Literature DB >> 9272843

Weight, weight gain, activity, and major illnesses: the Nurses' Health Study.

G A Colditz1, E Coakley.   

Abstract

The Nurses' Health Study was initiated in 1976 to study the relation between oral contraceptives and breast cancer. Subsequent funding was available to follow the cohort to address relations between cigarette smoking, postmenopausal hormones, hair dyes, and a range of cancers including breast, endometrial, ovarian, and lung cancer. The 121,700 participating nurses are followed up every 2 years via mail questionnaire to update exposure information to identify incident cancers and other illnesses. Follow-up through 1994 has achieved 90% response from living cohort members. Over the course of the study, additional exposures have been added and refined, including weight at age 18, current weight, height, waist and hip measurements and history of major voluntary weight loss among others. Our focus has been on the health effects of weight gain during middle age. The results relating to diabetes, coronary heart disease, certain types of cancer and total mortality are reviewed. Our primary analytic tools have been multiple logistic regression and Cox proportional hazards models. These methods allow for flexibility in defining the exposures of interest as well as determining their relative importance while controlling for key risk factors. Our models show that even moderate weight gain after age 18 increases risk of each condition. The benefits of physical activity include reduced risk of disease. Issues in the measurement and validation of weight and activity highlight the complexities that are inherent in observational studies addressing the health consequences of lifestyles and anthropometric variables. Our experience of working with repeated measures of body weight and recreational activity are described. Recreational activity has been ascertained in various ways on several questionnaires and may be subject to misclassification. For both weight and activity it may be the pattern of these values that is of importance (e.g. "weight cycling") for some outcomes or conditions. Our research in this area is ongoing. These issues regarding longitudinal measurement will never be completely resolved because weight and activity are intrinsically complex concepts. For these and other such variables, the primary solution is to minimize the problems associated with longitudinal studies. This is best accomplished by developing and maintaining a very strong study design/protocol, including: careful consideration of the sample frame and sample size; maintenance of a high response rate; and continuous monitoring and improvement of the survey/interview instrument(s).

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Year:  1997        PMID: 9272843     DOI: 10.1055/s-2007-972709

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  14 in total

1.  Associations among body mass index, waist circumference, and health indicators in American Indian and Alaska Native adults.

Authors:  Martha L Slattery; Elizabeth D Ferucci; Maureen A Murtaugh; Sandra Edwards; Khe-Ni Ma; Ruth A Etzel; Lillian Tom-Orme; Anne P Lanier
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2.  Overweight in early adulthood, adult weight change, and risk of type 2 diabetes, cardiovascular diseases, and certain cancers in men: a cohort study.

Authors:  Renée de Mutsert; Qi Sun; Walter C Willett; Frank B Hu; Rob M van Dam
Journal:  Am J Epidemiol       Date:  2014-04-30       Impact factor: 4.897

3.  Prospective weight change and colon cancer risk in male US health professionals.

Authors:  Lau Caspar Thygesen; Morten Grønbaek; Christoffer Johansen; Charles S Fuchs; Walter C Willett; Edward Giovannucci
Journal:  Int J Cancer       Date:  2008-09-01       Impact factor: 7.396

4.  A novel, privacy-preserving cryptographic approach for sharing sequencing data.

Authors:  Christopher A Cassa; Rachel A Miller; Kenneth D Mandl
Journal:  J Am Med Inform Assoc       Date:  2012-11-02       Impact factor: 4.497

5.  Snoring, hypertension and Type 2 diabetes in obesity. Protection by physical activity.

Authors:  G Marchesini; A Pontiroli; G Salvioli; R F Novi; E Vitacolonna; C Taboga; A M Ciccarone; E Grossi
Journal:  J Endocrinol Invest       Date:  2004-02       Impact factor: 4.256

6.  Associations of self-reported sleep duration and snoring with colorectal cancer risk in men and women.

Authors:  Xuehong Zhang; Edward L Giovannucci; Kana Wu; Xiang Gao; Frank Hu; Shuji Ogino; Eva S Schernhammer; Charles S Fuchs; Susan Redline; Walter C Willett; Jing Ma
Journal:  Sleep       Date:  2013-05-01       Impact factor: 5.849

7.  Recruitment and retention of older adolescent and young adult female survivors of childhood cancer in longitudinal research.

Authors:  Mary Ann Cantrell; Teresa Conte; Melissa Hudson; Aziza Shad; Kathy Ruble; Kaye Herth; Alyssa Canino; Sinead Kemmy
Journal:  Oncol Nurs Forum       Date:  2012-09       Impact factor: 2.172

8.  Body mass index at different adult ages, weight change, and colorectal cancer risk in the National Institutes of Health-AARP Cohort.

Authors:  Andrew G Renehan; Andrew Flood; Kenneth F Adams; Matthias Olden; Albert R Hollenbeck; Amanda J Cross; Michael F Leitzmann
Journal:  Am J Epidemiol       Date:  2012-11-27       Impact factor: 4.897

Review 9.  Use of sibutramine and other noradrenergic and serotonergic drugs in the management of obesity.

Authors:  D H Ryan
Journal:  Endocrine       Date:  2000-10       Impact factor: 3.925

10.  Long-term weight changes and risk of rheumatoid arthritis among women in a prospective cohort: a marginal structural model approach.

Authors:  Nathalie E Marchand; Jeffrey A Sparks; Susan Malspeis; Kazuki Yoshida; Lauren Prisco; Xuehong Zhang; Karen Costenbader; Frank Hu; Elizabeth W Karlson; Bing Lu
Journal:  Rheumatology (Oxford)       Date:  2022-04-11       Impact factor: 7.046

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