Nutritional Habits and Body Mass Index in the Elderly Population: Can This Information Be Useful Before Planning Chemotherapy Administration in Older Cancer Patients?

2008 ◽  
Vol 60 (4) ◽  
pp. 552-554
Author(s):  
Silvio Monfardini ◽  
Umberto Basso ◽  
Giuseppe Sergi ◽  
Lazzaro Repetto ◽  
Paolo Santurri ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cancer Patients ◽  
Body Mass ◽  
Elderly Population ◽  
The Elderly ◽  
Nutritional Habits ◽  
Chemotherapy Administration ◽  
Older Cancer Patients

scholarly journals Body mass index, waist-hip ratio and risk of chronic medical condition in the elderly population: results from the Well-being of the Singapore Elderly (WiSE) Study

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Restria Fauziana ◽  
Anitha Jeyagurunathan ◽  
Edimansyah Abdin ◽  
Janhavi Vaingankar ◽  
Vathsala Sagayadevan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Elderly Population ◽  
Medical Condition ◽  
Well Being ◽  
The Elderly ◽  
Chronic Medical Condition ◽  
Waist Hip Ratio

Treatment and mortality rates of older cancer patients with a body mass index <20: Results from the IN-GHO registry.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 9114-9114
Author(s):  
Friedemann Honecker ◽  
Ulrich Wedding ◽  
Klaus Rettig ◽  
Susanne Huschens ◽  
Carsten Bokemeyer ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cancer Patients ◽  
Body Mass ◽  
Positive Association ◽  
Population Data ◽  
Early Mortality ◽  
The Internet ◽  
High Risk Population ◽  
Older Cancer Patients ◽  
Low Bmi

9114 Background: Older cancer patients (pts) compose a heterogeneous population. Data from clinical trials are limited, and little is known about treatment decisions and outcomes. The internet based IN-GHO registry prospectively collects data of cancer pts ≥ 70 years from >100 centers in Germany and Austria. Methods: Data from 1.563 cancer pts were analysed, comparing results between pts with a body mass index (BMI) <20 versus (vs) BMI ≥20 by Chi-square or Mann-Whitney U test. Analyses included results from a comprehensive geriatric assessment, physicians’ rating (fit vs compromised vs frail) and pts’ self rating of fitness for treatment (Likert scale 1= very fit to 6 = very unfit), type (combination vs. monotherapy vs no) and dosage of treatment (full vs adapted), as well as mortality within 5-7 months. Results: Mean BMI of the total cohort was 25.6. 119 (7.6%) pts had a BMI <20. Low BMI showed a positive association with female sex, small height, higher age (classified), adapted dosage of treatment, lower number of comedication, lower ADL, IADL, and Karnofsky index scores, reduced mobility, and a lower mean MMSE score. More pts with BMI <20 were judged compromised or frail, both by physicians’ or pts’ assessment (p<0.001 and p=0.038, respectively). The risk of early mortality was 1.5 fold increased in pts with low BMI compared to pts with BMI ≥20 (35.3% vs 22.3%, p=0.002). Interestingly, none of the following showed an association with lower BMI: comorbidity, type (hematologic vs solid neoplasia), stage (metastatic vs non-metastatic), time since first diagnosis, decision to apply chemotherapy, and curative vs palliative intention of treatment. Conclusions: The internet based registry is useful to gain data on prognostic factors, treatment, and outcome in older cancer pts. Significant differences regarding dosage of treatment and incidence of early mortality were found between pts with BMI <20 and pts with BMI ≥20. Elderly cancer pts with BMI <20 should be considered a high risk population.

scholarly journals Higher Body Mass Index is an Important Risk factor in COVID-19 patients: A Systematic Review

2020 ◽  
Author(s):  
Vivek Singh Malik ◽  
Ravindra Khaiwal ◽  
Savita Verma Attri ◽  
Sanjay Kumar Bhadada ◽  
Meenu Singh
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Elderly Population ◽  
Case Reports ◽  
Case Series ◽  
The Elderly ◽  
Metabolic Dysfunction ◽  
Language Restriction ◽  
Novel Coronavirus

Background: Globally, both obesity and underweight are severe health risks for various diseases. The current study systematically examines the emerging evidence to identify an association between Body Mass Index (BMI) and COVID-19 disease outcome. Methods: Online literature databases (e.g., Google Scholar, PubMed, MEDLINE, EMBASE, Scopus, Medrixv and BioRixv) were screened following standard search strategy having the appropriate keyword such as Obesity, Underweight, BMI, Body Mass Index, 2019-nCov, COVID-19, novel coronavirus, coronavirus disease. Studies published till 20th April 2020 were included without language restriction. These studies include case reports, case series, cohort, and any other which reported BMI, overweight/obesity or underweight, and its complication with COVID-19 disease. Findings: Obesity plays a significant part in the pathogenesis of COVID-19 patients, though the role of BMI in the COVID-19 pandemic must not be ignored. Interpretation: Consequences of inflammation of adipose tissue has been reported as a leading cause of insulin resistance and hypertension due to metabolic dysfunction. The results of the current study show that BMI plays a significant role in COVID-19 severity in all ages, especially the elderly population. A panel should review COVID-19 patients with higher BMI and other co-morbidities, and they should be given increased vigilance, testing priority, and therapy. Further, the COVID-19 patients whose illness entered 7-10 days, age >50 yrs, and elevated CRP levels should have additional medical considerations. Recommendation: Population and patients with high BMI have moderate to high risk of medical complications with COVID-19, and hence their health status should be monitored more frequently. Keywords: Age, BMI, COVID-19, Obesity.

scholarly journals Prevention of Advanced Cancer by Vitamin D3 Supplementation: Interaction by Body Mass Index Revisited

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1408
Author(s):  
Hermann Brenner ◽  
Sabine Kuznia ◽  
Clarissa Laetsch ◽  
Tobias Niedermaier ◽  
Ben Schöttker
Keyword(s):  
Body Mass Index ◽  
Vitamin D ◽  
Cancer Patients ◽  
Body Mass ◽  
Advanced Cancer ◽  
Vitamin D3 ◽  
Normal Weight ◽  
The Body ◽  
Published Data ◽  
Vitamin D3 Supplementation

Meta-analyses of randomized controlled trials (RCTs) have demonstrated a protective effect of vitamin D3 (cholecalciferol) supplementation against cancer mortality. In the VITAL study, a RCT including 25,871 men ≥ 50 years and women ≥ 55 years, protective effects of vitamin D3 supplementation (2000 IU/day over a median of 5.3 years) with respect to incidence of any cancer and of advanced cancer (metastatic cancer or cancer death) were seen for normal-weight participants but not for overweight or obese participants. We aimed to explore potential reasons for this apparent variation of vitamin D effects by body mass index. We conducted complementary analyses of published data from the VITAL study on the association of body weight with cancer outcomes, stratified by vitamin D3 supplementation. Significantly increased risks of any cancer and of advanced cancer were seen among normal-weight participants compared to obese participants in the control group (relative risk (RR), 1.27; 95% confidence interval (CI), 1.07–1.52, and RR, 1.44; 95% CI, 1.04–1.97, respectively). No such patterns were seen in the intervention group. Among those with incident cancer, vitamin D3 supplementation was associated with a significantly reduced risk of advanced cancer (RR, 0.86; 95% CI, 0.74–0.99). The observed patterns point to pre-diagnostic weight loss of cancer patients and preventive effects of vitamin D3 supplementation from cancer progression as plausible explanations for the body mass index (BMI)—intervention interactions. Further research, including RCTs more comprehensively exploring the potential of adjuvant vitamin D therapy for cancer patients, should be pursued with priority.

Importance of body composition in grading body mass index and weight loss-related nutritional risk in cancer patients

2020 ◽  
Vol 40 ◽  
pp. 550-551
Author(s):  
E. Cereda ◽  
F. Lobascio ◽  
S. Masi ◽  
S. Crotti ◽  
S. Cappello ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Body Composition ◽  
Cancer Patients ◽  
Body Mass ◽  
Nutritional Risk

Body mass index and mortality in prostate cancer patients: a dose–response meta-analysis

2016 ◽  
Vol 19 (2) ◽  
pp. 122-131 ◽  
Author(s):  
S Zhong ◽  
X Yan ◽  
Y Wu ◽  
X Zhang ◽  
L Chen ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Body Mass Index ◽  
Cancer Patients ◽  
Body Mass ◽  
Dose Response ◽  
Meta Analysis

To Determine the Prevalence of Obesity in Breast Cancer Patients

2021 ◽  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Cancer Patients ◽  
Body Mass ◽  
Tertiary Care ◽  
Overweight And Obesity ◽  
World Health ◽  
Care Hospital ◽  
Breast Cancer Patients ◽  
Prevalence Of Obesity

Background: Breast Cancer is one of the leading causes of death worldwide. Pakistan alone has the highest rate of Breast Cancer than any other Asian country as approximately 90000 new cases are diagnosed every year out of which 40000 dies. Obesity is also a critical public health problem growing with every passing year in Pakistan and worldwide. Research studies are being conducted worldwide regarding the relation between the two problems. Objective: The objective of this study is to determine the prevalence of obesity in breast cancer patients in a tertiary care hospital in Karachi, Pakistan. Methods: BMI is used as a screening tool for overweight and obesity. According to World Health Organization, a body mass index (BMI) over 25 is considered overweight, and over 30 is obese. A retrospective analysis of 262 patients diagnosed with Breast Cancer during 2019 and 2020 was performed. Patients’ hospital records in Oncology were reviewed. The weight in kilograms and height in centimeters of patients were reviewed. Their BMI was calculated and recorded using the SPSS system. Results: The median BMI was 28.25 kg/m2 with an interquartile range of 25.15 - 31.99 kg/m2. Nearly 80% of the study participants had body mass index higher than normal levels (n=203, 77.5%) and out of them approximately half were overweight (n=104, 51.2%) and the remaining were obese (n=99, 48.7%). Conclusion: We conclude from our study that body mass index is positively correlated with breast cancer occurrence and thus the proportion of females having BMI >= 25 was significantly higher among patients.

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