George read delaware biography of rory gilmore

I've always been told I read too much. Even when I was younger, nose shoved in a book, boys told me that I was awkward. Finally getting around to "Gilmore Girls" is definitely a feat for me. Not only do Lorelei and Rory have a relationship similar to my mother and I, but Rory's high hopes and love of books is something we also share. So naturally, like any list making overachiever would do, I meticulously searched the Internet for the Rory Gilmore reading challenge.

Over 7 seasons, Rory reads 339 books. And I am prepared to take on the challenge. I found a copy of the list that I found most organized, cut, stapled and mentally prepared myself for this endeavor. I'll be slowly drifting through the list, as I currently have about 100 books stacked in my nightstand, waiting to be read. But as I went through the list, I found that I already own more than a few of the books listed. (Thank god). So once a month, I'll be reviewing the books off the list, along with the difficulties I find while reading them. So stay tuned.

(I also did the math. In order to get through all the books in the same time frame as Rory, I would have to read 48+ books directly from the list a year. So wish me luck.)

Published in final edited form as: Chronobiol Int. 2021 Jan 13;38(4):543–556. doi: 10.1080/07420528.2020.1868490

Abstract

Emerging adulthood (18–25 years) represents a window of opportunity to modify the trajectory of cardiometabolic disease risk into older adulthood. Not known is the extent to which rest-activity rhythms (RAR) may be related to biomarkers of cardiometabolic health in this population. In this cross-sectional, observational study, 52 healthy emerging adults wore wrist accelerometers (14 consecutive days; 24h/day) for assessment of nonparametric RAR metrics, including interdaily stability (IS; day-to-day RAR consistency), intradaily variability (IV; within-day RAR fragmentation), and relative amplitude (RA; robustness of RAR), as well as autocorrelation (correlation of rest/activity levels at 24-hour lag-times). Cardiometabolic biomarkers, including body mass index (BMI), body fat percentage, blood pressure (BP), fasting lipids, glucose, and C-reactive protein (CRP) were assessed. Additional measures including physical activity, sleep duration, and habitual caffeine and alcohol consumption were also evaluated. A series of multivariable regression models of cardiometabolic biomarkers were used to quantify as

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