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Devore, Elizabeth

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Devore

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Elizabeth

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Devore, Elizabeth
Author's Publications: search.filters.isAuthorOfPublication.130c0370-7b19-407c-b24c-ef23f29d14bc

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    The association of body size in early to mid-life with adult urinary 6-sulfatoxymelatonin levels among night shift health care workers
    (BioMed Central, 2015) Ramin, Cody A; Massa, Jennifer; Wegrzyn, Lani; Brown, Susan B; Pierre-Paul, Jeffrey; Devore, Elizabeth; Hankinson, Susan; Schernhammer, Eva
    Background: Adult body mass index (BMI) has been associated with urinary melatonin levels in humans; however, whether earlier-life body size is associated with melatonin, particularly among night shift workers, remains unknown. Methods: We evaluated associations of birth weight, body shape (or somatotype) at ages 5 and 10, BMI at age 18 and adulthood, weight change since age 18, waist circumference, waist to hip ratio, and height with creatinine-adjusted morning urinary melatonin (6-sulfatoxymelatonin, aMT6s) levels among 1,343 healthy women (aged 32–53 at urine collection, 1996–1999) in the Nurses’ Health Study (NHS) II cohort. Using multivariable linear regression, we computed least-square mean aMT6s levels across categories of body size, and evaluated whether these associations were modified by night shift work. Results: Adult BMI was inversely associated with aMT6s levels (mean aMT6s levels = 34 vs. 50 ng/mg creatinine, comparing adult BMI ≥30 vs. <20 kg/m2; Ptrend <0.0001); however, other measures of body size were not related to aMT6s levels after accounting for adult BMI. Night shifts worked prior to urine collection, whether recent or cumulatively over time, did not modify the association between adult BMI and aMT6s levels (e.g., Pinteraction = 0.72 for night shifts worked within two weeks of urine collection). Conclusions: Our results suggest that adult BMI, but not earlier measures of body size, is associated with urinary aMT6s levels in adulthood. These observations did not vary by night shift work status, and suggest that adult BMI may be an important mechanism by which melatonin levels are altered and subsequently influence chronic disease risk.
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    Dietary Fat Intake and Cognitive Decline in Women With Type 2 Diabetes
    (American Diabetes Association, 2009) Devore, Elizabeth; Stampfer, Meir; Breteler, Monique; Rosner, Bernard; Kang, Jae Hee; Okereke, Olivia; Hu, Frank; Grodstein, Francine
    OBJECTIVE: Individuals with type 2 diabetes have high risk of late-life cognitive impairment, yet little is known about strategies to modify risk. Targeting insulin resistance and vascular complications—both associated with cognitive decline—may be a productive approach. We investigated whether dietary fat, which modulates glucose and lipid metabolism, might influence cognitive decline in older adults with diabetes. RESEARCH DESIGN AND METHODS: Beginning in 1995–1999, we evaluated cognitive function in 1,486 Nurses' Health Study participants, aged ≥70 years, with type 2 diabetes; second evaluations were conducted 2 years later. Dietary fat intake was assessed regularly beginning in 1980; we considered average intake from 1980 (at midlife) through initial cognitive interview and also after diabetes diagnosis. We used multivariate-adjusted linear regression models to obtain mean differences in cognitive decline across tertiles of fat intake. RESULTS: Higher intakes of saturated and trans fat since midlife, and lower polyunsaturated to saturated fat ratio, were each highly associated with worse cognitive decline in these women. On a global score averaging all six cognitive tests, mean decline among women in the highest trans fat tertile was 0.15 standard units worse than that among women in the lowest tertile (95% CI −0.24 to −0.06, P = 0.002); this mean difference was comparable with the difference we find in women 7 years apart in age. Results were similar when we analyzed diet after diabetes diagnosis. CONCLUSIONS: These findings suggest that lower intakes of saturated and trans fat and higher intake of polyunsaturated fat relative to saturated fat may reduce cognitive decline in individuals with type 2 diabetes.