Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2009 Dec 1.
Published in final edited form as: Eat Behav. 2008 Apr 10;9(4):493–496. doi: 10.1016/j.eatbeh.2008.04.001

Negative Affect as a Mediator of the Relationship between Weight-Based Teasing and Binge Eating in Adolescent Girls

Jessica L Suisman 1, Jennifer D Slane 1, S Alexandra Burt 1, Kelly L Klump 1
PMCID: PMC2600662  NIHMSID: NIHMS75289  PMID: 18928913

Abstract

Previous research has established a link between weight-based teasing and binge eating, though the precise mechanisms that drive this relationship remain unknown. This study examined negative affect as a mediator of the relationship between weight-based teasing and binge eating. Participants included 265 adolescent female twins (aged 10–15 years). Self-report measures assessed binge eating, weight-based teasing, and negative affect. Mediation was tested within hierarchical linear models to control for the non-independence of the twin data. Significant positive associations were observed between binge eating, teasing, and negative affect. In the regression analyses, negative affect partially mediated associations between weight-based teasing and binge eating. Results suggest that increases in negative affect are one way in which weight-based teasing leads to binge eating in girls. Future studies should examine additional mediators and assess possible clinical applications of these findings.

Keywords: Negative affect, binge eating, eating disorders, teasing, weight-based teasing, disordered eating

1. Introduction

Weight-based teasing has frequently been found to be a precursor to binge eating (e.g. Thompson, Cattarin, Fowler, & Fisher, 1995). Nonetheless, it remains unknown whether there are direct relationships between weight-based teasing and binge eating, or whether these relationships are mediated by other variables. The aim of the present study was to examine the nature of weight-based teasing and binge eating relationships by investigating negative affect as one possible mediator of this association. Negative affect is one of the strongest longitudinal predictors of binge eating (e.g. Stice, 1998) and has been classified as a nonspecific “risk factor” for eating pathology in two separate meta-analyses (Jacobi, Hayward, de Zwaan, Kraemer, & Agras, 2004; Stice, 2002). Negative affect is also associated with weight-based teasing (e.g. Eisenberg, Neumark-Sztainer, & Story, 2003). Thus, negative affect may serve as a mediator of the association between weight-based teasing and binge eating, such that weight-based teasing increases negative affect which, in turn, increases binge eating (see Figure 1). Although researchers have previously called for the need to examine these mediating relationships (Haines & Neumark-Sztainer, 2006), no previous studies have examined this mediation model.

Figure 1.

Figure 1

Negative Affect as a Mediator of Weight-Teasing and Binge Eating

2. Methods

2.1 Participants

Data come from the Michigan State University Twin Registry (MSUTR; see Klump & Burt, 2006 for study recruitment details). The current study examined a total of 265 MSUTR female twins aged 10–15 (M = 12.5; SD 1.4). One of the primary aims of the projects from which data were drawn was to examine disordered eating/steroid hormone relationships. Therefore, exclusion criteria included medication use or medical conditions that could affect steroid hormone levels. The majority of participants in the current study were Caucasian (87%), while the remainder identified themselves as African American (8%) or other ethnicity (5%).

2.2 Measures

2.21 Binge Eating

The binge eating subscale of the Minnesota Eating Behavior Survey (MEBS; Klump, McGue, & Iacono, 2000)1.

2.22 Teasing

The weight-based teasing subscale of Perception of Teasing Scale (POTS; Thompson, Cattarin, Fowler, & Fisher, 1995). Participants were asked to consider teasing that occurred while growing up from age 5 through the present.

2.23 Negative Affect

The Early Adolescent Temperament Questionnaire-Revised (EATQ-R; Ellis & Rothbart, 2001), was used to examine negative affect.

2.24 Pubertal Development

The Pubertal Development Scale (PDS; Petersen, Crockett, Richards, & Boxer, 1988) was used to assess overall pubertal development.

2.25 Body Mass Index

Calculated (Weight in kg / Height in m2) from height and weight measurements obtained using a wall-mounted ruler and digital scale, respectively.

2.3 Statistical Analyses

Binge eating and BMI were log transformed to account for positive skew. Arctan transformations were used to account for positive skew and kurtosis for weight-based teasing. Pearson product correlations were used to examine initial relationships between all variables. The mediation model was then tested using methods developed by Baron and Kenny (1986) and regression analyses implemented within hierarchical linear models (HLM) to account for the non-independence of the twin data. BMI, age, and pubertal development, were included as covariates in all analyses.

3. Results

Expected positive associations were found between binge eating, weight-based teasing and negative affect (see Table 1). In steps one and two of the mediation analyses, weight-based teasing significantly predicted both binge eating and negative affect. Negative affect predicted binge eating in step three, even when controlling for weight-based teasing. In the final step, we evaluated negative affect as a mediator of the association between weight-based teasing and binge eating. Results revealed that the relationship between weight-based teasing and binge eating decreased but remained statistically significant (β=1.6, p=.006), suggesting that negative affect partially mediates associations between weight-teasing and binge eating. Sobel tests (Baron & Kenny, 1986) confirm that negative affect significantly carries the effect of weight-based teasing on binge eating (Z=4.68; p<.0001). Importantly, the final step of the model accounted for one-fifth of the variance in binge eating (pseudo R2=.20; Kenny, Kashy, & Cook, 2006).

Table 1.

Pearson Correlations

Variable Binge Eating Weight-Based Teasing Negative Affect BMI Age Pubertal Development
Binge Eating 1.0 -- -- -- -- --
Weight-Based Teasing .30** 1.0 -- -- -- --
Negative Affect .42** .37** 1.0 -- -- --
BMI .07 .48** .11 1.0 -- --
Age −.02 −.07 .08 .22** 1.0 --
Pubertal Development −.03 .07 .15* .39** .67** 1.0

Note. BMI = body mass index.

*

p<.05,

**

p<.001.

4. Conclusions

The current study extended prior research by evaluating whether negative affect mediated the well-documented association between weight-based teasing and binge eating. Formal tests of mediation suggested that being teased about one’s weight may increase negative affect, which in turn, leads to binge eating. These findings could not be explained by differences in BMI, pubertal status, or age. Importantly, the direct effect of weight-based teasing, and the mediating effects of negative affect, were moderate-to-large (Table 2), suggesting that weight-based teasing may be an important stressor that increases negative affect and begins the chain of events that lead to binge eating.

Table 2.

Hierarchical Linear Model Examining Negative Affect as a Mediator of the Relationship between Weight-Teasing and Binge Eating

Model β (SE) t df p
Step 1: WT → BE (pseudo R2 = .09) 3.04 (.57) 5.32 250 < .001
Covariates
BMI −.27 (.25) −1.09 224 .28
Age .01 (.02) .720 191 .47
Pubertal Development −.005 (.01) −.85 259 .40
Step 2: WT → NA (pseudo R2 = .17) 139 (19) 19.5 233 < .001
Covariates
BMI −19.4 (9) −2.15 241 .03
Age −.52 (.58) .886 193 .38
Pubertal Development .34 (.19) 1.78 259 <.08
Step 3: NA → BE (pseudo R2 = .20)a .01 (.002) 6.2 254 < .001
Covariatesa
BMI −.16 (.23) −.24 229 .81
Age .01 (.01) .411 190 .68
Pubertal Development −.01 (.01) −1.6 258 .11
Step 4: WT and NA → BE (pseudo R2 = .20)a 1.6 (.58) 2.76 245 < .01
Covariatesa
BMI −.16 (.23) −.24 229 .81
Age .01 (.01) .411 190 .68
Pubertal Development −.01 (.01) −1.6 258 .11

Note. WT=Weight Teasing Frequency Subscale of POTS; BE=Binge Eating Subscale of MEBS; BMI=Body Mass Index; NA=Negative Affect Subscale of EATQ. Calculations of pseudo R2 were made with the following equation taken from (Kenny et al., 2006): R2=1Sdd+Se2Sdd+Se2.

a

Pseudo R2 for steps three and four are identical because these parameters are calculated within the same equation.

Our study had limitations that must be acknowledged. First, findings may not generalize to clinical populations, as participants were not clinically diagnosed with BN or BED. Secondly, our cross sectional data did not allow us to infer a temporal relationship among these variables. For example, it could be hypothesized that teasing mediates the relationship between negative affect and binge eating. However, post-hoc analyses demonstrated that this is not the case, as associations between negative affect and binge eating remained unchanged when controlling for levels of teasing (data not shown). Nonetheless, future prospective and experimental studies should examine both models to determine direction of effects. Finally, we used self-report data to assess binge eating, teasing, and negative affect. Additional research using other assessment methods (e.g., interviews) and informants is needed to corroborate our results.

Nevertheless, this study improves understanding of possible mechanisms that drive the relationship between weight-based teasing and binge eating. Our findings suggest that weight-based teasing and negative affect may be important factors to target in intervention and prevention programs aimed at reducing binge eating, particularly in adolescent girls.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

1

The Minnesota Eating Behavior Survey (MEBS; previously known as the Minnesota Eating Disorder Inventory (M-EDI)) was adapted and reproduced by special permission of Psychological Assessment Resources, Inc., 16204 North Florida Avenue, Lutz, Florida 33549, from the Eating Disorder Inventory (collectively, EDI and EDI-2) by Garner, Olmstead, Polivy, Copyright 1983 by Psychological Assessment Resources, Inc. Further reproduction of the MEBS is prohibited without prior permission from Psychological Assessment Resources, Inc.

Contributor Information

Jessica L. Suisman, Email: suismanj@msu.edu.

Jennifer D. Slane, Email: slane@msu.edu.

S. Alexandra Burt, Email: burts@msu.edu.

Kelly L. Klump, Email: klump@msu.edu.

References

  1. Baron R, Kenny D. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal Personality and Social Psychology. 1986;51:1173–1182. doi: 10.1037//0022-3514.51.6.1173. [DOI] [PubMed] [Google Scholar]
  2. Eisenberg M, Neumark-Sztainer D, Story M. Associations of weight-based teasing and emotional well-being among adolescents. Archives of Pediatrics and Adolescent Medicine. 2003;157:733–745. doi: 10.1001/archpedi.157.8.733. [DOI] [PubMed] [Google Scholar]
  3. Ellis L, Rothbart M. Revision of the early adolescent temperament questionnaire; Poster presented at the Biennial Meeting of the Society for Research in Child Development; Minneapolis, Minnesota. 2001. [Google Scholar]
  4. Haines J, Neumark-Sztainer D. Prevention of obesity and eating disorders: A consideration of shared risk factors. Health Education Research: Theory and Practice. 2006;21:770–782. doi: 10.1093/her/cyl094. [DOI] [PubMed] [Google Scholar]
  5. Jacobi C, Hayward C, de Zwaan M, Kraemer H, Agras W. Coming to terms with risk factors for eating disorders: Application of risk terminology and suggestions for a general taxonomy. Psychological bulletin. 2004;131:19–65. doi: 10.1037/0033-2909.130.1.19. [DOI] [PubMed] [Google Scholar]
  6. Kenny D, Kashy D, Cook W. Dyadic data analysis. New York: Guliford Press; 2006. [Google Scholar]
  7. Klump K, Burt S. The Michigan State University Twin Registry (MSUTR): Genetic, environmental, and neurobiological influences on behavior across development. Twin Research and Human Genetics. 2006;9:971–977. doi: 10.1375/183242706779462868. [DOI] [PubMed] [Google Scholar]
  8. Klump K, McGue M, Iacono W. Age differences in genetic and environmental influences on eating attitudes and behaviors in preadolescent and adolescent female twins. Journal of Abnormal Psychology. 2000;109:239–251. [PubMed] [Google Scholar]
  9. Petersen A, Crockett L, Richards M, Boxer A. A self-report measure of pubertal status: Reliability, validity, and initial norms. Journal of Youth and Adolescence. 1988;17:117–133. doi: 10.1007/BF01537962. [DOI] [PubMed] [Google Scholar]
  10. Stice E. Relations of restraint and negative affect to bulimic pathology: A longitudinal test of three competing models. International Journal of Eating Disorders. 1998;23:243–260. doi: 10.1002/(sici)1098-108x(199804)23:3<243::aid-eat2>3.0.co;2-j. [DOI] [PubMed] [Google Scholar]
  11. Stice E. Risk and maintenance factors for eating pathology: A meta-analytic review. Psychologcal Bulletin. 2002;128:825–848. doi: 10.1037/0033-2909.128.5.825. [DOI] [PubMed] [Google Scholar]
  12. Thompson J, Cattarin J, Fowler B, E F. The perception of teasing scale (POTS): A revision and extension of the physical appearance related teasing scale (PARTS) Journal of Personality Assessment. 1995;65:146–157. doi: 10.1207/s15327752jpa6501_11. [DOI] [PubMed] [Google Scholar]

RESOURCES