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Статті в журналах з теми "Diabetes mellitus and Body mass index"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Eisenberg, Adva, Matthew J. Crowley, Cynthia Coffman, and David Edelman. "Effect of a group medical clinic for veterans with diabetes on body mass index." Chronic Illness 15, no. 3 (2018): 187–96. http://dx.doi.org/10.1177/1742395317753885.

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Objective To assess the impact of a group medical clinic designed for patient with type 2 diabetes mellitus and hypertension on body mass index. Methods Using data from a randomized trial of 239 veterans with type 2 diabetes mellitus, we performed a secondary analysis using analysis of covariance mixed models to explore the effect of a 12-month group medical clinic intervention on change in body mass index vs. usual care. In an exploratory subgroup analysis, we compared change in body mass index between treatment arms stratified by whether patients had >0.5% reduction in hemoglobin A1c at 1

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12

Nurdin, Muhammad Nurdin Rosyidi, Nurul Hidayati, and Moechammad Sarosa. "Nutritional Calculating Application for Diabetes Mellitus Patients Based on Body Mass Index Using Fuzzy Logic." jartel 13, no. 4 (2023): 347–54. http://dx.doi.org/10.33795/jartel.v13i4.627.

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The number of patients with type II diabetes mellitus with its complications tends to increase from year to year as a result of uncontrolled diabetes. WHO and the Indonesian Endocrinology Association (PERKENI) predict that there will be a significant increase in the number of people with diabetes in the coming years and is predicted to continue to increase. DM in Indonesia from 8.4 million in 2000 to 21.3 million in 2030. Calculation of body mass index manually can certainly cause problems such as taking so long and being less efficient. One effort to prevent this problem is by designing an ap

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13

Grigore, Ionica, Gabriela Gurău, Tudor Vladimir Gurău, et al. "Diabetes mellitus and the impact on triglycerides." Technium BioChemMed 4, no. 1 (2022): 17–24. http://dx.doi.org/10.47577/biochemmed.v4i1.8025.

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Atherosclerosis at the diabetic patient is based on lipoproteins in the form of small and dense particles with an increased capacity for subendothelial penetration and the production of atheroma plaque. We conducted a retrospective study on a number of 217 patients with diabetes mellitus, with an average age of 61.53 years, being analyzed the importance of age, sex, type of diabetes, body mass index on triglyceride values. Although no significant correlations were found between body mass index and triglyceride value, to improve glycemic control and lipid profile in obese patients with diabetes

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14

Ramadena, Anisa Putri Etika, Sintha Fransiske Simanungkalit, and A’immatul Fauziyah. "Relationship Of Abdominal Circumference, BMI and Sweet Food Consumption with Diabetes Mellitus in Adults 26-45 Years Old in DKI Jakarta (Riskesdas 2018 Analysis)." Indonesian Journal of Nutritional Science 1, no. 2 (2021): 41. http://dx.doi.org/10.52023/ijns.v1i2.3189.

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Diabetes mellitus occurs, one of which is characterized by hyperglycemia that occurs due to insulin abnormalities or insulin action (Perkeni, 2015). The 2018 Riskesdas survey showed an increase in the prevalence of diabetes mellitus in people over 15 years of age. High carbohydrate intake can affect the incidence of diabetes mellitus. This is caused carbohydrates that have been broken down by the body into glucose will be circulated throughout the body and the glucose balance will be controlled by the pancreas by releasing the hormone insulin. If a insulin produced is few, the glucose level in

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15

Rudic-Grujic, Vesna, Milkica Grabez, Stela Stojisavljevic, Budimka Novakovic, and Snjezana Popovic-Pejicic. "Pre-prepregnancy body mass index and the risk of gestational diabetes mellitus." Srpski arhiv za celokupno lekarstvo 145, no. 5-6 (2017): 275–79. http://dx.doi.org/10.2298/sarh160411036r.

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Introduction/Objective. Not only do pre-pregnancy overweight or obesity increase the risk of adverse maternal and perinatal outcomes but they also lead to the development of gestational diabetes mellitus. The objective of this study was to estimate the prevalence of pre-pregnancy overweight and obesity in the Republic of Srpska and to investigate its association with hyperglycemia and risk of gestational diabetes mellitus. Methods. A cross-sectional study was carried out during the period from February to October 2012 among 555 pregnant women in gestational period from 24 to 28 weeks. The crit

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16

Imalambasi, Nada Nisrina, Tusy Triwahyuni, T. Marwan Nusri, and Rina Kriswiastiny. "Hubungan Lama Menderita Diabetes Melitus Tipe 2 Dan Kadar Gula Darah Dengan Indeks Massa Tubuh (IMT) Pada Pasien Diabetes Melitus Tipe 2 Di Rumah Sakit Pertamina Bintang Amin Husada Bandar Lampung." MAHESA : Malahayati Health Student Journal 2, no. 4 (2022): 674–84. http://dx.doi.org/10.33024/mahesa.v2i4.5889.

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ABSTRACT Hyperglycemia and abnormal BMI are possible signs of metabolic disease. Diabetes mellitus is a disease of glucose metabolic disorders in which the body cannot or is not good at controlling the glucose that enters from food so that blood sugar levels are high. This study aims to determine the relationship between long suffering from type 2 diabetes mellitus and blood sugar levels with body mass index (BMI) in type 2 diabetes mellitus patients at Pertamina Bintang Amin Husada Hospital Bandar Lampung in 2021. This study used an observational analytic method and a cross sectional approach

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17

Al-Masaoodi, Rusul Ali. "The Effect of Inflammatory Markers in Patients with Diabetes Mellitus." Technium BioChemMed 12 (January 5, 2025): 1–12. https://doi.org/10.47577/biochemmed.v12i.12314.

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The purposes of this research are to identify the significance of inflammatory substances in individuals with type 2 diabetes mellitus and investigate the relationship involving inflammatory responses and illness duration. The fifty specimens used in the present investigation were split between thirty specimens of individuals who had diabetes with type 2 and twenty specimens about the unaffected population. In this investigation, the body mass index (BMI), HbAIC, as well as levels of C-reactive proteins among individuals having diabetes type 2 and the unaffected population were calculated. als

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18

Anggraini, Berlyna Mey, and Okti Sri Purwanti. "The Relationship Between Body Mass Index and Diabetic Neuropathy in Patients With Diabetes Mellitus at the Regional General Hospital dr.Soehadi Prijonegoro Sragen District." Contagion: Scientific Periodical Journal of Public Health and Coastal Health 6, no. 1 (2024): 453. http://dx.doi.org/10.30829/contagion.v6i1.19460.

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<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Diabetic neuropathy is a prevalent consequence of diabetes mellitus, affecting around 50% of individuals with the condition. There exists a strong correlation between the onset of diabetic neuropathy and body mass index. There is a positive correlation between body mass index and the risk of neuropathy. The objective of this study is to investigate the correlation between body mass index and diabetic neuropathy among individuals diagnosed with diabe

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19

Augusthy, Asha, Suchanda Sahu, and Ashok Kumar Jeppu. "Lipid Indices vs Anthropometric Indices in Metabolic Syndrome and Type 2 Diabetes Mellitus." Annals of Pathology and Laboratory Medicine 8, no. 6 (2021): A152–157. http://dx.doi.org/10.21276/apalm.3060.

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Background: Diabetes mellitus is a metabolic disease known by chronic hyperglycemia which results from defective insulin action and secretion. Metabolic Syndrome consists of a constellation of metabolic abnormalities that confer increased risk of diabetes mellitus. The aim of our study is to find out whether non-invasive, clinically measurable surrogates could be useful in identifying body fat distribution and help predict metabolic syndrome and diabetes risk and to compare the performance of anthropometric indices with lipid indices in identifying metabolic syndrome and diabetes. Method

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20

Latif, Zafar Ahmed, SM Ashrafuzzaman, and Muhammad Abdur Rahim. "Body Mass Index: Where We Will Go by The Year 2030!" BIRDEM Medical Journal 8, no. 2 (2018): 99–102. http://dx.doi.org/10.3329/birdem.v8i2.36637.

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Background: The prevalence of diabetes mellitus is increasing throughout the world, mostly type 2 diabetes mellitus and largely contributed by increasing body mass index (BMI). This study was designed to compare BMI of newly detected diabetic patients in two different Bangladeshi cohorts spaced over 25 years.Methods: This was a retrospective study from hospital records from two cohorts: 1981 to 1985 and 2006 to 2010. Patients were divided in 4 groups according to BMI and comparison was made. BMI of newly detected diabetic patients from 2011 and 2012 were also compared.Results: Age at diagnosis

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21

Emori Christina Simarmata, Tasya Armadinah, Yeni Puspawani, and Juliana Lina. "The Relationship of Body Mass Index and Diabetic Foot Risk in Type 2 Diabetes Mellitus at Royal Prima Hospital on Period 2018 to 2020." Archives of The Medicine and Case Reports 2, no. 4 (2021): 201–5. http://dx.doi.org/10.37275/amcr.v2i4.126.

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Body mass index (BMI) is a simple method that is commonly used to determine whether a person is obese or not. Diabetes mellitus is a disorder of the metabolic system because the pancreas cannot produce enough insulin or the body's cells cannot use insulin effectively. Diabetic foot is one of the chronic complications of diabetes mellitus (DM). Diabetic foot begins with hyperglycemia which causes abnormalities in neuropathy and blood vessels, causing infection. To determine the proportion of body mass index in patients with diabetes mellitus, to determine the prevalence of diabetic feet and non

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22

Ayash, Safa A., Hedef Dh Elyaseen, and Munib A. Alzubaidi. "The Impact of Serum Ghrelin on Body Mass Index in Children with Type1 Diabetes Mellitus." Journal of the Faculty of Medicine Baghdad 67, no. 1 (2025): 128–34. https://doi.org/10.32007/jfacmedbaghdad2769.

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Background: Insulin produced by pancreatic β cells ceases in people with type1 diabetes mellitus, an endocrine disease caused by autoimmune damage. It can cause weight loss. Energy balance controls the secretion of ghrelin, a peptide hormone made by entering endocrine cells found in the oxyntic glands of the stomach fundus. Objectives: This study aimed to investigate the relationship between serum ghrelin and body mass index in newly diagnosed children with type 1 diabetes mellitus. Methods: The study involved 120 pediatric participants aged 2-14 years conducted from February to May 2024. They

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23

Lund, Agnethe, Cathrine Ebbing, Svein Rasmussen, Elisabeth Qvigstad, Torvid Kiserud, and Jörg Kessler. "Pre-gestational diabetes: Maternal body mass index and gestational weight gain are associated with augmented umbilical venous flow, fetal liver perfusion, and thus birthweight." PLOS ONE 16, no. 8 (2021): e0256171. http://dx.doi.org/10.1371/journal.pone.0256171.

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Objectives To assess how maternal body mass index and gestational weight gain are related to on fetal venous liver flow and birthweight in pregnancies with pre-gestational diabetes mellitus. Methods In a longitudinal observational study, 49 women with pre-gestational diabetes mellitus were included for monthly assessments (gestational weeks 24–36). According to the Institute Of Medicine criteria, body mass index was categorized to underweight, normal, overweight, and obese, while gestational weight gain was classified as insufficient, appropriate or excessive. Fetal size, portal flow, umbilica

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24

Goodship, T. H. J., P. C. Butler, D. Rodham, B. Clayton, P. D. Home, and K. G. M. M. Alberti. "Total-body potassium in insulin-dependent diabetes mellitus." Clinical Science 78, no. 4 (1990): 377–81. http://dx.doi.org/10.1042/cs0780377.

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1. Total-body potassium and fat-free mass have been measured in 31 insulin-dependent diabetic patients and 31 age- and sex-matched normal volunteers. 2. Body mass index was significantly higher in the insulin-dependent diabetic patients (24.7 ± .5 vs 23.3 ± 0.4 kg/m2; P = 0.05). 3. Total-body potassium, uncorrected and corrected for weight and for fat-free mass, was not significantly different in the two groups (3281 ± 141 mmol, 47.3 ± 1.3 mmol/kg body weight, 60.9 ± 1.0 mmol/kg fat-free mass, and 3315 ± 143 mmol, 48.6 ± 1.0 mmol/kg body weight, 60.4 ± 0.8 mmol/kg fat-free mass, respectively,

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25

Perez-Calahorra, Sofia, Fernando Civeira, Pilar Guallar-Castillón, et al. "Behavioural cardiovascular risk factors and prevalence of diabetes in subjects with familial hypercholesterolaemia." European Journal of Preventive Cardiology 27, no. 15 (2020): 1649–60. http://dx.doi.org/10.1177/2047487319896138.

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A low prevalence of type 2 diabetes mellitus has been reported in familial hypercholesterolaemia. Whether a healthier lifestyle could explain it has not been explored. This cross-sectional study determines the prevalence of lifestyle-related cardiovascular risk factors in heterozygous familial hypercholesterolaemia (HeFH) from the Dyslipidaemia Registry of the Spanish Atherosclerosis Society and in the ENRICA study, a representative sample of the adult Spanish general population, weighted to match the age and sex distribution of the HeFH sample. A total of 2185 HeFH patients and 11,856 individ

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26

Marshnil, RW, and G. Ganesh. "Association of Body Mass Index with Serum Total Cholesterol, HDL And LDL Cholesterol in Type-2 Diabetes Mellitus." International Journal of Pharmaceutical and Clinical Research 16, no. 7 (2024): 834–38. https://doi.org/10.5281/zenodo.13120033.

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<strong>Introduction: </strong>There is increased risk of developing Diabetes with progressive rise in Body mass Index. Dyslipidemia in Diabetes is one of the major reasons for sudden cardiac death in diabetic patients. Life style modifications along with good dietary habits are extremely essential to prevent Obesity and development of dyslipidemia in Diabetes. <strong>Aim:</strong> This study aims to look for the association between Body mass Index and dyslipidemia in patients with type-2- Diabetes Mellitus.  <strong>Materials and Methods: </strong>This Cross- se

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27

Ogonowski, J., T. Miazgowski, M. Kuczyńska, B. Krzyżanowska-Świniarska, and Z. Celewicz. "Pregravid body mass index as a predictor of gestational diabetes mellitus." Diabetic Medicine 26, no. 4 (2009): 334–38. http://dx.doi.org/10.1111/j.1464-5491.2009.02695.x.

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Min, Deulle, and Eunhee Cho. "Associations among health behaviors, body mass index, hypertension, and diabetes mellitus." Medicine 97, no. 22 (2018): e10981. http://dx.doi.org/10.1097/md.0000000000010981.

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Rooney, David, Weng Kit Lye, Gavin Tan, et al. "Body mass index and retinopathy in Asian populations with diabetes mellitus." Acta Diabetologica 52, no. 1 (2014): 73–80. http://dx.doi.org/10.1007/s00592-014-0602-2.

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30

Hersh, Alyssa R., Uma Doshi, Bharti Garg, and Aaron B. Caughey. "Association of body mass index and recurrence of gestational diabetes mellitus." American Journal of Obstetrics and Gynecology 228, no. 1 (2023): S87. http://dx.doi.org/10.1016/j.ajog.2022.11.189.

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31

Yuswatiningsih, Endang, and Ifa Nofalia. "INDEKS MASA TUBUH DENGAN KADAR GULA DARAH PADA PENDERITA DIABETES MELLITUS TIPE 2." Hospital Majapahit (JURNAL ILMIAH KESEHATAN POLITEKNIK KESEHATAN MAJAPAHIT MOJOKERTO) 16, no. 2 (2024): 174–81. http://dx.doi.org/10.55316/hm.v16i2.1075.

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High blood glucose levels are caused by insufficient insulin produced by the pancreas, causing hyperglycemia. The purpose of this study was to analyze the relationship between body mass index and blood sugar levels during type 2 diabetes mellitus. This type of research was correlational analysis with a cross-sectional approach. The population of this study was all type 2 diabetes mellitus patients at the Melati Elderly Posyandu, Mlaras Village, Sumobito as many as 54 respondents. The sample of this study was 48 respondents with type 2 diabetes mellitus at the Melati Elderly Posyandu, Mlaras Vi

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Wei, Liu, Xue, Wang, and Shi. "Comparisons of Visceral Adiposity Index, Body Shape Index, Body Mass Index and Waist Circumference and Their Associations with Diabetes Mellitus in Adults." Nutrients 11, no. 7 (2019): 1580. http://dx.doi.org/10.3390/nu11071580.

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The associations between visceral adiposity index (VAI), body shape index and diabetes in adults were inconsistent. We assessed the predictive capacity of VAI and body shape index for diabetes by comparing them with body mass index (BMI) and waist circumference (WC). We used the data of 5838 Chinese men and women aged ≥18 years from the 2009 China Health and Nutrition Survey. Multivariate logistic regression analysis was performed to examine the independent associations between Chinese VAI (CVAI) or body shape index and diabetes. The predictive power of the two indices was assessed using the r

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Xiao, Li, Kang Zou, Duoyan Zhou, Guilan Ouyang, Shuixiang Liu, and Jun Luo. "Changes of Blink Reflex in Type 2 Diabetes Mellitus." Journal of Diabetes Research 2021 (March 12, 2021): 1–7. http://dx.doi.org/10.1155/2021/2473193.

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Blink reflex provides an objective assessment of the cranial and central nervous systems. However, the relationships between body mass index, dizziness, and BR have not been explored in patients with type 2 diabetes mellitus (T2DM). Moreover, R2 duration, one of the parameters of the blink reflex, has not been studied to date. In the present study, we aimed to investigate the characteristics and influencing factors of blink reflex in patients with T2DM. We included 45 healthy subjects and 105 hospitalized patients with T2DM. The relationships between these parameters and sex, age, body mass in

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Meng, Fanxing, Lei Zhu, Wenjie Huang, David M. Irwin, and Shuyi Zhang. "Bats: Body mass index, forearm mass index, blood glucose levels and SLC2A2 genes for diabetes." Scientific Reports 6, no. 1 (2016): 29960. https://doi.org/10.5281/zenodo.13440091.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Bats have an unusually large volume of endocrine tissue, with a large population of beta cells and an elevated sensitivity to glucose and insulin. This makes them excellent animal models for studying diabetes mellitus. We evaluated bats as models for diabetes in terms of lifestyle and genetic factors. For lifestyle factors, we generated data sets of 149 body mass index (BMI) and 860 forearm mass index (FMI) measurements for different species of bats. Both showed negative inter-species correlations with blood glucose levels in sixteen

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Meng, Fanxing, Lei Zhu, Wenjie Huang, David M. Irwin, and Shuyi Zhang. "Bats: Body mass index, forearm mass index, blood glucose levels and SLC2A2 genes for diabetes." Scientific Reports 6, no. 1 (2016): 29960. https://doi.org/10.5281/zenodo.13440091.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Bats have an unusually large volume of endocrine tissue, with a large population of beta cells and an elevated sensitivity to glucose and insulin. This makes them excellent animal models for studying diabetes mellitus. We evaluated bats as models for diabetes in terms of lifestyle and genetic factors. For lifestyle factors, we generated data sets of 149 body mass index (BMI) and 860 forearm mass index (FMI) measurements for different species of bats. Both showed negative inter-species correlations with blood glucose levels in sixteen

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36

Meng, Fanxing, Lei Zhu, Wenjie Huang, David M. Irwin, and Shuyi Zhang. "Bats: Body mass index, forearm mass index, blood glucose levels and SLC2A2 genes for diabetes." Scientific Reports 6, no. 1 (2016): 29960. https://doi.org/10.5281/zenodo.13440091.

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Анотація:

(Uploaded by Plazi for the Bat Literature Project) Abstract Bats have an unusually large volume of endocrine tissue, with a large population of beta cells and an elevated sensitivity to glucose and insulin. This makes them excellent animal models for studying diabetes mellitus. We evaluated bats as models for diabetes in terms of lifestyle and genetic factors. For lifestyle factors, we generated data sets of 149 body mass index (BMI) and 860 forearm mass index (FMI) measurements for different species of bats. Both showed negative inter-species correlations with blood glucose levels in sixteen

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37

Meng, Fanxing, Lei Zhu, Wenjie Huang, David M. Irwin, and Shuyi Zhang. "Bats: Body mass index, forearm mass index, blood glucose levels and SLC2A2 genes for diabetes." Scientific Reports 6, no. 1 (2016): 29960. https://doi.org/10.5281/zenodo.13440091.

Повний текст джерела

Анотація:

(Uploaded by Plazi for the Bat Literature Project) Abstract Bats have an unusually large volume of endocrine tissue, with a large population of beta cells and an elevated sensitivity to glucose and insulin. This makes them excellent animal models for studying diabetes mellitus. We evaluated bats as models for diabetes in terms of lifestyle and genetic factors. For lifestyle factors, we generated data sets of 149 body mass index (BMI) and 860 forearm mass index (FMI) measurements for different species of bats. Both showed negative inter-species correlations with blood glucose levels in sixteen

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38

Meng, Fanxing, Lei Zhu, Wenjie Huang, David M. Irwin, and Shuyi Zhang. "Bats: Body mass index, forearm mass index, blood glucose levels and SLC2A2 genes for diabetes." Scientific Reports 6, no. 1 (2016): 29960. https://doi.org/10.5281/zenodo.13440091.

Повний текст джерела

Анотація:

(Uploaded by Plazi for the Bat Literature Project) Abstract Bats have an unusually large volume of endocrine tissue, with a large population of beta cells and an elevated sensitivity to glucose and insulin. This makes them excellent animal models for studying diabetes mellitus. We evaluated bats as models for diabetes in terms of lifestyle and genetic factors. For lifestyle factors, we generated data sets of 149 body mass index (BMI) and 860 forearm mass index (FMI) measurements for different species of bats. Both showed negative inter-species correlations with blood glucose levels in sixteen

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Gallagher, Catherine, and James Hill. "Gestational Diabetes Mellitus Prevention: A Commentary." Practising Midwife 27, no. 5 (2024): 24–28. http://dx.doi.org/10.55975/tpdp7486.

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Gestational diabetes mellitus (GDM) poses a significant global health challenge. Well-established risk factors include a body mass index (BMI) above 30, maternal age over 40, previous GDM instances, a history of delivering babies weighing over 4.5kg, and specific ethnic backgrounds. This commentary discusses the Cochrane umbrella review by Griffith, et al., (2020) evaluating various lifestyle-focused interventions for GDM prevention.

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Rabi, Tousif, Kausik Bandyopadhyay, and Shiuli Roy Adak. "Frequency of gestational diabetes mellitus and associated risk factors amongst women attending antenatal clinic at a tertiary care hospital of West Bengal, India." International Journal of Reproduction, Contraception, Obstetrics and Gynecology 12, no. 6 (2023): 1706–9. http://dx.doi.org/10.18203/2320-1770.ijrcog20231540.

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Background: Women with gestational diabetes are associated with adverse pregnancy outcomes. This study was conducted to evaluate prevalence of gestational diabetes mellitus and associated risk factors amongst women attending antenatal clinic of a tertiary care hospital of west Bengal, India. Methods: Universal screening for gestational diabetes mellitus was done in 215 women with estimated gestational age between 24 weeks to 28 weeks. They were requested to drink 75 gram of glucose dissolved 300 ml of water irrespective of their last meal. Gestational diabetes mellitus was diagnosed if 2 hour

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Joshi, Bishal, Laxmi Shrestha, Kushal Bhattarai, Nilu Manandhar, and Narayan Bahadur Mahotra. "Comparison of Central Obesity with Overall Obesity in Predicting the Risk of Type 2 Diabetes Mellitus." Journal of Universal College of Medical Sciences 7, no. 1 (2019): 17–21. http://dx.doi.org/10.3126/jucms.v7i1.24680.

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INTRODUCTION: Many studies have shown the association of waist circumference, waist hip ratio and body mass index with type 2 diabetes mellitus. Waist circumference and waist hip ratio have been used as measures of central obesity and body mass index has been used as a measure of general obesity. Objective of this study is to find out which type of obesity is better for prediction of risk of type 2 diabetes mellitus. MATERIAL AND METHODS:Total 100 participants with confirmed diagnosis of type 2 DM with age group 35-80 years were selected for the study. Anthropometric measurements like he

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Shrivastav, Manish, Nihit Kharkwal, Alankar Tiwari, and Keshav Kumar Gupta. "A CROSS SECTIONAL STUDY OF TYPE 2 DIABETES MELLITUS COMPARING DIFFERENT FACTORS BETWEEN LEAN BODY WEIGHT, NON OBESE AND OBESE PATIENTS IN WESTERN UTTAR PRADESH." Journal of Current Medical Research and Opinion 3, no. 01 (2020): 404–7. http://dx.doi.org/10.15520/jcmro.v3i01.248.

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Introduction- Incidence and prevalence of diabetes mellitus has been increased quite rapidly from last decade. It was thought previously that obesity is one of the major predisposing risk factor and complications of diabetes would be more common and fatal in obese persons with diabetes, but it has been shown in more recent studies that some of the factors and peculiarities are much more common in patients with lean body mass. Material and methods- This study was done in a tertiary care centre of western Uttar Pradesh over 240 cases of type 2 diabetes mellitus that were divided into three

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Somani, S., M. Misra, H. Tahilramani, and K. Kumari. "Effect of Maternal Body Mass Index on Pregnancy Outcome." International Journal of Pharmaceutical and Clinical Research 14, no. 11 (2022): 265–73. https://doi.org/10.5281/zenodo.13871858.

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<strong>Introduction:</strong> Body weight is double edged sword, underweight as well as overweight are responsible for various medical illnesses, overweight pregnant women are more prone to gestational hypertension, preeclampsia, gestational diabetes mellitus, macrosomia, operative deliveries, wound infection, respiratory problems. Underweight pregnant women are more prone for anemia, preterm birth, intra uterine growth retardation, low birth weight babies. <strong>Objective:</strong> To determine maternal and perinatal risk in over weight as well as underweight pregnant women.

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Indahsari, Noer Kumala, Olivia Herliani, and Suhartati Suhartati. "Incidence of Obesity in Diabetes Mellitus Rates, Profile of Teachers and Employees at SMA X Surabaya." Jurnal Ilmiah Kedokteran Wijaya Kusuma 13, no. 2 (2024): 153. http://dx.doi.org/10.30742/jikw.v13i2.3752.

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Background: Reduced metabolic function can cause the human body to experience a lack of energy, resulting in the possibility of diseases including diabetes mellitus, hypertension, atherosclerosis, and even coronary heart disease. Objective: This study aims to analyze the incidence of obesity through Body Mass Index on the incidence of diabetes mellitus and Lipid Profile at SMA X Surabaya. Methods: The research design used was cross-sectional. Sampling was carried out using non-probability sampling with a random sampling technique. Data collection was carried out at SMA X Surabaya by 64 teacher

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Cercato, Cintia, Márcio Corrêa Mancini, Ana Maria Carvalho Arguello, Vanessa Quintas Passos, Sandra Mara Ferreira Villares, and Alfredo Halpern. "Systemic hypertension, diabetes mellitus, and dyslipidemia in relation to body mass index: evaluation of a Brazilian population." Revista do Hospital das Clínicas 59, no. 3 (2004): 113–18. http://dx.doi.org/10.1590/s0041-87812004000300004.

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OBJECTIVE: To determine the prevalence of systemic hypertension, diabetes mellitus, hypercholesterolemia, and hypertriglyceridemia in a Brazilian population in relation to body mass index. METHOD: Retrospective evaluation of 1213 adults (mean age: 45.2 ± 12.8; 80.6% females) divided into groups according to body mass index [normal (18.5 - 24.4 kg/m²); overweight (25 - 29.9 kg/m²); grade 1 obesity (30 - 34.9 kg/m²); grade 2 obesity (35 - 39.9 kg/m²), and grade 3 obesity (> 40 kg/m²)]. The prevalence of hypertension, diabetes mellitus, hypercholesterolemia, and hypertriglyceridemia were analy

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Al Asfoor, D. H., J. A. Al Lawati, and A. J. Mohammed. "Body fat distribution and the risk of non-insulin-dependent diabetes mellitus in the Omani population." Eastern Mediterranean Health Journal 5, no. 1 (1999): 14–20. http://dx.doi.org/10.26719/1999.5.1.14.

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Anthropometric measures of overall and central obesity as predictors of non-insulin-dependent diabetes mellitus [NIDDM]risk were studied. Data for 4728 Omanis were taken from the 1991 National Diabetes Survey. Diabetes mellitus was assessed using a 2-hour post glucose load. After adjusting for age, sex, family history of diabetes, physical activity and blood pressure, body mass index [BMI]was positively associated with increased risk of diabetes mellitus. Controlling for BMI and other potential confounders, waist-to-hip ratio and waist circumference were positively associated with increased ri

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Vikash, Kumar, Jha Mantun, and Raheel Shadab. "An Observational Cross Sectional Study to Evaluate Association between BMI and Severity of Diabetes Mellitus." International Journal of Current Pharmaceutical Review and Research 15, no. 07 (2023): 95–102. https://doi.org/10.5281/zenodo.12579176.

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AbstractAim: The aim of the present study was to investigate the association and quantify therelationship between BMI and severity of diabetes mellitus.Material & Methods: This analytic cross-sectional study was performed in the departmentof Medicine IPD of Lord Buddha Koshi Medical College, Saharsa, Bihar, India for one year.The final sample included 500 individuals who had a baseline BMI ≥18.5 kg/m2 (200 casesand 300 controls).Results: Compared with control individuals, the case individuals had higher baseline BMIvalues (mean ± standard deviation: 32.8 ± 8.2 kg/m2 vs. 28

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Oki, Julie C., Alexander Tal, Leland Graves, and William L. Isley. "Can Response to Bedtime Insulin with Daytime Sulfonylurea Be Predicted in Patients with Type 2 Diabetes Mellitus?" Journal of Pharmacy Technology 13, no. 5 (1997): 200–205. http://dx.doi.org/10.1177/875512259701300508.

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Objective: To determine characteristics predictive of response in patients with Type 2 diabetes mellitus (Type 2 DM) who demonstrate good or poor blood glucose control while receiving bedtime insulin with daytime sulfonylurea (BIDS) therapy. Methods: A retrospective chart review of patients with Type 2 DM receiving BIDS therapy was performed. The criterion for responders was the mean of two consecutively obtained glycosylated hemoglobin (Hb) concentrations being less than or equal to 10.2% (HbA1c ≤7.0%). Setting: A university-affiliated diabetes specialty clinic staffed consistently by a pharm

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Alieva, T. T. "Clinical and metabolic status index as an indicator of complex treatment efficiency in patients with type 2 diabetes mellitus." Kazan medical journal 95, no. 6 (2014): 791–94. http://dx.doi.org/10.17816/kmj1982.

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Aim. To study the performance of clinical and metabolic status index for estimating the results of treatment in patients with type 2 diabetes mellitus by monitoring their condition. Methods. Treatment results of 70 patients with type 2 diabetes mellitus (28 females, 42 males) were analyzed. Body height and weight, body mass index, systolic and diastolic pressure (while seated) were measured in all patients. Mean arterial pressure was calculated using systolic and diastolic pressures. Clinical and metabolic status index (CMSI) was defined as following: CMSI=а1х1+а2х2+а3х3+а4х4, where x1 - body

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Asary, Teguh Mayadi, Raden Gunawan Effendi, Khairunnisai T., and I. Gede Angga Adnyana. "Relationship Between Body Mass Index, Duration of Diabetes Mellitus, and Physical Activity Degree with The Incidence of Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients at Praya Hospital." Jurnal Biologi Tropis 24, no. 1b (2024): 417–27. https://doi.org/10.29303/jbt.v24i1b.8187.

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Diabetes Mellitus is a chronic condition that leads to complications and premature death worldwide. Diabetic retinopathy is a posterior segment anomaly and one of the most prevalent microvascular problems. The purpose of this study is to examine the link between body mass index, diabetes duration, and level of physical activity with the incidence of diabetic retinopathy in Praya Regional Hospital's type 2 diabetes patients. This study employed a case control design and observational quantitative analytical research as its methodology. Purposive sampling is the method employed, and it involves

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