A secondary analysis examining the concordance of self-perception of weight and actual measurement of body fat percentage: The CRONICAS Cohort Study

Identifying and intervening with overweight children may decrease their likelihood of developing heart disease later in life. This secondary analysis of 58 children in the 3rd grade examined the prevalence of overweight children, methods for measuring overweight status, and the relationship among these measures and other risk factors for heart disease. Approximately one third of the 58 children were categorized as overweight. Several measures, such as weight, body fat percentage, body mass index (BMI), and skin-fold, are available to school nurses for measuring overweight status. The highest correlations were between BMI and weight and between BMI and body fat. Anthropometric measurements cannot predict cholesterol level, 24-hour diet recall, or family history. Blood pressure can be predicted by weight, body fat percentage, and BMI. BMI and body fat percentage highly correlate; however, body fat percentage is more liberal in identifying children at risk for overweight status. Therefore, body fat percentage is recommended for identification of overweight status in school-age children.

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Associations of six adiposity-related markers with incidence and mortality from 24 cancers—findings from the UK Biobank prospective cohort study

BMC Medicine ◽

10.1186/s12916-020-01848-8 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Solange Parra-Soto ◽

Emma S. Cowley ◽

Leandro F. M. Rezende ◽

Catterina Ferreccio ◽

John C. Mathers ◽

...

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Body Fat ◽

Cancer Incidence ◽

Body Fat Percentage ◽

Uk Biobank ◽

Fat Percentage ◽

Incidence And Mortality ◽

The Uk

Abstract Background Adiposity is a strong risk factor for cancer incidence and mortality. However, most of the evidence available has focused on body mass index (BMI) as a marker of adiposity. There is limited evidence on relationships of cancer with other adiposity markers, and if these associations are linear or not. The aim of this study was to investigate the associations of six adiposity markers with incidence and mortality from 24 cancers by accounting for potential non-linear associations. Methods A total of 437,393 participants (53.8% women; mean age 56.3 years) from the UK Biobank prospective cohort study were included in this study. The median follow-up was 8.8 years (interquartile range 7.9 to 9.6) for mortality and 9.3 years (IQR 8.6 to 9.9) for cancer incidence. Adiposity-related exposures were BMI, body fat percentage, waist-hip ratio, waist-height ratio, and waist and hip circumference. Incidence and mortality of 24 cancers sites were the outcomes. Cox proportional hazard models were used with each of the exposure variables fitted separately on penalised cubic splines. Results During follow-up, 47,882 individuals developed cancer and 11,265 died due to cancer during the follow-up period. All adiposity markers had similar associations with overall cancer incidence. BMI was associated with a higher incidence of 10 cancers (stomach cardia (hazard ratio per 1 SD increment 1.35, (95% CI 1.23; 1.47)), gallbladder (1.33 (1.12; 1.58)), liver (1.27 (1.19; 1.36)), kidney (1.26 (1.20; 1.33)), pancreas (1.12 (1.06; 1.19)), bladder (1.09 (1.04; 1.14)), colorectal (1.10 (1.06; 1.13)), endometrial (1.73 (1.65; 1.82)), uterine (1.68 (1.60; 1.75)), and breast cancer (1.08 (1.05; 1.11))) and overall cancer (1.03 (1.02; 1.04)). All these associations were linear except for breast cancer in postmenopausal women. Similar results were observed when other markers of central and overall adiposity were used. For mortality, nine cancer sites were linearly associated with BMI and eight with waist circumference and body fat percentage. Conclusion Adiposity, regardless of the marker used, was associated with an increased risk in 10 cancer sites.

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