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Relevant bibliographies by topics / Diabetes mellitus and Body mass index

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Academic literature on the topic 'Diabetes mellitus and Body mass index'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Diabetes mellitus and Body mass index"

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Haque, Monoarul. "Body Mass Index and Complications of Diabetes Mellitus." Journal of Clinical and Laboratory Research 6, no. 1 (2023): 01–03. https://doi.org/10.31579/2768-0487/099.

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Diabetes mellitus is a global public health issue which has multiple complications. In developing countries obesity associated diseases – like diabetes increasing day by day among the urban people. This study was an attempt to assess body mass index and complications of diabetes mellitus among urban people. To observe the association between BMI and complications of diabetes Chi-square test was done. It was observed that complications of diabetes were significantly higher among obese diabetic patients (p less than 0.05) than that of non-obese diabetic patients. The effect of BMI on complicatio

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Ali, Cem Yekdeş*. "THE RELATIONSHIP BETWEEN WAIST CIRCUMFERENCE, BODY MASS INDEX AND CORONARY ARTERY DISEASE IN PATIENTS WITH METABOLIC SYNDROME." Indian Journal of Medical Research and Pharmaceutical Sciences 4, no. 6 (2017): 1–9. https://doi.org/10.5281/zenodo.804168.

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<strong>Objective:</strong> Nowadays, with increasing incidence, metabolic syndrome has become an important health problem, because of high morbidity and mortality related to a strong relationship with coronary artery disease. Body mass index and waist circumference are anthropometric measurements that are being used to define obesity; a component of the metabolic syndrome. In this study, we aimed to investigate the relationship between body mass index, waist circumference and coronary artery disease and also diabetes mellitus and dyslipidemia which are accepted as major coronary artery diseas

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Widyatmoko, Agus, and Wahyu Iqbal Tawakal Santyasna. "The Relationship of Obesity to Diabetic Foot Ulcer in Type 2 Diabetes Mellitus Patients." Berkala Kedokteran 18, no. 2 (2022): 129. http://dx.doi.org/10.20527/jbk.v18i2.14477.

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Diabetes mellitus is a group of metabolic diseases, the common finding of which is elevated blood glucose levels, known as hyperglycemia. Severe hyperglycemia causes classic symptoms such as polyuria, polydipsia, and polyphagia and unexplained weight loss. This study used an observational descriptive analytic method with a cross sectional design to 42 respondents of type 2 Diabetes mellitus patients at PKU Muhammadiyah Gamping Hospital. The blood sugar levels, HbA1C, height, weight and incidence of diabetic foot ulcers were recorded. Data analysis used the Chi-Square test to see the relationsh

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Sodikovna, Abdurazakova Dilbar, Yusupova Shahnoza Kadirjanovna, SaidjonovaFeruza Latifjonovna, and Jabbarov Ibrohimjon Adhamjon O’gli. "PREVENTION OF TYPE 2 DIABETES MELLITUS." American Journal Of Biomedical Science & Pharmaceutical Innovation 4, no. 3 (2024): 44–51. http://dx.doi.org/10.37547/ajbspi/volume04issue03-06.

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Prevention of type 2 diabetes mellitus and complications is an urgent problem in modern medicine. In patients with a body mass index (BMI) above 25 kg/m2, indicators of markers of carbohydrate metabolism (serum glucose -fasting and postprandial glycemia, glycosylated hemoglobin and urine glucose) and lipid metabolism -total cholesterol (TC), triglycerides (TG), lipidogram (low-density lipoprotein cholesterol -LDL cholesterol, atherogenic index -AI is significantly higher, and high-density lipoprotein cholesterol -HDL cholesterol is significantly lower than in patients with normal body mass ind

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Munadia, Munadia, Hilman Syarif, and Cut Husna. "Indeks Massa Tubuh dan Kadar Gula Darah pada Pasien Diabetes Mellitus Tipe 2." Jurnal Keperawatan Silampari 6, no. 2 (2023): 1836–43. http://dx.doi.org/10.31539/jks.v6i2.5979.

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This study aims to determine body mass index and blood sugar levels in patients with type 2 diabetes mellitus in Central Aceh. This research method is a quantitative study with a cross-sectional design. The results showed that the average age of the respondents was 57 years, the majority were women (66.7%), 71.9% had an average body mass index, and 55.2% had high blood sugar levels. In conclusion, managing and implementing the four pillars of diabetes mellitus can be used as a routine agenda in health services. Keywords: Diabetes Mellitus, Education, Body Mass Index, Blood Sugar Levels,

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Bertini, A., J. Silva, J. Bizatto, C. Pacheco, P. Beckhauser, and C. Manzano. "O116 Body Mass Index impact on gestational diabetes mellitus." International Journal of Gynecology & Obstetrics 107 (October 2009): S126. http://dx.doi.org/10.1016/s0020-7292(09)60488-4.

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Gao, Jingyun, Zhaozhao Hua, and Anqin Wu. "Analysis on Family History of Diabetes, Weight Gain during Pregnancy and Pre-pregnancy Body Mass Index on 82 Pregnant Women with Gestational Diabetes Mellitus." Journal of Clinical and Nursing Research 6, no. 1 (2022): 101–4. http://dx.doi.org/10.26689/jcnr.v6i1.2928.

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Objective: To investigate the effects of family history of diabetes mellitus, Gestational Weight Gain (GWG) and Body Mass Index (BMI) before pregnancy on Gestational Diabetes Mellitus (GDM). Method: 82 pregnant women with GDM who were hospitalized and delivered in the obstetrics department of our hospital from September 2017 to September 2019 were selected as the observation group, and 60 pregnant women with normal glucose tolerance test in the same period were selected as the control group; The relationship between family history of diabetes, weight gain during pregnancy and pre-pregnancy Bod

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Rodríguez López, Santiago, and Natalia Tumas. "Educational disparities in diabetes: a mediation analysis through BMI among urban adults from Argentina." Nutrición Clínica y Dietética Hospitalaria 40, no. 2 (2020): 128–34. https://doi.org/10.12873/402rodriguez.

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Introduction: Low socio-economic status is linked to a higher probability of having type 2 diabetes mellitus in adulthood, including body mass index as a mediation factor in such association. However, the evidence from low- and middle-income countries is scarce and the mechanisms beyond this relationship are not yet completely acknowledge. Objective: The purposes of this study are to i) evaluate the potential mediating role of body mass index in the relationship between educational background and diabetes mellitus; ii) assess whether these associations vary by gender and age. Methods: Cross-se

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Rimadhani, Ervina Tria, Fitriana Mawardi, Fitria Puspita Dewi, Barkah Djaka Purwanta, Amanatus Sholikah, and Muhammad Agita Hutomo. "The relationship of body mass index with fasting blood glucose in type-2 diabetes mellitus." BIO Web of Conferences 148 (2024): 01018. https://doi.org/10.1051/bioconf/202414801018.

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Diabetes mellitus is a metabolic disorder caused by high blood sugar levels. Approximately 90% of diabetes cases are type 2. Indonesia ranks seventh globally with 10.7 million people affected. The increasing prevalence of diabetes mellitus is correlated with the increasing prevalence of overweight and obesity. Therefore, this research was conducted to investigate the relationship between body mass index (BMI) and fasting blood sugar (FBG) levels in type 2 diabetes patients at Umbulharjo 1 Public Health Center, Yogyakarta Province. Indonesia. Method: This research is an observational analytical

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Halim, Angie, Lilik Zuhriyah, and Nanik Setijowati. "ASSOCIATION OF KNOWLEDGE WITH EATING HABITS AND BODY MASS INDEX AS THE RISK FACTORS OF DIABETES MELLITUS IN MALANG." Journal of Community Health and Preventive Medicine 3, no. 2 (2023): 86–95. http://dx.doi.org/10.21776/ub.jochapm.2023.003.02.5.

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Diabetes mellitus in Indonesia, especially in Malang, is still common. Diabetes mellitus is characterized by an increased blood glucose levels and can cause complications in various organs. Risk factors for diabetes mellitus consist of modifiable and non-modifiable factors. The level of knowledge related to diabetes mellitus played a role in the prevention of disease complications. Poor eating habits and lack of physical activity can increase BMI and blood sugar levels. This study aimed to find a relationship between knowledge with eating habits and body mass index as risk factors for diabetes

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Dissertations / Theses on the topic "Diabetes mellitus and Body mass index"

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NAKAJIMA, TAMIE, HISAO NAITO, M. ABU SAYEED, et al. "INCIDENCE OF YOUNG ONSET INSULIN-REQUIRING DIABETES MELLITUS AMONG 18- TO 30-YEAR-OLDS IN DHAKA, BANGLADESH (1994−2003)." Nagoya University School of Medicine, 2012. http://hdl.handle.net/2237/16032.

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HAMAJIMA, NOBUYUKI, KENJI WAKAI, AKIKO TAMAKOSHI, et al. "ASSOCIATION OF OBESITY AND DIABETES WITH SERUM PROSTATE-SPECIFIC ANTIGEN LEVELS IN JAPANESE MALES." Nagoya University School of Medicine, 2012. http://hdl.handle.net/2237/16739.

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Jarvie, Rachel Juliet. "Discourses pertaining to, and lived experiences of, 'Maternal Obesity' (Body Mass Index (BMI) ≥ 30) and Gestational Diabetes Mellitus/Type Two Diabetes Mellitus in the pregnancy and post-birth period." Thesis, University of Plymouth, 2014. http://hdl.handle.net/10026.1/3006.

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This thesis reports on a qualitative exploration of the experiences of 30 women designated as ‘high risk’ due to the co-existence of ‘maternal obesity’ (BMI ≥ 30) and Gestational Diabetes Mellitus (GDM)/Type Two Diabetes Mellitus (T2DM) in pregnancy. This is examined in the context of medico-scientific/public health/ popular media discourses pertaining to ‘maternal obesity’/GDM/T2DM in pregnancy. ‘Maternal obesity’/GDM/T2DM in pregnancy are increasingly prevalent and clinically associated in manifold ways. Increasing prevalence is linked to the ‘global epidemic’ of ‘obesity’/diabetes: now comm

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Kuchlbauer, Veronika. "Untersuchung des Einflusses von Geburtsgewicht und Gewichtszunahme auf die Diabetesmanifestation im Kindesalter: Aufgreifen der Akzelerator-Hypothese." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-155271.

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In der Literatur wird von einem kontinuierlichen, weltweiten Anstieg der Inzidenz des Typ 1 Diabetes mellitus unter Kindern und jungen Erwachsenen, insbesondere in der Altersgruppe der unter 20-Jährigen, berichtet. Die multizentrische Studie EURODIAB untersuchte in den Jahren 1989-2003 die Inzidenz des Typ 1 Diabetes in 17 europäischen Ländern und bestätigte mit deren Ergebnissen diese weltweite Tendenz. Die Akzelerator Hypothese von Wilkin aus dem Jahr 2001 sieht die Ursache hierfür durch einen übermäßigen Gewichtsanstieg bedingt, da auch die Inzidenz übergewichtiger Kinder innerhalb der letz

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Lamb, Molly Margaret. "The role of obesity and risk factors for obesity in the development of islet autoimmunity and type 1 diabetes /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2008.

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Thesis (Ph.D. in Epidemiology, Dept. of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2008.<br>Typescript. Includes bibliographical references (leaves 81-92). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;

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Bobrow, Kirsten Louise. "The effects of childbearing on women's body mass index, and on the risk of diabetes mellitus, or ischaemic heart disease after the menopause." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:5c86d91f-973d-4ff7-a8e7-4e8642a541df.

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Background: Excess adiposity, diabetes mellitus, and ischaemic heart disease are common important causes of morbidity and premature mortality in postmenopausal women in the UK. A large amount of data exists on known risk factors for these conditions, and for risk factors men and women share there is little evidence to suggest sex-based differences. It has been suggested that factors unique to women (such as parity and breastfeeding) may also influence risk. The nature of the relationship between childbearing and these conditions remains to be clarified. In this thesis I explore the association

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Dertkigil, Sergio San Juan 1975. "Avaliação por imagem da distribuição da gordura corporal em obesos e suas correlações metabolicas." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/311218.

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Orientador: Mario Jose Abdalla Saad<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Ciencias Medicas<br>Made available in DSpace on 2018-08-11T14:59:49Z (GMT). No. of bitstreams: 1 Dertkigil_SergioSanJuan_M.pdf: 2116703 bytes, checksum: 70e0c18a251483a0c4be5861dc3adee8 (MD5) Previous issue date: 2006<br>Resumo: Introdução A obesidade tem sido considerada uma das mais importantes doenças da atualidade, tanto pela sua crescente prevalência quanto pela sua alta relevância de morbi-mortalidade. A segmentação da gordura em seus diferentes compartimentos vem ganhando im

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Souza, Netto Maria Caroline Azevedo. "Avaliação do registro alimentar de tres dias, desenvolvimento pondero-estatural e perfil metabolico de adolescentes com diabetes melitus tipo 1 com e sem microalbuminuria." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/312250.

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Orientador: Vera Maria Santoro Belangero<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Ciencias Medicas<br>Made available in DSpace on 2018-08-09T19:37:00Z (GMT). No. of bitstreams: 1 SouzaNetto_MariaCarolineAzevedo_M.pdf: 2303787 bytes, checksum: cceb6beee7102212f29f9d5381ff0fa7 (MD5) Previous issue date: 2005<br>Resumo: Foram avaliados 30 adolescentes com diabetes melitus tipo 1, sendo 14 com microalbuminúria e 16 sem microalbuminúria, acompanhados no Ambulatório de Diabetes da FCM - UNICAMP, com o objetivo de estudar as possíveis diferenças destes grupos quan

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Pirozzi, Flavio Fontes [UNESP]. "Relação entre o índice de massa corpórea, diabetes mellitus tipo 2, estresse oxidativo e polimorfismos nos genes da enzima conversora de angiotensina (ECA) e metilenotetrahidrofolato redutase (MTHRF)." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/148006.

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Submitted by FLAVIO FONTES PIROZZI null (fpirozzi@hotmail.com) on 2017-01-12T19:48:08Z No. of bitstreams: 1 MestradoFFPirozzi2016.pdf: 1293107 bytes, checksum: 3b3e7cfe2931bb2541f4cf0f088ad6f1 (MD5)<br>Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-01-16T17:26:18Z (GMT) No. of bitstreams: 1 pirozzi_ff_me_sjrp.pdf: 1293107 bytes, checksum: 3b3e7cfe2931bb2541f4cf0f088ad6f1 (MD5)<br>Made available in DSpace on 2017-01-16T17:26:18Z (GMT). No. of bitstreams: 1 pirozzi_ff_me_sjrp.pdf: 1293107 bytes, checksum: 3b3e7cfe2931bb2541f4cf0f088ad6f

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Cazarotto, Bianca da Rosa. "Variação de peso materno e fatores associados em diferentes ambientes intrauterinos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/164778.

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Introdução: Diferentes ambientes intrauterinos podem influenciar na variação de peso corporal materno pré-gestacional até seis meses após o parto. A variação de peso é um importante traço materno na direção do ganho de peso gestacional, uma vez que um ganho de peso insuficiente é relacionado ao parto prematuro, ao baixo peso ao nascer ou a um recém-nascido pequeno para a sua idade gestacional, enquanto o seu excesso está associado com o desenvolvimento de diabetes gestacional, parto prematuro, parto cesáreo, recém-nascidos grandes para a sua idade gestacional, retenção de peso materno e, conse

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Books on the topic "Diabetes mellitus and Body mass index"

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Greg, M. J. Clinical measures of obesity in adults with diabetes mellitus: A comparison between waist circumference and body mass index. University of Surrey Roehampton, 2002.

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Pledger, Julia. A five-year study of the effects of baseline body mass index on results of conversion to insulin therapy in patients with Type 2 diabetes. University of Surrey Roehampton, 2002.

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Body Mass Index (BMI): Education for Patients and the Public. Exon Publications, 2025. https://doi.org/10.36255/body-mass-index-bmi-patient-public-education.

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Body Mass Index, commonly referred to as BMI, is a number that helps determine whether your weight is in a healthy range for your height. This article provides a complete and easy-to-follow explanation of what BMI is, how it is calculated, and what your BMI number means for your health. It begins with the basics of the BMI formula and explains the common categories such as underweight, normal weight, overweight, and obese. Each section offers insights into the health risks associated with being in any of these categories, including how high BMI increases the risk of heart disease, diabetes, an

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Bender, David A. 4. Over-nutrition: problems of overweight and obesity. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199681921.003.0004.

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‘Over-nutrition: problems of overweight and obesity’ shows that Western society’s attitude to obesity has changed, and obesity is now considered to be undesirable. A desirable body weight and body mass index (BMI) in the range of 20 to 25 kg/m2 is associated with optimal life expectancy. The health risks of obesity are wide-ranging—including a major cause of early death from cancer, coronary heart disease, and type II diabetes—and it is placing a considerable financial strain on health services. Obesity is the result of increased availability and consumption of food, coupled with decreased phy

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Puntis, John. Obesity. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198759928.003.0022.

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Obesity is the most common nutritional disorder affecting children in the developed world. The marked increase in prevalence is linked to environmental and behavioural changes; children’s energy expenditure has undoubtedly decreased. Obese children often become obese adults; children from lower socioeconomic groups are more likely to be obese. Obesity is a risk factor for ischaemic heart disease, hypertension, stroke, type 2 diabetes, depression, and certain cancers. There is no proven preventive strategy but limiting time in front of computer and TV screens appears important. Obese children a

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Newell-Price, John, Alia Munir, and Miguel Debono. Obesity: differential diagnosis. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0081.

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This topic addresses the causes and consequences of obesity, defined as a body mass index (BMI) of 30 or above. While BMI is the most commonly used measure of obesity, the waist-to-height ratio correlates better with visceral obesity. At least 1.1 billion adults are overweight worldwide, but a medical cause for obesity is found in less than 1 out of every 100 cases. The health consequences of obesity are diverse and serious. Approximately 50% of all hypertension is secondary to obesity, and the heart may also be harmed by obesity-induced chronic volume overload and ischaemic heart disease. Obe

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Book chapters on the topic "Diabetes mellitus and Body mass index"

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Nafadilah, W. T. Verien, Setyoko Setyoko, Yanuarita Tursinawati, and Arum Kartikadewi. "Correlation of Body Mass Index (BMI) and Blood Pressure Level with LDL/HDL Ratio in Javanese Type 2 Diabetes Mellitus Patients." In Advances in Health Sciences Research. Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-550-8_4.

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Earle, K. E., A. G. Archer, J. E. Baillie, and A. N. Howard. "The Influence of Body Mass Index and Hypoglycaemic Drugs on the Circulating and Excreted Levels of Chromium Following an Oral Glucose Challenge, in Subjects with and without Diabetes Mellitus." In Trace Elements in Man and Animals 6. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-0723-5_168.

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Kopf, Stefan. "Fall 32: Spätschäden – 48 Jahre, ♀, DM Typ 1, Insulinresistenz, Anstieg des Body-Mass-Index." In Diabetes-Therapie – informiert entscheiden. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55972-7_32.

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Neubecker, Katherine E. "Race/Ethnic and Socioeconomic Disparities in Body Mass Index (BMI) and the Resulting Spread of Obesity and “Adult-Onset” Diabetes Epidemics Among Adolescents." In Management of Pediatric Obesity and Diabetes. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-60327-256-8_4.

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Noreldin, Ahmed A., Lobna Y. Ghanem, Hussein Saber Abulhassan, Aly Hussein Abulhassan, and Dina T. Ghorra. "Impact of Age, Gender, Body Mass Index, Harvesting Site, Suction Pressure, Smoking, Diabetes, Systemic Lupus and Other Diseases on the Regenerative Properties of the Grafted Adipose Tissue." In Plastic and Aesthetic Regenerative Surgery and Fat Grafting. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-77455-4_17.

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Khalid A. Zakri, Faisal. "Anthropometric Measures and Type 2 Diabetes: Evaluating Predictors for Risk and Management." In Type 2 Diabetes in 2025 - From Long History to Near Outlook [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1008980.

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Anthropometric indices are vital in evaluating obesity, a key factor in developing type 2 diabetes mellitus (T2DM). This chapter reviews the effectiveness of measures like body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and body shape index (ABSI) in predicting diabetes risks. This chapter emphasizes the importance of tailored thresholds for different populations by focusing on Saudi Arabia’s and global studies’ findings. Emerging tools, including waist-to-height ratio (WHtR), are explored alongside advanced technologies such as artificial intelligence and 3D body im

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McCarthy, Mark I. "Diabetes Mellitus and Obesity." In Genomics and Clinical Medicine. Oxford University PressNew York, NY, 2008. http://dx.doi.org/10.1093/oso/9780195188134.003.0012.

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Abstract An Epidemiological Perspective on Diabetes Mellitus and Obesity Increasingly, the twin threats of diabetes and obesity are perceived as amongst the most important global contributors to human disease and death (Kopelman, 2000; Zimmet et al., 2001). The rise in the prevalence of both conditions has been staggering. Over the course of less than a generation—from 1995 to 2010—the total number of people with diabetes is projected to double (from approximately 110 to 220 million) (Fig. 12–1). This burden of increased prevalence will fall disproportionately in the societies least able to de

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Wadhwa, Anupama, and Detlef Obal. "Healthy obese." In Oxford Textbook of Anaesthesia for the Obese Patient, edited by Ashish C. Sinha. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198757146.003.0022.

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At least 30% of the surgical population consists of ‘obese’ patients, mirroring the obesity epidemic in the general population in the United States. Nearly 74% of participants in the American College of Surgery’s National Surgical Quality Improvement Program had an abnormally high body mass index, including 17% of patients under the age of 18 years. This development is particularly concerning as obesity is associated with increased risk of metabolic syndrome, hypertension, coronary artery disease, and diabetes mellitus. However, physicians, nutritionists, and the general public struggle with d

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Singh Bedi, Dr Gurkaran, and Dr Ashis Kumar Saha. "GASTRO-INTESTINAL MANIFESTATIONS OF DIABETES MELLITUS." In Futuristic Trends in Medical Sciences Volume 3 Book 3. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bdms3p2ch1.

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With the increasing incidence of diabetes worldwide, the prevalence of gastrointestinal (GI) complications associated with diabetes is on the rise. These complications are often linked to poor glycemic control and are more prevalent in individuals with Type 1 diabetes mellitus. Gastrointestinal conditions caused by diabetes include esophageal involvement, gastroparesis, and diabetic enteropathy. Esophageal complications manifest as dyspepsia, heartburn, and difficulty in swallowing due to diabetic neuropathy affecting autonomic nerves. Gastroparesis, characterized by delayed gastric emptying,

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Rangareddy, Harish, Priyanka Venkatapathappa, Kesava Mandalaneni, Ashakiran Srinivasaiah, and Katherine Bourne-Yearwood. "Leptin and Obesity: Understanding the Impact on Dyslipidemia." In Body Mass Index - Overweight, Normal Weight, Underweight [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112499.

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Leptin, a hormone produced by fat cells, regulates energy balance and body weight by suppressing appetite and increasing energy expenditure. In obesity, there is often leptin resistance, reducing the hormone’s effects due to factors such as inflammation and changes in leptin receptors. This resistance leads to an increased risk of weight gain and obesity. Leptin therapy shows promise in treating obesity and related metabolic disorders, such as dyslipidemia and type 2 diabetes mellitus. It can lower body weight, improve insulin sensitivity, and reduce blood glucose and lipid levels. However, it

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Conference papers on the topic "Diabetes mellitus and Body mass index"

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Taher, Zahraaakhan. "Estimation of Thyroid Function Tests in Type 2 Diabetes Mellitus." In 5th International Conference on Biomedical and Health Sciences. Cihan University-Erbil, 2024. http://dx.doi.org/10.24086/biohs2024/paper.1278.

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Background and Objectives: Type 2 diabetes mellitus (T2DM) is an endocrine and metabolic disorder caused by insulin resistance, insulin hormone deficiency, and impaired insulin production form pancreatic beta cells. Thyroid hormones play a key role in glucose metabolism via several mechanisms. This study aimed to estimate the serum thyroid hormone levels in type 2 diabetic patients. Methods: The current case and control study was carried out in Erbil city. Blood specimens were collected from 100 subjects divided into two groups (50 case , 50 control). Each group consisted of (32 females and 18

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Siagian, Albiner, and Fazidah Aguslina. "Hypertension, Body Mass Index, and their Associations with Type 2 Diabetes Mellitus in Deli Serdang, North Sumatera." In The 4th International Conference on Public Health. Masters Program in Public Health Universitas Sebelas Maret, 2018. http://dx.doi.org/10.26911/theicph.2018.01.44.

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HASSAN, Neeran F. "USING INCRETIN IN TREATMENT OF DIABETES MELLITUS DISEASE." In IV.International Scientific Congress of Pure,Appliedand Technological Sciences. Rimar Academy, 2022. http://dx.doi.org/10.47832/minarcongress4-29.

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Incretin hormones are gut peptides secreted in response to nutrient ingestion, which play a key role in the regulation of islet function and blood glucose levels. In humans, the major incretin hormones are glucagon-like peptide (GLP)-1 and glucose- dependent insulinotropic polypeptide (GIP), and together they fully account for the incretin effect which is defined as the phenomenon whereby orally ingested glucose elicits a much greater insulin response than that obtained when glucose is infused intravenously to give identical blood glucose levels. there is evidence to suggest that impairments i

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Delimasari, Trisakti Halimah, and Vitri Widyaningsih. "Factors Associated with Stroke: Evidence from Indonesian Family Life Surveys 2015." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.34.

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ABSTRACT Background: Stroke is a major public health problem, affecting millions of people in both developed and developing countries. In Indonesia stroke prevalence in 2013 rose from 7% to 10.9%.The purpose of this study was to determine factors associated with stroke using the Indonesian family live survey 5 (IFLS-5) year 2015. Subjects and Method: This was a cross sectional study. A sample of 34,250 study subject aged ≥18 years old was selected for this study. The dependent variable was stroke. The independent variables were age, gender, body mass index (BMI), hypertension, cholesterol leve

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Gita, Anggi Putri Aria, Isna Qadrijati, and Bhisma Murti. "Biopsychosocial Determinants of Diabetes Mellitus Type 2: Evidence from Surakarta, Central Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.46.

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ABSTRACT Background: Stress has been shown to have major effects on metabolic activity. Diabetes mellitus (DM) is a metabolic disease characterized by chronic hyperglycemia that results from an alteration of the secretion or action of insulin. This study aimed to investigate biopsychosocial determinants of diabetes mellitus type 2 Subjects and Method: A case control study was conducted in Surakarta, Centra Java, Indonesia, from November 2019 to January 2020. A sample of 200 patients with type 2 DM was selected by fixed disease sampling. The dependent variable was type 2 DM. The independent var

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Marlina, Devi, Didik Gunawan Tamtomo, and RB Soemanto. "Factors Affecting the Quality of Life in Patients with Type 2 Diabetes Mellitus in Surakarta, Central Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.39.

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ABSTRACT Background: Previous studies have shown that better glycemic control in type 2 diabetes mellitus (DM) is associated with fewer physical symptoms and better well being. The purpose of this study was to determine factors affecting the quality of life in patients with type 2 diabetes mellitus in Surakarta, Central Java. Subjects and Method: A cross-sectional study was conducted at Dr. Moewardi hospital, Surakarta, Central Java, from February to March 2020. A sample of 200 patients with type 2 DM aged ≥18 years was selected by simple random sampling. The dependent variable was quality of

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Maylani, Rima Tri, Akrom Akrom, Titiek Hidayati, Yenny Sri Wahyuni, and Muhammad Muhlis. "The Body Mass Index, Blood Glucose Level and the Quality of Life of Diabetes Mellitus Type 2 Patients in Primary Health Care: Cross-Sectional Study." In 4th International Conference on Sustainable Innovation 2020–Health Science and Nursing (ICoSIHSN 2020). Atlantis Press, 2021. http://dx.doi.org/10.2991/ahsr.k.210115.005.

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Imansary, Yogi, Moch Yunus, and Rara Warih Gayatri. "The Correlation Between Physical Activity, Body Mass Index (BMI), and Abdominal Circumference with Type 2 Diabetes Mellitus (DM) Cases at Public Health Center Dinoyo Malang." In 4th International Conference on Sports Sciences and Health (ICSSH 2020). Atlantis Press, 2021. http://dx.doi.org/10.2991/ahsr.k.210707.021.

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Huhn, Evelyn, Grammata Kozaeridi, Kristiina Kuusik, et al. "Fetal overgrowth is associated with maternal body mass index and obesity status even in the absence of gestational diabetes mellitus: data from a multi-centre cohort study." In 46. Dreiländertreffen der DEGUM in Zusammenarbeit mit ÖGUM & SGUM. Georg Thieme Verlag, 2023. http://dx.doi.org/10.1055/s-0043-1772325.

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Nurvitasari, Rahsunji Intan, Didik Gunawan Tamtomo, and Yulia Lanti Retno Dewi. "Biopsychosocial and Economic Factors Affecting the Quality of Life in Patients with Type II Diabetes Mellitus." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.65.

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Background: Type 2 diabetes mellitus (DM) is a chronic metabolic disease that has a major impact on the quality of life (QoL). The type 2 DM patients to know their capacity to manage the disease and maintain their health and well-being. This study aims to determine biological, psychological, social and economic factors on the quality of life in type 2 DM patients. Subjects and Method: A cross-sectional study was conducted in Surakarta, Central Java. A sample of 100 type 2 DM patients was selected by purposive random sampling. The dependent variable was quality of life. The independent variable

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Reports on the topic "Diabetes mellitus and Body mass index"

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Mei, Manxue, Min Jiang, Zunjiang Li, Wei Zhu, and Jianping Song. Meditation Programs for Adults with Type 2 Diabetes Mellitus: Protocol for a Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.10.0008.

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Review question / Objective: Would meditation programs affect fasting blood glucose levels and HbA(1c) of patients with type 2 diabetes mellitus? Would meditation programs intervention be of benefit for remission of depression and anxiety level? Would meditation programs improve quality of life of individuals with type 2 diabetes？ Do meditation programs affect body mass index (BMI), serum lipid levels and level of blood pressure? Which type of meditation programs is better for type 2 diabetes patients? Are there any differences of efficacy among different meditation programs? To provide valid

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Suksom, Daroonwan, Chaicharn Deerochanawong, Tanaka, Hirofumi, and Witid Mitranun. The comparison effects of aerobic continuous training and aerobic interval training on glycemic control and endothelial function in type 2 diabetes mellitus. Chulalongkorn University, 2013. https://doi.org/10.58837/chula.res.2013.71.

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The objective of this study was to compare the effects of continuous aerobic exercise training (CON) and interval aerobic exercise training (INT) on glycemic control and endothelium-dependent vasodilatation in patients with type 2 diabetes. A total of 43 participants with type 2 diabetes aged 50-70 years were stratified in parallel-group study and randomly allocated to the sedentary control, continuous aerobic training (CON), and interval aerobic training ( INT) groups. Exercise training programs were designed to yield the same energy expenditure/exercise session and included walking on treadm

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Chen, Jiankun, Yingming Gu, Lihong Yin, et al. Network meta-analysis of curative efficacy of different acupuncture methods on obesity combined with insulin resistance. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0075.

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Review question / Objective: Population：Patients diagnosed as obesity with insulin resistance. Obesity reference: Consensus of experts on the Prevention and treatment of adult obesity in China in 2011 and Consensus of Chinese experts on medical nutrition therapy for overweight/obesity in 2016 were developed by the Obesity Group of Chinese Society of Endocrinology(CSE); BMI≥28. IR reference: According to the Expert opinions on insulin resistance evaluation published by Chinese Diabetes Society, HOMA-IR≥2.68 is regarded as the standard for the diagnosis of IR. Regardless of age, gender and cours

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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Ke

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