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Letter to the Editor: Cancer Epidemiology

Body mass index and its association with 22 cancer types: a Norwegian cohort study of 481 202 cancer cases

, ORCID Icon, , , , , & show all
Pages 1273-1278 | Received 07 Jul 2023, Accepted 08 Sep 2023, Published online: 15 Sep 2023

Figures & data

Figure 1. Forest plots illustrating hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the risk of Gastrointestinal cancers across different age groups, considering both sexes combined (a), men (B), and women (C). each plot demonstrates the effect of a 5 kg/m2 increase in body-mass index (BMI) on cancer risk, with BMI modelled as a linear variable. The number of cancer cases are indicated within brackets. Age 16-29 was at time of BMI measurement.

▪ Both sexes.

• Men.

♦ Women.

Figure 1. Forest plots illustrating hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the risk of Gastrointestinal cancers across different age groups, considering both sexes combined (a), men (B), and women (C). each plot demonstrates the effect of a 5 kg/m2 increase in body-mass index (BMI) on cancer risk, with BMI modelled as a linear variable. The number of cancer cases are indicated within brackets. Age 16-29 was at time of BMI measurement.▪ Both sexes.• Men.♦ Women.

Figure 2. Forest plots illustrating hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the risk of Gender specific cancers across different age groups. The plot demonstrates the effect of a 5 kg/m2 increase in body-mass index (BMI) on cancer risk, with BMI modelled as a linear variable. The number of cancer cases are indicated within brackets. Age 16-29 was at time of BMI measurement.

• Men.

♦ Women.

Figure 2. Forest plots illustrating hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the risk of Gender specific cancers across different age groups. The plot demonstrates the effect of a 5 kg/m2 increase in body-mass index (BMI) on cancer risk, with BMI modelled as a linear variable. The number of cancer cases are indicated within brackets. Age 16-29 was at time of BMI measurement.• Men.♦ Women.

Figure 3. Forest plots illustrating hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the risk of other cancers across different age groups, considering both sexes combined (A), men (B), and women (C). Each plot demonstrates the effect of a 5 kg/m2 increase in body-mass index (BMI) on cancer risk, with BMI modelled as a linear variable. The number of cancer cases are indicated within brackets. Age 16–29 was at time of BMI measurement.

▪ Both sexes.

• Men.

♦ Women.

Figure 3. Forest plots illustrating hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the risk of other cancers across different age groups, considering both sexes combined (A), men (B), and women (C). Each plot demonstrates the effect of a 5 kg/m2 increase in body-mass index (BMI) on cancer risk, with BMI modelled as a linear variable. The number of cancer cases are indicated within brackets. Age 16–29 was at time of BMI measurement.▪ Both sexes.• Men.♦ Women.

Table 1. Characteristics of the study cohort from the Norwegian tuberculosis screening program 1963–1975.

Supplemental material

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Data availability statement

Aggregated anonymous data may be available upon request and approval of Regional Committees for Medical and Health Research Ethics.

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