Appendix D
Presentation of Findings
This appendix contains tables summarizing the committee’s review of the evidence. From the collection of 137 recent published reports (the selection of reports is described in Appendix C), associated manuals, protocols, training materials, and other intructions for directly measuring height and weight were identified. Tables D-1, D-2, and D-3 outline the height, weight, and data collector procedures, respectively, across 32 different protocols. Next, Tables D-4, D-5, and D-6 outline the different ways race and ethnicity, socioeconomic status, and age have been categorized and presented in the collection of recent published reports. Table D-7 summarizes the statistical approaches taken in the published reports to arrive at an estimate of prevalence, change, or trend, or assess differences between groups or other reports. Table D-8 presents a simulation demonstrating that the current FitnessGram’s®1 “Needs Improvement-Health Risk” cut points correspond to the 95th percentile on the 2000 Centers for Disease Control and Prevention (CDC) sex-specific body mass index (BMI)-for-age growth charts. Finally, references for all eight tables can be found at the end of this appendix.
___________________
1 The FitnessGram® was developed and is a registered trademark of The Cooper Institute®, Dallas, Texas.
LIST OF TABLES
- Table D-1 Examples of Protocols for Directly Measuring Height
- Table D-2 Examples of Protocols for Directly Measuring Weight
- Table D-3 Examples of Protocols for Data Collectors
- Table D-4 Race and Ethnicity Categories, as Presented in a Collection of Recent Published Reports
- Table D-5 Individual and Community-Level Socioeconomic Status (SES) Categories, as Presented in a Collection of Recent Published Reports
- Table D-6 Variables and Categories Related to Age, as Presented in a Collection of Recent Published Reports
- Table D-7 Summary of Statistical Approaches Taken in a Collection of Recent Published Reports
- Table D-8 2000 CDC Body Mass Index-for-Age Percentiles Corresponding to the 2015 FitnessGram’s® Needs Improvement-Health Risk (NI-HR) Cut Points, by Age and Sex
TABLE D-1 Examples of Protocols for Directly Measuring Height
Study or Data Sourcea | Reference | Stadiometer Type | Precision of Recorded Height | Number of Repetitions | Number of Contact Pointsb | Measured Without Shoes | Special Instructions |
---|---|---|---|---|---|---|---|
Add Health | >Entzel et al., 2009 | Portablec | 0.50 cm | 4 | X |
No hat, hair ornament, or other accessories that would affect measurement Measurement taken at the end of a normal exhalation |
|
Bogalusa Heart Study | BioLINCC, 2008 | Wall-mountedd | 0.10 cm | 3 | X |
In socks Flat hairstyles |
|
California FitnessGram® | FitnessGram, 2016 | Wall-mounted | 1.00 in | ||||
CARDIAC | Lilly et al., 2014 | Wall-mounted | X | ||||
CAYPOS | Kolbo et al., 2012 | Wall-mounted | 1.00 in | X |
No belts No jackets No heavy jewelry |
||
Child Health Measures Study | Brown et al., 2010 | Wall-mounted | 0.25 in | X |
No excess clothing |
||
Cincinnati Children’s Hospital | Crowley et al., 2011 | Wall-mounted | X | ||||
Medical Center Echocardiography Database |
Study or Data Sourcea | Reference | Stadiometer Type | Precision of Recorded Height | Number of Repetitions | Number of Contact Pointsb | Measured Without Shoes | Special Instructions |
---|---|---|---|---|---|---|---|
Community Alliance for Research and Engagement | Kallem et al., 2013e | Wall-mounted | |||||
Creating Healthy, Active and Nurturing Growing-up Environments | Tovar et al., 2012e | Portable | 0.30 cm (1/8 in) | 3 | |||
Early Childhood Longitudinal Survey-Birth Cohort | Najarian et al., 2010 | Portable | 2 | X |
Light clothing |
||
EAT-I, EAT-2010 | Larson et al., 2013f | Portable | 0.10 cm | ||||
Fels Longitudinal Study | Sun et al., 2012g | Portable | 0.10 cm | 2 | |||
HEALTH-KIDS | Wang et al., 2009 | Portable | 0.10 cm | 2 | X |
Light clothing |
|
Louisiana Health Control Participants | Williamson et al., 2011 | Portable | X |
Normal clothing No socks |
|||
Mississippi Delta Study | Gamble et al., 2012 | 1.00 cm | |||||
New York City FitnessGram® | New York City Departmemt of Education, 2016 | 0.30 cm (1/8 in) | X |
No hats or hairpieces |
NHANES | CDC, 2013a | Wall-mounted or Portable | 4 | X |
No hair ornaments, jewelry, buns, or braids on top of head Measurement taken on exhale Head aligned in horizontal planeh |
||
Ohio Schools | Ohio Department of Health, 2010 | Wall-mounted or Portable | 0.30 cm (1/8 in) | X |
No hats No bulky clothing Looking straight ahead |
||
Penn State Child Cohort | Bixler et al., 2008; Rodríguez-Colón et al., 2011 | Portable | 0.10 cm | X |
Light clothing |
||
Philadelphia Schools | Pennsylvania Department of Health, 2011 | Wall-mounted | 0.25 in or 0.10 cm | 4 if possible, minimum 2 | X |
No hats or hairpieces No bulky clothing Feet flat on the floor Head aligned in horizontal planeh |
|
Philadelphia Schools | Lawman et al., 2015 | Portable | 0.10 cm | 2i | X |
No bulky clothing No items in pockets |
|
Pine Ridge Reservation School-Based Assessment, 1998-2002 | Hearst et al., 2011 | Portable | 0.10 cm |
Study or Data Sourcea | Reference | Stadiometer Type | Precision of Recorded Height | Number of Repetitions | Number of Contact Pointsb | Measured Without Shoes | Special Instructions |
---|---|---|---|---|---|---|---|
South Dakota School-Based BMI Assessment | Hearst et al., 2013 | Wall-mounted | 0.10 cm | ||||
Special Olympics International Healthy Athletes Database | Special Olympics International, 2007 | Wall-mounted | 0.01 cm | 4 | X |
Feet flat on the floor |
|
Texas SPAN Study | Texas School Physical Activity and Nutrition (SPAN) Study, 2016 | Portable | 1.00 cm | 2 | X | ||
Not Specified | Acharya et al., 2011k | Wall-mounted | 0.10 cm | ||||
Not Specified | Huh et al., 2012 | Portable | 0.10 cm | 2 | 2 | X |
Head aligned in horizontal planeh |
Not Specified | Nafiu et al., 2014 | Wall-mounted | 0.10 cm | X |
Head aligned in horizontal planeh |
||
Not Specified | Rogozinski et al., 2007 | Wall-mountedl | |||||
Not Specified | Taylor et al., 2014 | Wall-mounted | 0.25 in |
NOTE: This table presents only information available given in the source study’s methods. If a general anthropometric measurement manual was referenced, it is noted in the footnotes; cm, centimeter; in, inch; all study and dataset acronyms are listed in Appendix A.
a The manuals and measurement protocolsin this table are from the data sources included in the committee’s review of recent reports. If the publication did not specifically name the data source that was used, but provided details about data collection protocol, it is labeled as “Not Specified” in the table.
b Common contact points with stadiometer include back of head, shoulder blades, buttocks, and heels.
c Carpenter’s square and steel tape measure used for measurement.
d Used both manual and electronic measuring board.
e Measurement protocol based on Economos et al., 2007. A community intervention reduces BMI z-score in children: Shape up Somerville first year results. Obesity (Silver Spring) 15(5):1325-1336 and Lohman, 1993. Advances in body composition assessment. Current Issues in Exercise Science (Monograph No. 3) 5(2):200-201.
f Measurement protocol based on Gibson, 1990. Principles of nutritional assessment. New York: Oxford University Press.
g Measurement protocol is based on Lohman, et al., 1988. Anthropometric standardization reference manual. Champaign, IL: Human Kinetics Books.
h Standardized measurement technique where a horizontal line drawn from the ear canal to the lower border of the orbit of the eye is parallel to the floor and perpendicular to the vertical backboard; also called the Frankfort horizontal plane.
i Duplicate measures required to be within 0.10 cm of each other.
j For individuals who were not able to stand, arm span was used as a proxy for height.
k Measurement protocol is based on Lohman et al., 1991. Anthropometric standardization reference manual: Abridged edition. Champaign, IL: Human Kinetics Books.
l For children who had difficulty standing fully erect because of weakness or knee flexion contractures, recumbent height was measured with use of a flexible tape measure.
TABLE D-2 Examples of Protocols for Directly Measuring Weight
Study or Data Sourcea | Reference | Scale Type | Precision of Recorded Weight | Number of Repetitions | Clothing Status of Participant | Special Instructions |
---|---|---|---|---|---|---|
Add Health | >Entzel et al., 2009 | Digitalb | 0.10 kg |
No shoes No change, wallets, keys in pockets |
||
Bogalusa Heart Study | BioLINCC, 2008 | Digital | 2 |
Short sleeve hospital gown Underpants Socks No shoes |
||
CARDIAC Project | Lilly et al., 2014 | Digital | No shoes | |||
CAYPOS | Kolbo et al., 2012 | Digitalc | 1.00 lb |
No belts No heavy jewelry No jackets No shoes |
||
Child Health Measures Study | Brown et al., 2010 | Digitald | 0.10 lb |
No shoes No excess clothing |
||
Cincinnati Children’s Hospital Medical Center Echocardiography Database | Crowley et al, 2011 | Not specifiedd |
Light street clothing No shoes |
|||
Community Alliance for Research and Engagement | Kallem et al., 2013 | Digital | 0.10 kge |
Creating Healthy, Active and Nurturing Growing-up Environments | Tovar et al., 2012f | Digital | 0.50 lb | 3 |
Light clothing No shoes |
|
EAT-I, EAT-2010 | Larson et al., 2013g | Beam or Electronicd | 0.10 kg | |||
ECLS-B | Najarian et al. 2010 | Digital | 2 |
Light clothing No shoes |
||
Fels Longitudinal Study | Sun et al., 2012h | Beam | 0.10 kg | 2 | ||
HEALTH-KIDS | Wang et al., 2009 | Electronic | 0.10 kg | 2 |
Light clothing No shoes |
|
Louisiana Health Control Participants | Williamson et al., 2011 | Digital |
Normal school clothing No shoes No socks |
|||
Mississippi Delta Study | Gamble et al., 2012 | Portable | ||||
New York City FitnessGram® | New York City Department of Education, 2016 | Digital Beam |
No shoes No heavy jackets |
|||
NHANES | CDC, 2013a | Digital, Portablei |
Standard examination gown, including slippers No shoes |
Small children Casts or prosthesis Wearing street clothes Exceeding scale’s capacity |
||
Ohio Schools | Ohio Department of Health, 2010 | Digital | 0.20 lb | 2 |
No shoes No bulky clothing |
Study or Data Sourcea | Reference | Scale Type | Precision of Recorded Weight | Number of Repetitions | Clothing Status of Participant | Special Instructions |
---|---|---|---|---|---|---|
Penn State Child Cohort | Bixler et al., 2008; Rodríguez-Colón et al., 2011 | Digitalj | 0.01 lb |
Light clothing No shoes |
||
Philadelphia Schools | Robbins et al., 2012 | Digital, Beam, Diald | 0.25 lb |
Light clothing No shoes No jackets Empty pockets |
Note special devices worn (e.g., prosthesis) |
|
Philadelphia Schools | Lawman et al., 2015 | Digital | 0.20 kg | 2k |
No shoes No excess clothing Empty pockets |
|
Pine Ridge Reservation School-Based Assessment | Hearst et al., 2011 | Balance | 0.10 lb | |||
South Dakota School-Based BMI Assessment | Hearst et al., 2013 | Beam | 0.10 lb | |||
Special Olympics International Healthy Athletes Database | Special Olympics International, 2007 | Digital, Beamd | 0.10 kg |
No shoes No sports packs No jackets or other bulky items |
Weighing individuals in wheelchairs |
|
Texas SPAN Study | SPAN Study, 2016 | Digitald | 0.25 lb | 2 |
No shoes No jacket No heavy clothing Empty pockets |
Not Specified | Acharya et al., 2011l | Electronic | 0.10 kg | |||
Not Specified | Huh et al., 2012 | Digital | 0.10 kg | 2 |
Light clothing No shoes No coat |
|
Not Specified | Nafiu et al, 2014 | Electronicd | 0.10 kg |
Hospital gowns |
||
Not Specified | Rogozinski et al., 2007 | Beam, force platform | ||||
Not Specified | Taylor et al., 2014 | Beam | 0.25 lb |
NOTE: This table presents only information available given in the source study’s methods. If a general anthropometric measurement manual was referenced, it is noted in the footnotes; kg, kilogram; lb, pound; all study and dataset acronyms are listed in Appendix A.
a The manuals and measurement protocols in this table are from the data sources included in the committee’s review of recent reports. If the publication did not specifically name the data source that was used, but provided details about data collection protocol, it is labeled as “Not Specified” in the table.
b Calibrated weekly.
c Calibrated after every 10th measurement.
d “Calibrated.”
e Measurement protocol based on World Health Organization, 2008. STEPS surveillance manual. Geneva: World Health Organization.
f Measurement protocol based on Economos et al., 2007. A community intervention reduces BMI z-score in children: Shape up Somerville first year results. Obesity (Silver Spring) 15(5):1325-1336 and Lohman, 1993. Advances in body composition assessment. Current Issues in Exercise Science (Monograph No. 3) 5(2):200-201.
g Measurement protocol based on Gibson, 1990. Principles of nutritional assessment. New York: Oxford University Press.
h Measurement protocol is based on Lohman, et al., 1988. Anthropometric standardization reference manual. Champaign, IL: Human Kinetics Books.
i Portable scales were used in cases of power outage, malfunction of primary scale, or individuals over 440 pounds maximum weight. In the case of individuals over 440 pounds, two scales were used to determine weight.
j Calibrated daily.
k Duplicate measurements must be within 0.2 kg of each other.
l Measurement protocol is based on Lohman, et al., 1991. Anthropometric standardization reference manual: Abridged edition. Champaign, IL: Human Kinetics Books.
TABLE D-3 Examples of Protocols for Data Collectors
Study or Data Source Namea | Reference | Position of the Data Collector | Data Collector Received Training | Data Entry Method |
---|---|---|---|---|
Add Health, Wave IV | >Entzel et al., 2009 | Interviewer | Hand-written values on Post-it note; later entered into a computer | |
Anchorage and Matanuska-Susitna Borough School Districts, Alaska | CDC, 2013b | School nurse | ||
California FitnessGram® | Madsen et al., 2010 | Physical Fitness Test coordinators, teachers, and other local educational agency staff | Xb | |
CAYPOS | Kolbo et al., 2012 | School nurse | Direct entry to a secure website | |
Chicago school-based, environmental obesity prevention program in low-income African American adolescents | Wang et al., 2009 | Research staff | X | |
Child Health Measures Study | Brown et al., 2010 | Staff | X | |
Community Alliance for Research and Engagement | Kallem et al., 2013 | Research assistants | X | |
Control Group from the MOVE Projectc | Carlson et al., 2012 | Staff | X | |
Creating Healthy, Active and Nurturing Growing-up Environments | Tovar et al., 2012 | Staff | X | |
ECLS-B | Najarian et al. 2010 | Interviewer | X | Hand-written in Child Assessment Booklet and entered into computer-based system |
Study or Data Source Namea | Reference | Position of the Data Collector | Data Collector Received Training | Data Entry Method |
---|---|---|---|---|
Fels Longitudinal Study | Sun et al., 2012 | Researchers | ||
Head Start | Simmons et al., 2012 | Teachers and assistants | X | |
Health e-Tools for Schools, Pennsylvania | Lohrmann, 2014; YoussefAgha et al., 2013 | School nurse | ||
New York City FitnessGram® | Rundle et al., 2012 | Physical education teachers | Xd | Hand-written; later entry into a Web-based systeme |
NHANES | CDC, 2013a | Examiner and recorder | Direct entry into ISISf | |
Ohio Schools | Ohio Department of Health, 2010 | Volunteer health care professionals | X | |
Penn State Child Cohort | Rodríguez-Colón et al., 2011 | Research staff | ||
Philadelphia Schools | Lawman et al., 2015 | Research assistants | X | |
Philadelphia Schools | Pennsylvania Department of Health, 2011 | School nurse | Direct entry to a secure school district database | |
Pine Ridge Reservation School-Based Assessment | Hearst et al., 2011 | Research staff | Xg | |
South Dakota School-Based BMI Assessment | Hearst et al., 2013 | Staff including school nurses and physical education or health teachers | X |
Study or Data Source Namea | Reference | Position of the Data Collector | Data Collector Received Training | Data Entry Method |
---|---|---|---|---|
Special Olympics International Healthy Athletes Database | Special Olympics International, 2007 | Trained Special Olympics volunteer clinicians (e.g., nurses, doctors, dieticians) | X | Hand-written on athlete’s individual sheet |
Texas SPAN Study | Ezendam, 2011 | Study staff or state or county personnel | Hand-written directly on student’s questionnaire form | |
The Tucson Children’s Assessment of Sleep Apnea Study | Goodwin et al., 2001 | Research staff (two-person team) | ||
Not Specified | Acharya et al., 2011 | Interviewer | ||
Not Specified | Huh et al., 2012 | Research assistants | ||
Not Specified | Nafiu et al., 2014 | Research assistants | X | |
Not Specified | Taylor et al., 2014 | Nursing students enrolled in community health course | X |
NOTE: All study and dataset acronyms are listed in Appendix A.
a The manuals and measurement protocols in this table are from the data sources included in the committee’s review of recent reports. If the publication did not specifically name the data source that was used, but provided details about data collection protocol, it is labeled as “Not Specified” in the table.
b Schools have the option of participating in training and purchasing equipment for the FitnessGram®; however, documentation of school participation in training is not available.
c The MOVE Project is a 12-month childhood obesity prevention program with a 24-month follow-up.
d Training received through an NYC DOE-sponsored workshop, with additional reference material posted online.
e System has built-in validation features that alert the teacher to possible data entry errors.
f Integrated Survey Information System.
g Staff were trained by a public health nurse and Indian Health Service physician.
TABLE D-4 Race and Ethnicity Categories, as Presented in a Collection of Recent Published Reports
Race and Ethnicity Categories | Reference |
---|---|
One Category | |
African American | Chen and Wang, 2012; Reed et al., 2013 |
American Indian | Arcan et al., 2012 |
American Indian (% Indian Heritage) | Hearst et al., 2011 |
Caucasian | Johnson et al., 2012, 2013; Sun et al., 2012; von Hippel and Nahhas, 2013 |
Mexican American | Warner et al., 2013 |
Two Categories | |
African American/Black; White | Broyles et al., 2010; Freedman et al., 2012; Halloran et al., 2012; Kolbo et al., 2012; Molaison et al., 2010; Staiano et al., 2013; Williamson et al., 2011; Zhang et al., 2014 |
Native American; Other (not specified) | Brown et al., 2010 |
American Indian; Non-Hispanic White | Hearst et al., 2013 |
White/Caucasian; Non-White | Adams et al., 2008; Kolbo et al., 2008; Rodríguez-Colón et al., 2011 |
Non-Hispanic White; Non-White | Nader et al., 2014 |
White/Non-Whitea | Bailey-Davis et al., 2012 |
Three Categories | |
American Indian/Alaskan Native; Non-Hispanic White; All Other | CDC, 2013b |
Mexicans; Mexican immigrants; Mexican Americans | Hernandez-Valero et al., 2012 |
Mexican American (U.S. born); Non-Hispanic Black; Non-Hispanic White | Robinson et al., 2013b |
Mexican American; Non-Hispanic Black; Non-Hispanic White | Din-Dzietham et al., 2007b; Freedman et al., 2006b; Ogden et al., 2006b; Okosun et al., 2010b; ver Ploeg et al., 2008b |
Black; Hispanic; White | Acharya et al., 2011 |
Black; White; Other | Hsu et al., 2007 |
Four Categories | |
(Non-Hispanic) Blackc; (Non-Hispanic) Whitec; Mexican-Americand; Otherd | Lee et al., 2010b |
Race and Ethnicity Categories | Reference |
---|---|
African American; Latino; White; Other | Huang et al., 2013 |
African American; Latino; Non-Hispanic White; Other | Kim, 2012 |
African American/Black; Hispanic; White; Other | Benson et al., 2009, 2011; Skinner et al., 2015b; Tovar et al., 2012 |
Asian-American (Chinese, Filipino, Other Asian); Hispanic (Cuban, Puerto Rican, Central/South American, Mexican, Other Hispanic); Non-Hispanic Black; Non-Hispanic White | Gordon-Larsen et al., 2010 |
Mexican American; Non-Hispanic Black; Non-Hispanic White; Other | Skelton et al., 2009b; Wang and Zhang, 2006b; Wang et al., 2012b |
Mexican American; Non-Hispanic Black; Non-Hispanic White; Otherd | Rossen and Schoendorf, 2012b |
Mexican Americand; Non-Hispanic Black; Non-Hispanic White; Other Hispanicd | Murasko, 2011b |
Hispanic (includes Mexican American); Mexican American; Non-Hispanic Black; Non-Hispanic White | Ogden et al., 2012b |
Hispanicd; Non-Hispanic Black; Non-Hispanic White; Otherd | Lee et al., 2011 |
Hispanic/Mexican Americane; Non-Hispanic Black; Non-Hispanic White; Other | Skinner and Skelton, 2014b |
Hispanic; Non-Hispanic Black; Non-Hispanic White; Non-Hispanic Other | Oza-Frank et al., 2013; Taber et al., 2012 |
Hispanic; Non-Hispanic Black; Non-Hispanic White; Other | Sekhobo et al., 2010f |
Five Categories | |
African American; Asian; Caucasian; Hispanic; Unknownd | Shustak et al., 2012 |
African American; Black Caribbean; Black Hispanic; Hispanic White; White | Saab et al., 2011 |
African American; Asian; Hispanic; Non-Hispanic White; Other | Lawman et al., 2015; Robbins et al., 2012 |
American Indian/Alaska Native; Asian/Pacific Islander; Hispanic; Non-Hispanic Black; Non-Hispanic White | CDC, 2009f; Hinkle et al., 2012; Pan et al., 2012f |
Asian; Black; Hispanic; White; Other | Rundle et al., 2012; Wen et al., 2012 |
Asian/Pacific Islander; Black; Hispanic; White; Other/Unknownd | Lo et al., 2014 |
Race and Ethnicity Categories | Reference |
---|---|
Asian/Pacific Islander; Hispanic; Non-Hispanic Black; Non-Hispanic White; Other (including multiple races) | Day et al., 2014 |
Hispanic; Black; White; Other (includes American Indian, Alaska Native, Asian, Native Hawaiian or other Pacific Islander, or Mixed); Missing | Eaton et al., 2008,g 2010,g 2012g; Kann et al., 2014g |
Hispanic-Mexican American; Hispanic-Other; Non-Hispanic Black; Non-Hispanic White; Other | Khoury et al., 2013b; Trasande et al., 2012b |
Hispanic; Native American; Non-Hispanic Asian; Non-Hispanic Black; Non-Hispanic White | Harris et al., 2006 |
Hispanic; Non-Hispanic Asian; Non-Hispanic Black; Non-Hispanic White; Non-Hispanic Other/Multipled | Ogden et al., 2014b |
Six or More Categories | |
African American; American Indian; Asian; Latino; White; Mixed Races or Other | Babey et al., 2010 |
African American; Asian/Pacific Islander; European American; Latinah; Native American; Other/Mixedd | Huh et al., 2012 |
African American; American Indian/Alaska Native; Asian; Filipino; Hispanic/Latino; Pacific Islander/Native Hawaiian; White; Two or More Races | Jin and Jones-Smith, 2015 |
African American; American Indian/Alaskan Native; Asiani; Filipinoi; Hispanic/Latino; Pacific Islanderi; Non-Hispanic White | Madsen et al., 2010 |
African American; American Indian/Alaskan Native; Asiand; Hispanic; Multiraciald; Native Hawaiian/Pacific Islanderd; White | Weedn et al., 2014 |
African/African American; American Native/Alaska Native; Asian/Asian American; Filipino/Filipino American; Hispanic; Pacific Islander; White | Aryana et al., 2012 |
African-American; Asian; Latino; Dominican; Mexican; Puerto Rican; Other Latino; White; Other | Stingone et al., 2011 |
American Indian/Native Alaskan; Asian/Pacific Islander; Hispanic; Non-Hispanic Black; Non-Hispanic White; Other/Unknown | Hruby et al., 2015 |
Race and Ethnicity Categories | Reference |
---|---|
Asian; Black; Hispanic/Latino; White; Other; Unknown | Gee et al., 2013 |
Asian; Black; Hispanic; Native American; White; Other/Mixed (includes those who identified as Hawaiian or Pacific Islander) | Neumark-Sztainer et al., 2012b |
Asian/Pacific Islander; Black; Non-Hispanic White; White Hispanic; Other or Multiple; Unknownd | Christensen et al., 2013 |
Asian/Part Asian; Filipino; Hawaiian/Part Hawaiian; Pacific Islander; White; Other (Hispanic, Black, other) | Stark et al., 2011 |
NOTE: Table does not include reports where race/ethnicity was only presented as demographics table or adjusted for in statistical models. Reports listed in the table are individual reports. There is repetition of datasets.
a Estimates were generated for school districts with a population above and below the median for percent non-white.
b Primary dataset was NHANES.
c Dichotomized as “White” and “Black” in NHANES 1971-1975, 1976-1980.
d Presented in aggregate estimates, but did not have estimate separate from other racial/ethnic groups.
e Claims to have categorized “Mexican American” and “other Hispanics” in separate groups in the methods section, but results are presented as “Hispanic.”
f Primary dataset was PedNSS.
g Primary dataset was YRBS; the number of participating states and cities varies with each YRBS cycle.
h Study only included females.
i To protect the confidentiality of students, those responding “Pacific Islander” or “Filipino” were collapsed into the “Asian” category.
Measure of SES | Categories Presented in the Report | Reference |
---|---|---|
Measure of Individual SES Status | ||
Household Income, Gross Cutoffs | <$15,000, $15,000-$34,999, $35,000+ | Arcan et al., 2012 |
<$25,000, $25,000-$74,999, $75,000+ | Okosun et al., 2010 | |
<$15,999, $16,000-$23,999, $24,000-$31,999, $32,000+ | Adams et al., 2008 | |
<$9,999, $10,000-$29,999, $30,000-$49,999, $50,000+, Missing | Reed et al., 2013a | |
<$20,000, $20,000-$39,999, $40,000-$74,999, $75,000+ | Stingone et al., 2011 | |
Household Income, Percent of Federal Poverty Level (FPL) | 0-99%,100-199%, 200-399%, 400%+ | Kim et al., 2011; Rossen and Schoendorf, 2012a,b |
0-199%, 200%+ | Holtby et al., 2015; Kim, 2012 | |
0-100%, 100-300%, 300%+ | Babey et al., 2010; Wang et al., 2012 | |
0-130%, 130-350%, 350%+ | Fakhouri et al., 2013 | |
0-130%, 130-300%, 300%+ | Ver Ploeg et al., 2008c | |
0-185%, 185-300%, 300%+ | Ver Ploeg et al., 2008c | |
Household Income, Poverty-to-Income Ratio (PIR) | Study sample divided into tertiles based on PIR distribution | Wang and Zhang, 2006a |
Study sample divided into quartiles based on PIR distribution | Trasande et al., 2012a | |
PIR <1, PIR >1 | Lalwani et al., 2013 | |
PIR <1, PIR >4 | Murasko, 2011 | |
PIR <1, 1 to 3, >3 | Skelton et al., 2009a | |
PIR <1 to <2, 2 to <4, >4 | Li et al., 2012 | |
PIR calculated, no further grouping | Sekhobo et al., 2014 |
Measure of SES | Categories Presented in the Report | Reference |
---|---|---|
Highest Education Level Attained by Either Parent/Caregiver | Less than high school, High school, Greater than high school | Kim, 2012a |
Less than high school, High school graduate, Greater than high school, College or greater | Suglia et al., 2014 | |
Less than high school, Some high school, High school graduate or GED, Some college, College graduate or greater | Trasande et al., 2012d | |
Grade school graduate, Some high school, High school graduate, Some college, Advanced degree | Huh et al., 2012 | |
Maternal Education Level | Less than high school graduate, High school graduate or greater | Kim et al., 2011 |
Less than high school, Some high school, High school graduate | Lemay et al., 2008 | |
Less than high school, High school graduate, Some college, College/graduate school | Tovar et al., 2012a | |
Categorized as high, average, or low based on expected years of education at reported age | Halloran et al., 2012 | |
Parent or Caregiver’s Education Level (not specified further) | No college degree, College degree or more | Carlson et al., 2012 |
Less than high school, High school diploma/GED, Some college, College degree | Stingone et al., 2011 | |
Eligibility for Free or Reduced-Price Lunch | Eligible for free or reduced lunch (yes/no) | Day et al., 2014; Jin and Jones-Smith, 2015a; Kallem et al., 2013; Robbins et al., 2012; Rundle et al., 2012 |
Insurance Type | Medicaid/public, non-Medicaid/private | Black et al., 2012e; Christensen et al., 2013e; Demment et al., 2014a,f; Halloran et al., 2012; Lemay et al., 2008; Stark et al., 2011a; Wen et al., 2012 |
Measure of SES | Categories Presented in the Report | Reference |
---|---|---|
Participitation in an Assistance Program | Head Start enrollment | Acharya et al., 2011g |
Head Start enrollment and SNAP participation | Simmons et al., 2012g | |
WIC participation | CDC, 2009g; Davis et al., 2014g; Hinkle et al., 2012g; Sekhobo et al., 2010,g 2014g; Weedn et al., 2014g | |
WIC or SNAP enrollment | Ver Ploeg et al., 2008 | |
Participation in any assistance program | CDC, 2013cg; Murasko, 2011g | |
Eligibility for any assistance program | Reed et al., 2013; Tovar et al., 2012 | |
Perception of Neighborhood as Safe | Neighborhood perceived as safe (yes/no) | Kim et al., 2011 |
Measure of Community-Level SES Status | ||
Eligibility for Free or Reduced-Price School Meals | Percentage of students eligible for free or reduced-price school meals | Sanchez-Vaznaugh et al., 2015 |
Percentage of students receiving free or reduced-price lunch | CDC, 2013ba,h, Oza-Frank et al., 2013a; Rundle et al., 2012 | |
Racial/Ethnic Population | Greater or less than 70% black, greater or less than 70% Hispanic students in schools | Rundle et al., 2012 |
Percentage black and percentage white in county | Gamble et al., 2012 | |
Percentage of non-white population in school district | Bailey-Davis et al., 2012a | |
Mean Neighborhood Income, Gross Cutoffs | <$15,000, $15,000-$34,999, $35,000-$49,999, $50,000-$74,999, $75,000-$99,999, $100,000-$149,999, $150,000+ | Black et al., 2012 |
Mean Neighborhood Income, Percent of FPL | Percent of households living below federal poverty line | Day et al., 2014i, Gamble et al., 2012; Taylor et al., 2014; Warner et al., 2013 |
Median Neighborhood Income | Study sample grouped into income tertiles based on annual median income in the census tract | Sanchez-Vaznaugh et al., 2015a |
Measure of SES | Categories Presented in the Report | Reference |
---|---|---|
Neighborhood Education Level | Percentage of adults 25 years and older with 16 or more years of education | Sanchez-Vaznaugh et al., 2015a |
Percentage of adults 25 years and older with less than high school education | Taylor et al., 2014 | |
Less than high school, High school graduate, Some college or associated degree, Bachelor’s degree or higher | Black et al., 2012; Langer-Gould et al., 2013 | |
Less than high school, High school graduate, Some college or associated degree, Bachelor’s degree, Graduate or professional degree | Christensen et al., 2013 | |
Other SES Assessmentsj | Participant residence in low-risk areas (those with Dept. of Public Health Office) versus high-risk areas (those without Dept. Public Health Office) | Sekhobo et al., 2014 |
Participant residence in a socioeconomically distressed neighborhood | Spilsbury et al., 2015 | |
Participant residence classified by a neighborhood deprivation index | Hearst et al., 2011a | |
School district distress index | Bailey-Davis et al., 2012a | |
Percentage of economically disadvantaged students in school (based on eligibility for free/reduced lunch, income below FPL, or other assistance program) | Ezendam et al., 2011 |
NOTE: Individual studies identified in literature search are represented in the table. Datasets are repeated across presented published reports. Reports often use multiple variables, SES or otherwise, in combination with each other.
a Obesity prevalence or trend estimate was reported for these subgroup, rather than only being a demographic characteristic.
b Actual cutoffs for this study were 0-100% FPL, 101-200% FPL, 201-400% FPL, >400% FPL.
c Percent of FPL was used only in cases where study participants were income eligible but non-participants in assistance programs.
d In the analysis, this variable was dichotomized to “some college and more” versus “no college.”
e Used Medi-Cal in addition to Medicaid.
f Used Child Health Plus in addition to Medicaid.
g Study population only included those participating in the specificed assistance program.
h Schools subdivided further into 2 groups: less than 50% of students receiving free/reduced lunch and more than 50% of students receiving free/reduced lunch.
i Study population groupings were <10%, 10% to <20%, 20% to <30%, ≥30%.
j Refers to a standardized assessment, usually based on a combination of factors, used to better capture unique populations and fit study goals.
Measure of Age | Categories Presented in the Report | Reference |
---|---|---|
Age (years) |
0.75 (9 months), 2, 4, 5-6 |
|
2, 3, 4 | ||
3, 4, 5 | ||
7 | ||
10, 11, 12 | ||
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 |
||
<14, 15, 16, 17+ | ||
14, 15, 16, 17, 18, 19 | ||
18 | ||
Age Groups (years) | 0-5 | |
0-<0.5, 0.5-<1, 1-<2, 2-<3, 3-<6 |
||
1-16 | ||
1-18, 19+ | ||
2-4 | ||
2-4, 5-9, 10-14, 15-19 | ||
2-4, 5-19 | ||
2 to <5 | ||
2-5 | ||
2-5, 6-11, 12-17, 18+ | ||
2-5, 6-11, 12-17 | ||
2-5, 6-11, 12-18 | ||
2-5, 6-11, 12-19 |
Gee et al., 2013; Ogden et al., 2006, 2012,b 2014; Shustak et al., 2012; Wang et al., 2012b |
|
2-9, 10-18 | ||
2-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79 |
||
2-10 (2-3, 4-5, 6-10) |
||
2-11, 12-19 | ||
2-15 | ||
2-17, 18+ | ||
2-18 |
Benson et al., 2009, 2011; Johnson et al., 2012; Nader et al., 2014; Rossen and Schoendorf, 2012 |
Measure of Age | Categories Presented in the Report | Reference |
---|---|---|
2-19 | ||
3-4 | ||
3-5 | ||
3-5, 6-8, 9-11, 12-14, 15-19 |
||
3-18 | ||
3-19 (3-5, 6-11, 12-19) |
||
5-6, 7-8, 9-10, 11-12, 13-14, 15-16, 17-18 |
||
5-6, 7-10, 11-14 | ||
5-8, 9-11, 12-14, 15+ |
||
5-8.9, 9-11.9, 12-14.9, 15-19.9 |
||
5-9, 10-14, 15-19 | ||
5-9, 10-14 | ||
5-12 | ||
5-17 | ||
5-18 | ||
6-8, 9-11 | ||
6-9 | ||
6-10, 11-14, 15-19 | ||
6-11 |
Archbold et al., 2012; Gamble et al., 2012; Tovar et al., 2012 |
|
6-11, 12-18 | ||
6-11, 12-19 | ||
6-12 | ||
6-17 | ||
6-18 | ||
6-25 | ||
<8, 8-10, 10+ | ||
8-<19 | ||
8-11, 12-14, 15-17 | ||
8-11, 12-17 | ||
8-11, 16-19 | ||
8-17 | ||
8-18 | ||
8-20 |
Measure of Age | Categories Presented in the Report | Reference |
---|---|---|
9-15 | ||
10-12 | ||
10-14 | ||
11-17 | ||
12-13, 14-15, 16-17, 18-19 |
||
12-14, 15-17 | ||
12-15, 16-17, 18-21 |
||
12-15, 16-19 | ||
12-17 | ||
12-19 | ||
13-14, 15-16, 17-18 |
||
13-19 | ||
14-19 | ||
<15, 16-17, 18-19, 20-24 |
||
15-19 | ||
15-34, 35-44 | ||
<18, 18-24, 25-34, 35-44, 45-54, 55-59, 60-64, 65-67, 70+ |
||
18-20, 21-23, 24-28, 29-54 |
||
<20, 20-<30, 30-<40, 40+ |
||
<20, 20-39, 40-59, 60+ |
||
<20 and >20 | ||
Mean Age of Study Sample (years) | 5.8 | |
8.8 | ||
10.0 | ||
12.2 | ||
13 | ||
15.6 | ||
16 (adolescents), 20 (young adults) |
Measure of Age | Categories Presented in the Report | Reference |
---|---|---|
Birth Cohort Year |
1928-1953; 1954-1972; 1973-1999 |
|
1958-1970; 1971-1983; 1984-1995i |
||
1971-1975; 1976-1980; 1981-1985; 1986-1990; 1991-1995; 1996-2000; 2001-2005; 2006-2010 |
||
1988-1994; 1999-2000; 2001-2002; 2003-2004; 2005-2006; 2007-2008 |
||
1995 (June)-1997 (July) |
||
Grade in School |
K, 1 and 3, 5 and 7 |
|
1, 2, 3, 4, 5, 6 |
||
3 | ||
4 | ||
4, 5, 6 | ||
5 | ||
5, 7, 8 | ||
5, 7, 9 | ||
5, 8, 12 | ||
6, 7, 9 | ||
8, 10, 12 | ||
9, 10, 11, 12 | ||
10 | ||
Grade Range | K-5 | |
K-5, 6-8, 9-12 |
Kolbo et al., 2008, 2012; Molaison et al., 2010; Robbins et al., 2012; Rundle et al., 2012; YoussefAgha et al., 2013; Zhang et al., 2014 |
|
K-6 | ||
3-6 | ||
6-10 | ||
9-12 | ||
School Level |
Middle school, high school |
NOTES: Each reference corresponds to a published report. There is repetition of datasets (e.g., National Health and Nutrition Examination Survey); K, Kindergarten.
a Assessed the same child at each age given.
b Estimate of obesity prevalence or trend reported by age groupings given.
c Ages based on cohort birth year.
d This age categorization is clinical and not data based; it was used because the Tanner index of sexual maturation was not measured at all periods.
e Age at last birthday.
f Ages at onset of study, assessed again at additional time interval.
g Groupings used in bivariate analysis.
h Groupings used in multivariate analysis.
i Aged 8-<18 years at assessment.
TABLE D-7 Summary of Statistical Approaches Taken in a Collection of Recent Published Reports
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
Add Health | Gordon-Larsen et al., 2010 | 1996, 2001-2002, 2007-2009 | Percent (95 percent CI) |
Add Health | Harris et al., 2006 | 1994-1995, 1996, 2001-2002 | Proportion (95 percent CI) |
Add Health | Suglia et al., 2014 | 1994-2001 | Percent (standard error) |
Anchorage and Matanuska-Susitna Borough School Districts, Alaska | CDC, 2013b | 2003-2004 through 2010-2011 | Weighted percentages; unadjusted obesity prevalence; 95 percent confidence interval |
Bogalusa Heart Study | Broyles et al., 2010 | 1973-2008b | Percent |
Bright Start Study | Acran et al., 2012 | 2005-2006 | Number of participants |
California FitnessGram® | Madsen et al., 2010 | 2001-2008 | Percent (standard error; most considered negligible) |
California FitnessGram® | Sanchez-Vaznaugh et al., 2015 | 2001-2010 | Percent |
California FitnessGram® | Aryana et al., 2012 | 2003-2008 | Percentc |
California FitnessGram® | Jin and Jones-Smith, 2015 | 2010-2012 | Percent |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Stratified by sex and race, ethnicity categories F-statistic and t-test used to compare groups | NR | Stratified prevalence estimates plotted on chart |
Stratified by sex, race and ethnicity categories | Marginal (or “population-average”) longitudinal regression model Presented absolute change and 95 percent confidence interval (CI) | NR |
Regression models (difference between sexes) | NR | NR |
Pearson Chi-square test Stratified by socioeconomic status, gender, race and ethnicity, grade grouping | Relative percent change | Multivariate logistic regression model; linear term for time, Unadjusted weighted prevalence (95 percent CIs) plotted |
Stratified analyses (by age groups) Plotted results on same graph as NHANES prevalence | Estimated secular trends were presented per 10 years | Generalized estimating equations; accounted for demographic shift |
Linear (additive) model; group-by-time interaction effect included in the models | ||
NR | NR | NR |
Stratified analyses Logistic regression | Adjusted odds ratios between first year and peak year compared | Logistic regression |
Stratified percentages Cross-product terms added to trend models | Trend line slope Multilevel logistic regression | Multilevel logistic regression with spline terms |
General linear model for analysis of variance for subgroup comparisons over time | NR | Cochran-Armitage trend test Multivariable logistic regression |
Percent, stratified by income status Log-binomial regression; relative risk of obesity | NR | NR |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
CARDIAC Project | Lilly et al., 2014 | 2002-2012 | Average BMI percentile with standard error |
The Caring Initiative | Adams et al., 2008 | 1996-2005 | n (%) |
CAYPOS | Kolbo et al., 2008 | 2005-2007 | Weighted estimates and standard errors |
CAYPOS | Molaison et al., 2010 | 2005-2009 | Weighted estimates and standard errors |
CAYPOS | Kolbo et al., 2012 | 2005-2011 | Weighted estimates and standard errors |
CAYPOS | Zhang et al., 2014 | 2005-2013 | Weighted estimates and standard errors |
CENTURY Study | Wen et al., 2012 | 1999-2008 | Percent Percent (standard error) |
CHAMACOS Study | Warner et al., 2013 | 1999-2008 | Number of participants (%) |
Child Health Measures Study | Brown et al., 2010 | 2007-2008 | n (%) |
Children of NLSY79 Participants | Huang et al., 2013 | 1986-2008 | NR |
Chronic Kidney Disease in Children Study | Wilson et al., 2011 | 2005-2009 | n (%) |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
NR | NR | Generalized estimating equation model |
NR | NR | Graphed the prevalence for each year; approach not described |
Proc Crosstab Considered non-overlapping 95 percent CI significant | NR | NR |
Proc Crosstab Considered non-overlapping 95 percent CI significant | NR | Compared values across the 3 years |
Proc Crosstab Considered non-overlapping 95 percent CI significant | NR | Logistic regression used to assess linearity of longitudinal trends; linear coefficients and quadratic coefficients |
Proc Crosstab Considered non-overlapping 95 percent CI significant | NR | Logistic regression used to assess linearity of longitudinal trends; linear coefficients and quadratic coefficients were assigned |
Stratified analyses Compared to NHANES, PedNSS | Relative change Absolute change Adjusted obesity risk per year | Multivariable logistic regression models during two 5-year periods separately |
Logistic regression | NR | Generalized estimating equation model |
NR | NR | NR |
Chi-square analyses Multivariate analyses | NR | Trajectory modeling |
NR | NR | NR |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
Chronic Kidney Disease in Children Study | Saland et al., 2010 | As of May 2009 | n (%) |
Cleveland Children’s Sleep and Health Study | Spilsbury et al., 2015 | n (%) | |
Community Alliance for Research and Engagement – Baseline | Kallem et al., 2013 | NR | n (%) |
Creating Healthy, Active and Nurturing Growing-up Environments | Tovar et al., 2012 | NR | Number of participants |
Creating Healthy, Active and Nurturing Growing-up Environments | Choumenkovitch et al., 2013 | 2008 | Percent |
ECLS-B | Castetbon and Andreyeva, 2012 | 2005-2006, 2006-2007 | Percent |
Fels Longitudinal Study | Johnson et al., 2012 | 1930-2008d | Mean (standard deviation) BMI, BMI z-score; Percent (number of participants)e |
Fels Longitudinal Study | Sun et al., 2012 | 1960-1999d | NR |
Fels Longitudinal Study (born 1958-1995) | Johnson et al., 2013 | 1958-1995d | NR |
GE Centricity EMR | Crawford et al., 2010 | NR | n (%) |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
NR | NR | NR |
Presented by age groups | NR | NR |
Multiple linear regression analyses | NR | NR |
Present characteristics by weight category (e.g., n [%]) Logistic regression (unadjusted and adjusted) |
NR | NR |
Generalize linear model Multiple logistic regression | NR | NR |
Stratified by sex, presented by age groups (4, 5-6 years) | NR | NR |
Presented by birth cohort | NR | Mixed effects growth modesl |
Presented by birth cohort | NR | Sex-specific mixed-effect repeated measure analysis of variance model (BMI not percentile) |
Stratified by sex*birth cohort Two-degrees-of-freedom chi-square test comparing each subsequent birth cohort to the first |
Generalized estimating equations (GEEs) specifying an autoregressive correlation structure | |
Stratified by comorbidity (*race, ethnicity groups; *sex), age group | NR | NR |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
Hawaiian HMO | Stark et al., 2011 | 2003 | n (%) |
Health Behavior in School-aged Children Quadrennial Surveys | Iannotti and Wang, 2013 | 2001-2002, 2005-2006, 2009-2010 | Percent (SE) |
Health eTools for Schools, Pennsylvania | YoussefAgha et al., 2013 | 2005-2009 | n (%) |
Health eTools for Schools, Pennsylvania | Lohrmann et al., 2014 | 2007-2011 | Percentage |
HMO Network | Arterburn et al., 2010 | 2005-2006 | Percent |
Kaiser Permanente Northern California | Gee et al., 2013 | 2003-2005, 2009-2010 | Mean (95 percent CI) |
Kaiser Permanente Northern California | Lo et al., 2014 | 2007-2010 | Percentage |
KPSC Children’s Health Study | Christensen et al., 2013 | 2007-2009 | n (%) |
KPSC Children’s Health Study | Black et al., 2012 | 2007-2009 | Percentage n (%) |
KPSC pediatric acquired demyelinating diseases Cohort, KPSC Children’s Health Study | Langer-Gould et al., 2013 | 2004-2010, 2007-2009 | n (%) |
MetroHealth System, EpicCare – Northeast Ohio | Benson et al., 2009 | 1999-2007 | Number of participants |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Wald Chi-square analysis Logistic regression | NR | NR |
Multinomial logistic regression analysis | Multinomial logistic regression analysis | Multinomial logistic regression analysis |
Presented by school level for each year Compared prevalence by HS grades to YRBS (just percent, no CI) |
Least-squares method, a simple linear regression formula | |
Pearson chi-square | NR | Least-squares method, a simple linear regression formula |
Stratified by site | NR | NR |
Stratified logistic regression models, combination of age and race categories Compared to NHANES, California FitnessGram® |
Absolute and relative change presented Logistic regression | NR |
Chi-square test Cochrane-Armitage test |
NR | NR |
Chi-square test Multiple logistic regression models |
NR | NR |
Presented by asthma status chi-square | NR | NR |
Chi-square | NR | NR |
Logistic regression | Performed; presumably through the generalized estimating equation | Generalized estimating equations for logistic regression with autoregressive correlation structure |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
MetroHealth System, EpicCare – Northeast Ohio | Benson et al., 2011 | 1999-2008 | Number of participants |
Miami-Dade County Schools Health Screenings | Saab et al., 2011 | 1999-2005 | Percent |
Military Health System | Eilerman et al., 2014 | 2009-2012 | Crude and age-adjusted prevalence Entire population; no standard error or CIs presented |
Monitoring the Future | Slater et al., 2013 | 2010 | Percent |
MOVE Projectf | Carlson et al., 2012 | 2007-2010 | n (%) |
Multiple datasetsg | Lee et al., 2011 | 1959-2002 | Plotted on a graph |
Multiple datasetsh | Ng et al., 2014 | 1984-2012 | Age-standardized prevalence rates |
Multiple datasetsj | Hernández-Valero et al., 2012 | 2001-2007 | Percent |
Multiple datasetsk | Lasserre et al., 2007 | Varied by dataset | Percent |
National Comorbidity Survey – Adolescent Supplement | Blank et al., 2015 | 2001-2002 | Number of participants |
National Hospital Discharge Survey | Koebnick et al., 2009 | 1986-2006 | Calculated per 100,000 population for 3-year periods |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
NR | NR | NR |
Presented by school year Analyses stratified, by sex | NR | Logistic regression analyses |
Stratified by sex, active duty status Compared calculated prevalence to NHANES 95 percent confidence interval |
NR | Presented prevalence for each year |
Multivariable logistic regression | NR | NR |
NR | Absolute change in BMI z-score (standard deviation); paired t-test | NR |
Presented by dataset used Stratified by sex, race, and sex*age | Linear regression coefficients for time periods | Plotted on a graph Linear regression analysis Growth curve models (longitudinal) |
Stratified by sex and age (<20 and >20 years) | NR | Spatiotemporal regression model and Gaussian process regression with smoothing function smoothing functioni |
Stratified by origin and resident status Chi-square Univariate and multivariate multinomial logistic regression models |
NR | NR |
Compared three different countries | NR | Plotted on graph and discussed |
Percent ± standard error Logistic regression adjusted for age, sex, and race | NR | NR |
Chi-square | NR | Plotted on a graph |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
Nationwide Inpatient Sample | George et al., 2011 | 1995-2008 | Percent (standard error) |
New York City FitnessGram® | Day et al., 2014 | 2006-2007 through 2010-2011 | Percent |
New York City FitnessGram® | Rundle et al., 2012 | 2007-2008 | Percent |
New York City PedNSS | Sekhobo et al., 2014 | 2004-2006 versus 2008-2010 | n (%) |
New York State PedNSS | Sekhobo et al., 2010 | 2002-2007 | Percent |
NHANES | Din-Dzietham et al., 2007 | 1963-2002 | Prevalence with Taylor series linearization for variance estimation Unadjusted weighted prevalence (standard error) |
NHANES | Freedman et al., 2006 | 1971-1974, 1976-1980, 1988-1994, 1999-2002 | Percent (standard error) |
NHANES | Murasko, 2011 | 1971-1980 versus 1999-2008 | NR |
NHANES | Song et al., 2012 | 1971-1994 | Prevalence with Taylor series linearization for variance estimation |
NHANES | Wang and Zhang, 2006 | 1971-2002 | Percent ± standard error |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Stratified by sex, age groups | NR | Linear regression; orthogonal polynomial contrasts across time periods |
Wald statistic | Relative change presented | Multivariable logistic models |
Presented by gender* race* school-level groups Multivariable generalized estimating equations with a logit link | NR | NR |
Stratified by high-risk and low-risk neighborhoods, and by borough | Chi-square tests Absolute change presented | Ecologic, time-trend analysis |
Present percent by sex and sex*race/ethnicity | NR | Prevalence presented for each year; plotted on a graph |
Present unadjusted prevalence (standard error) by race and NHANES cycles | NR | Present unadjusted weighted prevalence and mean (SE) of participants’ selected characteristics by race/ ethnicity over time |
Presented by race/ethnicity groups (*sex; *age groups) | Present absolute change | Logistic regression models |
Stratified by age groups, income level | Absolute difference (BMI z-score) | Bayesian penalized-spline technique for structured additive models |
NR | NR | NR |
Chi-square | NR | Pooled data; logistic and linear regression analysis; included survey periods in models |
Logistic regression; odds of obesity by socioeconomic status and race/ethnicity |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
NHANES | Lee et al., 2010 | 1971-2006 | Prevalence with Taylor series linearization for variance estimation |
NHANES | Robinson et al., 2013 | 1971-2008 | Contingency table of prevalence, percent |
NHANES | Wang et al., 2012 | 1971-2008 | NR |
NHANES | Skelton et al., 2009 | 1976-1980, 1988-1994, 1999-2000, 2001-2002, 2003-2004 | n (%), 95 percent CI Standard errors were estimated using Taylor series linearization Extrapolated estimates to entire U.S. population |
NHANES | Ver Ploeg et al., 2008 | 1976-2002 | NR |
NHANES | Zachariah et al., 2014 | 1976-2008 | Percent |
NHANES | Rosner et al., 2013 | 1988-2008 | Mean ± standard error BMI |
NHANES | Ogden et al., 2006 | 1999-2000, 2001-2002, 2003-2004 | Weighted prevalence estimates (95 percent CI); Taylor series linearization for variance estimation |
NHANES | May et al., 2012 | 1999-2008 | Weighted prevalence, n (%) % (standard error) |
NHANES | Khoury et al., 2013 | 1999-2008 | Present mean ± standard deviation of BMI |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
No statistical comparisons; discussed absolute differences | Absolute increases in obesity prevalence were calculated for the age trend by birth cohort analyses | Age-period-birth cohort analysis |
Age-period-cohort analysis (median polish technique) | NR | Age-period-cohort analysis (median polish technique) |
Models presented by age groups and race/ethnicity | Average annual changes estimated by regression models Logistic regression models also fitted |
Average annual changes estimated by regression models Logistic regression models Differences in the slope of trends tested (per/post 1999) |
Chi-square tests Bonferroni correction for multiple comparisons | NR | Cochran-Armitage trend test |
Multiple regression analysis Logit models | Multiple regression analysis Logit models | Multiple regression analysis Logit models |
NR | NR | Present percent by NHANES cycle |
Stratified by NHANES cycle, sex | NR | NR |
Sex-specific multiple logistic regression models T-tests | NR | Sex-specific logistic regression; survey years was used as a ordinal variable |
Chi-square tests Bonferroni correction for multiple comparisons | NR | Presented prevalence (standard error) by NHANES cycle |
NR | NR | NR |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
NHANES | Ogden et al., 2012 | 1999-2010 | Weighted prevalence estimates (95 percent CI); Taylor series linearization for variance estimation |
NHANES | Skinner et al., 2015 | 1999-2012 | n, weighted percentl |
NHANES | Skinner and Skelton, 2014 | 1999-2012 | Prevalence estimates for each obesity definition by 2-year NHANES cycles |
NHANES | Rossen and Schoendorf, 2012 | 2001-2002, 2009-2010 | Multivariable logistic regression generated adjusted probabilities (prevalence); Taylor series linearization for variance estimation |
NHANES | Okosun et al., 2010 | 2003-2004 | Number of participants |
NHANES | Ogden et al., 2014 | 2003-2004, 2005-2006, 2007-2008, 2009-2010, 2011-2012 | Weighted prevalence estimates (95 percent CI); Taylor series linearization for variance estimation |
NHANES | Trasande et al., 2012 | 2003-2008 | Number of participants Percent ± standard error |
NHANES | Lalwani et al., 2013 | 2005-2006 | Number of participants |
NHANES | Li et al., 2012 | 2005-2008 | Percent ± standard error |
NHANES | Fakhouri et al., 2013 | 2009-2010 | Number of participants |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Sex-specific multiple logistic regression models T-tests (difference by sex overall, between race/ethnicity groups) | “Regression models using survey period as a discrete variable with appropriate contrast matrices” | Sex-specific multiple logistic regression models; linear trends tested with survey cycle as discrete and continuous variable |
Stratified by age category | NR | NR |
Adjusted Wald tests of differences by demographics | Adjusted Wald test | Logistic regression; regressed NHANES years as an ordinal variable on the binary outcome; coefficient and standard errors represent a test for a linear trend |
Presented by race, ethnicity groups, and socioeconomic status by cycle year | Presented estimates by cycle year | NR |
One-way ANOVA Pearson chi-square tests | NR | NR |
T-tests (sex difference) ANOVA (difference between race/ethnicity categories); T-tests Adjustments not made for multiple comparisons | Absolute change | Unadjusted prevalence trends tested with t statistics and orthogonal contrast matrices |
Sex- and age-specific logistic regression models | ||
Multivariable logistic regression | NR | NR |
Cochrane-Armitage trend test (across various levels of hearing loss groups) Independent t-test | NR | NR |
Stratified by age groups | NR | NR |
NR | NR | NR |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
NSCH | Kim, 2012 | 2002-2003, 2006-2007 | Percent |
NSCH | Kim et al., 2011 | 2003 | Percent |
Ohio Schools – Third Grade Dataset | Oza-Frank et al., 2013 | 2004-2005 through 2009-2010 | Percent (95 percent CI) Adjusted prevalence estimates; predictive margins |
Oklahoma WIC Datam | Weedn et al., 2014 | 2005-2010 | n (%) |
PedNSS | CDC, 2009 | 1998, 2003, 2008 | n (%) |
PedNSS | Pan et al., 2012 | 1998-2010 | Percent (95 percent CI) |
PedNSS | CDC, 2013c | 2008-2011 | n (%) |
Penn State Child Cohort | Rodríguez-Colón et al., 2011 | 2002-2006 | n (%) |
Penn State Child Cohort | Calhoun et al., 2011 | NR | Average BMI percentile presented |
Pennsylvania Public School BMI Surveillance | Bailey-Davis et al., 2012 | 2006-2007, 2007-2008, 2008-2009 | Proportion Presented by school years and as 3-year mean |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Logistic regression; odds of obesity by school physical education requirements | NR | NR |
Stratified by sex Regression analyses used to assess adjusted odd ratios by ADHD and medication status | NR | NR |
Presented prevalence by age, sex, race/ethnicity, National School Lunch Program participation, county type | NR | Logistic regression; survey year included as ordinal variable |
Sex-stratified multivariable logistic regression with interaction terms | NR | Sex-specific regression models; year included as continuous variable |
Presented by state for three different years Figure present prevalence over time by race/ethnicity categories |
Chi-square tests for difference in proportions | Graphed the prevalence for the entire sample over the 3-year period |
Average absolute change | ||
T-tests with Bonferroni adjustments | NR | Joinpoint regression Piecewise logistic regression |
Logistic regression | Absolute change presented | Logistic regression models Crude and adjusted odds ratios are presented |
NR | NR | NR |
Average BMI percentile presented by groups | NR | NR |
Bivariate comparisons; ANOVA Multivariate models with adjusted pairwise comparisons |
NR | Box-plots presented by school year |
Linear models used and F test and model coefficients |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
Philadelphia Schools | Robbins et al., 2012 | 2006-2007 through 2009-2010 | Percent |
Philadelphia Schools | Lawman et al., 2015 | 2011-2012 | Percent |
Pine Ridge Reservation School-Based Assessment | Hearst et al., 2011 | 1998-2002 | Percent (number of participants) |
PNSS | Hinkle et al., 2012 | 1999, 2004, 2008 | n (%) |
South Dakota School-Based BMI Assessment | Hearst et al., 2013 | 1998-2010 | n (%) |
Special Olympics International Healthy Athletes Database | Foley et al., 2014 | 2005-2010 | Percent (95 percent CI) |
Texas SPAN Study | Ezendam et al., 2011 | 2000-2002 to 2004-2005 | Percent |
Total Army Injury and Health Outcomes Database | Hruby et al., 2015 | 1989-2012 | Percent |
Truven Health Analytics MarketScan Database | Joyce et al., 2015 | 2004-2010 | n (%) |
The Tucson Children’s Assessment of Sleep Apnea Study | Archbold et al., 2012 | 1999-2004 | n (%) |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Prevalence presented by grade groups, sex, sex*race/ethnicity group, by eligibility for free/reduced-priced lunch | Relative percent change presented | Testing a linear variable for school year in multivariable models |
P-value for trend was calculated using Wald Chi-square test | ||
Stratified by sex, race, and grade | Present absolute change | Ordinal regression mixed model |
Multinomial logistic regressions Chi-square | ||
Presented by age groups, sex, percent Indian heritage Wald Chi-square test | NR | NR |
Presented by participating locations, by demographic characteristics by year | Average annual percentage point changes | Cochran-Armitage test for trend |
1 degree of freedom Wald chi-square test | 1 degree of freedom Wald chi-square test | |
Chi-squared tests comparing results to NHANES | NR | Chi-squared tests Presented percent (95 percent CI) |
Logistic regression used to assess effect of age and gender on overall prevalence (2005-2010) | Plotted prevalence for each year on a graph | |
Chi-square test Cross-sectional mediation analysis | Present percent at both time points | NR |
Multivariate logistic regression | Present prevalence by each year | Multivariate logistic regression with time interval as a predictor |
Multivariate regression | NR | NR |
NR | Student paired t-test and the 2-sample test of proportions | NR |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
Washington State Healthy Youth Survey | Kern et al., 2014 | 2004-2012 | Percent ± 95 percent CI |
YRBS (national, state, large urban school districts) | Eaton et al., 2012 | 1999-2011 | Percent (95 percent CI) |
YRBS (national, state, large urban school districts) | Kann et al., 2014 | 1999-2013 | Percent (95 percent CI) |
YRBS (national, state, local) | Eaton et al., 2008 | 1999-2007 | Percent (95 percent CI) |
YRBS (national, state, local) | Eaton et al., 2010 | 1999-2009 | Percent (95 percent CI) |
YRBS, Florida | Nickelson et al., 2012 | 2006 | n (%) |
YRBS, North Carolina | Ritzman and Elmore, 2006 | 2001, 2005 | Percent |
YRBSS | Taber et al., 2012 | 2001-2007 | Percent |
Not Specified | Acharya et al., 2011 | 2004-2005 | Percent |
Not Specified | Chen and Weng, 2012 | 2004 | Percent |
Not Specified | Crowley et al., 2011 | 1986-1989, 2008 | n (%) |
Not Specified | Gamble et al., 2012 | 2009-2010 | Percent |
Not Specified | Halloran et al., 2012 | 1993-2006 | n (%) |
Not Specified | Huh et al., 2012 | NR | Percent |
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Stratified analyses Interaction terms in logistic regression (group*year) | Logistic regression analysis; change in odds (2010 versus 2012) | Logistic regression analysis (2004-2012); adjusted for potential confounders |
T-test | T-test | Logistic regression analyses; simultaneously assessed linear and quadratic time effects |
T-test | T-test | Logistic regression analyses; simultaneously assessed linear and quadratic time effects Joinpoint analysis |
T-test | T-test | Logistic regression analyses; simultaneously assessed linear and quadratic time effects |
T-test | T-test | Logistic regression analyses; simultaneously assessed linear and quadratic time effects |
NR | NR | NR |
Present by school level | Simply report apercentage for each year | NR |
Linear mixed models (between state comparisons) | NR | Sex-stratified linear model and included a quadratic term for time |
Chi-square, by race, ethnicity | NR | NR |
Logistic regression adjusting for covariates | NR | NR |
Stratified by “era” (1986-1989, 2008) | Likelihood ratio chi-square test | NR |
One-way ANOVA; Tukey’s post-hoc tests | NR | NR |
Chi-square test Plotted graphs by race | NR | Cochran-Armitage test of trend Plotted prevalence for each year on a graph, by race |
Models regressed on age; age and ethnicity; and age*ethnicity interaction | NR | Longitudinal regression analyses using generalized estimating equation |
Study or Data Source Namea | Reference | Data Collection Years | Statistical Approach |
---|---|---|---|
Prevalence | |||
Not Specified | Lemay et al., 2008 | 2001-2005 | Percent |
Not Specified | Nader et al., 2014 | 2003, 2006, 2009 | n (%) |
Not Specified | Nafiu et al., 2014 | NR | Number of participants |
Not Specified | Reed et al., 2013 | 2010 | n (%) |
Not Specified | Rogozinski et al., 2007 | 1994-2004 | Percent Percent (N) |
Not Specified | Salihu et al., 2010 | 2004-2007 | Percent |
Not Specified | Simmons et al., 2012 | 2008-2010 | Percent |
Not Specified | Staiano et al., 2013 | NR | Mean ± standard deviation; BMI and BMI z-score |
Not Specified | Stingone et al., 2011 | NR | n (%) |
Not Specified | Taylor et al., 2014 | NR | Percent (mean, median, standard deviation, min, max) |
Not Specified | Williamson et al., 2011 | 2006-2008 | n (%) |
NOTES: CI, confidence interval; NR, not reported in published report; * indicates interactions in analysis; all study and dataset acronyms are listed in Appendix A.
a Study or data source name provided in text of the publication. If the publication did not specifically name the data source that was used, but provided details about data collection protocol, it is labeled as “Not Specified” in the table.
b The 2008-2009 data came from routine measurements of students from the middle school (grades 6-8) and high school (grades 9-12), which enrolls ~81% of students in the community.
c Percent in the body composition “Healthy Fitness Zone.”
d Birth cohort years; end year of data collection not specified in the published report.
e Presented as overweight and obese at age 10 years.
f The MOVE project is a 12-month childhood obesity prevention program with a 24-month follow-up.
g Includes NHANES (1959-1962, 1966-1970, 1971-1975, 1976-1980, 1988-1994, 1999-2000, 2001-2002); Add Health (Wave 1: 1994-1995; Wave 2: 1996; Wave 3: 2001-2002); NHIS (1980, 1990, 2000-2003); NLSY79 (1981-1982, 1985); NLSY97 (1997, 2001).
h Includes National Longitudinal Survey of Youth (1997-2011); National Survey of Family Growth (2006, 2007, 2008, 2009); National Longitudinal Survey of Adolescent Health (1994); International Social Survey Programme (ISSP) (2012); National Health Measurement
Comparisons Between Groups, Datasets | Changes (2 points in time) | Trends (≥3 points in time) |
---|---|---|
Chi-square tests | Reported the percent at each time point | NR |
Univariate and multivariate logistic regression models | Chi-square test | Cochran–Armitage test for trend |
NR | NR | NR |
ANOVA Chi-square | NR | NR |
Compared estimates to NHANES (graph) | NR | Chi-square test for trend Multiple logistic regression analysis |
Chi-square for trend | NR | NR |
Chi-square test | Wilcoxon signed-rank test | NR |
NR | NR | NR |
NRn | NR | NR |
Pearson product-moment correlation coefficients (partial correlations) | NR | NR |
NR | n (%) at both time points presented | NR |
Survey (2006); National Survey on Drug Abuse (1995); NHANES (1988, 1999, 2001, 2003, 2005, 2007, 2009, 2011); BRFSS (1984-2012); National Longitudinal Survey - Child/Young Adult (1986, 1988, 1990, 1992, 1992, 1996, 1998, 200, 2002, 2004, 2006, 2008, 2010); Health Behavior in School-Aged Children (2001, 2005, 2009); National Health Interview Survey (NHIS) (1980-2012); PedNSS (1980-2012).
i U.S. data included in the “developed” country age-birth cohort trend.
j Includes Cohort of Mexican School Age Children and Adolescents (2004-2006); Mano a Mano Cohort (2001-2003); and From Mother to Child Project (2004-2007).
k Includes previously published NHANES data; published aggregate data from Switzerland (Zurich [1960/1965; 1980/1990]; national data [2002]); and raw data from Seychelles (1998-2004).
l Only assessed children at or above the 85th percentile on the 2000 Centers for Disease Control and Prevention BMI-for-age growth charts; prevalence presented by gradation of obesity categories.
m Oklahoma did not report to national PedNSS during this time.
n Obesity prevalence is presented in the text, but the figures and tables describe overweight rather than obesity.
Hypothetical Information Used to Calculate a BMI Corresponding to the NI-HR BMI Cut Point | |||||||
Age, years | Sex | Date of Birth | Date of Measurement | Height, inchesa | Weight, poundsb | NI-HR BMI Cut Pointc | Corresponding BMI-forAge Percentiled |
---|---|---|---|---|---|---|---|
5.0 | F | 01/01/1999 | 01/01/2004 | 48 | 60.6 | 18.5 | 95.8 |
5.5 | F | 01/01/1999 | 07/01/2004 | 48 | 60.6 | 18.5 | 95.0 |
6.0 | F | 01/01/1999 | 01/01/2005 | 48 | 62.9 | 19.2 | 96.0 |
6.5 | F | 01/01/1999 | 07/01/2005 | 48 | 62.9 | 19.2 | 95.0 |
7.0 | F | 01/01/1999 | 01/01/2006 | 48 | 66.2 | 20.2 | 96.1 |
7.5 | F | 01/01/1999 | 07/01/2006 | 48 | 66.2 | 20.2 | 95.1 |
8.0 | F | 01/01/1999 | 01/01/2007 | 48 | 69.5 | 21.2 | 96.0 |
8.5 | F | 01/01/1999 | 07/01/2007 | 48 | 69.5 | 21.2 | 95.0 |
9.0 | F | 01/01/1999 | 01/01/2008 | 48 | 73.4 | 22.4 | 96.0 |
9.5 | F | 01/01/1999 | 07/01/2008 | 48 | 73.4 | 22.4 | 95.0 |
10.0 | F | 01/01/1999 | 01/01/2009 | 48 | 77.3 | 23.6 | 95.9 |
10.5 | F | 01/01/1999 | 07/01/2009 | 48 | 77.3 | 23.6 | 95.1 |
11.0 | F | 01/01/1999 | 01/01/2010 | 48 | 81.0 | 24.7 | 95.8 |
11.5 | F | 01/01/1999 | 07/01/2010 | 48 | 81.0 | 24.7 | 95.0 |
12.0 | F | 01/01/1999 | 01/01/2011 | 48 | 84.6 | 25.8 | 95.7 |
12.5 | F | 01/01/1999 | 07/01/2011 | 48 | 84.6 | 25.8 | 95.0 |
13.0 | F | 01/01/1999 | 01/01/2012 | 48 | 87.8 | 26.8 | 95.6 |
13.5 | F | 01/01/1999 | 07/01/2012 | 48 | 87.8 | 26.8 | 95.0 |
14.0 | F | 01/01/1999 | 01/01/2013 | 48 | 90.8 | 27.7 | 95.5 |
14.5 | F | 01/01/1999 | 07/01/2013 | 48 | 90.8 | 27.7 | 95.0 |
15.0 | F | 01/01/1999 | 01/01/2014 | 48 | 93.4 | 28.5 | 95.4 |
15.5 | F | 01/01/1999 | 07/01/2014 | 48 | 93.4 | 28.5 | 95.0 |
16.0 | F | 01/01/1999 | 01/01/2015 | 48 | 96.0 | 29.3 | 95.4 |
16.5 | F | 01/01/1999 | 07/01/2015 | 48 | 96.0 | 29.3 | 95.0 |
17.0 | F | 01/01/1999 | 01/01/2016 | 48 | 98.3 | 30.0 | 95.4 |
17.5 | F | 01/01/1999 | 07/01/2016 | 48 | 98.3 | 30.0 | 95.0 |
5.0 | M | 01/01/1999 | 01/01/2004 | 48 | 59.3 | 18.1 | 95.8 |
5.5 | M | 01/01/1999 | 07/01/2004 | 48 | 59.3 | 18.1 | 94.9 |
6.0 | M | 01/01/1999 | 01/01/2005 | 48 | 61.6 | 18.8 | 96.3 |
6.5 | M | 01/01/1999 | 07/01/2005 | 48 | 61.6 | 18.8 | 95.2 |
7.0 | M | 01/01/1999 | 01/01/2006 | 48 | 64.2 | 19.6 | 96.2 |
7.5 | M | 01/01/1999 | 07/01/2006 | 48 | 64.2 | 19.6 | 95.1 |
8.0 | M | 01/01/1999 | 01/01/2007 | 48 | 67.5 | 20.6 | 96.1 |
8.5 | M | 01/01/1999 | 07/01/2007 | 48 | 67.5 | 20.6 | 95.1 |
9.0 | M | 01/01/1999 | 01/01/2008 | 48 | 70.8 | 21.6 | 95.9 |
9.5 | M | 01/01/1999 | 07/01/2008 | 48 | 70.8 | 21.6 | 95.0 |
10.0 | M | 01/01/1999 | 01/01/2009 | 48 | 74.4 | 22.7 | 95.9 |
10.5 | M | 01/01/1999 | 07/01/2009 | 48 | 74.4 | 22.7 | 95.1 |
11.0 | M | 01/01/1999 | 01/01/2010 | 48 | 77.7 | 23.7 | 95.7 |
11.5 | M | 01/01/1999 | 07/01/2010 | 48 | 77.7 | 23.7 | 95.0 |
12.0 | M | 01/01/1999 | 01/01/2011 | 48 | 81.0 | 24.7 | 95.7 |
12.5 | M | 01/01/1999 | 07/01/2011 | 48 | 81.0 | 24.7 | 95.0 |
13.0 | M | 01/01/1999 | 01/01/2012 | 48 | 83.9 | 25.6 | 95.6 |
13.5 | M | 01/01/1999 | 07/01/2012 | 48 | 83.9 | 25.6 | 95.0 |
14.0 | M | 01/01/1999 | 01/01/2013 | 48 | 86.9 | 26.5 | 95.6 |
14.5 | M | 01/01/1999 | 07/01/2013 | 48 | 86.9 | 26.5 | 95.1 |
15.0 | M | 01/01/1999 | 01/01/2014 | 48 | 89.1 | 27.2 | 95.5 |
15.5 | M | 01/01/1999 | 07/01/2014 | 48 | 89.1 | 27.2 | 95.0 |
16.0 | M | 01/01/1999 | 01/01/2015 | 48 | 91.4 | 27.9 | 95.5 |
16.5 | M | 01/01/1999 | 07/01/2015 | 48 | 91.4 | 27.9 | 95.0 |
17.0 | M | 01/01/1999 | 01/01/2016 | 48 | 93.7 | 28.6 | 95.5 |
17.5 | M | 01/01/1999 | 07/01/2016 | 48 | 93.7 | 28.6 | 95.0 |
NOTE: NI-HR, Needs Improvement-Health Risk.
a For ease of calculation of the BMI corresponding to the 2015 FitnessGram’s® NI-HR cut points, all heights were set to 48 inches.
b Values are weights in pounds that correspond to the NI-HR BMI cut point, based on a height of 48 inches.
c BMI cut points correspond to the values used in the 2015-2016 California Physical Fitness Test (California Department of Education, 2015).
d Percentiles correspond to the 2000 CDC sex-specific BMI-for-age growth charts. BMI-for-age percentile calculated using the CDC Children’s BMI Tool for Schools spreadsheet (CDC, 2015).
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