Biomarker panels for fruit intake assessment: a metabolomics analysis in the ELSA-Brasil study.

INTRODUCTION: Food intake biomarkers are used to estimate dietary exposure; however, selecting a single biomarker to evaluate a specific dietary component is difficult due to the overlap of diverse compounds from different foods. Therefore, combining two or more biomarkers can increase the sensitivity and specificity of food intake estimates. OBJECTIVE: This study aimed to evaluate the ability of metabolite panels to distinguish between self-reported fruit consumers and non-consumers among participants in the Longitudinal Study of Adult Health. MATERIALS AND METHODS: A total of 93 healthy adults of both sexes were selected from the Longitudinal Study of Adult Health. A 24-h dietary recall was obtained using the computer-assisted 24-h food recall GloboDiet software, and 24-h urine samples were collected from each participant. Metabolites were identified in urine using liquid chromatography coupled with high-resolution mass spectrometry by comparing their exact mass and fragmentation patterns using free-access databases. Multivariate receiver operating characteristic curve (ROC) analysis and partial least squares discriminant analysis were used to verify the ability of the metabolite combination to classify daily and non-daily fruit consumers. Fruit intake was identified using a 24 h dietary recall (24 h-DR). RESULTS: Bananas, grapes, and oranges are included in the summary. The panel of biomarkers exhibited an area under the curve (AUC) > 0.6 (Orange AUC = 0.665; Grape AUC = 0.622; Bananas AUC = 0.602; All fruits AUC = 0.679; Citrus AUC = 0.693) and variable importance projection score > 1.0, and these were useful for assessing the sensitivity and predictability of food intake in our population. CONCLUSION: A panel of metabolites was able to classify self-reported fruit consumers with strong predictive power and high specificity and sensitivity values except for banana and total fruit intake.

Association between dietary patterns and carotid intima-media thickness: cross-sectional analysis of ELSA-Brasil study.

PURPOSE: We aimed to perform a cross-sectional evaluation of the association between dietary patterns and carotid intima-media thickness (cIMT), using baseline data from the Brazilian Longitudinal Study of Adult Health. METHODS: The participants with measurement of the cIMT were included (n = 9,624). cIMT was evaluated in a continuous way and categorized as < 75th and ≥ 75th and ≤ 0.9 mm and > 0.9 mm. Dietary patterns (DPs) were identified by principal component factor analysis. Linear and logistic regression models were used to evaluate the association between cIMT and DPs. RESULTS: Three DPs were derived. For each unit increase in the convenience DP score, the odds for cIMT ≥ 75th increased by 13% (OR 1.13; 95% CI 1.05: 1.22) and for cIMT > 0.9 mm increased by 14% (OR 1.14; 95% CI 1.07: 1.22) in the fully adjusted model. In contrast, each unit increase in the prudent DP score decreased by 8% the odds of having cIMT ≥ 75th (OR 0.92; 95% CI 0.86: 0.98) and by 11% of cIMT > 0.9 mm (OR 0.89; 95% CI 0.84: 0.95). Furthermore, each increase in the convenience DP score was associated with increase in the cIMT (ß 0.01; 95% CI 0.01: 0.02), while each increase in the prudent DP score was associated with decrease in the cIMT (ß -0.01; -0.01; -0.01) in linear regression models. CONCLUSIONS: Our results demonstrate that those individuals with adherence to the convenience dietary pattern are more likely to have high cIMT, while those with adherence to a prudent dietary pattern have lower odds for this characteristic.

Dietary patterns and subclinical atherosclerosis incidence and progression: Results from ELSA-Brasil.

BACKGROUND AND AIMS: Cardiovascular disease (CVD) is the main cause of disease burden worldwide. Coronary artery calcification (CAC) score is a subclinical atherosclerosis marker able to predict the risk of CVD in asymptomatic patients, and few studies have investigated the association between dietary patterns (DP) and CAC score prospectively. Thus, the aim of this study was to estimate the association between baseline DP and CAC score incidence and progression on the ELSA-Brasil cohort. METHODS AND RESULTS: This study is a longitudinal prospective analysis of the ELSA-Brasil participants who underwent a CAC exam on baseline and follow-up (n = 2,824). CAC incidence was defined as a baseline CAC score equal to zero (n = 2,131) and subsequent follow-up CAC score greater than zero. CAC progression was defined according to the Hokanson method for the individuals who presented a CAC score greater than zero at the baseline (n = 639). Dietary data were assessed at the baseline using a food frequency questionnaire (FFQ), and factor analysis was applied to identify DP. Poisson regression models with robust variance and linear regression models were applied to estimate the association between baseline DP and CAC incidence and progression. The incidence of CAC was 14.6%, while 60.3% of the individuals presented CAC progression. Three DP were identified: convenience, Brazilian traditional, and prudent. We did not find a significant association between baseline DP and CAC incidence or progression. CONCLUSION: Our findings from this longitudinal prospective analysis showed that baseline DP are not associated with CAC incidence or progression.

Biomarkers of Fruit Intake Using a Targeted Metabolomics Approach: an Observational Cross-Sectional Analysis of the ELSA-Brasil Study.

BACKGROUND: Advances in technology have led to the identification of a greater number of metabolites related to diet. Although fruit intake biomarkers have been reported in some studies, these findings require further replication, considering the relevance of fruits for diet quality and health. OBJECTIVES: The aim of this study was to explore the associations of a set of potential urinary biomarkers of diet, assessed using a targeted metabolomics approach, with self-reported fruit intake data in participants of a computer-assisted 24-h dietary recall (GloboDiet software) validation study. METHODS: A total of 93 individuals aged 43-72 y, 54% female, participated in this study. The subjects were a subsample of the Longitudinal Study of Adult Health (ELSA-Brasil). A 24-h dietary recall was obtained with the aid of GloboDiet software matching a 24-h urine sample from each participant. Candidate biomarkers were selected in a literature search and identified in urine by LC coupled to high-resolution MS. Spearman correlation analyses were performed between fruit intake and each biomarker. RESULTS: Spearman correlation analysis showed that total fruits intake was significantly correlated with citric acid (ρ = 0.213, P = 0.041), ferulic acid sulfate I (ρ = 0.240, P = 0.020), hesperetin glucuronide/homoeriodictyol glucuronide (ρ = 0.303, P = 0.003), hydroxyhippuric acid (ρ = 0.239, P = 0.021), homovanillic alcohol sulfate (ρ = 0.339, P = 0.001), methylgallic acid sulfate (ρ = 0.268, P = 0.009), naringenin glucuronide (NG; ρ = 0.278, P = 0.007), proline betaine (PB; ρ = 0.305, P = 0.003), syringic acid sulfate (ρ = 0.210, P = 0.044), and sinapic acid sulfate (ρ = 0.412, P < 0.001). Among them, 3 have been described in literature as promising biomarkers for intake of total fruit, oranges, and citrus fruit: NG, hesperetin glucuronide, and PB. CONCLUSIONS: Associations of total fruits intake with urinary measurements indicate the potential usefulness of dietary biomarkers in the Brazilian population as a complement to self-reported dietary assessments.

Census of heat tolerance among Florida's threatened staghorn corals finds resilient individuals throughout existing nursery populations.

The rapid loss of reef-building corals owing to ocean warming is driving the development of interventions such as coral propagation and restoration, selective breeding and assisted gene flow. Many of these interventions target naturally heat-tolerant individuals to boost climate resilience, but the challenges of quickly and reliably quantifying heat tolerance and identifying thermotolerant individuals have hampered implementation. Here, we used coral bleaching automated stress systems to perform rapid, standardized heat tolerance assays on 229 colonies of Acropora cervicornis across six coral nurseries spanning Florida's Coral Reef, USA. Analysis of heat stress dose-response curves for each colony revealed a broad range in thermal tolerance among individuals (approx. 2.5°C range in Fv/Fm ED50), with highly reproducible rankings across independent tests (r = 0.76). Most phenotypic variation occurred within nurseries rather than between them, pointing to a potentially dominant role of fixed genetic effects in setting thermal tolerance and widespread distribution of tolerant individuals throughout the population. The identification of tolerant individuals provides immediately actionable information to optimize nursery and restoration programmes for Florida's threatened staghorn corals. This work further provides a blueprint for future efforts to identify and source thermally tolerant corals for conservation interventions worldwide.

Ingestion of magnesium was not associated with coronary calcium score in a cross-sectional study.

Background and aims: Magnesium plays a key role in glucose metabolism, vascular tone, and inflammation. Therefore, it might be a dietary risk factor for cardiovascular diseases. In vitro and animal studies have suggested a decrease in vascular calcification with an increase in the magnesium intake. The objective of the present study was to investigate the association between magnesium intake and coronary artery calcium (CAC) score among participants of the ELSA-Brasil. Methods: This is an observational, cross-sectional study undertaken with a sub-sample from the ELSA-Brasil baseline data. In this sub-sample, only participants with CAC examination data were included (n = 4,306). Dietary intake was assessed by a validated food frequency questionnaire. The association between magnesium intake and presence of CAC (0 versus > 0) was investigated using multiple logistic regression models. Results: The participants were predominantly female (54.4 %), with self-reported white skin color (59.1 %), no smoking habit (53.7 %) and undergraduate or postgraduate education (44.4 %). The range of magnesium consumption was 37.24 - 1266.31 mg/day. CAC prevalence was 28.4 %. No significant association was found between magnesium intake and CAC after adjustments for diet, lifestyle, and clinical characteristics. In a first univariate model, the fifth quintile of magnesium intake, in comparison to the first quintile (lowest intake), resulted in an OR = 1.25, 95 % CI: 1.01 - 1.54 (P-linear trend = 0.005). However, in the last fully adjusted model, the fifth quintile of magnesium intake resulted in OR = 0.86, 95 % CI: 0.64 - 1.17 (P-linear trend = 0.239). Conclusions: In ELSA-Brasil, the intake of magnesium was not associated with the presence of coronary artery calcification.

Improving health with programmatic, legal, and policy approaches to reduce gender inequality and change restrictive gender norms.

Evidence that gender inequalities and restrictive norms adversely affect health is extensive; however, far less research has focused on testing solutions. We first comprehensively reviewed the peer-reviewed and grey literature for rigorously evaluated programmes that aimed to reduce gender inequality and restrictive gender norms and improve health. We identified four mutually reinforcing factors underpinning change: (1) multisectoral action, (2) multilevel, multistakeholder involvement, (3) diversified programming, and (4) social participation and empowerment. Following this review, because little research has investigated the effects of national-level law and policy reforms, we conducted original quasi-experimental studies on laws and policies related to education, work, and income, all social determinants of health in which deep gender inequalities exist. We examined whether the laws and policies significantly affected health outcomes and gender norms, and whether law-induced and policy-induced changes in gender norms mediated the health effects, in areas for which longitudinal data existed. Laws and policies that made primary education tuition-free (13 intervention countries with the law and/or policy and ten control countries without) and that provided paid maternity and parental leave (seven intervention and 15 control countries) significantly improved women's and their children's health (odds ratios [OR] of 1·16-2·10, depending on health outcome) and gender equality in household decision making (OR 1·46 for tuition-free and 1·45 for paid maternity and parental leave) as a proxy indicator of gender norms. Increased equality partially mediated the positive effects on health outcomes. We conclude by discussing examples of how improved governance can support gender-equitable laws, policies, and programmes, immediate next steps, and future research needs.

Enhancing epilepsy self-management and quality of life for adults with epilepsy with varying social and educational backgrounds using PAUSE to Learn Your Epilepsy.

PURPOSE: People with epilepsy (PWE) come from a wide variety of social backgrounds and educational skillsets, making self-management (SM) education for improving their condition challenging. Here, we evaluated whether a mobile technology-based personalized epilepsy SM education intervention, PAUSE to Learn Your Epilepsy (PAUSE), improves SM measures such as self-efficacy, epilepsy SM behaviors, epilepsy outcome expectations, quality of life (QOL), and personal impact of epilepsy in adults with epilepsy. METHODS: Recruitment for the PAUSE study occurred from October 2015 to March 2019. Ninety-one PWE were educated using an Internet-enabled computer tablet application that downloads custom, patient-specific educational programs from Epilepsy.com. Validated self-reported questionnaires were used for outcome measures. Participants were assessed at baseline (T0), the first follow-up at completion of the PWE-paced 8-12-week SM education intervention (T1), and the second follow-up at least 3 months after the first follow-up (T2). Multiple linear regression was used to assess within-subject significant changes in outcome measures between these time points. RESULTS: The study population was diverse and included individuals with a wide variety of SM educational needs and abilities. The median time for the first follow-up assessment (T1) was approximately 4 months following the baseline (T0) and 8 months following baseline for the second follow-up assessment (T2). Participants showed significant improvement in all SM behaviors, self-efficacy, outcome expectancy, QOL, and personal impact of epilepsy measures from T0 to T1. Participants who scored lower at baseline tended to show greater improvement at T1. Similarly, results showed that participant improvement was sustained in the majority of SM measures from T1 to T2. CONCLUSION: This study demonstrated that a mobile technology-based personalized SM intervention is feasible to implement. The results provide evidence that epilepsy SM behavior and practices, QOL, outcome expectation for epilepsy treatment and management, self-efficacy, and outcome expectation and impact of epilepsy significantly improve following a personalized SM education intervention. This underscores a greater need for a pragmatic trial to test the effectiveness of personalized SM education, such as PAUSE to Learn Your Epilepsy, in broader settings specifically for the unique needs of the hard-to-reach and hard-to-treat population of PWE.

Self-management skills and behaviors, self-efficacy, and quality of life in people with epilepsy from underserved populations.

PURPOSE: People with epilepsy (PWE) from underserved populations face significant barriers to epilepsy management and therefore may lack knowledge about epilepsy and self-management (SM) of epilepsy. This paper evaluates SM practices, self-efficacy, outcome expectancy, quality of life, and personal impact of epilepsy in PWE from underserved populations as compared with all PWE. METHODS: Recruitment for the Managing Epilepsy Well (MEW) Network PAUSE to Learn Your Epilepsy study occurred from October 2015 to March 2019. Participants were assessed at baseline; after SM education intervention; and 6-, 9-, and 15-month postbaseline assessment. Baseline data from 112 PWE were analyzed for this report. RESULTS: Study population was diverse: 63% were women, 47.3% were non-Hispanic black, 24.1% were Hispanic, and 57.4% had public healthcare coverage. Participants on average had epilepsy for 14 years, and 49.1% reported at least one seizure within the past month, but only 27% reported having used a seizure diary or calendar for seizure tracking. Self-management practices & behaviors were significantly lower among PWE from underserved populations than all PWE, though self-efficacy among PWE from underserved populations was significantly higher. CONCLUSION: This study identifies the unique epilepsy SM needs of PWE from underserved populations. We discuss the need for a personalized approach for developing SM skills and behaviors among these PWE.

Development and Implementation of a Pediatric Trauma Survivors Network Program.

: The Trauma Survivors Network (TSN) was developed as a program of the American Trauma Society (ATS) to support recovery for adult trauma patients. However, the children of adult trauma patients, families of pediatric trauma patients, and pediatric trauma patients previously had scarce resources. Our institution, in collaboration with the ATS, sought to expand the TSN to support pediatric trauma patients, caregivers, and family members. We aimed to determine whether the TSN could be transferred to the pediatric population. Focus groups identified psychosocial needs of younger survivors, children of adult survivors, and caregivers. A Pediatric TSN Coordinator was hired, Pediatric TSN Peer Visitors were recruited and trained, and Pediatric TSN Activity Hour was implemented for pediatric patients and families. Since implementation 1 year ago, 26 peer visitors have been trained and have conducted approximately 200 visitations. In total, 93 patients and family members have attended Pediatric TSN Activity Hour. TSN services can be adapted to address psychosocial needs of pediatric trauma survivors, families, and children of trauma survivors. When possible, sharing resources between an existing adult TSN program and a pediatric program is valuable to facilitate expansion. TSN complements and strengthens the care offered at our institution by providing patient-centered and family-centered care services for the entire family at various stages of development. The implementation of this program might be different at sites without an existing adult TSN with established resources and support. This article describes the development and implementation of the program; we did not assess outcomes.

Assessing gaps and poverty-related inequalities in the public and private sector family planning supply environment of urban Nigeria.

Nigeria is the most populous country in Africa, and its population is expected to double in <25 years (Central Intelligence Agency 2012; Fotso et al. 2011). Over half of the population already lives in an urban area, and by 2050, that proportion will increase to three quarters (United Nations, Department of Economic and Social Affairs, Population Division 2012; Measurement Learning & Evaluation Project, Nigerian Urban Reproductive Health Initiative, National Population Commission 2012). Reducing unwanted and unplanned pregnancies through reliable access to high-quality modern contraceptives, especially among the urban poor, could make a major contribution to moderating population growth and improving the livelihood of urban residents. This study uses facility census data to create and assign aggregate-level family planning (FP) supply index scores to 19 local government areas (LGAs) across six selected cities of Nigeria. It then explores the relationships between public and private sector FP services and determines whether contraceptive access and availability in either sector is correlated with community-level wealth. Data show pronounced variability in contraceptive access and availability across LGAs in both sectors, with a positive correlation between public sector and private sector supply environments and only localized associations between the FP supply environments and poverty. These results will be useful for program planners and policy makers to improve equal access to contraception through the expansion or redistribution of services in focused urban areas.

Gender-transformative programmes: a framework for demonstrating evidence of social impact.

Ample evidence has demonstrated that gender inequality and restrictive gender norms wield significant influence over health outcomes. While gender-transformative programmes have grown with the aim of challenging these norms and promoting gender equality, their effectiveness in driving sustainable norm change remains a subject of debate. This paper introduces a comprehensive analytical framework designed to assess the impact of these programmes.Drawing from extensive literature reviews of rigorously evaluated health programmes, this framework identifies four key dimensions that are instrumental in determining a programme's potential for transformative change. These dimensions are multiplicative effect, sustainability, spread and scalability. Multiplicative effect emphasises the interconnected nature of societal systems, positing that altering one element can trigger cascading effects throughout the entire system. Sustainability recognises that change within a system is less likely to revert once the structure has shifted. Programmes that facilitate norm change are more likely to sustain the changes brought about by their interventions. Spread acknowledges the importance of engaging entire networks that share the targeted norms. Successful programmes should demonstrate evidence of gender-related outcomes extending beyond the immediate beneficiaries, progressively diffusing through the broader population. Finally, scalability emphasises the need to bring gender-transformative initiatives to a larger scale to effect broader norm change.By aligning programme design and evaluation with these four dimensions, the proposed framework provides a standardised approach for assessing gender-transformative programmes. It shifts the focus from individual-level change to systemic transformation, bridging the gap between programmatic aspirations and the ability to measure genuine progress.

How sensitive are the evaluations of a school's effectiveness to the selection of covariates in the applied value-added model?

There is no final consensus regarding which covariates should be used (in addition to prior achievement) when estimating value-added (VA) scores to evaluate a school's effectiveness. Therefore, we examined the sensitivity of evaluations of schools' effectiveness in math and language achievement to covariate selection in the applied VA model. Four covariate sets were systematically combined, including prior achievement from the same or different domain, sociodemographic and sociocultural background characteristics, and domain-specific achievement motivation. School VA scores were estimated using longitudinal data from the Luxembourg School Monitoring Programme with some 3600 students attending 153 primary schools in Grades 1 and 3. VA scores varied considerably, despite high correlations between VA scores based on the different sets of covariates (.66 < r < 1.00). The explained variance and consistency of school VA scores substantially improved when including prior math and prior language achievement in VA models for math and prior language achievement with sociodemographic and sociocultural background characteristics in VA models for language. These findings suggest that prior achievement in the same subject, the most commonly used covariate to date, may be insufficient to control for between-school differences in student intake when estimating school VA scores. We thus recommend using VA models with caution and applying VA scores for informative purposes rather than as a mean to base accountability decisions upon. Supplementary Information: The online version contains supplementary material available at 10.1007/s11092-022-09386-y.

Indoleamine 2,3-dioxygenase mediates the antiviral effect of gamma interferon against hepatitis B virus in human hepatocyte-derived cells.

Alpha interferon (IFN-α) is an approved medication for chronic hepatitis B. Gamma interferon (IFN-γ) is a key mediator of host innate and adaptive antiviral immunity against hepatitis B virus (HBV) infection in vivo. In an effort to elucidate the antiviral mechanism of these cytokines, 37 IFN-stimulated genes (ISGs), which are highly inducible in hepatocytes, were tested for their ability to inhibit HBV replication upon overexpression in human hepatoma cells. One ISG candidate, indoleamine 2,3-dioxygenase (IDO), an IFN-γ-induced enzyme catalyzing tryptophan degradation, efficiently reduced the level of intracellular HBV DNA without altering the steady-state level of viral RNA. Furthermore, expression of an enzymatically inactive IDO mutant did not inhibit HBV replication, and tryptophan supplementation in culture completely restored HBV replication in IDO-expressing cells, indicating that the antiviral effect elicited by IDO is mediated by tryptophan deprivation. Interestingly, IDO-mediated tryptophan deprivation preferentially inhibited viral protein translation and genome replication but did not significantly alter global cellular protein synthesis. Finally, tryptophan supplementation was able to completely restore HBV replication in IFN-γ- but not IFN-α-treated cells, which strongly argues that IDO is the primary mediator of IFN-γ-elicited antiviral response against HBV in human hepatocyte-derived cells.

Value-added scores show limited stability over time in primary school.

Value-added (VA) models are used for accountability purposes and quantify the value a teacher or a school adds to their students' achievement. If VA scores lack stability over time and vary across outcome domains (e.g., mathematics and language learning), their use for high-stakes decision making is in question and could have detrimental real-life implications: teachers could lose their jobs, or a school might receive less funding. However, school-level stability over time and variation across domains have rarely been studied together. In the present study, we examined the stability of VA scores over time for mathematics and language learning, drawing on representative, large-scale, and longitudinal data from two cohorts of standardized achievement tests in Luxembourg (N = 7,016 students in 151 schools). We found that only 34-38% of the schools showed stable VA scores over time with moderate rank correlations of VA scores from 2017 to 2019 of r = .34 for mathematics and r = .37 for language learning. Although they showed insufficient stability over time for high-stakes decision making, school VA scores could be employed to identify teaching or school practices that are genuinely effective-especially in heterogeneous student populations.

Estimation of underreporting of energy intake using different methods in a subsample of the ELSA-Brasil study.

Existing methods for assessing food consumption are subject to measurement errors, especially the underreporting of energy intake, characterized by reporting energy intake below the minimum necessary to maintain body weight. This study aimed to compare the identification of energy intake underreporters using different predictive equations and instruments to collect dietary data. The study was conducted with 101 selected participants in the third wave of the Longitudinal Study of Adult Health (ELSA-Brasil) at the University Hospital of the University of São Paulo. For the dietary assessment, we applied a food frequency questionnaire (FFQ), two 24-hour diet recall (24hR) using the GloboDiet software, and two 24hR using the Brasil-Nutri software. The energy intake underreport obtained from the FFQ was 13%, 16%, and 1% using the equations proposed by Goldberg et al. (1991), Black (2000), and McCrory et al. (2002), respectively. With these same equations, the 24hR described an underreport of 9.9%, 14.9%, and 0.9% respectively with the GloboDiet software and 14.7%, 15.8%, and 1.1% respectively with the Brasil-Nutri software. We verified a low prevalence of underreported energy intake among the three self-report-based dietary data collection methods (FFQ, 24hR with GloboDiet, and Brasil-Nutri). Though no statistically significant differences were found among three methods, the equations for each method differed among them. The agreement of energy intake between the methods was very similar, but the best was between GloboDiet and Brasil-Nutri.

Contrasting Classical and Machine Learning Approaches in the Estimation of Value-Added Scores in Large-Scale Educational Data.

There is no consensus on which statistical model estimates school value-added (VA) most accurately. To date, the two most common statistical models used for the calculation of VA scores are two classical methods: linear regression and multilevel models. These models have the advantage of being relatively transparent and thus understandable for most researchers and practitioners. However, these statistical models are bound to certain assumptions (e.g., linearity) that might limit their prediction accuracy. Machine learning methods, which have yielded spectacular results in numerous fields, may be a valuable alternative to these classical models. Although big data is not new in general, it is relatively new in the realm of social sciences and education. New types of data require new data analytical approaches. Such techniques have already evolved in fields with a long tradition in crunching big data (e.g., gene technology). The objective of the present paper is to competently apply these "imported" techniques to education data, more precisely VA scores, and assess when and how they can extend or replace the classical psychometrics toolbox. The different models include linear and non-linear methods and extend classical models with the most commonly used machine learning methods (i.e., random forest, neural networks, support vector machines, and boosting). We used representative data of 3,026 students in 153 schools who took part in the standardized achievement tests of the Luxembourg School Monitoring Program in grades 1 and 3. Multilevel models outperformed classical linear and polynomial regressions, as well as different machine learning models. However, it could be observed that across all schools, school VA scores from different model types correlated highly. Yet, the percentage of disagreements as compared to multilevel models was not trivial and real-life implications for individual schools may still be dramatic depending on the model type used. Implications of these results and possible ethical concerns regarding the use of machine learning methods for decision-making in education are discussed.

Survivorship and growth in staghorn coral (Acropora cervicornis) outplanting projects in the Florida Keys National Marine Sanctuary.

Significant population declines in Acropora cervicornis and A. palmata began in the 1970s and now exceed over 90%. The losses were caused by a combination of coral disease and bleaching, with possible contributions from other stressors, including pollution and predation. Reproduction in the wild by fragment regeneration and sexual recruitment is inadequate to offset population declines. Starting in 2007, the Coral Restoration Foundation™ evaluated the feasibility of outplanting A. cervicornis colonies to reefs in the Florida Keys to restore populations at sites where the species was previously abundant. Reported here are the results of 20 coral outplanting projects with each project defined as a cohort of colonies outplanted at the same time and location. Photogrammetric analysis and in situ monitoring (2007 to 2015) measured survivorship, growth, and condition of 2419 colonies. Survivorship was initially high but generally decreased after two years. Survivorship among projects based on colony counts ranged from 4% to 89% for seven cohorts monitored at least five years. Weibull survival models were used to estimate survivorship beyond the duration of the projects and ranged from approximately 0% to over 35% after five years and 0% to 10% after seven years. Growth rate averaged 10 cm/year during the first two years then plateaued in subsequent years. After four years, approximately one-third of surviving colonies were ≥ 50 cm in maximum diameter. Projects used three to sixteen different genotypes and significant differences did not occur in survivorship, condition, or growth. Restoration times for three reefs were calculated based on NOAA Recovery Plan (NRP) metrics (colony abundance and size) and the findings from projects reported here. Results support NRP conclusions that reducing stressors is required before significant population growth and recovery will occur. Until then, outplanting protects against local extinction and helps to maintain genetic diversity in the wild.

Characteristics of successful programmes targeting gender inequality and restrictive gender norms for the health and wellbeing of children, adolescents, and young adults: a systematic review.

BACKGROUND: In the context of the Sustainable Development Goals and the shifting global burden of disease, this systematic review analyses the evidence from rigorously evaluated programmes that seek to transform the gendered social norms undermining the health and wellbeing of children, adolescents, and young adults. The aim of this study was threefold: to describe the landscape of gender-transformative programmes that attempt to influence health-related outcomes; to identify mechanisms through which successful programmes work; and to highlight where gaps might exist in implementation and evaluation. METHODS: We systematically reviewed rigorous evaluations published between Jan 1, 2000, and Nov 1, 2018 of programmes that sought to decrease gender inequalities and transform restrictive gender norms to improve the health and wellbeing of 0-24 year olds. We included rigorously evaluated health programmes that met the Interagency Gender Working Group definition of gender-transformative programming, regardless of where in the world they were implemented and what area of health they focused on. FINDINGS: Among 22 993 articles identified by our search, 61 evaluations of 59 programmes met review criteria. Programmes were concentrated in sub-Saharan Africa (25 [42%]), south Asia (13 [22%]), and North America (13 [22%]) and mainly measured health indicators related to reproductive health (29 [48%]), violence (26 [43%]), or HIV (18 [30%]). Programmes most frequently focused on improving the individual power of the beneficiaries, rather than working on broader systems of inequality. 45 (74%) of the evaluations measured significant improvements in health-related and gender-related indicators; however, only ten (16%) showed evidence of, or potential for, broader norm change. These ten programmes worked with sectors beyond health, included multiple stakeholders, implemented diversified strategies, and fostered critical awareness and participation among affected community members. INTERPRETATION: This review can accelerate efforts to improve global health by leading to more strategic investment in programmes that promote gender equality and target restrictive gender norms among young people. Such programmes can lead to a lifetime of improved health and wellbeing by challenging not only attitudes and behaviours related to gender at an early age, but also the gendered systems that surround them. FUNDING: Bill & Melinda Gates Foundation.