Effect of tailoring on weight loss among young adults receiving digital interventions: an 18 month randomized controlled trial
Abstract Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ±...
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Published in | Translational behavioral medicine Vol. 11; no. 4; pp. 970 - 980 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Oxford University Press
01.04.2021
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Abstract | Abstract
Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (−2.32 kg [95% confidence intervals: −3.90, −0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25–27.5 kg/m2), those in TAILORED lost 2.27 kg (−3.86, −0.68) more, and those in TARGETED lost 1.72 kg (−3.16, −0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m2, those in TAILORED lost 2.20 kg (−3.90, −0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity.
Few large-scale weight loss studies have specifically focused on young adults. Young adults have not been as successful in weight loss clinical trials as their older adult counterparts. This study is an 18 month randomized controlled trial comparing two digital weight loss programs adapted for young adults (one with personalized material and the other with generic material) to a control group. There were no differences in weight loss between the groups at any time point when looking at the entire sample. However, we found that initial body mass index (BMI) interacted with treatment group such that those young adults in the lowest BMI category who received one of the two digital weight loss programs lost more weight than the control group. We also found that of participants who were highly engaged (specifically completing at least 66% of the materials), those in the personalized group lost more weight than the control group at 6 and 12 months, along with a similar advantage over those receiving the generic materials at 12 months. The findings indicate that young adults with obesity (BMI >30) may need a stepped care or precision medicine approach that involves greater intensity and contact. |
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AbstractList | Abstract
Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (−2.32 kg [95% confidence intervals: −3.90, −0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25–27.5 kg/m2), those in TAILORED lost 2.27 kg (−3.86, −0.68) more, and those in TARGETED lost 1.72 kg (−3.16, −0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m2, those in TAILORED lost 2.20 kg (−3.90, −0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity.
Few large-scale weight loss studies have specifically focused on young adults. Young adults have not been as successful in weight loss clinical trials as their older adult counterparts. This study is an 18 month randomized controlled trial comparing two digital weight loss programs adapted for young adults (one with personalized material and the other with generic material) to a control group. There were no differences in weight loss between the groups at any time point when looking at the entire sample. However, we found that initial body mass index (BMI) interacted with treatment group such that those young adults in the lowest BMI category who received one of the two digital weight loss programs lost more weight than the control group. We also found that of participants who were highly engaged (specifically completing at least 66% of the materials), those in the personalized group lost more weight than the control group at 6 and 12 months, along with a similar advantage over those receiving the generic materials at 12 months. The findings indicate that young adults with obesity (BMI >30) may need a stepped care or precision medicine approach that involves greater intensity and contact. Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity ( N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss ( p s = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (−2.32 kg [95% confidence intervals: −3.90, −0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction ( p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25–27.5 kg/m 2 ), those in TAILORED lost 2.27 kg (−3.86, −0.68) more, and those in TARGETED lost 1.72 kg (−3.16, −0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m 2 , those in TAILORED lost 2.20 kg (−3.90, −0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity. Few large-scale weight loss studies have specifically focused on young adults. Young adults have not been as successful in weight loss clinical trials as their older adult counterparts. This study is an 18 month randomized controlled trial comparing two digital weight loss programs adapted for young adults (one with personalized material and the other with generic material) to a control group. There were no differences in weight loss between the groups at any time point when looking at the entire sample. However, we found that initial body mass index (BMI) interacted with treatment group such that those young adults in the lowest BMI category who received one of the two digital weight loss programs lost more weight than the control group. We also found that of participants who were highly engaged (specifically completing at least 66% of the materials), those in the personalized group lost more weight than the control group at 6 and 12 months, along with a similar advantage over those receiving the generic materials at 12 months. The findings indicate that young adults with obesity (BMI >30) may need a stepped care or precision medicine approach that involves greater intensity and contact. Weight loss outcomes among young adults in technologybased programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6,12, and 18 month effects on weight loss. Young adults with overweight/obesity (A/= 459; 23.3 [+ or -] 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n= 15 7). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6,12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (-2.32 kg [95% confidence intervals: -3.90, -0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25-27.5 kg/m(2)), those in TAILORED lost 2.27 kg (-3.86, -0.68) more, and those in TARGETED lost 1.72 kg (-3.16, -0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m(2), those in TAILORED lost 2.20 kg (-3.90, -0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity. Abstract Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (−2.32 kg [95% confidence intervals: −3.90, −0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25–27.5 kg/m2), those in TAILORED lost 2.27 kg (−3.86, −0.68) more, and those in TARGETED lost 1.72 kg (−3.16, −0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m2, those in TAILORED lost 2.20 kg (−3.90, −0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity. Weight loss outcomes among young adults in technologybased programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6,12, and 18 month effects on weight loss. Young adults with overweight/obesity (A/= 459; 23.3 [+ or -] 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n= 15 7). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6,12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (-2.32 kg [95% confidence intervals: -3.90, -0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25-27.5 kg/m(2)), those in TAILORED lost 2.27 kg (-3.86, -0.68) more, and those in TARGETED lost 1.72 kg (-3.16, -0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m(2), those in TAILORED lost 2.20 kg (-3.90, -0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity. Key words Young adults, Weight loss, Digital interventions, Tailoring, Obesity Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (-2.32 kg [95% confidence intervals: -3.90, -0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25-27.5 kg/m2), those in TAILORED lost 2.27 kg (-3.86, -0.68) more, and those in TARGETED lost 1.72 kg (-3.16, -0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m2, those in TAILORED lost 2.20 kg (-3.90, -0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity. |
Audience | Academic |
Author | Faro, Jamie Simmens, Samuel DiPietro, Loretta Whiteley, Jessica A Malin, Steven Hayman, Laura L Winston, Ginger Tjaden, Ashley Hogan Napolitano, Melissa A Mavredes, Meghan |
AuthorAffiliation | 6 Department of Population and Quantitative Health Sciences, The University of Massachusetts Medical School , Worcester, MA 01605 , USA 4 Department of Epidemiology, Milken Institute School of Public Health, The George Washington University , Washington, DC 20052 , USA 5 Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University , Washington, DC 20052 , USA 7 Medical Faculty Associates, The George Washington University , Washington, DC 20052 , USA 8 Departments of Kinesiology and Division of Endocrinology, Metabolism and Nutrition, Rutgers University , New Brunswick, NJ 08901 , USA 1 Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University , 950 New Hampshire Ave, 3rd Floor, Washington, DC 20052 , USA 2 Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University , 950 New Hampshire Ave, 2nd Floor, Washin |
AuthorAffiliation_xml | – name: 6 Department of Population and Quantitative Health Sciences, The University of Massachusetts Medical School , Worcester, MA 01605 , USA – name: 2 Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University , 950 New Hampshire Ave, 2nd Floor, Washington, DC 20052 , USA – name: 1 Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University , 950 New Hampshire Ave, 3rd Floor, Washington, DC 20052 , USA – name: 5 Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University , Washington, DC 20052 , USA – name: 3 College of Nursing and Health Sciences, The University of Massachusetts at Boston , Boston, MA 02125 , USA – name: 4 Department of Epidemiology, Milken Institute School of Public Health, The George Washington University , Washington, DC 20052 , USA – name: 7 Medical Faculty Associates, The George Washington University , Washington, DC 20052 , USA – name: 8 Departments of Kinesiology and Division of Endocrinology, Metabolism and Nutrition, Rutgers University , New Brunswick, NJ 08901 , USA |
Author_xml | – sequence: 1 givenname: Melissa A surname: Napolitano fullname: Napolitano, Melissa A email: mnapolitano@gwu.edu organization: Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, 950 New Hampshire Ave, 3rd Floor, Washington, DC 20052, USA – sequence: 2 givenname: Jessica A surname: Whiteley fullname: Whiteley, Jessica A organization: College of Nursing and Health Sciences, The University of Massachusetts at Boston, Boston, MA 02125, USA – sequence: 3 givenname: Meghan surname: Mavredes fullname: Mavredes, Meghan organization: Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, 950 New Hampshire Ave, 3rd Floor, Washington, DC 20052, USA – sequence: 4 givenname: Ashley Hogan surname: Tjaden fullname: Tjaden, Ashley Hogan organization: Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA – sequence: 5 givenname: Samuel surname: Simmens fullname: Simmens, Samuel organization: Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA – sequence: 6 givenname: Laura L surname: Hayman fullname: Hayman, Laura L organization: College of Nursing and Health Sciences, The University of Massachusetts at Boston, Boston, MA 02125, USA – sequence: 7 givenname: Jamie surname: Faro fullname: Faro, Jamie organization: Department of Population and Quantitative Health Sciences, The University of Massachusetts Medical School, Worcester, MA 01605, USA – sequence: 8 givenname: Ginger surname: Winston fullname: Winston, Ginger organization: Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, 950 New Hampshire Ave, 3rd Floor, Washington, DC 20052, USA – sequence: 9 givenname: Steven surname: Malin fullname: Malin, Steven organization: Departments of Kinesiology and Division of Endocrinology, Metabolism and Nutrition, Rutgers University, New Brunswick, NJ 08901, USA – sequence: 10 givenname: Loretta surname: DiPietro fullname: DiPietro, Loretta organization: Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, 950 New Hampshire Ave, 2nd Floor, Washington, DC 20052, USA |
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Keywords | Digital interventions Obesity Young adults Tailoring Weight loss |
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References | Azar (2021070815201997600_CIT0032) 2013; 2013 University of Massachusetts at Boston (2021070815201997600_CIT0051) Harvey-Berino (2021070815201997600_CIT0014) 2012; 44 Wing (2021070815201997600_CIT0036) 2005; 82 Napolitano (2021070815201997600_CIT0015) 2013; 21 Dietz (2021070815201997600_CIT0044) 2017; 318 Gooding (2021070815201997600_CIT0046) 2016; 59 Pew Research Center (2021070815201997600_CIT0042) Statista (2021070815201997600_CIT0047) Noar (2021070815201997600_CIT0016) 2009; 33 Twisk (2021070815201997600_CIT0027) 2018; 10 Poobalan (2021070815201997600_CIT0041) 2010; 11 Harvey (2021070815201997600_CIT0039) 2019; 27 Chakkalakal (2021070815201997600_CIT0030) 2019; 16 West (2021070815201997600_CIT0031) 2019; 5 Lin (2021070815201997600_CIT0037) 2018; 6 Willmott (2021070815201997600_CIT0022) 2019; 21 Jakicic (2021070815201997600_CIT0034) 2012; 307 Whiteley (2021070815201997600_CIT0023) 2020 Burgess (2021070815201997600_CIT0050) 2017; 7 Alberti (2021070815201997600_CIT0005) 2009; 120 Lustria (2021070815201997600_CIT0019) 2013; 18 Gokee-LaRose (2021070815201997600_CIT0006) 2009; 33 Godino (2021070815201997600_CIT0010) 2016; 4 Rimer (2021070815201997600_CIT0020) 2006; 56 Pew Research Center (2021070815201997600_CIT0048) Power (2021070815201997600_CIT0038) 2019; 46 Bihuniak (2021070815201997600_CIT0013) 2020; 10 Lloyd-Jones (2021070815201997600_CIT0002) 2007; 115 Lytle (2021070815201997600_CIT0007) 2014; 4 Hales (2021070815201997600_CIT0001) 2020 Wing (2021070815201997600_CIT0045) 2011; 34 Coffman (2021070815201997600_CIT0028) 2016; 6 Vogels (2021070815201997600_CIT0011) Jakicic (2021070815201997600_CIT0009) 2016; 316 Severin (2021070815201997600_CIT0033) 2019; 62 Loria (2021070815201997600_CIT0003) 2007; 49 Noar (2021070815201997600_CIT0018) 2007; 133 Diabetes Prevention Program Research Group (2021070815201997600_CIT0026) 2002; 25 Dalle Grave (2021070815201997600_CIT0049) 2005; 13 Johnson (2021070815201997600_CIT0029) 1950; 15 Thomas (2021070815201997600_CIT0035) 2015; 81 Napolitano (2021070815201997600_CIT0024) 2017; 60 Harris (2021070815201997600_CIT0025) 2009; 42 LaRose (2021070815201997600_CIT0012) 2020; 28 Svetkey (2021070815201997600_CIT0008) 2015; 23 Evans (2021070815201997600_CIT0040) 2019; 16 Kreuter (2021070815201997600_CIT0017) 2003; 27 Chen (2021070815201997600_CIT0004) 2000; 49 Wing (2021070815201997600_CIT0043) 2020; 28 Napolitano (2021070815201997600_CIT0021) 2002; 30 |
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Snippet | Abstract
Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss... Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss... Weight loss outcomes among young adults in technologybased programs have been equivocal. The purpose of this study was to deliver digital weight loss... |
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SubjectTerms | Body Mass Index Body Weight Humans Obesity Obesity - therapy Overweight Prevention Social aspects Weight Loss Weight Reduction Programs Young Adult |
Title | Effect of tailoring on weight loss among young adults receiving digital interventions: an 18 month randomized controlled trial |
URI | https://www.ncbi.nlm.nih.gov/pubmed/33739422 https://pubmed.ncbi.nlm.nih.gov/PMC8075613 |
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