2017
DOI: 10.1002/eat.22775
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Age effects in eating disorder baseline risk factors and prevention intervention effects

Abstract: Objective Examine the impact of age on baseline eating disorder symptoms/risk factors and on the effects of completing three variants of an eating disorder prevention program. Method 680 women (60% White) were randomized to clinician-led Body Project groups, peer-led Body Project groups, an Internet-based version of the Body Project (eBodyProject), or educational video control condition. Participants, who were on average 22.2 years old (SD = 7.1, range 17-64, median = 19), were assessed at pretest, posttest,… Show more

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Cited by 29 publications
(22 citation statements)
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“…Besides, a growing body of research has examined this issue but in middle-aged women. Even if, in a sample of women aged 17-64, an older age was found to be associated with lower reported dieting and better psychological functioning [18], a review on the predictors associated with body dissatisfaction and disordered eating concluded that most factors identified for young women, such as BMI or importance of appearance, could also apply for middle-aged women [19]. Specific factors, such as menopausal status and aging anxiety also seemed to play a role in middle-aged women [19].…”
Section: Introductionmentioning
confidence: 81%
“…Besides, a growing body of research has examined this issue but in middle-aged women. Even if, in a sample of women aged 17-64, an older age was found to be associated with lower reported dieting and better psychological functioning [18], a review on the predictors associated with body dissatisfaction and disordered eating concluded that most factors identified for young women, such as BMI or importance of appearance, could also apply for middle-aged women [19]. Specific factors, such as menopausal status and aging anxiety also seemed to play a role in middle-aged women [19].…”
Section: Introductionmentioning
confidence: 81%
“…Age was included as a proxy for duration of body image concerns (Rohde et al , in press). Whilst participants were accepted across the WCS score spectrum in line with the pragmatic RCT, we expected the majority of participants to score >=47.…”
Section: Methodsmentioning
confidence: 99%
“…Specifically, sex (Skogli, Teicher, Andersen, Hovik, & ie, 2013;Striegel-Moore & Bulik, 2007), age (Rohde, Stice, Shaw, Gau, & Ohls, 2017;Sharma & Couture, 2014), ethnicity (Franko, 2007;Morgan, Staff, Hillemeier, Farkas, & Maczuga, 2013), alcohol dependence and drug use (Hudson, Weiss, Pope, McElroy, & Mirin, 1992;Lee, Humphreys, Flory, Liu, & Glass, 2011;Levy et al, 2014;Taylor, Peveler, Hibbert, & Fairburn, 1993;Walfish, Stenmark, Sarco, Shealy, & Krone, 1992), intelligence quotient (Cuesta-Zamora, González-Martí, & García-López, 2018;Frazier, Demaree, & Youngstrom, 2004), stressful life events, perceived stress (Combs, Canu, Broman-Fulks, Rocheleau, & Nieman, 2015;Humphreys et al, 2018;Rojo, Conesa, Bermudez, & Livianos, 2006), impulsivity (Dawe & Loxton, 2004;Harpin, 2005), common mental disorders (i.e., depression and any anxiety disorder) (Kessler et al, 2006;Küçük et al, 2018;Meier et al, 2015), and borderline personality disorder (BPD) traits (Philipsen et al, 2009;Sansone & Sansone, 2011) were considered as covariates in this study. Specifically, sex (Skogli, Teicher, Andersen, Hovik, & ie, 2013;Striegel-Moore & Bulik, 2007), age (Rohde, Stice, Shaw, Gau, & Ohls, 2017;Sharma & Couture, 2014), ethnicity (Franko, 2007;Morgan, Staff, Hillemeier, Farkas, & Maczuga, 2013), alcohol dependence and drug use (Hudson, Weiss, Pope, McElroy, & Mirin, 1992;Lee, Humphreys, Flory, Liu, & Glass, 2011;…”
Section: Covariatesmentioning
confidence: 99%