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Trends in Obesity Among Participants Aged 2–4 Years in the Special Supplemental Nutrition Program for Women, Infants, and Children — United States, 2000–2014

Weekly / November 18, 2016 / 65(45);1256–1260


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Liping Pan, MD1; David S Freedman, PhD1; Andrea J Sharma, PhD1; Karen Castellanos-Brown, PhD2; Sohyun Park, PhD1; Ray B Smith, MS1; Heidi M Blanck, PhD1 (View author affiliations)

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Summary

What is already known about this topic?

Previous analyses using Pediatric Nutrition Surveillance System (PedNSS) data found that during 2008–2011, obesity prevalence among children aged 2–4 years who participated in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and other nutrition and health programs declined slightly overall, among non-Hispanic whites, non-Hispanic blacks, Hispanics, and Asians/Pacific Islanders, and in 19 of 43 states and U.S. territories.

What is added by this report?

The WIC Participants and Program Characteristics (WIC PC) census data replaces the PedNSS system to report obesity prevalence among low-income young children from more jurisdictions consistently. This is the first study to use WIC PC data to examine early childhood obesity among low-income WIC young children. Modest declines in obesity prevalence from 2010 to 2014 were observed overall and in all five racial/ethnic groups. Among the 56 WIC state agencies in states, the District of Columbia, and U.S. territories, 34 had statistically significant declines. Despite the recent downward trends, the overall obesity prevalence among WIC children aged 2–4 years remains high at 14.5% in 2014.

What are the implications for public health practice?

Continued obesity prevention initiatives at the national, state, and local levels are needed. Policy and practice changes in key settings (community, early care and education, and health care), and initiatives that support pregnant women, parents, and key care providers to promote healthy pregnancies, breastfeeding, quality nutrition, and physical activity for young children are needed to further reduce the prevalence of early childhood obesity.

Childhood obesity is associated with negative health consequences in childhood (1) that continue into adulthood (2), putting adults at risk for type 2 diabetes, cardiovascular disease, and certain cancers (1). Obesity disproportionately affects children from low-income families (3). Through a collaboration with the United States Department of Agriculture (USDA), CDC has begun to use data from the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Participants and Program Characteristics (WIC PC) to replace the Pediatric Nutrition Surveillance System (PedNSS) (4,5) for obesity surveillance among young children from low-income families. CDC examined trends in obesity prevalence during 2000–2014 among WIC participants aged 2–4 years using WIC PC data. Overall obesity prevalence increased from 14.0% in 2000 to 15.5% in 2004 and 15.9% in 2010, and then decreased to 14.5% in 2014. During 2010–2014, the prevalence of obesity decreased significantly overall, among non-Hispanic whites, non-Hispanic blacks, Hispanics, American Indian/Alaska Natives and Asians/Pacific Islanders, and among 34 (61%) of the 56 WIC state agencies in states, the District of Columbia, and U.S. territories. Despite these declines, the obesity prevalence among children aged 2–4 years in WIC remains high compared with the national prevalence of 8.9% among children aged 2–5 years in 2011–2014. Continued initiatives to work with parents and other stakeholders to promote healthy pregnancies, breastfeeding, quality nutrition, and physical activity for young children in multiple settings are needed to ensure healthy child development.

To improve maternal and child health among women and children at risk for poor nutrition, WIC provides supplemental foods, nutrition education, and health care referral for low-income women who are pregnant, postpartum, or breastfeeding, and infants and children aged up to 5 years. WIC is administered in each state or territory by state health departments or Indian tribal organizations. WIC PC is a biennial census conducted by the USDA in even years that includes participants certified to receive WIC benefits in April of the reporting year. To be eligible for WIC, women, infants, and children have to meet residential, income (gross household income ≤185% of the U.S. Poverty Level or adjunctively eligible for other child nutrition programs), and nutrition risk requirements.* Children’s weight and height were measured by clinic-trained staff members according to a standard protocol†; children’s weight and height records during the most recent certification or recertification were included. Obesity was defined as sex-specific body mass index (BMI)-for-age ≥95th percentile on the 2000 CDC growth charts.

JoinPoint regression was used to identify the inflection years when changes in the overall trend occurred. Log binomial regression adjusted for age, sex, and race/ethnicity was used to estimate prevalence ratios that represent relative changes in prevalence between two inflection years. Differences in adjusted prevalence were then calculated ([prevalence at beginning of period] x [adjusted prevalence ratio] – [prevalence at beginning of period]). Changes in obesity prevalence were considered statistically significant if the 95% confidence intervals for differences in adjusted prevalence did not include zero.

Data from the WIC state agencies in 50 states, the District of Columbia, and five U.S. territories are included in the analyses. Approximately 90% of participants lived in households with gross incomes ≤185% of the U.S. Poverty Level. Approximately 75% of the anthropometric data were collected within 6 months before April of the reporting year. Data on 24,472 (0.11%) children from Hawaii in 2002 and 2004 were excluded because these prevalence estimates differed by >10 percentage points from the values predicted by a robust regression model, as were children whose weight and height were measured >1 year before the reporting year (n = 1,062 [0.005%]) or whose sex, weight, height, or BMI were missing or biologically implausible (194,526 [0.85%]) (6). The final analytic sample included 22,553,518 children aged 2–4 years from 56 WIC state agencies.

During 2000–2010, overall obesity prevalence increased significantly from 14.0% (2000) to 15.5% (2004) and 15.9% (2010); during 2010–2014, obesity prevalence decreased significantly to 14.5% (2014) (Figure) (Table). In a sensitivity analysis to assess the impact on the effect from Hawaii and the Northern Mariana Islands, which did not have consistent, reliable data during 2000–2014, the overall prevalence remained the same during 2000, 2004, and 2010 and increased slightly from 14.5% to 14.6% in 2014, when data from Hawaii and the Northern Mariana Islands were excluded. Patterns in overall obesity trends remained the same.

Obesity prevalence in all years was highest among American Indians/Alaska Natives and Hispanics. Among non-Hispanic whites, non-Hispanic blacks, Hispanics, and American Indians/Alaska Natives, prevalence increased significantly during 2000–2004, then decreased significantly during 2010–2014. Among Asians/Pacific Islanders, prevalence decreased significantly throughout the study period (Figure). Patterns in obesity trends remained the same for all racial/ethnic groups if Hawaii and the Northern Mariana Islands were excluded.

The JoinPoint analysis identified 2004 and 2010 as the inflection years for overall obesity trend. Obesity prevalences by WIC state agency are observed at four time points (2000, 2004, 2010, and 2014), with comparisons in adjusted prevalence during 2004 and 2000, 2010 and 2004, and 2014 and 2010 (Table). Among the 54 state agencies with data for 2000 and 2004, an increase in obesity prevalence was observed in 48 (89%); among these, 38 (70%) were statistically significant; the largest increase occurred in Kansas (from 11.8% to 16.7%). Obesity prevalence decreased for four (7%) WIC state agencies; Puerto Rico was the only WIC state agency with a significant decrease (from 22.1% to 21.3%) (Table).

Among the 54 WIC state agencies with data for 2004 and 2010, an increase in prevalence occurred in 26 (48%), including 17 (31%) that were statistically significant; a decrease occurred in 27 (50%) WIC state agencies, including 20 (37%) that were statistically significant. The largest increase in obesity prevalence occurred in New Mexico (from 11.0% to 15.7%) and the largest decrease occurred in Illinois (from 20.3% to 15.7%) (Table).

Among the 56 WIC state agencies with data for 2010 and 2014, only nine (16%) experienced an increase in obesity prevalence, including four (7%) in which the increase was statistically significant. The largest significant increase occurred in Nebraska (from 14.4% to 16.9%). In contrast, a decrease in obesity prevalence occurred in 45 (80%) WIC state agencies, including 34 (61%) in which the difference was statistically significant. The adjusted prevalence decreased by more than 3 percentage points in six WIC state agencies; the largest significant decrease was in Puerto Rico (from 20.3% to 13.9%).

Discussion

The prevalence of obesity among young children from low-income families participating in WIC in U.S. states and territories was 14.5% in 2014. This estimate was higher than the national estimate (8.9%) among all U.S. children in a slightly different age group (2–5 years) based on data from the 2011–2014 National Health and Nutrition Examination Survey (7). Since 2010, statistically significant downward trends in obesity prevalence among WIC young children have been observed overall, in all five racial/ethnic groups, and in 34 of the 56 WIC state agencies, suggesting that prevention initiatives are making progress, potentially by impacting the estimated excess of calories eaten versus energy expended for this vulnerable group (8).

Nutrition during pregnancy and early childhood is critical for healthy child growth and development. A recent review of factors contributing to childhood obesity identified risk factors present during pregnancy and the first 2 years of life, including high maternal prepregnancy BMI, excess maternal gestational weight gain, gestational diabetes, high infant birth weight, and rapid infant weight gain that can influence the risk for obesity in later childhood (9). The USDA WIC program reaches low-income mothers and children with nutritional risk during this critical developmental period. WIC promotes healthy eating and provides nutrition education that emphasizes the nutritional needs of women who are pregnant, postpartum, or breastfeeding, and children aged up to 5 years. In 2009, the WIC food packages were revised§ to align with the Dietary Guidelines for Americans and the infant feeding practice guidelines of the American Academy of Pediatrics. The revisions promote and support breastfeeding, provide WIC participants with a wider variety of healthy food options, and improve availability of and access to healthy foods in communities (10).

Other factors also might be contributing to the modest declines in obesity among WIC young children. Local, state, and national obesity initiatives and reports such as Let’s Move, the White House Childhood Obesity Task Force report,** and the Institute of Medicine recommendations†† have raised awareness and drawn the attention of stakeholders, including parents, early care and education (ECE) providers, community and business leaders, industry, health care providers, and public health officials. A number of federal initiatives have provided support to states and localities to assist ECE programs to improve nutrition, breastfeeding support, physical activity, and screen time standards. For example, CDC supports states in embedding these standards in their ECE systems through various mechanisms, including the State Public Health Actions§§ and the ECE Obesity Prevention cooperative agreements.

The findings in this report are subject to at least two limitations. First, findings might not be generalizable to all young children from low-income families, because the study includes only young children who participated in WIC and only about 50% of WIC eligible young children were enrolled in the program.¶¶ Second, findings of this study are not directly comparable to those based on the older PedNSS data, which also included WIC participants (4,5). Data collected by PedNSS in January–December calendar years included participants from some other child nutrition programs (<20%), in addition to WIC, but did not have consistent data for all WIC state agencies over time.

Despite the recent declining trends, the obesity prevalence for young, low-income children in WIC remains high at 14.5% in 2014. To reduce the high prevalence of early childhood obesity among low-income families, new and continued implementation of evidence-based measures are needed to support and educate pregnant women, ensure parents and families have the appropriate information about healthy behaviors, and encourage stakeholders across various settings and sectors to create supportive nutrition and physical activity environments.

Acknowledgments

Lisa McGuire, Patricia Brindley, Meredith Reynolds, CDC; Jinee Burdg, U.S. Department of Agriculture.

Corresponding author: Liping Pan, lpan@cdc.gov, 770-488-8001.

1Division of Nutrition, Physical Activity, and Obesity, CDC; 2Special Nutrition Research and Analysis Division, Food and Nutrition Service, U.S. Department of Agriculture.


References

  1. CDC. Overweight and obesity. Atlanta, GA: US Department of Health and Human Services, CDC; 2015. http://www.cdc.gov/obesity/
  2. Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis. Obes Rev 2016;17:95–107. CrossRef PubMed
  3. Freedman D. Obesity—United States, 1988–2008. In: CDC. CDC Health Disparities and Inequalities Report—United States, 2011. MMWR Suppl 2011;60(No. Suppl 1).
  4. CDC. Vital signs: obesity among low-income, preschool-aged children—United States, 2008–2011. MMWR Morb Mortal Wkly Rep 2013;62:629–34. PubMed
  5. Pan L, McGuire LC, Blanck HM, May-Murriel AL, Grummer-Strawn LM. Racial/ethnic differences in obesity trends among young low-income children. Am J Prev Med 2015;48:570–4. CrossRef PubMed
  6. CDC. A SAS program for the 2000 CDC Growth Charts (ages 0 to <20 years). Atlanta, GA: US Department of Health and Human Services, CDC; 2016. http://www.cdc.gov/nccdphp/dnpao/growthcharts/resources/sas.htm
  7. Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011–2014. NCHS Data Brief 2015;219:1–8. PubMed
  8. Wang YC, Hsiao A, Orleans CT, Gortmaker SL. The caloric calculator: average caloric impact of childhood obesity interventions. Am J Prev Med 2013;45:e3–13. CrossRef PubMed
  9. Woo Baidal JA, Locks LM, Cheng ER, Blake-Lamb TL, Perkins ME, Taveras EM. Risk factors for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med 2016;50:761–79. CrossRef PubMed
  10. Lu W, McKyer EL, Dowdy D, et al. Evaluating the influence of the revised Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Food Allocation Package on healthy food availability, accessibility, and affordability in Texas. J Acad Nutr Diet 2016;116:292–301. CrossRef PubMed
Return to your place in the textFIGURE. Prevalence of obesity* among WIC participants aged 2–4 years, overall and by race/ethnicity — United States,† 2000–2014

Abbreviation: WIC = Special Supplemental Nutrition Program for Women, Infants, and Children.

* Defined as sex-specific body mass index-for-age =95th percentile based on 2000 CDC growth charts.

† Includes data from all the WIC state agencies in 50 states (except for Hawaii data in 2002 and 2004), the District of Columbia, and five U.S. territories.

Return to your place in the textTABLE. Prevalence of obesity* among WIC participants aged 2–4 years, by WIC state agency and year — United States, the District of Columbia (DC), and five U.S. territories, 2000–2014
WIC state agency No. WIC participants aged 2–4 years Obesity prevalence (%)† Difference in adjusted obesity prevalence
2004 vs 2000 2010 vs 2004 2014 vs 2010
2000 2004 2010 2014 2000 2004 2010 2014 % Difference§ (95% CI) % Difference§ (95% CI) % Difference§ (95% CI)
Overall 2,352,648 2,648,564 3,307,442 3,016,487 14.0 15.5 15.9 14.5 1.2** (1.2 to 1.3) 0.1** (0.1 to 0.2) -1.3†† (-1.4 to -1.3)
Alabama 28,680 39,859 45,743 43,509 13.2 14.1 15.8 16.3 0.5 (0.0 to 1.0) 0.7** (0.2 to 1.2) 0.3 (-0.2 to 0.8)
Alaska 7,879 9,297 10,108 5,552 18.8 20.6 21.2 19.1 1.9** (0.7 to 3.2) 0.1 (-1.0 to 1.2) -1.7†† (-2.9 to -0.4)
Arizona 37,898 50,484 72,933 53,044 11.3 12.1 15.0 13.3 0.7** (0.3 to 1.2) 2.7** (2.3 to 3.1) -1.7†† (-2.1 to -1.3)
Arkansas 22,085 24,713 31,245 28,543 11.0 12.5 14.8 14.4 1.2** (0.6 to 1.8) 1.8** (1.2 to 2.4) -0.4 (-1.0 to 0.1)
California 449,965 482,239 583,008 551,510 16.4 16.4 18.4 16.6 0.0 (-0.2 to 0.1) 1.7** (1.6 to 1.9) -1.7†† (-1.8 to -1.6)
Colorado 20,972 25,835 39,612 33,057 8.4 9.8 9.6 8.5 0.9** (0.4 to 1.4) -0.7†† (-1.1 to -0.2) -1.0†† (-1.4 to -0.6)
Connecticut 17,973 18,421 22,988 19,839 16.9 17.8 17.1 15.3 0.7 (-0.1 to 1.5) -1.0†† (-1.7 to -0.3) -1.7†† (-2.4 to -1.1)
Delaware 4,475 5,993 7,650 7,251 14.9 15.5 18.4 17.2 -0.3 (-1.6 to 1.1) 1.6** (0.4 to 3.0) -0.3 (-1.5 to 1.0)
DC 4,806 5,165 5,182 4,608 13.4 14.0 14.4 13.0 0.0 (-1.3 to 1.3) -0.6 (-1.8 to 0.7) -1.4 (-2.6 to 0.0)
Florida 96,465 127,203 194,924 182,567 13.2 14.5 14.6 12.7 0.8** (0.5 to 1.1) -0.5†† (-0.7 to -0.2) -1.7†† (-1.9 to -1.5)
Georgia 58,132 78,835 104,959 93,386 11.5 13.3 14.4 13.0 1.0** (0.6 to 1.4) 0.7** (0.4 to 1.0) -1.3†† (-1.6 to -1.1)
Hawaii 12,377 NA 14,504 12,987 11.7 NA 9.7 10.3 NA NA 0.6 (-0.1 to 1.3)
Idaho 11,729 12,563 18,704 15,087 10.8 12.3 11.9 11.6 1.4** (0.6 to 2.3) -0.9†† (-1.5 to -0.2) -0.5 (-1.1 to 0.2)
Illinois 76,596 78,564 108,762 96,060 16.2 20.3 15.7 15.2 3.3** (2.9 to 3.8) -5.3†† (-5.6 to -5.0) -0.1 (-0.4 to 0.3)
Indiana 37,253 40,746 63,220 54,717 12.5 14.6 15.1 14.3 1.4** (0.9 to 1.9) 0.3 (-0.2 to 0.7) -0.8†† (-1.1 to -0.4)
Iowa 20,622 19,016 29,481 24,835 12.7 15.0 15.6 14.7 2.0** (1.3 to 2.7) -0.2 (-0.8 to 0.5) -0.7†† (-1.3 to -0.1)
Kansas 17,750 24,336 30,458 25,532 11.8 16.7 13.7 12.8 4.5** (3.7 to 5.3) -3.3†† (-3.9 to -2.8) -1.1†† (-1.6 to -0.5)
Kentucky 37,609 41,122 45,761 44,355 14.6 16.7 18.2 13.3 2.0** (1.4 to 2.5) 1.2** (0.7 to 1.8) -5.0†† (-5.4 to -4.6)
Louisiana 28,800 35,556 48,145 39,507 12.4 14.8 13.8 13.2 2.4** (1.8 to 3.0) -1.4†† (-1.8 to -0.9) -0.8†† (-1.2 to -0.4)
Maine 7,325 7,722 10,410 9,034 14.1 16.7 15.2 15.1 2.5** (1.3 to 3.8) -1.6†† (-2.6 to -0.5) -0.2 (-1.1 to 0.9)
Maryland 26,943 34,104 51,280 49,008 13.3 14.9 17.1 16.5 0.8** (0.3 to 1.4) 0.6** (0.1 to 1.1) -0.6†† (-1.1 to -0.2)
Massachusetts 43,334 42,986 49,178 44,350 16.3 18.1 17.1 16.6 1.5** (1.0 to 2.1) -1.0†† (-1.5 to -0.5) -0.7†† (-1.2 to -0.2)
Michigan 76,127 79,619 85,293 86,139 12.3 13.9 14.4 13.4 1.3** (0.9 to 1.6) 0.2 (-0.1 to 0.6) -0.7†† (-1.0 to -0.3)
Minnesota 28,340 41,316 57,529 47,773 12.6 13.9 12.7 12.3 1.3** (0.8 to 1.9) -1.8†† (-2.2 to -1.4) -0.6†† (-1.0 to -0.2)
Mississippi 20,068 28,505 36,519 26,007 13.2 16.4 14.9 14.5 3.3** (2.6 to 4.1) -1.8†† (-2.3 to -1.2) -0.5 (-1.1 to 0.0)
Missouri 42,380 44,784 50,575 43,895 12.0 14.6 14.4 13.0 2.3** (1.8 to 2.8) -0.2 (-0.6 to 0.2) -1.5†† (-1.9 to -1.1)
Montana 7,435 7,509 7,194 7,288 10.5 12.2 13.4 12.5 1.5** (0.5 to 2.6) 0.9 (-0.1 to 2.1) -0.9 (-1.9 to 0.1)
Nebraska 10,444 13,859 15,622 13,726 13.2 14.2 14.4 16.9 0.1 (-0.7 to 1.0) -0.4 (-1.1 to 0.4) 2.5** (1.6 to 3.4)
Nevada 14,955 13,801 25,855 26,884 11.8 15.7 15.0 12.0 3.4** (2.6 to 4.3) -0.9†† (-1.6 to -0.2) -2.8†† (-3.3 to -2.2)
New Hampshire 5,667 5,707 7,263 5,551 14.2 14.8 15.0 15.1 0.4 (-0.9 to 1.7) 0.1 (-1.1 to 1.4) 0.0 (-1.2 to 1.3)
New Jersey 37,374 43,686 59,000 56,815 18.6 18.7 18.9 15.3 -0.3 (-0.8 to 0.2) -0.5†† (-1.0 to -0.1) -3.4†† (-3.8 to -3.0)
New Mexico 19,951 19,047 21,968 20,515 8.2 11.0 15.7 12.5 2.8** (2.1 to 3.5) 4.4** (3.7 to 5.2) -3.3†† (-3.9 to -2.7)
New York 151,124 161,904 186,760 195,413 16.5 17.4 16.1 14.3 0.7** (0.4 to 1.0) -1.5†† (-1.7 to -1.3) -1.7†† (-1.9 to -1.5)
North Carolina 52,651 62,956 89,798 92,407 11.6 13.6 13.9 15.0 1.3** (0.9 to 1.7) -0.4†† (-0.7 to -0.03) 1.3** (1.0 to 1.6)
North Dakota 5,049 4,848 5,484 4,586 10.8 12.7 14.5 14.4 1.5** (0.2 to 2.9) 1.2 (-0.1 to 2.6) 0.0 (-1.3 to 1.4)
Ohio 78,769 88,873 102,803 81,440 11.6 12.1 12.6 13.1 0.3 (0.0 to 0.6) 0.4** (0.1 to 0.7) 0.3** (0.03 to 0.6)
Oklahoma 28,650 27,244 37,849 32,754 11.1 13.7 15.4 13.8 2.0** (1.4 to 2.6) 1.2** (0.6 to 1.8) -1.7†† (-2.2 to -1.2)
Oregon 23,948 33,521 43,209 38,378 14.7 14.8 15.8 15.0 -0.4 (-1.0 to 0.2) 0.5** (0.03 to 1.0) -0.7†† (-1.2 to -0.2)
Pennsylvania 77,518 81,491 96,762 84,996 12.1 12.6 12.8 12.9 0.2 (-0.1 to 0.5) 0.0 (-0.3 to 0.3) 0.1 (-0.2 to 0.4)
Rhode Island 7,005 7,498 10,783 8,853 17.3 18.3 16.4 16.3 0.8 (-0.4 to 2.1) -1.9†† (-2.9 to -0.8) -0.3 (-1.3 to 0.8)
South Carolina 27,083 28,169 39,785 32,346 12.3 15.6 13.3 12.0 2.8** (2.2 to 3.4) -2.8†† (-3.2 to -2.3) -1.4†† (-1.8 to -0.9)
South Dakota 6,274 6,697 7,884 5,179 12.0 14.9 17.3 17.1 3.1** (1.8 to 4.5) 1.5** (0.3 to 2.8) -0.5 (-1.7 to 0.9)
Tennessee 43,309 48,114 57,153 54,429 11.8 13.5 16.0 14.9 1.2** (0.7 to 1.6) 1.7** (1.3 to 2.2) -1.0†† (-1.4 to -0.6)
Texas 255,124 306,999 361,823 307,498 12.5 15.9 16.9 14.9 3.3** (3.1 to 3.5) 0.7** (0.5 to 0.8) -1.6†† (-1.8 to -1.5)
Utah 19,555 21,345 26,045 22,919 10.3 12.3 12.5 8.2 2.0** (1.3 to 2.7) -0.7†† (-1.2 to -0.1) -4.3†† (-4.7 to -3.8)
Vermont 5,848 6,308 6,964 5,574 12.5 14.6 13.8 14.1 2.0** (0.7 to 3.3) -0.7 (-1.8 to 0.6) 0.1 (-1.1 to 1.4)
Virginia 45,135 42,233 48,920 57,983 14.0 18.3 21.5 20.0 3.8** (3.2 to 4.3) 1.7** (1.2 to 2.2) -1.5†† (-2.0 to -1.1)
Washington 56,173 63,851 78,336 76,564 13.4 14.5 14.9 13.6 0.7** (0.3 to 1.1) -0.3 (-0.7 to 0.1) -1.4†† (-1.7 to -1.1)
West Virginia 15,654 17,687 17,669 14,902 11.9 13.7 14.4 16.4 1.6** (0.9 to 2.4) 0.8** (0.1 to 1.6) 1.9** (1.1 to 2.8)
Wisconsin 35,780 39,710 48,511 39,965 11.6 14.4 15.2 14.7 2.5** (2.0 to 3.0) 0.2 (-0.2 to 0.7) -0.6†† (-1.1 to -0.2)
Wyoming 3,596 3,658 4,413 3,731 8.1 10.0 11.8 9.9 2.1** (0.7 to 3.7) 1.0 (-0.3 to 2.5) -2.1†† (-3.2 to -0.8)
Territory
American Samoa 2,028 3,157 3,221 3,160 16.5 16.8 14.6 16.3 0.4 (-1.6 to 2.7) -2.3†† (-3.9 to -0.6) 1.6 (-0.1 to 3.6)
Guam 1,415 1,842 3,248 2,737 10.7 11.6 11.4 8.7 0.7 (-1.3 to 3.2) -0.1 (-1.8 to 1.9) -2.8†† (-4.1 to -1.4)
Northern Mariana Islands NA NA 2,157 1,808 NA NA 14.1 9.0 NA NA -5.3†† (-6.7 to -3.5)
Puerto Rico 75,865 85,711 70,699 74,118 22.1 21.3 20.3 13.9 -1.0†† (-1.4 to -0.6) -1.1†† (-1.4 to -0.7) -6.4†† (-6.7 to -6.1)
Virgin Islands 2,686 2,156 2,093 1,816 11.4 12.0 12.4 11.9 0.5 (-1.2 to 2.5) 0.4 (-1.5 to 2.5) -0.5 (-2.4 to 1.7)

Abbreviation: NA = No data collected, or data were considered unreliable if sample size was <50 or prevalence changed by >10 percentage points from previous year.
*Defined as sex-specific body mass index-for-age ≥the 95th percentile on the CDC growth charts.
† Crude prevalence of obesity.
§ Calculated as [prevalence at beginning of period] x [adjusted prevalence ratio] – [prevalence at beginning of period]. The adjusted prevalence ratios that represent relative changes in obesity prevalence between two inflection years were calculated from log binomial regression models adjusted for age, sex, and race/ethnicity.
Includes data from all the WIC state agencies in 50 states, DC, and five U.S. territories, except for Hawaii data in 2002 and 2004.
** Statistically significant increase based on log binomial regression model adjusted for age, sex, and race/ethnicity.
†† Statistically significant decrease based on log binomial regression model adjusted for age, sex, and race/ethnicity.

Suggested citation for this article: Pan L, Freedman DS, Sharma AJ, et al. Trends in Obesity Among Participants Aged 2–4 Years in the Special Supplemental Nutrition Program for Women, Infants, and Children — United States, 2000–2014. MMWR Morb Mortal Wkly Rep 2016;65:1256–1260. DOI: http://dx.doi.org/10.15585/mmwr.mm6545a2.

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