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BMI mortality death cancer overweight obesity

Arjun Gupta, Avash Das, Kaustav Majumder, Nivedita Arora, Helen G Mayo, Preet P Singh, Muhammad S Beg, Siddharth Singh
OBJECTIVE: Excess body weight is associated with increased risk of developing hepatocellular cancer (HCC), but its effect on HCC-related mortality remains unclear. We performed a systematic review and meta-analysis to assess the association between premorbid obesity and HCC-related mortality. MATERIALS AND METHODS: Through a systematic literature search-up to March 2016, we identified 9 observational studies (1,599,453 individuals, 5705 HCC-related deaths) reporting the association between premorbid body mass index (BMI), and HCC-related mortality...
May 23, 2017: American Journal of Clinical Oncology
Li-Wei Wu, Yuan-Yung Lin, Tung-Wei Kao, Chien-Ming Lin, Chung-Ching Wang, Gia-Chi Wang, Tao-Chun Peng, Wei-Liang Chen
Epidemiological studies have shown that mid-arm circumference (MAC) can be used to predict death risk and malnutrition. We performed a retrospective observational study involving 11,958 US participants aged 20-90 years from the National Health and Nutrition Examination Survey III, 1988-1994, to determine the correlation between MAC and all-cause, cardiovascular, and cancer mortality risk in the obese and non-obese population. Death certificate data were obtained up to 2006. The participants were divided into three groups on the basis of body mass index: 19 ≤ BMI < 25 kg/m(2) (normal weight group), 25 ≤ BMI < 30 kg/m(2) (overweight group) and BMI ≥ 30 kg/m(2) (obesity group); each group was then divided into three subgroups depending on their MAC level...
May 23, 2017: Scientific Reports
Bette J Caan, Jeffrey A Meyerhardt, Candyce H Kroenke, Stacey Alexeeff, Jingjie Xiao, Erin Weltzien, Elizabeth Cespedes Feliciano, Adrienne L Castillo, Charles P Quesenberry, Marilyn L Kwan, Carla M Prado
Background: Body composition may partially explain the U-shaped association between body mass index (BMI) and colorectal cancer survival.Methods: Muscle and adiposity at colorectal cancer diagnosis and survival were examined in a retrospective cohort using Kaplan-Meier curves, multivariable Cox regression, and restricted cubic splines in 3,262 early-stage (I-III) male (50%) and female (50%) patients. Sarcopenia was defined using optimal stratification and sex- and BMI-specific cut points. High adiposity was defined as the highest tertile of sex-specific total adipose tissue (TAT)...
May 15, 2017: Cancer Epidemiology, Biomarkers & Prevention
Bryant R England, Joshua F Baker, Harlan Sayles, Kaleb Michaud, Liron Caplan, Lisa A Davis, Grant W Cannon, Brian C Sauer, E Blair Solow, Andreas M Reimold, Gail S Kerr, Ted R Mikuls
OBJECTIVES: To examine associations of body mass index (BMI) and weight loss with cause-specific mortality in rheumatoid arthritis (RA). METHODS: A cohort of U.S. Veterans with RA were followed until death or through 2013. BMI was categorized as underweight, normal, overweight, and obese. Weight loss was calculated as the: 1) annualized rate of change over the preceding 13 months and 2) cumulative percent. Vital status and cause of death were obtained from the National Death Index...
April 20, 2017: Arthritis Care & Research
Arjun Gupta, Kaustav Majumder, Nivedita Arora, Helen G Mayo, Preet Paul Singh, Muhammad S Beg, Randall Hughes, Siddharth Singh, David H Johnson
OBJECTIVES: We aimed to assess the association between premorbid obesity, measured using body mass index (BMI) and lung cancer-related mortality, through a systematic review and meta-analysis. MATERIALS AND METHODS: Observational studies reporting statistical measures of association between premorbid BMI categories and lung cancer-related mortality were included in our study. We estimated hazard ratios (aHR) with 95% confidence intervals (CI), comparing lung cancer-related mortality across BMI categories...
December 2016: Lung Cancer: Journal of the International Association for the Study of Lung Cancer
Hui Liu, Shouling Wu, Yun Li, Lixia Sun, Zhe Huang, Liming Lin, Yan Liu, Chunpeng Ji, Hualing Zhao, Chunhui Li, Lu Song, Hongliang Cong
AIMS: To investigate the association between body-mass index and mortality in Chinese adults T2DM. METHODS: 11,449 participants of Kailuan Study with T2DM were included in this prospective cohort study. All-cause mortality was calculated using Kaplan-Meier analysis. Cox proportional hazards analysis was used to estimate the association between BMI and mortality. RESULTS: During a mean follow-up period of 7.25±1.42years, 1254 deaths occurred...
October 17, 2016: Journal of Diabetes and its Complications
Nan Wang, Nikhil K Khankari, Hui Cai, Hong-Lan Li, Gong Yang, Yu-Tang Gao, Yong-Bing Xiang, Xiao-Ou Shu, Wei Zheng
The association of obesity on survival among patients with colorectal cancer (CRC) has not been well characterized. We investigated the association of prediagnostic body mass index (BMI)/waist-hip ratio (WHR) and total/cause-specific mortality in CRC patients. Our study included 1,452 patients who participated in two large cohort studies and were diagnosed with CRC during follow-up period. Participants were measured for anthropometrics and interviewed to collect relevant information at baseline, prior to any cancer diagnosis...
January 15, 2017: International Journal of Cancer. Journal International du Cancer
A C Vidal, L E Howard, S X Sun, M R Cooperberg, C J Kane, W J Aronson, M K Terris, C L Amling, S J Freedland
BACKGROUND: At the population level, obesity is associated with prostate cancer (PC) mortality. However, few studies analyzed the associations between obesity and long-term PC-specific outcomes after initial treatment. METHODS: We conducted a retrospective analysis of 4268 radical prostatectomy patients within the Shared Equal Access Regional Cancer Hospital (SEARCH) database. Cox models accounting for known risk factors were used to examine the associations between body mass index (BMI) and PC-specific mortality (PCSM; primary outcome)...
March 2017: Prostate Cancer and Prostatic Diseases
Ki-Chul Sung, Seungho Ryu, Jong-Young Lee, SungHo Lee, EunSun Cheong, Jang-Young Kim, Sarah H Wild, Christopher D Byrne
BACKGROUND: The aim was to investigate associations between underweight, overweight and obesity and all cause, cancer and cardiovascular disease (CVD) mortality, excluding subjects with known CVD, diabetes, hypertension and components of the metabolic syndrome (MetS) at baseline. METHODS: The study population consisted of examinees participating in a health screening in Korea from 2002 to 2013. Data were analyzed in 162,194 subjects (in a retrospective cohort study design-median (interquartile range (IQR) follow-up 4...
December 1, 2016: International Journal of Cardiology
Ngan Ming Tsang, Ping Ching Pai, Chi Cheng Chuang, Wen Ching Chuang, Chen Kan Tseng, Kai Ping Chang, Tzu Chen Yen, Jen Der Lin, Joseph Tung Chieh Chang
Recent studies conducted in patients with chronic diseases have reported an inverse association between body mass index (BMI) and mortality. However, the question as to whether BMI may predict prognosis in patients with metastatic cancer remains open. We therefore designed the current retrospective study to investigate the potential association between BMI and overall survival (OS) in patients with distant metastases (DM) and a favorable performance status. Between 2000 and 2012, a total of 4010 cancer patients with DM who required radiotherapy (RT) and had their BMI measured at the initiation of RT were identified...
April 2016: Cancer Medicine
Nam Hoon Kim, Juneyoung Lee, Tae Joon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Rodica Pop-Busui, Yousung Park, Sin Gon Kim
BACKGROUND: The association between body mass index (BMI) and mortality is not conclusive, especially in East Asian populations. Furthermore, the association has been neither supported by recent data, nor assessed after controlling for weight changes. METHODS: We evaluated the relationship between BMI and all-cause or cause-specific mortality, using prospective cohort data by the National Health Insurance Service in Korea, which consisted of more than one million subjects...
2015: PloS One
J M Genkinger, C M Kitahara, L Bernstein, A Berrington de Gonzalez, M Brotzman, J W Elena, G G Giles, P Hartge, P N Singh, R Z Stolzenberg-Solomon, E Weiderpass, H-O Adami, K E Anderson, L E Beane-Freeman, J E Buring, G E Fraser, C S Fuchs, S M Gapstur, J M Gaziano, K J Helzlsouer, J V Lacey, M S Linet, J J Liu, Y Park, U Peters, M P Purdue, K Robien, C Schairer, H D Sesso, K Visvanathan, E White, A Wolk, B M Wolpin, A Zeleniuch-Jacquotte, E J Jacobs
BACKGROUND: Body mass index (BMI), a measure of obesity typically assessed in middle age or later, is known to be positively associated with pancreatic cancer. However, little evidence exists regarding the influence of central adiposity, a high BMI during early adulthood, and weight gain after early adulthood on pancreatic cancer risk. DESIGN: We conducted a pooled analysis of individual-level data from 20 prospective cohort studies in the National Cancer Institute BMI and Mortality Cohort Consortium to examine the association of pancreatic cancer mortality with measures of central adiposity (e...
November 2015: Annals of Oncology: Official Journal of the European Society for Medical Oncology
Katharina Reichle, Raphael S Peter, Hans Concin, Gabriele Nagel
PURPOSE: Although obesity is a well-known risk factor for several cancers, its role on cancer survival is poorly understood. METHODS: Within the VHM&PP cohort, 8,673 cancer patients (42.2% women) were followed over a median time of 11.9 years. Cox proportional hazard models were used to estimate the association of pre-diagnostic overweight (BMI 25.0-29.9 kg/m(2)) and obesity (BMI ≥ 30.0 kg/m(2)) with all-cause and cancer-specific mortality. Cubic restricted splines were additionally modeled...
November 2015: Cancer Causes & Control: CCC
Julia Meyer, Sabine Rohrmann, Matthias Bopp, David Faeh
BACKGROUND: Smoking and excess body weight are major preventable risk factors for premature death. This study aimed at analyzing their single and combined association with site-specific cancer mortality. METHODS: Our study population comprised 35,784 men and women of ages 14 to 99 years, who participated in population-based health surveys conducted 1977-1993 in Switzerland and were followed up for mortality until 2008. Multivariable Cox proportional hazards models were calculated for different cancer sites, and population attributable fractions were derived...
October 2015: Cancer Epidemiology, Biomarkers & Prevention
Pierluigi Costanzo, John G F Cleland, Pierpaolo Pellicori, Andrew L Clark, David Hepburn, Eric S Kilpatrick, Pasquale Perrone-Filardi, Jufen Zhang, Stephen L Atkin
BACKGROUND: Whether obesity is associated with a better prognosis in patients with type 2 diabetes mellitus is controversial. OBJECTIVE: To investigate the association between body weight and prognosis in a large cohort of patients with type 2 diabetes followed for a prolonged period. DESIGN: Prospective cohort. SETTING: National Health Service, England. PATIENTS: Patients with diabetes. MEASUREMENTS: The relationship between body mass index (BMI) and prognosis in patients with type 2 diabetes without known cardiovascular disease at baseline was investigated...
May 5, 2015: Annals of Internal Medicine
C Yuan, Y Cao, J Chavarro, S Lindstrom, W Qiu, W Willett, A Hsing, A Kibel, B Rosner, M Stampfer, P Kra, J Ma
Few prospective studies have investigated the relationship between pre-diagnostic obesity, smoking and prostate cancer (PCa) survival by timing of measurement, by age at diagnosis, and evaluated the interaction between obesity and smoking. METHODS: We conducted a multinational survival analysis among 10,106 PCa cases (1,007 PCa deaths and 2,893 total deaths) from eight cohorts with an average of 8.2 years of follow up. Hazard ratio (HR) of PCa death was estimated using Cox proportional hazard model, adjusting for age, alcohol intake, diabetes status, cohort and duration between baseline and diagnosis and subsequently adjusted for tumor stage and grade...
April 2015: Cancer Epidemiology, Biomarkers & Prevention
Chang-Mo Oh, Jae Kwan Jun, Mina Suh
BACKGROUND: We investigated the risk of cancer mortality according to obesity status and metabolic health status using sampled cohort data from the National Health Insurance system. MATERIALS AND METHODS: Data on body mass index and fasting blood glucose in the sampled cohort database (n=363,881) were used to estimate risk of cancer mortality. Data were analyzed using a Cox proportional hazard model (Model 1 was adjusted for age, sex, systolic blood pressure, diastolic blood pressure, total cholesterol level and urinary protein; Model 2 was adjusted for Model 1 plus smoking status, alcohol intake and physical activity)...
2014: Asian Pacific Journal of Cancer Prevention: APJCP
Alpa V Patel, Janet S Hildebrand, Susan M Gapstur
Remaining controversies on the association between body mass index (BMI) and mortality include the effects of smoking and prevalent disease on the association, whether overweight is associated with higher mortality rates, differences in associations by race and the optimal age at which BMI predicts mortality. To assess the relative risk (RR) of mortality by BMI in Whites and Blacks among subgroups defined by smoking, prevalent disease, and age, 891,572 White and 38,119 Black men and women provided height, weight and other information when enrolled in the Cancer Prevention Study II in 1982...
2014: PloS One
Qian Xiao, Sarah K Keadle, Albert R Hollenbeck, Charles E Matthews
Both short and long durations of sleep are associated with higher mortality, but little is known about the interrelationship between sleep and other modifiable factors in relation to mortality. In the National Institutes of Health-AARP Diet and Health Study (1995-1996), we examined associations between sleep duration and total, cardiovascular disease (CVD), and cancer mortality among 239,896 US men and women aged 51-72 years who were free of cancer, CVD, and respiratory disease. We evaluated the influence of moderate-to-vigorous physical activity, television viewing, and body mass index (BMI; weight (kg)/height (m)(2)) on the sleep-mortality association and assessed their combined association with mortality...
November 15, 2014: American Journal of Epidemiology
N Scopinaro
According to the WHO, the worldwide prevalence of obesity body mass index (BMI) 30 kg/m² nearly doubled between 1980 and 2008, with 10% of men and 14% of women and a total of more than half a billion adults (aged >20 years old) being classed as obese. At least 2.8 million people die each year worldwide as a result of being overweight or obese, usually from the inevitable related comorbidities. It has been reported that approximately 65% of the worlds population inhabits countries where overweight and obesity are responsible for higher mortality than underweight...
August 2014: Rozhledy V Chirurgii: Měsíčník Československé Chirurgické Společnosti
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