reporting.
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Sexual interest in children is an important factor contributing to sexual (re)offending against children. The current state of research makes it difficult to conclude if people with pedophilia are overly interested in children, or have lower interest in adults, or both. This is relevant knowledge in treatment for preventing sexual (re)offenses against children. This study aimed to systematically analyze sexual interest in both children and adults in samples of men with pedophilia and comparison groups. A total of 55 studies (N = 8465) were included in four meta-analyses and a systematic review. Most included studies considered people who had sexually offended against children (PSOC; nPSOC = 5213). Results indicated that PSOC with pedophilia did not have a clear sexual preference for either children or adults. Compared to comparison groups, they had more absolute sexual interest in children and lower sexual interest in adults. We conclude that the lack of sexual interest in adults may be a relevant factor in PSOC with pedophilia. More studies are needed to disentangle sexual interest in children from sexual interest in adults, while using carefully matched comparison groups and appropriate research designs.
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