Safety of a co-designed cognitive behavioural therapy intervention for people with type 1 diabetes and eating disorders (STEADY): a feasibility randomised controlled trialResearch... by Marietta Stadler, Natalie Zaremba, Amy Harrison, Jennie Brown, Divina Pillay, Jacqueline Allan, Rachael Tan, Salma Ayis, Emmanouela Konstantara, Janet Treasure, David Hopkins, Khalida Ismail

“…Forty adults with T1DE (Hba1c < 15%, body mass index 15–35 kg/m2, age ≥ 18 years) were randomised. …”
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Bexarotene-induced hypothyroidism and dyslipidemia; a nation-wide study by Katsunori Manaka, Junichiro Sato, Yusuke Hikima, Hirofumi Horikoshi, Maho Taguchi, Akimichi Morita, Hiraku Suga, Hikari Boki, Taku Fujimura, Yoji Hirai, Takatoshi Shimauchi, Chiharu Tateishi, Eiji Kiyohara, Ikko Muto, Hideki Nakajima, Riichiro Abe, Kazuyasu Fujii, Chikako Nishigori, Eiji Nakano, Kentaro Yonekura, Takeru Funakoshi, Masahiro Amano, Tomomitsu Miyagaki, Reiko Yamashita, Makoto Sugaya, Toshihisa Hamada, Masaomi Nangaku, Taroh Iiri, Noriko Makita

“…Jonckheere-Terpstra (one sided) test was performed to evaluate the effect of the bexarotene dose on lipid metabolisms, and regression analyses were performed to evaluate associations of bexarotene dose, free thyroxine (FT4), body mass index (BMI), and lipid metabolisms. Most patients developed hypothyroidism. …”
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Superior Mesenteric Artery Syndrome: Clinical, Endoscopic, and Radiological Findings by Emanuele Sinagra, Dario Raimondo, Domenico Albano, Valentina Guarnotta, Melania Blasco, Sergio Testai, Marta Marasà, Vincenzo Mastrella, Valerio Alaimo, Valentina Bova, Giovanni Albano, Dario Sorrentino, Giovanni Tomasello, Francesco Cappello, Angelo Leone, Francesca Rossi, Massimo Galia, Roberto Lagalla, Federico Midiri, Gaetano Cristian Morreale, Georgios Amvrosiadis, Guido Martorana, Marcello Giuseppe Spampinato, Vittorio Virgilio, Massimo Midiri

“…The prevalence of SMA syndrome was 0.005%. Median age and body mass index were 23.5 years and 21.5 kg/m2, respectively. …”
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Evaluation of long‐acting cabotegravir safety and pharmacokinetics in pregnant women in eastern and southern Africa: a secondary analysis of HPTN 084 by Sinead Delany‐Moretlwe, Brett Hanscom, Xu Guo, Clemensia Nkabiito, Patricia Mandima, Patricia Ntege Nahirya, Juliet Mpendo, Muchaneta Bhondai‐Mhuri, Nyaradzo Mgodi, Rebecca Berhanu, Jennifer Farrior, Estelle Piwowar‐Manning, Susan L. Ford, Craig W. Hendrix, Alex R. Rinehart, James F. Rooney, Adeola Adeyeye, Raphael J. Landovitz, Myron S. Cohen, Mina C. Hosseinipour, Mark A. Marzinke, the HPTN 084 Study Team

“…The CAB t1/2app geometric mean was 52.8 days (95% CI 40.7−68.4) in pregnant women compared to 60.3 days (95% CI 47.7−76.3; p = 0.66) in non‐pregnant women; neither pregnancy nor body mass index were significantly associated with t1/2app. …”
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Decreased risk of cardiovascular disease mortality associated with occasional positive screens following cancer screenings by Yuting Ji, Yu Zhang, Hongyuan Duan, Xiaomin Liu, Yunmeng Zhang, Zhuowei Feng, Jingjing Li, Zeyu Fan, Ya Liu, Yacong Zhang, Lei Yang, Zhangyan Lyu, Fangfang Song, Fengju Song, Hua Li, Yubei Huang

“…Exploratory analyses indicated a significantly higher proportion of any body mass index (BMI) reduction among those with a baseline BMI ≥ 25 kg/m2 who had positive screens compared to the control arm, particularly for individuals with occasional positive screens (48.07% vs. 47.04%, P value = 0.037). …”
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The effect of the number of endometrial CD138+ cells on the pregnancy outcomes of infertile patients in the proliferative phase by Yuye Li, Yuye Li, Shuyi Yu, Shuyi Yu, Wenjuan Liu, Yawen Chen, Xiaobing Yang, Juanhua Wu, Mingjuan Xu, Guanying You, Ruochun Lian, Chunyu Huang, Chunyu Huang, Wanru Chen, Yong Zeng, Yong Zeng, Fenghua Liu, Lianghui Diao

“…Although the 0 and ≥3 positive lesions groups showed a trend toward higher rates of clinical pregnancy (P =0.132), these differences failed to reach statistical significance. After age, body mass index (BMI), and clinical features were adjusted for, the ≥3 positive lesions group showed significantly lower live birth rates (aOR, 1.84; 95%CI, 1.08-3.15; P =0.026), clinical pregnancy (adjusted odds ratio (aOR), 1.78; 95% CI, 1.06-2.95; P =0.028), and ongoing pregnancy (aOR, 1.85; 95% CI, 1.09-3.15; P =0.024). …”
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The Knee-SCHOOL: a brief patient-centered multidisciplinary educational program for knee osteoarthritis by Denise Vianna Machado Ayres, Sabrina Saemy Tome Uchiyama, Andréa Oliveira Prates, Rosana Aparecida Freitas Lopes, Antenor Bispo Santos Silva, Denise Rodrigues Tsukimoto, Rosimeire Alves Amorim, Taynah Souza Ribeiro, Artur Cesar Aquino Santos, André Tadeu Sugawara, André Tadeu Sugawara, Marcos Montagnini, Linamara Rizzo Battistella, Linamara Rizzo Battistella, Marta Imamura, Marta Imamura

“…Study measures included demographic data (age, sex, and educational level), pain duration (years), pain intensity (visual analogue scale), affected knee (right, left, or both knees), comorbidities (presence of hypertension, diabetes, and hypercholesterolemia), Body Mass Index (BMI), Bristol Stool Scale, Adapted Healthy Eating Index (AHEI), bioelectrical impedance, daytime sleepiness, and the impact of the KOA on pain, symptoms, activities of daily living, recreation, and quality of life. …”
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Pan-tumor analysis to investigate the obesity paradox in immune checkpoint blockade by Evan J Lipson, Ludmila Danilova, Elizabeth M Jaffee, Won Jin Ho, Mark Yarchoan, Yasser Ged, Jean Hoffman-Censits, Jennifer Durham, Sanjay Bansal, Chester Kao, Rajat Mohindra, Stephanie L Alden, Tanguy Y Seiwert, Soren Charmsaz, Howard L Li, Kabeer Munjal, Hua-Ling Tsai, Alexei Hernandez, Erin M Coyne, Rachel Garonce-Hediger, Laura Tang, Marina Baretti, Kathryn Howe, G Scott Chandler, Madelena Brancati, Aanika Warner, Ervin Griffin, Mari Nakazawa, Chris Thoburn, Jennifer Gizzi, Nicole E Gross, Elsa Hallab, Sarah S Shin, Aditi Guha

“…Patients were stratified by obesity status at treatment initiation, with obesity defined as body mass index (BMI)≥30 at treatment initiation and BMI≥18.5 and &lt;30 considered non-obese; underweight patients (BMI&lt;18.5) were excluded. …”
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Progression and mortality of patients with cystic fibrosis in China by Wangji Zhou, Yaqi Wang, Yanli Yang, Yanyan Sun, Chongsheng Cheng, Jinrong Dai, Shuzhen Meng, Keqi Chen, Yang Zhao, Xueqi Liu, Dingding Zhang, Song Liu, Weiguo Zhu, Yaping Liu, Kai-Feng Xu, Xinlun Tian

“…Compared to patients diagnosed with CF in childhood, adult-diagnosed patients exhibit a lower proportion of pancreatic exocrine insufficiency (25.0% vs. 77.8%, P = 0.001) and a higher body mass index (19.6 vs. 17.7 kg/m2, P = 0.045). According to the mixed-effects model, for patients ≤ 30 years of age at diagnosis, FEV1% predicted decreased 1.17% per year. …”
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Olanzapine for young PEople with aNorexia nervosa (OPEN): results of a feasibility study by Olena Said, Dominic Stringer, Ece Sengun Filiz, Hiba Mutwalli, Sevgi Bektas, Melahat Nur Akkese, Vanessa Kellermann, Katie Ireland, Elizabeth Tyrrell-Bunge, Demelza Beishon-Murley, Joel W. T. Khor, Lee Allman, Joanna Barker, Nicus Kotze, Ben Carter, Mima Simic, Dilveer Singh Sually, Jessica Bentley, Allan H. Young, Sloane Madden, Sarah Byford, Sabine Landau, Vanessa Lawrence, Janet Treasure, Ulrike Schmidt, Dasha Nicholls, Hubertus Himmerich

“…In addition, two exploratory effect size parameters were estimated: Mean change in body mass index (BMI) and mean change in ED psychopathology. …”
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Bio-impedancemetry an essential tool in the obesity screening of patients with chronic renal failure [La bio-impédancemétrie un outil indispensable dans le dépistage de l’obésité c... by Samia BOUDANI, Faiza ZERDOUMI, Naouel FZ. BOUMANSOUR, Abbou KADDOUS, Bachir M. GUELLIL

“…To establish the prevalence of obesity in patients with CKD, before starting extra-renal purification, based on two anthropometric methods: body mass index (BMI) and bioelectrical impedance. …”
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Outcomes and risk factors of transported patients with extracorporeal membrane oxygenation: An ECMO center experience by Lingjuan Liu, Dingji Hu, Tong Hao, Shanshan Chen, Lei Chen, Yike Zhu, Chenhui Jin, Jing Wu, Haoya Fu, Haibo Qiu, Yi Yang, Songqiao Liu

“…Result: Out of 303 patients supported with ECMO, 111 (36.6%) were transported. 69.4% of the transport group were male, mean age was (42.0±17.0) years, mean body mass index was (24.4±4.6) kg/m2, and veno-arterial-ECMO accounted for 52.5%. …”
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Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C) by Jane E B Reusch, Rachel Wong, Nasia Safdar, Harold Lehmann, Brijesh Patel, Til Stürmer, Hongfang Liu, Peter Robinson, Elaine Hill, Richard Moffitt, Justin Guinney, Joel Gagnier, Cavin Ward-Caviness, Noha Sharafeldin, Justin Starren, Amit Saha, Lesley Cottrell, Melissa A Haendel, Margaret A Hall, Vignesh Subbian, Kristin Kostka, Farrukh M Koraishy, Andrew E Williams, Robert Hurley, Steve Johnson, Usman Sheikh, Rishi Kamaleswaran, Christopher Dillon, Michele Morris, Randeep Jawa, Hemalkumar Mehta, Benjamin Bates, Tellen D Bennett, Nabeel Qureshi, Katie Rebecca Bradwell, Federico Mariona, Adam B Wilcox, Adam M Lee, Alexis Graves, Amin Manna, Amy Olex, Andrea Zhou, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Brian Hendricks, Caleb Alexander, Carolyn Bramante, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Eilis Boudreau Don Brown, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Fred Prior, George Sokos, Greg Martin, Heidi Spratt, Hythem Sidky, JW Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Karen Crowley, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nicole Garbarini, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Rafael Fuentes, Rebecca Erwin-Cohen, Richard A Moffitt, Richard L Zhu, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, T Shawn, Soko Setoguchi O'Neil, Stephanie S Hong, Tiffany Callahan, Umit Topaloglu, Valery Gordon, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang, Samuel Soff, Yun Jae Yoo, Jared Davis Huling, Daniel Brannock, Zachary Butzin-Dozier, Alfred Jerrod Anzalone, Philip RO. Payne, Rena Patel

“…Logistic regression was used to evaluate the risk of Long COVID by HbA1c range, adjusting for demographics, body mass index, comorbidities, and diabetes medication. …”
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Nonacademic predictors of China medical licensing examination by Jie Sun, Yingying Xie, Ningnannan Zhang, Jingliang Cheng, Meiyun Wang, Bing Zhang, Wenzhen Zhu, Hui Zhang, Shijun Qiu, Xiaojun Xu, Yongqiang Yu, Tong Han, Zuojun Geng, Weihua Liao, Bo Gao, Wen Qin, Feng Liu, Meng Liang, Qiang Xu, Jilian Fu, Jiayuan Xu, Mengge Liu, Peng Zhang, Wei Li, Dapeng Shi, Caihong Wang, Xi-Nian Zuo, Quan Zhang, Feng Chen, Jiance Li, Zhihan Yan, Wen Shen, Yanwei Miao, Junfang Xian, Longjiang Zhang, Kai Xu, Zhaoxiang Ye, Jing Zhang, Guangbin Cui, Chunshui Yu, for the CHIMGEN Consortium

“…Results We identified seven nonacademic predictors for GMKT performance. Body mass index (BMI) and working memory reaction time showed direct negative effects on GMKT performance. …”
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Severe obesity, high inflammation, insulin resistance with risks of all-cause mortality and all-site cancers, and potential modification by healthy lifestyles by Qianyun Jin, Siwen Liu, Yunmeng Zhang, Yuting Ji, Jie Wu, Hongyuan Duan, Xiaomin Liu, Jingjing Li, Yacong Zhang, Zhangyan Lyu, Fangfang Song, Fengju Song, Hua Li, Yubei Huang

“…The independent and joint associations of severe obesity (body mass index ≥ 35 m/kg2), inflammation (C-reactive protein > 10 mg/L and systemic inflammation markers > 9th decile), and IR surrogates with the risks of all-cause mortality and all-site cancers, were evaluated in 163,008 participants from the UK Biobank cohort. …”
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Association between gestational weight gain and adverse pregnancy outcomes: cohort analysis from South Asia and Sub-Saharan Africa by Anisur Rahman, Fyezah Jehan, Gary M Shaw, Sunil Sazawal, Salahuddin Ahmed, Abdullah H Baqui, David K Stevenson, Monjur Rahman, Jesmin Pervin, Shaki Aktar, Rasheda Khanam, Sayedur Rahman, Nitya Wadhwa, Ge Zhang, Huan Xu, Usma Mehmood, Shinjini Bhatnagar, Jeffrey S A Stringer, Bellington Vwalika, Waqasuddin Khan, Nabidul Haque Chowdhury, Imran Nisar, Javairia Khalid, Nima Aghaeepour, U Tin Nu, Yuri V Sebastião, Ramachandran Thiruvengadam, Ayushi, Bapu Koundinya Desiraju, Fatma Kabole, Muhammad Farrukh Qazi, Margaret Kasaro, Bihila Abdalla Bakari

“…We then estimated the associated risks of preterm birth, low birth weight, and small for gestational age, stratified by maternal body mass index (BMI), using marginal generalised linear models and plotted non-linear trends in the associations.Results The median baseline maternal and gestational age were 24 years (IQR, 21–28) and 13 weeks (IQR 11–16), respectively, with 23% of participants having underweight BMI. …”
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Linking obesity-associated genotype to child language development: the role of early-life neurology-related proteomics and brain myelinationResearch in context by Jian Huang, Jinyi Che, Michelle Z.L. Kee, Ai Peng Tan, Evelyn C. Law, Patricia Pelufo Silveira, Irina Pokhvisneva, Sachin Patel, Keith M. Godfrey, Lourdes Mary Daniel, Kok Hian Tan, Yap Seng Chong, Shiao-Yng Chan, Johan G. Eriksson, Dennis Wang, Jonathan Yinhao Huang

“…Methods: In a longitudinal Singaporean mother-offspring cohort, we leveraged trans-ancestry polygenic predictions of body mass index (BMI) to interrogate the causal effects of early-life BMI on child language development and its effects on molecular and neuroimaging measures. …”
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Association between plasma perfluoroalkyl substances and high-grade serous ovarian cancer overall survival: A nested case-control study by Wei-Yi Xing, Fang-Hua Liu, Dong-Dong Wang, Jia-Ming Liu, Wen-Rui Zheng, Jia-Xin Liu, Lang Wu, Yue-Yang Zhao, He-Li Xu, Yi-Zi Li, Yi-Fan Wei, Dong-Hui Huang, Xiao-Ying Li, Song Gao, Qi-Peng Ma, Ting-Ting Gong, Qi-Jun Wu

“…Methods: We conducted a nested case-control study within the Ovarian Cancer Follow-Up Study, matching 159 dead patients and 159 survival ones based on body mass index, sample date, and age at diagnosis. …”
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Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model de... by Hayeon Lee, Seung Ha Hwang, Seoyoung Park, Yunjeong Choi, Sooji Lee, Jaeyu Park, Yejun Son, Hyeon Jin Kim, Soeun Kim, Jiyeon Oh, Lee Smith, Damiano Pizzol, Sang Youl Rhee, Hyunji Sang, Jinseok Lee, Dong Keon Yon

“…The SHAP value analysis of our proposed model revealed that age was the most important predictor of incident T2DM, followed by fasting blood glucose, hemoglobin, γ-glutamyl transferase level, and body mass index. The model probability is associated with an increased risk of mortality (T1: adjusted hazard ratio, 2.82 [95% CI, 2.01–3.94]; T2: 3.89 [2.74–5.53]; and T3: 7.73 [5.37–11.12]). …”
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600 meters to VO2max: Predicting Cardiorespiratory Fitness with an Uphill Run by Kübra Stoican, Regina Oeschger

“…In addition to the user’s anthropometric data (age, gender, body mass index) and time, we also used the speed to heart rate (HR) ratio as a predictor variable, since a previous study has shown its importance [8]. …”
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