Obesity, obesity-related metabolic conditions, and risk of thyroid cancer in women: results from a prospective cohort study (Sister Study).

Diabetes Epidemiology Obesity Obesity associated diseases Risk factors Thyroid cancer

Journal

Lancet regional health. Americas
ISSN: 2667-193X
Titre abrégé: Lancet Reg Health Am
Pays: England
ID NLM: 9918232503006676

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 20 02 2023
revised: 02 06 2023
accepted: 02 06 2023
medline: 22 6 2023
pubmed: 22 6 2023
entrez: 22 6 2023
Statut: epublish

Résumé

Thyroid cancer incidence has increased worldwide. Obesity trends may play a role, but the underlying biological pathways are not well-characterized. Therefore, we examined associations of excess adiposity and obesity-related metabolic conditions with thyroid cancer incidence. From the Sister Study, a cohort of sisters of women with breast cancer, we included 47,739 women who were cancer-free at baseline (2003-2009). Height, weight, waist and hip circumference, and blood pressure were measured at baseline and medical history was self-reported. Cox proportional hazards regression models were adjusted for age (time scale), race/ethnicity, smoking, baseline history of benign thyroid disease, and frequency of routine healthcare visits. During follow-up (median = 12.5; max = 15.9 years), 259 women reported incident thyroid cancer. Body mass index (BMI) (hazard ratio [HR] In this cohort of sisters of women diagnosed with breast cancer, excess adiposity and several obesity-related metabolic conditions were associated with thyroid cancer incidence. These findings provide insights into potential biological mechanisms linking obesity and thyroid cancer. This research was supported by the Intramural Research Program of the National Institutes of Health, National Cancer Institute and National Institute of Environmental Health Sciences (Z01-ES044005).

Sections du résumé

Background UNASSIGNED
Thyroid cancer incidence has increased worldwide. Obesity trends may play a role, but the underlying biological pathways are not well-characterized. Therefore, we examined associations of excess adiposity and obesity-related metabolic conditions with thyroid cancer incidence.
Methods UNASSIGNED
From the Sister Study, a cohort of sisters of women with breast cancer, we included 47,739 women who were cancer-free at baseline (2003-2009). Height, weight, waist and hip circumference, and blood pressure were measured at baseline and medical history was self-reported. Cox proportional hazards regression models were adjusted for age (time scale), race/ethnicity, smoking, baseline history of benign thyroid disease, and frequency of routine healthcare visits.
Findings UNASSIGNED
During follow-up (median = 12.5; max = 15.9 years), 259 women reported incident thyroid cancer. Body mass index (BMI) (hazard ratio [HR]
Interpretation UNASSIGNED
In this cohort of sisters of women diagnosed with breast cancer, excess adiposity and several obesity-related metabolic conditions were associated with thyroid cancer incidence. These findings provide insights into potential biological mechanisms linking obesity and thyroid cancer.
Funding UNASSIGNED
This research was supported by the Intramural Research Program of the National Institutes of Health, National Cancer Institute and National Institute of Environmental Health Sciences (Z01-ES044005).

Identifiants

pubmed: 37346380
doi: 10.1016/j.lana.2023.100537
pii: S2667-193X(23)00111-4
pmc: PMC10279535
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100537

Déclaration de conflit d'intérêts

All authors declare no conflict of interest.

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Auteurs

Elisa Pasqual (E)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20892, USA.
International Agency for Research on Cancer, 25 Avenue Tony Garnier, CS 90627, 69366 Lyon CEDEX 07, France.

Katie O'Brien (K)

Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.

Sabina Rinaldi (S)

International Agency for Research on Cancer, 25 Avenue Tony Garnier, CS 90627, 69366 Lyon CEDEX 07, France.

Dale P Sandler (DP)

Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.

Cari M Kitahara (CM)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20892, USA.

Classifications MeSH