Explanatory Variables Research Articles

Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso

Lasso is a popular and efficient approach to simultaneous estimation and variable selection in high-dimensional regression models. In this paper, a robust fused LAD-lasso method for multiple outcomes is presented that addresses the challenges of non-normal outcome distributions and outlying observations. Measured covariate data from space or time, or spectral bands or genomic positions often have natural correlation structure arising from measuring distance between the covariates. The proposed multi-outcome approach includes handling of such covariate blocks by a group fusion penalty, which encourages similarity between neighboring regression coefficient vectors by penalizing their differences, for example, in sequential data situation. Properties of the proposed approach are illustrated by extensive simulations using BIC-type criteria for model selection. The method is also applied to a real-life skewed data on retirement behavior with longitudinal heteroscedastic explanatory variables.

Multi-scale analysis of urban forests and socioeconomic patterns in a desert city, Phoenix, Arizona

Understanding the relationship between various socioeconomic factors and urban forest structure is essential for directing resources to ensure equitable distribution of green space. Through a case study of a desert city, i.e., Phoenix, AZ, this study provides a novel application of Multiscale Geographically Weighted Regression (MGWR) in which we explore the spatially variable relationships between a wide array of socioeconomic indicators and urban forest attributes. Through the computation of various scales of influence for different explanatory variables, MGWR enhances our analysis’s precision and stresses the association between socioeconomic status and urban forest structure at local and regional scales. Our results indicate that although there has been a pattern of green inequality where minority and low-income communities have less access to urban forests, education levels were mostly insignificant based on the MGWR results. In some instances, higher incomes are negatively correlated with tree canopy coverage. Additionally, the stem density model outperformed the canopy coverage model in terms of prediction accuracy. This research adds a new dimension to urban forestry literature and emphasizes the value of customized urban planning strategies and the environmental justice implications of urban forestry, particularly in arid environments.

The association between early postoperative food intake and postoperative hospital length of stay in patients undergoing cardiac surgery: A retrospective observational single-center study

Background & AimsPerioperative nutritional status is critical during the postoperative recovery process in patients undergoing cardiac surgery. Several studies on patients undergoing cardiac surgery have reported low energy intake in early postoperative food intake via oral nutrition; however, no study has shown an association of low energy intake with postoperative hospital length of stay (LOS). This study aimed to determine whether early postoperative low food intake was associated with prolonged postoperative hospital LOS in patients undergoing cardiac surgery. MethodsThis was a retrospective, observational, single-center study conducted in patients aged ≥18 years undergoing elective cardiac surgery from January 1, 2020, to May 31, 2023. Patients were categorized by food intake as food intake < 50% (low food intake group) and ≥ 50% (adequate food intake group) at lunch on postoperative day (POD) 3. The primary outcome of this study was the postoperative hospital LOS. A generalized linear model was used to examine the association between food intake and postoperative hospital LOS using the following explanatory variables: age, European System for Cardiac Operative Risk Evaluation (EuroSCORE) II value, preoperative risk of malnutrition, activities of daily living status, Sequential Organ Failure Assessment score, and C-reactive protein level. ResultsOf the 315 patients, 104 (33.0%) had a food intake of <50% on POD3. There were no significant differences in age, sex, EuroSCORE II value, and comorbidities between the two groups. Patients in the low-food intake group had a significantly lower Barthel Index (6.7% vs. 1.4%, p = 0.017) and a higher malnutrition risk according to the Mini Nutritional Assessment Short Form score (40.4% vs. 28.2%, p = 0.043). Food intake of <50% on POD3 was associated with prolonged postoperative hospital LOS (β = 1.135 [95% confidence interval: 1.004–1.262], p = 0.018). ConclusionsLow food intake on POD3 is associated with prolonged postoperative hospital LOS in patients undergoing elective cardiac surgery. Early postoperative food intake should be closely monitored in patients after elective cardiac surgery.

K-depth tests for testing simultaneously independence and other model assumptions in time series

We consider the recently developed K-depth tests for testing simultaneously independence and other model assumptions for univariate time series with a potentially related d-dimensional process of explanatory variables. Since these tests are based only on signs of residuals, they are easy to comprehend. They can be used in a full version and in a simplified version. While former investigations already showed that the full version is appropriate for testing model assumptions, we concentrate here on either testing the independence assumption on its own or on simultaneously testing independence and model assumptions with both types of tests. In an extensive simulation study, we compare these tests with several known independence test such as the runs test, the Durbin-Watson test, and the Von-Neumann-Rank-Ratio test. Finally, we demonstrate how the K-depth tests can be used for improved modeling of crack width time series depending on temperature measurements in a bridge monitoring.

Bayesian ridge estimators based on a vine copula-based prior in Poisson and negative binomial regression models

Poisson and negative binomial regressions are popular methods for modelling the relationship between a count variable and explanatory variables. In the presence of multicollinearity, ridge regression is an alternative to the maximum likelihood estimation for regression coefficients. Furthermore, ridge estimators are interpreted as the Bayesian posterior mean (or mode) when the regression coefficients follow a multivariate normal prior. However, using the multivariate normal prior may not effectively estimate regression coefficients, especially in the presence of interaction terms. This study proposes vine copula-based priors for Bayesian ridge estimators in Poisson and negative binomial regression models. The simulations and data analysis results indicate that for the Poisson model with equidispersion and the negative binomial model with overdispersion, the Clayton and Gumbel copula priors of the Archimedean family achieve superior performance than the multivariate normal prior and Gaussian copula prior.

Does Early Childhood Education Matter on Reading Achievement Among Arab Countries

Our research focuses on the impact of Early Childhood Education (ECE) in the reading achievement of pupils in primary schools in MENA countries. The study employed the international data from PIRLS 2016 to identify the effect of early literacy practices on later reading attainment. Leveraging data from the 2016 Progress in International Reading Literacy Study (PIRLS) by the International Association for the Evaluation of Educational Achievement, we utilize ordinary least squares (OLS) regression and quantile regression to estimate education production functions for each country individually. This approach enables us to assess how coefficients on explanatory variables vary across the spectrum of test scores. The results show that in MENA countries, early childhood education, which develops pupils’ skills acquisition before formal schooling, improves their reading performance. In sum, The Early childhood education effect can be reinforced through government policy and family background. In addition, we recommend a universal access to early childhood education., concentration of early childhood services in the private sector makes the programs confined only to wealthy people who can afford them, especially people living in urban cities and improve the quality of early education by implementing appropriate curricula and modern teaching.

Influence of foveal glial tissue after macular hole surgery on outer retinal restoration and visual acuity

Purpose: To investigate the impact of foveal glial tissue on the anatomical and functional results after macular hole (MH) surgery. Methods: This study included 141 consecutive eyes that underwent successful vitrectomy for full-thickness MH between January 2015 and December 2022. The best-corrected visual acuity (BCVA) and the length of outer retinal defects were evaluated preoperatively and at 6 months postoperatively. MH with retinal detachment, recurrent MH, and traumatic MH were excluded. Multiple regression analyses were conducted on outer retinal restoration and visual acuity using foveal glial tissue size, surgical technique of internal limiting membrane (ILM) peeling or inverted ILM flap, and high myopia as explanatory variables. Results: Analyses revealed that the foveal glial tissue significantly limited the outer nuclear layer (ONL), external limiting membrane (ELM) restoration, and ellipsoid zone (EZ) restoration as well as BCVA improvement (r = −0.380, p &lt; 0.001; r = −0.314, p = 0.035; r = −0.530, p = 0.015; r = −0.00027, p = 0.001; respectively). Meanwhile, the surgical technique and high myopia did not significantly affect the restoration of ONL, ELM, EZ, and BCVA after surgery. Conclusion: Foveal glial tissue after MH surgery attenuated ONL, ELM, and EZ restoration as well as BCVA improvement.

STRUCTURAL AND STOCHASTIC BEHAVIOR OF MEXICAN AGRICULTURAL EXPORTS

Mexican agricultural exports have grown faster than the country’s economy, suggesting a foreign exchange inflow and the use of production factors in Mexico. This work examines both the structural behavior of the agricultural exports and its stochastic behavior using data from 1993 to 2023. The structural part is modeled with three explanatory behaviors: first, the influence in exports of the U.S. economy through its Gross Domestic Product (GDP); second, the effect of the Mexican economy through its own GDP; and third, the search for a more profitable price abroad was modeled with the real exchange rate. On the other hand, the stochastic behavior was modeled with lags of the actual exports and other explanatory variables. After adjusting an autoregressive distributed lag model and verifying the existence of a long-term relationship between Mexican agricultural exports, U.S. GDP, Mexican GDP, and the real exchange rate, it was found that the behavior of the export growth is largely explained by the U.S. economy.

Household Well-Being, Environment and Health in the Peripheries of the Metropolitan Area of Oaxaca City

Objective: The economy of poor urban households is analyzed using a well-being function that also considers incomes, sociodemographic characteristics (CS), housing and the environment. Theoretical structure: The dependent variable is household well-being (BF) and the explanatory variables are all incomes obtained from the market economy, as well as government transfers (TG). The CS represent resources that facilitate obtaining income; housing provides income indicators; and the environment are the physical conditions that determine the state of health. Methodology: A probabilistic survey was applied to a sample of households in four poor peripheral neighborhoods. The equations were constructed using ordinary least squares regression and the beta coefficients measure the contribution of the variables from the four categories above to the BF. The effects of these variables on health expenditure (GS) are also measured. Discoveries: The main incomes that contribute to the BF were determined and these make a contribution equivalent to that of the set of variables of the CS, housing and family businesses. Likewise, the environment and diseases increase GS. Practical and social implications: Research shows that poor peripheral urban households participate in the market economy and that an increase in average age contracts their level of BF. Originality/value: The tested model turned out to be versatile and accurate in analyzing the economies of poor urban households and has greater explanatory power than the agricultural household models and the applied general equilibrium model.

Factors associated with essential newborn care practices among non-institutional births in urban Bangladesh: evidence from Bangladesh Urban Health Survey 2021

ABSTRACT Background Non-institutional births remain prevalent in low- and middle-income countries, associated with a majority of adverse maternal and child health outcomes, including maternal and child mortality. Ensuring essential newborn care (ENC) practices for these non-institutional births is crucial for reducing these adverse outcomes. This study aimed to identify the prevalence, and factors associated with the adoption of ENC practices among non-institutional births in urban Bangladesh. Methods A total of 2,165 children’s data were analyzed, extracted from the 35,186 ever-married women interviewed in the 2021 Bangladesh Urban Health Survey. Six ENC components and their level (lowest/none, moderate, and highest) were considered as the outcome variables. Several socio-demographic factors were considered as the explanatory variables. Multivariate binary and multinomial logistic regression model were used to explore the association between outcome and explanatory variables. Results Approximately 49% of all mothers reported practicing the highest level of ENC. Among the individual components, the highest adherence was observed for the use of a disinfected instrument to cut the umbilical cord (90%). The likelihood of adopting the highest level of ENC practices was higher among mothers with relatively higher education and wealth quintiles and lower among those residing in slum and other urban areas of city corporations compared to non-slum areas. Mothers living in the Khulna and Sylhet divisions had a lower likelihood of adopting the highest level of ENC practices. Conclusion Awareness building programs are needed to educate the population, particularly mothers, about the importance of practicing ENC for improving maternal and child health outcomes.

Factors Associated With Health-Related Quality of Life Among Community-Dwelling Older Adults Without Social Participation in Japan: A Cross-Sectional Study

This study aimed to identify the characteristics of community-dwelling older adults who exhibited high health-related quality of life (HRQOL) without social participation. This cross-sectional observational study collected data using a mailed questionnaire. This study included 1,183 community-dwelling older adults aged ≥65 years who lived in Japan. HRQOL was assessed via the EuroQol 5-Dimensions 5-Levels (EQ-5D-5L). Multivariate analysis was performed; full health status (EQ-5D-5L = 1) was used as the objective variable, and socio-demographic, lifestyle, and health-related variables were used as the explanatory variables. Driving (OR = 3.846), economic situation (1.938), purpose in life (2.211), primary illness (0.398), low physical function (0.051), and depressive symptoms (0.288) were associated with higher HRQOL among community-dwelling older adults without social participation. This exploratory study suggests the possibility of promoting and improving the HRQOL of community-dwelling older adults without social participation by strengthening specific factors among them.

Wealth-related inequality in vitamin A rich food consumption among children of age 6-23 months in Ethiopia; Wagstaff decomposition of the 2019 mini-DHS data.

Vitamin A (VA) cannot be made in the human body and thus foods rich in VA are the only sources of vitamin A for the body. However, ensuring availability in adequate amount of foods rich in VA remains a challenge, mainly in low-income counties including Ethiopia. In addition, children from the poorest and less educated families of same country have disproportionately limited consumptions of foods rich in VA. Therefore, the present study aimed assessing the wealth related inequality in vitamin A consumption (VAC) and decompose it to the various contributing factors. This study was conducted using the 2019 Ethiopian demographic and health survey data on a weighted sample of 1,497 children of age 6-23 months in Ethiopia. The wealth related inequality in VAC was quantified using concentration index and plotted using concentration curve. The Wagstaff decomposition analysis was performed to assess the relative contributions of each explanatory variable to the inequalities in the overall concentration index of VAC. The overall Wagstaff normalized concentration index (C) analyses of the wealth-related inequality in consumption of foods rich in VA among children aged 6-23 months was [C = 0.25; 95% C: 0.15, 0.35]. Further decomposition of the C by the explanatory variables reported the following contributions; primary level of women's education (7.2%), secondary and above (17.8%), having ANC visit during pregnancy (62.1%), delivery at a health institution (26.53%), living in the metropolis (13.7%), central region (34.2%), child age 18-23 months (4.7%) contributed to the observed wealth related inequality in the consumption of foods rich in vitamin A in Ethiopia. We found pro-rich wealth-related inequality in VAC among children of age 6-23 months in Ethiopia. Additionally, maternal education, region, ANC visit, and place of delivery were the significant contributors of wealth-related inequality of VAC. Nutritional related interventions should prioritise children from poorer households and less educated mothers. Moreover, enhancing access to ANC and health facilities delivery services through education, advocacy, and campaign programs is highly recommended in the study setting.

Factors and effects of inter-individual variability in silver birch phenology using dense LiDAR time-series

Comprehending and quantifying local variability in plant phenology, alongside its impacts on tree growth, is challenging due to spatially and temporally heterogeneous environmental factors that interact to affect phenological events and periods. Although previous studies have focused on the climatic factors driving phenological events at the stand level, the influences of competition, neighborhood characteristics, species richness, and water availability on plant phenology remain unclear. In the present paper, we used hourly terrestrial LiDAR surveys performed between April 2020 and April 2021 to investigate the influence of local factors (neighborhood and topography) on the phenology of silver birch trees (Betula pendula Roth.). We also examined how phenological events affect growth in tree height and crown area. All response and explanatory variables were estimated using LiDAR time-series data and a field survey campaign. Our findings demonstrate a high within-species variability in plant phenology that is controlled by biotic and abiotic characteristics of the ecosystem. We found that between tree variation in leaf burst, completion of the leaf growth and length of canopy growth period were affected by tree size, neighborhood species richness, level of suppression and competition, which potentially indicate plant responses to light availability. The beginning of senescence, completion of leaf drop, and length of autumn phenology were mostly affected by topographic water index, which reflects water availability and can be linked to nutrient availability and exposure to wind. Furthermore, we demonstrated that an earlier leaf burst, and delayed beginning of senescence were associated with larger absolute growth in canopy area but found no clear relationship between height growth and phenology. Our study highlights the capability of dense, high-quality LiDAR time-series to detect significant phenological variation among individuals of the same species within the same locality, demonstrating the potential of LiDAR time-series as a tool for understanding phenology and its impacts.

Consideration of factors of low accrual and methods for setting appropriate accrual periods: Japan Clinical Oncology Group study

BackgroundPoor patient accrual can delay reporting of clinical trials and, consequently, the development of new treatments. For reducing the risk of additional resource requirements, a method for setting planned accrual periods with minimal deviation from the actual accrual periods is desirable. Risk factors for poor patient accrual and the appropriate method of estimating the required accrual period for timely completion of clinical trials were evaluated using the data of trials conducted by the Japan Clinical Oncology Group.MethodsThe study included 199 trials that started patient accrual between January 1, 1990, and June 30, 2021. The explanatory variables included factors that could be evaluated prior to trial commencement. We also evaluated whether the estimation methods for accrual pace could lead to completion within the planned accrual period.ResultsApproximately 23.6% of trials were completed within the planned accrual period. The risk factors for trial extension included planned accrual periods > 3 years (reference group: ≤ 3 years, odds ratio [OR] 0.37, 95% confidence interval [CI]: 0.15–0.92, P = 0.033) and stratified trial design (reference group: nonrandomized phase II trials, nonrandomized phase III trial [OR: 3.28, 95% CI: 0.99–10.9, P = 0.051], randomized phase II trial [OR: 3.91, 95% CI: 0.75–20.30, P = 0.105], and randomized phase III trial [OR: 9.29, 95% CI: 3.39–25.40, P < 0.001]). The method of estimating the accrual pace based on past clinical trials facilitated timely completion of the trial (OR: 3.51; 95% CI: 1.73–7.10, P < 0.001), unlike the estimation method based on survey evaluation of the accrual pace for participating institutions (OR: 1.12, 95% CI: 0.56–2.26, P = 0.751). Furthermore, the discrepancy between planned and actual accrual periods was minimal when using the methods of considering the accrual pace of past clinical trials.ConclusionsConsidering the accrual pace of past clinical trials is useful for estimating the required accrual period if data from past trials are available. When conducting a survey, it is necessary to be cautious of overestimating the cases at each facility.

Firm Specific Fundamental Variables and Common Stock Returns

The main objective of the study is to examine the impact of firm specific fundamental variables on cross-section of expected stock returns from the Nepali capital market. The data were collected form the sample of 48 firms actively traded in the Nepal stock exchange (NEPSE) for 12 years from mid-July 2011 to mid-July 2022 with 576 observations. The explained variable is common stock returns and the explanatory variables are firm specific fundamental variables such as market capitalization as proxied by firm size, book to market equity, earning yield and cash flow yield. The study examined that firm size, book to market equity, and earning yield (for only CGY and TY) have the significant negative impact on common stock returns in Nepali capital market. In contrast earning yield has the significant positive impact on dividend yield only. The cash flow yield has no significant impact on common stock returns in Nepali capital market.

Expanding Short-Term Pedestrian Volume Counts to Average Annual Daily Counts at Intersections: Temporal Pattern Indices and a Comparison of Statistical Land Use and Simple Threshold Methods

Quantifying pedestrian exposure for intersections is important for developing pedestrian-centric strategies. Exposure is typically expressed as the annual-average daily pedestrian traffic (AADPT). AADPT can be directly calculated when continuous counts (CCs) are available. However, CCs are rarely available for all intersections, requiring estimation methods. This work explores the steps involved in expanding pedestrian short-term counts (STCs) to AADPT using factor groups. Day-of-week-of-month expansion factors were used to expand 8-h STCs. The first step consists of grouping sites with similar pedestrian activity patterns (factor groups). Five factor groups were identified, and three pedestrian temporal pattern indicators were proposed to characterize them. The thresholds of these indicators for grouping sites with CCs are available in this work. The second step involves the challenge of associating sites where only STCs are available (unknown traffic patterns) with a particular factor group. Multinomial logistic regression (MLR) was developed to link factor groups to land use, socioeconomic, and operational attributes. Explanatory variables that represent commercial and industrial areas and the number of schools and transit stops were found to be significant. Simpler methods were also introduced to identify factor groups strongly affected by schools. The last step assesses the expansion of STCs to AADPT using the proposed approaches. The results showed improved performance when compared with averaging expansion factors across all sites. It was also demonstrated that, in certain cases, simple approaches that rely exclusively on the identification of sites that are highly affected by schools present similar performance to more complex approaches, such as MLR.

The influence of temperature and β-1,3-glucans on the occurrence of white spot syndrome virus and white spot disease in post-larvae of Penaeus vannamei shrimp

Penaeus vannamei is the main species of shrimp farmed worldwide, and for Ecuador it is the first non-oil economic sector. However, various pathogens, including white spot syndrome virus (WSSV), threaten the sustainability of shrimp farming. P. vannamei larvae are susceptible to WSSV infection via vertical or horizontal transmission. To decrease the incidence of WSSV in PLs, a bioassay was performed by exposing P. vannamei shrimp (PL25), which were negative for WSSV and white spot disease (WSD), to two protective factors, water temperature (T = 24 °C and T = 31 °C), and immunestimulation using β-1,3-glucans (BG) (with and without BG added to the food), using a crossed two-factor design, for 20 days. The incidence of WSSV and WSD was modeled using generalized linear model (GLM). The strength of the association between the response and explanatory variables was estimated using the odds ratio [Exp (Beta)] and interpreted as the level of risk for the incidence of WSSV or WSD in one of the categories compared to the baseline category in the GLM. Odds ratios were considered significant if their 95 % confidence interval did not include the value 1. The results showed that BG had a significant negative effect on the number of WSSV-positive animals. In addition, a lower probability of WSSV infection was determined by combining 31 °C and BG. In this treatment, the WSD injuries were almost undetectable. Most larvae shrimps affected by WSD exhibited injuries to the antennal gland and connective tissue. In situ hybridization analysis revealed that 29 % of shrimp, initially negative by histology, were positive for WSSV. The virus was detected mainly in the nervous tissue of the head, epithelium, connective tissue of the head appendages, and the oral region surrounding the integumental glands. Apoptosis analysis showed a weak signal in nerve tissue but was more intense in epithelial cells of the head appendages, in association with cuticular damage. According to the findings, WSSV could disseminate among shrimp populations by infecting them through the TG and epithelium of the head appendage, followed by connective tissue and nervous tissue. However, applying BG at 31 °C may serve as a protective measure to reduce WSD injuries and restrict WSSV dissemination.

Bivariate Log-Symmetric Regression Models Applied to Newborn Data

This paper introduces bivariate log-symmetric models for analyzing the relationship between two variables, assuming a family of log-symmetric distributions. These models offer greater flexibility than the bivariate lognormal distribution, allowing for better representation of diverse distribution shapes and behaviors in the data. The log-symmetric distribution family is widely used in various scientific fields and includes distributions such as log-normal, log-Student-t, and log-Laplace, among others, providing several options for modeling different data types. However, there are few approaches to jointly model continuous positive and explanatory variables in regression analysis. Therefore, we propose a class of generalized linear model (GLM) regression models based on bivariate log-symmetric distributions, aiming to fill this gap. Furthermore, in the proposed model, covariates are used to describe its dispersion and correlation parameters. This study uses a dataset of anthropometric measurements of newborns to correlate them with various biological factors, proposing bivariate regression models to account for the relationships observed in the data. Such models are crucial for preventing and controlling public health issues.

Are open science practices in dentistry associated with higher Altmetric scores and citation rates?

AimOpen science, a set of principles and practices, aims to make scientific research more accessible and accountable, benefiting scientists and society. This study evaluated whether adopting open science practices (OSPs) correlates with higher citation rates and Altmetric scores. MethodsA random sample of randomised clinical trials (RCTs) on dental caries published between 2000 and 2022 was selected. A systematic PubMed search identified relevant RCTs, and data on OSPs - study registration, open methodology, open software, open scripts, open analysis plan, open data, open peer review, and open access (OA) - were manually collected by two independent assessors. The Robot Reviewer tool automatically evaluated the risk of bias (RoB). Outcomes included the total number of citations and the Altmetric Attention Score. Associations between OSPs, RoB, and other explanatory variables with the outcomes were assessed using binomial negative regression analysis, and expressed as Incidence Rate Ratio (IRR; α =0.05). ResultsIn total, 323 papers were analysed. At least one OSP was adopted in 57.5 % (n = 186) of the articles, dropping to 39.6 % (n = 128) without OA. Papers with protocol registration (IRR: 1.45; 95 % CI: 1.15, 1.82) and OA publication (IRR: 1.24; 95 % CI: 1.01, 1.53) had higher citation rates. Conversely, papers in full OA journals had fewer citations (IRR: 0.67; 95 % CI: 0.52, 0.87). After adjusting for RoB, low-risk studies showed higher citation rates (IRR: 1.48; 95 % CI: 1.14, 1.91), while OA lost significance. For Altmetric scores, registered and OA manuscripts showed higher scores (IRR: 3.74; 95 % CI: 2.00, 7.01; IRR: 1.69; 95 % CI: 1.04, 2.75), with registration remaining significant after adjusting for RoB and impact factor (IRR: 3.71; 95 % CI: 1.97–6.99). ConclusionThe adoption of OSPs demonstrated a partial correlation with citation rates and Altmetric scores in RCTs on dental caries; however, these effects are complex and seem more related to the journal's impact factor. Clinical significanceThe citations and the attention to clinical trials in dentistry, which could drive clinical decision-making and the elaboration of policies and recommendations, seem to be driven more by the journal's prestige than by the adoption of OSPs.

Potential pathways to the onset and development of eating disorders in people with overweight and obesity: A scoping review.

To describe pathways to eating disorder (ED) development that have been evaluated in people with overweight and obesity. Four databases were searched to identify studies testing ED development models in adolescents (10-19 years) or adults (>19 years) with overweight and obesity. Explanatory variables were thematically grouped into constructs to describe pathways to each ED outcome. Of 2226 studies screened, 46 (10 adolescent; 36 adult) were included. Study samples were predominantly female, ranging from 22 to 2236 participants and mean age 12.3 to 56.0 years. In total, 207 explanatory variables were grouped into 18 constructs to summarize 107 pathways that were identified. The most common ED outcome was binge eating (n= 24 studies), followed by global ED psychopathology (n= 10 studies). Across pathways to ED development, negative affect was the most proposed construct, followed by preoccupation with weight/shape and weight stigma. Pathways to ED development in people with overweight and obesity are complex and may include more than 18 different explanatory factors of which negative affect, preoccupation with weight/shape, and weight stigma are the most common. More research on adolescents, males, and the spectrum of ED in diverse populations is required for early identification and intervention.