Relationship Between Disease and Psychological Adaptation in Children in the Childhood Asthma Management Program and Their Families | Allergy and Clinical Immunology | JAMA Pediatrics | JAMA Network
[Skip to Navigation]
July 2000

Relationship Between Disease and Psychological Adaptation in Children in the Childhood Asthma Management Program and Their Families

Author Affiliations

From the National Jewish Medical and Research Center, Denver, Colo (Drs Bender and Iklé); University of New Mexico Medical School, Albuquerque (Dr Annett); ABCD, Inc, Seattle, Wash (Dr DuHamel); Johns Hopkins School of Medicine, Baltimore, Md (Dr Rand); and Washington University School of Medicine, St Louis, Mo (Dr Strunk).

Arch Pediatr Adolesc Med. 2000;154(7):706-713. doi:10.1001/archpedi.154.7.706

Objective  To test the hypotheses that the burden of childhood asthma compromises psychological adaptation and that the degree of compromise increases with disease severity.

Design  The Childhood Asthma Management Program (CAMP) is a multicenter randomized clinical trial initiated and funded by the National Heart, Lung, and Blood Institute.

Setting  Study sites were located in Albuquerque, NM, Baltimore, Md, Boston, Mass, Denver, Colo, St Louis, Mo, San Diego, Calif, Seattle, Wash, and Toronto, Ontario.

Participants  A total of 1041 children aged 5 to 12 years were randomized to the trial after confirming their mild to moderate asthma.

Main Outcome Measures  Psychological questionnaires administered at baseline to parents and participants assessed anxiety, depression, behavioral competence, social support, and family functioning.

Results  Psychological difficulty was not increased in this group of asthmatic children and their families. Psychological adaptation in the children was associated with the psychological adaptation of the family but not with disease-related variables. Scores from the Impact on Family Scale, a measure of family quality of life related to the child's illness, were associated more strongly with the overall psychological characteristics of the family and child and very little with disease characteristics or severity.

Conclusions  Mild to moderate asthma has imposed modest effects on the daily life but not the psychological health of this group of children. Variation in the psychological characteristics of these children was, as is the case for most children, traceable to the overall psychological adaptation of their families.

PSYCHOLOGICAL disorder has been repeatedly associated with childhood asthma.1-11 Anxiety and depressive affect in the asthmatic child and distress in the family have been most frequently documented.4,12,13 This collective literature implies that a large group of asthmatic children have been psychologically compromised by their illness and may be in need of mental health services.7 However, inconsistencies in the findings from these investigations obscure the conclusions that can be drawn from them. For example, although some investigators reported a relationship between disease severity and psychological severity,1,6,7,10,11,14 others did not.2-5 Variation in sampling and methods likely contributed to these inconsistencies and the consequent confusion about the relationship between asthma and psychological adaptation in children. Two methodological shortcomings characterize many of these studies.15,16 First, most relied on parental report of asthma diagnosis, severity, medication use, and symptom control without documentation by pulmonary function test results, medical chart review, or physician verification of findings. In the weakest scenario, questionnaires were mailed to parents with no face-to-face contact with patients or their parents.1,8 Second, many of the patient groups recruited were "samples of convenience,"2 single-site cohorts whose demographic and illness characteristics may produce different outcomes from other small samples.

Some of the discrepancies in findings about the relationship between disease severity and psychological adaptation can be traced to differences in definitions of asthma severity. In some instances, inclusion in a study was based only on a diagnosis of asthma reported by the parent, with no severity-related assessment.2,3 When illness severity was assessed by pulmonary function, frequency of asthma attacks, or medication use, no direct relationship between illness and psychopathological adaptation was found.4,8,9 In contrast, days of asthma-related school absence11,17,18 or activity restriction7 were frequently associated with the child's psychological adaptation as measured by standardized parent-report questionnaires. In these cases, however, the relationship between illness-related events and psychological adaptation remained relatively weak, and all variables were less significant determinants of psychological adaptation than characteristics of the family, such as parental psychiatric disorder,9 exposure to stressful life events,8 family conflict,1 and maternal social support.5

The present investigation examined the illness-adaptation relationship in children with mild to moderate asthma participating in a large, multicenter clinical trial. Based on previous investigations, it was hypothesized that this population of asthmatic children would demonstrate significant compromise in psychological adaptation and that the degree of compromise would be most strongly associated with family functioning but also associated with functional control and measures of disease severity.

Participants and methods

The Childhood Asthma Management Program (CAMP) is a multicenter randomized clinical trial initiated and funded by the National Heart, Lung, and Blood Institute, Bethesda, Md, to assess the long-term effects of 3 asthma treatments on lung growth. The treatment arms included 2 anti-inflammatory medication groups and a control group. Secondary outcome measures consisted of long-term effects on bronchial responsiveness to methacholine, patient-reported asthma symptoms and peak flowmeter readings, health care utilization, physical growth, and safety and adverse effects. Recognizing that chronic childhood asthma can significantly affect the psychological well-being of the child and family, an extensive protocol of psychological measures was also included.


A total of 1041 children, aged 5 to 12 years, were enrolled at the 8 clinical centers (Albuquerque, NM, Baltimore, Md, Boston, Mass, Denver, Colo, St Louis, Mo, San Diego, Calif, Seattle, Wash, and Toronto, Ontario) after confirming their mild to moderate asthma with criteria that included asthma symptoms or daily medication use for at least 6 months in the previous year; current asthma symptoms (by diary card report or AM or PM peak expiratory flow rate <80% of personal best measurement; at least 8 days of significant asthma symptoms within the 28-day screening period); bronchial hypersensitivity as demonstrated by 12.5 mg/mL or less of methacholine chloride required to cause a 20% decrease in forced expiratory volume in 1 second (FEV1) (PC20); and ability of the family to comply with the study protocol. Exclusion criteria included other significant illness, other pulmonary disease, severe chronic sinusitis, treatment for gastroesophageal reflux, introduction of or change in allergen immunotherapy within 30 days, pregnancy, inability to complete FEV1 maneuvers or methacholine challenge, or severe asthma (demonstrated by FEV1<65% predicted when not using inhaled β-agonists for >4 hours and theophylline for >24 hours, history of intubation for asthma, more than 1 hospitalization for asthma in the past year, more than 5 courses of oral glucocorticoids in the past year, or high β-agonist use during the 28-day screening period). All data contained in this report were collected during the screening period before randomization to a treatment group.


Patients at each center were recruited from a variety of sources, including clinics, hospitals, pediatricians, general practitioners, family practitioners, managed care groups, schools, and the general public (through radio, television, and newspaper advertising). A brief telephone screening was conducted with patients and families who expressed an interest in participation. If the child qualified for further screening, an initial appointment was scheduled at which time informed consent was obtained and asthma patient education information was provided. A minimum of 5 screening visits occurred during 5 weeks to 4 months that included a 28-day period when the patient did not use any asthma medications except bronchodilator as needed, during which symptoms and peak flows were recorded by the patients. During the screening period, various measurements were obtained (eg, bone density, blood values, pulmonary function, methacholine challenge) and procedures performed (skin testing and physical examination), and the child and family participated in an asthma education program that reinforced protocol-specific procedures and general guidelines for appropriate asthma care. Results from the screening evaluations were used to determine eligibility and to assess each family's ability to adhere to the protocol. The psychological evaluation occurred at the fourth screening visit, just before randomization into the trial. Further information is available elsewhere regarding CAMP study design19 and recruitment.20

Child and family psychosocial measures

A committee composed of behavioral scientists from the 8 centers was responsible for selecting psychological measures to be included in the study protocol. The selected psychological questionnaires were standardized, published instruments that could evaluate constructs identified through previous investigations to be important to the psychological adaptation and quality of life of asthmatic children and their families. The following is a list of the questionnaires selected: Child Behavior Checklist (CBCL),21 which measured parent-reported evaluation of behavioral and emotional problems, social competence, and school competence; Children's Depression Inventory,22 which measured child-reported depressive symptoms; Revised Children's Manifest Anxiety Scale,23 which measured child-reported anxiety symptoms; Social Anxiety Scale for Children–Revised,24 which measured child-reported anxiety in peer interactions; Family Environment Scale,25 which measured parent-reported family functioning; Impact on Family Scale,26 which measured parent-reported impact of the child's illness on the family; and Medical Outcomes Study Social Support Survey,27 which measured parent-reported relationships outside the immediate family that provide the family social support.

Disease-related measures

Measures of disease severity were chosen to reflect functional control and direct measurement of pulmonary function and airway reactivity.

Physiological measures

Physiological measures included pulmonary function (percent of predicted FEV1 before administration of bronchodilator after administration of bronchodilator), airway responsiveness (prebronchodilator to postbronchodilator percentage change in FEV1), PC20 (methacholine dose, administered incrementally for 2 minutes by inhalation, at which a 20% decrease in FEV1 occurs), and functional control measures (days of oral steroid use for asthma treatment in past 6 months and days of school missed because of asthma in past year by parent report).

Data collection and quality assurance

Procedures were instituted to ensure correct and consistent collection of psychological data at all 8 centers. A policy was established that data collection would be conducted by a qualified psychometrist supervised by an on-site psychologist. Additional steps included the development of a psychometric data collection and scoring manual for use at all centers; a general certification test for all CAMP staff and a specific test for certification of psychometrists; and a standardized policy for data entry at each center into a desktop computer followed with checks for outliers, collection during appropriate time windows, and completeness.


The mean (SD) and median (interquartile range) are listed as summary statistics for the continuous variables. Categorical data were summarized using percentage of total population. One-sample t tests were used to determine if, on average, observed values on the CBCL differed from the expected values based on age and sex in a normal population.21 Spearman correlations were chosen to describe the strength of a monotonic relationship between 2 variables. Plots of all correlations were examined for nonmonotonic relationship between pairs of variables. Stepwise regression was used to determine which combination of variables predicted the CBCL total score and Impact on Family scores. No formal statistical adjustments were made for the number of correlations examined. Thus, the reader should exercise caution in interpreting small correlation coefficients. All statistical tests were 2-sided and conducted at the .05 significance level using SAS statistical software, version 6.12 (SAS Institute Inc, Cary, NC).


Table 1 lists summary statistics for demographic, pulmonary function, functional control, and physiological parameters. The study group included 32% minorities. Most of the caretakers answering screening questionnaires were mothers. Households predominantly had at least 1 parent with some college education. Inclusion criteria were designed to recruit patients with mild to moderate asthma. At presentation, mean FEV1 before bronchodilator use was 93.8% of predicted and improved significantly with bronchodilator to 103.0% of predicted. For most children in this study, child psychosocial and family psychosocial variables were within the expected range and not indicative of clinical problems based on published normative data for the Children's Depression Inventory,22 Revised Children's Manifest Anxiety Scale,23 Social Anxiety Scale for Children–Revised,24 CBCL,21 Family Environment Scale,25 Impact on Family Scale,26 and Medical Outcomes Study Social Support Survey.27 Mean Internalizing, Total Problem, and School Competence scores from the CBCL were significantly different from the well-standardized population norms established for this instrument.21 However, these mean differences were small (2.75, 1.50, and –1.57 for Internalizing, Total Problem, and School Competence scores, respectively), indicating only a slight tendency for more problems. None of the mean scores approached the range of 60 and higher, which indicates clinically significant behavioral problems. Mean Externalizing and Social Competence scores did not differ significantly from population norms. Also consistent with the presence of significant asthma was methacholine PC20 reactivity in the range of 0.5 to 2.8 mg/mL.

Table 1. 
Summary of Demographic, Pulmonary Function, Functional Control, and Psychosocial Variables for 1041 Children in the Childhood Asthma Management Program*
Summary of Demographic, Pulmonary Function, Functional Control, and Psychosocial Variables for 1041 Children in the Childhood Asthma Management Program*

Correlations between disease-related and psychosocial variables

Table 2 lists Spearman correlation coefficients between disease-related variables and psychosocial variables. Correlations of psychosocial variables with PC20, prebronchodilator and postbronchodilator percent predicted FEV1, and FEV1 percentage change following bronchodilator use were small and for the most part not significant. Postbronchodilator percent predicted FEV1was slightly correlated with the Impact on Family Scale and, negatively, with the Children's Depression Inventory. FEV1 percentage change was very slightly correlated with the School Competence score from the CBCL. The Impact on Family Scale correlated very slightly and positively with days of oral steroid use in past year and days of school missed. Days of school missed in past year was also positively correlated with the CBCL Internalizing and Total Problem scores and the Impact on Family Scale score but negatively correlated with Social Competence and School Competence scores. All these associations are in the direction expected, where the number of school days missed negatively affects child and family.

Table 2. 
Spearman Correlations of Disease-Related and Psychosocial Variables for 1041 Children in the Childhood Asthma Management Program*
Spearman Correlations of Disease-Related and Psychosocial Variables for 1041 Children in the Childhood Asthma Management Program*

Factors predicting emotional and behavioral dysfunction in the asthmatic child

Stepwise regression was used to determine what combination of factors predicted the child's psychological adjustment as measured by the CBCL total score. All disease-related and psychological variables were available for inclusion in the model with the exception of the Revised Children's Manifest Anxiety Scale, Children's Depression Inventory, the Social Anxiety Scale scores, and the CBCL problem scores, which like the CBCL total score are measures of child psychopathological dysfunction. Results indicated that the measure of the family's network of social support outside the immediate family was the strongest contributor to the model, with a partial R2 of 0.116 (Table 3). Thus, 11.6% of the variability in CBCL total score can be explained by social support after accounting for all other variables selected in the model. Other factors that explain the variability in CBCL total score included measures of general family functioning (conflict, expressiveness, and cohesion), perceived impact of the illness, and missed school days. School absence days was the only disease-related variable included in the model. Adjustment for clinical site did not appreciably alter the regression coefficients in the final model.

Table 3. 
Stepwise Regression of Child Psychological Adjustment (Child Behavior Checklist Total Problem Score)*
Stepwise Regression of Child Psychological Adjustment (Child Behavior Checklist Total Problem Score)*

Factors associated with the parents' perception that their child's illness negatively affects the family

A stepwise regression was conducted to determine what combination of pulmonary function, functional control, and child and family psychosocial variables is associated with parental report that the illness affects the family (Table 4). Results show that perceived social support, absence from school, and child behavioral problems contribute most to the Impact on Family score. The few disease-related variables that emerge in the model (FEV1 change, oral steroid days, prebronchodilator FEV1) account for only a small amount of the variance in the Impact on Family Scale score. Both CBCL Social and School Competence scores also contributed slightly to the model. Adjustment for clinical site did not appreciably alter the regression coefficients in the final model.

Table 4. 
Stepwise Regression of Impact on Family Scale Total Score*
Stepwise Regression of Impact on Family Scale Total Score*


In this study of 1041 children with mild to moderate asthma participating in CAMP, little evidence was found for increased psychological difficulty in the children or their families. Furthermore, there is minimal documentation regarding the relationship between physiological parameters of their illness and the psychological characteristics of these children and their families. The 4 measures of pulmonary function and airway reactivity (PC20, prebronchodilator percent predicted FEV1, postbronchodilator percent predicted FEV1, and FEV1 percentage change following bronchodilator use) correlated with few of the 9 measures of child or family psychological adaptation (CBCL Internalizing, Externalizing, or Total Problem scores; Children's Manifest Anxiety Scale; Children's Depression Inventory; Family Environment Scale Cohesion, Expressiveness, or Conflict scores; Medical Outcomes Study Social Support Survey). A small but significant correlation was found between the Impact on Family Scale and postbronchodilator percent predicted FEV1 but not with any additional lung function measures.

School and Social Competence scores, as reported by parents on the CBCL, were slightly decreased and negatively correlated with school absence. A small correlation was also found between School Competence and change in FEV1 following bronchodilator use. These results suggest that, although emotional and behavioral problems are not increased, school adaptation and peer interactions may be somewhat inhibited, particularly in children who demonstrate greater airway obstruction and school absence related to their asthma. However, the size of mean score differences and correlations was in most cases so small that it was clinically irrelevant. In short, mild to moderate asthma has imposed modest effects on the daily life but not the psychological health of this group. Because the children participating in this study had volunteered and were screened for enrollment, conclusions drawn herein may not apply to all children with asthma. Nonetheless, this study includes a broad spectrum of children across North America and should provide greater generalization than most previous studies of pediatric asthma.

Other investigations have also reported no increase in psychological dysfunction in children with mild to moderate asthma.10,28 The presumption that chronic illness will bring compromised psychological adaptation must be tempered by the realization that even some children who have experienced extreme stress from poverty, war, natural disasters, physical disability, and illness emerge as reasonably happy and psychologically well-adjusted individuals.29 The capacity to survive such stress has been traced to "protective" factors, which include the child's own temperament, strengths of the family, and external sources of support.30 In the present study, the absence of significant psychological dysfunction in children with chronic asthma may also reflect the fact that their illness, although uncomfortable and inconvenient, is not of sufficient magnitude to alter their psychological adaptation.

Because participation in CAMP is limited to children with mild to moderate asthma, these findings cannot be generalized to children with severe asthma. Indeed, there is evidence that psychological disorder is increased in children only when their asthma is severe.10,11,31 Others have reported no severity-mediated relationship between the disease and psychological adaptation.8,9,18 Inaccuracy in the assessment of asthma severity, however, may occur in studies that rely on parent-report measures, include no objective disease measures, and fail to represent severe asthma. When this occurs, absence of an observed severity-psychopathology relationship may reflect the absence of patients with severe asthma.

The psychological adaptation of a child with asthma is determined most strongly by the emotional climate of the family. The impact of the child's illness appears to be secondary to parental adaptation. Hence, the regression of numerous variables on the CBCL Total Problem score revealed that secure family relationships, external social support, and the perception of minimal illness impact were together most strongly associated with the child's emotional and behavioral strength, whereas disease-related measures were not (Table 3). Others have reported that severe asthma has a detrimental impact on the child's psychological adaptation only when the illness co-occurs with other adverse circumstances in the family.5,8,9

Parental responses to questionnaires evaluating child psychosocial adaptation are largely influenced by the psychological well-being and personal outlook of the parent completing the questionnaire. Thus, a depressed parent may describe his or her child as less psychologically adapted than a nondepressed parent viewing the same child.31 Any attempt to evaluate the relationship between illness and psychological adaptation must be based on a theoretical model that takes sufficiently into account the complex set of relationships between illness severity, illness control, family characteristics, and parental mental health.32 Failure to do so will result in simplistic and inaccurate conclusions. For example, inclusion of only the Impact on Family Scale in an investigation of childhood asthma may appear to indicate that correlations between this scale and symptom control measures reflect the degree to which the illness burdens the family, as is implied by the name of the questionnaire. The regression of psychological and disease-related variables onto the Impact on Family Scale score (Table 4), however, clearly reveals that parents' perceptions of the effect of their child's illness on the entire family are significantly influenced by other family characteristics and only minimally by illness severity. For instance, families that are challenged by such factors as economic instability or few social resources may perceive the child's asthma as an enormously disruptive influence, whereas families with relative stability and support may have considerable resilience and report little adverse impact even in the presence of severe illness. The requirement of sufficient psychosocial measurement is equally applied to investigations that use quality-of-life instruments. Inadequate measurement of important correlates may lead to simplistic conclusions about the impact of asthma on the child and family's life without sufficient understanding of the complex variables that influence patient or parent subjective perception of the effects of the illness.

Results from this investigation are consistent with the psychosocial model of children's health status outcomes proposed by Bonner and Finney.32 In the model, the child's and family's responses to the chronic illness are mediated by a variety of factors, including the family's level of adaptability, previous patterns of health care utilization, existing psychological disorder, and the degree to which parents perceive that they have control of the illness. Relatively mild illness places little additional burden on the family. More severe illness requires greater adaptive resources from the family; when such adaptability cannot be achieved, both the child and family may experience disabling levels of distress and consequent decreased health quality for the child. The psychological health of the parents, particularly the mother, is an additional potent factor influencing the child's response to the illness and risk of psychopathological dysfunction.

Pediatricians must judge when to refer a child for psychological intervention. For children with asthma, numerous factors work collectively to determine psychological health. Relatively mild or even moderate illness is unlikely to result in psychological disturbance, but emotional and behavioral problems may emerge when the illness occurs in a distressed family. Increased illness severity, impaired physical and social activity, and frequent interaction with the health care system may additionally alert the physician to a need for consultation with a mental health practitioner.

Accepted for publication January 5, 2000.

The Childhood Asthma Management Program is supported by contracts NO1-HR16044, 16045, 16046, 16047, 16048, 16049, 16050, 16051, and 16052 with the National Heart, Lung, and Blood Institute, Bethesda, Md.

The members of the Childhood Asthma Management Program (CAMP) Research Group as of February 1998 are as follows:

Clinical Centers

ASTHMA, Inc, Seattle, Wash: Gail G. Shapiro, MD (director); Thomas R. DuHamel, PhD (codirector); Timothy G. Wighton, PhD (codirector); Tamara Chinn, RN (coordinator); C. Warren Bierman, MD; Clifton T. Furukawa, MD; Leonard C. Altman, MD; Frank S. Virant, MD; Paul V. Williams, MD; Dominick A. Minotti, MD; Michael S. Kennedy, MD; Jonathan W. Becker, MD; Chris Reagan; Heather Eliassen; Dan Crawford, RN; Babi Hammond; Grace Strodtbeck; Marian Sharpe, RN (1992-1994).

Brigham & Women's Hospital, Boston, Mass: Scott Weiss, MD, MS (director); Dirk Greineder, MD (codirector); Walter Torda, MD (codirector); Martha Tata, RN (coordinator); Peter Barrant, MD; Anthony DeFilippo; Mary Grace, RN (1993-1996); Stephanie Haynes; Margaret Higham, MD; Susan Kelleher (1993-1997); Jay Koslof, PhD (1993-1995); Nancy Madden, RN; Dana Mandel; Agnes Martinez (1994-1997); Jean McAuilffe (1994-1995); Paola Pacella; Paula Parks (1993-1995); Anne Plunkett, RN; Kay Seligsohn, PhD; June Traylor, MSN, RN; Melissa Van Horn, PhD; Janice Ware, PhD; Carolyn Wells, RN (1993-1995); Ann Whitman, RN (1994-1996).

The Hospital for Sick Children, Toronto, Ontario: Joe Reisman, MD, FRCPC (director); Ian MacLusky, MD, FRCPC (codirector); Henry Levison, MD, FRCPC (former director); Anita Hall, RN (coordinator); Yola Benedet; Jennifer Chay; Michelle Collinson, RN; Jane Finlayson-Kulchin, RN; Kenneth Gore, MA; Melody Miki, RN; Renée Sananes, PhD.

Johns Hopkins Asthma & Allergy Center, Baltimore, Md: N. Franklin Adkinson, Jr, MD (director); Peyton Eggleston, MD (codirector); Karen Huss, DNSc (coinvestigator); Leslie Plotnick, MD (coinvestigator); Margaret Pulsifer, PhD (coinvestigator); Cynthia Rand, PhD (coinvestigator); Barbara Wheeler, RN, BSN (coordinator); Nancy Bollers, RN; Kimberly Hyatt; Betsy Leritz; Mildred Pessaro; Stephanie Philips, RN.

National Jewish Medical and Research Center, Denver, Colo: Stanley Szefler, MD (director); Harold S. Nelson, MD (codirector); D Sundström (coordinator); Bruce Bender, PhD; Kristin Brelsford; Melanie Gleason, PA-C; Joseph Hassell; Caroline Hendrickson, RN (coordinator, 1995-1997); Charles G. Irvin, PhD; Tara Junk; Andrew Liu, MD; Joseph Spahn, MD; Michael P. White; Jeryl Feeley, MA (coordinator, 1992-1995); Jessyca Bridges (1995-1997); Jody Ciacco (1993-1996); Michael Eltz (1994-1995); Michael Flynn (1995-1996); Marcia Hefner (1992-1994); Daniel Hettleman (1995-1996); Jeffrey Jacobs, MD (1996-1997); Alan Kamada, PharmD (1994-1997); Sai Nimmagadda, MD (1993-1996); Kendra Sandoval (1995-1997); Jessica Sheridan (1994-1995); Trella Washington (1993-1997); Eric Willcutt (1996-1997).

University of California, San Diego: Robert Zeiger, MD, PhD (director); Anthony Horner, MD (codirector); Noah Friedman, MD (coinvestigator); Al Jalowayski, PhD (coinvestigator); Alan Lincoln, PhD (coinvestigator); Michael H. Mellon, MD (coinvestigator); Michael Schatz, MD (coinvestigator); Kathleen Harden, RN (coordinator); Linda L. Galbreath; Ellen Hanson; Elaine M. Jenson; Shirley King, MSW; Brian Lopez; Michaela Magiari, MA; Catherine A. Nelle, RN; Senia Pizzo, PhD; Eva Rodriquez; James G. Easton, MD (codirector, 1993-1994); Kathleen Mostafa, RN (1994-1995); Avraham Moscona (1994-1996); Karen Sandoval (1995-1996).

University of New Mexico, Albuquerque: Bennie McWilliams, MD (director); Robert D. Annett, PhD (coinvestigator); H. William Kelly, PharmD (coinvestigator); Mary Spicher, RN (coordinator); Diane Becker; Selda Bereket; Marisa Braun; Shannon Bush; David Hunt; Margaret Moreshead; Barbara Ortega.

Washington University, St Louis, Mo: Robert C. Strunk, MD (director); Gordon R. Bloomberg, MD (coinvestigator); James M. Corry, MD (coinvestigator); Thomas F. Smith, MD (coinvestigator); Ellen Albers, RNC, MSN (coordinator); Bernadette Davantes; Gregg Belle; Marisa Dolinsky; Edwin B. Fisher, PhD; Stephen J. Gaioni, PhD; Emily Glynn, CPNP, MSN; Cathy Herman; Debra Kemp, RN, BSN; Claire Lawhon; Sharon Meltzer; Cynthia Moseid; Tina Oliver-Welker, CRTT; Denise Rodgers, RPFT; Carl Turner; Deborah K. White; Mary Caesar, MPH (coordinator, 1993-1996); Diana S. Richardson (1994-1997); Elizabeth Ryan (1994-1996); Susan C. Sylvia (1994-1996).

Resource Centers

Chair's Office, National Jewish Medical and Research Center: Reuben Cherniack, MD (study chair).

Coordinating Center, The Johns Hopkins University, Baltimore, Md: James Tonascia, PhD (director); Curtis Meinert, PhD (codirector); Debra Amend-Libercci; Patricia Belt; Karen Collins; Betty Collison; Christopher Dawson; John Dodge; Michele Donithan, MHS; Dawn Easton; Vera Edmonds; Cathleen Ewing; Judith Harle; Robert Huffman; Kung-Yee Liang, PhD; Jill Meinert; Deborah Nowakowski; Rosetta Owens; Michael Smith; Alice Sternberg, ScM; Mark Van Natta, MHS; Robert Wise, MD.

Drug Distribution Center, McKesson BioServices Corporation, Rockville, Md: Robert Rice, PhD, DVM (director of pharmaceutical services division operations); Bob Hughes (director of pharmaceutical repository); Tom Lynch (repository technician); Sarma Vadlamani, RPh.

Dermatology, Allergy and Clinical Immunology (DACI) Reference Laboratory, Johns Hopkins University School of Medicine, Asthma and Allergy Center, Baltimore, Md: Robert G. Hamilton, PhD, D ABMLI (director); Carol Schatz (business office manager); Jack Wisenauer, MT (laboratory supervisor).

Immunology and Complement Laboratory, National Jewish Medical and Research Center: Ronald Harbeck, PhD (director); Rhonda Emerick; Brian Watson.

Patient Education Center, National Jewish Medical and Research Center: Stanley Szefler, MD (director); Bruce Bender, PhD; Harold Nelson, MD; Cindi Culkin, MEd (coordinator, 1996-1997); Jeryl Feeley, MA (coordinator, 1992-1995); Sarah Oliver, MPH (co-coordinator, 1992-1996); Colleen Lum Lung, RN (1992-1994); Ann Mullen, RN (1994-1996).

Project Office, National Heart, Lung, and Blood Institute, Bethesda, Md: Virginia Taggart, MPH (project officer); Pamela Randall (contracting officer); Paul Albert, PhD; Suzanne Hurd, PhD; James Kiley, PhD; Margaret Wu, PhD; Sydney Parker, PhD (1991-1994).

S&M Instrument Company, Doylestown, Pa: William Letvenko (president); William Repko.

Serum Repository, DACI Reference Laboratory, Johns Hopkins Asthma & Allergy Center: Robert Hamilton, PhD (director); N. Franklin Adkinson, MD (codirector).

The University of Iowa, College of Pharmacy, Division of Pharmaceutical Services, Iowa City: Rolland Poust, PhD (director); David Herold, RPh; Dennis Elbert, RPh.

Pharmaceutical Suppliers

Astra USA, Inc, Westborough, Mass; Glaxo, Inc Research Institute, Research Triangle Park, NC; Rhone-Poulenc Rorer, Collegeville, Pa; and Schering-Plough, Kenilworth, NJ.


Data and Safety Monitoring Board: Howard Eigen, MD (chair); Michelle Cloutier, MD; John Connett, PhD; Leona Cuttler, MD; Clarence E. Davis, PhD; David Evans, PhD; Meyer Kattan, MD; Sanford Leikin, MD; Rogelio Menendez, MD; F. Estelle R. Simons, MD.

Executive Committee: Reuben Cherniack, MD; Curtis Meinert, PhD; Robert Strunk, MD; Stanley Szefler, MD; Virginia Taggart, MPH; Janes Tonascia, PhD.

Steering Committee: Reuben Cherniack, MD (chair); Robert Strunk, MD (vice-chair); N. Franklin Adkinson, MD; Robert Annett, PhD (1992-1995, 1997-1998); Bruce Bender, PhD (1992-1994, 1997-1998); Mary Caesar, MPH (1994-1996); Thomas R. DuHamel, PhD (1992-1994, 1996-1997); Henry Levison, MD (1992-1996); Alan Lincoln, PhD (1994-1995); Bennie McWilliams, MD; Curtis L. Meinert, PhD; Sydney Parker, PhD (1991-1994); Joe Reisman, MD, FRCPC; Kay Seligsohn, PhD (1996-1997); Gail G. Shapiro, MD; Marian Sharpe (1993-1994); Stanley Szefler, MD; Virginia Taggart, MPH; Martha Tata, RN (1996-1998); James Tonascia, PhD; Scott Weiss, MD, MS; Barbara Wheeler, RN, BSN (1993-1994); Robert Wise, MD; Robert Zeiger, MD, PhD.

Reprints: Bruce G. Bender, PhD, National Jewish Medical and Research Center, Denver, CO 80206.

Perrin  JMMacLean  WEPerrin  EC Parental perceptions of health status and psychologic adjustment of children with asthma.  Pediatrics. 1989;8326- 30Google Scholar
Lavigne  JVFaier-Routman  J Psychological adjustment to pediatric physical disorders: a meta-analytic review.  J Pediatr Psychol. 1992;17133- 157Google ScholarCrossref
Padur  JSRapoff  MAHouston  BK  et al.  Psychosocial adjustment and the role of functional status for children with asthma.  J Asthma. 1995;32345- 353Google ScholarCrossref
Kashani  JHKonig  PShepperd  JAWilfley  DMorris  DA Psychopathology and self-concept in asthmatic children.  J Pediatr Psychol. 1988;13509- 520Google ScholarCrossref
Hamlett  KWPelligrini  DSKatz  KS Childhood chronic illness as a family stressor.  J Pediatr Psychol. 1992;1733- 47Google ScholarCrossref
Norrish  MTooley  MGodfrey  S Clinical, physiological, and psychological study of asthmatic children attending a hospital clinic.  Arch Dis Child. 1977;52912- 917Google ScholarCrossref
Bussing  RHalfon  NBenjamin  BWells  KB Prevalence of behavior problems in US children with asthma.  Arch Pediatr Adolesc Med. 1995;149565- 572Google ScholarCrossref
MacLean  WEPerrin  JMGortmaker  SPierre  CB Psychological adjustment of children with asthma: effects of illness severity and recent stressful life events.  J Pediatr Psychol. 1992;17159- 171Google ScholarCrossref
Steinhausen  HSchindler  HStephan  H Correlates of psychopathology in sick children: an empirical model.  J Am Acad Child Psychiatry. 1983;22559- 564Google ScholarCrossref
McNichol  KNWilliams  HEMcAndrew  AJ Spectrum of asthmas in children, III: psychological and social components.  BMJ. 1973;416- 20Google ScholarCrossref
Graham  PJRutter  MYule  WPless  IB Childhood asthma: a psychosomatic disorder?  Br J Prev Soc Med. 1967;2178- 85Google Scholar
Bender  BLerner  JKollasch  E Mood and memory changes in asthmatic children receiving corticosteroids.  J Am Acad Child Adolesc Psychiatry. 1988;6720- 725Google ScholarCrossref
Austin  K Comparison of child adaptation to epilepsy and asthma.  J Child Adolesc Psychiatr Ment Health Nurs. 1989;2139- 144Google ScholarCrossref
Klinnert  MD The psychology of asthma in the school-aged child. Kernberg  PFBemporad  JReds. Handbook of Child and Adolescent Psychiatry: Volume II. The School-Aged Child: Development and Symptoms. New York, NY John Wiley & Sons1997;579- 594Google Scholar
Bender  BMilgrom  HRand  CAckerson  L Psychological factors associated with medication nonadherence in asthmatic children.  J Asthma. 1998;35347- 353Google ScholarCrossref
Annett  RBender  B Neuropsychological dysfunction in asthmatic children.  Neuropsychol Rev. 1994;491- 115Google ScholarCrossref
Stein  REKJessop  DL Relationship between health status and psychological adjustment among children with chronic conditions.  Pediatrics. 1984;73169- 174Google Scholar
Klinnert  MDMcQuaid  ELGavin  LA Assessing the family asthma management system.  J Asthma. 1997;3477- 88Google ScholarCrossref
Childhood Asthma Management Program Research Group, The Childhood Asthma Management Program (CAMP): design, rationale, and methods.  Control Clin Trials. 1999;2091- 120Google ScholarCrossref
Childhood Asthma Management Program Research Group, Recruitment of participants in the Childhood Asthma Management Program (CAMP), I: description of methods.  J Asthma. 1999;36217- 237Google ScholarCrossref
Achenbach  TM Manual for the Child Behavior Checklist/4-18 and 1991 Profile.  Burlington Dept of Psychiatry, University of Vermont1991;
Kovacs  M Rating scales to assess depression in school aged children.  Acta Paedopsychiatr. 1981;46305- 315Google Scholar
Reynolds  CRRichmond  BO Revised Children's Manifest Anxiety Scale (RCMAS).  Los Angeles, Calif Western Psychological Services1985;
LaGreca  AM Social Anxiety Scale for Children–Revised: Instruction Packet and Copy of Measures.  Miami, Fla AM LaGreca1992;
Moos  RMoos  B Family Environment Scale Manual. 2nd ed. Palo Alto, Calif Consulting Psychologists Press1986;
Stein  REKReissman  CK The development of an Impact-on-Family Scale: preliminary findings.  Med Care. 1980;18465- 472Google ScholarCrossref
Sherbourne  CDStewart  AL The MOS Social Support Survey.  Soc Sci Med. 1991;32705- 714Google ScholarCrossref
Wjst  MRoell  GDold  S  et al.  Psychosocial characteristics of asthma.  J Clin Epidemiol. 1996;49461- 466Google ScholarCrossref
Cichetti  DGarmezy  N Prospects and promises in the study of resilience.  Dev Psychopathol. 1993;5497- 502Google ScholarCrossref
Garmezy  NedRutter  Med Stress, Coping and Development in Children.  New York, NY McGraw-Hill1983;
Thompson  RJGustafson  KEHamlett  KWSpock  A Psychological adjustment of children with cystic fibrosis the role of child cognitive processes and maternal adjustment.  J Pediatr Psychol. 1992;17741- 755Google ScholarCrossref
Bonner  MJFinney  JW A psychosocial model of children's health status. Ollendick  THPrinz  RJeds. Advances in Child Clinical Psychology. Vol 18 New York, NY Plenum Press1996;231- 282Google Scholar