WITHDRAWN: Quantifying Lifestyle and Behavioral Predictors of Obesity Risk: A Multinomial Logistic Research Approach

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This preprint has been withdrawn because it was published without the consent of all listed authors.

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This paper was a withdrawn Research Square preprint titled “Quantifying Lifestyle and Behavioral Predictors of Obesity Risk: A Multinomial Logistic Research Approach” by Xilin Wei, intended to apply multinomial logistic methods to evaluate lifestyle and behavioral predictors of obesity risk. However, the only content available in the provided text is the withdrawal notice, which states the preprint was made public without full consent of all listed authors on the first version, and no study population, data, methods, results, or explicit limitations are described. The authors also declared no competing interests, but no additional scientific findings are available here. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract 10 September, 2025. Research Square has withdrawn this preprint as it was submitted and made public without the full consent of all the listed authors on the first version.
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WITHDRAWN: Quantifying Lifestyle and Behavioral Predictors of Obesity Risk: A Multinomial Logistic Research Approach | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article WITHDRAWN: Quantifying Lifestyle and Behavioral Predictors of Obesity Risk: A Multinomial Logistic Research Approach Xilin Wei This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7442899/v3 This work is licensed under a CC BY 4.0 License Status: Posted Version 3 posted You are reading this latest preprint version Show more versions Editorial Note 10 September, 2025. Research Square has withdrawn this preprint as it was submitted and made public without the full consent of all the listed authors on the first version. Editorial notes are used to provide important context regarding the topic of a preprint or to alert readers to potential issues concerning that preprint or a downstream publication associated with it. For more information on editorial notes, see our Editorial Policies . Abstract 10 September, 2025. Research Square has withdrawn this preprint as it was submitted and made public without the full consent of all the listed authors on the first version. Biostatistics Full Text 10 September, 2025. Research Square has withdrawn this preprint as it was submitted and made public without the full consent of all the listed authors on the first version. Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 3 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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