Impact of the Bienestar School-Based Diabetes Mellitus Prevention Program on Fasting Capillary Glucose Levels: A Randomized Controlled Trial | Lifestyle Behaviors | JAMA Pediatrics | JAMA Network
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September 2004

Impact of the Bienestar School-Based Diabetes Mellitus Prevention Program on Fasting Capillary Glucose Levels: A Randomized Controlled Trial

Author Affiliations

From the Social and Health Research Center, San Antonio, Tex (Dr Treviño); the Department of Pediatrics, Medical College of Georgia, Augusta (Dr Yin); the Department of Pediatrics, Georgia Prevention Institute, Augusta (Dr Yin); the College of Education and Human Development, University of Texas at San Antonio (Dr Hernandez); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes (Dr Hale) and the Department of Community Dentistry (Dr Mobley), University of Texas Health Science Center at San Antonio; and the Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park (Ms Garcia).

Arch Pediatr Adolesc Med. 2004;158(9):911-917. doi:10.1001/archpedi.158.9.911

Objective  To evaluate the impact of a school-based diabetes mellitus prevention program on low-income fourth-grade Mexican American children.

Design  A randomized controlled trial with 13 intervention and 14 control schools.

Setting  Elementary schools in inner-city neighborhoods in San Antonio, Tex.

Participants  Eighty percent of participants were Mexican American and 94% were from economically disadvantaged households. Baseline and follow-up measures were collected from 1419 (713 intervention and 706 control) and 1221 (619 intervention and 602 control) fourth-grade children, respectively.

Intervention  The Bienestar Health Program consists of a health class and physical education curriculum, a family program, a school cafeteria program, and an after-school health club. The objectives are to decrease dietary saturated fat intake, increase dietary fiber intake, and increase physical activity.

Main Outcome Measures  The primary end point was fasting capillary glucose level, and the secondary end points were percentage of body fat, physical fitness level, dietary fiber intake, and dietary saturated fat intake. Fasting capillary glucose level, bioelectric impedance, modified Harvard step test, three 24-hour dietary recalls, weight, and height were collected at baseline and 8 months later.

Results  Children in the intervention arm attended an average of 32 Bienestar sessions. Mean fasting capillary glucose levels decreased in intervention schools and increased in control schools after adjusting for covariates (−2.24 mg/dL [0.12 mmol/L]; 95% confidence interval, −6.53 to 2.05 [–0.36 to 0.11 mmol/L]; P = .03). Fitness scores (P = .04) and dietary fiber intake (P = .009) significantly increased in intervention children and decreased in control children. Percentage of body fat (P = .56) and dietary saturated fat intake (P = .52) did not differ significantly between intervention and control children.

Conclusion  This intervention showed some positive results, but additional research is needed to examine long-term benefits, translation, and cost-effectiveness.

Mexican American adults have a greater prevalence of diagnosed (9.3%) and undiagnosed (4.5%) diabetes mellitus than African Americans (8.2% and 3.5%) and non-Hispanic whites (4.8% and 2.5%).1 Recent studies2,3 report an increasing number of Mexican American children being diagnosed as having type 2 diabetes mellitus. Common findings in studies with Mexican American children were that most were unaware of their disease, most were overweight, and all came from low-income households.

Overweight,4-7 a low level of physical activity,8-10 high saturated fat intake,11 and low dietary fiber intake12 are modifiable risk factors for type 2 diabetes mellitus. These risk factors are reported to be more common in Mexican American children than in non-Hispanic white children. Mexican American children have more centralized adiposity, a higher body mass index, and thicker skinfolds than non-Hispanic white children.13-15 Mexican American children consume more portions of dietary fat and fewer portions of fruits and vegetables than are recommended by national standards.16,17 Latino children have lower physical activity levels than other US children.18-20 Because diabetes mellitus is highly prevalent in Mexican American adults and is increasing in Mexican American youth and because diabetes mellitus risk factors are more common in Mexican American children, a prudent response is to implement and evaluate programs aimed at preventing or delaying the onset of type 2 diabetes mellitus in this high-risk group of children. This study, therefore, tested the efficacy of the Bienestar Health Program ("well-being" in Spanish). The primary end point was fasting capillary glucose (FCG) concentration, and the secondary end points were percentage of body fat, fitness levels, dietary fiber intake, and dietary saturated fat intake.


Study participants

The participating school district has 67 elementary schools. Of the 67 schools, 44 were available to participate (Figure 1). A total of 3096 fourth-grade students were enrolled in the 44 available schools. All fourth-grade children, regardless of race and ethnicity, were invited to participate. The following students were excluded from data analysis: (1) those in elementary schools with previous exposure to Bienestar (20 schools), (2) students in alternative schools (3 schools), (3) those older than 12 years (4 students), (4) students previously diagnosed as having type 1 or type 2 diabetes mellitus (1 student), and (5) students with extreme dietary values (29 students). Students with 3-day average calorie intakes of less than 800 and greater than 4800 were excluded from this analysis (baseline and follow-up).21

Bienestar Health Program elementary school flowchart based on number of students.

Bienestar Health Program elementary school flowchart based on number of students.


The Bienestar Health Program is an ongoing randomized controlled trial. The method of randomization was based on cluster (school) sampling. Faculty from the University of Texas at San Antonio were hired as independent consultants to conduct the randomization process. Using a random-number table, 27 of the 44 schools were assigned to either intervention (n = 13) or control (n = 14). After assignment, school principals were informed, and their commitment was confirmed. One principal declined the invitation, but a principal from another school selected at random agreed to participate. The principals were asked not to inform students, parents, and school staff of the intervention assignment.

After the 27 schools were identified, Bienestar staff sent parents a letter and a consent/assent form. These documents explained to parents that their children's schools could be assigned to receive either a health examination alone or a health examination and a school health program. The documents also explained to parents that students would receive $5 at baseline and $5 at follow-up for participating in the health examination. Only children who returned written informed consent forms signed by their parent or guardian and who assented to the study participated in program evaluation, and all children participated in program implementation. All program implementation and data collection were conducted on the school campuses. Consent forms were provided in English and Spanish and were written at a fourth-grade level. The institutional review board of the University of Texas Health Science Center at San Antonio approved the study protocol.

Program description

To develop a model for effective behavior modification, a theoretical framework capable of effecting substantial change in children's thoughts, affect, and social environment was necessary. Social cognitive theory22 and social ecological theory23 were selected to provide the theoretical framework for the Bienestar Health Program. According to social cognitive theory, personal factors (health knowledge and beliefs), social systems (family, peers, and teachers), and behaviors (dietary saturated fat intake, dietary fiber intake, and physical activity) must be impacted to affect health outcomes. According to social ecological theory, changing the physical context (classroom, playground, school cafeteria, and home) is important too. Another framework used to develop this program was cultural appropriateness.24-26 The cultural relevance of the Bienestar Health Program was ensured through the use of bilingual culturally and contextually relevant themes.

The objective of the Bienestar Health Program is to provide children with 50 sessions of health programming distributed throughout 7 months (October 1, 2001, to April 26, 2002). The health sessions were used to transmit to children 3 health behavior messages shown to be associated with diabetes mellitus control (decrease dietary saturated fat intake, increase dietary fiber intake, and increase physical activity in children). These behaviors were taught and reinforced through classroom, home, school cafeteria, and after-school care educational activities (Table 1). Physical education teachers, parents, school cafeteria staff, and after-school caretakers were asked to encourage less dietary saturated fat intake, more dietary fiber intake, and more physical activity; to have less dietary saturated fat, more dietary fiber, and more physical activity available; and to be role models for the children. Children were asked to set goals aimed at accomplishing the targeted behaviors and to keep records of their accomplishments. Children were also asked to encourage their peers and adult caretakers to practice the 3 health behaviors. The 4 components of the Bienestar Health Program cohesively addressed the individual, relevant social groups, culture, and a health promotion environment that supports behaviors consistent with diabetes mellitus prevention.

Table 1. 
Descriptions and Schedules of the Bienestar Health Program
Descriptions and Schedules of the Bienestar Health Program

Parents and students who practiced the targeted behaviors were rewarded with "Bienestar coupons" denominated in dollar amounts as an incentive. At the end of a semester, a "tiendita" or little store was held at each school. Participants could purchase merchandise (donated clothes, household appliances, school supplies, toys, sporting goods, and gift certificates) with their Bienestar coupons.

Outcome measures

The primary end point was FCG concentration, and the secondary end points were percentage of body fat, physical fitness level, and dietary fiber and dietary saturated fat intake. Outcome measures were collected at the beginning and end of the school year (September 4, 2001, and April 29, 2002). Temporary staff, separate from programs and masked to the intervention, were hired and trained to collect the data. Students were asked to fast overnight so that school district nurses and Bienestar medical assistants could collect FCG samples in the morning. Levels of FCG were measured by collecting a blood drop from a student's fingerstick. The blood drop was placed on a reagent strip and inserted into a blood glucose monitoring system (Glucometer Elite XL; Bayer Corp, Mishawaka, Ind). Students with an FCG level less than 110 mg/dL (<6.1 mmol/L) were given a written notice explaining to the parents that the student's diabetes mellitus test result was normal. Students with an FCG level of 110 mg/dL or greater (≥6.1 mmol/L) (positive screening results)27 were referred to a physician for further testing. This study was conducted before the new American Diabetes Association guidelines28 for diagnosing diabetes mellitus were published.

Dietary fiber intake and percentage of energy intake from saturated fat were assessed using a 24-hour dietary recall protocol. Studies29,30 have found dietary recalls to be reliable and valid in children in this age group. Three 24-hour dietary recalls, including 2 weekdays and a Sunday or holiday, were collected and recorded by trained staff. Because most children in this study participated in the federal school lunch program, 2 of 3 meals a day are provided by school cafeterias during weekdays, and all meals are provided by parents during weekends.

Bienestar staff training focused on interviewing and measuring techniques. The interviewing technique consisted of a script for dialogue, prompting methods, and recording methods. The measuring technique consisted of food models and measuring utensils used to increase portion size accuracy. Dietary intake data were entered for analysis using nutrition calculation software (Nutrition Data System for Research, version 4.02; Nutrition Coordinating Center, University of Minnesota, Minneapolis).

Physical fitness rather than physical activity was assessed because recall questionnaires in children younger than 10 years are less reliable and less valid than those in older children31,32 and because short-term recall questionnaires may reveal seasonal instead of usual physical activity. In the present study, physical fitness was measured using a modified Harvard step test. The step test consists of connecting a heart rate monitor (Polar Vantage XL; Polar Electric Co, Port Washington, NY) transmitter to the lower part of the child's chest and connecting a monitor to the wrist. A baseline heart rate is recorded, then the child is asked to start stepping onto and off (both feet) a stool 30 cm high, 42 cm wide, and 38 cm deep for 5 minutes. The student is paced at 30 cycles per minute. Heart rates were recorded 0, 1, and 2 minutes after the child either completely finished the exercise or stopped the exercise prematurely. A physical fitness score was calculated from the total time of exercise (in seconds) multiplied by 100 and divided by the sum of 3 heart rate values measured 0, 1, and 2 minutes after exercise.20

Body fat was measured using bioelectric impedance analysis (Tanita Corporation of America Inc, Arlington Heights, Ill) and body mass index. Bioelectric impedance analysis was used for body fat measurement because body fatness has been shown to relate closely to atherogenic and diabetogenic risk factors in children33 and because body mass index may not represent true body fatness in prepubertal children.34 The children, in indoor clothing, were asked to remove their shoes and socks and step on the metal box. Within 30 seconds, the instrument prints out percentage of body fat and weight. Students, in indoor clothing and barefooted, also had their height measured using a wall stop measuring tape (stadiometer) (Seca Bodymeter 206; Seca Corp, Hanover, Md). Body mass index was calculated as weight in kilograms divided by the square of height in meters using the Quetelet Index measure.

Measures of student and school characteristics

Information on student age, sex, and ethnic background and the percentage of students classified as economically disadvantaged (eligible for free lunch) were collected from student self-report and cross-checked with information provided by the school. Parents or guardians of students were also asked to complete a questionnaire at baseline. Information collected from parents or guardians included family health history, parental education, family income, and self-reported health status. Finally, information was collected to assess differences between schools. Each school's level of performance on the Texas Academic Assessment Systems was obtained from the Texas Education Agency Web site. The levels of performance were categorized as "exemplary," "recognized," "acceptable," and "low." Information was also gathered on the percentage of students who identified themselves as Mexican American or Hispanic and the percentage of students classified as being economically disadvantaged based on free school lunch program eligibility.

Statistical analysis

Because randomization and implementation of the health intervention occurred at the school level, we used mixed models to adjust the clustering effect controlling for the dependency at the student level.35 This approach effectively models outcomes at the individual level in terms of student- and school-level covariates while concurrently estimating and adjusting for the intraclass correlation present in the data. We used hierarchical linear and nonlinear modeling software (HLM 5; Scientific Software International, Lincolnwood, Ill) to conduct the mixed-models analyses.36

All regression analyses were conducted using the intent-to-treat method, with students analyzed in their originally assigned treatment condition regardless of midyear transferring and attendance at Bienestar program activities. The change in the 5 outcome variables from baseline to follow-up was the dependent variable, and sex, ethnicity, and age were the student-level covariates. Height change from baseline to follow-up was included in all models to control for differential growth effect. The baseline value of the outcome variable was also included in all models. For dietary intake outcomes, total daily caloric intake (mean) at baseline was added to the regression as a covariate in addition to other covariates. All student-level covariates were originally allowed to vary randomly. In most cases, only the baseline value of the outcome variable varied randomly across schools.

Three school-level contextual variables (percentage disadvantaged, percentage Mexican American, and Texas Academic Assessment Systems level) that provided an indication of the social and cultural characteristics of the schools involved were included as covariates. In the original analyses, they were all entered into the regression models as school-level covariates to control for their potential effects on intervention outcomes. School-level contextual variables were then eliminated from the model if they did not contribute significantly to variations in the differences in the outcome variables. We estimated the differences in changes in the outcome variables and their 95% confidence intervals (95% CIs), adjusting for student- and school-level covariates. We included only statistically significant fixed and random variables in the final models.


Participation level

Of 1993 fourth-grade students available from 27 elementary schools, 1419 (71%) returned signed parent consent and student assent forms. The response rate in the intervention schools (74%) was 4.6% (95% CI, 0.07%-8.0%) higher than that in control schools (69%) (Figure 1). Because there was no evidence that students and parents were aware of their assignments, it was unclear why the response rate was different.

Baseline and follow-up FCG levels were collected from 1419 (713 intervention and 706 control) and 1221 (619 intervention and 602 control) fourth-grade children, respectively (Figure 1). Sample sizes for the other outcome measures varied slightly. The 198 students missing were either lost to follow-up (119 students) or excluded from analysis because of missing values, extreme values, or exclusion criteria (79 students).

At baseline, there were no statistically significant differences in student characteristics between control and intervention schools except for intervention schools tending to have a higher percentage of Mexican American students (P = .02). At baseline, there were no statistically significant differences in outcome measures between intervention and control schools except for physical fitness measures (fitness score, 65.93 for control schools and 63.90 for intervention schools; P = .001 after adjusting for sex, ethnicity, and age). Potential bias that could be introduced by differences in attrition rates between control and intervention schools was examined. No difference in attrition due to student sex, ethnicity, or treatment condition was found.

Household and student characteristics

Household demographic questionnaires were completed and returned by 956 of 1434 families who had signed parent consent forms. The annual household income averaged $11 000 for intervention schools and $12 000 for control schools. The average number of persons living in a household was 5 for intervention and control schools. Twenty-one percent of intervention schools and 18% of control schools had households with single parents. Mother's level of education was similar for both groups. For each group, 82% of mothers had a high school education or less and 18% had some college education or more. Fifty-five percent of questionnaire respondents from intervention schools and 60% from control schools reported having a fair to poor health status. Family members responding to the questionnaire reported that 55% of children from intervention schools and 60% from control schools had a first- or second-degree relative with diabetes mellitus. See Table 2 for student characteristics.

Table 2. 
Baseline Characteristics of Students and Schools in the Bienestar Study
Baseline Characteristics of Students and Schools in the Bienestar Study

Evaluation of program implementation

Bienestar and school staff delivered 652 sessions of Bienestar programming to the 13 elementary schools in the intervention arm (average of 50 sessions per school): 87 school cafeteria sessions, 26 parent activities, 222 health club sessions, 118 lunch visits, and 199 health and physical education classes. On average, during the 7-month intervention period, a student attended 32 Bienestar sessions.

Outcome measures

There was a significant difference in change in FCG levels in intervention and control school students (adjusted difference, –2.24 mg/dL [–0.12 mmol/L]; 95% CI, –6.53 to 2.05 mg/dL [–0.36 to 0.11 mmol/L]; P = .03). The FCG levels decreased in intervention schools and increased in control schools after adjusting for covariates.

At baseline, students in intervention schools had lower fitness scores than those in control schools. At follow-up, however, students in intervention schools increased their fitness scores by 1.81 points, and control students decreased their fitness scores by –0.73 points. The adjusted difference in fitness score change between intervention and control students was significant (1.87 points; 95% CI, –1.44 to 5.17 points; P = .04).

Favorable changes were also observed in intervention students' dietary fiber intake. After adjusting for covariates, students in intervention schools reportedly consumed significantly higher amounts of dietary fiber than their control counterparts (approximately 1 g/d; 95% CI, –0.53 to 2.51 g/d; P<.009). There were no statistically significant differences in changes in percentage of body fat and percentage of energy intake from saturated fat between intervention and control students (Table 3).

Table 3. 
Differences in Bienestar Outcome Values From Baseline to Follow-up Between Students in Control and Intervention Schools*
Differences in Bienestar Outcome Values From Baseline to Follow-up Between Students in Control and Intervention Schools*


The Bienestar Health Program is a culturally appropriate school-based diabetes mellitus prevention program aimed at reducing the risk associated with type 2 diabetes mellitus in low-income Mexican American children. During a 7-month period, Bienestar students showed more favorable changes in FCG, dietary fiber, and fitness levels than control students.

Positive results may have been the outcome of culturally appropriate material, multiple systems of delivery, and the frequency of contacts. Theory suggests that children from ethnic populations may improve their understanding of learning material if the curriculum uses examples and content from his or her own culture to illustrate key concepts, principles, and generalizations.37 A second factor that may explain positive results was the delivery system. The Bienestar intervention was delivered through 4 social systems that were designed to have an effect on children's health behaviors. Programs with added social support and peer pressure have been shown to improve compliance and health outcomes.38 Finally, positive results may have occurred because of the frequency of program exposures. Students averaged 32 sessions of health education programming per school year. To produce statistically significant physiologic effects, a health intervention may need up to 20 sessions of programming a year.39,40

Decreasing dietary fat intake was one of the program's objectives, and although dietary fat intake did not decrease statistically significantly, the FCG level did. Our review of the literature showed that in nondiabetic populations, glucose metabolism might be more closely related to dietary fiber intake than to dietary fat intake. A study41 of healthy youth showed that dietary intake of fruits and vegetables, and not dietary fat, was related to insulin sensitivity. A study42 of diabetic youth, on the other hand, showed a relationship between decreased dietary fat intake and type 2 diabetes mellitus control. Similarly, studies of healthy adults showed that glucose metabolism is more closely related to dietary fiber12,43,44 than to dietary fat,45-47 and studies of diabetic adults showed that glucose metabolism is more closely related to dietary fat40,48,49 than to dietary fiber.50,51 These findings suggest that dietary interventions might need to be tailored differently according to whether the goal is diabetes mellitus prevention or treatment.

Another risk factor that was not modified substantially in this study was body fat. Weight management seems to be the single most important lifestyle factor for the prevention of type 2 diabetes mellitus in adults.4,5,7 Although weight loss to decrease the risk of diabetes mellitus may be feasible in adults, it may be more difficult in prepubertal children, who go through yearly increases in body weight and body fat as part of their normal growth and development.52 However, even without weight loss, diabetes mellitus prevention may still be feasible as a result of the direct impact of physical activity on FCG concentration.53 A meta-analysis54 of controlled clinical trials in adults showed that exercise exerted a favorable effect on type 2 diabetes mellitus even without weight loss.

Although the Bienestar Health Program had a favorable effect on FCG concentration, fitness levels, and mean dietary fiber intake, it is unknown whether these outcomes will be sustained over time. To eventually prevent diabetes mellitus, at-risk children most likely need to incorporate healthy eating behaviors and physical activity as lifetime habits. In the Bienestar Health Program, the goal is to develop in children a positive belief related to healthful food choices and physical activity and to increase social support for both. If a child develops positive beliefs about food choices and physical activity and has parents, peers, teachers, cafeteria personnel, school administrators, and after-school caretakers constantly encouraging and supporting these beliefs, then these foundations should result in children sustaining healthy behaviors into adolescence. Continued measurements during the next 4 years will test the validity of these assumptions.

The positive effect of lifestyle changes on FCG levels is encouraging. Two other randomized controlled trials55,56 have also shown the positive effects of lifestyle changes on glucose metabolism. In one study,55 79 healthy adults with underlying insulin resistance were randomly assigned to either an intensive behavior modification program or a control group. Individuals in the intensive program, compared with their control counterparts, had substantial improvement in insulin sensitivity during the 4-month study. Similar to the present findings, parallel improvement in fitness and dietary fiber intake occurred, but no improvements in total and saturated fat intakes were reported among the program participants. The second study was the Diabetes Prevention Program study,56 in which 3234 nondiabetic adults with elevated fasting and postload glucose levels were randomized to receive placebo, metformin, or lifestyle changes. After average follow-up of 2.8 years, the incidence of diabetes mellitus was 11.0, 7.8, and 4.8 cases per 100 person-years in the placebo, metformin, and lifestyle groups, respectively. These studies again show the promising effects of lifestyle changes on controlling diabetes mellitus.

In conclusion, the Bienestar Health Program is a culturally appropriate school-based diabetes mellitus prevention program aimed at low-income Mexican American children and their families residing in an urban area. The program, in a randomized controlled trial, statistically significantly increased fitness scores and dietary fiber intakes and decreased FCG levels. Although these positive results are encouraging, further research is needed to examine long-term effects, translation to other high-risk populations, and cost-effectiveness.


What This Study Adds

The number of new cases of type 2 diabetes mellitus in low-income children is growing. High levels of modifiable risk factors associated with type 2 diabetes mellitus (high fat intake, low fiber intake, low physical activity levels, and obesity) have also been reported in low-income children. The Bienestar Health Program was developed to reduce or prevent type 2 diabetes mellitus in low-income children. The success of the program is credited to the coordinated approach and the collaboration among students, parents, teachers, coaches, school administrators, school nurses, and cafeteria staff.

Correspondence: Roberto P. Treviño, MD, Social and Health Research Center, 1302 S St Mary's St, San Antonio, TX 78210 (

Accepted for publication October 2, 2003.

This study was supported in part by grant DK59213-03 from the National Institutes of Health–National Institute of Diabetes and Digestive and Kidney Disease, Bethesda, Md, and by the University Health System, San Antonio.

Harris  MIGoldstein  DEFlegal  KM  et al.  Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in US adults: the third National Health Nutrition Examination Survey.  Diabetes Care. 1998;21518- 524PubMedGoogle ScholarCrossref
Neufeld  NDChen  YIRaffel  LJ Early presentation of type 2 diabetes in Mexican-American youth.  Diabetes Care. 1998;2180- 86PubMedGoogle ScholarCrossref
Hale  DEDanney  MM Non-insulin dependent diabetes in the Hispanic youth [abstract].  Diabetes. 1998;47A82Google ScholarCrossref
Wing  RRPolley  BAVenditti  ELang  WJakicic  JM Lifestyle intervention in overweight individuals with a family history of diabetes.  Diabetes Care. 1998;21350- 359PubMedGoogle ScholarCrossref
O'Sullivan  JB Body weight and subsequent diabetes mellitus.  JAMA. 1982;248949- 952PubMedGoogle ScholarCrossref
Knowler  WCPettitt  DJSavage  PJBennett  PH Diabetes incidence in Pima Indians: contributions of obesity and parental diabetes.  Am J Epidemiol. 1981;113144- 156PubMedGoogle Scholar
Long  SDO'Brien  KMacDonald  KG  et al.  Weight loss in severely obese subjects prevents the progression of impaired glucose tolerance to type II diabetes.  Diabetes Care. 1994;17372- 375PubMedGoogle ScholarCrossref
Mayer-Davis  JED'Agostino  RKarter  AJ  et al.  Intensity and amount of physical activity in relation to insulin sensitivity: the Insulin Resistance Atherosclerosis Study.  JAMA. 1998;279669- 674PubMedGoogle ScholarCrossref
Helmrich  SRaglund  DLeung  WPaffewnbarger  R Activity and reduced occurrence of non–insulin-dependent diabetes mellitus.  N Engl J Med. 1991;325147- 152PubMedGoogle ScholarCrossref
Manson  JRimm  EStampfer  MJ  et al.  Physical activity and incidence of non–insulin-dependent diabetes mellitus in women.  Lancet. 1991;338774- 778PubMedGoogle ScholarCrossref
Grunfield  CBaird  KKahn  C Maintenance of 3T3-L1 cell in culture media constraining saturated fatty acids decreases insulin binding and insulin action.  Biochem Biophys Res Commun. 1981;103219- 226PubMedGoogle ScholarCrossref
Salmeron  JManson  JEStampfer  MJColditz  GAWing  ALWillett  WC Dietary fiber, glycemic load, and risk of non–insulin-dependent diabetes mellitus in women.  JAMA. 1997;277472- 477PubMedGoogle ScholarCrossref
Baumgartner  RNRoche  AFGuo  SChumlea  WCRyan  AS Fat patterning and centralized obesity in Mexican-American children in the Hispanic Health and Nutrition Examination Survey (HHANES 1982-1984).  Am J Clin Nutr. 1990;51936S- 943SGoogle Scholar
Strauss  RSPollack  HA Epidemic increase in childhood overweight, 1986-1998.  JAMA. 2001;2862845- 2848PubMedGoogle ScholarCrossref
Kaplowitz  HMartorell  RMendoza  FS Fatness and fat distribution in Mexican-American children and youths from the Hispanic Health and Nutrition Examination Survey.  Am J Hum Biol. 1989;1631- 648Google ScholarCrossref
Murphy  SPCastillo  ROMartorell  RMendoza  FS An evaluation of food group intakes by Mexican-American children.  J Am Diet Assoc. 1990;90388- 393PubMedGoogle Scholar
Krebs-Smith  SMCook  ADSubar  AFCleveland  LFriday  JKahle  LL Fruit and vegetable intakes of children and adolescents in the United States.  Arch Pediatr Adolesc Med. 1996;15081- 86PubMedGoogle ScholarCrossref
McKenzie  TLSallis  JFNader  PRBroyles  SNelson  JA Anglo- and Mexican-American preschoolers at home and at recess: activity patterns and environmental influences.  J Dev Behav Pediatr. 1992;13173- 180PubMedGoogle ScholarCrossref
Wolf  AMGortmaker  SLCheung  LGray  HMHerzog  DBColditz  GA Activity, inactivity, and obesity: racial, ethnic, and age differences among schoolgirls.  Am J Public Health. 1993;831625- 1627PubMedGoogle ScholarCrossref
Trevino  RPMarshall  RMHale  DERodriguez  RBaker  GGomez  J Diabetes risk factors in low-income Mexican-American children.  Diabetes Care. 1999;22202- 207PubMedGoogle ScholarCrossref
Pellett  PL Food energy requirements in humans.  Am J Clin Nutr. 1990;51711- 722PubMedGoogle Scholar
Bandura  A Social Foundations of Thought and Action: A Social Cognitive Theory.  Englewood Cliffs, NJ Prentice-Hall International Inc1986;
McLeroy  KRBibeau  DSteckler  AGlanz  K An ecological perspective on health promotion programs.  Health Educ Q. 1988;15351- 377PubMedGoogle ScholarCrossref
Vygotsky  LS The problem of the cultural development of the child.  J Genet Psychol. 1929;35415- 432Google Scholar
Garza  RTLipton  JP Theoretical perspectives on Chicano personality development.  Hisp J Behav Sci. 1982;4407- 432Google ScholarCrossref
Bruss  MBMorris  JDannison  L Prevention of childhood obesity: sociocultural and familial factors.  J Am Diet Assoc. 2003;1031042- 1045PubMedGoogle ScholarCrossref
American Diabetes Association, Screening for type 2 diabetes.  Diabetes Care. 2003;26 (suppl 1) S21- S24PubMedGoogle ScholarCrossref
American Diabetes Association, Screening for type 2 diabetes.  Diabetes Care. 2004;27 (suppl 1) S11- S14PubMedGoogle ScholarCrossref
Frank  GCBerenson  GSSchilling  PEMoore  MC Adapting the 24-hour recall for epidemiological studies of school children.  J Am Diet Assoc. 1977;7126- 31PubMedGoogle Scholar
Carter  RISharbaugh  COStapeli  CA Reliability and validity of the 24-hour recall.  J Am Diet Assoc. 1981;79542- 547PubMedGoogle Scholar
Sallis  JFBuono  MJRoby  JJMicale  FGNelson  JA Seven-day recall and other physical activity self-reports in children and adolescents.  Med Sci Sports Exerc. 1993;2599- 108PubMedGoogle ScholarCrossref
Saris  WH Habitual physical activity in children: methodology and findings in health and disease.  Med Sci Sports Exerc. 1986;18253- 263PubMedGoogle ScholarCrossref
Gutin  BIslam  SManos  TCucuzzo  NSmith  CStachura  ME Relation of percentage of body fat and maximal aerobic capacity to risk factors for atherosclerosis and diabetes in black and white seven- to eleven-year-old children.  J Pediatr. 1994;125847- 852PubMedGoogle ScholarCrossref
Daniels  SRKhoury  PRMorrison  JA The utility of body mass index as a measure of body fatness in children and adolescents: differences by race and gender.  Pediatrics. 1997;99804- 807PubMedGoogle ScholarCrossref
Murray  DM Design and Analysis of Group-Randomized Trials. 27 New York, NY Oxford University Press1998;
Raudenbush  SWBryk  ASCheong  YF HLM 5: Hierarchical Linear and Nonlinear Modeling. 2nd ed. Chicago, Ill Scientific Software International Inc2001;
Erickson  F Culture in society and in educational practices. Banks  JAMcGee Banks  Ceds. Multicultural Education: Issues and Perspectives. 3rd ed. Boston, Mass Allyn & Bacon1977;Google Scholar
Perri  MGMcAllister  DAGange  JJNezu  AM Effects of four maintenance programs on the long-term management of obesity.  J Consult Clin Psychol. 1988;56529- 534PubMedGoogle ScholarCrossref
Resnicow  KRobinson  TNFrank  E Advances and future directions for school-based health promotion research: commentary on the CATCH intervention trial.  Prev Med. 1996;25378- 383PubMedGoogle ScholarCrossref
Swinburn  BAMetcalf  PALey  SJ Long-term (5-year) effects of a reduced fat diet intervention in individuals with glucose intolerance.  Diabetes Care. 2001;24619- 624PubMedGoogle ScholarCrossref
Lindquist  CHGower  BAGoran  MI Role of dietary factors in ethnic differences in early risk of cardiovascular disease and type 2 diabetes.  Am J Clin Nutr. 2000;71725- 732PubMedGoogle Scholar
Pinhas-Hamiel  OStandiford  DHamiel  DDolan  LMCohen  RZeitler  PS The type 2 family: a setting for development and treatment of adolescent type 2 diabetes mellitus.  Arch Pediatr Adolesc Med. 1999;1531063- 1067PubMedGoogle ScholarCrossref
Salmeron  JAscherio  ARimm  EB  et al.  Dietary fiber, glycemic load, and risk of NIDDM in men.  Diabetes Care. 1997;20545- 550PubMedGoogle ScholarCrossref
Ludwig  DSPereira  MAKroenke  CH  et al.  Dietary fiber, weight gain, and cardiovascular disease risk factors in young adults.  JAMA. 1999;2821539- 1546PubMedGoogle ScholarCrossref
Mayer  EJNewman  BQuesenberry  CPSelby  JV Usual dietary fat intake and insulin concentrations in healthy women twins.  Diabetes Care. 1993;161459- 1469PubMedGoogle ScholarCrossref
van Dam  RMWillett  WCRimm  EBStampfer  MJHu  FB Dietary fat and meat intake in relation to risk of type 2 diabetes in men.  Diabetes Care. 2002;25417- 424PubMedGoogle ScholarCrossref
Lovejoy  JCSmith  SRChampagne  CM  et al.  Effects of diets enriched in saturated (palmitic), monounsaturated (oleic), or trans (elaidic) fatty acids on insulin sensitivity and substrate oxidation in healthy adults.  Diabetes Care. 2002;251283- 1288PubMedGoogle ScholarCrossref
Marshall  JAHoag  SShetterly  SHamman  E Dietary fat predicts conversion from impaired glucose tolerance to NIDDM.  Diabetes Care. 1994;1750- 55PubMedGoogle ScholarCrossref
Tsunehara  CHLeonetti  DLFujimoto  WY Diet of second-generation Japanese-American men with and without non–insulin-dependent diabetes.  Am J Clin Nutr. 1990;52731- 738PubMedGoogle Scholar
Jenkins  DJAKendall  CWCAugustin  LSA  et al.  Effect of wheat bran on glycemic control and risk factors for cardiovascular disease in type 2 diabetes.  Diabetes Care. 2002;251522- 1528PubMedGoogle ScholarCrossref
Garg  ABantle  JPHenry  RR  et al.  Effects of varying carbohydrate content of diet in patients with non–insulin-dependent diabetes mellitus.  JAMA. 1994;2711421- 1428PubMedGoogle ScholarCrossref
Knittle  JLTimmers  KGinsberg-Fellner  FBrown  REDatz  DP The growth of adipose tissue in children and adolescents.  J Clin Invest. 1979;63239- 246PubMedGoogle ScholarCrossref
Bunt  JCSalbe  ADHarper  ITHanson  RLTataranni  AP Weight, adiposity, and physical activity as determinants of an insulin sensitivity index in Pima Indian children.  Diabetes Care. 2003;262524- 2530PubMedGoogle ScholarCrossref
Boule  NGHaddad  EKenny  GPWells  GASigal  RJ Effects of exercise on glycemic control and body mass in type 2 diabetes mellitus.  JAMA. 2001;2861218- 1227PubMedGoogle ScholarCrossref
McAuley  KAWilliams  SMMann  JI  et al.  Intensive lifestyle changes are necessary to improve insulin sensitivity.  Diabetes Care. 2002;25445- 452PubMedGoogle ScholarCrossref
Diabetes Prevention Program Research Group, Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.  N Engl J Med. 2002;346393- 403PubMedGoogle ScholarCrossref