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Patricia A. Hageman, Carol H. Pullen and Michael Yoerger

registered on, trial identifier: NCT01307644. Women with complete data ( n  = 297) at baseline were included in this analysis. Women were eligible for the trial if they were 40–69 years, had a body mass index (BMI) of 28–45 kg/m 2 , and were willing and able to participate in a weight loss

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Christopher C. Imes, Yaguang Zheng, Dara D. Mendez, Bonny J. Rockette-Wagner, Meghan K. Mattos, Rachel W. Goode, Susan M. Sereika and Lora E. Burke

In the United States, over one-third of adults are obese and the number of adults who are either overweight or obese is increasing globally. 1 , 2 Adults who are obese, defined as a body mass index (BMI) > 30 kg/m 2 , compared with adults with a healthy weight, have an increased risk for

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Gina M. McCaskill, Olivio J. Clay, Peng Li, Richard E. Kennedy, Kathryn L. Burgio and Cynthia J. Brown

,000, which was based on poverty guidelines at the time of the initial study ( U.S. Census Bureau, 2000 ). Participants were asked how many individuals lived in their home. Geographic locations were defined as either rural or urban according to the Alabama Rural Health Association ( 1998 ). Body mass index

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Koren L. Fisher, Bruce A. Reeder, Elizabeth L. Harrison, Brenda G. Bruner, Nigel L. Ashworth, Punam Pahwa, Nazmi Sari, M. Suzanne Sheppard, Christopher A. Shields and Karen E. Chad

functioning; the secondary outcomes were body mass index (BMI), blood pressure, and self-reported health status. We hypothesized that the HB program would demonstrate superior maintenance of improvements compared with the CB program, based on the previously published findings from a systematic review

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Gabrielle Ringenberg, Jill M. Maples and Rachel A. Tinius

In the United States, approximately one in three adults are classified as obese ( Flegal, Kruszon-Moran, Carroll, Fryar, & Ogden, 2016 ), defined as a body mass index (BMI) greater than 30 kg/m 2 . These numbers are even higher among women, with 40.4% of American women being classified as

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Ryan M. Hulteen, Lisa M. Barnett, Philip J. Morgan, Leah E. Robinson, Christian J. Barton, Brian H. Wrotniak and David R. Lubans

(3.7)  African 2 (1.8) 2 (3.7)  Asian 4 (3.7) 2 (3.6) 1 (1.9)  Other 7 (6.4) 5 (9.1) 3 (5.6) SES (1 = low, 10 = high) 109 4.65 1.37 55 4.56 1.41 54 4.74 1.33 Body mass (kg) 107 a 67.68 13.27 55 70.05 13.67 52 65.17 12.48 Height (m) 109 170.82 8.92 55 176.60 7.30 54 164.94 6.17 BMI 107 a 23.11 3.99 55

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David P. Looney, Mark J. Buller, Andrei V. Gribok, Jayme L. Leger, Adam W. Potter, William V. Rumpler, William J. Tharion, Alexander P. Welles, Karl E. Friedl and Reed W. Hoyt

prescribed in Army Regulation 70–25. All research was conducted under the oversight of Institutional Review Boards. Model Development The updated model development dataset included data from 25 volunteers (age, 23 ± 3 yrs; height, 1.72 ± 0.07 m; body mass, 68.5 ± 8.1 kg). The sample included three women (age

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Stephanie Alley, Jannique G.Z. van Uffelen, Mitch J. Duncan, Katrien De Cocker, Stephanie Schoeppe, Amanda L. Rebar and Corneel Vandelanotte

adults’ knowledge and intentions differ by physical activity and body mass index (BMI), which are related risk factors for chronic disease and mortality ( Conry et al., 2011 ). Such information will allow interventions to target population groups of older adults with the most appropriate behavior change

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Julie K. Black, Anna C. Whittaker and George M. Balanos

severity of OSA independent of body mass index (BMI) in those who are older than 50 years ( Peppard & Young, 2004 ; Simpson et al., 2015 ; Stanley, 2005 ; Verwimp, Ameye, & Bruyneel, 2013 ). Further research is sparse in respect to PA and the occurrence of undiagnosed OSA in older manual workers. It is

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Judith Godin, Joanna M. Blodgett, Kenneth Rockwood and Olga Theou

each Cox regression by examining graphs of Schoenfeld residuals versus time, and there were no noticeable violations. All models were adjusted for age, sex, education, race, marital status, smoking, body mass index, employment status, and NHANES cycle. We did not using sampling weights in our analyses