scholarly journals The contribution of body mass index to appraisal delay in colorectal cancer diagnosis: a structural equation modelling study

2017 ◽  
Vol 116 (12) ◽  
pp. 1638-1642 ◽  
Author(s):  
Karen E Dyer ◽  
Levent Dumenci ◽  
Laura A Siminoff ◽  
Maria D Thomson ◽  
Jennifer Elston Lafata
Keyword(s):  
Colorectal Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Cancer Diagnosis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling ◽  
Modelling Study

scholarly journals Reconsidering the relationship between fast-food outlets, area-level deprivation, diet quality and body mass index: an exploratory structural equation modelling approach

2019 ◽  
Vol 73 (9) ◽  
pp. 861-866 ◽  
Author(s):  
Matthew Hobbs ◽  
Mark Green ◽  
Kath Roberts ◽  
Claire Griffiths ◽  
Jim McKenna
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Diet Quality ◽  
Structural Equation Modelling ◽  
Fast Food ◽  
Structural Equation ◽  
Food Outlet ◽  
Fast Food Outlet ◽  
Food Outlets ◽  
Equation Modelling

BackgroundInternationally, the prevalence of adults with obesity is a major public health concern. Few studies investigate the explanatory pathways between fast-food outlets and body mass index (BMI). We use structural equation modelling to explore an alternative hypothesis to existing research using area-level deprivation as the predictor of BMI and fast-food outlets and diet quality as mediators.MethodsAdults (n=7544) from wave II of the Yorkshire Health Study provided self-reported diet, height and weight (used to calculate BMI). Diet quality was based on sugary drinks, wholemeal (wholegrain) bread and portions of fruit and vegetables. Fast-food outlets were mapped using the Ordnance Survey Points of Interest within 2 km radial buffers around home postcode which were summed to indicate availability. Age (years), gender (female/male) and long-standing health conditions (yes/no) were included as covariates.ResultsThere was little evidence linking fast-food outlets to diet or BMI. An independent association between fast-food outlet availability and BMI operated counterintuitively and was small in effect. There was also little evidence of mediation between fast-food outlet availability and BMI. However, there was more evidence that area-level deprivation was associated with increased BMI, both as an independent effect and through poorer diet quality.ConclusionThis exploratory study offers a first step for considering complexity and pathways linking fast-food outlets, area-level deprivation, diet quality and BMI. Research should respond to and build on the hypothesised pathways and our simple framework presented within our study.

Impact of Body Mass Index on Survival After Colorectal Cancer Diagnosis: The Cancer Prevention Study-II Nutrition Cohort

2012 ◽  
Vol 30 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Peter T. Campbell ◽  
Christina C. Newton ◽  
Ahmed N. Dehal ◽  
Eric J. Jacobs ◽  
Alpa V. Patel ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Body Mass Index ◽  
Cancer Prevention ◽  
Body Mass ◽  
Cancer Diagnosis ◽  
Prevention Study ◽  
Risk Of Mortality ◽  
Incident Cancer ◽  
The Impact

Purpose The impact of body mass index (BMI) on survival after colorectal cancer diagnosis is poorly understood. This study assessed the association of pre- and postdiagnosis BMI with all-cause and cause-specific survival among men and women diagnosed with colorectal cancer in a prospective cohort. Patients and Methods Participants in the Cancer Prevention Study-II Nutrition Cohort reported weight and other risk factor information via a self-administered questionnaire at baseline in 1992 to 1993. Updated information on current weight and incident cancer was reported via periodic follow-up questionnaires. This analysis includes 2,303 cohort participants who were diagnosed with nonmetastatic colorectal cancer between baseline and mid 2007 and were observed for mortality from diagnosis through December 2008. Results A total of 851 participants with colorectal cancer died during the 16-year follow-up period, including 380 as a result of colorectal cancer and 153 as a result of cardiovascular disease (CVD). In analyses of prediagnosis BMI (weight reported at baseline in 1992 to 1993; mean, 7 years before colorectal cancer diagnosis), obese BMI (≥ 30 kg/m2) relative to normal BMI (18.5 to 24.9 kg/m2) was associated with higher risk of mortality resulting from all causes (relative risk [RR], 1.30; 95% CI, 1.06 to 1.58), colorectal cancer (RR, 1.35; 95% CI, 1.01 to 1.80), and CVD (RR, 1.68; 95% CI, 1.07 to 2.65). Postdiagnosis BMI (based on weight reported; mean, 1.5 years after diagnosis) was not associated with all-cause or cause-specific mortality. Conclusion This study suggests that prediagnosis BMI, but not postdiagnosis BMI, is an important predictor of survival among patients with nonmetastatic colorectal cancer.

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