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To prevent mistakes in psychological assessment, the precision of test norms is important. This can be achieved by drawing a large normative sample and using regression-based norming. Based on that norming method, a procedure for sample size planning to make inference on Z-scores and percentile rank scores is proposed. Sampling variance formulas for these norm statistics are derived and used to obtain the optimal design, that is, the optimal predictor distribution, for the normative sample, thereby maximizing precision of estimation. This is done under five regression models with a quantitative and a categorical predictor, differing in whether they allow for interaction and nonlinearity. Efficient robust designs are given in case of uncertainty about the regression model. Furthermore, formulas are provided to compute the normative sample size such that individuals' positions relative to the derived norms can be assessed with prespecified power and precision. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Objectives In elite figure skaters, to determine if there was a difference in volumetric bone mineral density and bone strength between 1) figure skaters and population-based normative data, 2) single or pair skaters and ice dancers, and 3) the landing and takeoff legs. Design Cross-sectional. Methods Figure skaters had their non-dominant distal radius and bilateral tibia scanned using high-resolution peripheral quantitative computed tomography. Volumetric bone mineral density was determined at the total, cortical and trabecular compartments, and finite element analysis estimated bone strength. Normative data was used to compare the total bone mineral density of figure skaters to a population-based cohort. Independent t-tests compared differences between skating discipline, and paired t-tests compared skeletal parameters for the landing and takeoff leg. Results Twenty elite skaters (mean age 22 ± 6.2; female = 11, male = 9) completed scans. Compared with the general population, the mean percentile rank for skaters' total volumetric bone mineral density was below normal at the radius (27th percentile) and normal at the tibia (54th percentile). Single or pair skaters had more robust bone in the landing compared with their takeoff leg. Specifically, the landing leg had higher total bone mineral density (2.8%) and trabecular bone mineral density (6.5%), and superior bone strength (8.5%) than the takeoff leg (p Conclusions Volumetric bone mineral density and strength differences in figure skaters were discipline dependent. Side-to-side differences were observed in single and pair skaters where the landing leg is denser, larger and stronger than the takeoff leg.

OBJECTIVE This study examines the role of electronic learning platforms for medical knowledge acquisition in orthopedic surgery residency training. This study hypothesizes that all methods of medical knowledge acquisition will achieve similar levels of improvement in medical knowledge as measured by change in orthopedic in-training examination (OITE) percentile scores. Our secondary hypothesis is that residents will equally value all study resources for usefulness in acquisition of medical knowledge, preparation for the OITE, and preparation for surgical practice. DESIGN 9 ACGME accredited orthopedic surgery programs participated with 95% survey completion rate. Survey ranked sources of medical knowledge acquisition and study habits for OITE preparation. Survey results were compared to OITE percentile rank scores. PARTICIPANTS 386 orthopedic surgery residents SETTING 9 ACGME accredited orthopaedic surgery residency programs RESULTS 82% of participants were utilizing online learning resources (Orthobullets, ResStudy, or JBJS Clinical Classroom) as primary sources of learning. All primary resources showed a primary positive change in OITE score from 2018 to 2019. No specific primary source improved performance more than any other sources. JBJS clinical classroom rated highest for improved medical knowledge and becoming a better surgeon while journal reading was rated highest for OITE preparation. Orthopedic surgery residents’ expectation for OITE performance on the 2019 examination was a statistically significant predictor of their change (decrease, stay the same, improve) in OITE percentile scores (p CONCLUSIONS Our results showed that no specific preferred study source outperformed other sources. Significantly 82% of residents listed an online learning platform as their primary source which is a significant shift over the last decade. Further investigation into effectiveness of methodologies for electronic learning platforms in medical knowledge acquisition and in improving surgical competency is warranted.

Using proprietary data from a major fund data provider, we analyze the screening activity of investment consultants (ICs). We find that ICs frequently shortlist funds using threshold screens clustered at $500MM for AUM, 0% for benchmark-adjusted return, and quartiles for return percentile rank screens. Funds just above the $500MM AUM threshold get 14%–18% more page views and 5–9 pp greater flows over the next year compared to similar funds just below the threshold. Our results are consistent with ICs using a two-stage consider-then-choose decision-making process and cognitive reference numbers in selecting screening thresholds. (JEL G41, G11, G14, G29) Received January 8, 2021; editorial decision September 3, 2021. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Objective To develop a valid and reliable instrument for measuring attitudes toward osteopathic medicine. Methods Participants included 5,669 first-year students from 33 U.S. colleges of osteopathic medicine, who completed an online survey at the beginning of the 2019-2020 academic year. Using data from the nationwide Project in Osteopathic Medical Education and Empathy, we developed a 13-item instrument: Attitudes Toward Osteopathic Medicine Scale (ATOMS) and demonstrated the validity and reliability of its scores. The social desirability response bias was controlled in statistical analyses. Results The corrected item-total score correlations were all positive and statistically significant, and the effect sizes of item discrimination indices were large. Cronbach's coefficient alpha reliability was 0.83. Construct validity, corroborating face and content validity of the ATOMS, was supported by three components, emerged from factor analysis: "Perspectives on Osteopathic Medicine," "Osteopathic Diagnosis and Treatment," and "Holistic-Integrative Care." Correlations between ATOMS scores and scores of cognitive empathy, emotional empathy; orientation toward interprofessional collaboration; lifelong learning; and burnout were statistically significant in the expected direction, providing validity evidence for the ATOMS. Using the method of contrasted groups, significant differences in the ATOMS scores were found by gender, ethnicity, academic background, and career interest in the expected direction, supporting the validity of the ATOMS scores. National norms were developed to assess individual scores alongside national percentile ranks. Conclusions The ATOMS, developed in a nationwide study, supported by strong psychometric evidence for measuring orientation toward osteopathic medicine, has implications for the assessment of osteopathic medical education, patient outcomes, and admission decisions.

Several authors of late have contributed significantly towards developing mathematical models for selecting the best possible team from a host of players in different team sports, including cricket. The performance of cricketers on the different skill sets of the game, such as batting, bowling, and fielding, is considered for selecting optimum teams. Most of these mathematical models are divided into two parts. The first part tells about a method that can quantify the performance of cricketers, and the second part tells about a method that can select a squad of players from a more extensive collection of players based on the value of their performance, taking into consideration the different constraints of team selection and expertise of players. The teams formed through different methods cannot be made to play against each other, so there is no direct way to find out which method delivers the best team. Also, no competition between optimum teams obtained through different methods was ever performed in the absence of objective methodology for such comparison. This paper attempts to compare different team selection methods and identify the best mathematical model for team selection in cricket using the fantasy league scoring system.

Background The pass rate on the American Board of Internal Medicine (ABIM) nephrology certifying exam has declined and is among the lowest of all internal medicine (IM) subspecialties. In recent years, there have also been fewer applicants for the nephrology fellowship match. Methods This retrospective observational study assessed how changes between 2010 and 2019 in characteristics of 4094 graduates of US ACGME-accredited nephrology fellowship programs taking the ABIM nephrology certifying exam for the first time, and how characteristics of their fellowship programs were associated with exam performance. The primary outcome measure was performance on the nephrology certifying exam. Fellowship program pass rates over the decade were also studied. Results Lower IM certifying exam score, older age, female sex, international medical graduate (IMG) status, and having trained at a smaller nephrology fellowship program were associated with poorer nephrology certifying exam performance. The mean IM certifying exam percentile score among those who subsequently took the nephrology certifying exam decreased from 56.7 (SD, 27.9) to 46.1 (SD, 28.7) from 2010 to 2019. When examining individuals with comparable IM certifying exam performance, IMGs performed less well than United States medical graduates (USMGs) on the nephrology certifying exam. In 2019, only 57% of nephrology fellowship programs had aggregate 3-year certifying exam pass rates ≥80% among their graduates. Conclusions Changes in IM certifying exam performance, certain trainee demographics, and poorer performance among those from smaller fellowship programs explain much of the decline in nephrology certifying exam performance. IM certifying exam performance was the dominant determinant.

BACKGROUND: Several U.S. hospitals had surges in COVID-19 caseload, but their effect on COVID-19 survival rates remains unclear, especially independent of temporal changes in survival. OBJECTIVE: To determine the association between hospitals' severity-weighted COVID-19 caseload and COVID-19 mortality risk and identify effect modifiers of this relationship. DESIGN: Retrospective cohort study. (ClinicalTrials.gov: NCT04688372). SETTING: 558 U.S. hospitals in the Premier Healthcare Database. PARTICIPANTS: Adult COVID-19-coded inpatients admitted from March to August 2020 with discharge dispositions by October 2020. MEASUREMENTS: Each hospital-month was stratified by percentile rank on a surge index (a severity-weighted measure of COVID-19 caseload relative to pre-COVID-19 bed capacity). The effect of surge index on risk-adjusted odds ratio (aOR) of in-hospital mortality or discharge to hospice was calculated using hierarchical modeling; interaction by surge attributes was assessed. RESULTS: Of 144 116 inpatients with COVID-19 at 558 U.S. hospitals, 78 144 (54.2%) were admitted to hospitals in the top surge index decile. Overall, 25 344 (17.6%) died; crude COVID-19 mortality decreased over time across all surge index strata. However, compared with nonsurging (

Objectives: To Review the benefit of the GAST questionnaire (Tilston, S. 2003. Assessing the quality of life in adult cochlear implant users. MSc dissertation. London: City University.) to measure hearing related quality of life for adults pre and post-cochlear implantation. To develop a scoring methodology as to what score constitutes a significantly 'good' or 'poor' change to better target rehabilitation to those most in need.Design: The GAST Questionnaire was developed using a robust cycle of validation and reliability analyses using the Statistical Package for the Social Sciences (Norusis, M. 1993. SPSS for windows: professional statistics. release 6.0. Chicago: SPSS Inc.). The scoring methodology was developed by dividing 83 patient full data sets into quintiles for the delta of quality of life improvement and the 9-12 month post-implantation GAST score.Results: The GAST questionnaire design was deemed robust. The scoring methodology used led to the 20th percentile score highlighting individuals requiring further support and the 80th percentiles for those suitable for partial booking.Conclusion: The GAST questionnaire is a useful way of identifying the patients in need of support as well as to measure patient reported quality of life improvements following cochlear implantation.

Purpose Skin cancer is the most common, yet oftentimes preventable, cancer type in the United States. Exposure to ultraviolet radiation from sunlight is the most prominent environmental risk factor for skin cancer. Besides environmental exposure, demographic characteristics such as race, age, and socioeconomic status may make some groups more vulnerable. An exploratory spatial clustering method is described for identifying clusters of vulnerability to skin cancer incidence and mortality based on composite indices, which combine data from environmental and demographic risk factors. Methods Based on county-level ultraviolet data and demographic risk factors, two vulnerability indices for skin cancer were generated using an additive percentile rank approach. With these indices, univariate local Moran's I spatial autocorrelation identified significant clusters, or hotspots, of neighboring counties with high overall vulnerability indices. Clusters were identified separately for skin cancer incidence and mortality. Results Counties with high vulnerabilities were spatially distributed across the United States in a pattern that generally increased to the South and West. Clusters of counties with high skin cancer incidence vulnerability were mostly observed in Utah and Colorado, even with highly conservative levels of significance. Meanwhile, clusters for skin cancer mortality vulnerability were observed in southern Alabama and west Florida as well as across north Alabama, north Georgia and up through the Tennessee-North Carolina area. Conclusions Future skin cancer research and screening initiatives may use these innovative composite vulnerability indices and identified clusters to better target resources based on anticipated risk from underlying demographic and environmental factors.

Objective To determine the association between medical knowledge relevant to radiology practice (as measured by the Dutch radiology progress test [DRPT]) and clinical productivity during radiology residency. Methods This study analyzed the results of 6 DRPTs and time period–matched clinical production points of radiology residents affiliated to a tertiary care academic medical center between 2013 and 2016. The Spearman correlation analysis was performed to determine the association between DRPT percentile scores and average daily clinical production points. Linear regression analyses were performed to determine the association of DRPT percentile scores with average daily clinical production points, adjusted for age and gender of the radiology resident, and postgraduate year. Results Eighty-four DRPTs with time period–matched clinical production points were included. These 84 DRPTs were made by 29 radiology residents (18 males and 11 females) with a median age of 31 years (range: 26–38 years). The Spearman correlation coefficient between DRPT percentile scores and average daily clinical production points was 0.550 (95% confidence interval: 0.381–0.694) (p < 0.001), indicating a significant moderate positive association. On multivariate analysis, average daily clinical production points (β coefficient of 0.035, p = 0.003), female gender of the radiology resident (β coefficient of 12.690, p = 0.001), and postgraduate year (β coefficient of 10.179, p < 0.001) were significantly associated with DRPT percentile scores. These three independent variables achieved an adjusted R2 of 0.527. Conclusion Clinical productivity is independently associated with medical knowledge relevant to radiology practice during radiology residency. These findings indicate that clinical productivity of a resident could be a potentially relevant metric in a radiology training program. Key Points • There is a significant moderate correlation between medical knowledge relevant to radiology practice and clinical productivity during radiology residency. • Medical knowledge relevant to radiology practice remains independently associated with clinical productivity during radiology residency after adjustment for postgraduate year and gender. • Clinical productivity of a resident may be regarded as a potentially relevant metric in a radiology training program.

Motivation MHC-peptide binding prediction has been widely used for understanding the immune response of individuals or populations, each carrying different MHC molecules as well as for the development of immunotherapeutics. The results from MHC-peptide binding prediction tools are mostly reported as a predicted binding affinity (IC50) and the percentile rank score, and global thresholds e.g. IC50 value < 500 nM or percentile rank < 2% are generally recommended for distinguishing binding peptides from non-binding peptides. However, it is difficult to evaluate statistically the probability of an individual peptide binding prediction to be true or false solely considering predicted scores. Therefore, statistics describing the overall global false discovery rate (FDR) and local FDR, also called posterior error probability (PEP) are required to give statistical context to the natively produced scores. Result We have developed an algorithm and code implementation, called MHCVision, for estimation of FDR and PEP values for the predicted results of MHC-peptide binding prediction from the NetMHCpan tool. MHCVision performs parameter estimation using a modified expectation maximization framework for a two-component beta mixture model, representing the distribution of true and false scores of the predicted dataset. We can then estimate the PEP of an individual peptide’s predicted score, and conversely the probability that it is true. We demonstrate that the use of global FDR and PEP estimation can provide a better trade-off between sensitivity and precision over using currently recommended thresholds from tools. Availability and implementation https://github.com/PGB-LIV/MHCVision. Supplementary information Supplementary data are available at Bioinformatics online.

Background United States Medical Licensing Examination Step 1 (STEP 1) and Step 2 (STEP 2) scores are used in the selection of surgery residents. The American Board of Surgery In-Training Examination (ABSITE) is employed to assess resident knowledge. We sought to determine whether both STEP 1 and/or STEP 2 were predictive of ABSITE performance. Methods We performed a 10-year retrospective analysis of all PGY levels comparing STEP 1 and 2 scores with raw ABSITE scores and percentile rank. Additionally, we analyzed STEP 1 and 2 scores for the likelihood of scoring above the 20th percentile on the ABSITE. Results When STEP 1 and STEP 2 scores were evaluated separately, both were independent predictors of ABSITE performance. However, when STEP 1 and STEP 2 scores were evaluated together, only STEP 1 scores were predictive of ABSITE performance. Finally, only STEP 1 scores were predictive of scoring above the 20th percentile. Conclusion STEP 1 scores are a better predictor of ABSITE performance than STEP 2.

Diseases such as malaria, dengue, Zika and chikungunya remain endemic in many countries. Setting and deploying traps to capture the host/vector species are fundamental to understand their density and distributions. Human effort to manage the trap data accurately and timely is an exhaustive endeavour when the study area expands and period prolongs. One stop mobile app to manage and monitor the process of targeted species trapping, from field to laboratory level is still scarce. Toward this end, we developed a new mobile app named "PesTrapp" to acquire the vector density index based on the mobile updates of ovitraps and species information in field and laboratory. This study aimed to highlight the mobile app's development and design, elucidate the practical user experiences of using the app and evaluate the preliminary user assessment of the mobile app. The mobile app was developed using mobile framework and database. User evaluation of the mobile app was based on the adjusted Mobile App Rating Scale and Standardized User Experience Percentile Rank Questionnaire. The process flows of system design and detailed screen layouts were described. The user experiences with and without the app in a project to study Aedes surveillance in six study sites in Selangor, Malaysia were elucidated. The overall mean user evaluation score of the mobile app was 4.0 out of 5 (SD=0.6), reflects its acceptability of the users. The PesTrapp, a one-stop solution, is anticipated to improve the entomological surveillance work processes. This new mobile app can contribute as a tool in the vector control countermeasure strategies.

Purpose Previous studies of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) interview version suggested a second-order model, with a general disability factor and six factors on a lower level. The goal of this study is to investigate if we can find support for a similar higher-order factor structure of the 36-item self-report version of the WHODAS 2.0 in a Dutch psychiatric outpatient sample. We aim to give special attention to the differences between the non-working group sample and the working group sample. Additionally, we intend to provide preliminary norms for clinical interpretation of the WHODAS 2.0 scores in psychiatric settings. Methods Patients seeking specialized ambulatory treatment, primarily for depressive or anxiety symptoms, completed the WHODAS 2.0 as part of the initial interview. The total sample consisted of 770 patients with a mean age of 37.5 years (SD = 13.3) of whom 280 were males and 490 were females. Several factorial compositions (i.e., one unidimensional model and two second-order models) were modeled using confirmatory factor analysis (CFA). Descriptive statistics, model-fit statistics, reliability of the (sub)scales, and preliminary norms for interpreting test scores are reported. Results For the non-working group, the second-order model with a general disability factor and six factors on a lower level, provided an adequate fit. Whereas, for the working group, the second-order model with a general disability factor and seven factors on a lower level seemed more appropriate. The WHODAS 2.0 36-item self-report form showed adequate levels of reliability. Percentile ranks and normalized T-scores are provided to aid clinical evaluations. Conclusion Our results lend support for a factorial structure of the WHODAS 2.0 36-item self-report version that is comparable to the interview version. While we conjecture that a seven-factor solution might give a better reflection of item content and item variance, further research is needed to assess the clinical relevance of such a model. At this point, we recommend using the second-order structure with six factors that matches past findings of the interview form.

Monetary rewards granted on a per-publication basis to individual authors are an important policy instrument to stimulate scientific research. An inconsistent feature of many article reward schemes is that they use journal-level citation metrics. In this paper we assess the actual article-level citation impact of about 10,000 articles whose authors received financial rewards within the Romanian Program for Rewarding Research Results (PR3), an exemplary money-per-publication program that uses journal metrics to allocate rewards. We present PR3, offer a comprehensive empirical analysis of its results and a scientometric critique of its methodology. We first use a reference dataset of 1.9 million articles to compare the impact of each rewarded article from five consecutive PR3 editions to the impact of all the other articles published in the same journal and year. To determine the wider global impact of PR3 papers we then further benchmark their citation performance against the worldwide field baselines and percentile rank classes from the Clarivate Analytics Essential Science Indicators. We find that within their journals PR3 articles span the full range of citation impact almost uniformly. In the larger context of global broad fields of science almost two thirds of the rewarded papers are below the world average in their field and more than a third lie below the world median. Although desired by policymakers to exemplify excellence many PR3 articles are characterized by a rather commonplace individual citation performance and have not achieved the impact presumed and rewarded after publication based on journal metrics. Furthermore, identical rewards have been offered to articles with markedly different impact. Direct monetary incentives for articles may support productivity but they cannot guarantee impact.

Background: Informant-based measures are effective screening tools for cognitive impairment. The Alzheimer’s Questionnaire (AQ) is a subjective, informant-based measure that detects amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) with high sensitivity and specificity and has been shown to predict amyloid burden. Objective: To determine whether informant-based report of cognitive decline correlates with hippocampal volume changes in MCI and AD. Methods: Retrospective chart review of 139 clinically referred patients with clinical diagnoses of aMCI or mild dementia due to AD was conducted. Diagnostic status (clinical diagnosis made by a neurologist), NeuroQuant measured MRI brain with percentile rank hippocampal volume, Montreal Cognitive Assessment (MoCA) total, AQ-Total score, and demographic variables were extracted from medical records. Spearman correlation was used to assess the relationship between hippocampal volume and AQ-Total. The AQ was used to assign diagnostic status. Thus, the relationship between the AQ and diagnostic status was excluded. Results: The sample include 88 female and 51 male participants. The mean age was 74.37±9.45, mean MOCA was 22.65±4.18, mean education was 14.80±3.35, and mean AQ score was 10.54±5.22. Hippocampal volume and the AQ correlation was r = –0.33 [95%CI –0.47 to –0.17], p

Background Excessive media usage affects children’s health. This study investigated associations between children’s and mother’s media use, parent–child interactions, and early-childhood development outcomes. Methods Two hundred and ninety-six healthy 2–5-year-old preschoolers (52.4% male, mean age = 3.5 years) and 224 mothers from the LIFE Child cohort study were analyzed. Screen times and parent–child interactions were assessed using standardized parental questionnaires. Developmental skills were investigated using the standardized development test ET 6-6-R. Results High screen times in children (>1 h/day) were significantly associated with lower percentile ranks in cognition (b = −10.96, p b = −12.88, p b = −7.80, p = 0.05). High screen times in mothers (>5 h/day) were significantly associated with high media use by children (OR = 3.86, p b = 0.41, p = 0.05), cognition (b = 0.57, p b = 0.48, p = 0.02), and social–emotional outcomes (b = 0.80, p Conclusions Public health strategies should seek to educate caregivers as competent mediators for their children’s media habits, with focus on the need for children to have frequent parent–child interactions. Impact High media usage in children is related to poorer cognition, language, and social–emotional skills. More frequent parent–child interactions are associated with better body motor, cognition, language, and social–emotional skills in children. High level of media use in mothers is not directly related to children’s development outcomes but is directly related to high media usage of children. Public health strategies should seek to raise media awareness and management in both parents and children.

The moderating effects of motivation, social control, and self-regulation in predicting academic achievement were examined in Grades 11–12 for 3,281 seventh through nine graders. Standardized assessments of college readiness and student self-reported measures of psychosocial factors were used in the study. The results showed that females in Grades 7–9 scored higher than males for motivation and self-regulation. In predicting later achievement in Grades 11–12, motivation and social control moderated prior achievement, whereas self-regulation moderated both sex and prior achievement. Particularly among female students, effects of self-regulation were positive for high-achieving females (percentile rank ≥95) and negative for low-achieving females (percentile rank ≤5) in predicting achievement in Grades 11–12. The phenomenon known as the “Matthew Effect” and implications for classroom teachers and educational policymakers are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

Background To determine objective resident characteristics that correlate with Ophthalmic Knowledge Assessment Program (OKAP) performance, as well as to correlate OKAP performance with Accreditation Council for Graduate Medical Education (ACGME) milestone assessments, written qualifying examination (WQE) scores, and oral board pass rates. Methods Review of administrative records at an ACGME-accredited ophthalmology residency training program at an urban, tertiary academic medical center. Results The study included data from a total of 50 resident physicians who completed training from 2012 to 2018. Mean (standard deviation) OKAP percentile performance was 60.90 (27.51), 60.46 (28.12), and 60.55 (27.43) for Years 1, 2, and 3 examinations, respectively. There were no statistically significant differences based on sex, marital status, having children, MD/PhD degree, other additional degree, number of publications, number of first author publications, or grades on medical school medicine and surgery rotations. OKAP percentile scores were significantly associated with United States Medical Licensing Examination (USMLE) Step 1 scores (linear regression coefficient 0.88 [0.54–1.18], p = 0.008). Finally, continuous OKAP scores were significantly correlated with WQE (r s = 0.292, p = 0.049) and oral board (r s = 0.49, p = 0.001) scores. Conclusion Higher OKAP performance is correlated with passage of both WQE and oral board examinations during the first attempt. USMLE Step 1 score is the preresidency academic factor with the strongest association with success on the OKAP examination. Programs can utilize this information to identify those who may benefit from additional OKAP, WQE, and oral board preparation assistance.

Background Birth by caesarean section has been shown to alter the composition of the early infant gut microbiota and postulated to influence cognitive outcomes via the gut-brain axis. Aims To determine whether birth by caesarean section is associated with secondary school educational achievement. Methods Whole-population administrative data were used from anonymised individual level linkage of birth records to educational and health information from the New Zealand Integrated Data Infrastructure (IDI). Participants were 111 843 children born between 1 January 1996 and 31 December 1998 for whom mode of delivery information was available from International Classification of Diseases 9th edition codes in maternal records. The National Certificate of Educational Achievement (NCEA) is the main secondary school qualification undertaken by New Zealand students. Multivariable linear regression models were used to examine the association between mode of delivery and educational achievement. A family fixed effect analysis compared educational achievement outcomes in sibling pairs where one sibling was delivered by caesarean section and one delivered vaginally. Results After adjustment for potential confounders, there was no significant association between mode of delivery and achievement of university entrance (odds ratio = 0.98, 95% CI: 0.94-1.02). NCEA percentile scores were lower in caesarean born infants (Estimate = -0.37, 95% CI: -0.69 to -0.06)). However, in the fixed effect sibling analysis caesarean section was no longer significantly associated with NCEA percentile scores. Conclusions We find that caesarean section is not related to educational outcomes, suggesting that even if the infant gut microbiota is altered in caesarean section, it does not appear to have a measurable impact on adolescent academic achievement.

PURPOSE: This study’s aim was to use a representative sample of the US pediatric population to estimate percentiles for several PROMIS pediatric measures: Anger, Anxiety, Depressive Symptoms, Family Relationships, Fatigue, Global Health, Life Satisfaction, Meaning and Purpose, Pain Behavior, Pain Interference, Physical Activity, Physical Function Mobility, Physical Function Upper Extremity, Physical Stress Experiences, Positive Affect, Psychological Stress Experiences, Sleep Disturbance, Sleep Impairment, and Peer Relationships. METHODS: We used two separate, nationally representative samples of parents and children aged 5–17 years drawn in different years from the GfK Knowledge Panel, a dual-frame online probability panel. RESULTS: All measures that were developed using a representative sample had a median at or near the expected value of 50. For the other measures, the 50th percentile was often 10 points or more from 50. Several domains had high floors or low ceilings. No domain’s percentiles completely corresponded to the percentiles associated with a normal distribution with a mean of 50 and standard deviation of 10. CONCLUSIONS: This work allows users to interpret a child’s self-reported quality of life relative to children in the US general population. When attempting to evaluate whether a child falls above or below other children in the US, one should use the values presented in this study. In addition, we recommend that users should focus on whether a child’s score falls into one of a few broad severity groups rather than on specific percentile scores.

Background Little information on gross motor function of congenital Zika syndrome (CZS) children is available. Objectives To evaluate gross motor function in CZS children aged up to 3 years, and its associated factors and changes in a minimum interval of 6 months. Methods One hundred children with CZS and cerebral palsy (36 with confirmed and 64 with presumed CZS) were evaluated with the Gross Motor Function Classification System (GMFCS) and Gross Motor Function Measure (GMFM-88/GMFM-66). Forty-six were reevaluated. Wilcoxon tests, Wilcoxon tests for paired samples, percentile scores, and score changes were performed. Results Clinical and socioeconomic characteristics (except maternal age), GMFM scores and GMFCS classification of confirmed and probable cases, which were analyzed together, were similar. The mean age was 25.6 months (±5.5); the median GMFM-88 score was 8.0 (5.4–10.8); and the median GMFM-66 score was 20.5 (14.8–23.1); 89% were classified as GMFCS level V. Low economic class, microcephaly at birth, epilepsy, and brain parenchymal volume loss were associated with low GMFM-66 scores. The median GMFM-66 percentile score was 40 (20–55). On the second assessment, the GMFM-66 scores in two GMFCS level I children and one GMFCS level IV child improved significantly. In one GMFCS level III child, one GMFCS level IV child, and the group of GMFCS level V children, no significant changes were observed. Conclusions Almost all CZS children had severe cerebral palsy; in the third year of life, most presented no improvement in gross motor function and were likely approaching their maximal gross motor function potential.

ObjectiveUntreated vision problems are associated with poor school performance. Whether providing glasses alone improves performance, however, remains unknown. We sought to test whether receiving glasses was associated with improved school performance for low-income minority students in Los Angeles.MethodsFrom 2017 to 2018, we analyzed achievement marks in mathematics and language arts from 406 first to fifth grade students attending 24 public elementary schools who received glasses through a free school-based vision program between February and May 2014, and 23,393 of their nonparticipating same-school, same-grade peers. We calculated students' percentile rank during each grading period in 1 year before and 2 years since they received glasses. Multilevel linear regressions tested whether percentile rank differed from baseline at each subsequent grading period. Models accounted for clustering at the school level and controlled for gender, grade level, and baseline class rank. Interaction terms tested whether associations differed by gender and class rank.ResultsStudents increased 4.5 percentile points (P=.02) in language arts in the second year after receiving glasses. There was no change in math achievement overall; however, those with baseline performance in the bottom tercile had an immediate and sustained improvement of 10 to 24 percentile points from baseline (interaction term P < .001). Class rank for behavior marks decreased during the fourth grading period after receiving glasses but subsequently returned to baseline. There were no significant changes in work habits and no variation in results by gender.ConclusionsEnsuring access to vision care may be a simple, scalable strategy to improve language arts performance for low-income minority children.