The obesity paradox is present in cancer patients only when obesity is defined by BMI. Patients with sarcopenic obesity had the poorest prognosis. Cancer patients with high mortality risk can be identified by a body-composition assessment.

NCT01907347 ( http://www.clinicaltrials.gov ).

Background Low appendicular skeletal muscle mass (ASM) is associated with negative outcomes, but its assessment requires proper limb muscle evaluation. We aimed to verify how anthropometric circumferences are correlated to ASM and to develop new prediction equations based on calf circumference and other anthropometric measures, using dual‐energy X‐ray absorptiometry (DEXA) as the reference method. Methods DEXA and anthropometric information from 15,293 adults surveyed in the 1999–2006 NHANES were evaluated. ASM was defined by the sum of the lean soft tissue from the limbs. Anthropometric data included BMI and calf, arm, thigh, and waist circumferences. Correlations were assessed by Pearson's correlation, and multivariable linear regression produced 4 different ASM prediction equations. The concordance and the overall 95% limits of agreement between measured and estimated ASM were assessed using Lin's coefficient and Bland‐Altman's approach. Results Calf and thigh circumferences were highly correlated with ASM, independent of age and ethnicity. Among the models, the best performance came from the equation constituted solely by calf circumference, sex, race, and age as independent variables, which was able to explain almost 90% of the DEXA‐measured ASM variation. The inclusion of different anthropometric parameters in the model increased collinearity without improving estimates. Concordance between the four developed equations and DEXA‐measured ASM was high (Lin's concordance coefficient >0.90). Conclusion Despite the good performance of the four developed equations in predicting ASM, the best results came from the equation constituted only by calf circumference, sex, race, and age. This equation allows satisfactory ASM estimation from a single anthropometric measurement.

Purpose: Methodological paper aiming to describe the development of a digital and self-reported food frequency questionnaire (FFQ), created to the 1982 and 1993 Pelotas Birth Cohorts. Methods: The instrument was created based on FFQs previously applied to subjects belonging to both cohorts in the 2004 and 2008 follow-ups. The FFQ was developed including 88 foods and/or meals where frequencies were clustered from a minimum of never or once/month to a maximum of greater than or equal to 5 times/day. The closed options related to portions were based on a 24-hour recall previously asked to a subsample from the 1993 cohort. Three options for portions were created: equal to, less than or greater than. Equal to portion was described based on the 50 percentile of each food consumed reported in a 24-hour recall. Photographs of portions related to the 50 percentile for each food were also included in the software. Results: This digital FFQ included food and meals based on the needs of current researches. The layout of the software was attractive to the staff members as well as to the cohort members. The responding time was 12 minutes and the software allowed several individuals to use it at the same time. Moreover, this instrument dismissed interviewers and double data entry. Conclusion: It is recommended the use of the same strategy in other studies, adapted to different contexts and situations.

SPA can be considered a prognostic factor in postoperative morbimortality for patients with cancer.