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  1. 1701

    Perceived risk for screen-detectable cancers among american indian adults in the zuni pueblo, USA: Insights and implications for intervention programs by Deborah Kanda, Kate Cartwright, V. Shane Pankratz, Judith Sheche, Mikaela Kosich, Nicholas Edwardson, Samantha Leekity, Shiraz I. Mishra

    Published 2025-01-01
    “…From bivariate analysis, factors associated with high perceived cancer risk included: positive family cancer history (odds ratio [OR] = 1.95; 95 % confidence interval [CI]: 1.23–3.11), higher knowledge of cancer risk factors (OR = 1.45; CI: 1.09–1.93), higher education (OR = 1.46; CI: 1.16–1.84), and higher body mass index (OR = 1.44; CI: 1.07–1.94). In multivariable analysis, family cancer history (OR = 1.81; CI: 1.10–2.99), knowledge of risk factors (OR = 1.38; CI: 1.03–1.86), and education (OR = 1.81; CI: 1.10–2.96) remained statistically significant. …”
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  2. 1702

    Associations between caregivers’ health behaviours and overweight/obesity among children aged 2–6 years in Beijing, China: a cross-sectional study by Yan Hu, Juan Du, Wenjing Ji, Xueling Li, Aimin Liang, Xiwei Xu

    Published 2025-02-01
    “…Objective To investigate the correlation between caregivers’ health-related behaviours and the prevalence of overweight/obesity among children aged 2–6 years in Beijing city in China.Design Cross-sectional study.Setting Two kindergartens and two community health service centres in Beijing city, China.Participants A total of 1967 children aged 2–6 years were included.Primary and secondary outcome measures Children’s height and weight were measured and body mass index was computed. The caregivers’ exercise health behaviours and dietary health behaviours were assessed using a questionnaire, encompassing the frequency of exercise and the duration of each exercise session, as well as the frequency of consumption of desserts, late-night snacks, and fast food, regular eating habits, and the proportion of meat and vegetables consumed daily. …”
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  3. 1703

    Noninvasive Assessment of Liver Fibrosis by Magnetic Resonance Elastography in Patients with Rheumatic Disease on Long-Term Methotrexate Treatment by Arindam Nandy Roy, Anjani Kumar Darapureddy, Yarram Ashok Kumar

    Published 2023-01-01
    “…The mean age and body mass index of the patients were 53.56 ± 8.36 years and 28.08 ± 4.43, respectively. …”
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  4. 1704

    Effects of exercise dose based on the ACSM recommendations on depression in hemodialysis patients: a systematic review and meta-analysis of randomized controlled trials by Yang Fang, Yang Fang, Bai Xiaoling, Li Huan, Li Huan, Guan Yaping, Zhang Binying, Wang Man, Wu Juan, Liu Xinyu

    Published 2025-01-01
    “…The mean age of the patients ranged from 33.2 to 70 years, and the average body mass index (BMI) fluctuated between 23.3 and 28.81 kg/m2. …”
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  5. 1705

    Prevalence and clinical correlates of chronic obstructive pulmonary disease in heart failure patients: a cross-sectional study in China by Ailing Zhu, Manman Hu, Dehai Ge, Xiujian Zhang, Jinfeng Zhang, Yangchun Wang, Xin Yao, Junjun Liu

    Published 2025-02-01
    “…The COPD subgroup featured a higher ratio of individuals over 60 and males, alongside lower systolic blood pressure (SBP), body mass index (BMI), higher Charlson Comorbidity Index (CCI) scores, and increased PaCO₂ levels (p < 0.05). …”
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  6. 1706

    Obesity in pregnancy: infant health service utilisation and costs on the NHS by Ronan A Lyons, Ashrafunnesa Khanom, Sinead T Brophy, Kelly L Morgan, Muhammad A Rahman, Rebecca A Hill

    Published 2015-11-01
    “…Infants were categorised according to maternal early-pregnancy body mass index (BMI): healthy weight mother (18.5≤BMI<25 kg/m2; n=342), overweight mother (25≤BMI≤29.9 kg/m2; n=157) and obese mother (BMI≥30; n=110).Participants 609 singleton pregnancies with available health service records and an antenatal maternal BMI.Primary outcome measure Total health service utilisation and direct healthcare costs for providing these services in the year 2012–2013. …”
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  7. 1707

    Correlates of Calcaneal Quantitative Ultrasound Parameters in Patients with Diabetes: The Study on the Assessment of Determinants of Muscle and Bone Strength Abnormalities in Diabe... by Francesco Conti, Stefano Balducci, Luca Pugliese, Valeria D’Errico, Martina Vitale, Elena Alessi, Gerardo Salerno, Carla Iacobini, Stefano Menini, Lucilla Bollanti, Antonio Nicolucci, Giuseppe Pugliese

    Published 2017-01-01
    “…Among surrogate measures of complications, sensory and motor nerve amplitude and heart rate response to cough test and standing correlated with QUS parameters at univariate analysis, together with age, body mass index (BMI), waist circumference, lipid profile, and renal function. …”
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  8. 1708

    Elevated Platelet‐to‐Lymphocyte Ratio as a Predictor of All‐Cause and Cardiovascular Mortality in Hypertensive Individuals by Rui Xu, Ling Chen, Changshun Yan, Hong Xu, Guiqiu Cao

    Published 2025-01-01
    “…Cox proportional hazards regression models assessed the independent association of PLR with mortality risk, with adjustments incrementally applied: Model 1 without adjustments; Model 2 adjusted for age and sex; Model 3 adjusted further for age, gender, race, marital status, diabetes, alcohol intake, smoking status, body mass index (BMI), history of cardiovascular disease (CVD), high‐density lipoprotein cholesterol (HDL), low‐density lipoprotein cholesterol (LDL), total cholesterol (TC), triglyceride (TG), and creatinine (CR). …”
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  9. 1709

    Value of C-Reactive Protein in Predicting Left Ventricular Remodelling in Patients with a First ST-Segment Elevation Myocardial Infarction by Iwona Swiatkiewicz, Marek Kozinski, Przemyslaw Magielski, Tomasz Fabiszak, Adam Sukiennik, Eliano Pio Navarese, Grazyna Odrowaz-Sypniewska, Jacek Kubica

    Published 2012-01-01
    “…Multivariate analysis identified CRP concentration at 24 h (OR for a 10 mg/L increase 1.29, 95% CI 1.04–1.60), B-type natriuretic peptide at discharge (OR for a 100 pg/mL increase 1.21, 95% CI 1.05–1.39), body mass index (OR for a 1 kg/m2 increase 1.10, 95% CI 1.01–1.21), and left ventricular end-diastolic volume (OR for a 1 mL increase 0.98, 95% CI 0.96-0.99) as independent predictors of LVR. …”
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  10. 1710

    Perioperative gum-chewing training prevents a decrease in tongue pressure after esophagectomy in thoracic esophageal cancer patients: a nonrandomized trial by Reiko Yamanaka-Kohno, Yasuhiro Shirakawa, Aya Yokoi, Naoaki Maeda, Shunsuke Tanabe, Kazuhiro Noma, Kazuyoshi Shimizu, Toshiharu Mituhashi, Yoshihide Nakamura, Souto Nanba, Yurika Uchida, Takayuki Maruyama, Manabu Morita, Daisuke Ekuni

    Published 2024-10-01
    “…Propensity score matching was performed with covariates related to TP including preoperative age, sex, body mass index, and the repetitive saliva swallowing test result, and yielded a matched cohort of 25 case pairs. …”
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  11. 1711

    Healthy Eating Index-2015 and Dietary Total Antioxidant Capacity as Predictors of Prediabetes: A Case-Control Study by Jamal Rahmani, Karim Parastouei, Maryam Taghdir, Heitor O. Santos, Farinaz Hosseini Balam, Mohsen Saberi Isfeedvajani

    Published 2021-01-01
    “…Results. Mean age and body mass index of participants were 47.42 ± 15.98 years and 27.90 ± 4.96 kg/m2. …”
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  12. 1712

    Signs of Central Hypersensitivity, Stress, and Anxiety following Treatment for Breast Cancer: A Case Control Study by Ivana Leao Ribeiro, Ximena Gálvez González, Diego Lara Torres, Luz Alejandra Lorca, Snehil Dixit, Nicolás Yáñez Benavides, Francisco Ortega Gonzalez

    Published 2021-01-01
    “…Methods. 40 women participated (n=20, PO group, age: average±standard deviation, 49.2±8.3 years; body mass index (BMI): 27.5±3.0 kg/cm2; surgery time: 22.2±34.4 months; n=20, control group, 46.9±8.1 years; BMI: 26.8±3.5 kg/cm2). …”
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  13. 1713

    Association between normal weight obesity and comorbidities and events of cardiovascular diseases among adults in South China. by Miaomiao Ma, Deliang Lv, Xiaobing Wu, Yuqing Chen, Shimiao Dai, Yutian Luo, Hui Yang, Wei Xie, Fengzhu Xie, Qinggang Shang, Ziyang Zhang, Zhiguang Zhao, Ji-Chang Zhou

    Published 2025-01-01
    “…NWO was defined as a condition with the highest tertile of body fat percentage (BF%) among the normal body mass index (BMI) range (18.5-23.9 kg/m2). Continuous data were reported as mean [standard deviation (SD)] and categorical data as percentages (%). …”
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  14. 1714

    Heterogeneity of Treatment Effects of Laser Epilation on Pilonidal Disease Recurrence: A Randomized Clinical Trial by Katherine C. Bergus, MD, MPH, Carley Lutz, BS, Jennifer Cooper, PhD, Lindsey Asti, PhD, MPH, Lindsay Gil, MD, MPH, Cory Criss, MD, Katherine J. Deans, MD, MHSc, Peter C. Minneci, MD, MHSc

    Published 2024-09-01
    “…There were no significant differences in treatment effects based on sex, body mass index, previous disease, prior surgical excision, or annual household income (all P > 0.05). …”
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  15. 1715

    Iron deficiency anaemia and its associated risk factors among lactating mothers in Ghana by Mensah K, Abbam G, Gadzeto FF, Marfo L, Daud S, Kuntah S, Bani SB, Dzamesi HK, Apodola FA, Badu A, Chukwurah FE

    Published 2024-10-01
    “…Full blood count analysis, serum ferritin, malaria and other measurements such as Body Mass Index (BMI) and diet assessment were done for all the participants. …”
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  16. 1716

    Changes in blood glucose and lipid metabolism levels in children with central precocious puberty and its correlation with obesity by Xin Cui, Xin Cui, Xin Sun, Qiubo Li, Zongbo Chen

    Published 2025-01-01
    “…General data [gender, age, bone age, and body mass index (BMI)] were collected. Levels of blood glucose metabolism indicators [fasting plasma glucose (FPG), 2-h postprandial blood glucose (2hPG), and hemoglobin A1c (HbA1c)] and blood lipid metabolism indicators [triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] were compared. …”
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  17. 1717

    Socio-Demographic and Lifestyle Factors Influencing Adherence to AntiHypertensive Treatment in a Rural Area of Ludhiana, India by Sangeeta Girdhar, ,Mahesh Satija, Daljit Kaur, .Anurag Chaudhary

    Published 2025-02-01
    “…Weight and Height of the patients were measured and Body mass index (BMI) was calculated by using formula (weight/height2 ). …”
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  18. 1718

    Association of Circulating Neprilysin with BMI, Cardiovascular Health, and Kidney Function in High-Risk Pregnancies: A Pilot Study by Kaltrina Kutllovci Hasani, Azra Kulovic-Sissawo, Adam Saloň, Christina Stern, Karoline Mayer-Pickel, Mila Cervar-Zivkovic, Nandu Goswami, Herbert Fluhr, Ursula Hiden

    Published 2024-12-01
    “…Methods: Observed parameters were analyzed in 29 high-risk pregnant women across early, mid-, and late pregnancy. sNEP levels were analyzed alongside body mass index (BMI), endothelial dysfunction (ADMA), arterial stiffness (pulse wave velocity, PWV), retinal microvasculature (central retinal arteriolar and venular equivalents, CRAE and CRVE), and kidney function markers. …”
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  19. 1719

    Association of occupational dust exposure with combined chronic obstructive pulmonary disease and pneumoconiosis: a cross-sectional study in China by Yali Fan, Qiao Ye, Wenjing Xu, Yuanying Wang, Yiran Wang, Shiwen Yu

    Published 2020-09-01
    “…Patients with combined diseases had lower body mass index, higher smoking index and worse pulmonary function. …”
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  20. 1720

    Abdominal fat distribution and its relationship to brain changes: the differential effects of age on cerebellar structure and function: a cross-sectional, exploratory study by Yvonne Böttcher, Michael Stumvoll, Kees Straatman, Matthias Raschpichler, Matthias Leopold Schroeter, Katrin Arelin, Haiko Schlögl, Dominik Fritzsch, Meinhard Mende, André Pampel, Arno Villringer, Karsten Mueller

    Published 2013-01-01
    “…Objectives To investigate whether the metabolically important visceral adipose tissue (VAT) relates differently to structural and functional brain changes in comparison with body weight measured as body mass index (BMI). Moreover, we aimed to investigate whether these effects change with age.Design Cross-sectional, exploratory.Setting University Clinic, Integrative Research and Treatment Centre.Participants We included 100 (mean BMI=26.0 kg/m², 42 women) out of 202 volunteers randomly invited by the city's registration office, subdivided into two age groups: young-to-mid-age (n=51, 20–45 years of age, mean BMI=24.9, 24 women) versus old (n=49, 65–70 years of age, mean BMI=27.0, 18 women).Main outcome measures VAT, BMI, subcutaneous abdominal adipose tissue, brain structure (grey matter density), functional brain architecture (eigenvector centrality, EC).Results We discovered a loss of cerebellar structure with increasing VAT in the younger participants, most significantly in regions involved in motor processing. …”
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