Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2012 Jun 20.
Published in final edited form as: Ethn Dis. 2011 Spring;21(2):163–169.

Occurrence and Correlates of Overweight and Obesity among Island Puerto Rican Youth

Jeremiah R Garza 1, Edna Acosta Pérez 1, Michael Prelip 1, William J McCarthy 1, Jonathan M Feldman 1, Glorisa Canino 1, Alexander N Ortega 1
PMCID: PMC3379892  NIHMSID: NIHMS380777  PMID: 21749019

Abstract

Objective & Main Outcome Measures

This paper provides 2005–08 population-based prevalence data on obesity and overweight among youth residing in Puerto Rico.

Design & Setting

Data for this report are from the “Asthma, Depression, and Anxiety in Puerto Rican Youth” (ADA) study. Measures included height and weight level data on youth in Puerto Rico ages 10 to 19 with and without asthma as well as BMI data on their caregivers.

Participants

A total of 436 youth-caregiver dyads were selected and weighted to represent the general population of youth in Puerto Rico using 2008 U.S. Census data.

Results

Household surveys demonstrated that 40% of youth ages 10 to 19 were overweight or obese. Twenty-five percent met moderate-to-vigorous intensity physical activity guidelines; however: physical activity was not associated with overweight or obesity in this sample. In multivariate analyses, females were 50% less likely than males to be overweight or obese. Older youth were 73% less likely to be overweight or obese than younger youth. Youth whose parents were obese were more than two times more likely to be overweight or obese than those whose parents were at a desirable weight.

Conclusions

Youth in Puerto Rico have higher rates of overweight and obesity and lower compliance to moderate-to-vigorous intensity physical activity guidelines than rates reported for youth on the mainland. More population-based research is needed to understand the epidemiology of obesity and overweight among island Puerto Rican youth and the contribution of physical activity to the phenomenon.

Keywords: Child, Overweight/epidemiology, Obesity/epidemiology, Physical Activity, Prevalence, Puerto Rico/epidemiology

INTRODUCTION

Obesity has been described as an epidemic because of the relatively high number of individuals who have become overweight or obese over the past 20 years.1 The rise in obesity is a worldwide phenomenon affecting both children and adults.12 It is a societal health challenge because excess body weight is the sixth most important risk factor contributing to the overall burden of disease globally, increasing the risk of various chronic diseases.23

Childhood and adolescence (collectively, “youth”) have been proposed as critical periods for the development of this condition.2,4 Obesity in early life is of particular concern as approximately one-half of overweight adolescents and over one-third of overweight children remain obese as adults.2,5 Childhood obesity is associated with a wide range of serious complications in the short-term, and, if it persists into adulthood, increases the risk of excess illness and premature death later in life.6 Generally, higher rates of overweight and obesity are associated with lower physical activity participation.79 Moreover, a parallel increase in physical inactivity among youth is worrisome, as daily physical activity fosters optimal physical and cognitive development.10 For these reasons, several countries and their territories view the prevention of obesity as a public health priority that requires a concomitant focus on physical activity.2,3

The U.S. Commonwealth of Puerto Rico, where public health practitioners have been struggling with an increasing prevalence of pediatric obesity and inactivity-related diseases—such as diabetes, high blood pressure and heart disease—is no exception.1114 According to the Centers for Disease Control and Prevention’s (CDC) 2005 High School Youth Risk Behavior Survey (YRBS), the most recent data available on overweight/obesity among island Puerto Rican youth, 14% of youth in Puerto Rico are overweight and 12% obese.15 These island estimates are similar to the 15.8% overweight and 12.0% obese rates published most recently on mainland youth in the 2009 YRBS.16 Other studies in Puerto Rico that included children recruited from schools and clinics have reported obesity rates as high as 24.6% and 36%, respectively.12,13 The 2005 YRBS survey also shows that among those 14 years and older, fewer Puerto Rican high school students (20.8%) met physical activity guidelines than youth (35.8%) in the U.S. mainland.15 Accumulation of at least 60 min of moderate-to-vigorous intensity physical activity daily (MVPA) is recommended for youth.1719 Examples of MVPA include moderate-intensity aerobic activity, such as brisk walking, and vigorous-intensity activity, such as running.19 The lower rates of MVPA in Puerto Rico are troubling given that the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services recommend regular physical activity to facilitate weight control.18,19 While popular media and a small handful of empirical studies have reported on the relationship between obesity and inactivity among youth in Puerto Rico, more population-based research is needed that examines island youth.1114, 2022 The current literature on obesity among youth in Puerto Rico, including the YRBS, is limited by the use of clinical- or school-based rather than population-based samples, and it has mostly failed to include determinants of obesity, such as level of physical activity and familial or social characteristics.

In this study, we sought to determine the strength of the associations between correlates of youth overweight/obesity and physical activity, sociodemographics and parental/caregiver variables using youth- or parent-reported data from the Asthma, Depression and Anxiety in Puerto Rican Youth (ADA) study.23,24 The ADA study also collected simple measures of obesity, as well as physical activity, which allowed us to describe the occurrence and correlates of these variables among youth and their caregivers in the data set. With respect to social variables, while a number of mainland studies have documented higher rates of overweight and obesity among low-socioeconomic groups, there has been a paucity of such studies in Puerto Rico.25,26 This study therefore explores the relationship between social variables such as, perception of poverty, household income, and parental education, among other variables, with youth overweight and obesity status. This study is unique because it uses a larger, population-based sample compared with prior studies, and it examines the prevalence and correlates of early life (10 to 19 years of age) overweight/obesity and physical activity on the island.

METHODS

Data for this study are from the third wave (2005–2008) of the ADA study which was specifically designed to assess the associations of asthma and asthma care with child and parental psychiatric disorders among Puerto Rican children 4 to 17 years of age.23,24 We were however, able to collect some limited information on obesity and physical activity in this third wave. Wave one and two did not include these questions; thus, the analyses presented here involve cross-sectional data from wave three. Wave one was conducted from 1999–2000, and wave two was a one-year follow-up from 2000–2001. Details regarding the sampling design and procedures have been previously described for wave one and two.23,24 Therefore, the sample and measures are described briefly, with particular focus paid to describing wave three of the study, which has not been previously reported.

Youth between the ages of 4 and 17 years living on the island of Puerto Rico comprised an island-wide household probability sample stratified by four dimensions: urban versus rural areas, Puerto Rico’s health reform areas, child’s age, and gender. A total of 2,102 children from the community were deemed eligible. At wave one, 1,886 children and their caregivers were interviewed for a response rate of 90.1%. A total of 1,789 caregiver-youth dyads from wave one were interviewed at wave two, for a 94.9% retention rate at one-year follow-up.

For wave three, we used direct mail to recruit participants from wave two. The goal for the ADA study was to obtain a representative community sample including youth and young adults stratified into four groups (asthma and anxiety/depression; asthma no anxiety/depression; anxiety/depression no asthma; neither asthma nor anxiety/depression). Using simple random selection, 825 households were contacted, from which 656 youth and young adults, 10 to 25 years old, were interviewed for a response rate of 79.5%. Because the current study focuses only on youth and not young adults (because some of the youth in wave 1 were young adults by wave three), we included caregiver-youth dyads with male and female youth between 10 and 19 years old (n=436) at the time of wave three data collection.23,24

Blinded interviewers conducted interviews in the families’ homes and different interviewers were used for the youth/young adult and caregiver interviews. The adult informant was the participant’s biological mother for ~89% of the interviews. All interviews were audiotaped, and 15% were randomly reviewed for quality control. The study protocol was approved by the institutional review boards (IRBs) of the University of Puerto Rico, Medical Sciences Campus and the University of California Los Angeles. Caregiver consent and child assent were obtained for youth under the age of eighteen years. Consent was obtained for participants eighteen years and older. In order for a youth/young adult to participate, caregivers were also required to participate in the study to provide information about themselves and their progeny.

The survey collected demographic information, BMI, and physical activity level, among other measures.23,24,2729 Parent-reported demographic variables included parental education, marital status, work status, household income, household composition, perception of poverty, and child’s age and sex.31 BMI was based on child height and weight information obtained from parental report for youth below age 17 years. Youth 17 to 19 years old provided information on their own weight and height. For youth under the age of 20, the 85th percentile for age- and gender-specific BMI levels using CDC growth chart norms was used as the cutpoint for child classification as overweight and the 95th percentile for classification as obese.27 All youth weight below the 85th percentile was termed, “desirable weight.” Weight status was interpreted for caregivers (≥ 20 years) using CDC-defined standard weight status categories (i.e., desirable weight, overweight, obese).27,28 We used a measure of youth compliance to the federal recommendation of at least 60 minutes of MVPA daily.18 A two-item PACE+ Adolescent Physical Activity Measure assessed the number of days youth had accumulated at least 60 minutes of MVPA per day during the past seven days and for a typical week.29 Information regarding MVPA was obtained by parental report for children younger than 17 years old, while youth 17 to 19 years old provided their own information. We report a composite average of the two items, yielding a score of the number of days per week during which the youth accumulated 60 minutes of MVPA.29 Five or more days per week met the federal guideline for youth.29

Analyses were weighted to account for the complex sampling design, to correct for differential nonresponse, and to represent the general population of youth in Puerto Rico using 2008 U.S. Census data. The estimation of design weights used to make our sample representative of youth in Puerto Rico was accomplished in two stages. We estimated the subjects’ probability of selection during the third wave and made an additional adjustment for the response rate. The probability of selection took into account that for wave three we selected a different number of subjects from four strata of different sizes. The inverse of this final probability was used to estimate the initial design weights. The design weight estimated during this first stage made our sample representative of the youth population in Puerto Rico in the year 2000 using 2000 U.S. Census Data. In the second stage we made an additional adjustment to our design weights by post-stratifying the data to the population of youth in Puerto Rico as documented in 2008 U.S. Census data. The results were estimated with SUDAAN 10 software to adjust standard errors for multistage sampling, with youth-caretaker dyads nested within households and households nested within primary sampling units.30

Chi-square tests and logistic regression models were used to examine associations among youth overweight/obesity with physical activity, socioeconomic status (SES), parent marital status and parent body mass index (BMI).

RESULTS

Of the entire youth sample, 17.9% were reported as overweight and 21.5% were reported as obese. According to the unadjusted results in Table 1, the odds of youth 15 to 19 years old being overweight/obese were 35 percent (OR= .35, 95% CI = .22, .58) of the odds that youth 10 to 14 years old reported being overweight/obese than. Female youth were (marginally) 37 percent (OR=.63, 95% CI = .38, 1.02)) less likely to be overweight/obese than males. Youth whose parents reported an annual household income of $6,000 or less were 2.06 (95% CI = .96, 4.42) times more likely to be overweight/obese than those from households with annual family incomes over $25,000.

Table 1.

Unadjusted Associations of Youth and Family/Parental Characteristics with Youth Overweight/Obesity Status

Characteristics N=436 Overweight/
obese
(n=152)
Desirable
weight (Not
Overweight/ not
obese) (n=227)
OR (95% CI)

N %/mean %/mean (SE) %/mean (SE)
YOUTH CHARACTERISTICS
Age Category
    10 to 14 years 157 47.25 52.26 (4.97) 47.74 (4.97) Reference
    15 to 19 years 222 52.75 27.98 (3.38) 72.02 (3.38) .35 (.22–.58)
Male 196 50.59 44.96 (4.42) 55.04 (4.42) Reference
Female 183 49.41 33.81 (4.10) 66.19 (4.10) .63 (.38–1.02)
Physical Activity (number of days in
usual week exercised 60+ minutes)
376 3.46 3.46 (0.23) 3.46 (0.21) 1.00 (.92–1.09)
Smoke Exposure
    No 238 68.47 39.16 (3.66) 60.84 (3.66) Reference
    Yes 132 31.53 40.88 (5.57) 59.12 (5.57) 1.07 (.64–1.82)
Youth Self-Report PACE+ Adolescent Physical Activity Measure
    Not met moderate to vigorous
    physical activity guidelines
283 74.72 40.30 (3.60) 59.70 (3.60) Reference
    Met moderate to vigorous physical
    activity guidelines
92 25.28 35.73 (5.39) 64.27 (5.39) .82 (.50–1.37)
Caregiver* Report PACE+ Adolescent Physical Activity Measure
    Not met moderate to vigorous
    physical activity guidelines
235 63.94 39.12 (3.81) 60.88 (3.81) Reference
    Met moderate to vigorous physical
    activity guidelines
138 36.06 40.44 (5.00) 59.56 (5.00) 1.06 (.65–1.71)

FAMILY/PARENTAL CHARACTERISTICS

Household composition (number of
people in household)
379 4.17~ 4.21 (0.12) 4.14 (0.08) 1.05 (.88–1.25)
Maternal Figure Education
    Less than high school 60 15.27 35.13 (7.44) 64.87 (7.44) .83 (.40–1.69)
    High School 120 31.12 40.79 (5.71) 59.21 (5.71) 1.05 (.59–1.86)
    Some college 194 53.62 39.63 (4.21) 60.37 (4.21) Reference
Paternal Figure Education
    Less than high school 74 28.24 38.00 (7.18) 62.00 (7.18) .96 (.46–1.99)
    High School 87 31.28 38.42 (6.50) 61.58 (6.50) .97 (.47–2.04)
    Some college 96 40.49 39.05 (5.80) 60.95 (5.80) Reference
Income
   6,000 or less 77 20.21 51.99 (6.97) 48.01 (6.97) 2.06 (.96–4.42)
   6,001–12,000 81 23.63 33.93 (5.76) 66.07 (5.76) .98 (.49–1.94)
   12,001–25,000 98 27.78 38.71 (5.44) 61.29 (5.44) 1.20 (.62–2.34)
   over 25,000 94 28.39 34.45 (5.75) 65.55 (5.75) Reference
Perception of poverty
   Live Poorly 40 7.66 33.41 (7.69) 66.59 (7.69) .64 (.30–1.39)
   Live Check to Check 140 37.81 34.00 (4.52) 66.00 (4.52) .66 (.39–1.12)
   Live well 197 54.53 43.89 (4.55) 56.11 (4.55) Reference
Employment (maternal figure)
    No 170 43.50 42.92 (4.42) 57.08 (4.42) Reference
    Yes 204 56.50 36.52 (4.05) 63.48 (4.05) .77 (.48–1.22)
Employment (paternal figure)
    No 65 27.69 36.57 (7.22) 63.43 (7.22) Reference
    Yes 192 72.31 39.32 (4.38) 60.68 (4.38) 1.12 (.57–2.24)
Caregiver marital status
   Married/living with couple 255 67.13 38.45 (3.86) 61.55 (3.86) Reference
   Separated/Divorced/Widowed 101 27.70 41.80 (5.99) 58.20 (5.99) 1.15 (.64–2.07)
   Never married 21 5.17 37.86 (12.65) 62.14 (12.65) .98 (.33–2.91)
Caregiver BMI Weight Status Categories *
    Underweight 5 1.37 56.75 (26.32) 43.25 (26.32) 3.11 (.34–28.36)
    Normal weight 101 27.67 29.69 (6.03) 70.31 (6.03) Reference
    Overweight 128 34.67 33.20 (4.41) 66.80 (4.41) 1.18 (.59–2.34)
    Obese 134 36.30 53.15 (5.21) 46.85 (5.21) 2.69 (1.34–5.37)
*

Primary caregiver could be the mother or father, but mostly they were mothers (~89%)

In terms of parents’ demographic characteristics, 67% of the sample was married; over 70% were high school or college educated and 55% perceived their family as living well financially. Overweight caregivers comprised 35.0% of the sample, and 36.3% were obese. Obese caregivers were more likely (OR = 2.69, 95% CI = 1.34, 5.37) to have overweight or obese children than desirable weight parents. Approximately 25% of youth complied with the federal MVPA recommendation, while 36% of parents reported their children as meeting the recommendation.

Table 2 shows the adjusted results for the associations involving demographic factors and physical activity with youth overweight/obese status. Older youth had lower odds (OR = 0.27, 95% CI = 0.16, 0.47) of being overweight or obese than younger youth. Female youth had lower odds (OR= 0.50, 95% CI = 0.28, 0.91) of being overweight or obese than male youth. Youth reporting more days per week of at least 60 minutes of exercise were moderately less likely to be overweight or obese (OR = .96, 95% CI = .88, 1.05). Obese caregivers were more likely (OR = 2.78, 95% CI = 1.38, 5.61) to have overweight or obese children than desirable weight parents.

Table 2.

Multivariate Associations of Physical Activity and Parental BMI with Youth Overweight/Obesity Status*

Variables OR (95% CI)
Age Category
    10 to 14 years Reference
    15 to 19 years .27 (.16–.47)
Gender
    Male Reference
    Female .50 (.28–.91)
Income
    6,000 or less 1.70 (.76–3.80)
    6,001–12,000 .90 (.44–1.83)
    12,001–25,000 .97 (.44–2.14)
    over 25,000 Reference
Physical Activity (number of days in usual week exercise 60 minutes) .96 (.88–1.05)
Caregiver BMI Weight Status Categories
    Underweight 3.48 (.36–33.67)
    Normal weight Reference
    Overweight 1.43 (.70–2.91)
    Obese 2.78 (1.38–5.61)
*

For this regression, we used 341 cases out of a total of 436; missing data caused 105 to be dropped through listwise deletion

Primary caregiver could be the mother or father, but mostly they were mothers (~89%)

CONCLUSION

Our prevalence estimates of overweight and obesity among island Puerto Rican youth differ from previous published studies. For example, the CDC’s 2005 YRBS, which used a school-based sample, provides the most current estimates available for the island. It found that 14% and 12% of Puerto Rican 9th through 12th graders were overweight and obese, respectively, compared with 15.7% and 13.1% for U.S. mainland youth.15 Compared with the latest estimates of the general U.S. mainland youth, our estimates are higher; they are higher than the 15.8% overweight and 12.0% obese reported among high school youth by the CDC’s 2009 YRBS and the 18.1% obese reported by the 2007–2008 National Health and Nutrition Examination Survey.16, 32 With respect to youth physical activity, our estimates of the percentage of Puerto Rican youth meeting federally recommended MVPA guidelines were higher than the 20.8% reported for Puerto Rican island youth in the 2005 YRBS.15

Regarding our estimates of overweight/obesity, in comparison, a study of U.S. Latino children seen at community health centers in medically underserved areas (including Puerto Rico) reported an obesity estimate of 24.6%.13 A separate study of 158 children receiving pediatric care at the San Juan City Hospital and a primary care clinic in Puerto Rico reported an obesity prevalence rate of 36%.12 Two possible reasons for these differences in findings are the following: first, school samples are skewed towards non representation of older adolescents in places such as Puerto Rico where school truancy is high; and second, some of the studies included clinical samples with characteristics that might place them at higher risk for being overweight or obese compared to our broader, more representative sample.

The fact that older youth in our study exhibited lower odds of being overweight or obese than younger youth indicates a significant inverse effect of age. This finding is inconsistent with the current literature which shows that overweight children are more likely to become overweight in adolescence and adulthood than before adolescence.15, 33 Our observation may be partially explained by the common growth spurt that occurs during the adolescent years.34,35 A good fraction of youth in our sample are experiencing such growth spurts, and to the extent that their height is increasing faster than their weight, this would help to explain the decline in obesity risk with increasing age in this population as measured by BMI. Should this in some way help explain the inverse finding, it may merely demonstrate a temporary artifact of how youth physical development affects BMI and may not be related to lifestyle choices known to affect weight long term.

The lower odds of Puerto Rican female youth in our study for being overweight/obese compared with male youth is consistent with national data on sex differences among Latinos and stand in contrast to the sex differences among African American adolescents, where girls are at higher risk than boys.36 Further study of sex differences in weight status among Puerto Rican youth is important because the causes of overweight/obesity may differ in girls and boys and be mediated by race and ethnicity.36,37

We did not find a significant relationship between social variables such as, perception of poverty, household income, and parental education, with youth overweight and obesity. While it has been well-documented that low-socioeconomic-status groups are disproportionately affected by obesity at all ages,25,26 our null findings may be an artifact of examining these relationships in an island population that is generally low-income (45% of the population live below the poverty level);38 over 70% of our sample reported annual household incomes of $25,000 or less.

The ~70% of parents who were overweight or obese in our study is higher than previously reported prevalence estimates for adults in Puerto Rico.22 The observation that overweight or obese parents were more likely to have overweight or obese children is consistent with studies showing that young children with at least one obese parent have greater odds for becoming obese themselves than children with desirable weight parents.3945

In sum, a greater percentage of island youth are overweight and obese compared with corresponding estimates for U.S. mainland youth. We also report lower Puerto Rican youth compliance to federal physical activity guidelines than is the case for mainland youth. Our findings also suggest a trends towards more male youth being overweight/obese than female youth. Children of obese parents were more likely to be overweight/obese themselves than those with desirable weight parents. Developers of policies and programs designed to prevent or reduce youth obesity in Puerto Rico would do well to take these correlates of obesity into account in design interventions tailored for specific subgroups and in designing future observational research.

LIMITATIONS

There are limitations that should be considered when interpreting these results. First, our findings are based on self-report rather than objective measures of height, weight, and physical activity. Studies have shown that parental reported weight and height may under-estimate true weight among girls and overestimate height in boys.46 Although typically obesity prevalence estimates derived from self-report are likely to be lower than they would be were objective measures available, they are nonetheless useful for tracking trends over time and for comparing Island estimates to comparable mainland estimates.47 Further, BMI-for-age percentile (based on self-reported height and weight) is a proxy measure of weight status, correlates with body fat, and is recommended for assessing weight status in youth ages 2–20.48,49 Similarly, while it is not ideal to base physical activity prevalence estimates on self-report measures because of the potential for inaccuracy and bias, self-report was the only feasible validated approach for the present study.50 The composite physical activity measure employed has been shown previously to provide a reliable estimate of adolescents’ physical activity behavior and to correlate significantly with an objective measure of physical activity.29,50 Finally, it is important to note that wave three of the ADA study stratified the selection of subjects based on the youth’s asthma and anxiety and depression statuses in wave two; however, we accounted for this stratification in the analyses using sampling weights. Given the limited state of the literature on this topic within the population, we believe that our new weighted, population-based data provide insight into the occurrence of obesity and MVPA among Puerto Rican island youth.

Acknowledgements

The authors thank Dr Carlos Toro for analyzing our census sample data and Pedro Garcia and Dr. Rafael Ramirez for conducting the statistical analyses. This study was supported by grant R01 MH069849 funded by National Institute of Mental Health (NIMH), R25 RR17589 funded by the National Center for Research Resources (NCRR), P50 HL105188 funded by the National Heart, Lung and Blood Institute (NHLBI) and 5P60 MD002261-02 funded by the National Center on Minority Health and Health Disparities (NCMHHD).

Footnotes

None of the authors have a conflict of interest.

REFERENCES

  • 1.Bray GA, Bellanger T. Epidemiology, trends, and morbidities of obesity and the metabolic syndrome. Endocrine. 2006;29(1):109–117. doi: 10.1385/ENDO:29:1:109. [DOI] [PubMed] [Google Scholar]
  • 2.Wang Y, Lobstein T. Worldwide trends in childhood overweight and obesity. International Int J Pediatr Obes. 2006;1(1):11–25. doi: 10.1080/17477160600586747. [DOI] [PubMed] [Google Scholar]
  • 3.Haslam DW, James WPT. Obesity. Lancet. 2005;366(9492):1197–1209. doi: 10.1016/S0140-6736(05)67483-1. [DOI] [PubMed] [Google Scholar]
  • 4.Dietz WH. Critical periods in childhood for the development of obesity. Am J Clin Nutr. 1994;59(5):955–959. doi: 10.1093/ajcn/59.5.955. [DOI] [PubMed] [Google Scholar]
  • 5.Power C, Lake JK, Cole TJ. Measurement and long-term health risks of child and adolescent fatness. Int J Obes Relat Metab Disord. 1997;21(7):507–526. doi: 10.1038/sj.ijo.0800454. [DOI] [PubMed] [Google Scholar]
  • 6.Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: public-health crisis, common sense cure. Lancet. 2002;360(9331):473–482. doi: 10.1016/S0140-6736(02)09678-2. [DOI] [PubMed] [Google Scholar]
  • 7.Eaton DK, Kann L, Kinchen S, et al. Youth Risk Behavior Surveillance-United States. J Sch Health. 2006;76(7):353–372. doi: 10.1111/j.1746-1561.2006.00127.x. [DOI] [PubMed] [Google Scholar]
  • 8.Brodersen NH, Steptoe A, Boniface DR, Wardle J. Trends in physical activity and sedentary behavior in adolescence: ethnic and socioeconomic differences. Br J Sports Med. 2007;41(3):140–144. doi: 10.1136/bjsm.2006.031138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Whitt-Glover MC, Taylor WC, Floyd MF, Yore MM, Yancey AK, Matthews CE. Disparities in physical activity and sedentary behaviors among US children and adolescents: prevalence, correlates, and intervention implications. J Public Health Policy. 2009;30:309–334. doi: 10.1057/jphp.2008.46. [DOI] [PubMed] [Google Scholar]
  • 10.Roberts CK, Freed BA, McCarthy WJ. Low aerobic fitness and obesity are associated with lower standardized test scores in children. J Pediatr. 2010;156(5):711–718. doi: 10.1016/j.jpeds.2009.11.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Associated Press. [Last accessed October 12, 2009];Big trouble in little Puerto Rico: Obese kids - Governor preparing to declare childhood obesity an island-wide emergency. 2007 Available at http://www.msnbc.msn.com/id/18768818/
  • 12.Otero-González M, García-Fragoso L. Prevalence of overweight and obesity in a group of children between the ages of 2 to 12 years old in Puerto Rico. P R Health Sci J. 2008;27(2):159–161. [PubMed] [Google Scholar]
  • 13.Stettler N, Elliot MR, Kallan MJ, Auerbach SB, Kumanyika SK. High prevalence of overweight among pediatric users of community health centers. Pediatrics. 2005;116(3):381–388. doi: 10.1542/peds.2005-0104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Venegas HL, Pérez CM, Suárez EL, Guzmán M. Prevalence of obesity and its association with blood pressure, serum lipids, and selected lifestyles in a Puerto Rican population of adolescents 12–16 years of age. P R Health Sci J. 2003;22(2):137–143. [PubMed] [Google Scholar]
  • 15.Centers for Disease Control and Prevention. Youth Risk Behavior Survey. [Last accessed October 12, 2009];Puerto Rico vs. United States Physical Activity. 2005 Available at http://www.cdc.gov/healthyyouth/yrbs/index.htm.
  • 16.Centers for Disease Control and Prevention. [Last accessed December 23, 2010];Youth Risk Behavior Survey. 2009 Available at: http://apps.nccd.cdc.gov/youthonline/App/Default.aspx?SID=HS.
  • 17.Strong WB, Malina RM, Blimkie CJ, et al. Evidence based physical activity for school-age youth. J Pediatr. 2005;146(6):732–737. doi: 10.1016/j.jpeds.2005.01.055. [DOI] [PubMed] [Google Scholar]
  • 18.U.S. Department of Agriculture (USDA) Dietary Guidelines for Americans. U.S. D. o. A. (USDA) 2005:42. [Google Scholar]
  • 19.U.S. Department of Health and Human Services. [Last accessed: November 21, 2009];Physical Activity Guidelines for Americans. Available at http://www.health.gov/paguidelines/pdf/paguide.pdf.
  • 20.Estadísticas de Salud en Puerto Rico (Puerto Rico Health Statistics) [Last accessed: December 10, 2009];Tendenciaspr.com. Available at http://www.tendenciaspr.com/Salud/Salud.html#anchor_319.
  • 21.Ho GYF, Qian H, Kim MY, et al. Health disparities between island and mainland Puerto Ricans. Rev Panam Salud Publica. 2006;19(5):331–339. doi: 10.1590/s1020-49892006000500006. [DOI] [PubMed] [Google Scholar]
  • 22.Centers for Disease Control and Prevention. [Last accessed December 23, 2010];Behavior Risk Factor Surveillance System. 2009 Available at: http://www.cdc.gov/BRFSS/ [Google Scholar]
  • 23.Canino G, Shrout PE, Rubio-Stipec M, et al. The DSM-IV rates of child and adolescent disorders in Puerto Rico: prevalence, correlates, service use, and the effects of impairment. Arch Gen Psychiatry. 2004;61(1):85–93. doi: 10.1001/archpsyc.61.1.85. [DOI] [PubMed] [Google Scholar]
  • 24.Feldman JM, Ortega AN, McQuaid EL, Canino G. Comorbidity between asthma attacks and internalizing disorders among Puerto Rican children at one-year follow-up. Psychosomatics. 2006;47(4):333–339. doi: 10.1176/appi.psy.47.4.333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Miech RA, Kumanyika SK, Stettler N, Link BG, Phelan JC, Chang VW. Trends in the association of poverty with overweight among US adolescents, 1971–2004. JAMA. 2006;295(20):2385–2393. doi: 10.1001/jama.295.20.2385. [DOI] [PubMed] [Google Scholar]
  • 26.Wang Y, Beydoun MA. The obesity epidemic in the United States – gender, age, socioeconomic, racial/ethnic, and geographic characteristics: A systematic review and meta-regression analysis". Epidemiol Rev. 2007;29:6–28. doi: 10.1093/epirev/mxm007. [DOI] [PubMed] [Google Scholar]
  • 27.Centers for Disease Control and Prevention. [Last accessed: November 1, 2009];Healthy Weight – it's not a diet, it's a lifestyle! Body Mass Index. Available at http://www.cdc.gov/healthyweight/assessing/bmi/
  • 28.Centers for Disease Control and Prevention. [Last accessed: January 14, 2010];Growth Charts. Available at http://www.cdc.gov/growthcharts/percentile_data_files.htm.
  • 29.Prochaska JJ, Sallis JF, Long B. A physical activity screening measure for use with adolescents in primary care. Arch Pediatr Adolesc Med. 2001;155(5):554–559. doi: 10.1001/archpedi.155.5.554. [DOI] [PubMed] [Google Scholar]
  • 30.Research Triangle Institute: SUDDAN Software for the Statistical Analysis of Correlated Data. Research Triangle Park, N.C. 2002 [Google Scholar]
  • 31.Gore S, Aseltine RH, Jr, Colton ME. Social structure, life stress and depressive symptoms in a high school-aged population. J Health Soc Behav. 1992;33(2):97–113. [PubMed] [Google Scholar]
  • 32.Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of High Body Mass Index in US Children and Adolescents, 2007–2008. JAMA. 2010;303(3):242–249. doi: 10.1001/jama.2009.2012. [DOI] [PubMed] [Google Scholar]
  • 33.Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? Prev Med. 1993;22(2):167–177. doi: 10.1006/pmed.1993.1014. [DOI] [PubMed] [Google Scholar]
  • 34.Kuczmarski RJ, Ogden CL, Guo SS, et al. 2000 CDC growth charts for the United States: methods and development. National Center for Health Statistics. Vital Health Stat. 2002;11:246. [PubMed] [Google Scholar]
  • 35.Ogden CL, Kuczmarski RJ, Flegal KM, et al. Centers for Disease Control and Prevention 2000 Growth Charts for the United States: improvements to the 1977 National Center for Health Statistics version. Pediatrics. 2002;109(1):45–60. doi: 10.1542/peds.109.1.45. [DOI] [PubMed] [Google Scholar]
  • 36.Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999–2004. JAMA. 2006;295(13):1549–1555. doi: 10.1001/jama.295.13.1549. [DOI] [PubMed] [Google Scholar]
  • 37.Bjornelv S, Lydersen S, Holmen J, et al. Sex differences in time trends for overweight and obesity in adolescents: the Young-HUNT study. Scand J Public Health. 2009;37(8):881–889. doi: 10.1177/1403494809347022. [DOI] [PubMed] [Google Scholar]
  • 38.Welcome to Puerto Rico. [Last accessed: February 2, 2011];welcome.topuertorico.org. Available at http://www.topuertorico.org/economy.shtml.
  • 39.Lake JK, Power C, Cole TJ. Child to adult body mass index in the 1958 British birth cohort: associations with parental obesity. Arch Dis Child. 1997;77(5):376–381. doi: 10.1136/adc.77.5.376. [DOI] [PubMed] [Google Scholar]
  • 40.Davey Smith G, Steer C, Leary S, Ness A. Is there an intrauterine influence on obesity? evidence from parent child associations in the Avon Longitudinal Study of Parents and Children (ALSPAC) Arch Dis Child. 2007;92(10):876–880. doi: 10.1136/adc.2006.104869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Lawlor DA, Timpson NJ, Harbord RM, et al. Exploring the developmental overnutrition hypothesis using parental-offspring associations and FTO as an instrumental variable. PLoS Med. 2008;5(3):e33. doi: 10.1371/journal.pmed.0050033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Danielzik S, Langnase K, Mast M, Spethmann C, Muller MJ. Impact of parental BMI on the manifestation of overweight 5–7 year old children. Eur J Nutr. 2002;41(3):132–138. doi: 10.1007/s00394-002-0367-1. [DOI] [PubMed] [Google Scholar]
  • 43.Lawlor DA, Smith GD, O’Callaghan MJ, et al. Epidemiologic evidence for the fetal overnutrition hypothesis: findings from the mater-university study of pregnancy and its outcomes. Am J Epidemiol. 2007;165(4):418–424. doi: 10.1093/aje/kwk030. [DOI] [PubMed] [Google Scholar]
  • 44.Kivimaki M, Lawlor DA, Smith GD, et al. Substantial intergenerational increases in body mass index are not explained by the fetal overnutrition hypothesis: the cardiovascular risk in young Finns study. Am J Clin Nutr. 2007;86(5):1509–1514. doi: 10.1093/ajcn/86.5.1509. [DOI] [PubMed] [Google Scholar]
  • 45.Sekine M, Yamagami T, Hamanishi S, et al. Parental obesity, lifestyle factors and obesity in preschool children: results of the Toyama Birth Cohort study. J Epidemiol. 2002;12(1):33–39. doi: 10.2188/jea.12.33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Dhaliwal SS, Howat P, Bejoy T, Welborn TA. Self-reported weight and height for evaluating obesity control programs. Am J Health Behav. 2010;34(4):489–499. doi: 10.5993/ajhb.34.4.10. [DOI] [PubMed] [Google Scholar]
  • 47.Sherry B, Jefferds ME, Grummer-Strawn LM. Accuracy of adolescent self-report of height and weight in assessing overweight status: a literature review. Arch Pediatr Adolesc Med. 2007;161(12):1154–1161. doi: 10.1001/archpedi.161.12.1154. [DOI] [PubMed] [Google Scholar]
  • 48.Krebs NF, Himes JH, Jacobson D, et al. Assessment of child and adolescent overweight and obesity. Pediatrics. 2007;120(4):193–228. doi: 10.1542/peds.2007-2329D. [DOI] [PubMed] [Google Scholar]
  • 49.Mei Z, Grummer-Strawn LM, Pietrobelli A, Goulding A, Goran MI, Dietz WH. Validity of body mass index compared with other body-composition screening indexes for assessment of body fatness in children and adolescents. Am J Clin Nutr. 2002;75(6):978–985. doi: 10.1093/ajcn/75.6.978. [DOI] [PubMed] [Google Scholar]
  • 50.Sallis JF, Taylor WC, Dowda M, Freedson PS, Pate RR. Correlates of vigorous physical activity for children in grades 1 through 12: comparing parent-reported and objectively measured physical activity. Pediatr. Exerc. Sci. 2002;14(1):30–44. [Google Scholar]

RESOURCES