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      Elucidating Under-Studied Aspects of the Link Between Obesity and Multiple Myeloma: Weight Pattern, Body Shape Trajectory, and Body Fat Distribution

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          Abstract

          Background

          Although obesity is an established modifiable risk factor for multiple myeloma (MM), several nuanced aspects of its relation to MM remain unelucidated, limiting public health and prevention messages.

          Methods

          We analyzed prospective data from the Nurses’ Health Study and Health Professionals Follow-Up Study to examine MM risk associated with 20-year weight patterns in adulthood, body shape trajectory from ages 5 to 60 years, and body fat distribution. For each aforementioned risk factor, we report hazard ratios (HRs) and 95% confidence intervals (CIs) for incident MM from multivariable Cox proportional-hazards models.

          Results

          We documented 582 incident MM cases during 4 280 712 person-years of follow-up. Persons who exhibited extreme weight cycling, for example, those with net weight gain and one or more episodes of intentional loss of at least 20 pounds or whose cumulative intentional weight loss exceeded net weight loss with at least one episode of intentional loss of 20 pounds or more had an increased MM risk compared with individuals who maintained their weight (HR = 1.71, 95% CI = 1.05 to 2.80); the association was statistically nonsignificant after adjustment for body mass index. We identified four body shape trajectories: lean-stable, lean-increase, medium-stable, and medium-increase. MM risk was higher in the medium-increase group than in the lean-stable group (HR = 1.62, 95% CI = 1.22 to 2.14). Additionally, MM risk increased with increasing hip circumference (HR per 1-inch increase: 1.03, 95% CI = 1.01 to 1.06) but was not associated with other body fat distribution measures.

          Conclusions

          Maintaining a lean and stable weight throughout life may provide the strongest benefit in terms of MM prevention.

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          Most cited references23

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          Use of the Danish Adoption Register for the study of obesity and thinness.

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            Test of the National Death Index and Equifax Nationwide Death Search.

            The authors compared the ability of the National Death Index and the Equifax Nationwide Death Search to ascertain deaths of participants in the Nurses' Health Study. Each service was sent information on 197 participants aged 60-68 years in 1989 whose deaths were reported by kin or postal authorities and 1,997 participants of the same age who were known to be alive. Neither service was aware of the authors' information regarding participants' vital status. The sensitivity of the National Death Index was 98 percent and that of Equifax was 79 percent. Sensitivity was similar for women aged 65-68 years; however, for women aged 61-64 years, the sensitivity of the National Death Index was 97.7 percent compared with 60.2 percent for Equifax. The specificity of both services was approximately 100 percent. The contrast between the sources of these databases and the matching algorithms they employ has implications for researchers and for those planning health data systems.
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              Obesity, weight change, hypertension, diuretic use, and risk of gout in men: the health professionals follow-up study.

              Limited prospective information exists on the relation between obesity and weight change and the risk of gout. Similarly, both hypertension and diuretic use have been considered risk factors for gout; however, their independent contributions have not been established prospectively. We prospectively examined over a 12-year period (1986-1998) the relation between adiposity, weight change, hypertension, and diuretic use and incident gout in 47,150 male participants with no history of gout at baseline. We used a supplementary questionnaire to ascertain the American College of Rheumatology criteria for gout. During 12 years we documented 730 confirmed incident cases of gout. Compared with men with a body mass index (BMI) of 21 to 22.9, the multivariate relative risks (RRs) of gout were 1.95 (95% confidence interval [CI], 1.44-2.65) for men with a BMI of 25 to 29.9, 2.33 (95% CI, 1.62-3.36) for men with a BMI of 30 to 34.9, and 2.97 (95% CI, 1.73-5.10) for men with a BMI of 35 or greater (P for trend <.001). Compared with men who had maintained their weight (+/-4 lb) since age 21 years, the multivariate RR of gout for men who had gained 30 lb or more since age 21 years was 1.99 (95% CI, 1.49-2.66). In contrast, the multivariate RR for men who had lost 10 lb or more since the study baseline was 0.61 (95% CI, 0.40-0.92). The multivariate RRs of gout were 2.31 (95% CI, 1.96-2.72) for the presence of hypertension and 1.77 (95% CI, 1.42-2.20) for diuretic use. Higher adiposity and weight gain are strong risk factors for gout in men, while weight loss is protective. Hypertension and diuretic use are also important independent risk factors for gout.
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                Author and article information

                Journal
                JNCI Cancer Spectr
                JNCI Cancer Spectr
                jncics
                JNCI Cancer Spectrum
                Oxford University Press
                2515-5091
                September 2019
                24 June 2019
                24 June 2019
                : 3
                : 3
                : pkz044
                Affiliations
                See the Notes section for the full list of authors’ affiliations
                Author notes
                Correspondence to: Brenda M. Birmann, ScD, Channing Division of Network Medicine, 181 Longwood Ave, Boston, MA 02115 (e-mail: brenda.birmann@ 123456channing.harvard.edu ).
                Author information
                http://orcid.org/0000-0003-2452-4477
                http://orcid.org/0000-0002-7307-0291
                http://orcid.org/0000-0002-7550-5498
                Article
                pkz044
                10.1093/jncics/pkz044
                6699596
                31448358
                81a685a2-2c0c-47fa-93e1-1d99b24003c1
                © The Author(s) 2019. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 2 January 2019
                : 30 May 2019
                : 13 June 2019
                : 19 June 2019
                Page count
                Pages: 8
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: K07 CA115687
                Award ID: R01 CA127435
                Award ID: P01 CA87969
                Award ID: UM1 CA186107
                Award ID: UM1 CA167552
                Award ID: R01 CA149445
                Award ID: R21 CA198239
                Award ID: F32 CA220859
                Award ID: K99 CA215314
                Award ID: R03 CA204825
                Funded by: American Cancer Society 10.13039/100000048
                Award ID: MRSG-17–220-01–NEC
                Award ID: RSG-11–020-01-CNE
                Award ID: PF-17–231-01-CCE
                Funded by: Cancer Dream Team Research
                Award ID: SU2C-AACR-DT-28-18
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