An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data by Eliud Kibuchi, Gabriele B Durrant, Olga Maslovskaya, Patrick Sturgis

“…This paper explores whether the use of a Bayesian framework can improve the predictions of response propensity models in longitudinal data. In the Bayesian approach existing knowledge regarding model parameters is used to specify prior distributions. …”
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Progression of Heart Failure in People with Type 2 Diabetes in Germany: An Analysis Using German Health Insurance Claims Data by Keni Cheng-Siang Lee, Tobias Wagner, Adee Kennedy, Michael Wilke

“…**Methods:** This descriptive, retrospective study used longitudinal data from German statutory health insurance claims. …”
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Relationship between movement behaviours and life satisfaction in Chinese children: A cross-lagged panel analysis. by Xingyi Yang, Danqing Zhang, Yang Liu

“…This study examined the relationship between movement behaviours and life satisfaction (LS) using longitudinal data from a sample of primary school students. …”
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Creating National Weights for a Patient-level Longitudinal Database by Onur Baser, Li Wang, Jon Maguire

“…**Objective:** To create a nationally-representative estimate from longitudinal data by controlling for sociodemographic factors and health status. …”
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Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…To achieve this objective, longitudinal data from the 2014/15 and 2020/21 surveys, sourced from the Tanzania National Bureau of Statistics (NBS) were analyzed. …”
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MRI-based hip cartilage measures in osteoarthritic and non-osteoarthritic individuals: a systematic review by Jacob L Jaremko, Hector N Aguilar, Michele C Battié

“…Overall, the studies consistently demonstrate the reliability and potential clinical utility of MRI-based estimates. However, no longitudinal data or reference values for hip cartilage thickness or volume have been published, limiting the ability of MRI to define or risk-stratify hip osteoarthritis. …”
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Longitudinal Invariance Testing Of The Knee Injury Osteoarthritis Outcome Score For Joint Replacement Scale (KOOS-JR) by Alexandra Dluzniewski, Caleb Allred, Madeline P Casanova, Jonathan D Moore, Adam C Cady, Russell T Baker

“…. # Methods Longitudinal data extracted from the Surgical Outcome System (SOS) database of 13,470 knee pathology patients who completed the KOOS-JR at baseline, three-months, six- months, and one-year. …”
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Information quality and students’ academic performance: the mediating roles of perceived usefulness, entertainment and social media usage by Abdallah M. M. Badr, Badr Saleh Al-Abdi, Maged Rfeqallah, Rozilah Kasim, Faisal A. M. Ali

“…Therefore, the results of the investigation cannot be generalized as a whole, and cannot track respondents’ social media activity over time. Thus, longitudinal data may be used in future investigations. …”
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Functional connectivity-based compensation in the brains of non-demented older adults and the influence of lifestyle: A longitudinal 7-year study by Pascal Frédéric Deschwanden, Isabel Hotz, Susan Mérillat, Lutz Jäncke

“…Can lifestyle predict the strength of this functional compensation? Methods: Using longitudinal data from 228 cognitively healthy older adults, we analyzed five measurement points over 7 years. …”
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Continuing exposure to disadvantageous material and perceived economic factors on self-rated health in different life stages: fixed effects analyses with data from the German Socio... by Tobias Rähse, Matthias Richter, Anja Knöchelmann

“…Methods All analyses are based on longitudinal data from the German Socio-Economic Panel (SOEP) from 1994 to 2017. …”
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Dynamics of perceived threat and media exposure during the COVID-19 pandemic by Talia Morstead, Nancy L. Sin, Anita DeLongis

“…In this study, we used longitudinal data from 3189 primarily North American participants, collected monthly from June 2020 through January 2021 to examine reciprocal associations among media exposure, COVID-19 thought frequency, and perceived threat of COVID-19 at the within-person level of analysis. …”
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Association between exposure in the cement production industry and non-malignant respiratory effects: a systematic review by Anne Kristin Møller Fell, Karl Christian Nordby

“…Hence, no firm conclusions can be drawn. There are few longitudinal data, but recent studies report a dose–response relationship between cement production dust exposure and declining lung function indicating a causal relationship, and underlining the need to reduce exposure among workers in this industry.…”
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Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study by Anying Bai, Shan He, Yu Jiang, Weihao Xu, Zhanyi Lin

“…ObjectiveWe aim to compare the predictive capacities of 3 distinct aging metrics—motoric cognitive risk syndrome (MCR), physio-cognitive decline syndrome (PCDS), and cognitive frailty (CF)—for incident dementia and all-cause mortality among community-dwelling older adults. MethodsWe used longitudinal data from waves 10-15 of the Health and Retirement Study. …”
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Nurture-U student mental health longitudinal survey: a study protocol by Kate E Saunders, Samuel R Chamberlain, Jemima Dooley, Edward R Watkins, Liz Forty, Sarah Rees, Anne C Duffy, Anthony Quinn, Ellen Marshall, Lucy Dorey, Kevin A Matlock, Alexandra Newbold, Lucy J Robinson

“…This study aims to address gaps in longitudinal data on student mental health in the UK and to identify risk and protective factors across diverse student populations.Methods and analysis The current Nurture-U survey is developed from the U-Flourish biannual survey study piloted at Queen’s and Oxford universities in Canada and the UK, respectively. …”
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Evaluation of the effectiveness of the Iran-package of essential non-communicable disease (IraPEN) program in reducing cardiovascular disease risk in pilot areas by Somayeh Derakhshan, Davood Khalili, Alireza Mahdavi, Seyed-Saeed Hashemi-Nazari, Amir Kavousi, Fatemeh Hadavandsiri, Afshin Ostovar, Koorosh Etemad

“…Methods A secondary data analysis of longitudinal data collected between 2016 and 2017 from health centers in four pilot areas. …”
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Heightened demand for mental health information resources during the SARS-CoV-2 pandemic in Germany: A retrospective longitudinal analysis of helpline calls by Jil Zippelius, Simon Schreynemackers, Ulrich Hegerl, Hanna Reich

“…Methods: Based on longitudinal data from 2018 to 2022 predictive models were developed for caller trends on the Info-Telefon Depression. …”
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Environmental risk factors for self-harm during imprisonment: A pilot prospective cohort study. by Thomas Stephenson, Imogen Harris, Charlotte Armstrong, Seena Fazel, Roxanna Short, Nigel Blackwood

“…<h4>Discussion</h4>This exploratory pilot study provides prospective longitudinal data regarding relationships between prison environmental factors and self-harm behaviour. …”
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

“…Abstract Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major cause of death. We analyzed longitudinal data with a median 19-month follow-up. BC was diagnosed with ultrasounds and MRCP. …”
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Association of reported sleep disturbances with objectively assessed mild cognitive impairment among adults in the United States by Chan Shen, Hao Wang, Arthur Nguimatsa Djiotsop, R. Constance Wiener, Mona Pathak, Sophie Mitra, Patricia A Findley, Usha Sambamoorthi

“…This study investigated the associations between distinct sleep disturbances and mild cognitive impairment in adults aged 50 and older using nationally representative data. Methods: Longitudinal data from the Health and Retirement Study were analyzed to explore the association between mild cognitive impairment and three types of sleep disturbances: trouble falling asleep, trouble waking up, and waking up too early. …”
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Health Implications of Anabolic-Androgenic Steroids: Usage, Risks, and Treatment Approaches - The Literature Review by Krzysztof Jodłowski, Ewa Dubniewicz, Paula Majewska, Alicja Staszek, Wiktoria Łoskot, Jan Szwech, Mateusz Matczak, Karol Jasiński, Aleksandra Broda, Kacper Hoksa

“…Furthermore, the review highlights significant gaps in the literature, such as the absence of comprehensive guidelines for harm reduction and the scarcity of longitudinal data on the long-term effects of AAS. The findings suggest a critical need for continued research, better medical management, and societal interventions to mitigate the risks associated with AAS use and provide effective care for affected individuals. …”
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