Literature DB >> 31182401

Validation of Self-Reported Anthropometric Measures and Body Mass Index in a Subcohort of the DianaWeb Population Study.

Milena Villarini1, Mattia Acito1, Vincenza Gianfredi2, Franco Berrino3, Giuliana Gargano4, Matteo Somaini5, Daniele Nucci6, Massimo Moretti7, Anna Villarini8.   

Abstract

INTRODUCTION: DianaWeb is a community-based participatory project open to Italian breast cancer patients. The aim of the study was to assess the effectiveness of a lifestyle intervention in improving the prognosis after patients received diagnosis and surgery/chemotherapy. The DianaWeb study uses an interactive Web site (www.dianaweb.org) to monitor patients' lifestyles, and to obtain clinical and anthropometric data. Although detailed instructions for measuring height, body weight, waist circumference, and blood pressure (BP) are provided, individuals might tend to overestimate or underestimate those parameters. The aims of the present study were: (1) to compare self-recorded data with those from standardized ambulatory measurements; (2) to determine the trueness of a subject classification in the overweight/obesity or hypertensive subgroup on the basis of the patients' own measurements and estimates; and (3) to identify confounding variables. PATIENTS AND METHODS: We compared self-reported with ambulatory measurements in a subgroup of 200 randomly selected women of approximately 1000 enrolled in the DianaWeb study (from September 2016 to March 2018).
RESULTS: Bland-Altman analysis showed a close agreement for self-reported and ambulatory-measured height, weight, and body mass index (BMI). On the contrary, women overestimated waist circumference and underestimated BP. Cohen κ statistics showed fair agreement only for hypertension. Binary logistic regression analysis showed that BMI and diastolic BP self-measurements were biased according to age.
CONCLUSION: The results suggest that self-reported height, weight, and BMI are satisfactorily accurate for patients in the DianaWeb study, such as accuracies of overweight/obese and central obesity classification, and that these data can be useful for our research.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; CBRP; Community-based participatory research; Lifestyle prescriptions; Prevention

Mesh:

Year:  2019        PMID: 31182401     DOI: 10.1016/j.clbc.2019.04.008

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  7 in total

1.  Agreement between self-reported and researcher-measured height, weight and blood pressure measurements for online prescription of the combined oral contraceptive pill: an observational study.

Authors:  Hannah McCulloch; Alessandra Morelli; Caroline Free; Jonathan Syred; Riley Botelle; Paula Baraitser
Journal:  BMJ Open       Date:  2022-05-24       Impact factor: 3.006

2.  Use and reporting of Bland-Altman analyses in studies of self-reported versus measured weight and height.

Authors:  Katherine M Flegal; Barry Graubard; John P A Ioannidis
Journal:  Int J Obes (Lond)       Date:  2019-12-02       Impact factor: 5.095

Review 3.  Enhancing Self-Esteem and Body Image of Breast Cancer Women through Interventions: A Systematic Review.

Authors:  Lucía Morales-Sánchez; Violeta Luque-Ribelles; Paloma Gil-Olarte; Paula Ruiz-González; Rocío Guil
Journal:  Int J Environ Res Public Health       Date:  2021-02-09       Impact factor: 3.390

4.  Quantitative prediction error analysis to investigate predictive performance under predictor measurement heterogeneity at model implementation.

Authors:  Kim Luijken; Jia Song; Rolf H H Groenwold
Journal:  Diagn Progn Res       Date:  2022-04-07

Review 5.  Altered Food Behavior and Cancer: A Systematic Review of the Literature.

Authors:  Daniele Nucci; Omar Enzo Santangelo; Sandro Provenzano; Mariateresa Nardi; Alberto Firenze; Vincenza Gianfredi
Journal:  Int J Environ Res Public Health       Date:  2022-08-18       Impact factor: 4.614

6.  Accuracy of self-reported BMI using objective measurement in high school students.

Authors:  Chelsea Allison; Sarah Colby; Audrey Opoku-Acheampong; Tandalayo Kidd; Kendra Kattelmann; Melissa D Olfert; Wenjun Zhou
Journal:  J Nutr Sci       Date:  2020-08-12

7.  Patient-reported outcome measures obtained via E-Health tools ease the assessment burden and encourage patient participation in cancer care (PaCC Study).

Authors:  Nicole Erickson; T Schinkoethe; C Eckhardt; L Storck; A Joos; L Liu; P E Ballmer; F Mumm; T Fey; V Heinemann
Journal:  Support Care Cancer       Date:  2021-06-22       Impact factor: 3.603

  7 in total

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