0
We're unable to sign you in at this time. Please try again in a few minutes.
Retry
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
Retry
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Article |

Relation of Peer and Media Influences to the Development of Purging Behaviors Among Preadolescent and Adolescent Girls FREE

Alison E. Field, SCD; Carlos A. Camargo Jr, MD, DRPH; C. Barr Taylor, MD; Catherine S. Berkey, SCD, MA; Graham A. Colditz, MD, DRPH
[+] Author Affiliations

From the Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (Mss Field and Berkey and Drs Camargo and Colditz); the Department of Emergency Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Dr Camargo); the Department of Psychiatry and Behavioral Science, Stanford Medical School, Stanford, Calif (Dr Taylor); and the Departments of Health Policy and Management (Ms Berkey) and Epidemiology (Dr Colditz), Harvard School of Public Health, Boston.


Arch Pediatr Adolesc Med. 1999;153(11):1184-1189. doi:10.1001/archpedi.153.11.1184.
Text Size: A A A
Published online

Objective  To assess prospectively the relation of peer and media influences on the risk of development of purging behaviors.

Design  Prospective cohort study.

Setting  One year follow-up of 6982 girls aged 9 to 14 years in 1996 who completed questionnaires in 1996 and 1997 and reported in 1996 that they did not use vomiting or laxatives to control weight.

Main Outcome Measure  Self-report of using vomiting or laxatives at least monthly to control weight.

Results  During 1 year of follow-up, 74 girls began using vomiting or laxatives at least monthly to control weight. Tanner stage of pubic hair development was predictive of beginning to purge (odds ratio [OR]=1.8; 95% confidence interval [CI], 1.3-2.4). Independent of age and Tanner stage of pubic hair development, importance of thinness to peers (OR=2.3; 95% CI, 1.8-3.0) and trying to look like females on television, in movies, or in magazines (OR=1.9; 95% CI, 1.6-2.3) were predictive of beginning to purge at least monthly. Regardless of the covariates included in the logistic regression model, the risk of beginning to purge increased approximately 30% to 40% per 1-category increase in frequency of trying to look like females on television, in movies, or in magazines.

Conclusions  Both peers and popular culture, independent of each other, exert influence on girls' weight control beliefs and behaviors. Therefore, to make eating disorder prevention programs more effective, efforts should be made to persuade the television, movie, and magazine industries to employ more models and actresses whose weight could be described as healthy, not underweight.

Figures in this Article

CONCERNS WITH weight and body shape and dieting to lose weight are common among preadolescent and adolescent girls16 and have been suggested as risk factors for eating disorders of at least subsyndromal severity.7 Little is known, however, about how these weight-related concerns arise. The results from predominantly cross-sectional studies of grade school–through college-aged samples suggest that early puberty,8 female sex,9 frequent dieting,10,11 weight concerns,12,13 peer pressure and teasing about weight,14 low self-esteem,1517 and a history of being overweight18 are positively associated with binge eating and purging. The role of the mass media in encouraging girls to form unrealistically thin body ideals1924 has been widely accepted despite a paucity of research directly assessing this association.

There has been little prospective research on the development of bulimic behaviors and eating disorders. Therefore, it is unclear whether some of the risk factors identified only in cross-sectional and retrospective studies are due to differential recall of past events or reverse temporal ordering (ie, the "risk factor" occurred after the behavior or disorder of interest). To our knowledge, no investigators have prospectively assessed the influences of both the media and peers on the development of bulimic behaviors. We analyzed data from approximately 7000 preadolescent and adolescent girls in the Growing Up Today Study, a prospective cohort study, to determine risk factors for beginning to purge to control weight.

The Growing Up Today Study was established in 1996 by sending letters to women participating in the Nurses' Health Study II25 who indicated that they had a child 9 to 14 years of age. The letter briefly explained the goals of the new study and requested permission from the nurse to contact the child or children. Mothers who gave permission provided each child's name, age, sex, and address (if different from the mother's address). The children were then sent a packet including a letter inviting them to participate in a new study and a sex-specific questionnaire. Return of a completed questionnaire was considered consent to participate. The study was approved by Human Subjects Committees at the Harvard School of Public Health and Brigham and Women's Hospital, Boston, Mass. After 2 mailings of the follow-up questionnaire and a reminder e-mail message, approximately 81% of the girls (n=7299) and 72% of the boys (n=5653) returned the 1997 questionnaire.

Mothers who gave us permission to contact their children were slightly less likely to smoke (8% vs 10%) and had slightly lower body mass indices (calculated as weight in kilograms divided by the square of height in meters) (25.3 vs 25.7 kg/m2) and younger (37.7 vs 37.8 years) than the women who did not grant us permission. In addition, among those given permission to participate, children who decided to participate had leaner (25.2 vs 25.5 kg/m2) mothers than children who did not return the baseline questionnaire. However, there was no difference in age (37.7 vs 37.8 years) between ages of mothers of children who decided to join the study and those who declined to participate.

MEASURES
Predictors

All information used to predict incident "cases" of purging in 1997 was collected in 1996 on the baseline questionnaire. Height, weight, and (for the girls) menarcheal status and age at menarche (year and month) were self-reported. Pubertal development was assessed with drawings of the 5 Tanner stages of development of pubic hair. Domains of self-esteem (athletic, social, scholastic, and global) were measured with a modified version of the Self-Perception Profile for Children.26 Although the possible range of values on the modified global self-esteem scale were from 6 to 18, in our sample very few girls had scores below 10. Therefore, all girls with values between 6 and 9 were combined and included in the referent category. Thus, the range of values on the global self-esteem scale was from less than or equal to 9 (counted as 9) to 18.

Questions adopted from the junior high school version of the McKnight Risk Factor Survey27 were used to measure weight concerns, attitudes, and behaviors. The McKnight Risk Factor Survey for junior high school and high school students employs 5 response categories: never/not at all, a little, sometimes/pretty much, a lot, and always/totally. The 7 McKnight Risk Factor Survey–based domains assessed were overconcern with weight, importance of thinness to peers, importance of thinness to adults, teasing and comments about weight by peers, teasing and comments about weight by adults, social eating, and influence of the media. The questions inquiring about influences by adults were modified slightly to include a "don't know" response category. In addition, the media question was slightly modified to assess attempts to look like females on television, in movies, or in magazines. The McKnight Risk Factor Survey–based domains consisted of a varying number of questions, ranging from 1 (influence of the media) to 8 (peer teasing), and therefore were modeled as the mean response category on the subscale (ie, the sum of the items divided by the number of items completed). The responses on each domain ranged from 1 to 5.

Questions on weight control methods (dieting, exercise, self-induced vomiting, diet pills, and laxatives) were adapted from the Youth Risk Behavior Surveillance System questionnaire developed by the Division of Adolescent and School Health at the Centers for Disease Control and Prevention.28 Students who reported using any of these methods to control their weight during the past year were requested to give the frequency of the behavior: "less than once a month," "1-3 times a month," "once a week," "2 to 6 times per week," or "every day." Purging was defined as using laxatives or vomiting at least monthly to control weight.

Outcome

Purging was defined as reported use in 1997 of laxatives or vomiting at least monthly to control weight. Girls who reported no use of laxatives or vomiting in 1996, but who reported purging in 1997 were classified as incident "cases."

VALIDITY OF SELF-REPORT MEASURES—HEIGHT, WEIGHT, TANNER STAGE, AND WEIGHT CONCERNS

Although self-reported weight and height are assumed to be valid and reliable measures of actual weight and height in adult populations,2931 there are minimal data on their validity among preadolescents and adolescents. Shannon et al,32 in a sample of 806 subjects in the sixth grade, report moderately high correlations for weight and height for both boys (r=0.90, r=0.74) and girls (r=0.84, r=0.62). More children tended to underreport than overreport their weight, with the taller and heavier children and girls showing the greatest tendency to do so. The authors did not find a systematic bias in reported heights. Preliminary results from a pilot study we conducted among 39 girls aged 10 to 17 years in Lynn, Mass, did not find a systematic bias in reported weights. Ten percent of the girls who reported their weight underreported it and 3% overreported it. The mean difference between self-reported and measured weight was 1.215 kg (2.7 lb). The correlations between self-report and actual measurements were r=0.98 (P<.001) for weight and r=0.73 (P<.001) for height. We observed correlations of a similar magnitude among 436 female students at a large urban public high school in the northeast (r=0.92 for weight, r=0.89 for body mass index). Thus, the results suggest that preadolescent and adolescent girls provide information on weight and height that is as valid as the information provided by adults.

Self-assessment of maturation has been validated separately by 3 teams of investigators.3335 Overall, subjects' assessments correlate highly with physicians' assessments. Duke et al found κ coefficients between 0.81 to 0.88 for male and female subjects aged 11 to 18 years.33 Morris and Udry,34 assessing a sample of African American, white, and Hispanic children, report moderately high correlations for female subjects (r=0.81 for genital hair and r=0.60 for breast development) and male subjects (r=0.59 for genital development and r=0.63 for genital hair distribution).

The McKnight Risk Factor Survey is a validated self-report instrument for preadolescents and adolescents.27 Among girls in junior high school, the test-retest correlations and Cronbach α were moderate to high for the 7 subscales relevant to our study: overconcern with weight (test-retest=0.84, Cronbach α=.86), influence of the media (test-retest=0.66, only 1 question so no Cronbach α), teasing or comments about weight by peers (test-retest=0.76, Cronbach α=.85), teasing or comments about weight by adults (test-retest=0.63, Cronbach α=.67), importance of thinness to peers (test-retest=0.62, Cronbach α=.54), importance of thinness to parents (test-retest=0.59, Cronbach α=.75), and change in eating patterns around peers (test-retest=0.77, Cronbach α=.63).

SAMPLE

The analysis was restricted to girls because the incidence of purging was too low among the boys to conduct meaningful analyses. Among the 9039 girls who completed the 1996 questionnaire, 8882 were eligible for the prospective analysis because they reported they were not using vomiting or laxatives to control weight. An additional 1693 girls were excluded from the analysis because they did not return the 1997 questionnaires. Although girls who returned only the baseline questionnaire were more likely than girls who completed both questionnaires to have been trying to lose weight in 1996 (35% vs 30%), the 2 groups of girls were similar in the prevalence of being overweight (18% vs 19%) and of constant dieting (3% vs 2%).

Participants were excluded from analysis if they were older than 14 years in 1996 (n=140), provided no or implausible information on height or weight for height (n=110), or failed to provide information on purging in 1997 (n=11). Thus, 6928 girls were included in the analysis.

ANALYSIS

All analyses were conducted with SAS software.36 Logistic regression was used to assess the risk factors for purging at least monthly. All logistic regression models were adjusted for age and Tanner stage of pubic hair development. All P values are 2-sided, with P<.05 considered statistically significant.

At baseline, the sample was almost equally distributed over the age range, and 79% of girls reported being in Tanner stages 2 through 5 of pubic hair development (Table 1). Dieting and concern with weight and dieting were common. Approximately 29% of the girls had been on a diet to lose weight during the preceding year, and 14% reported that they were concerned with their weight a lot or always. In addition, 6% of girls reported making considerable effort to look like females on television, in movies, or in magazines, 6% changed their eating patterns a lot or always around peers, 4% reported that thinness was quite important to their peers, and 2% reported being teased a lot or always by peers.

Table Graphic Jump LocationTable 1. Distribution of Age and Tanner Stage of Pubic Hair Development Among 6928 Preadolescent and Adolescent US Girls

During a 1-year follow-up period, 74 of the 6928 girls in the Growing Up Today Study began to use vomiting or laxatives at least monthly to control their weight. Among the 74 girls, 54% purged less than weekly, 16% purged once a week, and 30% use vomiting or laxatives 2 or more times per week. Although the incidence seemed to increase with age from 0.1% among the girls aged 9 years to 2.0% among girls aged 14 years (P for trend <.001) (Figure 1, left), the association was confounded by maturational stage (Figure 1, right). When Tanner stage of pubic hair development and age were entered simultaneously as categorical variables in a logistic regression model, Tanner stage of pubic hair development (odds ratio [OR]=1.8, 95% confidence interval [CI], 1.3-2.4) was more predictive of beginning to purge at least monthly than was age (OR=1.2, 95% CI, 0.9-1.5).

Place holder to copy figure label and caption

Top, One-year cumulative incidence of beginning to purge by age among girls aged 9 to 14 years in the Growing Up Today Study. Bottom, One-year cumulative incidence of beginning to purge by Tanner stage of pubic hair development among girls aged 9 to 14 years in the Growing Up Today Study.

Graphic Jump Location

Independent of age and Tanner stage of pubic hair development, frequency of dieting in 1996 (OR=1.5, 95% CI, 1.3-1.7) was predictive of beginning to purge at least monthly in the following year (Table 2). Concern with weight and shape (OR=2.3, 95% CI, 1.9-2.9), importance of thinness to peers (OR=2.3, 95% CI, 1.8-3.0), changing eating patterns around peers (OR=2.1, 95% CI, 1.7-2.6), and trying to look like females on television, in movies, or in magazines (OR=1.9, 95% CI, 1.6-2.3) were also predictive of beginning to purge. Not surprisingly, the predictors were related. Therefore, when several domains from the McKnight Risk Factor Survey and dieting were entered simultaneously in one model, the ORs for these factors were attenuated, but remained significant (Table 2). For example, regardless of which McKnight Risk Factor Survey domains were entered into the model, the risk of beginning to purge increased approximately 30% to 40% per 1-category increase in frequency of trying to look like females on television, in movies, or in magazines.

Table Graphic Jump LocationTable 2. Odds Ratios (95% Confidence Intervals) for Predictors of Developing Purging Behaviors Between 1996 and 1997* Among Preadolescent and Adolescent Girls in the Growing Up Today Study

Although teasing by peers, independent of age and Tanner stage of pubic hair development, was predictive of purging (OR=2.0, 95% CI, 1.6-2.6), the association was completely confounded by other domains from the modified McKnight Risk Factor Survey. Thus, when any other domains were entered into a model simultaneously with teasing by peers, the latter was no longer of even borderline significance (data not shown). In contrast, regardless of the choice of covariates, level of self-esteem was inversely related to beginning to purge at least monthly (OR per unit of self-esteem=0.8-0.9).

In a 1-year period, we observed that approximately 1% of the preadolescent and adolescent girls began to purge at least monthly to control weight. Personal, peer, and cultural factors were independently associated with the development of purging. Independent of age, girls who were further along in their maturational development were more likely than their less developed peers to begin purging to control their weight. Thus, our findings are consistent with those of Killen et al8 who observed that, even after adjusting for age and body mass index, the risk of having an eating disorder of at least subthreshold severity increased approximately 1.8-fold with each increase in sexual maturational stage.

Our results were consistent with previous research that has found that concern with weight and dieting were common among preadolescent and adolescent girls and are predictive of the development of bulimic behaviors among them.10,13,37,38 A more novel but related finding was that the more girls changed their eating patterns around peers, the more likely they were to begin purging within the next year. Thus, we observed that seemingly "benign" weight control behaviors were an early step in a pathway to developing unhealthy weight control behaviors. Thus, our findings support the continuum theory of eating disorders.39 Further follow-up of the cohort will allow us to assess predictors of developing more serious eating disorders and to ascertain the proportion of girls who progress from occasional to frequent use of purging to control weight.

Identifying risk factors for eating disorders and their precursors is essential for the development of effective prevention programs. The severity of the mental and physical health consequences of eating disorders, coupled with the fact that they are difficult to treat, suggests that the emphasis should be placed on prevention. Owing to the paucity of prospective studies, little is known with certainty about risk factors. With the exception of factors that do not change over time, such as sex, associations observed in cross-sectional or retrospective studies can be misleading owing to either erroneous recall of past events or reverse causality (ie, the suspected "risk factor" occurred after or because of the disorder of interest). Nevertheless, our results are consistent with those from several cross-sectional and retrospective studies that observed that frequent or unhealthy dieting is associated with an increased risk of bulimic behaviors11,40 or eating disorders,15,41 and high levels of self-esteem, with a decreased risk.

We observed that both peers and popular culture, independent of each other, exert influence on girls' weight control beliefs and behaviors. We are unaware of any other prospective study that has assessed the influence of the media on the development of bulimic behaviors. We observed that, independent of known and suspected predictors, the more effort a girl reported that she made to look like females on television, in movies, or in magazines, the higher her risk of beginning to use vomiting or laxatives to control her weight. Thus, our results support those from several cross-sectional studies that have observed an association between weight concerns and frequency of reading fashion magazines42,43 or trying to look like females in the media.7 Moreover, the more emphasis a girl's peers placed on thinness, the more likely she was to begin using laxatives or vomiting to control weight. Therefore, for eating disorder prevention programs to be effective, they must include components aiming to increase girls' resistance to peer pressure. It is unclear where the girl's peers learned to place such emphasis on thinness, but our results suggest that the mass media exerted some of the influence.

To date, no eating disorder prevention program has proved to be effective at changing weight-related attitudes or weight-control behaviors.4446 Our observation that friends or peers and popular culture have powerful influences on young girls and adolescents supports the suggestion by Taylor and Altman44 that a successful intervention must address personal, peer, and cultural factors. Unfortunately, most of the research on the effects of the media has been indirect, only discussing the trend toward an increasingly thin and androgenous body ideal for female models, or documenting the increasing number of articles related to diet and weight.47 Nevertheless, our results demonstrate that the popular media are partially responsible for creating unrealistic body-image goals for young girls and adolescents. However, it is important to note that we did not ask the girls how they were trying to look like models and actresses. Thus, it is possible that some girls were trying to emulate the clothing and hairstyles, but not weight or shape, of these females.

Our findings offer further evidence of the negative effect of the media on preadolescents and adolescents. The media should be discouraged from using actresses and models who would be considered severely underweight by the medical community. According to the World Health Organization, a woman with a body mass index below 17 kg/m2, the equivalent of a woman 165.24 cm (5 ft 6 in) tall weighing less than 47.25 kg (105 lb), is severely underweight.48 Although the print media publishes articles on the deleterious effects of severe dieting, bulimic behaviors, and maintaining a very low body weight, the articles frequently are included in the same issue as pictures of excessively thin models. It is likely that these pictures undermine the potential beneficial effect of the articles, as opposed to lessen the detrimental impact of the photos. More research is needed to determine why and how girls are trying to look like females in the media. Moreover, additional prospective studies are needed to assess the relative influence of striving to look like models and actresses on television, in movies, and in magazines on the development of excessive weight concerns and initiation of purging to control weight.

Accepted for publication April 20, 1999.

This study was supported in part by grant DK 46200 from the Boston Obesity Nutrition Research Center, Boston, Mass (Drs Field and Colditz), and by grant HL-03533 from the National Institutes of Health, Bethesda, Md (Dr Camargo). Additional funding was provided by research grant DK-46834 from the National Institutes of Health (Dr Colditz), and Knoll Pharmaceutical, Mount Olive, NJ (Dr Field).

Editor's Note: The solution to the problem identified in this study: purge television and magazines of models who don't look like anyone from the world we live in. Let's get real!—Catherine D. DeAngelis, MD

Corresponding author: Alison E. Field, ScD, Channing Laboratory, 181 Longwood Ave, Boston, MA 02115 (e-mail: Alison.Field@channing.harvard.edu).

Field  AEWolf  AMHerzog  DBCheung  LColditz  GA The relationship of caloric intake to frequency of dieting among preadolescent and adolescent girls. J Am Acad Child Adolesc Psychiatry. 1993;321246- 1252
Casper  RCOffer  D Weight and dieting concerns in adolescents: fashion or symptom? Pediatrics. 1990;86384- 390
Chandarana  PHelmes  EBenson  N Eating attitudes as related to demographic and personality characteristics: a high school survey. Can J Psychiatry. 1988;33834- 837
Crowther  JHPost  GZaynor  L The prevalence of bulimia and binge eating in adolescent girls. Int J Eat Disord. 1985;429- 42
Desmond  SMPrice  JHGray  NO'Connell  JK The etiology of adolescents' perceptions of their weight. J Youth Adolesc. 1986;15461- 473
Moses  NBanilivy  MMLifshitz  F Fear of obesity among adolescent girls. Pediatrics. 1989;83393- 398
Taylor  CBAltman  TShisslak  CM  et al.  Factors associated with weight concerns in adolescents. Int J Eat Disord. 1998;2431- 42
Killen  JDHayward  CLitt  I  et al.  Is puberty a risk factor for eating disorders? Am J Dis Child. 1992;146323- 325
Killen  JDTaylor  CBTelch  MJ  et al.  Self-induced vomiting and laxative and diuretic use among teenagers: precursors of the binge-purge syndrome? JAMA. 1986;2551447- 1449
Patton  GCJohnson-Sabine  EWood  KMann  AHWakeling  A Abnormal eating attitudes in London schoolgirls: a prospective epidemiologic study: outcome at twelve month follow-up. Psychol Med. 1990;20383- 394
Story  MRosenwinkel  KHimes  JHResnick  MHarris  LJBlum  RW Demographic and risk factors associated with chronic dieting in adolescents. Am J Dis Child. 1991;145994- 998
Killen  JDTaylor  CBHayward  C  et al.  The pursuit of thinness and onset of eating disorder symptoms in a community sample of adolescent girls: a three-year prospective analysis. Int J Eat Disord. 1994;16227- 238
Killen  JDTaylor  CBHayward  C  et al.  Weight concerns influence the development of eating disorders: a four-year prospective analysis. J Consult Clin Psychol. 1996;64936- 940
Thompson  JKCoovert  MDRichards  KJJohnson  SCattarin  J Development of body image, eating disturbance, and general psychological functioning in female adolescents: covariance structure modeling and longitudinal investigation. Int J Eat Disord. 1995;18221- 236
Williams  GJPower  KGMillar  HR  et al.  Comparison of eating disorders and other dietary/weight groups on measures of perceived control, assertiveness, self-esteem, and self-directed hostility. Int J Eat Disord. 1993;1427- 32
Kendler  KSMacLean  CNeale  MKessler  RHeath  AEaves  L The genetic epidemiology of bulimia nervosa. Am J Psychiatry. 1991;1481627- 1637
Button  EJSonuga-Barke  EJSDavies  JThompson  M A prospective study of self-esteem in the prediction of eating problems in adolescent schoolgirls: questionnaire findings. Br J Clin Psychol. 1996;35193- 203
Timmerman  MGWells  LAChen  S Bulimia nervosa and associated alcohol abuse among secondary school students. J Am Acad Child Adolesc Psychiatry. 1990;29118- 122
Tiggemann  MPickering  AS Role of television in adolescent women's body dissatisfaction and drive for thinness. Int J Eat Disord. 1996;20199- 203
Wiseman  CVGray  JJMosimann  JEAhrens  AH Cultural expectations of thinness in women: an update. Int J Eat Disord. 1992;1185- 89
Silverstein  BPerdue  LPeterson  BBogel  LFantini  DA Possible causes of the thin standard of bodily attractiveness for women. Int J Eat Disord. 1986;5907- 916
Silverstein  BPerdue  LPeterson  BKelley  E The role of the mass media in promoting a thin standard of bodily attractiveness for women. Sex Roles. 1986;14519- 533
Silverstein  BPeterson  BPerdue  L Some correlates of the thin standard of bodily attractiveness for women. Int J Eat Disord. 1986;5895- 905
Garner  DMGarfinkle  PE Socio-cultural factors in the development of anorexia nervosa. Psychol Med. 1980;10647- 656
Solomon  CGWillett  WCCarey  VJ  et al.  A prospective study of the pregravid determinants of gestational diabetes mellitus. JAMA. 1997;2781078- 1083
Harter  S Manual for the Self-Perception Profile for Children.  Denver, Colo University of Denver1985;
Shisslak  CMRenger  RSharpe  T  et al.  Development and evaluation of the McKnight Risk Factor Survey for assessing potential risk factors and protective factors for disordered eating in preadolescent and adolescent girls. Int J Eat Disord. 1999;25195- 214
Kann  LWarren  CWHarris  WACollins  JLWilliams  BIRoss  JGKolbe  LJ Youth Risk Behavior Surveillance-United States, 1995. MMWR Morb Mortal Wkly Rep. 1996;45
Wing  RREpstein  LHOssio  DJ  et al.  Reliability and validity of self-report and observer's estimate of relative weight. Addict Behav. 1979;4133- 140
Pirie  PJacobs  DJeffrey  R  et al.  Distortion in self-reported height and weight data. J Am Diet Assoc. 1981;78601- 606
Palta  MPrineas  RJBerman  RHannan  P Comparison of self-reported and measured height and weight. Am J Epidemiol. 1982;115223- 230
Shannon  BSmiciklas-Wright  HWang  MQ Inaccuracies in self-reported weights and heights of a sample of sixth-grade children. J Am Diet Assoc. 1991;91675- 678
Duke  PMLitt  IFGross  RT Adolescents' self-assessment of sexual maturation. Pediatrics. 1980;66918- 920
Morris  NMUdry  JR Validation of a self-administered instrument to assess stage of adolescent development. J Youth Adolesc. 1980;9271- 280
Neinstein  LS Adolescent self-assessment of sexual maturation. Clin Pediatr. 1982;21482- 484
SAS Institute Inc, SAS User's Guide: Statistics. 4th ed. Cary, NC SAS Institute1990;
Field  AEColditz  GAPeterson  KE Racial/ethnic and gender differences in concern with weight and bulimic behaviors among adolescents. Obes Res. 1997;5447- 454
Story  MFrench  SAResnick  MDBlum  RW Ethnic/racial and socioeconomic differences in dieting behaviors and body image perceptions in adolescents. Int J Eat Disord. 1995;18173- 179
Shisslak  CMCrago  MEstes  LS The spectrum of eating disturbances. Int J Eat Disord. 1995;18209- 219
Neumark-Sztainer  DButler  RPalti  H Dieting and binge eating: which dieters are at risk? J Am Diet Assoc. 1995;95586- 589
Fairburn  CGWelch  SLDoll  HADavies  BAO'Connor  ME Risk factors for bulimia nervosa: a community-based case-control study. Arch Gen Psychiatry. 1997;54509- 517
Levine  MPSmolak  LHayden  H The relation of sociocultural attitudes and behaviors among middle school girls. J Early Adolesc. 1994;14471- 490
Field  AECheung  LWolf  AMHerzog  DBGortmaker  SLColditz  GA Exposure to the mass media and weight concerns among girls. Pediatrics. 1999;10336
Taylor  CBAltman  T Priorities in prevention research for eating disorders. Psychopharmacol Bull. 1997;33413- 417
Piran  N Prevention of eating disorders: directions for future research. Psychopharmacol Bull. 1997;33419- 423
Battle  EKBrownell  KB Confronting the rising tide of eating disorders and obesity: treatment vs prevention and policy. Addict Behav. 1996;21755- 765
Levine  MPSmolak  L Media as a context for the development of disordered eating. Smolak  LLevine  MPR  Streigel-Mooreeds.The Developmental Psychopathology of Eating Disorders Mahwah, NJ Lawrence A Erlbaum Associates1996;235- 257
Not Available, Physical Status: The Use and Interpretation of Anthropometry.  Geneva, Switzerland World Health Organization1995;WHO Technical Report Series 854.

Figures

Place holder to copy figure label and caption

Top, One-year cumulative incidence of beginning to purge by age among girls aged 9 to 14 years in the Growing Up Today Study. Bottom, One-year cumulative incidence of beginning to purge by Tanner stage of pubic hair development among girls aged 9 to 14 years in the Growing Up Today Study.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1. Distribution of Age and Tanner Stage of Pubic Hair Development Among 6928 Preadolescent and Adolescent US Girls
Table Graphic Jump LocationTable 2. Odds Ratios (95% Confidence Intervals) for Predictors of Developing Purging Behaviors Between 1996 and 1997* Among Preadolescent and Adolescent Girls in the Growing Up Today Study

References

Field  AEWolf  AMHerzog  DBCheung  LColditz  GA The relationship of caloric intake to frequency of dieting among preadolescent and adolescent girls. J Am Acad Child Adolesc Psychiatry. 1993;321246- 1252
Casper  RCOffer  D Weight and dieting concerns in adolescents: fashion or symptom? Pediatrics. 1990;86384- 390
Chandarana  PHelmes  EBenson  N Eating attitudes as related to demographic and personality characteristics: a high school survey. Can J Psychiatry. 1988;33834- 837
Crowther  JHPost  GZaynor  L The prevalence of bulimia and binge eating in adolescent girls. Int J Eat Disord. 1985;429- 42
Desmond  SMPrice  JHGray  NO'Connell  JK The etiology of adolescents' perceptions of their weight. J Youth Adolesc. 1986;15461- 473
Moses  NBanilivy  MMLifshitz  F Fear of obesity among adolescent girls. Pediatrics. 1989;83393- 398
Taylor  CBAltman  TShisslak  CM  et al.  Factors associated with weight concerns in adolescents. Int J Eat Disord. 1998;2431- 42
Killen  JDHayward  CLitt  I  et al.  Is puberty a risk factor for eating disorders? Am J Dis Child. 1992;146323- 325
Killen  JDTaylor  CBTelch  MJ  et al.  Self-induced vomiting and laxative and diuretic use among teenagers: precursors of the binge-purge syndrome? JAMA. 1986;2551447- 1449
Patton  GCJohnson-Sabine  EWood  KMann  AHWakeling  A Abnormal eating attitudes in London schoolgirls: a prospective epidemiologic study: outcome at twelve month follow-up. Psychol Med. 1990;20383- 394
Story  MRosenwinkel  KHimes  JHResnick  MHarris  LJBlum  RW Demographic and risk factors associated with chronic dieting in adolescents. Am J Dis Child. 1991;145994- 998
Killen  JDTaylor  CBHayward  C  et al.  The pursuit of thinness and onset of eating disorder symptoms in a community sample of adolescent girls: a three-year prospective analysis. Int J Eat Disord. 1994;16227- 238
Killen  JDTaylor  CBHayward  C  et al.  Weight concerns influence the development of eating disorders: a four-year prospective analysis. J Consult Clin Psychol. 1996;64936- 940
Thompson  JKCoovert  MDRichards  KJJohnson  SCattarin  J Development of body image, eating disturbance, and general psychological functioning in female adolescents: covariance structure modeling and longitudinal investigation. Int J Eat Disord. 1995;18221- 236
Williams  GJPower  KGMillar  HR  et al.  Comparison of eating disorders and other dietary/weight groups on measures of perceived control, assertiveness, self-esteem, and self-directed hostility. Int J Eat Disord. 1993;1427- 32
Kendler  KSMacLean  CNeale  MKessler  RHeath  AEaves  L The genetic epidemiology of bulimia nervosa. Am J Psychiatry. 1991;1481627- 1637
Button  EJSonuga-Barke  EJSDavies  JThompson  M A prospective study of self-esteem in the prediction of eating problems in adolescent schoolgirls: questionnaire findings. Br J Clin Psychol. 1996;35193- 203
Timmerman  MGWells  LAChen  S Bulimia nervosa and associated alcohol abuse among secondary school students. J Am Acad Child Adolesc Psychiatry. 1990;29118- 122
Tiggemann  MPickering  AS Role of television in adolescent women's body dissatisfaction and drive for thinness. Int J Eat Disord. 1996;20199- 203
Wiseman  CVGray  JJMosimann  JEAhrens  AH Cultural expectations of thinness in women: an update. Int J Eat Disord. 1992;1185- 89
Silverstein  BPerdue  LPeterson  BBogel  LFantini  DA Possible causes of the thin standard of bodily attractiveness for women. Int J Eat Disord. 1986;5907- 916
Silverstein  BPerdue  LPeterson  BKelley  E The role of the mass media in promoting a thin standard of bodily attractiveness for women. Sex Roles. 1986;14519- 533
Silverstein  BPeterson  BPerdue  L Some correlates of the thin standard of bodily attractiveness for women. Int J Eat Disord. 1986;5895- 905
Garner  DMGarfinkle  PE Socio-cultural factors in the development of anorexia nervosa. Psychol Med. 1980;10647- 656
Solomon  CGWillett  WCCarey  VJ  et al.  A prospective study of the pregravid determinants of gestational diabetes mellitus. JAMA. 1997;2781078- 1083
Harter  S Manual for the Self-Perception Profile for Children.  Denver, Colo University of Denver1985;
Shisslak  CMRenger  RSharpe  T  et al.  Development and evaluation of the McKnight Risk Factor Survey for assessing potential risk factors and protective factors for disordered eating in preadolescent and adolescent girls. Int J Eat Disord. 1999;25195- 214
Kann  LWarren  CWHarris  WACollins  JLWilliams  BIRoss  JGKolbe  LJ Youth Risk Behavior Surveillance-United States, 1995. MMWR Morb Mortal Wkly Rep. 1996;45
Wing  RREpstein  LHOssio  DJ  et al.  Reliability and validity of self-report and observer's estimate of relative weight. Addict Behav. 1979;4133- 140
Pirie  PJacobs  DJeffrey  R  et al.  Distortion in self-reported height and weight data. J Am Diet Assoc. 1981;78601- 606
Palta  MPrineas  RJBerman  RHannan  P Comparison of self-reported and measured height and weight. Am J Epidemiol. 1982;115223- 230
Shannon  BSmiciklas-Wright  HWang  MQ Inaccuracies in self-reported weights and heights of a sample of sixth-grade children. J Am Diet Assoc. 1991;91675- 678
Duke  PMLitt  IFGross  RT Adolescents' self-assessment of sexual maturation. Pediatrics. 1980;66918- 920
Morris  NMUdry  JR Validation of a self-administered instrument to assess stage of adolescent development. J Youth Adolesc. 1980;9271- 280
Neinstein  LS Adolescent self-assessment of sexual maturation. Clin Pediatr. 1982;21482- 484
SAS Institute Inc, SAS User's Guide: Statistics. 4th ed. Cary, NC SAS Institute1990;
Field  AEColditz  GAPeterson  KE Racial/ethnic and gender differences in concern with weight and bulimic behaviors among adolescents. Obes Res. 1997;5447- 454
Story  MFrench  SAResnick  MDBlum  RW Ethnic/racial and socioeconomic differences in dieting behaviors and body image perceptions in adolescents. Int J Eat Disord. 1995;18173- 179
Shisslak  CMCrago  MEstes  LS The spectrum of eating disturbances. Int J Eat Disord. 1995;18209- 219
Neumark-Sztainer  DButler  RPalti  H Dieting and binge eating: which dieters are at risk? J Am Diet Assoc. 1995;95586- 589
Fairburn  CGWelch  SLDoll  HADavies  BAO'Connor  ME Risk factors for bulimia nervosa: a community-based case-control study. Arch Gen Psychiatry. 1997;54509- 517
Levine  MPSmolak  LHayden  H The relation of sociocultural attitudes and behaviors among middle school girls. J Early Adolesc. 1994;14471- 490
Field  AECheung  LWolf  AMHerzog  DBGortmaker  SLColditz  GA Exposure to the mass media and weight concerns among girls. Pediatrics. 1999;10336
Taylor  CBAltman  T Priorities in prevention research for eating disorders. Psychopharmacol Bull. 1997;33413- 417
Piran  N Prevention of eating disorders: directions for future research. Psychopharmacol Bull. 1997;33419- 423
Battle  EKBrownell  KB Confronting the rising tide of eating disorders and obesity: treatment vs prevention and policy. Addict Behav. 1996;21755- 765
Levine  MPSmolak  L Media as a context for the development of disordered eating. Smolak  LLevine  MPR  Streigel-Mooreeds.The Developmental Psychopathology of Eating Disorders Mahwah, NJ Lawrence A Erlbaum Associates1996;235- 257
Not Available, Physical Status: The Use and Interpretation of Anthropometry.  Geneva, Switzerland World Health Organization1995;WHO Technical Report Series 854.

Correspondence

CME
Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Comment

Multimedia

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics