Literature DB >> 22314622

BMI trajectories among the severely obese: results from an electronic medical record population.

Edwin S Wong1, Bruce C M Wang, Rafael Alfonso-Cristancho, David R Flum, Sean D Sullivan, Louis P Garrison, David E Arterburn.   

Abstract

Epidemiological studies have documented the growing prevalence of severe obesity during the past three decades. The primary goal of this study was to estimate the trajectory of BMI change over 5+ years in a cohort of subjects identified as severely obese (BMI ≥35). We conducted a retrospective cohort study among adults enrolled in Group Health (GH) in Washington State. We tracked 11,735 subjects with at least one BMI measure of 35 or greater in the calendar year 2005 through April 2010. Population averaged BMI trajectories were estimated as a quadratic function of time using a marginal regression model, adjusting for gender and baseline BMI and age. For the average male in GH, the estimated BMI trajectory exhibited a slightly inverted U-shaped pattern and a 0.17 increase in BMI over the sample period. For the average female, the BMI trajectory was slightly U-shaped with BMI decreasing 0.03 units over the sample period. We found a high degree of heterogeneity in the shape of estimated trajectories across baseline characteristics with larger 5-year BMI increases among younger subjects with a lower initial BMI. We conclude that BMI changes over 5 years among individuals classified as severely obese are generally small and consistent with studies documenting BMI changes for individuals in other lower BMI categories. Our results also suggest that once the 35 BMI threshold is reached, individuals will continue to remain severely obese, especially at younger ages.

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Year:  2012        PMID: 22314622     DOI: 10.1038/oby.2012.29

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  7 in total

1.  Impact of bariatric surgery on life expectancy in severely obese patients with diabetes: a decision analysis.

Authors:  Daniel P Schauer; David E Arterburn; Edward H Livingston; Karen J Coleman; Steve Sidney; David Fisher; Patrick OʼConnor; David Fischer; Mark H Eckman
Journal:  Ann Surg       Date:  2015-05       Impact factor: 12.969

2.  Cost-effectiveness of bariatric surgical procedures for the treatment of severe obesity.

Authors:  Bruce C M Wang; Edwin S Wong; Rafael Alfonso-Cristancho; Hao He; David R Flum; David E Arterburn; Louis P Garrison; Sean D Sullivan
Journal:  Eur J Health Econ       Date:  2013-03-24

3.  Social disparities in body mass index (BMI) trajectories among Chinese adults in 1991-2011.

Authors:  Changchun Fang; Ying Liang
Journal:  Int J Equity Health       Date:  2017-08-16

Review 4.  Longitudinal studies that use data collected as part of usual care risk reporting biased results: a systematic review.

Authors:  Delaram Farzanfar; Asmaa Abumuamar; Jayoon Kim; Emily Sirotich; Yue Wang; Eleanor Pullenayegum
Journal:  BMC Med Res Methodol       Date:  2017-09-06       Impact factor: 4.615

5.  Dissemination of novel biostatistics methods: Impact of programming code availability and other characteristics on article citations.

Authors:  Amy E Wahlquist; Lutfiyya N Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J Nietert
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

6.  Long-term body mass index changes in overweight and obese adults and the risk of heart failure, cardiovascular disease and mortality: a cohort study of over 260,000 adults in the UK.

Authors:  Barbara Iyen; Stephen Weng; Yana Vinogradova; Ralph K Akyea; Nadeem Qureshi; Joe Kai
Journal:  BMC Public Health       Date:  2021-04-15       Impact factor: 3.295

7.  Ethnic disparities in mortality among overweight or obese adults with newly diagnosed type 2 diabetes: a population-based cohort study.

Authors:  B Iyen; Y Vinogradova; R K Akyea; S Weng; N Qureshi; J Kai
Journal:  J Endocrinol Invest       Date:  2022-01-13       Impact factor: 4.256

  7 in total

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