scholarly journals Association between Muscle Mass and Body Mass Index in Elderly Diabetic Patients Attending Tertiary Care Center in Bangalore, India

2016 ◽  
Vol 4 (3) ◽  
pp. 96-99
Author(s):  
Sowbarnika Palanisami ◽  
Vasudha Kulkarni
Keyword(s):  
Body Mass Index ◽  
Muscle Mass ◽  
Body Mass ◽  
Care Center ◽  
Linear Regression Analysis ◽  
Tertiary Care ◽  
Reference Population ◽  
Diabetic Patients ◽  
Age Related ◽  
Increased Risk

Background: Sarcopenia is a disorder causing age-related loss of muscle mass. Its multifaceted nature has been linked to an increased risk of disability and mortality. Equally, obesity is a well-known risk factor for a host of disorders. A combination of sarcopenia and obesity in elderly diabetics can synergistically lead to increased insulin resistance and risk of metabolic syndrome. This study aimed to identify the association between sarcopenia and obesity in elderly diabetic patients by a cost-effective anthropometric method. Methods: A case-control study was conducted from January 2016 to April 2016 at Dr. B. R. Ambedkar Medical College in Bangalore. Height, weight, mid-arm circumference, and triceps skin fold thickness of 112 diabetic patients and 131 healthy adults were measured. Descriptive statistical analysis and multiple linear regression analysis were carried out. Results: 26.8% of male and 76.8% of female diabetic patients were obese (body mass index ≥25 kg/m2). Incidence of sarcopenia (muscle mass one standard deviation smaller than healthy reference population, cut-off value for diabetic males being <9.79 kg/m2 and for diabetic females <8.53 kg/m2) were 12.5% in male diabetic patients and 5.4% in female diabetic patients. Conclusion: Sarcopenia and obesity are co-morbid illnesses which can cause functional and metabolic impairments in elderly diabetic patients. There exists a moderate association between muscle mass and body mass index. Loss of muscle strength (dynapenia), rather than loss of muscle mass (sarcopenia), is closely associated with disabilities in these patients.

scholarly journals Relationship between fasting blood glucose and body mass index among students of a medical college

2019 ◽  
pp. 23
Author(s):  
Saritha Susan Vargese ◽  
T.M. Joseph ◽  
E. Mathew
Keyword(s):  
Body Mass Index ◽  
Blood Glucose ◽  
Body Mass ◽  
Teaching Hospital ◽  
Tertiary Care ◽  
Fasting Blood Glucose ◽  
Tertiary Care Teaching Hospital ◽  
Care Teaching ◽  
Increased Risk ◽  
Study Participants

Background: Obesity is one of the most important modifiable risk factors in the pathogenesis of lifestyle diseases like atherosclerosis, hypertension and type 2 diabetes mellitus. Overweight or obese adolescents are at an increased risk of developing diabetes and hypertension in future. A study was done to determine the relationship between body mass index and fasting blood glucose among students of a tertiary care teaching hospital. Materials and methods: A cross sectional analytical study was carried out among all medical students in a tertiary care teaching hospital in Kerala who consented to participate after obtaining approval from Institutional Research and Ethics Committee. The study tools used were standardized weighing machine, stadiometer, Accu-check glucometer and strips, disposable needles and pre-designed questionnaire. Results: Among the 254 study participants, 67% were females. The prevalence of impaired fasting glucose is 18.11% in the study population. No significant correlation was found between fasting blood glucose and body mass index. There was an increase in median FBS as the BMI increases, though not statistically significant (p=0.08). In the linear regression model, the statistic R2 explains that 7.9% of the variability in fasting blood glucose is explained by body mass index. Conclusion: The prevalence of prediabetes among the study participants was very high and it was higher among those who were overweight. The need of the hour is to identify the high-risk group in the community right from the young age and initiate trials or intervention studies to prevent or delay the onset of diabetes.

Association of Body Mass Index and Waist to Hip Ratio With Gallstone Disease in Patients Visiting Rural Tertiary Care Center in North India

2020 ◽  
pp. 155335062095058
Author(s):  
Pushpendra Malik ◽  
Deepak Singla ◽  
Mahinder K Garg ◽  
Mukesh Sangwan
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Care Center ◽  
Gallstone Disease ◽  
Tertiary Care ◽  
Gall Stone ◽  
North India ◽  
Daily Routine ◽  
Waist To Hip Ratio ◽  
South Indian

Introduction. In India the prevalence of gall stone disease varies in different parts of India. Malhotra in 1996 conducted an epidemiological study in Indian Railway employees and showed that North Indians has 7 times higher prevalence of gall stones compared to South Indian employees. It is said that Gall bladder is a disease of “Fatty, Fertile, Females in their Forties”. In our daily routine we observe that it is found not only in fatty females but common in average built patients also. Material and Methods. Study includes patients visiting to BPS GMC Khanpur Kalan with diagnosis of gall stone diseases and operated at our center with sample size of 135. Body mass index (BMI) and Waist to Hip ratio are calculated using their standard formulas. All data was compiled in IBM SPSS statistics (20.0). Result. Normal BMI is considered up to 25 and more than 50% patients lie in normal BMI range. Only 13% of cases lie in obese group that is BMI greater than 30. Waist to hip ratio, maximum patients that is BMI greater than 30. Waist to hip ratio, maximum patients that is (83%) lie in group more than 0.85. Minimum Waist to Hip ratio is .77 and maximum Waist to Hip ratio is 1.45. Out of 135 patients 90 patients are having high Waist to Hip ratio. Conclusion. Waist to Hip Ratio (abdominal adiposity) is better indicator of Gall stone diseases than BMI.

Relationship between body mass index and ischaemic stroke in Chinese elderly hypertensive patients

2020 ◽  
pp. postgradmedj-2019-137457
Author(s):  
Jiayi Huang ◽  
Lin Liu ◽  
Yu-Ling Yu ◽  
Chao-Lei Chen ◽  
Kenneth Lo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Ischaemic Stroke ◽  
Body Mass ◽  
Interaction Analysis ◽  
Diabetic Patients ◽  
Chinese Elderly ◽  
Hypertensive Patients ◽  
Increased Risk ◽  
Elderly Hypertensive ◽  
Elderly Hypertensive Patients

BackgroundDespite obesity being a major risk factor for ischaemic stroke (IS), the association between body mass index (BMI) and IS in patients with hypertension remains uncertain.ObjectiveTo assess the association between BMI and IS among elderly hypertensive patients in China.Methods and resultsWe recruited 3500 hypertensive patients aged ≥60 between 1 January 2010 and 31 December 2011 in China and ascertained their stroke status until December 2016. Multivariate Cox regression was used to evaluate the association between BMI and IS with interaction tests for exposure and covariates. A total of 3315 subjects (mean age 71.41±7.20 years, 44.5% were men) were included for data analysis. During an average follow-up period of 5.5 years, there were 206 onset cases (6.21%) of IS. When BMI was treated as a continuous variable, it was positively associated with the incidence of new onset IS (HR=1.14; 95% CI: 1.05 to 1.34; p=0.005) after adjusting for potential confounders. Meanwhile, when BMI was treated as a categorical variable, the highest category (≥28 kg/m2) was strongly associated with an increased risk for IS compared with normal BMI category (18.5 to 24 kg/m2) (HR=1.36, 95% CI: 1.09 to 1.80; p<0.001) in the fully adjusted model. Subgroup and interaction analysis also demonstrated that BMI independently associated with IS among males, smokers, alcohol drinkers, diabetic patients, people with uncontrolled blood pressure, decreased estimated glomerular filtration rate and those aged ≥70 years.ConclusionBMI was significantly associated with IS and was an independent risk of IS in Chinese elderly hypertensive patients.

scholarly journals Impact of body mass index on critically ill COVID-19 patients admitted in a tertiary care hospital : a retrospective observational study

2022 ◽  
Vol 13 (1) ◽  
pp. 3-7
Author(s):  
Savita Gupta ◽  
Varun Goel ◽  
Nazia Nazir ◽  
Saurabh Srivastava ◽  
Anurag Srivastava
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Health Care Organization ◽  
Tertiary Care ◽  
Normal Weight ◽  
Care Organization ◽  
Care Hospital ◽  
Predisposing Factor ◽  
Obesity Class ◽  
Increased Risk

Background: Increased body mass index (BMI) is a known risk factor for respiratory infection and is being recognized as a predisposing factor in the COVID‐19 pandemic caused by the severe acute respiratory syndrome coronavirus‐2. Aims and Objectives: This study aimed to assess the association between different body mass index categories with severe COVID-19 patients leading to death. Materials and Methods: This retrospective study of six months included the laboratory-confirmed COVID-19 patients admitted to an ICU of a tertiary care academic health care organization. The medical records were reviewed at least 14 days after admission.  Results: 484 patients were included, and BMI data were available for 306 patients. 40.19% had a normal weight, 26.79% were overweight, 17.97% had BMI 30-34.9 Kg/m2 and 15.03% had BMI ≥ 35 Kg/m2. Overall, 58 patients (18.95%) died within 14 days of ICU admission, 50.98% were discharged alive or referred from the hospital within 14 days, and 30.06% remained hospitalized at 14 days. After controlling for all covariates, there was a significantly increased risk of mortality in the patients with obesity class I (RR 2.03, 95% CI 1.07-3.85, P = 0.030) and patients with obesity class II & III (RR 2.83, 95% CI 1.54–5.22, P <0.001) compared with those with normal BMI. Conclusions: Obesity was associated with an unfavorable outcome among patients with COVID-19. Patients with obesity should be more closely monitored when hospitalized for COVID-19 as there is increasing evidence of relation of severity of COVID-19 and obesity which appears to be a factor in the health risks.

scholarly journals The study of correlation between Body Mass Index and glycemic control-HbA1c in diabetes type 2 patients

2019 ◽  
Vol 6 (6) ◽  
pp. 1788
Author(s):  
Rakesh K. Sisodia ◽  
Mahendra Chouhan
Keyword(s):  
Body Mass Index ◽  
Glycaemic Control ◽  
Body Mass ◽  
Normal Weight ◽  
Diabetic Patients ◽  
Poor Glycaemic Control ◽  
Risk Of Death ◽  
Increased Risk ◽  
Type 2 Diabetic

Background: Obesity has major adverse effects on health. Obesity is associated with an increase in mortality, with a 50-100% increased risk of death from all causes compared to normal-weight individuals, mostly due to cardiovascular causes. The aim of this study was to correlate Body Mass Index (BMI) and glycaemic control (HbA1c) in type 2 Diabetic patients.Methods: In this study 100 patients of type 2 diabetic were subjected to detailed history, clinical examination, BMI, HbA1c and routine biochemical investigations.Results: Out of 100 diabetic patients included in this study 62 of them were male and 38 were female. Among 100 patients. Majority of patients were overweight (BMI 25-29.9) which is account to about 58 of total cases, 30 patients were normal BMI and 12 patients were obese. Statistical analysis a positive correlation found between BMI and poor glycaemic control (HbA1c), which is significant.Conclusions: From this study it was concluded that obesity (BMI) is associated with poor glycaemic control.

scholarly journals Prevalence of Obesity in Inguinal Hernia Repair Patients in a Tertiary Care Center

2021 ◽  
Vol 59 (234) ◽  
Author(s):  
Sundar Shrestha ◽  
Pramod Kumar Upadhyay
Keyword(s):  
Body Mass Index ◽  
Inguinal Hernia ◽  
Hernia Repair ◽  
Inguinal Hernia Repair ◽  
Body Mass ◽  
Care Center ◽  
Tertiary Care ◽  
Body Mass Index Category ◽  
Tertiary Care Center ◽  
Prevalence Of Obesity

Introduction: Inguinal hernia is a common surgical problem, with a lifetime risk of 27% in men and 3% in women. Its cumulative incidence is 17.2% and 12.3% in body mass index of <25 kg/m2 and 25–30 kg/m2 respectively. Obesity had been regarded as the risk factor for the development of an inguinal hernia. However, recent epidemiologic studies have suggested the decreased prevalence of inguinal hernia in increased weight and body mass index individuals. The aim of this study is to find out the prevalence of obesity in inguinal hernia repair patients in a tertiary care center. Methods: A descriptive cross-sectional observational study was performed in Bir Hospital from May 2018 to December 2019 after taking ethical approval from the institutional review board of NAMS. Convenient sampling was done with a sample size of 219. Statistical analysis was done using SPSS ver. 23 and Microsoft Excel software by descriptive statistics. Results: The mean body mass index was 22.10 ±3.07 kg/m2. Body mass index Category 18.5 – 22.9 kg/m2 had 133 (61%) male and seven (3.2%) female patients, category ≥30 kg/m2 had four (1.8%) male. Most of inguinal hernia repair patients were farmers 158 (72.5%). Common risk factors noted were smoking 142 (65.1%), heavy work 112 (51.4%), chronic cough 65 (29.8%). Most of the complications occurred in the normal body mass index category and the prevalence of complications decreased as the body mass index increased. The recurrence was found in 3 (1.4%) inguinal hernia repairs. Conclusions: The majority of inguinal hernia repair patients were non-obese, and complications were less in obese patients.

scholarly journals Leptin and Lipid Profile in Overweight Patient with Type 1 Diabetes

2017 ◽  
Vol 5 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Soha M. Abd El Dayem ◽  
Mona Abd El Kader ◽  
Soheir Ibrahim ◽  
Enas Mokhtar ◽  
Eman Abd El Megeed
Keyword(s):  
Body Mass Index ◽  
Type 1 Diabetes ◽  
Lipid Profile ◽  
Body Mass ◽  
Glycosylated Haemoglobin ◽  
The Body ◽  
Diabetic Patients ◽  
Hip Circumference ◽  
Increased Risk

AIM: To evaluate leptin and lipid profile in overweight patients with type 1 diabetes.PATIENTS AND METHODS: The study included 50 overweight patients with type 1 diabetes and 50 age and sex matched healthy controls. Blood samples were taken for evaluation of glycosylated haemoglobin, lipid profile and leptin. Also, urine samples were taken for evaluation of albumin/creatinine ratio.RESULTS: Leptin level was significantly lower in overweight with type 1 diabetes and showed a significant positive correlation with hip circumference and body mass index and negative correlation with glycosylated haemoglobin (HbA1c). Leptin level was significantly lower in overweight diabetic patients with HbA1c > 7.5 %. The best cut-off point between overweight diabetic group and control group regarding leptin levels was found at 16.9 (ng/ml) with a sensitivity of 68% and specificity of 56%, area under the curve 0.623.CONCLUSION: Leptin levels were found to be low in overweight patients with type 1 diabetes and showed correlation with the body mass index and hip circumference. LDL was significantly higher while HDL was significantly lower in the diabetic, overweight group indicating increased risk of cardiovascular disease. Leptin level in overweight diabetic patients might be related to the metabolic control.

Body mass index at mCRPC, weight change, and survival in advanced prostate cancer.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 270-270
Author(s):  
Lydia D. Chow ◽  
Elisa M. Ledet ◽  
Allie E. Steinberger ◽  
Jeffrey R. Guccione ◽  
A. Oliver Sartor
Keyword(s):  
Prostate Cancer ◽  
Body Mass Index ◽  
Overall Survival ◽  
Linear Regression ◽  
Body Mass ◽  
Cancer Progression ◽  
Weight Change ◽  
Linear Regression Analysis ◽  
Increased Risk ◽  
Significant Difference

270 Background: Body mass index (BMI) at diagnosis is associated with increased risk of fatal prostate cancer, but the link between BMI at mCRPC and cancer progression is less clear. Cachexia, often defined as involuntary weight loss > 5% over 6 months, is common in advanced cancers. The goal of this study was to examine the link between BMI at mCRPC and weight change as it relates to cancer progression, the outcomes of survival, and treatment use in a single-institution setting. Methods: 58 mCRPC patients treated at Tulane Hospital were identified, 41 of whom had an overweight BMI at mCRPC (BMI > 25) and 17 with normal BMI at mCRPC (BMI < 25). All patients had a confirmed prostate cancer death. Survival, treatment history, and percent weight change were compared according to BMI status. Rate of percent weight change was defined as the change in weight per day, from date of mCRPC diagnosis to the last treatment stop date or death date (“mCRPC days”). Linear regression, overall survival (OS), and nonparametric analyses were performed. Results: There was no significant difference between the normal and overweight BMI groups in overall survival, from date of diagnosis to death (median = 1835 days vs. 2710 days respectively). Additionally, the difference in survival from mCRPC to death was not statistically significant (median = 630 days vs. 799 days, p = 0.115). Use of Taxotere was not significantly different (47% vs. 68% respectively); however, overweight patients (n = 28) more likely received Abiraterone than normal BMI patients (n = 2) (p-value = 0.0001). The rate of percent weight change was significantly different for normal and overweight patients (mean = –0.050%/day vs. –0.019%/day, p = 0.003). Linear regression analysis showed that mCRPC days had a significant effect on percent weight change (p = 0.0109), and this effect was not significantly different between BMI groups (p = 0.6991). Conclusions: Survival after mCRPC was not significantly different between BMI groups. We observed a significant effect of mCRPC days on percent weight change, with a similar effect for both BMI groups. This outcome is expected, as more time would allow for greater weight changes to occur. Larger studies are needed to fully evaluate these observations.

scholarly journals Betel Nut Chewing and Subclinical Ischemic Heart Disease in Diabetic Patients

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Chin-Hsiao Tseng
Keyword(s):  
Body Mass Index ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Body Mass ◽  
Ischemic Heart ◽  
Diabetic Patients ◽  
Betel Nut ◽  
Type 2 Diabetic Patients ◽  
Increased Risk ◽  
Betel Nut Chewing

Background. This study investigated the association between betel nut chewing and subclinical ischemic heart disease (IHD) in Taiwanese type 2 diabetic patients.Methods. A total of 394 male patients aging≥45 years and without previous heart disease were studied. Among them 349 had no habit of chewing betel nut and 45 possessed the habit for≥5 years. Subclinical IHD was diagnosed by a Minnesota-coded resting electrocardiogram and was present in 71 cases. Statistical analyses were performed considering confounding effects of age, diabetic duration, smoking, body mass index, blood pressure, dyslipidemia, and metabolic control status.Results. Betel nut chewers were younger and had higher prevalence of smoking (86.7% versus 60.5%), higher body mass index, poorer glycemic control, and higher prevalence of subclinical IHD (28.9% versus 16.6%). Patients with subclinical IHD were older and had higher prevalence of betel nut chewing (18.0% versus 9.9%). The multivariate-adjusted odds ratio for subclinical IHD for chewers versus nonchewers was 4.640 (1.958–10.999). The adjusted odds ratios in younger or older patients divided by the median age of 63 years were similar: 4.724 (1.346–16.581) and 4.666 (1.278–17.028), respectively.Conclusions. Betel nut chewing is significantly associated with increased risk of subclinical IHD.

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