Dietary restraint moderates genetic risk for binge eating
Open accessAbstract
Dietary restraint is a prospective risk factor for the development of binge eating and bulimia nervosa. Although many women engage in dietary restraint, relatively few develop binge eating. Dietary restraint may increase susceptibility for binge eating only in individuals who are at genetic risk. Specifically, dietary restraint may be a behavioral exposure factor that activates genetic predispositions for binge eating. We investigated this possibility in 1,678 young adolescent and adult same-sex female twins from the Minnesota Twin Family Study and the Michigan State University Twin Registry. Twin moderation models were used to examine whether levels of dietary restraint moderate genetic and environmental influences on binge eating. Results indicated that genetic and nonshared environmental factors for binge eating increased at higher levels of dietary restraint. These effects were present after controlling for age, body mass index, and genetic and environmental overlap among dietary restraint and binge eating. Results suggest that dietary restraint may be most important for individuals at genetic risk for binge eating and that the combination of these factors could enhance individual differences in risk for binge eating.
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Written from the paper’s full text.
TL;DR
In 1,678 same-sex female twins, dietary restraint moderated genetic and non-shared environmental influences on binge eating, with both increasing at higher levels of restraint. These effects remained after controlling for age, BMI, and genetic/environmental overlap between dietary restraint and binge eating.
Key findings
- The best-fitting twin moderation model showed significant moderation of genetic and non-shared environmental influences unique to binge eating by dietary restraint; shared environmental moderation was dropped.
- Heritability of binge eating, after controlling for genetic influences shared with dietary restraint, was 33% at the lowest level of dietary restraint and 53% at the highest level.
- Non-shared environmental influences unique to binge eating also increased with higher dietary restraint.
- Dietary restraint and binge eating were positively correlated (r = .27, p < .001); 8.4% of twins scored above the MEBS Binge Eating clinical cutoff and 10% above the EDE-Q Restraint clinical cutoff. A modest genetic correlation was observed between restraint and binge eating (ra = .22, 95% CI: .02, .38).
Methods
- Participants were 1,678 same-sex female twins (MZ = 1,028, DZ = 650), ages 11–29 (M = 17.87, SD = 3.30), from the Minnesota Twin Family Study and Michigan State University Twin Registry; twins were included if in mid-puberty or beyond.
- Binge eating was assessed with the MEBS Binge Eating subscale (7 true-false items), dietary restraint with the EDE-Q Restraint subscale (5 items over past 28 days), and BMI was measured; binge eating scores were log-transformed and age/BMI were regressed out.
- Twin gene-environment interaction models (Purcell, 2002), modified to control for gene-environment correlation, were fit using full information maximum-likelihood in Mx; nested models were compared via change in −2lnL and AIC.
Limitations
- The paper states that self-report measures of binge eating may overestimate binge eating frequency, although the MEBS has adequate reliability and validity in community samples.
- The paper states that the sample was non-clinical rather than diagnosable eating disorders, and the data were cross-sectional, so direction of causation cannot be inferred.
- Evident from the text: the sample was female and predominantly Caucasian (MTFS 98% Caucasian; MSUTR 83% Caucasian), and most MSUTR twins were pilot-recruited through advertisements, flyers, and university registrar offices, which may limit generalizability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Claims the paper makes
0 of 58 cited sources checked · 0 supported · 0 flagged
- Findingown data
Removing the genetic and non-shared environmental unique moderation coefficients significantly worsened model fit relative to the full model.
“nested model analyses indicated that dropping the genetic and non-shared environmental unique moderation coefficients (βau and βeu, respectively) provided significantly worse fits to the data compared to the full model (as indicated by significant chi-square difference tests).”
Quote in the paperSubstantial claim - Findingown data
Genetic and non-shared environmental influences on binge eating were larger at higher levels of dietary restraint.
“Results indicated that genetic and non-shared environmental factors for binge eating increased at higher levels of dietary restraint.”
Quote in the paperSubstantial claim - Findingown data
The moderation coefficient for unique non-shared environmental effects on binge eating was positive and significant.
“The moderation coefficient for the unique non-shared environmental effects on binge eating was positive and significant (see Table 3).”
Quote in the paperSubstantial claim - Findingown data
Dietary restraint and binge eating were positively correlated in the sample (r = .27, p < .001).
“The Pearson correlation between dietary restraint and binge eating was positive and significant (r = .27, p < .001), corroborating previous research (e.g., Racine et al., 2009; Spoor et al., 2006) suggesting that higher levels of dietary restraint are associated with greater binge eating.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Racine et al., 2009
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- cites Spoor et al., 2006
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- Findingown data
The best-fitting twin moderation model included no moderation of shared environmental effects unique to binge eating.
“the best fitting model was one in which there was no moderation of the shared environmental effects unique to binge eating.”
Quote in the paperNot a substantial claim
- Findingown data
Removing the shared environmental moderation coefficient did not significantly worsen model fit relative to the full moderation model.
“dropping the shared environmental moderation coefficient (βcu) did not provide a significantly worse fit to the data compared to the full moderation model (as evidenced by a non-significant chi-square difference test).”
Quote in the paperSubstantial claim - Findingown data
A significant but modest genetic correlation was found between dietary restraint and binge eating (ra = .22, 95% CI .02-.38).
“A significant (albeit, modest) genetic correlation was observed between dietary restraint and binge eating (ra = .22 (95% CI: .02, .38)), indicating that the two phenotypes share a small but significant proportion of genetic effects.”
Quote in the paperSubstantial claim - Findingown data
The heritability of binge eating, after controlling for genetic influences shared with dietary restraint, was 33% at the lowest dietary restraint level and 53% at the highest.
“the heritability of binge eating (after controlling for genetic influences shared with dietary restraint) was 33% at the lowest level and 53% at the highest level of dietary restraint.”
Quote in the paperSubstantial claim - Findingown data
Genetic and environmental influences on dietary restraint and binge eating did not differ significantly between the MTFS and MSUTR samples.
“The fully constrained model provided the best fit to the data for both dietary restraint (Δχ2 = 1.85, Δdf = 3, p > .05) and binge eating (Δχ2 = 5.59, Δdf = 3, p > .05), suggesting no significant differences in genetic and environmental influences on these phenotypes in the two samples.”
Quote in the paperSubstantial claim - Findingown data
Binge eating was influenced by genetic and non-shared environmental factors even at low levels of dietary restraint.
“binge eating was influenced by genetic and non-shared environmental influences even when levels of dietary restraint were low”
Quote in the paperSubstantial claim - Findingown data
Non-shared environmental influences on binge eating increased as dietary restraint increased.
“non-shared environmental influences increased with increasing levels of dietary restraint (see Figure 2).”
Quote in the paperSubstantial claim - Premisecitation
That earlier molecular study found no significant interaction between serotonin gene variants and dietary restraint for binge eating in a non-clinical female sample.
“No significant interactions between serotonin genes and dietary restraint were detected for binge eating.”
- Also stated in: § Abstract · plain
“This study used a molecular genetic design (i.e., examination of associations between allelic variations in candidate genes and a phenotype) to investigate whether dietary restraint moderates associations between serotonin genes (i.e., serotonin-2a receptor gene and serotonin transporter gene) and binge eating in a non-clinical sample of women (Racine, Culbert, Larson, & Klump, 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Racine, Culbert, Larson, & Klump, 2009
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- Also stated in: § Abstract · plain
- Premisecitation
Before this work, just one study had tested whether dietary restraint interacts with genetic risk for binge eating.
“To date, only one study has examined gene-environment interactions for binge eating and dietary restraint.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Racine, Culbert, Larson, & Klump, 2009
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- Study design and conductcitation
Zygosity questionnaires based on physical similarity agree with genotyping more than 95% of the time.
“Both the original (Lykken et al., 1990) and the modified (Peeters, Van Gestel, Vlietinck, Derom, & Derom, 1998) versions are over 95% accurate when compared to genotyping.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Lykken et al., 1990
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- cites Peeters, Van Gestel, Vlietinck, Derom, & Derom, 1998
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- Study design and conductown data
A modified gene-environment interaction model was used to account for genetic overlap between dietary restraint and binge eating.
“We used the modified ‘gene-environment interaction in the presence of gene-environment correlation’ model to control for genetic overlap between dietary restraint and binge eating.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Purcell, 2002
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- Study design and conductcitation
The MEBS Binge Eating subscale has established concurrent validity, correlating with general disordered eating and other binge eating measures.
“Concurrent validity of the MEBS Binge Eating subscale is also well established, as it correlates with overall measures of disordered eating (e.g., Eating Disorder Examination- Questionnaire (EDE-Q) Total Score; r = .41–44; von Ranson et al., 2005) and related measures of binge eating (e.g., Dutch Eating Behavior Questionnaire-Emotional Eating; r = .69; Racine et al., 2009).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites von Ranson et al., 2005
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- cites Racine et al., 2009
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- Study design and conductown data
The moderation effects remained after adjustment for age, body mass index, and genetic and environmental overlap between dietary restraint and binge eating.
“Importantly, these effects were present after controlling for age, body mass index, and genetic and environmental overlap among dietary restraint and binge eating.”
Quote in the paperSubstantial claim - Study design and conductcitation
Structural equation models using FIML appear unbiased when 10-15% of data are missing.
“Importantly, results from structural equation models using FIML techniques appear to be unbiased at this level of missing data (10–15%; Ender & Bandalos, 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ender & Bandalos, 2001
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- Premisecitation
The size of genetic effects on disordered eating does not differ significantly from middle puberty through late adolescence and young adulthood.
“Because there are no significant differences in the magnitude of genetic effects from middle puberty into late adolescence (Culbert et al., 2009; Klump et al., 2003) and young adulthood (Klump, Burt, Spanos, McGue, Iacono, & Wade, in press), our inclusion of twins that span these ages should not unduly influence results.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Culbert et al., 2009
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- cites Klump et al., 2003
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- cites Klump, Burt, Spanos, McGue, Iacono, & Wade, in press
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- Study design and conductcitation
The EDE-Q Restraint scale has acceptable psychometric properties in non-clinical samples.
“The EDE-Q Restraint scale has been used extensively with non-clinical samples (e.g., Jansen et al., 2008; Ross & Wade, 2004) and demonstrates acceptable psychometric properties within these populations.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Jansen et al., 2008
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- cites Ross & Wade, 2004
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- Interpretationown data
Higher dietary restraint is associated with greater binge eating.
“suggesting that higher levels of dietary restraint are associated with greater binge eating.”
Quote in the paperSubstantial claim - Premisecitation
Scores on self-report dietary restraint measures may not match objectively measured reductions in food intake.
“A series of studies suggest scores on self-report measures of dietary restraint may not correspond with objectively measured reductions in food intake (Stice, Fisher, & Lowe, 2004; Stice, Cooper, Schoeller, Tappe, & Lowe, 2007).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Stice, Fisher, & Lowe, 2004
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- cites Stice, Cooper, Schoeller, Tappe, & Lowe, 2007
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- Premisecitation
Dietary restraint does not always lead to binge eating.
“Differences in the prevalence of dietary restraint/dieting versus binge eating highlight the fact that although dietary restraint increases risk for binge eating, it does not inevitably lead to these behaviors (Wilson, 1993).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wilson, 1993
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- Interpretationown data
The sample showed significant clinical pathology.
“This indicates the presence of significant clinical pathology in our sample.”
Quote in the paperNot a substantial claim - Study design and conductown data
The data were cross-sectional rather than longitudinal.
“our data were cross-sectional rather than longitudinal in nature.”
Quote in the paperSubstantial claim - Interpretationreasoning
Binge eating may be more likely when dietary restraint is present alongside genetic and non-shared environmental risk factors.
“Binge eating may be more likely to occur in the presence of dietary restraint if genetic and non-shared environmental risk factors are also present.”
Quote in the paperSubstantial claim - Premisecitation
Twin models assign gene × non-shared environment interactions to the E estimate because such factors affect only one twin and reduce twin similarity regardless of zygosity.
“Twin models partition gene × non-shared environment interactions into the E estimate, as non-shared environmental factors that interact with genetic risk will decrease twin similarity, regardless of zygosity, because these factors only affect one twin in a pair.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Purcell, 2002
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- Study design and conductreasoning
The study used a non-clinical twin sample rather than individuals with diagnosable eating disorders.
“we examined a non-clinical sample of twins rather than those with diagnosable eating disorders.”
Quote in the paperSubstantial claim - Interpretationown data
Engaging in dietary restraint may enhance genetic predispositions and individual differences in genetic risk for binge eating.
“Findings suggest that engaging in dietary restraint may enhance genetic predispositions and individual differences in genetic risk for binge eating.”
Quote in the paperSubstantial claim - Premisecitation
The prior study examining interactions between dietary restraint and genetic risk for binge eating found no significant interactions for two serotonin genes.
“The one former study to examine interactions between dietary restraint and genetic risk for binge eating failed to find significant interactions for two serotonin genes (Racine et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Racine et al., 2009
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- Interpretationreasoning
Dietary restraint likely interacts with more than one genomic region.
“dietary restraint likely interacts with more than one genomic region.”
Quote in the paperSubstantial claim - Study design and conductown data
Both moderation effects remained after controlling for BMI, age, and genetic and environmental overlap between dietary restraint and binge eating.
“Importantly, both moderation effects were present after controlling for BMI, age, and genetic and environmental overlap between dietary restraint and binge eating.”
Quote in the paperSubstantial claim - Study design and conductcitation
The MEBS binge eating measure has shown adequate reliability and validity in previous community samples.
“our measure of binge eating has demonstrated adequate reliability and validity in previous community samples (von Ranson et al., 2005; von Ranson, Cassin, Bramfield, & Fung, 2007).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites von Ranson et al., 2005
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- cites von Ranson, Cassin, Bramfield, & Fung, 2007
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- Premisecitation
Binge eating is influenced by multiple genes, each with a small effect.
“binge eating is influenced by multiple genes, each with a small effect (Kaye et al., 2004)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kaye et al., 2004
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- Interpretationreasoning
Dietary restraint may enhance rather than activate etiologic effects on binge eating.
“suggesting that dietary restraint may enhance rather than activate etiologic effects on binge eating.”
Quote in the paperSubstantial claim - Interpretationreasoning
The discrepancy between Racine et al. (2009) and the current study is unlikely due to measurement differences because both used the MEBS Binge Eating and EDE-Q Restraint scales.
“Discrepant results between Racine et al. (2009) and the current study are unlikely due to measurement issues, as both studies used the MEBS Binge Eating scale and the EDE-Q Restraint scale.”
Quote in the paperSubstantial claim - Interpretationreasoning
This accentuation of genetic and non-shared environmental influences may help explain prevalence differences between dietary restraint and binge eating.
“This accentuation of genetic and non-shared environmental influences may help explain differences in the prevalence of dietary restraint versus binge eating.”
Quote in the paperSubstantial claim - Study design and conductown data
The study cannot infer direction of causation.
“we cannot infer direction of causation in the current study.”
Quote in the paperSubstantial claim - Interpretationreasoning
Engaging in dietary restraint appears to increase genetic risk for binge eating.
“Given that engaging in dietary restraint appears to increase genetic risk for binge eating”
Quote in the paperSubstantial claim
- May combine two claims. 29
- Classified as probably not a substantial claim. 21
May combine two claims.
Findingown dataAfter age adjustment, the MSUTR and MTFS samples differed modestly in dietary restraint (d = .15) and binge eating (d = .16), with minimal variance differences (all p's > .05).
“Despite modest twin registry differences in levels of dietary restraint (MSUTR: M = 1.12, SD = 1.28; MTFS: M = .84, SD = 1.20) and binge eating (MSUTR: M = 1.49; SD = 1.72 MTFS: M = 1.05; SD = 1.43) after controlling for age (d = .15 for dietary restraint, d = .16 for binge eating), variance differences were minimal (all p’s > .05).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe unique genetic moderation coefficient was positive and significant, with 95% confidence intervals excluding zero.
“the unique genetic moderation coefficient was positive and significant (i.e., the 95% confidence intervals did not include 0).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDietary restraint moderates both genetic and non-shared environmental influences unique to binge eating.
“Overall, results suggest dietary restraint moderates both the genetic and non-shared environmental influences unique to binge eating.”
- Also stated in: § Discussion · plain
“Findings supported our hypothesis that genetic influences on binge eating would increase with increasing levels of dietary restraint. In addition, moderation of non-shared environmental influences on binge eating was detected, where non-shared environmental influences on binge eating also increased at higher levels of dietary restraint.”
- Also stated in: § Discussion · plain
“we report significant moderation of genetic and non-shared environmental risk for binge eating by levels of dietary restraint in a sample of female twins.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataIn the sample, 8.4% of twins exceeded the clinical cutoff for MEBS Binge Eating (score 4) and 10% exceeded the clinical cutoff for EDE-Q Restraint (score 3).
“8.4 % of twins scored above the clinical cut-off for MEBS Binge Eating (score = 4; von Ranson et al., 2005), and 10% of twins scored above the clinical cut-off for EDE-Q Restraint (score = 3; Fairburn & Cooper, 1993).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites von Ranson et al., 2005
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- cites Fairburn & Cooper, 1993
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PremisecitationBinge eating and bulimia nervosa are substantially heritable, with about half of their variance attributable to genetic factors.
“Binge eating and BN have a substantial genetic component, with approximately 50% of the variance accounted for by genetic influences (Bulik, Sullivan, & Kendler, 1998; Klump, McGue, & Iacono, 2002; Sullivan, Bulik, & Kendler, 1998; Wade, Treloar, & Martin, 2008).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bulik, Sullivan, & Kendler, 1998
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- cites Klump, McGue, & Iacono, 2002
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- cites Sullivan, Bulik, & Kendler, 1998
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PremisecitationRestrained eating is common among women, yet only a minority go on to develop binge eating.
“Although many women engage in dietary restraint, relatively few develop binge eating.”
- Also stated in: § Abstract · plain
“However, many women engage in dietary restraint, but few develop binge eating symptoms.”
- Also stated in: § Abstract · hedged
“Dieting and dietary restraint are common with roughly 20–23% of adolescent and adult women reporting these behaviors (Jones et al., 2001; Paeratakul, York-Crowe, Williamson, Ryan, & Bray, 2002; Rand & Kuldau, 1991). By contrast, estimates of current, regular binge eating range from 1.8–5.0% in women, depending on definitions used (Hay, 2003; Hudson et al., 2007; Jones et al., 2001).”
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- cites Hay, 2003
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- cites Hudson et al., 2007
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PremisecitationBody mass index is related to both dietary restraint and binge eating.
“We controlled for body mass index (BMI) in all analyses, as BMI has been associated with both dietary restraint and binge eating (Fitzgibbon et al., 1998) and could contribute to any gene-environment interactions observed in this study.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fitzgibbon et al., 1998
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PremisecitationTwin designs can estimate genetic and environmental contributions to a trait and test whether an exposure changes the size of those contributions.
“Twin studies are able to quantify genetic and environmental effects on a phenotype and, more recently, determine if an exposure variable significantly influences the magnitude of these effects (Purcell, 2002).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Purcell, 2002
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PremisecitationRestricting food intake prospectively raises the likelihood of later binge eating and bulimia nervosa.
“Dietary restraint is a prospective risk factor for the development of binge eating and bulimia nervosa.”
- Also stated in: § Abstract · hedged
“Extant cross-sectional and longitudinal data suggest that dietary restraint (i.e., the intent and/or attempt to restrict caloric intake) increases risk for binge eating (Jacobi, Hayward, de Zwann, Kraemer, & Agras, 2004).”
- Also stated in: § Abstract · boosted
“Other longitudinal studies also report that dietary restraint is a potent risk factor for the development of binge eating and bulimia nervosa (BN) among adolescent females (e.g., Neumark-Staizner, Wall, Haines, Story, & Eisenberg, 2007; Patton, Selzer, Coffey, Carlin & Wolfe, 1999).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Jacobi, Hayward, de Zwann, Kraemer, & Agras, 2004
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- cites Stice & Agras, 1998
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- cites Neumark-Staizner, Wall, Haines, Story, & Eisenberg, 2007
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Interpretationown dataEvidence for a significant interaction between genes and dietary restraint in binge eating had not yet been established, making an early molecular focus potentially premature.
“The early focus on molecular genetic studies may have been premature, as we have not obtained evidence that significant gene × dietary restraint interactions exist for binge eating.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe MEBS Binge Eating subscale showed acceptable internal consistency in this sample and in earlier samples across ages.
“Internal consistency for the Binge Eating subscale is acceptable in the current sample (see Table 1) and previous samples across a range of ages (von Ranson et al., 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites von Ranson et al., 2005
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PremisecitationGenetic effects on disordered eating are small before puberty and rise markedly during middle puberty.
“Previous work suggests genetic influences on disordered eating are nominal in pre-pubertal girls, but increase substantially during middle puberty (Culbert, Burt, McGue, Iacono, & Klump, 2009; Klump, McGue & Iacono, 2003).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Culbert, Burt, McGue, Iacono, & Klump, 2009
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- cites Klump, McGue & Iacono, 2003
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Study design and conductcitationThe EDE-Q Restraint scale has high two-week test-retest reliability (r = .81) in a non-clinical female sample.
“In addition, high two-week test-retest reliability (r = .81; Luce & Crowther, 1999) has been reported in a non-clinical sample of females.”
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Study design and conductcitationThe EDE-Q Restraint scale showed excellent internal consistency in this sample and in other non-clinical samples.
“Excellent internal consistency exists for the Restraint scale in our sample (see Table 1) and other non-clinical samples (Luce & Crowther, 1999).”
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Study design and conductcitationMSUTR twins are demographically representative of the recruitment region in racial and ethnic background.
“Nonetheless, MSUTR twins have been shown to be demographically representative of individuals from the recruitment region in terms of racial and ethnic background (i.e., 83% Caucasian; Culbert, Breedlove, Burt, & Klump, 2008).”
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Study design and conductcitationThe EDE-Q Restraint subscale has established criterion validity, with women with sub-threshold or threshold eating disorders scoring higher than healthy controls.
“Finally, criterion validity of the EDE-Q restraint subscale is established, as women with sub-threshold and threshold eating disorders score significantly higher than healthy control women (Mond et al., 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mond et al., 2004
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Study design and conductcitationIn the twin sample, binge eating and dietary restraint scores had low means but enough variability for the planned analyses.
“Inspection of means, ranges, and, in particular, standard deviations of binge eating and restraint scores suggested that, although means for both variables were low, there was sufficient variability in these constructs (Mond, Hay, Rodgers, & Owen, 2006; von Ranson et al., 2005).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Mond et al., 2006
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- cites von Ranson et al., 2005
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InterpretationcitationDietary restraint interacts with other etiological factors for binge eating, and genetic risk is one candidate.
“Dietary restraint therefore interacts with other etiological factors for binge eating, and one possible set of factors are genetic risk factors (Klump & Culbert, 2007).”
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Study design and conductcitationThe EDE-Q and EDE Restraint subscales show good concurrent validity in community samples (r = .71).
“Good concurrent validity between the EDE-Q and the EDE Restraint subscales has been demonstrated within community samples (r = .71; Mond, Hay, Rodgers, Owen & Beumont, 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mond, Hay, Rodgers, Owen & Beumont, 2004
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Study design and conductreasoningBody mass index was included as a covariate in every analysis.
“We controlled for body mass index (BMI) in all analyses”
- Also stated in: § Statistical Analyses · plain
“Age and BMI were regressed out of log-transformed binge eating scores to ensure results are not due to these confounds.”
Quote in the paperSubstantial claim- Also stated in: § Statistical Analyses · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn the MSUTR sample, the MEBS Binge Eating subscale correlated moderately with depression and anxiety measures.
“Within the MSTUR sample, the MEBS Binge Eating subscale exhibits moderate correlations with measures of depression (r’s = .39–.50) and anxiety (r’s = .35–.47) that are similar to correlations observed for other binge eating measures (Mitchell & Mazzeo, 2004; Spoor et al., 2006).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Mitchell & Mazzeo, 2004
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- cites Spoor et al., 2006
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Study design and conductreasoningAge and body mass index were removed from log-transformed binge eating scores to reduce confounding.
“Age and BMI were regressed out of log-transformed binge eating scores to ensure results are not due to these confounds.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe MEBS Binge Eating subscale has established criterion validity, with women with bulimia nervosa scoring higher than unaffected controls.
“Criterion validity has also been established, as women with BN score significantly higher on the MEBS Binge Eating subscale than unaffected control women (von Ranson et al., 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites von Ranson et al., 2005
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Study design and conductreasoningAge-regressed scores were used so that age differences would not explain the findings.
“Nonetheless, we used age regressed scores to ensure that age differences do not account for findings (see Statistical Analyses).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe MTFS sample is representative of its source population in racial/ethnic background and other key demographics.
“The MTFS sample is representative of the population from which it is drawn in terms of racial/ethnic background and other key demographic variables (i.e., 98% Caucasian; Holdcraft & Iacono, 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Holdcraft & Iacono, 2004
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Classified as probably not a substantial claim.
Study design and conductreasoningThe MEBS Binge Eating subscale is suitable for measuring binge eating across the age range of this sample.
“The MEBS was designed for use with children as young as 10 years and is thus an appropriate measure to capture the construct of binge eating across the age range of the current sample.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataDietary restraint may matter most for people with genetic susceptibility to binge eating, and the two factors together may widen individual differences in risk.
“Results suggest that dietary restraint may be most important for individuals at genetic risk for binge eating, and the combination of these factors could enhance individual differences in risk for binge eating.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenThis study is the first to report a significant gene-environment interaction for dietary restraint in disordered eating risk, and only the second to investigate gene-environment interactions for any eating disorder phenotype.
“This is the first study to report a significant gene-environment interaction for dietary restraint in risk for disordered eating, and only the second published study to investigate gene-environment interactions for any eating disorder phenotype.”
- Also stated in: § Discussion · plain
“This is the first study to report a significant genetic-dietary restraint interaction, and only the second to examine gene-environment interactions for disordered eating phenotypes.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
InterpretationreasoningIndividuals with high dietary restraint and a family history of eating disorders or binge eating are at greater environmental and genetic risk for binge eating.
“individuals with this combination of risk factors (e.g., high dietary restraint and family history of eating disorders or binge eating) are not only at greater environmental risk, but also greater genetic risk for binge eating.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningUsing a non-clinical sample was necessary to increase statistical power for twin moderation analyses and to ensure ample variability in dietary restraint.
“This was necessary to increase statistical power for twin moderation analyses and to ensure that we had ample variability in levels of dietary restraint to examine moderating effects.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningGene-dietary restraint interactions are likely present for binge eating, but the two genes studied so far do not account for interactive effects.
“Our findings collectively indicate that gene-dietary restraint interactions are likely present for binge eating, but the two genes investigated thus far do not account for interactive effects.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe MEBS was developed for children and adolescents and is one of the few acceptable binge eating measures for the sample's age range.
“the MEBS was developed for use with children and adolescents and is thus one of the few acceptable measures of binge eating given the age range of our sample.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites von Ranson et al., 2005
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe combination of genetic/non-shared environmental risk and dietary restraint may be particularly detrimental and appears to enhance individual differences in binge eating risk.
“the combination of genetic/non-shared environmental risk and exposure to dietary restraint may be particularly detrimental and appears to enhance individual differences in risk for binge eating.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNon-shared environmental moderation may reflect gene × non-shared environment interactions.
“non-shared environmental moderation may reflect the presence of gene × non-shared environment interactions (Purcell, 2002).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Purcell, 2002
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSelf-report measures of binge eating have been criticized for overestimating binge eating frequency.
“Self-report measures of binge eating have been criticized for overestimating the frequency of binge eating behaviors (Fairburn & Beglin, 1994; Black & Wilson, 1996).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Fairburn & Beglin, 1994
Not checked in the free run.
- cites Black & Wilson, 1996
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenMost women with bulimia nervosa would be expected to have high dietary restraint, making it difficult to examine etiologic moderation by dietary restraint in a clinical sample.
“Most women with BN would be expected to have high levels of dietary restraint, making it difficult to examine etiologic moderation by dietary restraint in a clinical sample.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe sample had appropriate variability in binge eating scores, with over 8% scoring at or above the clinical cutoff.
“we had appropriate variability with regards to binge eating scores, with over 8% of our sample scoring at or above the clinical cut-off.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDietary restraint may measure an intent to diet rather than decreased caloric intake.
“dietary restraint may tap an ‘intent to diet’ rather than decreased caloric intake (Stice et al., 2004)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stice et al., 2004
Not checked in the free run.
May combine two claims.
InterpretationreasoningDietary restraint is important for non-shared environmental risk for binge eating and may act directly or through genetic risk.
“Taken together, dietary restraint is important for influencing non-shared environmental risk for binge eating and may do so directly or through its effects on genetic risk.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDietary restraint has been prospectively associated with binge eating in previous studies.
“dietary restraint has been prospectively associated with binge eating in previous studies (Jacobi et al., 2004)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Jacobi et al., 2004
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationModeration of non-shared environmental factors has two interpretations within twin models.
“Moderation of non-shared environmental factors has two interpretations within twin models.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataFactors beyond dietary restraint contribute to the genetic and environmental diathesis for binge eating, and dietary restraint is not necessary for these influences.
“many factors in addition to dietary restraint contribute to the genetic and environmental diathesis for binge eating, and engaging in dietary restraint is not necessary for the presence of these influences.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationRacine et al. (2009) examined two genetic polymorphisms for binge eating, whereas the current study used a latent genetic factor representing all genetic effects on binge eating.
“Racine et al. (2009) examined two genetic polymorphisms (i.e., serotonin-2a receptor T102C polymorphism, serotonin transporter promoter polymorphism) for binge eating, while the current study used a latent genetic factor that represents the aggregate of all genetic effects on binge eating.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Racine et al., 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThe results contribute to understanding the biological bases of disordered eating and how behavioral exposure factors may modify genetic risk for eating pathology.
“Our results contribute to a growing understanding of the biological bases of disordered eating and, more importantly, how behavioral exposure factors may modify genetic risk for eating pathology.”
Quote in the paperNot a substantial claim
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Dietary restraint/restriction can lead to rebound bingeing.
“It is well-established that dietary restraint/restriction can lead to rebound bingeing [45] yet it remains unclear if this is a cause or consequence of FA symptoms (discussed in Section 5.1).”
From Food Addiction and Psychosocial Adversity: Biological Embedding, Contextual Factors, and Public Health Implications (2020) · cites this paper as [45]
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- Authors
- Racine, S. E., Burt, S. A., Iacono, W. G., McGue, M., & Klump, K. L.
- Affiliations
- Michigan State University (US)
- University of Minnesota (US)
- Venue
- Journal of Abnormal Psychology
- Published
- 2011-02
- Volume
- 120
- Issue
- 1
- Pages
- 119-128
- ISSN
- 0021-843X (ISSN-L)
- 1939-1846
- PMC
- PMC3057961
- OpenAlex
- W1983413854
- Semantic Scholar
- 2ece0a183506fcf6d342baff29fbdbf4786d6e18
- Cited by
- 61
- References
- 70
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 3 · 2021: 6 · 2020: 4 · 2019: 2 · 2018: 2 · 2017: 5 · 2016: 7 · 2015: 6 · 2014: 3 · 2013: 3 · 2012: 5
- FWCI
- 3.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Abnormal Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Canadian Institutes of Health Research (MDR-96630)
- National Institute of Mental Health (1R21-MH070542-01)
- Michigan State University (71-IRGP-4831)
- National Institute on Drug Abuse (R01-DA-05147)
- National Institute on Alcohol Abuse and Alcoholism (R01-AA-09367)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
- Keywords
- dietary restraint, binge eating, bulimia nervosa, genetic risk, moderation, nonshared environment, twin studies, eating disorders
- MeSH terms
- Adolescent, Adult, Bulimia, Child, Diet, Diseases in Twins, Feeding Behavior, Female, Humans, Michigan, Minnesota, Registries, Risk Factors, Social Environment, Twins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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