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  1. 2001

    Role of Arg1+ ILC2s and ILCregs in gestational diabetes progression by Zhangyun Gong, Haixing Yi, Jie Zhang, Wan Li, Hao Wang, Peipei Guo, Caihua Li, Anan Pan, Yunxia Cao, Zhimin Lu, Huanhuan Jiang

    Published 2025-01-01
    “…This study included 19 patients diagnosed with GDM and 19 age- and body mass index-matched individuals in the control group. …”
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  2. 2002

    Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes by Ambre Bertrand, Andrew Lewis, Julia Camps, Vicente Grau, Blanca Rodriguez

    Published 2024-10-01
    “…Trends were consistent in subgroups of different sex, age and body mass index. Fewer significant differences were observed in participants of non-white ethnic background. …”
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  3. 2003

    Glycated hemoglobin and microalbuminuria in patients with type 2 diabetes mellitus by Afrim Zeqiraj, Dafina Zeqiraj, Teuta MullaGoga, Fidel Krasniqi, Agim Shabani, Sanije Berisha, Agim Berisha, Blerim Morina, Florjana Zogaj

    Published 2024-11-01
    “…From the analyzes made between the patients under study and the control group, we obtained high results to a significant degree in these parameters: HbA1c (p < 0.001), triglycerides (p < 0.04), microalbumins (p < 0.001), body mass index (p < 0.03). Conclusions. Increasing levels of microalbuminuria in diabetic patients worldwide and in ours will be an immediate requirement for microalbuminuria tests to be routinely performed in addition to HbA1c by all health institutions for better surveillance of patients in order to prevent the deterioration of their health status.…”
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  4. 2004

    Correlation Analysis of Hypothalamic-Pituitary-Adrenal Axis Hormone Levels in Hair before Stroke Onset and Mood Disorders after Stroke by WANG Tiantian, JIA Yuanyuan, QI Deyi, DENG Huihua, MENG Dianhuai

    Published 2024-06-01
    “…Another 40 healthy subjects matched for age, sex and body mass index were included as the healthy control group. …”
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  5. 2005

    Childhood overweight and obesity and back pain risk: a cohort study of 466 997 children by Daniel Prieto-Alhambra, Andrew J Carr, Antony J Palmer, Talita Duarte-Salles, Jose Luis Poveda, Daniel Martinez-Laguna, Carlen Reyes, Jeroen de Bont, Alan Silman

    Published 2020-09-01
    “…Multivariable Cox models were fitted to explore the association between back pain and weight status categories according to the WHO 2007 growth reference groups (body mass index for age z-score). Models were adjusted for age, sex, socioeconomic status and nationality.Participants Children seen at age 4 years at paediatric primary care clinics between 1 January 2006 and 31 December 2013 and followed up until 31 December 2016 or age 15 years.Outcome measures Incident back pain registered by paediatricians at primary care using the International Statistical Classification of Diseases and Health Related Problems, 10th Edition code M54.Results 466 997 children were followed for a median 5.0 years (IQR 5.1). …”
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  6. 2006

    Optimizing Obstructive Sleep Apnea Risk Assessment in Hypertension: Development of a Predictive Nomogram in China by Yang Y, Sun X, Liang J, Liao WF, Ye W, Zheng Z, Du L, Chen M, Zhang Y, Lin W, Huang J, Yao W, Chen R

    Published 2025-02-01
    “…Based on LASSO and Logistic regression analyses and clinical practicality, we identified gender, age, BMI (body mass index), NC (neck circumference) and ESS (Epworth Sleepiness Scale) as predictors for the nomogram. …”
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  7. 2007

    Cost analysis of dermal allograft patch utilization in rotator cuff repair by Adrik Z. Da Silva, BS, Joshua Mizels, MD, Christopher E. Clinker, BS, Minkyoung Yoo, PhD, Richard Nelson, PhD, Christopher Joyce, MD, Robert Z. Tashjian, MD, Peter N. Chalmers, MD

    Published 2025-02-01
    “…Multivariable analysis revealed that there was a $4930 total direct cost increase with the utilization of a patch (P <.001) after controlling for age, body mass index, American Society of Anesthesiologists (ASA), Charlson comorbidity index, gender, surgeon, tear width, number of anchors, occupation, biceps treatment, prior surgery, and repair construct. …”
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  8. 2008

    The role of the estimated glomerular filtration rate and body roundness index in the risk assessment of uric acid-lowering therapy-resistant gout in U.S. adults: evidence from the... by Mengyuan Zhu, Xingqiang Wang, Zining Peng, Weitian Yan, Qian Deng, Meihui Li, Nian Liu, Ling Zhang

    Published 2025-12-01
    “…Objective To explore the risk factors for uric acid-lowering therapy-resistant gout (UALT-RG) and its relationships with the estimated glomerular filtration rate (eGFR), body roundness index (BRI), and visceral adiposity index (VAI) via 2007–2018 National Health and Nutrition Examination Survey (NHANES) data.Methods We calculated the BRI using waist circumference and standing height; the VAI using triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C), and body mass index (BMI); and the eGFR from serum creatinine levels. …”
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  9. 2009

    Validity between dual-energy x-ray absorptiometry and bioelectrical impedance for segmental fat analysis and a novel low-cost model developed using anthropometry in young adults by Malek Mecherques-Carini, Mario Albaladejo-Saura, Francisco Esparza-Ros, Nicolás Baglietto, Raquel Vaquero-Cristóbal

    Published 2025-01-01
    “…Key predictors of segmental fat mass included body mass (r = 0.606–0.867; p < 0.001), skinfold thickness (r = 0.688–0.893; p < 0.001), and waist girth (r = 0.883 − 0.810; p < 0.001). …”
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  10. 2010

    Identification and validation of respiratory subphenotypes in patients with COVID-19 acute respiratory distress syndrome undergoing prone position by Mônica R. da Cruz, Pedro Azambuja, Kátia S. C. Torres, Fernanda Lima-Setta, André M. Japiassú, Denise M. Medeiros

    Published 2024-11-01
    “…Subphenotype B had a higher proportion of females (p < 0.001) and lung disease (p = 0.005), higher baseline SAPS III (p = 0.002) and SOFA (p < 0.001) scores, and lower body mass index (p = 0.05). Subphenotype B had also higher levels of the pro-inflammatory biomarker IL-6 (p = 0.017). …”
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  11. 2011

    The Magnitude of Salt Intake Behaviors and Its Predictors among Saqez Urban Population of Kurdistan District in Iran: A Cross-Sectional Study by Kolsom Khoram, Mohammad Asghari-Jafarabadi, Mehrangiz Ebrahimi-Mamagani, Behjat Shokrvash, Maral Hariri-Akbari

    Published 2022-01-01
    “…Data collection was performed using valid questionnaires, demographic, family economic status, knowledge, perception, intention, salt intake behaviors, and salt control methods, along with measuring body mass index (BMI) and hypertension levels. Descriptive, analytical statistical methods and multivariate logistic regression analysis were used to determine the predictors of desirable salt control methods. …”
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  12. 2012

    Cohort profile: Noncommunicable diseases and ideal cardiovascular health among people living with and without HIV in Zambia and Zimbabwe (NCDzz cohort) by Gilles Wandeler, Samuel Bosomprah, Cleophas Chimbetete, Belinda Varaidzo Chihota, Guy Muula, Carolyn Bolton-Moore, Tinei Shamu, Ardele Mandiriri, Esau Banda

    Published 2025-02-01
    “…Overall, 60% of participants met the criteria of ICVH metrics (5–7 ideal components) and among individual components of the LS7, more females had poor body mass index (BMI) than males, regardless of HIV status (27% vs 3%, p&lt;0.001). …”
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  13. 2013

    The associations between the energy and timing of sugar-sweetened beverage intake and phenotypic age acceleration in U.S. adults: a cross-sectional survey of NHANES 2007–2010 by Teng Xia, Qian Yuan, Yao Zhang, Guangmei Shan

    Published 2025-01-01
    “…Furthermore, obesity was assessed via two distinct metrics: the body roundness index (BRI) and the body mass index (BMI). Mediation analysis was conducted to investigate the mediating effect of obesity on the relationship between the energy of SSB intake and PhenoAgeAccel. …”
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  14. 2014

    The effect of an app-based dietary education on dietary intake and cardiometabolic risk markers in people with type 2 diabetes: results from a randomized controlled trial by Linnea Sjöblom, Essi Hantikainen, Anna Dahlgren, Ylva Trolle Lagerros, Stephanie E. Bonn

    Published 2025-01-01
    “…At baseline, mean age was 63.0 years and mean body mass index was 29.8 kg/m2. When analyzing dietary record data, we found no effect of the intervention on diet quality or intake, however, the control group had increased their score by 1.6 points (95%CI: -2.9, -0.26) compared to the intervention group. …”
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  15. 2015

    The association between monocyte to high-density lipoprotein cholesterol ratio and chronic kidney disease in a Chinese adult population: a cross-sectional study by Lingling Xu, Dongling Li, Zongwei Song, Jin Liu, Yang Zhou, Junwei Yang, Ping Wen

    Published 2024-12-01
    “…Characteristic indicators including waist circumference, body mass index (BMI), blood pressure (BP), serum uric acid (SUA), triglyceride, and fasting blood glucose (FBG) showed a gradual increase with higher MHR quartiles, whereas parameters such as age, total cholesterol, high-density lipoprotein cholesterol (HDL-C), and eGFR decreased (p < .001). …”
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  16. 2016

    Association of neighborhood level socioeconomic status and patient reported clinical improvement following total shoulder arthroplasty by Caleb Morgan, MD, Amanda Firoved, MOT, OTR, Patrick J. Denard, MD, Justin W. Griffin, MD

    Published 2025-01-01
    “…There were no significant differences between groups for body mass index or age at time of surgery. All groups significantly improved from baseline scores on all PROs (P < .001) with the majority of improvement being achieved within the first year after surgery. …”
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  17. 2017

    Global status and attributable risk factors of breast, cervical, ovarian, and uterine cancers from 1990 to 2021 by Tianye Li, Haoxiang Zhang, Mengyi Lian, Qionghua He, Mingwei Lv, Lingyun Zhai, Jianwei Zhou, Kongming Wu, Ming Yi

    Published 2025-01-01
    “…Attributable risk factors for breast cancer-associated deaths in 2021 included dietary risks, high body-mass index (BMI), high fasting plasma glucose, alcohol use, tobacco use, and low physical activity. …”
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  18. 2018

    Epidemiologic Data of Vitamin D Deficiency and Its Implication in Cardio-Cerebrovascular Risk in a Southern Italian Population by Rocco Capuano, Federica Marchese, Raffaella Sica, Eduardo Capuano, Marzia Manilia, Anna Grazia Iannone, Alessandro D’Ambrosio, Alvino Bisecco, Gioacchino Tedeschi, Antonio Gallo, Vincenzo Capuano

    Published 2021-01-01
    “…To establish the prevalence of 25(OH)D deficiency and to investigate the relationship between 25(OH)D levels and CCV risk factors (blood cholesterol, triglycerides, glucose concentrations, body mass index, and systolic and diastolic blood pressure) in a cohort representative of Southern Italy. …”
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  19. 2019
  20. 2020

    Inferior outcome of stand-alone short versus long tibial stem in revision total knee arthroplasty. A retrospective comparative study with minimum 2 year follow-up by Abdelatif Elsayed Ahmed, Abu Mukh Assala, Elsaid Ahmed Nady Saleh, Youssef Ahmed Omar, Foissey Constant, Servien Elvire, Lustig Sebastien

    Published 2025-01-01
    “…The mean age at surgery was 65.96 ± 8.73 years in SS and 67.07 ± 8.64 years in LS. The mean Body Mass Index (BMI) was 28.95 is SS and 30.88 in LS (p < 0.05). …”
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