Are the Thigh Circumference, Waist-to-Thigh Circumference Ratio and Serum Creatinine Better Markers of Type II Diabetes than the Body Mass Index?

2015 ◽  
Vol 10 (2) ◽  
pp. 26-36
Author(s):  
Robert A. Ngala ◽  
Martin A. Akilla ◽  
Edwin D. Doodaah
Keyword(s):  
Body Mass Index ◽  
Serum Creatinine ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
The Body ◽  
Type Ii ◽  
Thigh Circumference

scholarly journals Outcome of breast cancer patients regarding obesity and complications: Analysis of risk factors

2021 ◽  
Vol 68 (1) ◽  
pp. 77-86
Author(s):  
Iuliana Pantelimon ◽  
◽  
Laurentia Nicoleta Gales ◽  
Maria Daniela Tanasescu ◽  
Irina Nita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Prognostic Factors ◽  
Disease Progression ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
The Body ◽  
Proliferation Index ◽  
Her2 Overexpression ◽  
Type Ii

Introduction. Breast cancer is the leading cause of cancer death in Romania. In the context in which the treatments available for this pathology have increased curability, the identification of negative prognostic factors involved in the evolution of this disease seems essential to improve the overall survival as well as the time to disease progression. Aim. The aim of this study is to identify the role of prognostic factors such as ki67 proliferation index, the presence of tumour estrogen receptors, HER2 overexpression, the presence of secondary determinations at diagnosis, the association of obesity and type II diabetes. Methods. 50 patients diagnosed with breast cancer treated in the Elias University Emergency Hospital Bucharest were retrospectively followed, for which the progression was documented at the time of elaboration of this study. Thus, a database was developed in which data were entered on age, body mass index, immunohistochemical characteristics of breast tumours, the presence/absence of metastases at diagnosis and the association of type II diabetes. Statistical calculations were performed to highlight a possible correlation between obesity (quantified by measuring body mass index) and tumour aggressiveness (quantified by ki67 proliferation index) as well as statistical evaluation of potential prognostic factors that would influence time, until the disease progresses. Results. Within this group, no correlation could be established between the presence of an increased body mass index and the value of the ki67 proliferation index (p = 0.38). The mean value of the body mass index for this group of unselected patients was 28.76 ± 4.81 (DS) most patients are therefore overweight or obese. The factors involved in the evolution of breast cancer that influenced the early progression of the disease were: the proliferation index ki67 (p <0.05), the presence of metastases at diagnosis (p < 0.0001) and the association of type II diabetes (p = 0.0085). The value of the body mass index did not influence the time to disease progression according to statistical calculations in this group probably due to the small number of normal weight patients included (p = 0.34).

scholarly journals Risk Factors Associated With Type-II Diabetes Mellitus in Male Adults in District Mardan

2019 ◽  
Vol 4 (1) ◽  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Body Mass Index ◽  
Blood Sugar ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Type Ii Diabetes Mellitus ◽  
Fasting Blood Sugar ◽  
Type Ii ◽  
Factors Associated

A study was carried out, in order to assess the risk factors associated with type-II diabetes mellitus in males (Age≥40 years) in district Mardan. Four hundred cases and controls (Each 200) were selected from 10 union councils (7 rural and 3 urban) by a systematic sampling method. In order to select cases and controls, all were interviewed for medical history, on fulfillment of which, cases and controls were separately included for study. In anthropometry, weight, and height were taken for Body Mass Index while waist and hip circumference were taken for waist-to-hip ratio. Fasting blood sugar of cases and controls was determined with the glucometer. Cases and controls were interviewed with Food frequency questionnaire and other questionnaires in order to assess the demographic and socioeconomic characters of the families. The results disclosed that most of the cases had family history of diabetes. In addition to that, cases were also found to have higher (p<0.05) average weight, height and body mass index, and fasting blood sugar level to those of controls. These results also revealed that there was a distinguished (p<0.05) association between dairy and fruit with the health status and about 1/3rd of both cases and controls had satisfactory consumption of dairy and fruit only. A significant link was found among family size, exercise, type of exercise, duration of exercise, watching television, duration of watching television and the status of disease. The study revealed that a combination of anthropometric, dietary and demographic variables were associated with type-II diabetes mellitus in male adult population of district Mardan.

Achilles tendon and plantar fascia in recently diagnosed type II diabetes: role of body mass index

2012 ◽  
Vol 31 (7) ◽  
pp. 1109-1113 ◽  
Author(s):  
Michele Abate ◽  
Cosima Schiavone ◽  
Luigi Di Carlo ◽  
Vincenzo Salini
Keyword(s):  
Body Mass Index ◽  
Achilles Tendon ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Plantar Fascia ◽  
Type Ii

scholarly journals Laparoscopic Roux-en-Y Gastric Bypass for the Treatment of Type II Diabetes Mellitus in Chinese Patients with Body Mass Index of 25–35

2011 ◽  
Vol 21 (9) ◽  
pp. 1344-1349 ◽  
Author(s):  
Chih-Kun Huang ◽  
Asim Shabbir ◽  
Chi-Hsien Lo ◽  
Chi-Ming Tai ◽  
Yaw-Sen Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Gastric Bypass ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Type Ii Diabetes Mellitus ◽  
Chinese Patients ◽  
Type Ii

116 The Obesity Paradox in Type II Diabetes Mellitus. Impact of Body Mass Index on Prognosis

Heart ◽  
2014 ◽  
Vol 100 (Suppl 3) ◽  
pp. A66.1-A66 ◽  
Author(s):  
Pierluigi Costanzo ◽  
Pierpaolo Pellicori ◽  
John Cleland ◽  
Andrew Clark ◽  
David Hepburn ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Obesity Paradox ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii

scholarly journals Obesity and metabolic comorbidity in bipolar disorder: do patients on lithium comprise a subgroup? A naturalistic study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jake Prillo ◽  
Jocelyn Fotso Soh ◽  
Haley Park ◽  
Serge Beaulieu ◽  
Outi Linnaranta ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Bipolar Disorder ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Tertiary Care ◽  
Type Ii ◽  
Cross Sectional ◽  
Wide Range ◽  
Prevalence Of Obesity

Abstract Background Bipolar disorders (BD) are associated with increased prevalence of obesity and metabolic syndrome (MetS). Nevertheless, there is a wide range in prevalence estimates, with little known about the contributions of pharmacotherapy. It has been suggested that lithium might have a more favorable metabolic profile. We hypothesized that lithium use is associated with less increased body mass index (BMI), MetS, and type II diabetes, when compared with non-lithium users (those on anticonvulsants, second-generation antipsychotics). Methods Cross-sectional study of 129 patients aged 18–85 with bipolar disorder, followed at tertiary care clinics in Montreal. Patients using lithium were compared with those not on lithium, for body mass index and metabolic syndrome. Results The prevalence of obesity and metabolic syndrome in the sample of lithium-using patients with BD was 42.4 and 35.7% respectively, with an average BMI of 29.10 (+/− 6.70). Lithium and non-lithium groups did not differ in BMI or prevalence of MetS. However, compared to the non-lithium group, lithium users had lower hemoglobin A1C (5.24 +/− 0.53 versus 6.01 +/− 1.83, U = 753.5, p = 0.006) and lower triglycerides (1.46 +/− 0.88 versus 2.01 +/− 1.25, U = 947, p = 0.020). Conclusions There is a high prevalence of obesity and metabolic syndrome among patients with bipolar disorder. However, this did not appear to be associated with lithium use, when compared to those not on lithium. The lithium subgroup was also associated with lower prevalence of type II diabetes. Future prospective and intervention studies with larger sample sizes are necessary to further explore the association between lithium and insulin resistance, as well as its underlying mechanisms.

Sign in / Sign up

Export Citation Format

Share Document