From resources to resilience: Understanding the impact of standard of living and energy consumption on natural resource rent in Asia by Muhammad Imran, Muhammad Tufail, Chen Mo, Salman Wahab, Muhammad Kamran Khan, Wong Chee Hoo, Zhu Ling

“…Our analysis incorporates key variables such as standard of living, income inequality, renewable and nonrenewable energy consumption, CO₂ emissions, gross fixed capital formation, and foreign direct investment, all of which play crucial roles in shaping natural resource rents across Asian economies. Using Moment Quantile Regression (MMQR), we uncover nuanced insights into how these factors interact across different economic contexts. …”
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Osteoporosis Awareness, Self-Efficacy and Health Beliefs Among Staff in an Obstetrics and Gynecology Hospital: A Cross-Sectional Study by Zhou Y, Xu Z, Zhang Z, Su J

“…Yun Zhou,1,&ast; Zheyun Xu,2,&ast; Zhifen Zhang,3 Jun Su4,5 1Outpatient Department, Hangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, People’s Republic of China; 2The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, People’s Republic of China; 3Department of Obstetrics and Gynecology, Hangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, People’s Republic of China; 4School of Public Health, Hangzhou Normal University, Hangzhou, 311121, People’s Republic of China; 5Intensive Care Medicine Department, Hangzhou Women`s Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, 310008, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jun Su, Email junjunsu@163.comBackground: We investigated the key factors that influence the awareness, health beliefs, and self-efficacy of osteoporosis among the staff of an obstetrics and gynecology hospital to identify the key target population for carrying out education and promotion in medical institutions, hoping to improve women’s awareness and prevention and treatment consciousness of osteoporosis from the source.Methods: A cross-sectional study was conducted from October 15 to October 24 in 2023, and 200 staff members were randomly sampled from an obstetrics and gynecology hospital in Hangzhou city for a questionnaire survey. We used a quantile regression model to analyze the key factors influencing the scores of each item.Results: The study results showed that undergraduate degree or above, working as a doctor, work experience of < 5 years or 10– 20 years and high professional technical title are related to a higher level of osteoporosis knowledge. …”
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Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control by Tianyu Shi, Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

“…In particular, we use implicit quantile networks (IQN) to model the state-action return distribution with quantile regression. For traffic signal control problems, an ensemble of standard RL and DisRL yields superior performance across different scenarios, including different levels of missing sensor data and traffic flow patterns. …”
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Topographic correlation of microperimetry with foveal microstructure characteristics in idiopathic epiretinal membrane patients with an ectopic inner foveal layer by Qianqian Wang, Congyao Wang, Yihua Su, Fenfen Yu, Tingting Chen, Xia Dong, Pengxia Wan

“…LASSO regression and quantile regression analyses were performed to identify the spatial distribution correlation between foveal light sensitivity and foveal microstructure parameters. …”
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Evaluation of the impact of PEPFAR transition on retention in care in South Africa’s Western Cape Province by J Chiliza, R Laing, F G Feeley, A T Brennan

“…We used adjusted quantile regression to estimate the effect of the PEPFAR pull-out on RIC. …”
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Time to surgical stabilization of rib fractures: does it impact outcomes? by Joseph D Forrester, Yang Cao, Shahin Mohseni, Babak Sarani, Frank Hildebrand, Ahmad Mohammad Ismail, Maximilian Peter Forssten, Marcelo A F Ribeiro

“…Poisson regression, and adjusting for demographic and clinical covariates, was used to evaluate the association between time to SSRF and the primary endpoint, in-hospital complications. Quantile regression was used to evaluate the effects of time to SSRF on the secondary endpoints, hospital and intensive care unit (ICU) length of stay (LOS).Results Out of 2185 patients, 918 (42%) underwent SSRF &lt;2 days, 432 (20%) underwent SSRF &gt;2 days but &lt;3 days, and 835 (38%) underwent SSRF &gt;3 days. …”
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Association of ultra-processed food-related metabolites with selected biochemical markers in the UK Biobank by Anthony Kityo, Byeonggeun Choi, Jung-Eun Lee, Chulho Kim, Sang-Ah Lee

“…Associations between UPF and UNPF-related metabolites, and serum C-reactive protein (CRP), insulin-like growth factor-1(IGF-1), sex hormone-binding globulin (SHBG), and testosterone were examined using multiple quantile regression. Results Elastic net model identified 17 and 15 metabolites uniquely related to UPF and UNPF intake, respectively. …”
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Socio-demographic and clinical determinants of self-care in adults with type 2 diabetes: a multicenter cross-sectional study in Zhejiang province, China by Xuefen Lan, Xiaozhen Ji, Xiaojia Zheng, Xiaoyu Ding, Hongyi Mou, Shunfei Lu, Bin Ye

“…Self-care self-efficacy is a critical factor affecting the self-care process, which was measured by the SCODI. Multiple quantile regression models were employed to identify the determinants of each self-care component and self-care self-efficacy. …”
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Pediatric reference values for total psoas muscle area in Korean children and adolescents by Jisoo Kim, Mi-Jung Lee, Hyun Ji Lim, Yonghan Kwon, Kyunghwa Han, Haesung Yoon

“…Graphs for weight and height were drawn and compared using data from the Korean national growth chart. tPMA distributions according to sex and age were obtained using quantile regression with smoothed polynomials. We analyzed correlations of tPMA with weight and height.ResultsA total of 740 pediatric patients were included [M:F = 340:400, 12 years (interquartile range 9–16)]. …”
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Timing of surgery in acute burn care: A multicentre registry-based cohort study by Roos F.C. Salemans, Denise van Uden, Ymke Lucas, Anouk Pijpe, Eelke Bosma, Esther Middelkoop, Michiel H.J. Verhofstad, Margriet E. van Baar, Cornelis H. van der Vlies

“…Multivariable logistic regression identified predictors of early surgery, while trends in timing were assessed with quantile regression. The median time to surgery was 14 days (Q1–Q3: 9.0–19.0), with 670 of 3291 patients receiving early surgery (20 %). …”
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Changes in the critical nutrient content of packaged foods and beverages after the full implementation of the Chilean Food Labelling and Advertising Law: a repeated cross-sectional... by Natalia Rebolledo, Pedro Ferrer-Rosende, Marcela Reyes, Lindsey Smith Taillie, Camila Corvalán

“…To assess the changes in proportions, we used Firth’s bias-reduced logistic regression models and the Cochran-Armitage test for trends. Quantile regression was used to evaluate changes in nutrient content. …”
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Adipocyte heterogeneity and tumor infiltration of adipose tissue in patients with metastatic breast cancer by Hava Izci, Gitte Zels, Anirudh Pabba, Marion Maetens, François Richard, Maxim De Schepper, Josephine Van Cauwenberge, Ha-Linh Nguyen, Kristien Borremans, Sophia Leduc, Karen Van Baelen, Sigrid Hatse, Tatjana Geukens, Amena Mahdami, Hans Wildiers, Patrick Neven, Wouter Van Den Bogaert, Giuseppe Floris, Christine Desmedt

“…Distant adipocyte size was quantified using digital pathology, and tumor infiltration was assessed histologically. Linear mixed quantile regression analyzed the associations between adipocyte size, fat depot type and major histological subtypes. …”
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N‐terminal pro brain natriuretic peptide reference values in community‐dwelling older adults by Ulrike Braisch, Wolfgang Koenig, Dietrich Rothenbacher, Michael Denkinger, Nele Friedrich, Stephan B. Felix, Till Ittermann, Marcus Dörr, Dhayana Dallmeier

“…Methods and results We analysed established NT‐proBNP predictors using quantile regression among 2459 participants of two‐independent population‐based cohorts located in Germany, the Activity and Function in the Elderly Study (ActiFE, n = 1450) and the Study of Health in Pomerania (SHIP‐TREND‐0, n = 1009). …”
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Relationship between changes in the triglyceride glucose-body mass index and frail development trajectory and incidence in middle-aged and elderly individuals: a national cohort st... by Kai Guo, Qi Wang, Lin Zhang, Rui Qiao, Yujia Huo, Lipeng Jing, Xiaowan Wang, Zixuan Song, Siyu Li, Jinming Zhang, Yanfang Yang, Jinli Mahe, Zhengran Liu

“…Nonlinear relationships were explored using restricted cubic splines, and a linear mixed-effects model was used to evaluate FI development speed. Weighted quantile regression was used to identify the primary contributing factors. …”
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Risk factors affecting polygenic score performance across diverse cohorts by Daniel Hui, Scott Dudek, Krzysztof Kiryluk, Theresa L Walunas, Iftikhar J Kullo, Wei-Qi Wei, Hemant Tiwari, Josh F Peterson, Wendy K Chung, Brittney H Davis, Atlas Khan, Leah C Kottyan, Nita A Limdi, Qiping Feng, Megan J Puckelwartz, Chunhua Weng, Johanna L Smith, Elizabeth W Karlson, Regeneron Genetics Center, Penn Medicine BioBank, Gail P Jarvik, Marylyn D Ritchie

“…We observed overlap between covariates that had significant R2 differences among strata and interaction effects – across all covariates, their main effects on BMI were correlated with their maximum R2 differences and interaction effects (0.56 and 0.58, respectively), suggesting high-PGSBMI individuals have highest R2 and increase in PGS effect. Using quantile regression, we show the effect of PGSBMI increases as BMI itself increases, and that these differences in effects are directly related to differences in R2 when stratifying by different covariates. …”
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Rural-Urban Differences in Health Care Expenditures: Empirical Data from US Households by Wei-Chen Lee, Luohua Jiang, Charles D. Phillips, Robert L. Ohsfeldt

“…The results of quantile regressions suggest that the highest users (at the upper quantiles) of medication and total expenditure experienced the strongest positive effects of living in rural areas. …”
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The Effects of Monetary Policies on the Capital Structures of the Firms by Octávio Valente Campos, Wagner Moura Lamounier

“…The data collected refer to the years from 2009 to 2019, and the methodology used for data analysis is through quantile regressions and panel data models, using the GMM approach. …”
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Pre-injury frailty and clinical care trajectory of older adults with trauma injuries: A retrospective cohort analysis of A large level I US trauma center. by Oluwaseun Adeyemi, Corita Grudzen, Charles DiMaggio, Ian Wittman, Ana Velez-Rosborough, Mauricio Arcila-Mesa, Allison Cuthel, Helen Poracky, Polina Meyman, Joshua Chodosh

“…We performed multivariable logistic and quantile regressions to measure the influence of frailty on post-trauma care trajectories.…”
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