Mala flavor preference increases risk of excessive gestational weight gain mediated by high-carbohydrate dietary patterns in Chongqing, China: an ambispective cohort study by Jinghua Li, Difei Wang, Yanyan Mao, Wuxia Zhang, Qianxi Zhu, Jun Liu, Jing Du, Weijin Zhou, Weijin Zhou, Fen Wang, Min Li

“…Taste preference drives food selection, acceptance, or rejection and influences nutritional status and body mass index. Nevertheless, there are few reports concerning pregnant women. …”
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Course of COVID-19 in Patients with Inflammatory Bowel Disease: Regional Experience by L. M. Kupkenova, E. N. Belousova, E. S. Bodryagina, D. D. Mukhametova, A. Kh. Odintsova, D. G. Iskhakova, D. I. Abdulganieva

“…It was found that the development of viral pneumonia was influenced by age over 55 years (39.2 ± 9.7 vs. 46.3 ± 10.6, p < 0.05), increased Body Mass Index (BMI) (23.1 ± 5.35 vs. 30.25 ± 6.17, p < 0.05), hypertension (6 (8.3 %) vs. 8 (27.6 %), p < 0.05), diabetes mellitus (2 (2.7 %) vs. 5 (17.2 %), p < 0.05), the use of corticosteroids in the treatment of IBD (8 (11.1 %) vs. 10 (34.5 %), p < 0.05). …”
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Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target by Hao Wu, Yuan Li, Yuxuan Jiang, Xinran Li, Shenglan Wang, Changle Zhao, Changle Zhao, Ximiao Yang, Baocheng Chang, Juhong Yang, Juhong Yang, Jianjun Qiao, Jianjun Qiao

“…SHAP analysis indicated a negative association between the relative abundance of six bacterial species, including B. pseudocatenulatum, and body mass index (BMI). Furthermore, B. pseudocatenulatum was shown to reduce lipid accumulation in C. elegans and inhibit lipid differentiation in C3H10T1/2 cells.ConclusionBifidobacterium pseudocatenulatum holds potential as a therapeutic agent for managing diet-induced obesity, underscoring its relevance in microbiome-based obesity research and intervention.…”
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Pengaruh Mobilisasi Ibu Post Partum terhadap Pengeluaran Kolostrum by Fitriyanti ., Joserizal Serudji, Sunesni .

“…No significant effect on stress level and Body Mass Index (BMI) and eject of colostrum with p value was 1.000 (> 0.05) but significant effect occurred between infant suction power against colostrums spending with p value was 0.047 (< 0.05). …”
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Hubungan Indeks Massa Tubuh dengan Derajat Kerusakan Sendi pada Pasien Osteoartritis Lutut di RSUP Dr. M. Djamil Padang by Endang Mutiwara, Najirman ., Afriwardi .

“…The objective of this study was to determine association between Body Mass Index (BMI) and degree of joint damage in knee osteoarthritis patient at DR. …”
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The association of triglyceride-glucose and triglyceride-glucose related indices with the risk of heart disease in a national by Xiaodi Tang, Kexin Zhang, Rong He

“…The incidence of heart disease was collected by following up 9 years. TyG, TyG with body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) were collected at baseline. …”
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Central Obesity Is Associated with Variations in TSH and ACTH Levels among Euthyroid Obese Individuals by Difei Lu, Zhenfang Yuan, Ying Gao, Wei Liu, Junqing Zhang

“…Patients were assigned to four groups according to the thyroid-stimulating hormone (TSH) level stratified by quartiles, and increased body mass index (BMI) was revealed in the highest TSH quartile group (p=0.002). …”
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Associations between hypovitaminosis D, adiposity indices and insulin resistance in adolescents: mediation analyses from NHANES 2011–2018 by Yaping Deng, Yingting Luo, Yilei Shen, Yong Zhao, Wei Cao, Jie Cao, Lijuan Xu, Lin Kong

“…Methods We conducted a comprehensive analysis of NHANES data from 2011 to 2018, examining the correlation between adiposity indices such as Body Mass Index (BMI), Fat Mass Index (FMI, defined as the ratio of fat mass to height squared), hypovitaminosis D, and IR. …”
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Waist circumference and altered metabolic indices are associated with increased resting pulse rate in middle-aged adults by Laith Ashour, Zaid Taimeh, Moaiad Hussein, Zeid Jarrar, Nicola Hanna Madani, Noor Mnaa, Layan Ayesh, Ahmad Odeh, Sama Samer Abu Monshar, Muath Mohammad Dabas, Rawan Almejaibal

“…The total number of participants was 1839 (weighted n=1,390,763), the mean age was 38.1 [standard deviation (SD)=2.0] and the mean pulse rate was 75.2 (SD=11.6). Notably, body mass index did not exhibit a statistically significant relationship with resting pulse rate. …”
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Geographical Differences in the Safety and Efficacy of Tofacitinib Versus TNFi: A Post Hoc Analysis of ORAL Surveillance by Bogdan Batko, Slawomir Jeka, Piotr Wiland, Agnieszka Zielińska, Maria Stopińska-Polaszewska, Marcin Stajszczyk, Magdalena Kosydar-Piechna, Mary Jane Cadatal, Jose L. Rivas

“…Results Of 4362 patients (Poland, N = 759; North America, N = 1243; Other countries, N = 2360), more patients from North America versus Poland/Other countries had CV risk factors such as body mass index ≥ 30 kg/m2 and history of diabetes/hypertension; however, more patients from Poland versus other regions were ever smokers and more patients from Poland/North America versus Other countries had history of coronary artery disease. …”
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Cardiovascular Risk Biomarkers in Women with and Without Polycystic Ovary Syndrome by Manjula Nandakumar, Priya Das, Thozhukat Sathyapalan, Alexandra E. Butler, Stephen L. Atkin

“…Results: Eleven CVRPs were dysregulated in PCOS (whole set, without matching for body mass index (BMI) or insulin resistance (IR)): leptin, Interleukin-1 receptor antagonist protein (IL-1Ra), polymeric immunoglobulin receptor (PIGR), interleukin-18 receptor (IL-18Ra), C-C motif chemokine 3 (MIP-1a), and angiopoietin-1 (ANGPT1) were upregulated whilst advanced glycosylation end product-specific receptor, soluble (sRAGE), bone morphogenetic protein 6 (BMP6); growth/differentiation factor 2 (GDF2), superoxide dismutase [Mn] mitochondrial (MnSOD), and SLAM family member 5 (SLAF5) were downregulated versus the controls. …”
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Early Postoperative Pain Control and Inflammation for Total Knee Arthroplasty: A Retrospective Comparison of Continuous Adductor Canal Block versus Single-Shot Adductor Canal Block... by Xiaojuan Yang, Jun Dong, Wei Xiong, Fusen Huang

“…Patients were matched according to age, body mass index, and American Society of Anesthesiologists class. …”
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Butyrylcholinesterase Levels on Admission Predict Severity and 12-Month Mortality in Hospitalized AIDS Patients by Lijun Xu, Biao Zhu, Ying Huang, Zongxing Yang, Jia Sun, Yan Xu, Jinlei Zheng, Sabine Kinloch, Michael T. Yin, Honglei Weng, Nanping Wu

“…Associations between BChE level and CD4 count, WHO stage, body mass index (BMI), C-reactive protein (CRP) level, and duration of hospitalization were assessed. …”
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Age and sex differences in the relationship of body weight changes with colon cancer risks: A nationwide cohort study by Jae Hyun Kim, Young Ko, Hyun Jung Kim, Seun Ja Park

“…The analysis included data from 10,332,397 individuals, with a mean (± SD) age of 45.5 ± 13.1 years, and 54.9% were male. In males with a body mass index (BMI) range of 18–30 kg/m2, both a weight gain of 5–20% (HR 1.07, P > z 0.01 [95% CI 1.02–1.13]) and weight gain > 20% (HR 1.27, P > z 0.03 [95% CI 1.03–1.56]) were associated with an increased risk for colon cancer. …”
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Glucagon: a potential protective factor against peripheral nerve compromise in patients with type 2 diabetes and obesity by Hao Hua, Rui Wang, Yu-xian Xu, Feng Xu, Chun-hua Wang, Li-hua Zhao, Li-hua Wang, Cheng-wei Duan, Jian-bin Su

“…This study aimed to elucidate the role of glucagon in peripheral nerve function in patients with T2D with different body mass indices (BMIs). Methods We consecutively enrolled 174 individuals with T2D and obesity (T2D/OB, BMI ≥ 28 kg/m2), and 480 individuals with T2D and nonobesity (T2D/non-OB, BMI < 28 kg/m2), all of whom underwent oral glucose tolerance tests to determine the area under the curve for glucagon (AUCgla). …”
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Association between geriatric nutritional risk index and overactive bladder in the elderly population: a cross-sectional study by Wei Zheng, Wei Zheng, Chuanzan Zhou, Jia Miao, Yunkai Yang, Xuanhan Hu, Heng Wang, Xinyu Zhang, Qi Zhang, Yifan Wang

“…In receiver operating characteristic analysis, GNRI outperforms serum albumin or body mass index (BMI) alone in predicting OAB risk. …”
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Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records by Peter Bower, Rachel Meacock, Evangelos Kontopantelis, David Reeves, Matt Sutton, Simon Heller, William Whittaker, Sarah Cotterill, Elizabeth Howarth, Claudia Soiland-Reyes, Rathi Ravindrarajah

“…Individuals aged 45–54 were at the highest risk of developing T2DM (HR 1.20, 95% CI 1.15 to 1.25— compared with those aged 18–44), and the risk reduced with older age. A body mass index (BMI) above 30 kg/m2 was strongly associated with conversion (HR 2.02, 95% CI 1.92 to 2.13—compared with those with a normal BMI). …”
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Periodontal pathogens and obesity in the context of cardiovascular risks across age groups by Georgy Leonov, Yurgita Varaeva, Elena Livantsova, Andrey Vasilyev, Andrey Vasilyev, Olga Vladimirskaya, Tatyana Korotkova, Dmitry Nikityuk, Antonina Starodubova, Antonina Starodubova

“…The relationship between periodontal pathogens and CVD risk factors, including obesity, smoking, lipid metabolism disorders, and inflammatory markers, remains underexplored.MethodsThis study examined the relationship between six periodontal pathogens (Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, Treponema denticola, Tannerella forsythia, Prevotella intermedia, and Fusobacterium nucleatum) and CVD risk factors among 189 subjects stratified by age and body mass index (BMI). Body composition was assessed via bioimpedance analysis, and blood samples were analyzed for lipid profiles, glucose, and proinflammatory cytokines. …”
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Correlation between Thyroid Homeostasis and Obesity in Subclinical Hypothyroidism: Community-Based Cross-Sectional Research by Yu Zhou, Sujie Ke, Kejun Wu, Jingze Huang, Xuelin Gao, Beibei Li, Xiaoying Lin, Xiaohong Liu, Xiaoying Liu, Li Ma, Linxi Wang, Li Wu, Lijuan Wu, Chengwen Xie, Junjun Xu, Yanping Wang, Libin Liu

“…Indices of obesity, including body mass index (BMI), waist circumference (WC), and waist-height ratio (WHtR) were measured. …”
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Feasibility study to assess the delivery of a lifestyle intervention (TreatWELL) for patients with colorectal cancer undergoing potentially curative treatment by Annie S Anderson, Ronan E O’Carroll, Martine Stead, Robert J C Steele, Mary Wells, Maureen Macleod, Anna Campbell, Jacqui A Sugden, Jackie Rodger, Jennifer McKell

“…The majority of participants (77%) had a body mass index&gt;25 kg/m2 and none was underweight. …”
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