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  1. 1821

    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

    Published 2018-01-01
    “…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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  2. 1822

    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

    Published 2025-01-01
    “…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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  3. 1823

    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

    Published 2025-02-01
    “…In receiver operating characteristic analysis, GNRI outperforms serum albumin or body mass index (BMI) alone in predicting OAB risk. The study revealed that inflammatory response mediates the relationship between GNRI and OAB, while cognitive function has a relatively weaker influence on the strength of the association between GNRI and OAB.ConclusionGNRI serves as a reliable predictive marker for OAB in the elderly population, demonstrating a nonlinear inverse correlation with OAB prevalence. …”
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  4. 1824

    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

    Published 2020-09-01
    “…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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  5. 1825

    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

    Published 2025-01-01
    “…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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  6. 1826
  7. 1827
  8. 1828

    Plasma circulating cell–free DNA integrity and relative telomere length as diagnostic biomarkers for Parkinson’s disease and multiple system atrophy: a cross-sectional study by Chao Ying, Chao Han, Yuan Li, Mingkai Zhang, Shuying Xiao, Lifang Zhao, Hui Zhang, Qian Yu, Jing An, Wei Mao, Yanning Cai

    Published 2025-12-01
    “…The diagnostic potential of the cell-free DNA parameters was evaluated using receiver operating characteristic (ROC) analysis, and their association with disease prevalence was examined through logistic regression models, adjusting for confounders such as age, sex, body mass index, and education level. The results showed that cell-free DNA integrity was significantly elevated in both Parkinson’s disease and multiple system atrophy patients compared with normal controls (P < 0.001 for both groups), whereas cell-free DNA relative telomere length was markedly shorter (P = 0.003 for Parkinson’s disease and P = 0.010 for multiple system atrophy). …”
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  9. 1829

    High Serum Asprosin Levels Are Associated with Presence of Metabolic Syndrome by Tao Hong, Jiao-Yang Li, Ya-Di Wang, Xiao-Yan Qi, Zhe-Zhen Liao, Poonam Bhadel, Li Ran, Jing Yang, Bin Yan, Jiang-Hua Liu, Xin-Hua Xiao

    Published 2021-01-01
    “…In all studied subjects, serum asprosin levels were positively correlated with body mass index, waist circumference, triglycerides, fasting plasma glucose, 2-hour plasma glucose, fasting insulin, homeostatic model assessment of insulin resistance (HOMA-IR) index, interleukin-6, and monocyte chemoattractant protein-1 and negatively correlated with high-density lipoprotein cholesterol (P<0.05). …”
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  10. 1830

    Association between Comorbidities and Progression of Transvalvular Pressure Gradients in Patients with Moderate and Severe Aortic Valve Stenosis by Tim Salinger, Kai Hu, Dan Liu, Scharoch Taleh, Sebastian Herrmann, Daniel Oder, Daniel Gensler, Jonas Müntze, Georg Ertl, Kristina Lorenz, Stefan Frantz, Frank Weidemann, Peter Nordbeck

    Published 2018-01-01
    “…Laboratory parameters, medication, and prevalence of eight known cardiac comorbidities and risk factors (hypertension, diabetes, coronary heart disease, peripheral artery occlusive disease, cerebrovascular disease, renal dysfunction, body mass index ≥30 Kg/m2, and history of smoking) were analyzed. …”
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  11. 1831

    Lifestyle risk factors for overweight and obesity among rural Indian adults: a community-based prospective cohort study by Rajesh Kumar Rai, Sabri Bromage, Jan-Walter De Neve, Anamitra Barik

    Published 2025-01-01
    “…India’s nutrition transition has led to an increased burden of overweight/obesity (body mass index of ≥23 kg/m2), driven by lifestyle factors like poor diet, inactivity, and substance use, prompting public health interventions. …”
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  12. 1832

    Interaction of genetics risk score and fatty acids quality indices on healthy and unhealthy obesity phenotype by Niloufar Rasaei, Seyedeh Fatemeh Fatemi, Fatemeh Gholami, Mahsa Samadi, Mohammad Keshavarz Mohammadian, Elnaz Daneshzad, Khadijeh Mirzaei

    Published 2025-01-01
    “…Results We found significant interactions between GRS and N6/N3 in the adjusted model controlling for confounding factors (age, body mass index, energy, and physical activity) (β = 2.26, 95% CI: 0.008 to 4.52, P = 0.049). …”
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  13. 1833

    Perceived barriers to physical activity and their predictors among adults in the Central Region in Saudi Arabia: Gender differences and cultural aspects. by Osama Abdelhay, Mohammad Altamimi, Qusai Abdelhay, Marwan Manajrah, Ayla M Tourkmani, Mutaz Altamimi, Taghreed Altamimi

    Published 2025-01-01
    “…Additionally, older age, higher body mass index, higher education level, marriage, certain employment statuses, and chronic diseases were significantly associated with increased reported internal and external barriers. …”
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  14. 1834

    Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes by Yibin Cai, Jianming Ding, XiaoJun Cai, Weikun Su, Guibin Weng, Xinlong Zheng, Shijie Chen, Lin Chen, YiJin Lin, Qiwei Yao, Chunkang Yang

    Published 2025-01-01
    “…Multivariate logistic analyses demonstrated that chemotherapy cycles, tumor length, body mass index (BMI), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) were independent recurrence risk factors (p < 0.05). …”
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  15. 1835
  16. 1836

    Risk Factors Associated with Cardiac Autonomic Modulation in Obese Individuals by Camila Oliveira, Erika Aparecida Silveira, Lorena Rosa, Annelisa Santos, Ana Paula Rodrigues, Carolina Mendonça, Lucas Silva, Paulo Gentil, Ana Cristina Rebelo

    Published 2020-01-01
    “…Anthropometric data, biochemical exams, heart rate variability (HRV), accelerometry, and 24 h recall (R24H) of obese patients (body mass index BMI ≥35 kg/m2) were collected. Results. 64 obese patients were analyzed, with a mean age of 39.10 ± 7.74 years (27 to 58 years). …”
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  17. 1837

    Association between serum testosterone changes and parameters of the metabolic syndrome by Sohei Kuribayashi, Shinichiro Fukuhara, Hiroaki Kitakaze, Go Tsujimura, Takahiro Imanaka, Norichika Ueda, Kentaro Takezawa, Hiroshi Kiuchi, Ayaka Tachi, Jiro Sakamoto, Toyofumi Abe, Go Tanigawa, Yasushi Miyagawa, Takashi Fujimoto, Norio Nonomura

    Published 2024-12-01
    “…Decreased TT tended to increase body weight, body mass index, waist circumference, and visceral fat (p for trend 0.0136, 0.0272, 0.0354, and 0.0032, respectively), and decrease adiponectin level (p for trend 0.0219). …”
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  18. 1838

    Novel anthropometric indices are superior adiposity indexes to portend visual impairment in middle-aged and older Chinese population by Qing Chen, Yanan Hou, Yifan Zhou, Jianfeng Luo, KaiweiSa Abuduxukuer, Chuchu Wang, Jialong Dong, Yiting Wang, Wenming Shi, Fei Shi, Qing Peng

    Published 2024-05-01
    “…We enrolled six adiposity indices, including the body mass index (BMI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI), a body shape index (ABSI), body roundness index (BRI) and conicity index (ConI). …”
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  19. 1839

    The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis by Marga Decraene, Kar Hau Chong, Ty Stanford, Dorothea Dumuid, Penny Cross, Greet Cardon, Vera Verbestel, Marieke De Craemer, Anthony Okely

    Published 2025-01-01
    “…Their weight and height were measured using standardized protocols and converted to Body Mass Index (BMI) z-scores using the World Health Organisation growth references. …”
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  20. 1840

    Clinical Features and Contributing Factors of Excessive Daytime Sleepiness in Chinese Obstructive Sleep Apnea Patients: The Role of Comorbid Symptoms and Polysomnographic Variables by Chuan Shao, Huan Qi, Ruyi Lang, Biyun Yu, Yaodong Tang, Lina Zhang, Xun Wang, Ling Wang

    Published 2019-01-01
    “…The age of patients with severe EDS (49.5 ± 11.3) was slightly greater than that of patients with mild to moderate EDS (44.5 ± 10.2) (p<0.05) and non-EDS patients (45.2 ± 12.0) (p<0.05). Body mass index (BMI) was highest in the severe EDS group (29.1 ± 3.6 kg/m2) (p<0.0001), intermediate in the mild to moderate EDS group (27.9 ± 3.3 kg/m2), and lower in the non-EDS group (26.8 ± 3.3 kg/m2). …”
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