mHealth Intervention for Dementia Prevention through lifestyle Optimisation (MIND-PRO) in a primary care setting: protocol for a randomised controlled trial in people with low SES... by Edo Richard, Esther Van den Berg, Ron Handels, Henrike Galenkamp, Eric P Moll van Charante, Marieke P Hoevenaar-blom, Anne Roos van der Endt, Martien J H Kas

“…The primary effectiveness outcome is a composite score of systolic blood pressure, non-high-density lipoprotein cholesterol and body mass index. Implementation outcomes include coverage, adoption, acceptability, appropriateness, feasibility, fidelity, costs and sustainability of the intervention. …”
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Prognostic Value of Concomitant Bronchiectasis in Newly Diagnosed Diffuse Panbronchiolitis Patients on a Maintenance Therapy with Macrolides by Benyong Xu, Yanhua Mao, Xiaoyu Wan, Jianhui Chen, Meiping Ye, Mengling Zhan, Liyun Xu, Lan Zhao, Bing Li, Zhemin Zhang, Yang Liu, Haiqing Chu

“…Baseline data revealed more respiratory symptoms, lower body mass index (BMI), and forced expiratory volume in one second (FEV1) as well as increased isolates of Pseudomonas aeruginosa (P. aeruginosa) in DPB subjects with bronchiectasis than those without. …”
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The effect of sulthiame on potential biomarkers in moderate to severe obstructive sleep apnoea by Erik Hoff, Saliha Musovic, Ali M. Komai, Ding Zou, Christian Strassberger, Kaj Stenlöf, Ludger Grote, Jan Hedner

“…Patients with moderate to severe OSA, body mass index 20–35 kg·m−2, aged 18–75 years and not accepting positive airway pressure treatment were randomised to 4 weeks with placebo, STM 200 mg or STM 400 mg. …”
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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

“…The objective of this model is to maximize the utility of medical data and enhance treatment quality.ResultsThe refined intelligent feature selection approach identified several significant indicators of pregnancy-related hypertension, such as phosphor dehydrogenase deficiency, body mass index, gestational urinary proteins, vascular endothelial growth factor receptor 1, placental growth factor, thalassemia, and a familial history of diabetes mellitus or hypertension. …”
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Global burden of breast cancer and attributable risk factors in 204 countries and territories, from 1990 to 2021: results from the Global Burden of Disease Study 2021 by Rui Sha, Xiang-meng Kong, Xin-yu Li, Ya-bing Wang

“…Risk factors included high body-mass index, alcohol use, tobacco, and high fasting plasma glucose, with variations across SDI regions. …”
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Structured follow-up pathway to support people after transient ischaemic attack and minor stroke (SUPPORT TIA): protocol for a feasibility study and process evaluation by Grace M Turner, Melanie Calvert, Sue Jowett, Robbie Foy, Jonathan Mant, Sarah Tearne, Lou Atkins, Rachael Jones, Smitaa Patel, Phillip Collis

“…The clinic appointment will collect body mass index, blood pressure, cholesterol and medication. …”
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The association between sleep duration and myopia among Chinese school-age students: mediation effect of physical activity by Haiqing Feng, Yuexia Gao, Na An, Yitong Lu, Jianping Huang, Weiping Yang, Qingyun Lu

“…Sleep duration was found to be adversely correlated with myopia (sleep duration = 8–10 h/d: OR = 0.68, p < 0.01; sleep duration > 10 h/d: OR = 0.48, p < 0.01) after controlling for potential confounders like gender, age, and BMI-z score (Body Mass Index Score). Physical activity at a high intensity not moderate intensity was found to be protective factor against myopia. …”
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Low skeletal muscle mass as a proxy marker of sarcopenia is a risk factor for major complications in older patients undergoing curative colon resections for colon cancer by İsmail Tırnova, Maya Gasimova, Hatice Akay, Çağla Sarıtürk, Aslıhan Güven Mert, Özlem Yenidünya, Feza Yarbuğ Karakayalı

“…Low SMMI was defined as SMMI<41 cm2/m2 in women and < 43 cm2/m2 in men with body mass index (BMI) <25 kg/m2, and as SMMI <53 cm2/m2 in patients with a BMI >25 kg/m2. …”
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Global, regional, and national burdens of leukemia from 1990 to 2019: A systematic analysis of the global burden of disease in 2019 based on the APC model by Xiang Qu, Anjie Zheng, Jie Yang, Jinru Zhang, Hongmei Qiao, Fan Jiang, Jie Zhao, Chunping Wang, Peng Ning

“…In 1990 and 2019, smoking, high body‐mass index, occupational exposure to benzene, and occupational exposure to formaldehyde were risk factors for DALY in leukemia, especially in areas with high SDI. …”
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Interaction effect between overweight/obesity and alcohol consumption on hypertension risk in China: a longitudinal study by Xiaoqin Wang, Zhaozhao Hui, Jiaru Sun, Paul D Terry, Xiaohan Ren, Shuangyan Lei, Caihua Wang, Mingxu Wang

“…After adjusting for age, gender, education level, marital status, physical activity, diabetes and smoking, high body mass index (BMI) and light drinking (OR=5.07, 95% CI 3.06 to 8.41), high waist circumference (WC) and light drinking (OR=4.81, 95% CI 2.92 to 7.91), high waist hip ratio and light drinking (OR=2.85, 95% CI 1.84 to 4.42) were the highest risk of all participants in the three combinations. …”
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ASA Class Is a Stronger Predictor of Early Revision Risk Following Primary Total Knee Arthroplasty than BMI by Christopher J. Wall, MBBS, BMedSc, FRACS, FAOrthA, Richard N. de Steiger, MBBS, PhD, DipBiomech, FRACS, FAOrthA, Christopher J. Vertullo, MBBS, PhD, FRACS, FAOrthA, Dylan Harries, BSc(Hons), MBiostat, PhD, Srinivas Kondalsamy-Chennakesavan, MBBS, MPH, FRSPH

“…Although there is a known correlation between obesity and revision risk following total knee arthroplasty (TKA), there is an ongoing debate regarding the appropriateness of denying TKA solely based on the body mass index (BMI) of a patient. Our aim was to determine whether a patient’s American Society of Anesthesiologists (ASA) class predicts their risks of early all-cause revision and revision for periprosthetic joint infection (PJI) following primary TKA, independent of their BMI. …”
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Association between Circulating B-Type Natriuretic Peptide and Diabetic Peripheral Neuropathy: A Cross-Sectional Study of a Chinese Type 2 Diabetic Population by Pijun Yan, Qin Wan, Zhihong Zhang, Yong Xu, Ying Miao, Pan Chen, Chenlin Gao

“…Circulating levels of BNP were significantly and positively associated with systolic blood pressure (P=0.035), neutrophil-to-lymphocyte ratio (P=0.007), creatinine (P=0.030), vibration perception threshold values (P=0.021), and the prevalence of diabetic foot ulceration (P=0.039), peripheral arterial disease (P=0.013), DPN (P=0.032), and diabetic nephropathy (P=0.020) and negatively with lymphocyte count (P=0.003) and ankle-brachial index (P=0.038), irrespective of age, sex, and body mass index. Moreover, circulating levels of BNP was an independent decisive factor for the presence of DPN after multivariate adjustment (odds ratio, 1.044; 95% confidence interval, 1.006-1.084; P=0.024). …”
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Risk Factors for the Occurrence of Rebound Pain After Intercostal Nerves Block in Three-Port Thoracoscopic Surgery: A Case-Control Study by Wan C, Kong M, Shen Q, Lu W, Shen X

“…The results showed that the differences in body mass index (BMI), upper and lower chest diameters, anterior and posterior chest diameters, left and right chest diameters, and gender between patients with RP and those without RP were statistically significant (p < 0.05). …”
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Relative Fat Mass and Physical Indices as Predictors of Gallstone Formation: Insights From Machine Learning and Logistic Regression by Deng L, Wang S, Wan D, Zhang Q, Shen W, Liu X, Zhang Y

“…SHAP analysis identified RFM, weight-to-waist index (WWI), waist circumference (WC), waist-to-height ratio (WHtR), and body mass index (BMI) as prominent predictors of gallstone occurrence, with RFM emerging as the primary determinant. …”
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Contemporary Results of Transcatheter Aortic Valve Replacement in Obese Patients by T. Owais, M. El Garhy, P. Lauten, M. Haensig, H. Lapp, P. C. Schulze, T. Kuntze

“…We investigated the influence of body mass index (BMI) on 1-year outcomes after TF-TAVR. …”
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Prevalence and predictors of short stature in children aged 3–18 years in Hainan Province, China: a cross-sectional study by Mi Yan, Mi Yan, Yingying Qin, Yingying Qin, Hongai Li, Chuican Huang, Haidan Li, Li Liu, Yuhua Cai, Lichun Fan, Wei Xiang, Xiaoyan Huang, Xiaoyan Huang

“…Children's short stature was significantly related to seven factors: area, birth weight, body mass index z score (BAZ), maternal education, family income (RMB per year), frequency of bean intake and frequency of egg intake. …”
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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

“…The dataset was plausible in range and correctly calculated body mass index for all case files based on respective heights and weights. …”
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Impact of noninsulin-dependent diabetes mellitus (level of control) on sex hormone profile and erectile function by Abdullah A. Khawaji, Hossam S. El-Tholoth, Muath A. Albarakati, Bander A. Binjabaan, Abdulaziz Alzahrani, Abdulmajeed Althobity, Abdulmalik Almardawi, Khaled Bedaiwi, Mussa AlNuami

“…Retrieved data include patient’s demographics, body mass index (BMI), hormonal profile, Complete Blood Count (CBC), lipid profile, prostate-specific antigen (PSA), urate, Vitamin D level, and the severity of ED as assessed by the International Index of Erectile Function (IIEF) scores. …”
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Pilates exercise in pregnancy: a systematic review and meta-analysis by Yuxuan Li, Heran Lu, Liuwei Zhang, Yijia Ren, Xiaotong Dai, Lin Lin

“…Among these, 3 studies exhibited a low risk of bias, while 8 studies presented an unclear risk of bias. (2) The meta-analysis results indicated that Pilates exercise resulted in non-significant changes in the Body Mass Index (BMI) of pregnant women (SMD 0.02; 95% CI, -0.27 to 0.31; P = 0.887), the body weight of pregnant women (SMD 0.25; 95% CI, -0.52 to 1.02; P = 0.519), the mode of delivery (RR 1.41; 95% CI, 0.95 to 2.09; P = 0.093), and the Low-density lipoprotein (LDL) levels of pregnant women (SMD − 1.182; 95% CI, -2.443 to 0.079; P = 0.066). …”
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Establishing of a risk prediction model for metabolic dysfunction-associated steatotic liver disease: a retrospective cohort study by Nan Li, Chenbing Liu, Zhangfan Lu, Wenjian Wu, Feng Zhang, Lihong Qiu, Chao Shen, Di Sheng, Zhong Liu

“…Results Our study indicated that male, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG), serum uric acid to creatinine ratio (SUA/Cr) and white blood cell (WBC) were associated with MASLD incidence. …”
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