0
Article |

Three-Year Maintenance of Improved Diet and Physical Activity:  The CATCH Cohort FREE

Philip R. Nader, MD; Elaine J. Stone, PhD; Leslie A. Lytle, PhD; Cheryl L. Perry, PhD; Stavroula K. Osganian, MD; Steve Kelder, PhD; Larry S. Webber, PhD; John P. Elder, PhD; Deanna Montgomery, PhD; Henry A. Feldman, PhD; Margaret Wu, PhD; Carolyn Johnson, PhD; Guy S. Parcel, PhD; Russell V. Luepker, MD
[+] Author Affiliations

From the Division of Community Pediatrics, University of California, San Diego (Dr Nader); National Heart, Lung, and Blood Institute, Bethesda, Md (Drs Stone and Wu); Division of Epidemiology, University of Minnesota, Minneapolis (Drs Lytle, Perry, and Luepker); New England Research Institutes Inc, Watertown, Mass (Drs Osganian and Feldman); University of Texas Health Science Center–Houston Center for Health Promotion, Research, and Development, Houston (Drs Kelder, Montgomery, and Parcel); Tulane University School of Public Health and Tropical Medicine, New Orleans, La (Drs Webber and Johnson); and San Diego State University, San Diego, Calif (Dr Elder).


Arch Pediatr Adolesc Med. 1999;153(7):695-704. doi:10.1001/archpedi.153.7.695.
Text Size: A A A
Published online

Objective  To assess differences through grade 8 in diet, physical activity, and related health indicators of students who participated in the Child and Adolescent Trial for Cardiovascular Health (CATCH) school and family intervention from grades 3 through 5.

Design  Follow-up of the 4-center, randomized, controlled field trial with 56 intervention and 40 control elementary schools.

Participants  We studied 3714 (73%) of the initial CATCH cohort of 5106 students from ethnically diverse backgrounds in California, Louisiana, Minnesota, and Texas at grades 6, 7, and 8.

Results  Self-reported daily energy intake from fat at baseline was virtually identical in the control (32.7%) and intervention (32.6%) groups. At grade 5, the intake for controls remained at 32.2%, while the intake for the intervention group declined to 30.3% (P<.001). At grade 8, the between-group differential was maintained (31.6% vs 30.6%, P=.01). Intervention students maintained significantly higher self-reported daily vigorous activity than control students (P=.001), although the difference declined from 13.6 minutes in grade 5 to 11.2, 10.8, and 8.8 minutes in grades 6, 7, and 8, respectively. Significant differences in favor of the intervention students also persisted at grade 8 for dietary knowledge and dietary intentions, but not for social support for physical activity. No impact on smoking behavior or stages of contemplating smoking was detected at grade 8. No significant differences were noted among physiologic indicators of body mass index, blood pressure, or serum lipid and cholesterol levels.

Conclusion  The original CATCH results demonstrated that school-level interventions could modify school lunch and school physical education programs as well as influence student behaviors. This 3-year follow-up without further intervention suggests that the behavioral changes initiated during the elementary school years persisted to early adolescence for self-reported dietary and physical activity behaviors.

Figures in this Article

SUBSTANTIAL epidemiological evidence links health behaviors of a population to cardiovascular disease.1 These health behaviors include lack of vigorous and regular physical activity, overconsumption of food, especially high-fat food, and smoking tobacco. A great deal of evidence points to the childhood and early adolescent years not only as key for the acquisition of these behaviors, but also as important in establishing the physiological antecedents of adult cardiovascular disease.24 Recent data on the increasing prevalence of obesity,5 the decline of physical activity,6 and the importance of dietary habits in the establishment of adult chronic disease7 underscore the relevance of interventions in childhood to improve diet and activity habits.

The importance of the child and adolescent years for cardiovascular disease risks is based on conclusions of several avenues of research. One body of research is pathologic evidence relating to vascular anatomical changes in children and the tracking of physiological parameters in children.812 This research suggests that cardiovascular disease risk begins in childhood and has some stability during maturation. The acquisition and tracking of health behaviors that predispose children to cardiovascular risk are also being studied.13 This research suggests that unhealthful behavioral patterns initiated in childhood, such as being sedentary, eating a diet high in fat and saturated fat, and (later) smoking, persist through adolescence.2,14,15 While the evidence strongly supports implementing population-based risk reduction programs aimed at youth,1416 few such studies have examined the maintenance of behavior change after the intervention ceases.

Schools represent potentially important venues for primary prevention programs aimed at youth because they have access to large populations and have existing structures and systems to support health behavior change programs.16,17 The National Institutes of Health–funded, multisite Child and Adolescent Trial for Cardiovascular Health (CATCH) study was designed to test the effectiveness of a feasible school-based program to reduce cardiovascular risk factors in elementary school–aged children. The CATCH intervention targeted increasing levels of physical activity; consuming foods that are low in fat, saturated fat, and sodium; and avoiding smoking initiation via a multicomponent program that included school environmental changes, a 3-year sequential classroom curriculum, and in some intervention schools, a family component. The details of the CATCH intervention are described elsewhere.18 Previously reported results19 indicated that CATCH, after 3 school years of intervention, positively affected the school environment and students' eating and physical activity behaviors. The amount of fat and saturated fat in foods offered in the school cafeteria was decreased. The amount of time students spent in moderate to vigorous physical activity was increased during physical education classes in intervention schools compared with control schools.20,21 In addition, students exposed to the CATCH intervention reduced their intakes of fat and saturated fat, and reported being more physically active compared with students in the CATCH control schools.19,22 The additional family component increased knowledge and attitudes, but did not add additional health behavior change.19

This article reports the 3-year persistence of intervention effects in dietary and physical activity behaviors among a geographically and ethnically diverse cohort of students at grade 8 who were participants in the elementary school CATCH intervention. No organized intervention was applied to the CATCH cohort beyond grade 5. The results of the study suggest important national implications for school health promotion interventions.

DESIGN

The CATCH project's phase I was a feasibility study of 2 schools in each of 4 sites. The CATCH phase II was a 4-center field trial that evaluated the effectiveness of a feasible, elementary school–based cardiovascular health promotion program in 56 intervention schools and 40 control schools during grades 3 through 5. The CATCH phase III (tracking study) was a longitudinal study in which a 3-year follow-up of the CATCH II cohort of students was conducted. The study design23 and results of CATCH II are described in detail elsewhere.19,21,22,24,25 Briefly, significant intervention effects were observed in CATCH II for students' levels of vigorous physical activity and daily intakes of energy from total fat and saturated fat as well as dietary knowledge and intention scores.

The CATCH III was designed to measure eating and activity attitudes and behaviors as well as cardiovascular disease risk factors in the original CATCH II cohort of students during grades 6 through 8 to assess maintenance of intervention effects achieved at the end of CATCH II (grade 5). End point comparisons were made between students from the 56 CATCH II intervention schools and the 40 CATCH II control schools to determine whether changes observed at the end of the intervention (grade 5) were maintained through grade 8. The intention-to-treat principle was adhered to throughout the study, with students retaining their original school assignment from baseline (grade 3) for all CATCH III analyses. This means that on follow-up, all students possible were measured according to their original study assignment (treatment or control) whether or not they remained in their original school during the study and follow-up period. Primary end points of interest for CATCH III included daily intakes of dietary fat and saturated fat, levels of moderate to vigorous physical activity, and psychosocial factors. In addition, levels of physiological risk factors, including total serum cholesterol, high-density lipoprotein (HDL) cholesterol, and apolipoprotein B levels; body mass index (BMI); skinfold thickness; and blood pressure as well as (self-reported) smoking behavior were examined.

Psychosocial measures and physical activity behavior were assessed at 3 follow-up points: at grades 6, 7, and 8. A measure of food choices, the CATCH Food Checklist (FC), was administered at grades 7 and 8. Physiological measurements, including serum lipid levels, height, weight, skinfold thickness, blood pressure, and self-reported dietary nutrient intakes, were taken at baseline (grade 3), at the end of the intervention (grade 5), and once at follow-up (grade 8). Tracking efforts were designed to contact and measure cohort students within a 100-mile radius of the original CATCH II school districts. Because all students had left the original CATCH II schools, data collectors could be blinded to participants' treatment status for all measures in grades 6 through 8.

STUDY PARTICIPANTS

The CATCH III study involved the grade 3 cohort of students (n=5106) recruited from the 96 CATCH II public elementary schools with parental consent to participate and a blood sample result at baseline.19,26 The ethnic composition of the baseline cohort of students was 69% white, 14% Hispanic, 13% African American, and 4% other. The study was conducted at the original 4 field centers, located at the University of California at San Diego; University of Minnesota, Minneapolis; University of Texas–Houston Schoolof Public Health, Austin; and Tulane University School of Public Health and Tropical Medicine, New Orleans, La.

At grade 8, 3714 students (73% of the baseline cohort) had parental consent to participate in CATCH measurements. An additional 34 students (1%) had parental consent for all measures except venipuncture, while 286 parents (6%) refused their child's participation. The remaining 1072 students (21%) did not respond, were living beyond a 100-mile radius of a study center, or were lost to follow-up.

MEASURES

All methods, training techniques, and quality controls developed and implemented as part of CATCH II and used during CATCH III have been described in the literature.22,24,27,28 These measurements, as well as newly developed measures for CATCH III, are briefly described below.

24-HOUR DIETARY RECALL

During the spring of grade 8, a single 24-hour dietary recall interview was administered to a random subsample (n=1533) of the cohort who had also completed a dietary recall interview in either grade 3 or grade 5. The dietary recall interview measured each student's total daily nutrient intake, including energy from total fat and saturated fat. The face-to-face interviews were conducted using the multiple pass approach according to the standard CATCH protocol.29 Dietary recall results were entered directly into laptop computers using the Minnesota Nutrition Data System software (Food Database version 12A, Nutrient Database 27; Nutrition Coordinating Center, University of Minnesota, Minneapolis). Based on CATCH quality assurance procedures, results from 49 dietary recall interviews were omitted from the analysis. The final sample size for analysis was 1468 students.

FOOD CHECKLIST

The Food Checklist (FC) was developed during CATCH III to assess whether selected foods high in total fat, saturated fat, or sodium had been consumed within the past 24 hours. The list of high-fat and high-sodium food items was developed from published and nutritionist-accepted standard food tables and an analysis of commonly eaten foods reported on a random sample of CATCH II dietary recall interviews completed during grade 5.30 A system for scoring the FC was developed in which higher scores reflect higher intakes of total fat, saturated fat, and sodium. The FC was administered during grades 7 and 8 to all cohort students. Test-retest reliability (r, 0.83-0.89) and validity for 24-hour dietary recall data, based on a sample of grade 7 students who completed the FC and a single dietary recall interview, were adequate.31 Food checklist data were significantly correlated with 24-hour recall data (percentage of total fat: r=0.36; percentage of saturated fat: r=0.36; sodium per 4200 kJ [1000 kcal]: r=0.34).

SELF-ADMINISTERED PHYSICAL ACTIVITY CHECKLIST

The Self-Administered Physical Activity Checklist (SAPAC), developed, tested, and administered during CATCH II, was administered to all cohort members during grades 6, 7, and 8 to assess the type, duration, and intensity of physical activity performed by the student during the previous day. The SAPAC was a group-administered 1-day recall of 22 common physical activities. The instrument also asked whether and for how long the child watched television or played video games. During CATCH II, the SAPAC was validated against heart rate monitors (r=0.57) and Caltrac accelerometers (Hemokinetics Inc, Madison, Wis) (r=0.30) in grade 5 children.32

HEALTH BEHAVIOR SURVEY

The Health Behavior Survey (HBS) was a 45-minute group-administered instrument designed to measure the psychosocial variables thought to influence the dietary, physical activity, and smoking behaviors targeted by the CATCH II interventions. These factors included knowledge of foods low in fat and sodium, intentions for heart-healthy food selections, perceived reinforcement and social support for physical activity, and smoking behavior and acquisition, with reference to the transtheoretical model of change theory.33 No physiological measure of smoking was taken. During CATCH II, the HBS measured the impact of the intervention on student learning outcomes in diet knowledge, but not on physical activity knowledge or smoking knowledge. In CATCH III, the HBS was used to examine postintervention differences in psychosocial variables between students who had been exposed to the different school conditions during each spring of grades 6, 7, and 8. Reliability of the instrument assessed during the pilot phase of CATCH II was found to be adequate (for diet knowledge, α=.75; for diet intentions, α=.78).34 The CATCH III HBS was revised for age appropriateness during grade 6.

PHYSIOLOGICAL VARIABLES

A full risk-factor screening profile, including blood samples for total cholesterol, HDL cholesterol, and apolipoprotein B levels, and measurements of height, weight, skinfold thickness, and blood pressure, was conducted once during the spring of grade 8 (1997).

Nonfasting blood samples were obtained via venipuncture, and serum was analyzed for total cholesterol, HDL cholesterol, and apolipoprotein B levels in the same central laboratory (Miriam Hospital, Providence, RI) used for the CATCH II baseline and follow-up determinations. The laboratory participates in the Centers for Disease Control and Prevention Lipid Standardization Program. Reliability was assessed by taking blind duplicate blood samples from a 10% random sample of subjects. Intraclass correlation coefficients for serum total cholesterol, HDL cholesterol, and apolipoprotein B levels were high: 0.996, 0.977, and 0.993, respectively.

Five recordings (1 minute apart) of systolic and diastolic blood pressure and heart rate were obtained for each subject after a 5-minute rest period using the Dinamap automatic blood pressure device (model 8100XT; Critikon Inc, Tampa, Fla). Cuff size selection was based on arm length and circumference measurements.35 The average of the last 3 readings was used for analysis. The Dinamap device was calibrated against a mercury manometer at the start of each day of blood pressure measurement.

Three consecutive replicate measurements of triceps and subscapular skinfolds were conducted using Lange calipers. The average of the 3 measurements was used for analysis. Height was measured using a portable stadiometer, and weight was measured using the SECA electronic portable scale (SECA Ltd, Birmingham, England). Height was measured to the nearest 0.1 cm, weight to the nearest 0.1 kg, and skinfolds to the nearest millimeter. Body mass index was calculated as the weight in kilograms divided by the square of the height in meters.2 Interrater reliability was assessed by repeating a set of anthropometric measurements on 2 randomly selected children on each day of measurement. Intraclass correlation coefficients were 0.998 for height and weight scales. The intraclass correlation coefficients were similarly high for triceps and subscapular skinfolds, 0.981 and 0.983, respectively.

STATISTICAL METHODS

Multivariate repeated-measures analysis was used for virtually all of the outcome variables (the exceptions are explained below).3638 For dietary recall and physiological risk factors, each participant's observation vector included up to 3 measurements (grades 3, 5, and 8); for self-reported physical activity, up to 4 measurements (grades 5, 6, 7, and 8); and for health behavior surveys, up to 7 measurements (semesters 1, 2, 4, 6, 8, 10, and 12). Cases with 1 or more observations missing were included as well as complete cases, on the assumption that missing observations were random. Some anomalous data and some plausible but extreme values were deleted to avoid undue influence, as follows: height decreasing more than 1 cm between grades (8 cases); BMI greater than 50 kg/m2 (1 case); serum cholesterol level greater than 10.35 mmol/L (400 mg/dL) (3 cases); 1 day's energy intake greater than 50,200 kJ (12,000 kcal) (1 case); and 1 day's physical activity greater than 10.5 hours (99 cases).

The repeated-measures model included individual-level covariates (sex, race, sex×race interaction, and in some cases, age, height, BMI, or total energy intake) as well as fixed effects for CATCH design features (site, intervention group, time, and group×time interaction). Random effect was included for the student's CATCH school of origin (the randomized unit) and for students within the school. Inclusion of student random effect was equivalent to assuming compound-symmetric covariance for the observation vector, ie, uniform pairwise correlation between time points within student.

The group×time interaction term was used to test whether the time course of the end point mean was parallel in intervention-school and control-school students. A nonparallel course represented a significant impact of the CATCH intervention (except in the case of physical activity, which did not include baseline measurements).

Scalar contrasts were constructed from the fitted model to estimate the mean outcome at each time point in intervention-school and control-school participants and the difference between them, adjusted for all other factors in the model. The contrast at grade 8 was used to test the particular hypothesis of CATCH III: that a difference still existed 3 years after the end of intervention.

Smoking, a dichotomous variable, was analyzed by a repeated-measures logistic regression model similar to the linear model, omitting only the student random effect for computational stability.

To control type I error in the presence of multiple outcome measures and time points, we limited formal inference to a single test (with a critical value of P=.05) of the primary CATCH hypothesis for each end point: group×time interaction for end points measured at baseline (dietary recall, risk factors, health behavior) and group main effect for end points measured only at follow-up (physical activity, FC). The expected number of type I errors was therefore 1.05 (0.05×21) for the variables reported in Table 2, Table 3, Table 4, and Table 5.

Table Graphic Jump LocationTable 2. Dietary Intake (24-Hour Recall), Child and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*
Table Graphic Jump LocationTable 3. Self-reported Physical Activity, Children and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*
Table Graphic Jump LocationTable 4. Physiological Measures, Child and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*
Table Graphic Jump LocationTable 5. Health Behavior Survey, Child and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*

Multiple logistic regression analysis was conducted to determine whether the likelihood of grade 8 participation, given baseline participation, differed by site, sex, race, intervention group, or baseline end point variables. The participants' and nonparticipants' baseline levels of CATCH III end points were compared using a mixed model, controlling for site, sex, race, sex×race interaction, intervention group, and the same additional individual-level covariates used in repeated-measures analysis.

PARTICIPATION

Approximately 70% of the CATCH II baseline cohort participated in CATCH risk factor or questionnaire measurements during grade 8. The participation rate did not differ significantly between the CATCH II intervention and control school conditions (Table 1). There were minor but statistically significant differences in participation rates according to sex, race, and site on selected measures ( Table 1). Participation in the dietary recall interview was slightly lower for boys than for girls, and participation in risk factor screening and HBS was higher for white students than for others. For all measures, higher participation was recorded in Louisiana and Minnesota than in California and Texas. These demographic effects were comparable for control and intervention schools (P≥.12). Nonparticipants were slightly older at baseline screening (age 8.81 vs 8.74 years, P<.001) and had greater mean age-adjusted body mass index (17.81 vs 17.52 kg/m2, P = .002) and skinfold thickness (12.6 vs 12.3 mm for triceps, P=.03; 8.7 vs 8.1 mm for subscapular, P=.007), but these differences applied equally to control and intervention schools (P≥.28 for interactions). No significant difference in participation was found with respect to age-adjusted baseline levels of serum cholesterol and blood pressure, dietary intake, HBS responses, or self-reported physical activity (with grade 5 as baseline). These results suggest that valid inferences can be made with regard to the effects of the CATCH II interventions at grade 8.

Table Graphic Jump LocationTable 1. Participation Rates, Child and Adolescent Trial for Cardiovascular Health, Phase III, 1991 Through 1997
DIET

Table 2 shows the results from the 24-hour dietary recall interviews. Target nutrients for CATCH included percentage of energy from total fat and saturated fat, intake of sodium in milligrams, sodium per 4200 kJ (1000 kcal), and dietary cholesterol. At the end of the trial, students in the intervention schools had a significant reduction in energy intake relative to students in the control schools, although intake still met the recommended dietary allowances.39 By the end of grade 8, the difference in change in energy intake by treatment group was not statistically significant.

At the end of grade 5, a significant reduction in energy from total and saturated fat was seen in the intervention students compared with the control students. At the end of grade 5, students in the intervention schools had nearly reached the national and study goals of 30% of energy from total fat (Figure 1). A difference of 1.8% in energy from total fat was noted between experimental and control students at the immediate postintervention measurement in grade 5. This difference declined to 1.0% by grade 8 but remained statistically significant. At the end of grade 8, statistically significant differences in energy from total fat by treatment group persisted. Students exposed to the CATCH intervention had a mean intake of 30.6% of energy from fat, and students in the control group averaged 31.6% of energy from fat. Energy from saturated fat approached but did not reach the national and study goals of 10% of energy. The significant differences in energy intake from saturated fat by treatment group were also maintained from grade 5 through grade 8, with the mean energy intake from saturated fat in the grade 8 in intervention and control students being 11.3% and 11.8%, respectively. Carbohydrate consumption also remained significantly higher among the intervention group (56.6% vs 55.4% of energy, P=.02). The differences noted in diet are both statistically and clinically significant; a reduction in fat and saturated fat consumption of the magnitude seen in the intervention group, along with the increase in carbohydrate consumption, would translate to an improved dietary intake in an individual student—a reduction of a dish of ice cream once a day, or switching from regular milk to skim milk.

Place holder to copy figure label and caption
Figure 1.

Comparison of dietary fat (% of energy) between intervention and control students, Child and Adolescent Trial for Cardiovascular Health (CATCH) cohort, grades 3 through 8.

Graphic Jump Location

The FC, including 40 foods or food groups accounting for substantial amounts of daily fat and sodium intake, was administered on a group basis in grades 7 and 8. The students from intervention schools scored significantly lower than those from control schools, indicating healthier diets, on total fat (P=.003), saturated fat (P=.02), and sodium (P=.006) intake, and the differences remained constant between grades 7 and 8 for all 3 nutrients (P≥.41) (Figure 2).

Place holder to copy figure label and caption
Figure 2.

Food Checklist scores for dietary fat, saturated fat, and sodium at grades 7 and 8, Child and Adolescent Trial for Cardiovascular Health II cohort.

Graphic Jump Location
PHYSICAL ACTIVITY

Table 3 and Figure 3 display differences between intervention and control students in minutes of self-reported daily vigorous activity, characterized by hard breathing most of the time while exercising. Experimental students reported more minutes than did control students, but the differences narrowed over time. The intervention effect was maintained at grade 8, with experimental students reporting a mean of 30.2 minutes of daily vigorous activity compared with control students' 22.1 minutes. Total activity minutes demonstrated an overall decrease from grades 5 to 8, with intervention students reporting more total activity in grades 5 and 6 than control students (P=.02 and P=.04, respectively). No differences between intervention and control students for total activity were present in grades 7 and 8.

Place holder to copy figure label and caption
Figure 3.

Daily minutes of vigorous physical activity, Child and Adolescent Trial for Cardiovascular Health (CATCH) cohort, grades 5 through 8.

Graphic Jump Location
PHYSIOLOGICAL RISK FACTORS

Table 4 presents physiological measures at grades 3, 5, and 8. No changes attributable to the CATCH intervention were demonstrated. The slight but nonsignificant decrease in serum cholesterol level noted in the intervention group at grade 5 was not maintained in grade 6.

HEALTH BEHAVIOR SURVEY

Table 5 displays the results of the HBS for dietary knowledge and intention. Scores for healthy food choices (food intentions) and knowledge (food knowledge) were significantly higher among intervention group students compared with control group students. During grades 6 and 7, average scores progressively declined for both measures and in both conditions. However, scores remained significantly higher for intervention group children than for control group children in grades 6 and 7. Positive social support for physical activity did not differ significantly between the treatment groups in grade 8. As with food intentions and food knowledge, mean scores for positive support for physical activity decreased during grades 6 and 7 (data not shown).

SMOKING

Current smoking was assessed by agreement with the item, "I have started to smoke a little," in grade 5, and then, "I have smoked on 2 or more of the last 30 days," in grades 6 through 8. Overall smoking prevalences for the control and intervention conditions, respectively, were 6.3% and 6.2% in grade 5, 5.9% and 4.5% in grade 6, 10.2% and 11.2% in grade 7, and 15.6% and 16.2% in grade 8. None of these differences reached statistical significance.

The CATCH project is the largest school-based randomized trial ever conducted. It was conducted in 4 geographically different sites, involved multiethnic and multiracial groups, and included longer follow-up (3 years) than similar school interventions. Since no additional intervention occurred after grade 5, the study results suggest that the behavior changes resulting from a multicomponent intervention, including classroom curricula, food service modifications, physical education changes, and family reinforcement, were sufficient to produce an intervention effect that could still be detected after 3 years. The program has been carefully evaluated and found to be feasible to implement.25 These findings combine to suggest that CATCH or similar multicomponent approaches may qualify as suitable models for school-based primary prevention programs.

It has been assumed that reduction of adult cardiovascular risk of morbidity and mortality will occur only if behavioral change continues through adolescence and adulthood. Much of the evidence for intermediate and long-term effectiveness of behavioral intervention programs has targeted single risk factors, such as obesity and smoking prevention. Some long-term positive effects were seen with the Know Your Body program,40,41 a school- and family-based cardiovascular risk reduction program; the San Diego Family Health Project,42 a family-based intensive diet and activity intervention; and the Class of 1989 Study,43 a school- and community-based cardiovascular health promotion study. In addition, the Life Skills Training Program44 showed long-term effects on smoking behavior, alcohol use, and marijuana use after it was initiated in grade 7. However, all of these studies occurred in single sites and did not involve school environmental changes as intervention elements.

The differences between experimental and control students noted in this follow-up, while statistically significant, are narrowing in magnitude over time. If the trends continue, soon no differences will be detectable. This calls for additional research to investigate the best modalities for maintaining intervention effects beyond the elementary school level, especially as youth continue through adolescence. It also suggests that programs to alter the environments of middle, junior, and senior high schools are warranted.

In CATCH, although detectable behavioral differences persisted for 3 years after the intervention, there were no differences in physiological measures such as body mass index or serum cholesterol level either in the elementary school intervention or in the present follow-up.19,24 In fact, most population-based education studies that have reported on intervention effects on physiological variables have shown modest change or no change.40,4547 It may be unrealistic to expect dramatic physiological changes in a young population, given the level of intensity of a primary prevention program and the relatively healthy general population at which it is targeted.

A potential limitation of this study is the reliance on self-reported data. To overcome this, validation studies were conducted on the major behavioral measures, eg, the SAPAC and the 24-hour dietary recall interview.29,32 These proved to be valid and reliable measures. In the field, several procedures were employed to reduce bias,48 including national and local training with standardized measurement protocols, on-site quality-control observations, and an adequate ratio of field staff per student. The 24-hour recall interview included probes to complement standardized questions on the HBS. Furthermore, it is difficult to provide socially desirable or "correct" answers on a 24-hour dietary recall interview. Previous analyses of the HBS correlating student responses on knowledge and attitudes have suggested that response bias was not responsible for the positive results seen in grades 5 and 8.28 Furthermore, not all results obtained were in the positive or desired direction (eg, smoking, or social support for physical activity). In future studies, use of direct observation methods (diet) or motion sensors (activity) on randomly selected subsamples might add to the validity of self-reported data.

These results, if valid, have important implications for public health policy. Schools could be an important setting for programs to influence the development of healthful behaviors at an early age. In addition to interventions that provide education for children, the study suggests that for behavior change to occur and persist, interventions must create and maintain school environments that support healthful behavior. To sustain the benefits of elementary school programs, health promotion should probably continue through junior and senior high school. Additional research is required to assess the valid impact of such programs as well as how programs can be more widely implemented.

Accepted for publication November 12, 1998.

This study was supported by grants HL39927, HL39852, HL39870, HL33906, and HL39880 from the National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md.

Corresponding author: Philip R. Nader, MD, Division of Community Pediatrics, 9500 Gilman Dr, Department 0927, La Jolla, CA 92037-0927 (e-mail: pnader@ucsd.edu).

Editor's Note: I'm almost as impressed with the 73% follow-up population as I am with the findings. CATCH-ing them early seems to stick.—Catherine D. DeAngelis, MD

National Heart, Lung, and Blood Institute, Report of the Task Force on Research in Epidemiology and Prevention of Cardiovascular Diseases.  Washington, DC National Heart, Lung, and Blood Institute, National Institutes of Health, Dept of Health and Human Services1994;
Kelder  SHPerry  CLKlepp  K-ILytle  LA Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health. 1994;841121- 1126
Kannel  WBDawber  TR Atherosclerosis as a pediatric problem. J Pediatr. 1972;80544- 554
Lenfant  C Improving the health of America's youth: the NHLBI perspective. J Health Educ. 1995;266- 8
Troiano  RPFlegal  KM Overweight children and adolescents: description, epidemiology, and demographics. Pediatrics. 1998;101497- 504
Stone  EJMcKenzie  TLWelk  GJBooth  ML Effects of physical activity interventions in youth: review and synthesis. Am J Prev Med. 1998;15298- 315
Van Horn  LKavey  R Diet and cardiovascular disease prevention: what works? Ann Behav Med. 1997;19197- 212
Enos  WFBeyer  JCHolmes  RH Pathogenesis of coronary disease in American soldiers killed in Korea. JAMA. 1955;158912- 914
McNamara  JJMolot  MAStremple  JFCutting  RT Coronary artery disease in combat casualties in Vietnam. JAMA. 1971;2161185- 1187
Kemper  HCSnel  JVerschuur  RStorm-van Essen  L Tracking of health and risk indicators of cardiovascular diseases from teenager to adult: Amsterdam Growth and Health Study. Prev Med. 1990;19642- 655
Webber  LSSrinivasan  SRWattigney  WABerenson  GS Tracking of serum lipids and lipoproteins from childhood to adulthood: the Bogalusa Heart Study. Am J Epidemiol. 1991;133884- 899
Newman  WP  IIIFreedman  DSVoors  AW  et al.  Relation of serum lipoprotein levels and systolic blood pressure to early atherosclerosis: the Bogalusa Heart Study. N Engl J Med. 1986;314138- 144
Stone  EJPerry  CLLuepker  RV Synthesis of cardiovascular behavior research for youth health promotion. Health Educ Q. 1989;16155- 169
Centers for Disease Control and Prevention, Guidelines for school health programs to promote lifelong healthy eating. MMWR Morb Mortal Wkly Rep. 1996;45(RR-9)1- 42
Centers for Disease Control and Prevention, Guidelines for school and community programs to promote lifelong physical activity among young people. MMWR Morb Mortal Wkly Rep. 1997;46(RR-6)1- 42
Perry  CLKlepp  K-IShultz  JM Primary prevention of cardiovascular disease: communitywide strategies for youth. J Consult Clin Psychol. 1988;56358- 364
Perry  CLParcel  GSStone  E  et al.  The Child and Adolescent Trial for Cardiovascular Health (CATCH): overview of the intervention program and evaluation methods. Cardiovasc Risk Factors. 1992;236- 44
Perry  CLStone  EJParcel  GS  et al.  School-based cardiovascular health promotion: the Child and Adolescent Trial for Cardiovascular Health (CATCH). J Sch Health. 1990;60406- 413
Luepker  RVPerry  CLMcKinlay  SM  et al.  Outcomes of a field trial to improve children's dietary patterns and physical activity: the Child and Adolescent Trial for Cardiovascular Health (CATCH). JAMA. 1996;275768- 776
Osganian  SKEbzery  MKMontgomery  DH  et al.  Changes in nutrient content of school lunches: results from the CATCH Eat Smart Food Service intervention. Prev Med. 1996;25400- 412
McKenzie  TNader  PStrikmiller  PK  et al.  School physical education: effects of the Child and Adolescent Trial for Cardiovascular Health. Prev Med. 1996;25423- 431
Lytle  LAStone  EJNichaman  MZ  et al.  Changes in nutrient intakes of elementary school children following a school-based intervention: results from the CATCH study. Prev Med. 1996;25465- 477
Zucker  DMLakatos  EWebber  LS  et al.  Statistical design of the Child and Adolescent Trial for Cardiovascular Health (CATCH): implications of cluster randomization. Control Clin Trials. 1995;1696- 118
Webber  LSOsganian  SKFeldman  HA  et al.  Cardiovascular risk factors among children after a 212-year intervention—the CATCH study. Prev Med. 1996;25432- 441
Perry  CLSellers  DEJohnson  C  et al.  The Child and Adolescent Trial for Cardiovascular Health (CATCH): intervention, implementation, and feasibility for elementary schools in the United States. Health Educ Behav. 1997;24716- 735
Webber  LSOsganian  VLuepker  RV  et al.  Cardiovascular risk factors among third grade children in four regions of the United States: the CATCH study. Am J Epidemiol. 1995;141428- 439
Stone  EJOsganian  SKMcKinlay  SM  et al.  Operational design and quality control in the CATCH multicenter trial. Prev Med. 1996;25384- 399
Edmundson  EParcel  GSFeldman  HA  et al.  The effect of the Child and Adolescent Trial for Cardiovascular Health upon psychosocial determinants of diet and physical activity behavior. Prev Med. 1996;25442- 454
Lytle  LANichaman  MZObarzanek  E  et al.  Validation of 24-hour recalls assisted by food records in third-grade children. J Am Diet Assoc. 1993;931431- 1436
Dwyer  JTMontgomery  DHEbzery  MK  et al.  Development of a food checklist for fat, saturated fat, and sodium intakes in seventh- and eighth-grade students.  Final Program and Abstracts of the 124th Annual Meeting and Exposition of the American Public Health Association November 17-21, 1996 New York, NY
Smith  KWDwyer  JTLytle  LA  et al.  Calibration and reliability of a food checklist for the CATCH cohort.  Final Program and Abstracts of the 124th Annual Meeting and Exposition of the American Public Health Association November 17-21, 1996
Sallis  JFStrikmiller  PKHarsha  DW  et al.  Validation of interviewer- and self-administered physical activity checklists for fifth grade students. Med Sci Sports Exerc. 1996;28840- 851
Prochaska  JODiClemente  CC The Transtheoretical Approach: Crossing Traditional Boundaries of Change.  Homewood, Ill Dorsey Press1984;
Voors  AW Cuff bladder size in a blood pressure survey of children. Am J Epidemiol. 1975;101489- 494
Edmundson  EParcel  GSPerry  CL  et al.  The effects of the the Child and Adolescent Trial for Cardiovascular Health intervention on psychosocial determinants of CVD risk behavior among third grade students. Am J Health Promotion. 1996;10217- 225
Koepsell  TDMartin  DCDiehr  PH  et al.  Data analysis and sample size issues in evaluations of community-based health promotion and disease prevention programs: a mixed-model analysis of variance approach. J Clin Epidemiol. 1991;44701- 713
Not Available, SAS Technical Report P-229. SAS/STAT Software Changes and Enhancements Release 6.07 Cary, NC SAS Institute Inc1992;289- 368
Murray  DMWolfinger  RD Analysis issues in the evaluation of community trials: progress toward solution in SAS/STAT MIXED. J Community Psychol. 1994a; (special issue) 140- 154
Subcommittee on the Tenth Edition of the Recommended Dietary Allowances, National Research Council, Recommended Dietary Allowances. 10th ed. Washington, DC National Academy Press1989;
Walter  HJHofman  AVaughan  RDWynder  EL Modification of risk factors for coronary heart disease: five year results of a school-based intervention trial. N Engl J Med. 1988;3181093- 1100
Bush  PJZuckerman  AETaggart  VSTheiss  PKPeleg  EOSmith  SA Cardiovascular risk factor prevention in black school children: the "Know Your Body" evaluation project. Health Educ Q. 1989;16215- 227
Nader  PRSallis  JFAbramson  IS  et al.  Family-based cardiovascular risk reduction education among Mexican- and Anglo-Americans. Fam Community Health. 1992;1557- 74
Perry  CLKelder  SHKlepp  KI Communitywide cardiovascular disease prevention with young people: long-term outcomes of the Class of 1989 Study. Eur J Public Health. 1994;4188- 194
Botvin  GJBaker  EDusenbury  LBotvin  EMDiaz  T Long-term follow-up results of a randomized drug abuse prevention trial in a white middle-class population. JAMA. 1995;2731106- 1112
Walter  HJHofman  AConnelly  PABarrett  LTKost  KL Primary prevention of chronic disease in childhood: changes in risk factors after one year of intervention. Am J Epidemiol. 1985;122772- 781
Arbeit  MLJohnson  CCMott  DS  et al.  The Heart Smart cardiovascular school health promotion: behavior correlates of risk factor changes. Prev Med. 1992;2118- 32
The Writing Group for the DISC Collaborative Research Group, Efficacy and safety of lowering dietary intake of fat and cholesterol in children with elevated low-density lipoprotein cholesterol: the Dietary Intervention Study in Children (DISC). JAMA. 1995;2731429- 1435
Stone  EJMcGraw  SAOsganian  SKElder  JP Process evaluation in the multicenter Child and Adolescent Trial for Cardiovascular Health (CATCH). Health Educ Q. 1994;suppl 2S1- S144

Figures

Place holder to copy figure label and caption
Figure 1.

Comparison of dietary fat (% of energy) between intervention and control students, Child and Adolescent Trial for Cardiovascular Health (CATCH) cohort, grades 3 through 8.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 2.

Food Checklist scores for dietary fat, saturated fat, and sodium at grades 7 and 8, Child and Adolescent Trial for Cardiovascular Health II cohort.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 3.

Daily minutes of vigorous physical activity, Child and Adolescent Trial for Cardiovascular Health (CATCH) cohort, grades 5 through 8.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 2. Dietary Intake (24-Hour Recall), Child and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*
Table Graphic Jump LocationTable 3. Self-reported Physical Activity, Children and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*
Table Graphic Jump LocationTable 4. Physiological Measures, Child and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*
Table Graphic Jump LocationTable 5. Health Behavior Survey, Child and Adolescent Trial for Cardiovascular Health, Phases II and III, 1991 Through 1997*
Table Graphic Jump LocationTable 1. Participation Rates, Child and Adolescent Trial for Cardiovascular Health, Phase III, 1991 Through 1997

References

National Heart, Lung, and Blood Institute, Report of the Task Force on Research in Epidemiology and Prevention of Cardiovascular Diseases.  Washington, DC National Heart, Lung, and Blood Institute, National Institutes of Health, Dept of Health and Human Services1994;
Kelder  SHPerry  CLKlepp  K-ILytle  LA Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health. 1994;841121- 1126
Kannel  WBDawber  TR Atherosclerosis as a pediatric problem. J Pediatr. 1972;80544- 554
Lenfant  C Improving the health of America's youth: the NHLBI perspective. J Health Educ. 1995;266- 8
Troiano  RPFlegal  KM Overweight children and adolescents: description, epidemiology, and demographics. Pediatrics. 1998;101497- 504
Stone  EJMcKenzie  TLWelk  GJBooth  ML Effects of physical activity interventions in youth: review and synthesis. Am J Prev Med. 1998;15298- 315
Van Horn  LKavey  R Diet and cardiovascular disease prevention: what works? Ann Behav Med. 1997;19197- 212
Enos  WFBeyer  JCHolmes  RH Pathogenesis of coronary disease in American soldiers killed in Korea. JAMA. 1955;158912- 914
McNamara  JJMolot  MAStremple  JFCutting  RT Coronary artery disease in combat casualties in Vietnam. JAMA. 1971;2161185- 1187
Kemper  HCSnel  JVerschuur  RStorm-van Essen  L Tracking of health and risk indicators of cardiovascular diseases from teenager to adult: Amsterdam Growth and Health Study. Prev Med. 1990;19642- 655
Webber  LSSrinivasan  SRWattigney  WABerenson  GS Tracking of serum lipids and lipoproteins from childhood to adulthood: the Bogalusa Heart Study. Am J Epidemiol. 1991;133884- 899
Newman  WP  IIIFreedman  DSVoors  AW  et al.  Relation of serum lipoprotein levels and systolic blood pressure to early atherosclerosis: the Bogalusa Heart Study. N Engl J Med. 1986;314138- 144
Stone  EJPerry  CLLuepker  RV Synthesis of cardiovascular behavior research for youth health promotion. Health Educ Q. 1989;16155- 169
Centers for Disease Control and Prevention, Guidelines for school health programs to promote lifelong healthy eating. MMWR Morb Mortal Wkly Rep. 1996;45(RR-9)1- 42
Centers for Disease Control and Prevention, Guidelines for school and community programs to promote lifelong physical activity among young people. MMWR Morb Mortal Wkly Rep. 1997;46(RR-6)1- 42
Perry  CLKlepp  K-IShultz  JM Primary prevention of cardiovascular disease: communitywide strategies for youth. J Consult Clin Psychol. 1988;56358- 364
Perry  CLParcel  GSStone  E  et al.  The Child and Adolescent Trial for Cardiovascular Health (CATCH): overview of the intervention program and evaluation methods. Cardiovasc Risk Factors. 1992;236- 44
Perry  CLStone  EJParcel  GS  et al.  School-based cardiovascular health promotion: the Child and Adolescent Trial for Cardiovascular Health (CATCH). J Sch Health. 1990;60406- 413
Luepker  RVPerry  CLMcKinlay  SM  et al.  Outcomes of a field trial to improve children's dietary patterns and physical activity: the Child and Adolescent Trial for Cardiovascular Health (CATCH). JAMA. 1996;275768- 776
Osganian  SKEbzery  MKMontgomery  DH  et al.  Changes in nutrient content of school lunches: results from the CATCH Eat Smart Food Service intervention. Prev Med. 1996;25400- 412
McKenzie  TNader  PStrikmiller  PK  et al.  School physical education: effects of the Child and Adolescent Trial for Cardiovascular Health. Prev Med. 1996;25423- 431
Lytle  LAStone  EJNichaman  MZ  et al.  Changes in nutrient intakes of elementary school children following a school-based intervention: results from the CATCH study. Prev Med. 1996;25465- 477
Zucker  DMLakatos  EWebber  LS  et al.  Statistical design of the Child and Adolescent Trial for Cardiovascular Health (CATCH): implications of cluster randomization. Control Clin Trials. 1995;1696- 118
Webber  LSOsganian  SKFeldman  HA  et al.  Cardiovascular risk factors among children after a 212-year intervention—the CATCH study. Prev Med. 1996;25432- 441
Perry  CLSellers  DEJohnson  C  et al.  The Child and Adolescent Trial for Cardiovascular Health (CATCH): intervention, implementation, and feasibility for elementary schools in the United States. Health Educ Behav. 1997;24716- 735
Webber  LSOsganian  VLuepker  RV  et al.  Cardiovascular risk factors among third grade children in four regions of the United States: the CATCH study. Am J Epidemiol. 1995;141428- 439
Stone  EJOsganian  SKMcKinlay  SM  et al.  Operational design and quality control in the CATCH multicenter trial. Prev Med. 1996;25384- 399
Edmundson  EParcel  GSFeldman  HA  et al.  The effect of the Child and Adolescent Trial for Cardiovascular Health upon psychosocial determinants of diet and physical activity behavior. Prev Med. 1996;25442- 454
Lytle  LANichaman  MZObarzanek  E  et al.  Validation of 24-hour recalls assisted by food records in third-grade children. J Am Diet Assoc. 1993;931431- 1436
Dwyer  JTMontgomery  DHEbzery  MK  et al.  Development of a food checklist for fat, saturated fat, and sodium intakes in seventh- and eighth-grade students.  Final Program and Abstracts of the 124th Annual Meeting and Exposition of the American Public Health Association November 17-21, 1996 New York, NY
Smith  KWDwyer  JTLytle  LA  et al.  Calibration and reliability of a food checklist for the CATCH cohort.  Final Program and Abstracts of the 124th Annual Meeting and Exposition of the American Public Health Association November 17-21, 1996
Sallis  JFStrikmiller  PKHarsha  DW  et al.  Validation of interviewer- and self-administered physical activity checklists for fifth grade students. Med Sci Sports Exerc. 1996;28840- 851
Prochaska  JODiClemente  CC The Transtheoretical Approach: Crossing Traditional Boundaries of Change.  Homewood, Ill Dorsey Press1984;
Voors  AW Cuff bladder size in a blood pressure survey of children. Am J Epidemiol. 1975;101489- 494
Edmundson  EParcel  GSPerry  CL  et al.  The effects of the the Child and Adolescent Trial for Cardiovascular Health intervention on psychosocial determinants of CVD risk behavior among third grade students. Am J Health Promotion. 1996;10217- 225
Koepsell  TDMartin  DCDiehr  PH  et al.  Data analysis and sample size issues in evaluations of community-based health promotion and disease prevention programs: a mixed-model analysis of variance approach. J Clin Epidemiol. 1991;44701- 713
Not Available, SAS Technical Report P-229. SAS/STAT Software Changes and Enhancements Release 6.07 Cary, NC SAS Institute Inc1992;289- 368
Murray  DMWolfinger  RD Analysis issues in the evaluation of community trials: progress toward solution in SAS/STAT MIXED. J Community Psychol. 1994a; (special issue) 140- 154
Subcommittee on the Tenth Edition of the Recommended Dietary Allowances, National Research Council, Recommended Dietary Allowances. 10th ed. Washington, DC National Academy Press1989;
Walter  HJHofman  AVaughan  RDWynder  EL Modification of risk factors for coronary heart disease: five year results of a school-based intervention trial. N Engl J Med. 1988;3181093- 1100
Bush  PJZuckerman  AETaggart  VSTheiss  PKPeleg  EOSmith  SA Cardiovascular risk factor prevention in black school children: the "Know Your Body" evaluation project. Health Educ Q. 1989;16215- 227
Nader  PRSallis  JFAbramson  IS  et al.  Family-based cardiovascular risk reduction education among Mexican- and Anglo-Americans. Fam Community Health. 1992;1557- 74
Perry  CLKelder  SHKlepp  KI Communitywide cardiovascular disease prevention with young people: long-term outcomes of the Class of 1989 Study. Eur J Public Health. 1994;4188- 194
Botvin  GJBaker  EDusenbury  LBotvin  EMDiaz  T Long-term follow-up results of a randomized drug abuse prevention trial in a white middle-class population. JAMA. 1995;2731106- 1112
Walter  HJHofman  AConnelly  PABarrett  LTKost  KL Primary prevention of chronic disease in childhood: changes in risk factors after one year of intervention. Am J Epidemiol. 1985;122772- 781
Arbeit  MLJohnson  CCMott  DS  et al.  The Heart Smart cardiovascular school health promotion: behavior correlates of risk factor changes. Prev Med. 1992;2118- 32
The Writing Group for the DISC Collaborative Research Group, Efficacy and safety of lowering dietary intake of fat and cholesterol in children with elevated low-density lipoprotein cholesterol: the Dietary Intervention Study in Children (DISC). JAMA. 1995;2731429- 1435
Stone  EJMcGraw  SAOsganian  SKElder  JP Process evaluation in the multicenter Child and Adolescent Trial for Cardiovascular Health (CATCH). Health Educ Q. 1994;suppl 2S1- S144

Correspondence

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

Multimedia

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

Related Content

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

Articles Related By Topic
Related Topics
PubMed Articles