

* Division of Behavioral and Developmental Pediatrics, Department of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
Boston University School of Public Health, Boston, Massachusetts
| ABSTRACT |
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Methods. 1998 National Longitudinal Survey of Youth interview data for 8- to 11-year-old children and their mothers were analyzed. A Behavior Problems Index score >90th percentile was considered clinically meaningful. Child overweight was defined as a body mass index (BMI)
95th percentile for age and sex. Multiple logistic regression was used to control for potential confounders (selected a priori): childs sex, race, use of behavior-modifying medication, history of academic retention, and hours of television per day; maternal obesity, smoking status, marital status, education, and depressive symptoms; family poverty status; and Home Observation for Measurement of the Environment-Short Form (HOME-SF) cognitive stimulation score. In an attempt to elucidate temporal sequence, a second analysis was conducted with a subsample of normal-weight children who became overweight between 1996 and 1998 while controlling for BMI z score in 1996.
Results. The sample included 755 mother-child pairs. Of the potential confounding variables, race, maternal obesity, academic grade retention, maternal education, poverty status, and HOME-SF cognitive stimulation score acted as joint confounders, altering the relationship between behavior problems and overweight in the multiple logistic regression model. With these covariates in the final model, behavior problems were independently associated with concurrent child overweight (adjusted odds ratio: 2.95; 95% confidence interval: 1.346.49). The relationship was strengthened in the subsample of previously normal-weight children, with race, maternal obesity, HOME-SF cognitive stimulation score, and 1996 BMI z score acting as confounders (adjusted odds ratio: 5.23; 95% confidence interval: 1.3719.9).
Conclusions. Clinically meaningful behavior problems in 8- to 11-year-old children were independently associated with an increased risk of concurrent overweight and becoming overweight in previously normal-weight children.
Key Words: obesity overweight child behavior child behavior disorders National Longitudinal Survey of Youth
Abbreviations: BMI, body mass index NLSY, National Longitudinal Survey of Youth HOME-SF, Home Observation for Measurement of the Environment-Short Form BPI, Behavior Problems Index OR, odds ratio CI, confidence interval
Childhood overweight is a growing public health problem. More than 20% of children between the ages of 6 and 11 years are overweight,1 and the severity of overweight has increased in the past 10 years.2 Well-described risk factors for childhood overweight include race,2 elevated maternal body mass index (BMI),3,4 and amount of television viewing.5 The literature diverges on whether low socioeconomic status is a risk factor.4,6,7
Several risk factors for childhood overweight, including television viewing8 and low socioeconomic status,912 are also associated with increased rates of behavior problems. However, the relationship of behavior problems and childhood overweight has not been explored thoroughly. Previous studies have shown an association between behavior problems and childhood overweight.1320 Interpretation of these data has been limited, however, by methodologic constraints, including small and homogeneous samples, limited use of standardized behavior rating scales, and bias as a result of samples being drawn only from weight-loss clinics. Individuals who attend weight-loss clinics have higher rates of psychological problems than overweight individuals who do not attend such a clinic.21,22 Furthermore, the previous studies have focused on statistical differences in behavior rating scales, as opposed to clinically meaningful behavioral differences. No study has controlled adequately for potentially confounding variables such as television viewing, socioeconomic status, or quality of the home environment. Finally, recent data are lacking; the most pertinent studies were conducted at least 10 years ago.1316
To address issues raised by previous research, the current analysis investigates the relationship between clinically meaningful behavior problems in 8- to 11-year-old children and childhood overweight in a nationally representative, nonreferred population. In addition, in an attempt to explore the temporal sequence of this association, we conducted a second analysis investigating the relationship between clinically meaningful behavior problems in normal-weight children and becoming overweight 2 years later.
| METHODS |
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Demographic data consisted of childs sex, race, mothers marital status, mothers education, and family poverty status (Table 1). Additional characteristics that may modify an association between behavior problems and overweight were identified from the literature and included as potential covariates (Table 1). These were mothers obesity, mothers depressive symptoms, Home Observation for Measurement of the Environment-Short Form (HOME-SF) cognitive stimulation score, mothers smoking status, use of behavior-modifying medication, hours of television per day, and history of academic grade retention.
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95th percentile for age and sex based on the newest norms from the National Center for Health Statistics.25
Behavior Problems
Mothers answered questions regarding their childs behaviors in the previous 3 months using the Behavior Problems Index (BPI). The BPI was created by Zill and Peterson26 to measure the frequency, range, and type of childhood behavior problems for children ages 4 years and older. Many items were derived from the Achenbach Child Behavior Checklist.27 Mothers could answer "often," "sometimes true," or "not true" to each item. Responses were dichotomized into "often or sometimes true" or "not true" by the NLSY. These dichotomized scores are the basis for the age- and sex-based normed total standard scores provided by the NLSY. Externalizing and internalizing standard scores were created by the NLSY on the basis of the trichotomous "often," "sometimes true," or "not true" rating. Norms for externalizing and internalizing standard scores are age based but not sex based. Some questions in the BPI contribute to both the internalizing subscore and the externalizing subscore. The BPI is also divided into 6 subscales: antisocial, anxious/depressed, dependent, headstrong, hyperactive, and peer conflicts/withdrawn. The specific questions included in the BPI are provided in Table 2. Higher scores represent more behavior problems. The overall completion rate of the BPI was approximately 93%, with Hispanic children having slightly lower levels of completion.24 We categorized total BPI standard scores as clinically meaningful when they were >90th percentile for the entire cohort of 8- to 11-year-old children in the NLSY in 1996 and in 1998. We selected this cutoff on the basis of previous data indicating that BPI scores at this level are associated with higher rates of referrals for mental health services.9 The >90th percentile cutoff was also used to categorize internalizing and externalizing standard scores as clinically meaningful.
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We performed multiple logistic regression accounting for clustering with childrens overweight status as the dependent variable. We computed both unadjusted and adjusted odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) from the logistic regression models. All P values presented are 2-tailed. An
level of 0.05 was used to determine statistical significance. The covariates described in Table 1 were included in a model. Each of these candidate covariates was tested in a model with behavior problems and overweight by excluding them one by one while keeping all others in the model. Covariates that altered the relationship of clinically meaningful behavior problems to child overweight in these models by >10% were retained in the final model.29 To determine whether internalizing or externalizing behaviors were specifically accounting for the relationship of behavior problems to childhood overweight, internalizing and externalizing BPI scores >90th percentile were each tested individually in the model. In an attempt to elucidate temporal sequence, the analysis was repeated using a subsample of children who were not overweight in 1996, using 1996 BPI scores, 1996 BMI z scores, and 1998 data for the remaining covariates.
To account for missing data, we created a model to determine whether selection bias altered the relationship between significant behavior problems and being overweight. We examined the influence of potential selection bias by adding a propensity score to model the probability of inclusion in the sample with complete data.30 Our estimation of the association between behavior problems and child overweight was not altered by the inclusion of this variable.
| RESULTS |
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Unlike previous research with the NLSY,4,31 there was no independent relationship between the number of hours of television watched per day or cognitive stimulation in the home environment and childhood overweight. To determine whether the absence of a relationship was attributable to controlling for behavior problems, we removed the clinically meaningful behavior problems variable from the model adjusted for all covariates that is listed in Table 5. There was no significant change in the relationship of either number of hours of television per day (OR: 1.00; 95% CI: 0.931.07) or low cognitive stimulation in the home environment (OR: 1.13; 95% CI: 0.284.60) with childhood overweight.
Behavior Problems in Normal-Weight Children and Future Overweight
Of the 755 children in the 1998 sample, 746 were interviewed in 1996 and 700 had height and weight data. Of these 700 children, 90% were not overweight in 1996, resulting in a final sample size of 629. Six percent of the 629 children who were not overweight in 1996 became overweight by 1998. This subsample of 629 children was similar to the original sample: 9% had clinically meaningful behavior problems, 7% of the mothers were obese, 10% of the families were living in poverty, 4% of the children were taking medication to modify behavior, and 9% had repeated a grade (additional data available on request).
When this subsample was entered into the model, a relationship of significant behavior problems in normal-weight children in 1996 to becoming overweight 2 years later was present in the unadjusted analysis (OR: 2.87; 95% CI: 1.067.80). We again entered the same candidate covariates (1998 data) and the BMI z score from 1996 into the model one by one and retained those that altered the relationship between behavior problems and future overweight by >10%. The only covariates that altered the relationship in this manner were race, maternal obesity, HOME-SF cognitive stimulation score, and BMI z score in 1996. After adjustment for these covariates, clinically significant behavior problems in normal-weight children in 1996 were independently associated with becoming overweight 2 years later (adjusted OR: 5.23; 95% CI: 1.3719.93; Table 7).
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| CONCLUSIONS |
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To our knowledge, our study is the first to investigate systematically the relationship of a clinically meaningful level of behavior problems and childhood overweight in a nationally representative sample while analytically controlling for a large number of potentially confounding factors. Three previous studies demonstrated marginally increased scores on the Child Behavior Checklist in overweight children in non-clinic-referred populations.15,18,19 The number of overweight children in these studies, however, varied from 25 to 30, and the samples were overwhelmingly minority (83%100%) and of low socioeconomic status. The only study that used a large sample that we are aware of demonstrated an increased teacher report of "behavioral problems" in association with an increased rate of weight gain in 5399 Swedish schoolchildren in the 1970s.14 Demographic characteristics of this sample were neither described nor controlled for in the analysis.
Maternal obesity and race have strong independent associations with child overweight, both in our analyses and in others.3,4,7 Controlling for these factors did not explain or diminish the independent relationship between behavior problems and overweight. We hypothesized that poverty would be a significant confounding factor, given the relationship of socioeconomic status to behavior problems.9 Although poverty did conjointly modify the relationship between behavior problems and overweight in combination with race, maternal obesity, maternal education, academic grade retention, and HOME-SF cognitive stimulation score, the effect was relatively small. Unlike previous work with the NLSY data set,31 the amount of television viewing did not independently predict child overweight in our analysis or act as a confounder. Controlling for behavior problems also did not explain the absence of an association. This may reflect that the children in our sample are slightly younger than those in the previous study, and the association between television viewing and overweight is less clear in younger children.5,32 The discrepancy may also reflect different definitions of outcome. We used the definition for "overweight" (BMI
95th percentile) compared with the previous study, which used the less stringent definition of "at risk for overweight" (BMI
85th percentile).
We also did not replicate the findings of a previous study demonstrating that low cognitive stimulation in the home is independently associated with childhood overweight,4 and this was also not explained by controlling for behavior problems. The absence of an independent association may be because the previous study included children initially ages birth to 8 years and evaluated the cumulative incidence of overweight 6 years later. The age range in our study was older, and the follow-up was not as long. Low cognitive stimulation in the home did, however, act as a joint confounder in our analysis, slightly diminishing the relationship between behavior problems and overweight. This observation supports the previous data indicating a significant role of the home environment in mediating the childs weight status and speaks to the complexity of the association. The differences in findings in both the case of television viewing and cognitive stimulation in the home may also reflect different confounders controlled for in each analysis.
Although a relationship between a BPI score >90th percentile and overweight was present, when we attempted to disaggregate internalizing and externalizing behavior problems, neither was related to overweight. These results suggest that of the children with clinically significant behavior problems, there was not a large proportion with either an internalizing standard score >90th percentile or a large proportion with an externalizing score >90th percentile. Rather, it seems that the majority of children with BPI scores >90th percentile had subthreshold internalizing and externalizing BPI scores. This is consistent with our clinical experience and with the data presented in Table 4. The overweight children had slightly higher scores on all subscales; there were not particular subscales that seemed to be accounting for the relationship.
The results of our analysis of the temporal relationship between child behavior problems and overweight suggest that behavior problems may precede the onset of overweight at least in some children. Controlling for the childs previous weight status only strengthened the association between behavior problems and subsequent overweight, which supports our underlying hypothesis. Given that it seems that behavior problems sometimes precede becoming overweight, the higher prevalence of behavior problems in overweight children may not then simply be a response to stigmatization.
Previous research has demonstrated a relationship between childhood depression and adult overweight33 in addition to a relationship between adolescent depression and an increased risk of overweight 1 year later.34 Although the BPI cannot make mental health diagnoses, behavior problems are sometimes indicative of underlying mental health diagnoses.9 A significant change in weight is a diagnostic criterion for depression,35 and food binging behavior has been reported as comorbid with psychiatric diagnoses in adults.3640 Thus, just as a mental health diagnosis in childhood may be a risk factor for adult obesity, extreme behavior problems in childhood may be a more proximal indicator of overweight risk in childhood.
There are potential limitations to the study reflecting residual confounding and study design. Our measure of maternal mental health was available only in 1992. There are no data, to our knowledge, regarding the stability of maternal depressive symptoms over a period of 6 years. It is possible that a more proximal measure of maternal depressive symptoms would have slightly altered our results. We also were unable to control for paternal obesity, which is a risk factor for child overweight of similar magnitude to the risk of maternal obesity.3 There may also be other confounding variables for which we were unable to control. Finally, our sample size of overweight children was limited. Unlike other studies with limited sample size, however, our sample was nationally representative.
Implication
These data strongly suggest a significant relationship of behavior problems to childhood overweight. On the basis of our second analysis, it seems that children with behavior problems may be at increased risk of becoming overweight, suggesting that the clinical evaluation of children with significant behavioral problems should include an assessment of overweight risk based on physical activity and nutrition. It should be emphasized that most overweight children in our study did not have behavior problems. However, a better understanding of a childs behavioral profile may be helpful in addressing the motivational issues that pediatricians perceive to be a major barrier to treatment41 of childhood overweight. Additional research is needed to understand how a childs behavioral profile may be associated with physical activity and eating patterns leading to overweight.
| ACKNOWLEDGMENTS |
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We thank Howard Bauchner, MD, for thoughtful review of the manuscript.
| FOOTNOTES |
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Reprint requests to (J.C.L.) Center for Human Growth and Development, 300 Ingalls Bldg, 10th Floor, Ann Arbor, MI 48109-0406. E-mail: jlumeng{at}umich.edu
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