A Population-Based Family Case–Control Study of Sun Exposure and Follicular Lymphoma Risk

Author:

Odutola Michael K.1ORCID,van Leeuwen Marina T.1ORCID,Bruinsma Fiona23ORCID,Turner Jennifer45ORCID,Hertzberg Mark6ORCID,Seymour John F.7ORCID,Prince H. Miles7ORCID,Trotman Judith8ORCID,Verner Emma8ORCID,Roncolato Fernando9ORCID,Opat Stephen10ORCID,Lindeman Robert11ORCID,Tiley Campbell12ORCID,Milliken Samuel T.13ORCID,Underhill Craig R.14ORCID,Benke Geza15ORCID,Giles Graham G.216ORCID,Vajdic Claire M.117ORCID

Affiliation:

1. 1Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.

2. 2Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.

3. 3Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.

4. 4Anatomical Pathology, Douglass Hanly Moir Pathology, Macquarie Park, Sydney, Australia.

5. 5Department of Clinical Medicine, Faculty of Medicine, Health and Human Science, Macquarie University, Sydney, Australia.

6. 6Department of Haematology, Prince of Wales Hospital and University of New South Wales, Sydney, New South Wales, Australia.

7. 7Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.

8. 8Concord Repatriation General Hospital, Concord, New South Wales, Australia.

9. 9St. George Hospital, Kogarah, New South Wales, Australia.

10. 10Clinical Haematology, Monash Health, Clayton, Victoria, Australia.

11. 11New South Wales Health Pathology, Sydney, New South Wales, Australia.

12. 12Gosford Hospital, Gosford, New South Wales, Australia.

13. 13St. Vincent's Hospital, Sydney, New South Wales, Australia.

14. 14Border Medical Oncology Research Unit, Albury, New South Wales, Australia.

15. 15School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

16. 16Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia.

17. 17The Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.

Abstract

Abstract Background: Epidemiologic evidence suggests an inverse association between sun exposure and follicular lymphoma risk. Methods: We conducted an Australian population-based family case–control study based on 666 cases and 459 controls (288 related, 171 unrelated). Participants completed a lifetime residence and work calendar and recalled outdoor hours on weekdays, weekends, and holidays in the warmer and cooler months at ages 10, 20, 30, and 40 years, and clothing types worn in the warmer months. We used a group-based trajectory modeling approach to identify outdoor hour trajectories over time and examined associations with follicular lymphoma risk using logistic regression. Results: We observed an inverse association between follicular lymphoma risk and several measures of high lifetime sun exposure, particularly intermittent exposure (weekends, holidays). Associations included reduced risk with increasing time outdoors on holidays in the warmer months [highest category OR = 0.56; 95% confidence interval (CI), 0.42–0.76; Ptrend < 0.01], high outdoor hours on weekends in the warmer months (highest category OR = 0.71; 95% CI, 0.52–0.96), and increasing time outdoors in the warmer and cooler months combined (highest category OR = 0.66; 95% CI, 0.50–0.91; Ptrend 0.01). Risk was reduced for high outdoor hour maintainers in the warmer months across the decade years (OR = 0.71; 95% CI, 0.53–0.96). Conclusions: High total and intermittent sun exposure, particularly in the warmer months, may be protective against the development of follicular lymphoma. Impact: Although sun exposure is not recommended as a cancer control policy, confirming this association may provide insights regarding the future control of this intractable malignancy.

Funder

National Health and Medical Research Council

Publisher

American Association for Cancer Research (AACR)

Subject

Oncology,Epidemiology

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