ArticlePloS one2018
Body composition measurements and risk of hematological malignancies: A population-based cohort study during 20 years of follow-up.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Body mass index and multiple myeloma: a systematic review and dose-response meta-analysis of prospective cohort studies.BMC cancer · 2026Pooled it
- Causal relationships between body composition and hematological malignancies: a multivariable mendelian randomization analysis.Cancer causes & control : CCC · 2025Article
- Anthropometric traits and risk of multiple myeloma: differences by race, sex and diagnostic clinical features.British journal of cancer · 2024Article
- Obesity and Risk for Lymphoma: Possible Role of Leptin.International journal of molecular sciences · 2022Review
- Anthropometric traits and risk of multiple myeloma: a pooled prospective analysis.British journal of cancer · 2022Article
- Review
- Multimodal analysis suggests differential immuno-metabolic crosstalk in lung squamous cell carcinoma and adenocarcinoma.NPJ precision oncology · 2022Article
- The Weight Problem: Overview of the Most Common Concepts for Body Mass and Fat Distribution and Critical Consideration of Their Usefulness for Risk Assessment and Practice.International journal of environmental research and public health · 2021Article
- The prediction of colorectal cancer using anthropometric measures: A Swedish population-based cohort study with 22 years of follow-up.United European gastroenterology journal · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High body mass index (BMI) is associated with development of hematological malignancies (HMs). However, although BMI is a well-established measurement of excess weight, it does not fully reflect body composition and can sometimes misclassify individuals. This study aimed at investigating what body composition measurements had highest association with development of HM. Body composition measurements on 27,557 individuals recorded by healthcare professionals as part of the Malmö Diet and Cancer study conducted in Sweden between 1991-1996 were matched with data from national registers on cancer incidence and causes of death. Cox regression models adjusted for age and sex were used to test the association between one standard deviation increments in body composition measurements and risk of HM. During a median follow-up of 20 years, 564 persons developed an HM. Several body composition measurements were associated with risk of developing an HM, but the strongest association was found for multiple myeloma (MM). Waist circumference (HR 1.31, p = 0.04) and waist-hip ratio (HR 1.61, p = 0.05) had higher risk estimates than BMI (HR 1.18, p = 0.07) for MM. In conclusion, our study shows that measurements of abdominal adiposity better predict the risk of developing HM, particularly MM, compared to BMI.
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