Y Zheng1, L E Burke2,3,4, C A Danford2, L J Ewing5, M A Terry3, S M Sereika2,3,4. 1. William F. Connell School of Nursing, Boston College, Chestnut Hill, MA, USA. 2. University of Pittsburgh School of Nursing, Pittsburgh, PA, USA. 3. University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA. 4. Clinical and Translational Science Institute, Pittsburgh, PA, USA. 5. Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Abstract
BACKGROUND/ OBJECTIVES: Regular self-weighing has been associated with weight loss and maintenance in adults enrolled in a behavioral weight loss intervention; however, few studies have examined the patterns of adherence to a self-weighing protocol. The study aims were to (1) identify patterns of self-weighing behavior; and (2) examine adherence to energy intake and step goals and weight change by self-weighing patterns. SUBJECTS/ METHODS: This was a secondary analysis of self-monitoring and assessment weight data from a 12-month behavioral weight loss intervention study. Each participant was given a scale that was Wi-Fi-enabled and transmitted the date-stamped weight data to a central server. Group-based trajectory modeling was used to identify distinct classes of trajectories based on the number of days participants self-weighed over 51 weeks. RESULTS:The sample (N=148) was 90.5% female, 81.1% non-Hispanic white, with a mean (s.d.) age of 51.3 (10.1) years, had completed an average of 16.4 (2.8) years of education and had mean body mass index of 34.1 (4.6) kg m(-2). Three patterns of self-weighing were identified: high/consistent (n=111, 75.0% self-weighed over 6 days per week regularly); moderate/declined (n=24, 16.2% declined from 4-5 to 2 days per week gradually); and minimal/declined (n=13, 8.8% declined from 5-6 to 0 days per week after week 33). The high/consistent group achieved greater weight loss than either the moderate/declined and minimal/declined groups at 6 months (-10.19%±5.78%, -5.45%±4.73% and -2.00%±4.58%) and 12 months (-9.90%±8.16%, -5.62%±6.28% and 0.65%±3.58%), respectively (P<0.001). The high/consistent group had a greater mean number days per week of adherence to calorie intake goal or step goal but not higher than the moderate/declined group. CONCLUSIONS: This is the first study to reveal distinct temporal patterns of self-weighing behavior. The majority of participants were able to sustain a habit of daily self-weighing with regular self-weighing leading to weight loss and maintenance as well as adherence to energy intake and step goals.
RCT Entities:
BACKGROUND/ OBJECTIVES: Regular self-weighing has been associated with weight loss and maintenance in adults enrolled in a behavioral weight loss intervention; however, few studies have examined the patterns of adherence to a self-weighing protocol. The study aims were to (1) identify patterns of self-weighing behavior; and (2) examine adherence to energy intake and step goals and weight change by self-weighing patterns. SUBJECTS/ METHODS: This was a secondary analysis of self-monitoring and assessment weight data from a 12-month behavioral weight loss intervention study. Each participant was given a scale that was Wi-Fi-enabled and transmitted the date-stamped weight data to a central server. Group-based trajectory modeling was used to identify distinct classes of trajectories based on the number of days participants self-weighed over 51 weeks. RESULTS: The sample (N=148) was 90.5% female, 81.1% non-Hispanic white, with a mean (s.d.) age of 51.3 (10.1) years, had completed an average of 16.4 (2.8) years of education and had mean body mass index of 34.1 (4.6) kg m(-2). Three patterns of self-weighing were identified: high/consistent (n=111, 75.0% self-weighed over 6 days per week regularly); moderate/declined (n=24, 16.2% declined from 4-5 to 2 days per week gradually); and minimal/declined (n=13, 8.8% declined from 5-6 to 0 days per week after week 33). The high/consistent group achieved greater weight loss than either the moderate/declined and minimal/declined groups at 6 months (-10.19%±5.78%, -5.45%±4.73% and -2.00%±4.58%) and 12 months (-9.90%±8.16%, -5.62%±6.28% and 0.65%±3.58%), respectively (P<0.001). The high/consistent group had a greater mean number days per week of adherence to calorie intake goal or step goal but not higher than the moderate/declined group. CONCLUSIONS: This is the first study to reveal distinct temporal patterns of self-weighing behavior. The majority of participants were able to sustain a habit of daily self-weighing with regular self-weighing leading to weight loss and maintenance as well as adherence to energy intake and step goals.
Authors: Yaguang Zheng; Mary Lou Klem; Susan M Sereika; Cynthia A Danford; Linda J Ewing; Lora E Burke Journal: Obesity (Silver Spring) Date: 2014-12-17 Impact factor: 5.002
Authors: Claire D Madigan; Kate Jolly; Andrea Roalfe; Amanda L Lewis; Laura Webber; Paul Aveyard; Amanda J Daley Journal: BMC Public Health Date: 2015-06-04 Impact factor: 3.295
Authors: Sushama D Acharya; Okan U Elci; Susan M Sereika; Edvin Music; Mindi A Styn; Melanie Warziski Turk; Lora E Burke Journal: Patient Prefer Adherence Date: 2009-11-03 Impact factor: 2.711
Authors: Dori M Steinberg; Deborah F Tate; Gary G Bennett; Susan Ennett; Carmen Samuel-Hodge; Dianne S Ward Journal: Obesity (Silver Spring) Date: 2013-07-02 Impact factor: 5.002
Authors: B Rockette-Wagner; J Cheng; Z Bizhanova; A M Kriska; S M Sereika; C E Kline; C C Imes; J K Kariuki; D D Mendez; L E Burke Journal: Transl J Am Coll Sports Med Date: 2022
Authors: Jonathan H Hori; Elizabeth X Sia; Kimberly G Lockwood; Lisa A Auster-Gussman; Sharon Rapoport; OraLee H Branch; Sarah A Graham Journal: Behav Sci (Basel) Date: 2022-05-24
Authors: Yaguang Zheng; Susan M Sereika; Lora E Burke; Jeffrey E Olgin; Gregory M Marcus; Kirstin Aschbacher; Geoffrey H Tison; Mark J Pletcher Journal: J Behav Med Date: 2019-01-16
Authors: Christopher E Kline; Lora E Burke; Susan M Sereika; Christopher C Imes; Bonny Rockette-Wagner; Dara D Mendez; Patrick J Strollo; Yaguang Zheng; Stephen L Rathbun; Eileen R Chasens Journal: Mayo Clin Proc Date: 2018-08-03 Impact factor: 7.616
Authors: Michael C Robertson; Margaret Raber; Yue Liao; Ivan Wu; Nathan Parker; Leticia Gatus; Thuan Le; Casey P Durand; Karen M Basen-Engquist Journal: Transl Behav Med Date: 2021-08-13 Impact factor: 3.046
Authors: Brooke T Nezami; Carmina G Valle; Alison K Nulty; Mark Espeland; Rena R Wing; Deborah F Tate Journal: Obesity (Silver Spring) Date: 2021-04 Impact factor: 5.002
Authors: Lora E Burke; Yaguang Zheng; Qianheng Ma; Juliet Mancino; India Loar; Edvin Music; Mindi Styn; Linda Ewing; Brian French; Dan Sieworek; Asim Smailagic; Susan M Sereika Journal: Prev Med Rep Date: 2017-03-31
Authors: Ronald W Gimbel; Lior M Rennert; Paul Crawford; Jeanette R Little; Khoa Truong; Joel E Williams; Sarah F Griffin; Lu Shi; Liwei Chen; LingLing Zhang; Jennie B Moss; Robert C Marshall; Karen W Edwards; Kristy J Crawford; Marie Hing; Amanda Schmeltz; Brandon Lumsden; Morgan Ashby; Elizabeth Haas; Kelly Palazzo Journal: J Med Internet Res Date: 2020-05-26 Impact factor: 5.428
Authors: Pao-Hwa Lin; Steven Grambow; Stephen Intille; John A Gallis; Tony Lazenka; Hayden Bosworth; Corrine L Voils; Gary G Bennett; Bryan Batch; Jenifer Allen; Leonor Corsino; Crystal Tyson; Laura Svetkey Journal: JMIR Mhealth Uhealth Date: 2018-10-18 Impact factor: 4.773