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July 5, 2010

Self-control as a Protective Factor Against Overweight Status in the Transition From Childhood to Adolescence

Author Affiliations

Author Affiliations: University of Pennsylvania, Philadelphia (Mr Tsukayama and Drs Faith and Duckworth); Division of General Pediatrics, Children's Hospital Boston and Harvard Medical School, Boston, Massachusetts (Dr Toomey).

Arch Pediatr Adolesc Med. 2010;164(7):631-635. doi:10.1001/archpediatrics.2010.97

Objective  To determine whether more self-controlled children are protected from weight gain as they enter adolescence.

Design  Prospective, longitudinal study.

Setting  Ten sites across the United States from 1991 to 2007.

Participants  The 844 children in the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development birth cohort who had height and weight information at 15 years of age in 2006.

Main Exposure  A composite measure of self-control was created from mother, father, and teacher-reported ratings using items from the Social Skills Rating System.

Outcome Measure  Overweight status at 15 years of age.

Results  Approximately one-third of the sample (n = 262) was overweight at 15 years of age. Compared with their nonoverweight peers, overweight adolescents aged 15 years were about a half standard deviation (SD) lower in self-control at 9 years of age (unstandardized difference, 0.15; pooled SD, 0.29; P < .001). Children rated higher by their parents and teachers in self-control at 9 years of age were less likely to be overweight at 15 years (relative risk, 0.74; 95% confidence interval, 0.56-0.98), controlling for overweight status at 10 years of age, pubertal development, age, intelligence quotient, sex, ethnicity, socioeconomic status, and maternal overweight status.

Conclusion  More self-controlled boys and girls are less likely to become overweight as they enter adolescence. The ability to control impulses and delay gratification enables children to maintain a healthy weight, even in today's obesogenic environment.

Body fat increases during the transition from childhood to adolescence. However, rapid increases in body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) relative to one's sex and age cohort during this period predict a range of negative health outcomes in adulthood including coronary events, diabetes mellitus, and subcutaneous and visceral adipose tissue.14 Moreover, excessive weight gain in adolescence is particularly prognostic of adulthood weight problems, suggesting adolescence as a critical period for the development of obesity.5,6 Previously identified risk/protective factors for excessive weight in adolescence include pubertal development, ethnicity, and socioeconomic status.79 Less is known about relevant psychological variables including self-control.

Self-control is the ability to override impulses to achieve goals and maintain standards. The capacity to resist immediate temptations to act in one's best long-term interests is among the most important developmental milestones in the social development of children.10,11 Relative to their more impulsive peers, self-controlled children are less likely to engage in delinquent behavior and earn higher report card grades and achievement test scores.12,13 Prospective longitudinal studies suggest that self-control in childhood predicts a range of consequential adult outcomes including life expectancy, career success, and years of education.1417

Two analyses of the 1991-2007 National Institute of Child Health and Human Development Study of Early Child Care and Youth Development birth cohort suggest that more self-controlled preschoolers stay leaner than their more impulsive peers as they enter middle childhood.18,19 One analysis did not control for the possible confound of maternal BMI.18 In a second analysis, when maternal BMI was controlled, the association between self-control and BMI was no longer significant.19 Thus, while suggestive, prior research has not unequivocally established a causal role for self-control in determining weight gain during development.

One might expect the influence of self-control on weight to increase as children mature and are granted more autonomy from their parents.20,21 Indeed, before 7 years of age, children are generally quite adept at self-regulating their energy intake,22,23 although this ability appears to worsen in later childhood and adolescence.24,25 Moreover, the entry into adolescence typically is accompanied by unprecedented independence from parents in lifestyle choices including what and how much to eat. In the current obesogenic environment, more self-controlled children would be expected to make decisions that maximize long-term well-being, even at the expense of short-term gratification.

The primary aim of our study was to examine self-control at 9 years of age as a protective factor against overweight status at 15 years. We hypothesize that self-control inversely predicts overweight status in adolescence, controlling for potential confounders shown to be associated with adolescent BMI including pubertal development, maternal overweight status, socioeconomic status, ethnicity, and intelligence.79,26,27


The participants were 844 children from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (NICHD-SECCYD). The NICHD-SECCYD is a longitudinal multisite study originally designed to examine the effects of child care on development. Details of study recruitment and data collection protocols are described on the study's Web site (https://secc.rti.org/). Data collection was approved by the appropriate institutional review boards for each study site in the NICHD-SECCYD, and written informed consent was received from each family. We used data collected between 9 and 15 years of age. Of the 1364 participants in the NICHD-SECCYD, we included the 844 children who had their height and weight measured at 15 years of age.


When the children were aged 9 years, mothers (or the primary caregiver; n = 820), fathers (or another adult if the father was not available, eg, grandparent; n = 565), and classroom teachers (n = 730) completed the parent and teacher versions of the Social Skills Rating System questionnaire.28 The Social Skills Rating System is a widely used inventory of positive child behaviors that caregivers rate on a 3-point frequency scale ranging from 0 = never to 2 = very often. We followed best practices in personality psychology by using ratings from all 3 sources to maximize reliability and accuracy.29 Specifically, we considered content validity and correspondence with previously validated measures of self-control30,31 when selecting Social Skills Rating System items related to self-control (Table 1). Next, we confirmed that observed internal reliability coefficients for mother, father, and teacher scales were acceptable (range, α = .73-.86; average, α = .78) and that scores were significantly correlated (range, r = 0.32-0.52; average, r = 0.40; all P <.001). We averaged the items for each rater and then created a composite measure of self-control by averaging the mother, father, and teacher ratings. The correlations of each rating with the composite measure were about 0.80, and the internal reliability of this composite was r = 0.87, according to a formula specific to linear combinations of scores.32 Approximately 59% of participants had mother, father, and teacher ratings, 34% were missing 1 of these scores, and 7% were missing 2 of the scores. We averaged the 2 nonmissing scores for participants who were missing one score, and we used the single nonmissing score for participants who were missing 2 scores.

Table 1. 
Social Skill Rating System Items Used to Assess Self-control at 9 Years of Agea
Social Skill Rating System Items Used to Assess Self-control at 9 Years of Agea
Overweight Status

Nurse practitioners or pediatric endocrinologists measured children's height and weight during health and physical development assessments using standardized protocols at 10 and 15 years of age. Height was recorded to the nearest one-eighth of an inch and weight in pounds and ounces. Both height and weight were measured twice. If the height measurements differed by more than half an inch or if the weight measurements differed by more than 4 ounces, then 2 new measurements were obtained to verify the respective measures. Height and weight measures were converted to metric units, and BMI scores were calculated. Raw BMI scores were then converted to age- and sex-specific BMI z scores using the Center for Disease Control and Prevention 2000 growth reference charts.33 We classified children with BMI z scores greater than 1.036 (85th percentile) as overweight.

Pubertal Status

During the health and physical development assessments, nurse practitioners or pediatric endocrinologists assessed children's pubertal development using Tanner Stage criterion. Girls were assessed in terms of breast development on a 5-point scale ranging from 1 = no breast development to 5 = mature adult stage, and boys were assessed in terms of genital development on a 5-point scale ranging from 1 = same size and shape as in childhood to 5 = mature adult stage. Pubertal status was defined as the Tanner Stage rating at 15 years of age, or 5 if no Tanner Stage rating was available at 15 years but a previous rating was 5 (ie, mature adult stage). Because this variable was highly skewed (500 patients for stage 5 vs 105 for stage 4, 14 for stage 3, and 1 for stage 2), we created a binary variable indicating attainment of stage 5.


We used the full-scale IQ score from the Wechsler Abbreviated Scale of Intelligence given when the children were aged 9 years.34 The 4 subtests, Vocabulary, Block Design, Similarities, and Matrix Reasoning measure verbal knowledge, verbal and nonverbal reasoning, and visual information processing. The Wechsler Abbreviated Scale of Intelligence is highly correlated with the longer Wechsler Intelligence Scale for Children–Third Edition (r = 0.87).34

Maternal Overweight Status

Mothers self-reported their height and weight when their children were aged 15 years. We computed BMI scores and classified mothers with BMI scores greater than 25 as overweight.

Demographic Variables

Data on sex, ethnicity, and birth date were recorded. Ethnicity—white, black, Hispanic, Asian, or other—was defined by the mother and was originally collected in the SECCYD because ethnicity is associated with use of child care. Because Hispanic was not an exclusive category, we coded Hispanic as its own group, with the other groups not including Hispanic persons (eg, white equals white, not Hispanic) for our analyses. As a proxy for socioeconomic status, we used the income to needs ratio (assessed in terms of income compared with the US Census Bureau–defined poverty line) at 9 years of age, which we log-transformed to normalize the distribution.


We computed summary statistics and examined differences in measures by overweight status at 15 years of age. Self-control, age, log-transformed income to needs ratio, and IQ were treated as continuous variables; overweight status at 10 years of age, sex, ethnicity, pubertal development, and maternal overweight status were treated as categorical variables. To test the statistical significance of differences, we used t tests for continuous variables and χ2 tests for dichotomous variables. For our multivariable analyses, we conducted Poisson regressions with robust standard errors35 using overweight status at 15 years of age as the outcome and self-control, overweight status at 10 years of age, sex, ethnicity, age, pubertal development, log-transformed income to needs ratio, IQ, and maternal overweight status as predictors. Given that our covariates have been shown to be potential confounds in prior research, we simultaneously forced all predictors into the model. We also examined all variables as potential moderators of the effect of self-control on overweight status at 15 years of age in separate models using a Bonferroni correction to adjust for multiple comparisons. Finally, we conducted an analysis with obese status (ie, BMI z score >1.64) as the outcome.

Approximately 3.5% of the data were missing; about half of the missing values were pubertal development at 15 years of age. To avoid biased estimates, we used multiple imputation to handle missing data.36,37 We conducted all analyses in Stata, Version SE 11.0 (StataCorp LP, College Station, Texas), used 2-tailed tests, and set significance at P < .05.


About 77% of participants were white; 12%, black; 6%, Hispanic; 1%, Asian; and 4%, other ethnic backgrounds; 50% were female. The median household income, assessed in terms of income to needs ratio, was 3.4 times the US Census Bureau–defined poverty line. The mean (SD) age of participants in December 2006 was 15.6 (0.2) years.

Table 2 describes the characteristics of participants by overweight status at 15 years of age. Approximately one-third of the sample (n = 262) were overweight at 15 years of age. The average BMI z score in this sample was 0.53 at 10 years of age and 0.57 at 15 years. Compared with their nonoverweight peers, overweight adolescents aged 15 years were about a half standard deviation lower in self-control at 9 years (unstandardized difference, 0.15; pooled SD, 0.29; P < .001). Overweight adolescents were also more likely to be black (17% vs 10%; P < .01), be of another ethnicity (6% vs 3%; P < .05), be male (58% vs 46%; P < .001), have a lower IQ (104 vs 108; P < .001), have an overweight mother (74% vs 47%; P < .001), and be from a lower socioeconomic background (logarithm values of income to needs ratio, 0.87 vs 1.30; P < .001).

Table 2. 
Characteristics of Participants by Overweight Status at 15 Years of Age and Adjusted Relative Risks From Poisson Regression With Robust Standard Errors Predicting Overweight Status at 15 Years of Agea
Characteristics of Participants by Overweight Status at 15 Years of Age and Adjusted Relative Risks From Poisson Regression With Robust Standard Errors Predicting Overweight Status at 15 Years of Agea

Table 2 presents the results of the Poisson regression analysis. Children who were rated as being more self-controlled at 9 years of age were less likely to be overweight at 15 years (relative risk [RR], 0.74; 95% confidence interval [CI], 0.56-0.98), even when controlling for age, sex, ethnicity, pubertal development, IQ, logarithm of income to needs ratio, maternal overweight status, and overweight status at 10 years of age. Children who were rated 1 point higher on a 3-point self-control scale were 26% less likely to be overweight as adolescents. Being female (RR, 0.82; 95% CI, 0.70-0.98), belonging to a lower socioeconomic background (RR, 0.86; 95% CI, 0.78-0.96), having a mother who is overweight (RR, 1.32; 95% CI, 1.07-1.62), and being overweight at 10 years of age (RR, 6.81; 95% CI, 5.11-9.08) were also significant predictors of overweight status at 15 years of age, after adjusting for the other covariates. None of the observed variables moderated the effect of self-control on overweight status at 15 years of age.

The analysis with obese status as the outcome showed an effect of self-control (RR, 0.68; 95% CI, 0.45-1.03) that was similar in magnitude to the model with overweight status as the outcome but was not statistically significant (P = .07), likely owing to the smaller number of obese (n = 132) compared with overweight individuals in the data set.


In a prospective, longitudinal study of 844 participants, we found that children who were rated higher in self-control by their parents and teachers at 9 years of age were less likely to become overweight by 15 years. This relationship was significant even when controlling for a wide range of potential confounders.

Rapid weight gain during the transition to adolescence is prognostic of poor health outcomes in adulthood,14 suggesting the importance of identifying risk/protective factors prior to this stage of development. Extant research on weight gain has pointed to several relevant factors including obesogenic environments (ie, cheap and convenient high-calorie foods offered in large portions),38 low socioeconomic status,8 and ethnicity.7 None of these well-studied risk/protective factors are easily changed. Because excess weight is a behaviorally mediated condition (ie, excess weight is caused by ingesting more calories than are expended), psychological variables that influence lifestyle choices deserve more attention. The purpose of our study was to explore the protective role of self-control during the transition to adolescence, a period during which children are given increasing latitude to decide what to eat. We expected more self-controlled children to make healthier choices than their more impulsive peers. Our findings are consistent with this prediction.

This study has several limitations. First, while our sample was somewhat diverse in terms of ethnicity, sex, and socioeconomic status, it was not nationally representative. Therefore, our findings may not generalize to all segments of the US population. Second, children's knowledge of healthy eating choices was not measured. We would expect such knowledge to moderate the observed relationship between self-control and weight change: self-control likely does not protect children from weight gain if they fail to recognize that some foods are more fattening and less healthy than others. Finally, we cannot rule out the possibility that an unmeasured third-variable confounder associated with self-control at 9 years of age and weight change from 10 to 15 years accounted for the observed findings. To do so would require a randomized controlled trial in which self-control was durably increased in children and subsequent effects on weight assessed. Preschool curricula with demonstrated effects on self-control suggest that such an investigation is now possible.39

The wide availability of fatty, sugary, and salty foods is unprecedented in human history, explaining much of the recent pandemic increase in obesity.40 The impulse to consume these fattening foods to excess has strong evolutionary origins but so too does the capacity to override such impulses.38,40 Indeed, the capacity to regulate impulses to indulge in temptations that feel good momentarily but are detrimental in the long term is a uniquely human competence. Individual differences in self-control, like every other personality trait, are partly genetic in origin.41 Nevertheless, the influence of genes does not preclude the importance of self-control strategies children can be directly taught in the context of parent-child and physician-patient interactions. For instance, children can be encouraged to use their attention strategically, putting temptations literally “out of sight and out of mind.”39,42 Planning in advance what to do when temptation strikes has also been shown to be an effective and teachable self-regulation strategy. Finally, children and their parents can be taught to precommit to healthy choices (eg, not keeping junk food in the house or not bringing extra money to school to purchase treats). As Kessler concludes in the End of Overeating, fattening temptations in the modern world abound but “the power to resist ultimately rests with us.”38

Correspondence: Eli Tsukayama, MA, Department of Psychology, University of Pennsylvania, 3701 Market St, Ste 219, Philadelphia, PA 19104 (elit@psych.upenn.edu).

Accepted for Publication: December 14, 2009.

Author Contributions: Mr Tsukayama had full access to all of the data in this study and takes full responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Tsukayama and Duckworth. Acquisition of data: Tsukayama and Duckworth. Analysis and interpretation of data: Tsukayama, Toomey, Faith, and Duckworth. Drafting of the manuscript: Tsukayama, Faith, and Duckworth. Critical revision of the manuscript for important intellectual content: Tsukayama, Toomey, and Duckworth. Statistical analysis: Tsukayama, Faith, and Duckworth. Obtained funding: Duckworth. Administrative, technical, and material support: Tsukayama and Toomey. Study supervision: Tsukayama and Duckworth.

Financial Disclosure: None reported.

Funding/Support: Dr Faith has received grants from the National Institutes of Health to study interventions for early childhood obesity.

Barker  DJPOsmond  CForsen  TJKajantie  EEriksson  JG Trajectories of growth among children who have coronary events as adults. N Engl J Med 2005;353 (17) 1802- 1809PubMedArticle
Baker  JLOlsen  LWSorensen  TIA Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med 2007;357 (23) 2329- 2337PubMedArticle
Kindblom  JMLorentzon  MHellqvist  A  et al.  BMI changes during childhood and adolescence as predictors of amount of adult subcutaneous and visceral adipose tissue in men. Diabetes 2009;58 (4) 867- 874PubMedArticle
Bhargava  SKSachdev  HSFall  CHD  et al.  Relation of serial changes in childhood body-mass index to impaired glucose tolerance in young adulthood. N Engl J Med 2004;350 (9) 865- 875PubMedArticle
Dietz  WH Critical periods in childhood for the development of obesity. Am J Clin Nutr 1994;59 (5) 955- 959PubMed
Dietz  WH Overweight in childhood and adolescence. N Engl J Med 2004;350 (9) 855- 857PubMedArticle
Freedman  DSKhan  LKSerdula  MKDietz  WHSrinivasan  SRBerenson  GS Racial differences in the tracking of childhood BMI to adulthood. Obes Res 2005;13 (5) 928- 935PubMedArticle
Hardy  RWadsworth  MKuh  D The influence of childhood weight and socioeconomic status on change in adult body mass index in a British national birth cohort. Int J Obes 2000;24 (6) 725- 734Article
Bini  VCeli  FBerioli  MG  et al.  Body mass index in children and adolescents according to age and pubertal stage. Eur J Clin Nutr 2000;54 (3) 214- 218PubMedArticle
Eisenberg  NSpinrad  TLFabes  RA  et al.  The relations of effortful control and impulsivity to children's resiliency and adjustment. Child Dev 2004;75 (1) 25- 46PubMedArticle
Kochanska  GMurray  KTHarlan  ET Effortful control in early childhood: continuity and change, antecedents, and implications for social development. Dev Psychol 2000;36 (2) 220- 232PubMedArticle
Duckworth  ALSeligman  MEP Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychol Sci 2005;16 (12) 939- 944PubMedArticle
White  JLMoffitt  TECaspi  ABartusch  DJNeedles  DJStouthamer-Loeber  M Measuring impulsivity and examining its relationship to delinquency. J Abnorm Psychol 1994;103 (2) 192- 205PubMedArticle
Friedman  HSTucker  JSTomlinson-Keasey  CSchwartz  JEWingard  DLCriqui  MH Does childhood personality predict longevity? J Pers Soc Psychol 1993;65 (1) 176- 185PubMedArticle
Friedman  HSTucker  JSSchwartz  JE  et al.  Childhood conscientiousness and longevity: health behaviors and cause of death. J Pers Soc Psychol 1995;68 (4) 696- 703PubMedArticle
Shiner  RLMasten  ASRoberts  JM Childhood personality foreshadows adult personality and life outcomes two decades later. J Pers 2003;71 (6) 1145- 1170PubMedArticle
Kern  MLFriedman  HMartin  LReynolds  CLuong  G Conscientiousness, career success, and longevity: a lifespan analysis. Ann Behav Med 2009;37 (2) 154- 163PubMedArticle
Francis  LASusman  EJ Self-regulation and rapid weight gain in children from age 3 to 12 years. Arch Pediatr Adolesc Med 2009;163 (4) 297- 302PubMedArticle
Seeyave  DMColeman  SAppugliese  D  et al.  Ability to delay gratification at age 4 years and risk of overweight at age 11 years. Arch Pediatr Adolesc Med 2009;163 (4) 303- 308PubMedArticle
Dornbusch  SMCarlsmith  JMBushwall  SJ  et al.  Single parents, extended households, and the control of adolescents. Child Dev 1985;56 (2) 326- 341PubMedArticle
Steinberg  LSilverberg  SB The vicissitudes of autonomy in early adolescence. Child Dev 1986;57 (4) 841- 851PubMedArticle
Johnson  SLBirch  LL Parents' and children's adiposity and eating style. Pediatrics 1994;94 (5) 653- 661PubMed
Birch  LLFisher  JO Development of eating behaviors among children and adolescents. Pediatrics 1998;101 (3 pt 2) 539- 549PubMed
Anderson  GHSaravis  SSchacher  RZlotkin  SLeiter  LA Aspartame: effect on lunch-time food intake, appetite and hedonic response in children. Appetite 1989;13 (2) 93- 103PubMedArticle
Johnson  SLTaylor-Holloway  LA Non-Hispanic white and Hispanic elementary school children's self-regulation of energy intake. Am J Clin Nutr 2006;83 (6) 1276- 1282PubMed
Chandola  TDeary  IJBlane  DBatty  GD Childhood IQ in relation to obesity and weight gain in adult life: the National Child Development (1958) Study [published online ahead of print March 7, 2006]. Int J Obes 2006;30 (9) 1422- 1432Article
Laitinen  JPower  CJarvelin  MR Family social class, maternal body mass index, childhood body mass index, and age at menarche as predictors of adult obesity. Am J Clin Nutr 2001;74 (3) 287- 294PubMed
Gresham  FMElliot  SN Social Skills Rating Scale Manual.  Circle Pines, MN American Guidance Service1990;
Eid  MedDiener  Eed Handbook of Multimethod Measurement in Psychology.  Washington, DC American Psychological Association2006;
Tangney  JPBaumeister  RFBoone  AL High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. J Pers 2004;72 (2) 271- 324PubMedArticle
Eysenck  SBEasting  GPearson  PR Age norms for impulsiveness, venturesomeness and empathy in children. Pers Individ Dif 1984;5315- 321Article
Nunnally  JC Psychometric Theory. 2nd ed. New York, NY McGraw-Hill1978;
Kuczmarski  RJOgden  CLGuo  SS  et al.  2000 CDC Growth Charts for the United States: Methods and Development.  Washington, DC Government Printing Office2002;
Wechsler  D Wechsler Abbreviated Scale of Intelligence.  San Antonio, TX The Psychological Corporation1999;
Cummings  P The relative merits of risk ratios and odds ratios. Arch Pediatr Adolesc Med 2009;163 (5) 438- 445PubMedArticle
Allison  PD Missing Data.  Thousand Oaks, CA Sage2002;
Royston  P Multiple imputation of missing values: update of ice. The Stata Journal 2005;5 (4) 527- 536
Kessler  DA The End of Overeating: Controlling the Insatiable American Appetite.  New York, NY Rodale Inc2009;
Diamond  ABarnett  SThomas  JMunro  S Preschool program improves cognitive control. Science 2007;318 (5855) 1387- 1388PubMedArticle
Rachlin  H The Science of Self-control.  Cambridge, MA Harvard University Press2000;
Tellegen  ALykken  DTBouchard  TJ  JrWilcox  KJSegal  NLRich  S Personality similarity in twins reared apart and together. J Pers Soc Psychol 1988;54 (6) 1031- 1039PubMedArticle
Bandura  AMischel  W Modifications of self-imposed delay of reward through exposure to live and symbolic models. J Pers Soc Psychol 1965;2 (5) 698- 705PubMedArticle