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In many applications of linear mixed-effects models to longitudinal and multilevel data especially from medical studies, it is of interest to test for the need of random effects in the model. It is known that classical tests such as the likelihood ratio, Wald, and score tests are not suitable for testing random effects because they suffer from testing on the boundary of the parameter space. Instead, permutation and bootstrap tests as well as Bayesian tests, which do not rely on the asymptotic distributions, avoid issues with the boundary of the parameter space. In this paper, we first develop a permutation test based on the likelihood ratio test statistic, which can be easily used for testing multiple random effects and any subset of them in linear mixed-effects models. The proposed permutation test would be an extension to two existing permutation tests. We then aim to compare permutation tests and Bayesian tests for random effects to find out which test is more powerful under which situation. Nothing is known about this in the literature, although this is an important practical problem due to the usefulness of both methods in tackling the challenges with testing random effects. For this, we consider a Bayesian test developed using Bayes factors, where we also propose a new alternative computation for this Bayesian test to avoid some computational issue it encounters in testing multiple random effects. Extensive simulations and a real data analysis are used for evaluation of the proposed permutation test and its comparison with the Bayesian test. We find that both tests perform well, albeit the permutation test with the likelihood ratio statistic tends to provide a relatively higher power when testing multiple random effects. [ABSTRACT FROM AUTHOR]

Standard methods for two-sample tests such as the t-test and Wilcoxon rank sum test may lead to incorrect type I errors when applied to longitudinal or clustered data. Recent alternatives of two-sample tests for clustered data often require certain assumptions on the correlation structure and/or noninformative cluster size. In this paper, based on a novel pseudolikelihood for correlated data, we propose a score test without knowledge of the correlation structure or assuming data missingness at random. The proposed score test can capture differences in the mean and variance between two groups simultaneously. We use projection theory to derive the limiting distribution of the test statistic, in which the covariance matrix can be empirically estimated. We conduct simulation studies to evaluate the proposed test and compare it with existing methods. To illustrate the usefulness proposed test, we use it to compare self-reported weight loss data in a friends' referral group, with the data from the Internet self-joining group. [ABSTRACT FROM AUTHOR]

Are individuals willing to intervene in public violence? Half a century of research on the "bystander effect" suggests that the more bystanders present at an emergency, the less likely each of them is to provide help. However, recent meta-analytical evidence questions whether this effect generalizes to violent emergencies. Besides the number of bystanders present, an alternative line of research suggests that pre-existing social relations between bystanders and conflict participants are important for explaining whether bystanders provide help. The current paper offers a rare comparison of both factors-social relations and the number of bystanders present-as predictors of bystander intervention in real-life violent emergencies. We systematically observed the behavior of 764 bystanders across 81 violent incidents recorded by surveillance cameras in Copenhagen, Denmark. Bystanders were sampled with a case-control design, their behavior was observed and coded, and the probability of intervention was estimated with multilevel regression analyses. The results confirm our predicted association between social relations and intervention. However, rather than the expected reversed bystander effect, we found a classical bystander effect, as bystanders were less likely to intervene with increasing bystander presence. The effect of social relations on intervention was larger in magnitude than the effect of the number of bystanders. We assess these findings in light of recent discussions about the influence of group size and social relations in human helping. Further, we discuss the utility of video data for the assessment of real-life bystander behavior. [ABSTRACT FROM AUTHOR]

Aim: To determine the mortality rate, immediate cause of death (CoD), and predictors of death in children with cerebral palsy (CP) in rural Bangladesh.Method: We carried out a prospective population-based surveillance study of children with CP aged 0 to 18 years registered with the Bangladesh Cerebral Palsy Register (BCPR) between January 2015 and December 2016, with subsequent follow-up until December 2017. Verbal autopsy was applied to assign immediate CoD. Crude mortality rates, hazard ratios of death, and survival probabilities were estimated.Results: Twenty-nine of the 678 children in the BCPR died during the study period, resulting in a crude mortality rate of 19.5 per 1000 person-years of observation (total follow-up duration 1486.8 person-years; mean 2y [standard deviation 6mo]). The leading immediate CoD was meningitis (n=9) and pneumonia (n=8). Survival probability and hazard ratio of death was significantly associated with age, Gross Motor Functional Classification System level, and associated impairments. Severe underweight and/or severe stunting was significantly overrepresented among deceased children than others in the cohort (p<0.05) when compared with the World Health Organization reference population.Interpretation: The majority of deaths were due to potentially preventable causes. The life expectancy of these children could have been extended by ensuring primary healthcare and nutritional supplementation.What This Paper Adds: Mortality rate in children with cerebral palsy (CP) in rural Bangladesh is 19.5 per 1000 person-years. The majority of children with CP died from potentially preventable and treatable conditions. Motor severity, associated impairments, and malnutrition make children with CP vulnerable to premature death in rural Bangladesh. [ABSTRACT FROM AUTHOR]

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Epidemiologic research often aims to estimate the association between a binary exposure and a binary outcome, while adjusting for a set of covariates (eg, confounders). When data are clustered, as in, for instance, matched case-control studies and co-twin-control studies, it is common to use conditional logistic regression. In this model, all cluster-constant covariates are absorbed into a cluster-specific intercept, whereas cluster-varying covariates are adjusted for by explicitly adding these as explanatory variables to the model. In this paper, we propose a doubly robust estimator of the exposure-outcome odds ratio in conditional logistic regression models. This estimator protects against bias in the odds ratio estimator due to misspecification of the part of the model that contains the cluster-varying covariates. The doubly robust estimator uses two conditional logistic regression models for the odds ratio, one prospective and one retrospective, and is consistent for the exposure-outcome odds ratio if at least one of these models is correctly specified, not necessarily both. We demonstrate the properties of the proposed method by simulations and by re-analyzing a publicly available dataset from a matched case-control study on induced abortion and infertility. [ABSTRACT FROM AUTHOR]

The relative risk, risk difference, and odds ratio are three major indices of differences in risks of diseases between different groups. Although widely used in research and practice in biomedical and epidemiologic research, misconceptions are not uncommon about their relationships. Many publications offer contradicting advices in how to use them in studies. Some biomedical researchers believe that these indices are related in a monotone fashion, and, thus, changes in one direction in one of the indices can be interpreted as same directional changes in the other two. Misconceptions about these three indices such as the monotone relationship are so prevalent in the biomedical and epidemiologic research that clarifications of such popular beliefs are warranted. In this paper, we take a systematic approach to characterize the relationships among the indices. We develop key results to elucidate the intricate relationships between the indices. Our findings speak to the need for investigators to carefully consider the different indices before using them in their studies, since they are not interchangeable and results based on one index are generally not translatable into any of the others. [ABSTRACT FROM AUTHOR]

Among several semiparametric models, the Cox proportional hazard model is widely used to assess the association between covariates and the time-to-event when the observed time-to-event is interval-censored. Often, covariates are measured with error. To handle this covariate uncertainty in the Cox proportional hazard model with the interval-censored data, flexible approaches have been proposed. To fill a gap and broaden the scope of statistical applications to analyze time-to-event data with different models, in this paper, a general approach is proposed for fitting the semiparametric linear transformation model to interval-censored data when a covariate is measured with error. The semiparametric linear transformation model is a broad class of models that includes the proportional hazard model and the proportional odds model as special cases. The proposed method relies on a set of estimating equations to estimate the regression parameters and the infinite-dimensional parameter. For handling interval censoring and covariate measurement error, a flexible imputation technique is used. Finite sample performance of the proposed method is judged via simulation studies. Finally, the suggested method is applied to analyze a real data set from an AIDS clinical trial. [ABSTRACT FROM AUTHOR]

The proportional subdistribution hazard regression model has been widely used by clinical researchers for analyzing competing risks data. It is well known that quantile regression provides a more comprehensive alternative to model how covariates influence not only the location but also the entire conditional distribution. In this paper, we develop variable selection procedures based on penalized estimating equations for competing risks quantile regression. Asymptotic properties of the proposed estimators including consistency and oracle properties are established. Monte Carlo simulation studies are conducted, confirming that the proposed methods are efficient. A bone marrow transplant data set is analyzed to demonstrate our methodologies. [ABSTRACT FROM AUTHOR]

Introduction: Short-form versions of the Montreal Cognitive Assessment (SF-MoCA) are increasingly used to screen for dementia in research and practice. We sought to collate evidence on the accuracy of SF-MoCAs and to externally validate these assessment tools.Methods: We performed systematic literature searching across multidisciplinary electronic literature databases, collating information on the content and accuracy of all published SF-MoCAs. We then validated all the SF-MoCAs against clinical diagnosis using independent stroke (n = 787) and memory clinic (n = 410) data sets.Results: We identified 13 different SF-MoCAs (21 studies, n = 6477 participants) with differing test content and properties. There was a pattern of high sensitivity across the range of SF-MoCA tests. In the published literature, for detection of post stroke cognitive impairment, median sensitivity across included studies: 0.88 (range: 0.70-1.00); specificity: 0.70 (0.39-0.92). In our independent validation using stroke data, median sensitivity: 0.99 (0.80-1.00); specificity: 0.40 (0.14-0.87). To detect dementia in older adults, median sensitivity: 0.88 (0.62-0.98); median specificity: 0.87 (0.07-0.98) in the literature and median sensitivity: 0.96 (range: 0.72-1.00); median specificity: 0.36 (0.14-0.86) in our validation. Horton's SF-MoCA (delayed recall, serial subtraction, and orientation) had the most favorable properties in stroke (sensitivity: 0.90, specificity: 0.87, positive predictive value [PPV]: 0.55, and negative predictive value [NPV]: 0.93), whereas Cecato's "MoCA reduced" (clock draw, animal naming, delayed recall, and orientation) performed better in the memory clinic (sensitivity: 0.72, specificity: 0.86, PPV: 0.55, and NPV: 0.93).Conclusions: There are many published SF-MoCAs. Clinicians and researchers using a SF-MoCA should be explicit about the content. For all SF-MoCA, sensitivity is high and similar to the full scale suggesting potential utility as an initial cognitive screening tool. However, choice of SF-MoCA should be informed by the clinical population to be studied. [ABSTRACT FROM AUTHOR]

Objective: Slowing functional decline could enable people living with dementia to live for longer and more independently in their own homes. We aimed to update previous syntheses examining the effectiveness of nonpharmacological interventions in reducing functional decline (activities of daily living, activity-specific physical functioning, or function-specific goal attainment) in people living in their own homes with dementia.Methods: We systematically searched electronic databases from January 2012 to May 2018; two researchers independently rated risk of bias of randomised controlled trials (RCTs) fitting predetermined inclusion criteria using a checklist; we narratively synthesised findings, prioritising studies judged to have a lower risk of bias.Results: Twenty-nine papers (describing 26 RCTs) met eligibility criteria, of which we judged 13 RCTs to have a lower risk of bias. Study interventions were evaluated in four groups: physical exercise, occupational, multicomponent, and cognition-oriented interventions. Four out of 13 RCTs reported functional ability as a primary outcome. In studies judged to have a lower risk of bias, in-home tailored exercise, individualised cognitive rehabilitation, and in-home activities-focussed occupational therapy significantly reduced functional decline relative to control groups in individual studies. There was consistent evidence from studies at low risk of bias that group-based exercise and reminiscence therapies were ineffective at reducing functional decline.Conclusion: We found no replicated evidence of intervention effectiveness in decreasing functional decline. Interventions associated with slower functional decline in individual trials have been individually delivered and tailored to the needs of the person with dementia. This is consistent with previous findings. Future intervention trials should prioritise these approaches. [ABSTRACT FROM AUTHOR]

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: The incidence of a peri-implant soft tissue dehiscence/deficiency (PSTD) is not a rare finding. Despite multiple previous attempts aimed at correcting the PSTDs, a classification of these conditions has not yet been proposed. This lack in the literature may also lead to discrepancies in the reported treatment outcomes and thus misinform the clinician or the readers. The aim of the present article was therefore to present a classification of peri-implant PSTD at a single implant site.Methods: Four classes of PSTDs were discussed based on the position of the gingival margin of the implant-supported crown in relation to the homologous natural tooth. In addition, the bucco-lingual position of the implant head was also taken into consideration. Each class was further subdivided based on the height of the anatomical papillae.Results: Subsequently, for each respective category a surgical approach (including bilaminar techniques, the combined prosthetic-surgical approach or soft tissue augmentation with a submerged healing) was also suggested.Conclusion: This paper provides a new classification system for describing PSTDs at single implant sites, with the appropriate recommended treatment protocol. [ABSTRACT FROM AUTHOR]

Abstract: This paper aims to highlight the importance of aspiring to achieve universal reporting of maternal deaths as a part of taking responsibility for these avoidable tragedies. The paper first discusses the reasons for reporting maternal deaths, distinguishing between individual case notification and aggregate statistics. This is followed by a summary of the status of reporting at national and international levels, as well as major barriers and facilitators to this process. A new framework is then proposed — the REPORT framework, designed to highlight six factors essential to universal reporting. Malaysia is used to illustrate the relevance of these factors. Finally, the paper makes a Call to Action by FIGO to promote REPORT and to encourage health professionals to play their part in improving the quality of reporting on all maternal deaths — not just those directly in their care. [Copyright &y& Elsevier]

Purpose: This paper focuses attention on declining rates of instrumental (vacuum or forceps) delivery. The decline often means that women must travel further to deliver in hospitals with capacity for cesarean delivery.Background: The paper illustrates recent trends in the use of vacuum extraction and forceps in low- and high-income countries. It describes some of the obstacles to the use of instrumental delivery and why the techniques, especially vacuum extraction, should be reintroduced. Over the past two decades, many countries have observed a decline in instrumental delivery rates while cesarean rates have increased. Objections to instrumental delivery are largely due to the potential harm it causes newborns. Some medical schools no longer train their professionals to perform instrumental delivery. Elsewhere, only specialists are permitted to perform the procedures.Methods and Results: As this is a policy paper rather than a research report, the methods and results sections are not applicable.Conclusions: Vacuum extraction can be taught to midlevel practitioners (midwives, nurse practitioners and general physicians), thereby increasing access to emergency obstetric care especially at the periphery. This allows women to give birth closer to home in midlevel facilities when hospitals are not easily accessible or are overcrowded. Where instrumental and cesarean delivery are both available, instrumental delivery could potentially reduce the risks associated with cesarean delivery and reduce the costs of obstetric care. [ABSTRACT FROM AUTHOR]

Many countries produce data on the prevalence and duration of breastfeeding, but are they reliable? We reviewed 16 studies on breastfeeding in Italy published after 1990. They report a prevalence of breastfeeding at and around birth ranging from 66% to 91%, decreasing to 17-52% at 4 mo and 28-36% at 6 mo. Most studies refer to a non-representative sample of the Italian population. Two studies used standard definitions of breastfeeding, but their results are difficult to interpret or cannot be generalized. Five other studies used non-standard definitions that undermine the interpretation of results. The remaining nine studies used no definition at all. All studies used a recall period different from 24 h, or from the whole hospital stay for breastfeeding at discharge, making the interpretation of results even more difficult. We conclude that the published information gives an inaccurate picture of the prevalence and duration of breastfeeding in Italy, leading to unjustified optimism and inaction. The actual figures may be lower, as shown by preliminary data from a small Italian region: using standard definitions and methods during a 9-mo monitoring period, exclusive breastfeeding averaged 35% at discharge and 23% at about 4 mo of age. [ABSTRACT FROM AUTHOR]

Aim: To evaluate safety and motor function after treatment with allogeneic umbilical cord blood (AlloCB) or umbilical cord tissue-derived mesenchymal stromal cells (hCT-MSC) in children with cerebral palsy (CP).Method: Ninety-one children (52 males, 39 females; median age 3 years 7 months [range 2-5 years]) with CP due to hypoxic-ischemic encephalopathy, stroke, or periventricular leukomalacia were randomized to three arms: (1) the AlloCB group received 10 × 107 AlloCB total nucleated cells (TNC) per kilogram at baseline (n = 31); (2) the hCT-MSC group received 2 × 106 hCT-MSC at baseline, 3 months, and 6 months (n = 28); (3) the natural history control group received 10 × 107 AlloCB TNC per kilogram at 12 months (n = 31). Motor function was assessed with the Gross Motor Function Measure-66 (GMFM-66) and Peabody Developmental Motor Scale, Second Edition.Results: Infusions (n = 143) were well tolerated, with eight infusion reactions (three in the AlloCB group, five in hCT-MSC) and no other safety concerns. At 12 months, the mean differences (95% confidence intervals [CI]) between actual and expected changes in GMFM-66 score were AlloCB 5.8 points (3.4-8.2), hCT-MSC 4.3 (2.2-6.4), and natural history 3.1 (1.4-5.0). In exploratory, post hoc analysis, the mean GMFM-66 score (95% CI) of the hCT-MSC group was 1.4 points higher than natural history (-1.1 to 4.0; p = 0.27), and the AlloCB group was 3.3 points higher than natural history (0.59-5.93; p = 0.02) after adjustment for baseline Gross Motor Function Classification System level, GMFM-66 score, and etiology.Interpretation: High-dose AlloCB is a potential cell therapy for CP and should be further tested in a randomized, blinded, placebo-controlled trial.What This Paper Adds: Unrelated donor allogeneic umbilical cord blood (AlloCB) and human umbilical cord tissue-derived mesenchymal stromal cell infusion is safe in young children with cerebral palsy. Significant changes in motor function were not observed 6 months after treatment. One year later, treatment with AlloCB was associated with greater increases in Gross Motor Function Measure-66 scores. [ABSTRACT FROM AUTHOR]

In this paper, we present a unified modeling framework to combine aggregated data from randomized controlled trials (RCTs) with individual participant data (IPD) from observational studies. Rather than simply pooling the available evidence into an overall treatment effect, adjusted for potential confounding, the intention of this work is to explore treatment effects in specific patient populations reflected by the IPD. In this way, by collecting IPD, we can potentially gain new insights from RCTs' results, which cannot be seen using only a meta-analysis of RCTs. We present a new Bayesian hierarchical meta-regression model, which combines submodels, representing different types of data into a coherent analysis. Predictors of baseline risk are estimated from the individual data. Simultaneously, a bivariate random effects distribution of baseline risk and treatment effects is estimated from the combined individual and aggregate data. Therefore, given a subgroup of interest, the estimated treatment effect can be calculated through its correlation with baseline risk. We highlight different types of model parameters: those that are the focus of inference (e.g., treatment effect in a subgroup of patients) and those that are used to adjust for biases introduced by data collection processes (e.g., internal or external validity). The model is applied to a case study where RCTs' results, investigating efficacy in the treatment of diabetic foot problems, are extrapolated to groups of patients treated in medical routine and who were enrolled in a prospective cohort study. [ABSTRACT FROM AUTHOR]

Issue addressed Alcohol-related road crashes are a leading cause of the injury burden experienced by Indigenous Australians. Existing drink driving programs are primarily designed for the mainstream population. The 'Hero to Healing' program was specifically developed with Indigenous communities and is underpinned by the Community Reinforcement Approach (CRA). This paper reports on the formative evaluation of the program from delivery in two Far North Queensland communities. Methods Focus groups and semistructured interviews were conducted with drink driver participants (n=17) and other Elders and community members (n=8) after each program. Qualitative content analysis was used to categorise the transcripts. Results The CRA appealed to participants because of its flexible nature and encouragement of rearranging lifestyle factors, without specific focus on alcohol use. Participants readily identified with the social and peer-related risk and protective factors discussed. Cofacilitation of the program with Elders was identified as a key aspect of the program. More in-depth discussion about cannabis and driving, anger management skills and relationship issues are recommended. Conclusions Participants' recognition of content reinforced earlier project results, particularly the use of kinship pressure to motivate younger family members to drink drive. Study findings suggest that the principles of the CRA are useful; however, some amendments to the CRA components and program content were necessary. So what? Treating drink driving in regional and remote Indigenous Australian communities as a community and social issue, rather than an individual phenomenon, is likely to lead to a reduction in the number of road-related injuries Indigenous people experience. [ABSTRACT FROM AUTHOR]

Objective: The 10/36 Spatial Recall Test is a measure of visuospatial memory and has been recommended for inclusion when administering a brief cognitive assessment to patients with multiple sclerosis by multiple groups. However, a notable limitation of the measure includes a lack of normative data with demographic corrections. Thus, the primary objective of the current study was to examine demographic influences on the 10/36 Spatial Recall Test and to introduce demographically corrected normative data for the instrument.Methods: Data were collected from 116 participants over the age of 50 years. All study participants were free of any neurologic disease or disorder and classified as cognitively intact by a consensus conference team that was comprised of neurologists and neuropsychologists. All study participants were administered a neuropsychological evaluation that included the 10/36 Spatial Recall Test Version A at the baseline visit.Results: 10/36 Spatial Recall Test scores were affected by age, education, and race. Gender effects were not observed. Given these effects, regression equations were used to correct for the effects of demographic variables. The z-scores obtained from these corrections were not significantly influenced by demographical variables.Conclusion: The demographic corrections introduced in this paper offer the possibility to enhance the clinical utility of the 10/36 Spatial Recall Test. [ABSTRACT FROM AUTHOR]

How health care providers are paid affects how medicine is practiced. It is thus important to assess provider payment models not only from the economic perspective but also from the ethical perspective. China recently started to reform the provider payment model in the health care system from fee-for-service to case-based payment. This paper aims to examine this transition from an ethical perspective. We collected empirical studies on the impact of case-based payment in the Chinese health care system and applied a systematic ethical matrix that integrates clinical ethics and public health ethics to analyze the empirical findings. We identified eleven prominent ethical issues related to case-based payment. Some ethical problems of case-based payment in China are comparable to ethical problems of managed care and diagnosis related groups in high-income countries. However, in this paper we discuss in greater detail four specific ethical issues in the Chinese context: professionalism, the patient-physician relationship, access to care and patient autonomy. Based on the analysis, we cautiously infer that case-based payment is currently more ethically acceptable than fee-for-service in the context of China, mainly because it seems to lower financial barriers to access care. Nonetheless, it will be difficult to justify the implementation of case-based payment if no additional measures are taken to monitor and minimize its existing negative ethical implications. [ABSTRACT FROM AUTHOR]

Background: Current research has identified how ethnic minority women experience poorer health outcomes during the perinatal period. In the United Kingdom, specialist perinatal mental health services provide mental health treatment for women throughout the perinatal period. Service users have previously highlighted that perinatal services are hard to access and lack cultural sensitivity, whereas healthcare professionals have described limited opportunities and resources for developing cultural competency. Objectives: We explored the experiences of ethnic minority women with National Health Service (NHS) specialist perinatal teams and identified what culturally sensitive perinatal mental health care means to this group. Design: Individual semi‐structured interviews were conducted, and an interpretative phenomenological analysis framework was used to analyse the interview transcripts. Setting and Participants: Participants were recruited from NHS specialist perinatal teams and online via social media. Results: Six women were interviewed. Four group experiential themes central to the experiences of participants emerged: (1) strengthening community networks and peer support; (2) valuing cultural curiosity; (3) making sense of how culture, ethnicity, race and racism impact mental health; and (4) tailoring interventions to ethnic minority women and their families. Discussion and Conclusions: The findings capture how ethnic minority women experience specialist perinatal teams and offer insights into practising culturally sensitive care. Perinatal mental health professionals can support ethnic minority women by strengthening their access to community resources and peer support; being curious about their culture; helping them to make sense of how culture, ethnicity, race and mental health interact; and applying cultural and practical adaptations to interventions. Patient or Public Contribution: A Lived Experience Advisory Group (LEAG) of women from ethnic minority groups contributed to the design and conduct of this study. The LEAG had lived experience of perinatal mental health conditions and accessing specialist perinatal teams. The LEAG chose to co‐produce specific aspects of the research they felt fit with their skills and available time throughout five group sessions. These aspects included developing the interview topic guide, a structure for debriefing participants and advising on the social media recruitment strategy. [ABSTRACT FROM AUTHOR]

Objectives: Providing personal demographic information is routine practice in the United States, and yet, little is known about the impacts of this process. This study aims to examine the experiences and perspectives of Multiracial/ethnic adults in the United States when disclosing racial/ethnic identity. Methods: Seventeen semistructured interviews were conducted with adults identifying as Multiracial/ethnic. The Multiracial/ethnic identities of participants included Black or African American and White; Black or African American, American Indian or Alaska Native (AI/AN) and Hispanic or Latino; Black or African American and Hispanic or Latino; Black or African American and AI/AN; AI/AN and White and Asian, Native Hawaiian or Pacific Islander and White. Multiple participants reported identifying with multiple ethnic groups for any single broad category. Three identified as sexual minorities. Nine were Millennials; six were Gen X; one was Gen Z; one was Baby Boomer. Qualitative data were analyzed using staged hybrid inductive–deductive thematic analysis. Results: Disclosure of racial and ethnic identities presents a unique stressor for Multiracial/ethnic populations due to methods used to obtain data, perceived mismatch of identity and phenotype and exposure to prejudice. Social norms, constructs and movements impact the categories that a Multiracial/ethnic person indicates to external parties. Conclusions: The stress and negative feelings that Multiracial/ethnic adults face when identifying their race/ethnicity underscore the broader implications of standard demographic questions on feelings of inclusivity and visibility within a population. Patient or Public Contribution: Gathering data on individuals' racial and ethnic backgrounds is a standard practice, and yet, it can pose challenges for those who identify with multiple groups or do not see their identities reflected in the options provided. Such individuals may feel excluded or experience unfair treatment when disclosing their identity, leading to significant stress. As the frequency of this data collection increases, it is essential that the questions are posed empathetically and equitably, with a strong commitment to enhancing inclusivity throughout the process. [ABSTRACT FROM AUTHOR]

Adolescence is a critical period of physical, cognitive, and social development that needs to be supported with healthy diets. Dietary behaviours of adolescents can be shaped by their nutrition‐literacy and their interaction with parents and peers as well as their school food environment. Therefore, the present study aimed to assess factors that influence dietary behaviours of adolescents in urban Ethiopia. Sex‐disaggregated, focused group discussions (n = 70) were conducted in 36 private and government schools (n = 12/city) among adolescents (n = 432) 15–19 years of age in Addis Ababa, Bahir Dar, and Dire Dawa. Photovoice was applied in a subgroup of participants (n = 216) to gain further insights into adolescents' perception of their school food environment. Key informant interviews were conducted among school principals (n = 36). Adolescents had a relatively good nutrition knowledge and recognised the importance of diverse diets, but misperceptions also existed. They identified fruit and vegetables as healthy foods, but their consumption was deterred by food safety concerns. The adolescents identified foods high in salt, fat, and sugar, including processed/packaged foods as unhealthy, but still consumed them frequently due to their taste, affordability, availability and accessibility in and around schools. Both undernutrition and overweight/obesity were linked to social exclusion and bullying in school. Effective behavioural change communication is required to address common misperceptions. School nutrition programs should integrate water, sanitation and hygiene programs to ensure food safety. Regulations promoting healthy eating while discouraging unhealthy dietary behaviours are vital. Interventions to make nutrient‐dense and healthy foods available, accessible, and affordable are urgently needed to improve the nutrition and health outcome of adolescents. Key messages: Adolescents had a relatively good nutrition knowledge, but misperceptions also existedFoods high in fat, sugar, and salt, but also processed/packaged foods were considered unhealthy, but were frequently consumedUnhealthy foods were widely available/accessible in the school food environmentComprehensive food safety and nutrition interventions are needed at schoolsRegulations for availability and advertising of unhealthy foods in and around schools are needed. [ABSTRACT FROM AUTHOR]

Acute malnutrition affects not only the growth and development but also the body composition of children. However, its specific effects have not yet been characterized. This study aims to compare the body composition of 5–7‐year‐old children with moderate acute malnutrition (MAM) to that of their well‐nourished (WN) peers and identify associated factors. A school‐based comparative cross‐sectional study was conducted from June to July 2022 in Jimma town, southwest Ethiopia. The study participants were selected from eight kindergartens and eight primary schools using a simple random sampling technique based on the proportional allocation of the sample to the size of the population in the respective school. Descriptive statistics and multivariable linear regression analyses were used to assess the mean differences and associations between variables and isolate independent predictors of body composition, respectively. The statistical significance was determined using ß‐coefficients with 95% confidence intervals and a p value of ≤ 0.05. Data were captured from 388 (194 MAM and 194 WN) children with a response rate of 97.9%. The mean fat‐free mass of WN children was significantly higher compared with those with MAM (p < 0.001). The mean (SD) of fat mass of MAM children was 4.23 ± 0.72 kg, 4.36 ± 0.88 kg and 4.08 ± 0.89 kg for 5, 6 and 7‐year‐olds, respectively. For WN children, the mean (SD) of fat mass was 4.92 ± 0.88 kg for 5 years old, 5.64 ± 1.01 kg for 6 years old and 5.75 ± 1.26 kg for 7 years old (p < 0.001). On the multivariable linear regression analysis after controlling for background variables, WN children exhibited 1.51 times higher fat‐free mass compared with MAM children (β = 1.51, p = 0.003). A unit increase in age of the study participants was associated with a 1.37 increment in fat‐free mass (β = 1.37, p < 0.001). WN children had 1.07 times higher fat mass compared with children with MAM (β = 1.07, p < 0.001). A unit increase in the age of the child resulted in 0.15 times increment in fat mass (β = 0.15, p = 0.020), and being female was associated with a 0.37 increase in fat mass (β = 0.37, p < 0.001). The results showed that the mean fat mass and fat‐free mass were significantly lower among moderately acute malnourished children than in WN children showing the loss of both body compartments due to malnutrition. The body mass index for age, age of the child and sex of the child were significantly linked to both fat‐free mass and fat mass. Key messages: This study demonstrated that children aged 5–7 years suffering from moderate acute malnutrition (MAM) have lower mean body fat mass (FM) and fat‐free mass (FFM) as compared with well‐nourished (WN) children.The substantial difference observed between MAM and WN children in body FM and FFM calls for the integration of MAM treatment into the routine health services to prevent their sliding down to SAM and associated mortality. [ABSTRACT FROM AUTHOR]

To address high rates of malnutrition among children from vulnerable households in Rwanda, the government initiated a national food supplementation programme. A before and after evaluation, using repeat cross‐sectional surveys in randomly selected villages was conducted; aimed at assessing the effectiveness of providing fortified blended food (FBF) to children 18–23 months of age, pregnant and lactating women in the lowest tier of Rwanda's social support system. Data were collected in 2017, 2018 and 2021 through interviews with caregivers; anthropometric measurements and a capillary blood sample were obtained from children. The primary statistical analysis compared the nutritional status of children before and after the introduction of FBF. We enroled 724 children during each survey. The prevalence of stunting declined from 47% to 35% between 2017 and 2021; in 2018, the prevalence of stunting was 43%. Children had a 42% reduction in the odds of being stunted (adjusted odds ratio [AOR]: 0.58, 95% confidence interval [CI]: 0.47–0.74, p < 0.001) from 2017 to 2021 even after adjusting for inherent, distal, proximal, and intermediate covariates. The reduction in stunting observed within the first year of the programme was not statistically significant (AOR: 0.83, 95% CI: 0.67–1.03, p < 0.091). We observed meaningful reductions in the prevalence of stunting among children which coincided with the introduction of Government‐led initiative to reduce malnutrition. The Rwandan Government has committed to improving the living conditions of vulnerable households and has made strong investments in reducing malnutrition. The impact of these investments can be seen in the overall trend towards improved nutritional status highlighted in this evaluation. Key messages: The national distribution of fortified blended food (FBF) to pregnant and lactating women and 6‐ to 23‐month‐old children living in the most vulnerable households was associated with a meaningful reduction in stunted linear growth, iron deficiency and anaemia among young children after 5 years.This study indicates that stunted linear growth, in early childhood, can be reduced over 5 years when the government is committed to and invests in improving the living conditions of vulnerable households, including the national food supplementation programme.It was attainable to distribute FBF to vulnerable pregnant and lactating women and 6‐ to 23‐month‐old children, in a national programme, over the 5‐year evaluation period, including during the COVID‐19 pandemic. [ABSTRACT FROM AUTHOR]

Objectives: To undertake a bibliometric analysis of the physiotherapy literature at two points in time to identify similarities, differences, and the evolution of scholarship over a 40‐year time‐frame. Method: To undertake a quantitative comparative analysis of the published and indexed scholarship literature contained within Scopus relating to physiotherapy over two 10‐year time windows—1978–1987 and 2008–2017. The method used, bibliometrics, is capable of identifying the nature of scholarship, the key actors, and how the focus and methods used to conduct studies have changed. A specialized bibliographic analysis and visualization tool VosViewer (University of Leiden) was used to analyse the extracted results. Results: There has been a more than 10‐fold increase in the number of papers published across the two time‐frames (3,384 from the 1978 to 1987 period and 38,434 from 2008 to 2017). The focus of publication has moved from a medical disease orientated approach to one more specifically looking at physiotherapy interventions aimed at addressing functional ability. In addition, a more diverse range of research approaches are being used as well as efforts to synthesize findings across multiple studies using systematic reviews and meta‐analytical techniques. Authors now come from a much wider range of countries than they did 40 years ago, and they are more likely to be part of a large international collaborative research teams. Conclusions: This unique and comprehensive analysis of physiotherapy scholarship across two different timeframes has provided important insights into the evolution of the profession, its changing focus and methodological approaches as well as the dramatic increase in activity, growth in research teams and diversity of country origins. For anyone entering the profession at this time, it provides a perspective on the pace of change they are likely to experience in their career ahead. [ABSTRACT FROM AUTHOR]

In this paper, we derive the joint distribution of progression-free and overall survival as a function of transition probabilities in a multistate model. No assumptions on copulae or latent event times are needed and the model is allowed to be non-Markov. From the joint distribution, statistics of interest can then be computed. As an example, we provide closed formulas and statistical inference for Pearson's correlation coefficient between progression-free and overall survival in a parametric framework. The example is inspired by recent approaches to quantify the dependence between progression-free survival, a common primary outcome in Phase 3 trials in oncology and overall survival. We complement these approaches by providing methods of statistical inference while at the same time working within a much more parsimonious modeling framework. Our approach is completely general and can be applied to other measures of dependence. We also discuss extensions to nonparametric inference. Our analytical results are illustrated using a large randomized clinical trial in breast cancer. [ABSTRACT FROM AUTHOR]

Analyzing safety data from clinical trials to detect safety signals worth further examination involves testing multiple hypotheses, one for each observed adverse event (AE) type. There exists certain hierarchical structure for these hypotheses due to the classification of the AEs into system organ classes, and these AEs are also likely correlated. Many approaches have been proposed to identify safety signals under the multiple testing framework and tried to achieve control of false discovery rate (FDR). The FDR control concerns the expectation of the false discovery proportion (FDP). In practice, the control of the actual random variable FDP could be more relevant and has recently drawn much attention. In this paper, we proposed a two-stage procedure for safety signal detection with direct control of FDP, through a permutation-based approach for screening groups of AEs and a permutation-based approach of constructing simultaneous upper bounds for false discovery proportion. Our simulation studies showed that this new approach has controlled FDP. We demonstrate our approach using data sets derived from a drug clinical trial. [ABSTRACT FROM AUTHOR]

When several types of recurrent events may arise, interest often lies in marginal modeling and studying the nature of the dependence structure. In this paper, we propose a multivariate mixed-Poisson model with the dependence between events accommodated by type-specific random effects which are associated through use of a Gaussian copula. Such models retain marginal features with a simple interpretation, reflect the heterogeneity in risk for each type of event, and provide insight into the dependence between the different types of events. Semiparametric inference is proposed based on composite likelihood to avoid high dimensional integration. An application to a study of nutritional supplements in malnourished children is given in which the goal is to evaluate the reduction in the rate of several different kinds of infection. [ABSTRACT FROM AUTHOR]

Bayesian adaptive designs have become popular because of the possibility of increasing the number of patients treated with more beneficial treatments, while still providing sufficient evidence for treatment efficacy comparisons. It can be essential, for regulatory and other purposes, to conduct frequentist analyses both before and after a Bayesian adaptive trial, and these remain challenging. In this paper, we propose a general simulation-based approach to compare frequentist designs with Bayesian adaptive designs based on frequentist criteria such as power and to compute valid frequentist p-values. We illustrate our approach by comparing the power of an equal randomization (ER) design with that of an optimal Bayesian adaptive (OBA) design. The Bayesian design considered here is the dynamic programming solution of the optimization of a specific utility function defined by the number of successes in a patient horizon, including patients whose treatment will be affected by the trial's results after the end of the trial. While the power of an ER design depends on treatment efficacy and the sample size, the power of the OBA design also depends on the patient horizon size. Our results quantify the trade-off between power and the optimal assignment of patients to treatments within the trial. We show that, for large patient horizons, the two criteria are in agreement, while for small horizons, differences can be substantial. This has implications for precision medicine, where patient horizons are decreasing as a result of increasing stratification of patients into subpopulations defined by molecular markers. [ABSTRACT FROM AUTHOR]

Wearable device technology allows continuous monitoring of biological markers and thereby enables study of time-dependent relationships. For example, in this paper, we are interested in the impact of daily energy expenditure over a period of time on subsequent progression toward obesity among children. Data from these devices appear as either sparsely or densely observed functional data and methods of functional regression are often used for their statistical analyses. We study the scalar-on-function regression model with imprecisely measured values of the predictor function. In this setting, we have a scalar-valued response and a function-valued covariate that are both collected at a single time period. We propose a generalized method of moments-based approach for estimation, while an instrumental variable belonging in the same time space as the imprecisely measured covariate is used for model identification. Additionally, no distributional assumptions regarding the measurement errors are assumed, while complex covariance structures are allowed for the measurement errors in the implementation of our proposed methods. We demonstrate that our proposed estimator is L2 consistent and enjoys the optimal rate of convergence for univariate nonparametric functions. In a simulation study, we illustrate that ignoring measurement error leads to biased estimations of the functional coefficient. The simulation studies also confirm our ability to consistently estimate the function-valued coefficient when compared to approaches that ignore potential measurement errors. Our proposed methods are applied to our motivating example to assess the impact of baseline levels of energy expenditure on body mass index among elementary school-aged children. [ABSTRACT FROM AUTHOR]

The literature on causal effect estimation tends to focus on the population mean estimand, which is less informative as medical treatments are becoming more personalized and there is increasing awareness that subpopulations of individuals may experience a group-specific effect that differs from the population average. In fact, it is possible that there is underlying systematic effect heterogeneity that is obscured by focusing on the population mean estimand. In this context, understanding which covariates contribute to this treatment effect heterogeneity (TEH) and how these covariates determine the differential treatment effect (TE) is an important consideration. Towards such an understanding, this paper briefly reviews three approaches used in making causal inferences and conducts a simulation study to compare these approaches according to their performance in an exploratory evaluation of TEH when the heterogeneous subgroups are not known a priori. Performance metrics include the detection of any heterogeneity, the identification and characterization of heterogeneous subgroups, and unconfounded estimation of the TE within subgroups. The methods are then deployed in a comparative effectiveness evaluation of drug-eluting versus bare-metal stents among 54 099 Medicare beneficiaries in the continental United States admitted to a hospital with acute myocardial infarction in 2008. [ABSTRACT FROM AUTHOR]

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Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Though there is a burgeoning interest in applied Buddhist ethics, Buddhist animal research ethics remains an underdeveloped area. In this paper I will explore how some central Buddhist ethical considerations can usefully engage our use of other animals (henceforth, animals) in science. As the scientific use of animals is broad, I will narrow my focus to laboratory science. I will show that, though a Buddhist abolitionism would not be unmotivated, it is possible to reject it. While doing so, it will be important to resist emphasizing elements of Buddhist thought that merely provide reasons to adopt the dominant ethical framework governing laboratory animal research ethics, known as the 3Rs. Though I will suggest how a Buddhist animal research ethics can sometimes permit the use of animals in harmful research, it will also require ethical constraints that resonate with some of the more progressive elements in 'Western' bioethics. [ABSTRACT FROM AUTHOR]

Community engagement in research, including public health related research, is acknowledged as an ethical imperative. While medical care and public health action take priority over research during infectious disease outbreaks, research is still required in order to learn from epidemic responses. The World Health Organisation developed a guide for community engagement during infectious disease epidemics called the Good Participatory Practice for Trials of Emerging (and Re-emerging) Pathogens that are Likely to Cause Severe Outbreaks in the Near Future and for which Few or No Medical Counter-Measures Exist (GPP-EP). This paper identified priorities for community engagement for research conducted during infectious disease outbreaks drawing on discussions held with a purposive sample of bioethicists, social scientists, researchers, policy makers and laypersons who work with ethics committees in West Africa. These perspectives were considered in the light of the GPP-EP, which adds further depth and dimension to discussions on community engagement frameworks. It concludes that there is no presumptive justification for the exclusion of communities in the design, implementation and monitoring of clinical trials conducted during an infectious disease outbreak. Engagement that facilitates collaboration rather than partnership between researchers and the community during epidemics is acceptable. [ABSTRACT FROM AUTHOR]

"Vulnerability" is a key concept for research ethics and public health ethics. This term can be discussed from either a conceptual or a practical perspective. I previously proposed the metaphor of layers to understand how this concept functions from the conceptual perspective in human research. In this paper I will clarify how my analysis includes other definitions of vulnerability. Then, I will take the practical-ethical perspective, rejecting the usefulness of taxonomies to analyze vulnerabilities. My proposal specifies two steps and provides a procedural guide to help rank layers. I introduce the notion of cascade vulnerability and outline the dispositional nature of layers of vulnerability to underscore the importance of identifying their stimulus condition. In addition, I identify three kinds of obligations and some strategies to implement them. This strategy outlines the normative force of harmful layers of vulnerability. It offers concrete guidance. It contributes substantial content to the practical sphere but it does not simplify or idealize research subjects, research context or public health challenges. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the effects of augmented reality (AR) activities on students' academic achievement and motivation in a biology course. For this purpose, a mixed study was conducted, and a pretest and posttest control group model was used. In addition, the opinions of the experimental group students and the teacher about the AR activities were taken, and classroom observations were made during the study. The study group consisted of 40 (22 female and 18 male) ninth‐grade biology course students. The control group followed the biology course programme, whereas the experimental group students conducted AR activities in addition to the course programme using tablets. Consequently, it was found that the motivation of the students in the experimental group increased more than that of the students in the control group. However, no significant difference was found between the academic achievement scores of the groups. The teacher and the students stated that AR activities might be effective in increasing course success and motivation. Lay Description: What is already known about this topic: Biology is one of the fields that cover too many abstract and invisible contents.Abstract and invisible course contents cause misunderstandings and low academic achievement.Augmented reality (AR) technology stands out with its visualization feature.AR appears to be an effective technology for making invisible subjects visible and giving concrete examples for abstract content in biology education.What this paper adds: AR activities could positively affect students' motivation in biology courses.Students' perceptions of the augmented reality into classroom are highly positive.AR activities raise students' participation to the course.However, AR does not significantly affect students' academic achievement.Implications for practice and/or policy: More long‐term and interaction‐based AR activities in a school with proper infrastructure might influence students' academic achievement positively.AR materials that have better image quality, more interesting design for students, and more interactivity will increase the effectiveness of instruction.It could be beneficial to use more AR technology when preparing curricula and textbooks. [ABSTRACT FROM AUTHOR]

Copyright of Developmental Medicine & Child Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)