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  1. 421
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  3. 423

    Hubungan Indeks Masa Tubuh dan Lingkar Perut dengan Low Density Lipoprotein pada Pasien Penyakit Jantung Koroner di Poliklinik Jantung RSUP Dr. M. Djamil Padang by Medika Prasetya, Fadil Oenzil, Yerizal Karani

    Published 2015-09-01
    “…<br />Kata kunci: IMT, LP, penyakit jantung koroner</p><p> </p><p>Abstract <br />Weight gain by Body Mass Index (BMI) over 30 kg/m2 both in men and women will increase 4-fold risk of Coronary Heart Disease (CHD). …”
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  4. 424

    Analysis of a Cementless Femoral Stem Neck Fracture Using Scanning Electron Microscopy and the Finite Element Method by Hirokazu Takai, Daisuke Nakayama, Masatoshi Murayama, Tomoki Takahashi

    Published 2019-01-01
    “…In this patient, multiple risk factors, including thin stem (the smallest size, NAR #1), use of the long neck (+3 mm), obesity (body mass index: 27.3), and adjacent osteoarthritis (contralateral THA loosening and knee osteoarthritis), were present. …”
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  5. 425

    Estimation of the Centre of Mass From Motion Capture and Force Plate Recordings: A Study on the Elderly by S. Cotton, M. Vanoncini, P. Fraisse, N. Ramdani, E. Demircan, A. P. Murray, T. Keller

    Published 2011-01-01
    “…This method can potentially introduce errors in studies involving elderly people, since the ageing process is typically associated with a modification of the distribution of the body mass. In this paper, an alternative technique is proposed, and evaluated with an experimental study on 9 elderly volunteers. …”
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  6. 426

    Reverse epidemiology of obesity paradox: Fact or fiction? by Bellamkonda K. Kishore

    Published 2024-11-01
    “…This review: (a) defines the obesity paradox, and its proposed role in overall mortality in NCDs; (b) delineates evidence for and against obesity paradox; (c) presents the importance of using different indices of body mass to assess the risk in NCDs; (d) examines the role of metabolically healthy obesity in obesity paradox, and emerging importance of cardio‐respiratory fitness (CRF) as an independent predictor of CVD risk and all‐cause mortality in patients with/without obesity. …”
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  7. 427

    Quantitative valve motion assessment in adolescents using point-of-care ultrasound: short communication by Antonio Riera, Lei Chen, Donald S. Wright, Julie I. Leviter

    Published 2025-01-01
    “…Correlations with age, height, weight, body mass index, and heart rate were examined. Twenty subjects were enrolled. …”
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  8. 428

    The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time by John Spencer Ingels, Ranjita Misra, Jonathan Stewart, Brandon Lucke-Wold, Samantha Shawley-Brzoska

    Published 2017-01-01
    “…After controlling for initial body mass index, hemoglobin A1c, and gender, only consistent trackers had significant weight loss (−9.99 pounds), following a linear relationship with consistent loss throughout the year. …”
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  9. 429

    Anthropometric Evaluation of pupils from APAE Araras-SP having Down Syndrome by Carolina Barbosa Ribeiro, Mércia Tancredo Toledo

    Published 2014-07-01
    “…The results obtained in this study showed that the lecture series intensified weight loss and reduction in the body mass index of students.…”
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  10. 430

    Acanthosis Nigricans: A Rare Presentation in a Patient with Hypothyroidism and Metabolic Syndrome by Rucha Sawant, Pranav Chaudhari, Sourya Acharya, Roma Chavhan

    Published 2025-02-01
    “…Upon general examination, his Body Mass Index (BMI) was 33.2 kg/m2, and his waist circumference was 142 cm. …”
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  11. 431

    Measuring Body Composition in Individuals with Intellectual Disability: A Scoping Review by Amanda Faith Casey

    Published 2013-01-01
    “…Searches identified six articles assessing body composition methods used on individuals with ID including body mass index (BMI), skinfold thickness, bioelectrical impedance analysis (BIA), waist circumference, tibia length, and anthropometric girth measurements. …”
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  12. 432

    Anthropometrics, Metabolic Syndrome, and Mortality Hazard by Nir Y. Krakauer, Jesse C. Krakauer

    Published 2018-01-01
    “…Independent indices (height, body mass index, a body shape index, and hip index) derived from basic anthropometrics have been found to be powerful predictors of mortality hazard, especially when the attributable risks are summed over these indices to give an anthropometric risk index (ARI). …”
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  13. 433

    Gender Differences Relating to Metabolic Syndrome and Proinflammation in Finnish Subjects with Elevated Blood Pressure by Tiina Ahonen, Juha Saltevo, Markku Laakso, Hannu Kautiainen, Esko Kumpusalo, Mauno Vanhala

    Published 2009-01-01
    “…After adjustment with body mass index the association between insulin and the odd's ratio (OR) for MetS remained significant in both genders, in females also the association between the OR for MetS and adiponectin. …”
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  14. 434

    Acute effects of different types of stretching exercises on explosive power: A pilot study by Sinan Seyhan, Emirkan Çelik

    Published 2024-09-01
    “…A total of 12 elite taekwondo athletes (7 boys and 5 girls) with an average age of 20.75±1.48 years, an average height of 171±10.06 cm, an average body weight of 61.8±11 kg, and an average Body Mass Index (BMI) of 21.1±2.5 kg/m2 participated in this study. …”
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  15. 435

    The prevalence of nutritional status and obesity in adolescents in Babylon Province, Iraq by Nihad Abdallah Selman, Ashraf M. A. Hussain, Nassar Abdalaema Abdalhadi Mera

    Published 2024-01-01
    “…Study period was between February and June 2022; weight and height were measured to each participant to calculate body mass index (BMI) and they were requested to fill a questionnaire to identify any risk factor relation-ship. …”
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  16. 436

    Myokines as Possible Therapeutic Targets in Cancer Cachexia by Emilia Manole, Laura C. Ceafalan, Bogdan O. Popescu, Carmen Dumitru, Alexandra E. Bastian

    Published 2018-01-01
    “…Cachexia is an extremely serious syndrome which occurs in most patients with different cancers, and it is characterized by systemic inflammation, a negative protein and energy balance, and involuntary loss of body mass. This syndrome has a dramatic impact on the patient’s quality of life, and it is also associated with a low response to chemotherapy leading to a decrease in survival. …”
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  17. 437

    Predictors of postoperative hospital length of stay after total knee arthroplasty by Davide Tornese, Alessandro Robustelli, Gabriele Ricci, Paola Maria Vittoria Rancoita, Nicola Maffulli, Giuseppe Michele Peretti

    Published 2024-02-01
    “…There was no evidence of a statistically significant positive association between body mass index and LOS. Conclusion: An in-depth and early knowledge of factors that influence LOS may enable the multidisciplinary team to plan a patient-tailored rehabilitation path and better allocate resources to maximise patients’ functional recovery, while reducing LOS and the overall cost of the procedure.…”
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  18. 438

    Overweight and Obesity Epidemic in Developing Countries: A Problem with Diet, Physical Activity, or Socioeconomic Status? by Trishnee Bhurosy, Rajesh Jeewon

    Published 2014-01-01
    “…This paper aims to compare the mean body mass index trends in the World Health Organisation- (WHO-) categorised regions since 1980 to 2008 and secondly to appraise how socioeconomic disparities can lead to differences in obesity and physical activity level across developing nations. …”
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  19. 439

    BMI, HOMA-IR, and Fasting Blood Glucose Are Significant Predictors of Peripheral Nerve Dysfunction in Adult Overweight and Obese Nondiabetic Nepalese Individuals: A Study from Cent... by Lekhjung Thapa, P. V. S. Rana

    Published 2016-01-01
    “…Homeostatic model assessment of insulin resistance (HOMA-IR) was the significant predictor (P=0.019, 96% CI = 1.420–49.322) of sensory nerve dysfunction. Body mass index (BMI) was the significant predictor (P=0.034, 95% CI = 1.018–1.577) in case of ≥2 mixed nerves’ involvement. …”
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  20. 440

    Prevalence of metabolic syndrome in workers of Medical Science college in Cienfuegos city. by Mikhail Benet Rodríguez, René Mick Cabrera Núñez, Patricio Castillo Sardiñas, Yudeny Poll Cañizares, Yadira Suaréz

    Published 2005-08-01
    “…The following variables were studied: sex, age, fasting glycaemia, HDL cholesterol, tryglicerids , arterial pressure, abdominal , and body mass index. Also, from these variables it was delimited the prevalence of metabolic syndrome. …”
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