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ORIGINAL ARTICLES |
Center for Research into Psychological Development, Department of Psychology, University of Southampton, United Kingdom, on behalf of the ETAC Study Group.
Address for correspondence and reprint requests to Professor Jim Stevenson, Center for Research into Psychological Development, Department of Psychology, University of Southampton, Highfield, Southampton SO17 1 BJ, UK. E-mail: jsteven{at}soton.ac.uk
| ABSTRACT |
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MATERIALS AND METHODS: Data on the validated, standardized Behavior Screening Questionnaire were obtained prospectively from 35 to 53 months for 150 atopic children who had asthma by age 53 months and for 115 who did not.
RESULTS: At each age, the children who had asthma by 53 months had more behavior problems. There was no evidence that the subsequent behavior of those children who had asthma became more problematic. However, for those children without asthma by 35 months, an elevated behavior problem score at that age was related to the subsequent onset of asthma by age 53 months. The behavior problem score added significantly to the prediction of asthma onset (OR adjusted: 1.15; 95% CI: 1.021.29) when known risk factors of asthma and IgE levels for grass pollen and house dust mite at age 17 months were taken into account.
CONCLUSIONS: Behavior problems may precede asthma onset in young atopic children. In this age group, behavior problems are not secondary psychological reactions to asthma onset. They may act as a marker for stress in the childs life. The presence of behavior problems should alert clinicians that the child may be at increased risk for transition from atopic dermatitis to asthma.
Key Words: atopic dermatitis, asthma, child behavior, cetirizine.
Abbreviations: ETAC = Early Treatment of the Atopic Child study;; BSQ = Behavior Screening Questionnaire;; HDM = house dust mite;; GP = grass pollen;; ITT = intention to treat.
| INTRODUCTION |
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The present study is concerned with psychological aspects of initial asthma onset in children at risk because of atopic dermatitis and having a family history of atopy. Because the study is longitudinal, the impact of asthma onset on behavior can be determined. It is postulated that elevated levels of behavior problems predict initial asthma onset and that this accounts for the well-documented association between asthma and behavior problems. The latter is shown by the behavioral adjustment difficulties scores for children with asthma being elevated by 0.57 SD in a systematic meta-analysis of 28 samples (5). There have been no studies that have directly addressed the issue of the role of behavior problem in transition to asthma using a prospective study of children with atopic dermatitis. This article aims to establish in a longitudinal study whether those children with atopic dermatitis in whom asthma develops show higher levels of behavior problems before asthma onset than those children with atopic dermatitis without asthma.
| MATERIALS AND METHODS |
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Cetirizine 0.25 mg/kg body weight or placebo was administered orally twice daily, once in the morning and once in the evening. At each clinic visit the appropriate dosage according to the childs weight was evaluated by the investigator. Accuracy of dosing was ensured by the use of a table of correspondence between body weight, dose, and number of drops per intake and by weighing the remaining study samples at the end of the treatment period. It has been shown that the prolonged use of cetirizine did not adversely affect the childrens behavior (8). Indeed, there were no significant differences between the placebo and cetirizine groups in their behavior scores. For the purposes of the present article, these two groups have been analyzed together, and treatment (placebo vs. cetirizine) has been used as a factor in the analyses to check that there were no interactions between treatment and other factors.
Measures
The childrens behavior was assessed using the Behavior Screening Questionnaire (BSQ) (9). The BSQ is a semi-structured screening interview that provides a series of validated questions addressed to the parents concerning the childs health, behavior, and development in the past 4 weeks. The BSQ deals with the following 12 aspects of behavior: eating, soiling, sleeping, activity, concentration problems, relationships, dependency, management problems, tantrums, moods, worries, and fears. The interviews were performed at the time of visits to the clinic by medical staff specifically trained in the use of this measure.
For each aspect of behavior, standardized questions are asked that prompt the parents into providing detailed accounts of the frequency, intensity, and duration of behavior. On the basis of these accounts, a rating was made of the severity with which the behavior was affected using a prespecified set of categories. In twelve areas of behavior, a 0-1-2-scoring system was used in which 0 indicated the absence of problems in that area, 1 indicated the behavior is present for a mild degree, and 2 indicated that a behavior problem is definitely present. These items were aggregated to give a total BSQ score with a possible range from 0 to 24 (for details of the scoring see (10)). The BSQ can be analyzed either in terms of a mean total BSQ score or by determining the number of individuals that exceed a cutting point of 10 or more, which has been shown to identify a group of 3-year-old children at risk for long-term behavioral difficulties (11).
Timing of Assessment
On entry to the ETAC protocol, the children had a mean age of 17 months. They were seen over a period of 18 months during which they took the study treatment, either cetirizine or placebo (visits 18), and then for three subsequent visits after the study medication had been stopped (visits 911, 24 to 36 months after inclusion). The BSQ was obtained after 15 and 18 months (visits 7 and 8) of the treatment period and during the posttreatment follow-up period 6, 12, and 18 months after discontinuation of the treatment (visits 911). The number of children providing data on the BSQ at visit 7 was reduced as a consequence of a delay initiating BSQ measures in some centers. Accordingly, results will be presented for visits 8 through 11 when the children were, on average, 35, 41, 47, and 53 months of age, respectively.
Asthma Status
The childrens asthma status was assessed on average at 35, 41, and 53 months of age. A child was designated as having asthma if there had been three episodes of nocturnal cough with sleep disturbance lasting for at least 3 nights in succession and/or wheezing, separated by at least 7 days, in a clinical setting in which asthma was likely and conditions other than allergy had been excluded. Even in the absence of the family history it is standard clinical practice to use such criteria to justify commencing asthma therapy (12). The childs sensitization to allergens were measured at entry to the study for serum total and specific (grass pollen, cows milk, egg, house dust mites, and cat dander) IgE antibody levels using the Pharmacia CAP system (Pharmacia & Upjohn, Uppsala, Sweden). These analyses were conducted by a central laboratory (Institut Pasteur-Bio Contract Research, Lille, France) according to manufacturers instructions and routine clinical laboratory procedures. Previous analysis had shown raised IgE to house dust mite (HDM) and/or to grass pollen (GP) to be significantly related to subsequent asthma onset (6). In the present analysis these two risk factors were treated as binary values (IgE HDM or IgE GP
0.35 kUA/L or neither). The initial severity of atopic dermatitis was measured at entry to the study when the children were, on average, 17 months using the SCORAD measure (13).
Statistical Methods
All the data were analyzed using the SAS 6.12 version. The population used in the analysis consisted of all children included in the ITT population (ie, all randomized subjects who received at least one dose of study treatment and for whom follow-up information was available) and for whom data on the BSQ were available.
By 53 months, there were 150 children who had asthma and 115 children who had not and for who in both groups there were BSQ data at all four ages. With two samples of that size, there was 80% power to detect an effect size of 0.35 (the difference in means divided by the pooled SD) with two-tailed alpha of 0.05 (14). This effect size (0.35) would be equivalent to a difference in means on the BSQ of 1.05. This difference is smaller than that which would be considered as clinically significant (14) and the power of the study was therefore adequate.
The total BSQ scores were first analyzed using a repeated measures analysis of variance at ages 35, 41, 47, and 53 months (age). The aim of this analysis was to investigate the effect of age on behavior and whether this age effect was different for children with asthma or those without. The impact of asthma status on behavior at different time-points was determined using multiple regression. The BSQ score at 41 months was predicted by BSQ at 35 months at the first step. Asthma status at 35 months was then added at the second step as a predictor. A comparison between the two models at steps 1 and 2 was performed using the F-test to assess whether asthma status added significantly to the prediction of behavior change between 35 and 41 months. A similar analysis was repeated for change in behavior between 41 and 47 months and between 41 and 53 months. Finally, the possible role of behavior in predicting asthma onset was examined in the subset of children with no asthma at 35 months. A logistic regression was conducted with asthma status at 53 months as the dependent variable and behavior at 35 months as predictor. In addition other known risk factors (IgE levels for house dust mite and grass pollen on entry to the study at age 17 months) were included in the model as predictors of asthma onset. All statistical tests were carried out two-tailed at the 5% significance level.
As patients were allocated in two treatment groups (placebo/cetirizine), all models included treatment effect. In addition, the interaction between treatment and explanatory variables was investigated to ensure the consistency of the overall effect of these explanatory variables between the two treatment groups.
| RESULTS |
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In all subsequent analyses the main effects of treatment and interactions with treatment were examined and none was found to be significant. These will not be reported further.
Behavior Change Consequent to Asthma Onset
A series of multiple regression analyses were used to test whether the presence of asthma adversely affected subsequent behavior. Asthma status at 35 months (T1) was used to predict behavior at 41 months (T2) simultaneously with behavior at 35 months and treatment. This was repeated for 41, 47, 41, 53 months as T1 and T2, respectively. The results are summarized in Table 1. For every pair of ages the only significant predictor of the BSQ score at time 2 was the BSQ score at time 1. This autoregressive pattern would be expected given the continuity on behavior problems over a 6-month period at this age. However, there was no statistical evidence for a significant impact of treatment or asthma status on change in behavior between time 1 and time 2 for any pair of ages.
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2 = 5.52, df = 1, p< 0.02).
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| DISCUSSION |
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There are number of reasons why behavior might be related to later asthma onset. There is a set of explanations whereby it may act as a marker for other causally important risk factors, ie, by itself behavior does not play a causal role. First the association only reflects the impact of initial severity of atopic dermatitis on behavior. Those children in whom asthma develops show elevated behavior problem scores because their more severe atopic dermatitis creates more discomfort and upset. The findings did not support this explanation since atopic dermatitis severity as assessed by the SCORAD measure was not significantly correlated with behavior score.
Second, elevated behavior scores might be an indicator of chronic or acute stresses in the childs life (16). More generally, elevated behavior scores could be a product of social disadvantage. However the association between asthma and poverty seems to be specific to the USA (17) and in Europe, where the ETAC was conducted, asthma is associated with affluence (18). It is therefore unlikely that the results presented here are caused by a common association between asthma, behavior, and disadvantage.
Third, the association between atopy and behavior arises through shared genetic influences (19,20). Behavior could then be a marker of pathophysiological processes arising from this genetic basis that have yet to manifest as clinical diagnosis of asthma. This possibility would be consistent with the suggestion that asthma develops slowly in the airways before the first signs of the disease are apparent (21). Increases in behavior problems may then be an indicator that child is experiencing symptoms that are yet to be apparent to the parent or physician.
These are noncausal mechanisms linking behavior and asthma onset. It is also possible that behavior is causally related to asthma onset via an indirect or a direct route. Children with behavior problems provoke greater levels of criticism by their parents (11), which in turn can act as a stress experience increasing the risk of asthma onset (22). The emotional dysregulation accompanying behavioral difficulties may act to enhance asthma risk (23) mediated via the impact of stress on the immune system (24) and to which children with atopic dermatitis may be particularly susceptible (25).
Preventive intervention for asthma onset that attempts to reduce behavior problems will only be effective if behavior problems are either indirectly or directly causally related. If they simply act as a marker for stress or pathophysiological processes, then intervention will only be effective if directed at these factors themselves. However, even if they are not causally implicated, behavior problems may be a valuable indicator for the clinician of the risk of asthma onset in children with atopic dermatitis.
ETAC STUDY GROUP
Scientific Advisory Board:
J.O. Warner (Southampton, GB), L. Businco (Roma, I) 61, G. Casimir (Bruxelles, B), T.L. Diepgen (Heidelberg, D), M. Kjellman (Linköping, S), K. Knol (Groningen, NL), J.L. Menardo (Montpellier, F), C. Naspitz (Sao Paulo, Brasil), F.E.R. Simons (Winnipeg, Canada), U. Wahn (Berlin, D).
Investigators and Co-Investigators:
M. Albertini, T. Bourrier (Nice, F), C.P. Bauer, R. Franz (München, D), G. Bellon, M. Prudon (Lyon, F), E. Bodart (Yvoir, B), A. Boner, P. Fortunati (Verona, I), J. Botey, A.M. Marin (Barcelona, SP), G. Cavagni, M. Gardenghi (Brescia, I), R. Clifford, H. Griffith, G. Tutt (Dorchester, GB), J.P. Darras (Béziers, F), F.M. de Benedictis, P. Pazzelli (Perugia, I), L.E. De Raeve, A. Kempinaire, B Deruyter (Brussels, B), G. Dutau, F. Rancé, M. Dufourg (Toulouse, F), I. Eichler, R. Rath (Wien, A), J.L. Fauquert, A. Piollet, A. Labbé, D. Masclaux (Clermont-Ferrand, F), A. Fiocchi, M. Travaini (Milano, I), R. Fölster-Holst, I. Lange (Kiel, D), K.D. Foote, R. Cottam, P. Gandy (Winchester, GB), R.W. Griffioen, J.H. Sillevis Smitt, J.C. Van Nierop, M. de Langue, J. Aalbers (Amsterdam, NL), A. Grimfeld, F. Sahraoui, F. Lefèvre (Paris, F), M.H. Guillet, G. Guillet (Brest, F),D. Gustafsson, L. Ekholm (Örebro, S), D. Hamel-Teillac, Y. de Prost (Paris, F), I. Huttegger (Salzburg, A), M.T. Laso-Borrego, A. Mesa-Palomino (Madrid, SP), J. Leclercq-Foucart, V. Heinrich (Liège, B), R. Lever, G. Ward (Glasgow, GB), W. Lipschutz (Antwerpen, B), G. Lorette (Tours, F), C. Marguet (Rouen, F), M. Masi, F. Specchia (Bologna, I), P. Meglio, P. Lucenti, M.T. Moretti (Roma, I), C. Möller, G. Forsberg (Umeå, S), F. Muñoz-Lopez, M.T. Giner-Muñoz (Barcelona, SP), A.P. Oranje, A. Wolkerstorfer, H.J. Neijens (Rotterdam, NL), A.M. Oudesluys-Murphy, RN Sukhai (Rotterdam, NL), K.P. Paul, R. Nickel (Berlin, D), M. Petrus, M. Rhabbour, A. Trapes (Tarbes, F), I. Pollock, M. Baird-Snell (Enfield, GB), A. Prehn, R. Seger (Zürich, CH), S. Ridout, S. Matthews, F.C. Kennedy, D. Pearson (Newport, GB), J. Ring, D. Abeck, D. Vieluf (München, D), J. Robert, E. Maumet-Verrot (Lyon, F), U. Schauer, S. Köhler (Bochum, D), R. Seligmann, C. de Beaufort (Luxembourg, L), V. Spièak (Praha, CZ), J.F. Stalder, F. Phéline, M.F. Baudrand (Nantes, F), J. Stevenson (Southampton), I.L. Strannegård, M. Borres (Göteborg, S), A. Taïeb, C. Labrèze, D. Chevalier (Bordeaux, F), J.P. Van Biervliet (Brugge, B), J.K. Van der Woude (Enschede, NL), V. Vanderheyden (Leuven, B), G. Von Pilgrim (Mainz, D), S. Wille, A. Warner (Helsingborg, S), E. Young (Amersham, GB), and the UCB ETAC Team.
| ACKNOWLEDGMENTS |
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I am very grateful to Catherine Fortpied of UCB Pharma for her expert assistance with data analysis. This analysis was only possible because of efforts of the investigators on the ETAC study. I thank them and the ETAC Study Board for providing access to the data set and for comments on an earlier draft of the article.
Received for publication October 3, 2002.
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