
Trends in Sugar-Sweetened Beverage Intake Among Young Children, United States, 2021–2023
RESEARCH BRIEF — Volume 22 — September 4, 2025
Mary Ellen Grap, MPH1,2; Sofia Awan, MPH1,2; Carrie A. Dooyema, MSN, MPH, RN1; Julie L. Self, PhD, MPH1; Ann M. Goding Sauer, MSPH1; Kristin J. Marks, PhD, MPH1,3; Heather C. Hamner, PhD, MS, MPH1 (View author affiliations)
Suggested citation for this article: Grap ME, Awan S, Dooyema CA, Self JL, Goding Sauer AM, Marks KJ, et al. Trends in Sugar-Sweetened Beverage Intake Among Young Children, United States, 2021–2023. Prev Chronic Dis 2025;22:250195. DOI: http://dx.doi.org/10.5888/pcd22.250195.
PEER REVIEWED
What is already known on this topic?
Sugar-sweetened beverages (SSBs) are a leading source of added sugars in the diets of young children in the US, and many children exceed recommendations for added sugars.
What is added by this report?
National estimates from the National Survey of Children’s Health (2021–2023) show that SSB intake among young children has remained largely stable, although intake decreased in a few states.
What are the implications for public health practice?
Emphasizing the importance of limiting intake of added sugars in existing state or jurisdictional and national programs and policies that affect young children could improve their nutrition and support optimal growth and health. Understanding progress in some states or jurisdictions may be important for designing public health programs.
Abstract
We used data from the National Survey of Children's Health in 2021, 2022, and 2023 to examine trends in sugar-sweetened beverage (SSB) intake among children aged 1 to 5 years in the US. We performed trend analyses nationally, by age group, and by state and jurisdiction (District of Columbia) for 2 frequencies of intake: 1 to 3 times per week and 4 or more times per week, with "none" as the referent group. We found no significant linear trends at the national level. Two states had significant linear trends for SSB intake 1 to 3 times per week, and 6 states and the District of Columbia had significant linear trends for SSB intake ≥4 times per week. State public health professionals can use these data to understand recent SSB intake among children.
Objective
Nutrition during the first 5 years of life is critical to support the health and development of children (1). Consumption of added sugars is associated with type 2 diabetes, metabolic syndrome, cardiovascular disease, obesity, asthma, and dental caries (2,3). Sugar-sweetened beverages (SSBs) are the leading contributor of added sugars to the diets of young children in the US (4). The Dietary Guidelines for Americans 2020–2025 recommends that children younger than 2 years do not consume any added sugars and children 2 years or older limit added sugars to less than 10% of daily calories (1). The National Survey of Children’s Health (NSCH) first collected data on SSB intake among young children in 2021. It found that 36.4% of children aged 1 to 5 years consumed SSBs 1 to 3 times in the previous week, 21.0% consumed SSBs 4 or more times per week, and prevalence varied by state (5,6). A gap exists in understanding how the prevalence of SSB consumption has changed nationally and by state and jurisdiction since 2021. A previous study found a significant decrease in SSB intake among children aged 2 to 8 years from 2001 to 2018 (4). To understand more recent trends, we examined SSB intake nationally and by the 50 states and 1 jurisdiction (District of Columbia) among children aged 1 to 5 years from 2021 through 2023.
Methods
NSCH is a nationally representative survey that collects data on the physical and emotional health of noninstitutionalized children aged 0 to 17 years in the US (7). The survey is funded and directed by the Health Resources and Services Administration's Maternal and Child Health Bureau and is conducted by the US Census Bureau; data have been collected annually since 2016 for approximately 6 or 7 months from June or July to mid-January of the next year (7). Households are randomly sampled, and 1 child or adolescent is selected. Age-specific questionnaires are completed by an adult familiar with the selected child's or adolescent's health and health care (7).
We assessed changes in SSB consumption nationally and by state and jurisdiction over time among children aged 1 to 5 years by using data from 3 survey years: 2021 (N = 18,551), 2022 (N = 17,534), and 2023 (N = 19,314). The weighted overall response rates for NSCH were 40.3% in 2021, 39.1% in 2022, and 35.8% in 2023 (7-9). Beginning in 2021, caregivers were asked, "During the past week, how many times did this child drink sugary drinks such as soda, fruit drinks, sports drinks, or sweet tea? (Do not include 100% fruit juice.)" (7). Response options were categorized into 3 frequency groups: none, 1 to 3 times per week, or 4 or more times per week.
We calculated weighted percentages and 95% CIs for SSB intake nationally according to NSCH guidance, nationally by age group (aged 1–2 and 3–5 years) and by state or jurisdiction. We used SAS-callable SUDAAN version 11 (RTI International) to conduct a trend analysis. We used polynomial logistic regression with a quadratic time variable to test nonlinearity. Where we found no evidence of nonlinearity, we ran a logistic regression model with only a linear time variable. The reference group was children who had no intake of SSBs (“none”). We considered P values of <.05 significant. This activity was reviewed by the Centers for Disease Control and Prevention, deemed research not involving human subjects, and was conducted consistent with applicable federal law and CDC policy.
Results
Nationally, among children aged 1 to 5 years, the prevalence of no SSB intake in the past week was 42.7% in 2021, 42.0% in 2022, and 44.1% in 2023. We found no significant trend in the prevalence of young children who consumed SSBs 1 to 3 times per week (2021, 36.0%; 2022, 36.3%; 2023, 35.9%; P = .52). The prevalence of SSB intake 4 or more times per week was also stable during the study period (2021, 21.4%; 2022, 21.7%; 2023, 20.0%; P = .17) (Figure 1, Appendix Table 1). Children aged 3 to 5 years had a greater frequency of SSB intake overall when compared with children aged 1 to 2 years for all years (2021–2023).
Figure 1.
National prevalence of sugar-sweetened beverage intake, by frequency and survey year, among all children aged 1 to 5 years and by age group, National Survey of Children’s Health 2021–2023. [A tabular version of this figure is available.]
We found differences in SSB intake at the state and jurisdictional levels. In 2023, the prevalence of children aged 1 to 5 years who reported no SSB intake in the past week ranged from 26.3% in Louisiana to 65.8% in New Hampshire (Figure 2, Appendix Table 2). In that year, SSB intake 1 to 3 times per week ranged from 23.2% in New Hampshire to 50.5% in Wyoming, and SSB intake 4 or more times per week ranged from 7.7% in Vermont to 36.4% in Mississippi. Two states, New Jersey and Tennessee, had significant decreasing linear trends for SSB intake 1 to 3 times per week. Three states — Florida, Indiana, and Tennessee — and the District of Columbia had significant decreasing linear trends for SSB intake 4 or more times per week when compared with no SSB intake in the past week. Three states — Kansas, Pennsylvania, and Virginia — had significant increasing linear trends for SSB intake 4 or more times per week.
Figure 2.
Trends in sugar-sweetened beverage (SSB) intake among children aged 1 to 5 years, by frequency and state, National Survey of Children’s Health 2021–2023. A significant decreasing linear trend in SSB intake 1–3 times per week was found in New Jersey and Tennessee. A significant linear trend for SSB intake ≥4 times per week was found in Kansas, Pennsylvania, and Virginia (increasing) and in the District of Columbia, Florida, Indiana, and Tennessee (decreasing). [A tabular version of this figure is available.]
Discussion
We investigated trends of SSB intake among children aged 1 to 5 years in the US at the national and state or jurisdictional level using data from 2021 through 2023. We found that SSB intake was stable at the national level and among age groups during the 3 years examined. However, we observed several significant trends among states and the District of Columbia.
Although we found a significant increase in SSB intake in 3 states from 2021 to 2023, SSB intake significantly decreased in 4 states and the District of Columbia. Tennessee had significant decreasing trends in both frequencies of SSB intake: 1 to 3 times per week and 4 or more times per week. Factors affecting SSB intake may be multifaceted; therefore, trends may not be explained by a single, specific change but may be affected by factors at the individual, household, environmental, and policy levels (5,10). Multilevel approaches could address SSB intake among children. States and jurisdictions could use various approaches to reduce intake, such as early care and education licensing to prohibit serving SSBs, as was enacted in Tennessee in 2022 (11), and educational campaigns at the state and jurisdictional levels, such as Rethink Your Drink in California (12) and NJSugarfreed in New Jersey (12).
This study has several strengths. The data are timely and nationally representative. In addition, because of oversampling, the study provides representative estimates at the state and jurisdictional level for children aged 1 to 5 years. This is the first time that SSB trends for this age group could be analyzed at the state and jurisdictional levels. The study’s limitations include potential recall and social desirability bias of the caregiver report. NSCH did not collect data on the type and quantity of SSBs consumed, which limits interpretability and direct comparisons with recommendations of the Dietary Guidelines for Americans 2020–2025. NSCH also did not collect information to explain why intake changed in some states. In addition, only 3 years of SSB data with oversampling of this age group are currently available. Continued surveillance is important to understand long-term trends of SSB intake among young children.
Nationally, SSB intake among young children was stable during the study period, while some states and the District of Columbia saw significant decreases in intake. Understanding actions taken by these states and this jurisdiction that might be contributing to reduced SSB intake is important to help other states and jurisdictions apply strategies to support optimal nutrition among young children in the US.
Acknowledgments
The authors declare no potential conflicts of interest with respect to the research, authorship, or publication of this article. The authors received no external financial support for the research, authorship, or publication of this article. No copyrighted material was used in this research or article. This analysis was performed with publicly available data. Sofia Awan and Mary Ellen Grap were supported in part by an appointment to the Research Participation Program at CDC administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the US Department of Energy and CDC. The authors thank Kathleen Watson for statistical expertise and review of methodology. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of CDC.
Author Information
Corresponding Author: Kristin J. Marks, PhD, MPH, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Mailstop S107-5, 4770 Buford Hwy NE, Atlanta, GA 30341 (kma8@cdc.gov).
Author Affiliations: 1Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia. 2Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee. 3US Public Health Service Commissioned Corps, Rockville, Maryland.
References
- US Department of Agriculture; US Department of Health and Human Services. Dietary Guidelines for Americans, 2020–2025. 9th edition. Published December 2020. Accessed November 25, 2024. https://www.dietaryguidelines.gov/sites/default/files/2021-03/Dietary_Guidelines_for_Americans-2020-2025.pdf
- Huang Y, Chen Z, Chen B, Li J, Yuan X, Li J, et al. . Dietary sugar consumption and health: umbrella review. BMJ. 2023;381:e071609. PubMed doi:10.1136/bmj-2022-071609
- Xie L, Atem F, Gelfand A, Delclos G, Messiah SE. Association between asthma and sugar-sweetened beverage consumption in the United States pediatric population. J Asthma. 2022;59(5):926–933. PubMed doi:10.1080/02770903.2021.1895210
- Ricciuto L, Fulgoni VL III, Gaine PC, Scott MO, DiFrancesco L. Trends in added sugars intake and sources among US children, adolescents, and teens using NHANES 2001–2018. J Nutr. 2022;152(2):568–578. PubMed doi:10.1093/jn/nxab395
- Grap ME, Hamner HC, Dooyema C, Noiman A, Park S. Factors associated with sugar-sweetened beverage intake among young children — United States, 2021. Prev Chronic Dis. 2024;21:E17. PubMed doi:10.5888/pcd21.230354
- Hamner HC, Dooyema CA, Blanck HM, Flores-Ayala R, Jones JR, Ghandour RM, et al. . Fruit, vegetable, and sugar-sweetened beverage intake among young children, by state — United States, 2021. MMWR Morb Mortal Wkly Rep. 2023;72(7):165–170. PubMed doi:10.15585/mmwr.mm7207a1
- US Census Bureau. 2021 National Survey of Children’s Health: Data Users Frequently Asked Questions. October 2022. Accessed November 1, 2024. https://www2.census.gov/programs-surveys/nsch/technical-documentation/methodology/2021-NSCH-FAQs.pdf
- US Census Bureau. 2022 National Survey of Children’s Health: Data Users Frequently Asked Questions. October 2023. Accessed November 1, 2024. https://www2.census.gov/programs-surveys/nsch/technical-documentation/methodology/2022-NSCH-FAQs.pdf
- US Census Bureau. 2023 National Survey of Children’s Health: Data Users Frequently Asked Questions. October 2024. Accessed November 1, 2024. https://www2.census.gov/programs-surveys/nsch/technical-documentation/methodology/2023-NSCH-FAQs.pdf
- Oudat Q, Messiah SE, Ghoneum AD, Okour A. A narrative review of multifactorial determinants of childhood eating behaviors: insights and interventions using the social ecological model. Children (Basel). 2025;12(3):388. PubMed doi:10.3390/children12030388
- University of Colorado Anschutz Medical Campus College of Nursing. 2022 Annual Report: Achieving a State of Healthy Weight. 2023. Accessed November 22, 2024. https://nursing.cuanschutz.edu/docs/librariesprovider2/research/ashw/ashw-2022-report.pdf?sfvrsn=e21804bb_4
- #NjSugarfreed. Approaches to reducing SSB consumption. 2025. Accessed March 1, 2025. https://njsugarfreed.org/resources/approaches
Appendix. Supplemental Tables
Age group, y | None, % (95% CI) | 1-3 Times per week, % (95% CI) | ≥4 Times per week, % (95% CI) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2021 | 2022 | 2023 | 2021 | 2022 | 2023 | P valuea | 2021 | 2022 | 2023 | P valueb | |
All | 42.7 (41.0–44.3) | 42.0 (40.5–43.5) | 44.1 (42.6–45.6) | 36.0 (34.3–37.6) | 36.3 (34.9–37.8) | 35.9 (34.5–37.4) | .52 | 21.4 (19.8–23.0) | 21.7 (20.3–23.2) | 20.0 (18.6–21.5) | .17 |
1–2 | 58.4 (55.6–61.2) | 57.6 (55.0–60.3) | 62.1 (59.3–64.8) | 27.9 (25.3–30.6) | 29.3 (26.8–31.8) | 25.1 (22.9–27.4) | .08 | 13.7 (11.9–15.7) | 13.1 (11.4–15.1) | 12.8 (10.6–15.4) | .35 |
3–5 | 32.7 (30.8–34.7) | 32.1 (30.5–33.9) | 32.8 (31.2–34.5) | 41.1 (38.9–43.2) | 40.8 (38.9–42.6) | 42.7 (40.8–44.5) | .56 | 26.2 (24.0–28.5) | 27.1 (25.2–29.1) | 24.5 (22.8–26.4) | .42 |
a P value testing for linear trend for 1–3 times per week from logistic regression modeling with a linear time variable and “none” as the referent group.
b P value testing for linear trend for ≥4 times per week from logistic regression modeling with a linear time variable and “none” as the referent group.
State or jurisdiction | None, % (95% CI) | 1–3 Times per week, % (95% CI) | ≥4 Times per week, % (95% CI) | ||||||
---|---|---|---|---|---|---|---|---|---|
2021 | 2022 | 2023 | 2021 | 2022 | 2023 | 2021 | 2022 | 2023 | |
All, n | 8,700 | 8,121 | 9,142 | 6,742 | 6,371 | 7,106 | 3,109 | 3,042 | 3,066 |
Alabama | 33.3 (26.3–41.2) | 29.3 (22.5–37.2) | 36.5 (29.4–44.3) | 31.5 (25.5–38.1) | 34.0 (26.5–42.5) | 34.6 (28.0–42.0) | 35.2 (28.0–43.1) | 36.6 (28.2–46.0) | 28.8 (22.2–36.4) |
Alaskaa | 48.9 (40.4–57.4) | 46.1 (37.6–54.9) | 50.3 (41.2–59.3) | 38.0 (30.1–46.6) | 30.1 (22.5–38.9) | 40.5 (31.9–49.7) | 13.1 (8.2–20.5) | 23.8 (16.4–33.3) | 9.3 (5.1–16.3) |
Arizona | 39.9 (31.7–48.7) | 34.2 (25.9–43.6) | 44.4 (35.6–53.6) | 35.0 (27.6–43.3) | 41.0 (31.8–51.0) | 39.3 (31.3–48.0) | 25.1 (17.3–34.9) | 24.8 (16.6–35.3) | 16.2 (11.3–22.9) |
Arkansas | 32.9 (25.6–41.1) | 28.7 (21.9–36.6) | 26.4 (20.7–33.0) | 38.0 (30.0–46.7) | 45.7 (37.3–54.3) | 42.4 (34.8–50.3) | 29.1 (22.0–37.5) | 25.7 (19.4–33.1) | 31.3 (23.8–39.9) |
California | 44.0 (36.8–51.5) | 51.8 (46.7–56.8) | 48.4 (44.6–52.3) | 36.6 (29.1–44.7) | 33.8 (29.3–38.7) | 38.2 (34.4–42.1) | 19.4 (13.5–27.2) | 14.4 (11.2–18.4) | 13.4 (10.9–16.4) |
Colorado | 45.0 (38.9–51.3) | 46.7 (40.0–53.5) | 42.0 (35.6–48.7) | 40.8 (34.7–47.2) | 41.3 (34.8–48.2) | 44.4 (37.7–51.3) | 14.2 (9.9–19.9) | 12.0 (8.3–17.1) | 13.6 (9.1–19.9) |
Connecticut | 55.8 (47.6–63.8) | 62.3 (54.5–69.5) | 50.9 (42.3–59.5) | 32.5 (25.0–40.9) | 23.6 (18.4–29.7) | 29.8 (22.7–37.9) | 11.7 (7.0–19.0) | 14.1 (8.7–21.9) | 19.3 (13.0–27.6) |
Delaware | 45.5 (37.8–53.5) | 41.9 (33.2–51.2) | 47.3 (38.7–55.9) | 34.2 (26.8–42.4) | 32.5 (24.3–41.9) | 31.8 (24.7–39.8) | 20.3 (14.1–28.2) | 25.6 (18.0–35.0) | 20.9 (14.1–30.0) |
District of Columbiab | 48.8 (39.5–58.3) | 59.8 (50.2–68.6) | 57.8 (48.0–67.0) | 25.4 (17.7–35.0) | 29.7 (21.7–39.2) | 28.7 (20.4–38.7) | 25.8 (17.6–36.2) | 10.6 (5.6–18.9) | 13.5 (7.7–22.8) |
Floridac | 43.0 (34.9–51.5) | 49.0 (40.4–57.7) | 50.3 (41.9–58.7) | 25.2 (19.0–32.6) | 31.7 (24.5–39.8) | 31.8 (24.6–40.0) | 31.8 (23.7–41.1) | 19.3 (13.0–27.8) | 17.9 (11.7–26.4) |
Georgia | 38.8 (32.7–45.3) | 31.8 (25.9–38.4) | 37.0 (30.2–44.3) | 38.7 (32.5–45.3) | 44.8 (37.6–52.1) | 39.5 (32.2–47.3) | 22.5 (17.2–28.9) | 23.4 (17.9–30.0) | 23.5 (17.3–31.1) |
Hawaiid | 46.1 (39.0–53.4) | 61.5 (52.1–70.1) | 36.7 (28.3–45.9) | 39.5 (32.4–47.1) | 25.3 (18.3–33.9) | 46.2 (36.9–55.8) | 14.3 (10.4–19.4) | 13.2 (7.8–21.5) | 17.1 (10.6–26.5) |
Idaho | 31.3 (24.4–39.3) | 33.0 (26.2–40.6) | 33.5 (26.0–42.0) | 43.7 (35.5–52.4) | 41.8 (34.1–50.0) | 47.3 (38.4–56.4) | 24.9 (18.2–33.1) | 25.1 (18.5–33.2) | 19.1 (13.3–26.7) |
Illinois | 48.3 (40.9–55.8) | 43.2 (35.5–51.3) | 42.4 (36.7–48.3) | 31.6 (25.5–38.4) | 31.1 (24.7–38.3) | 38.4 (32.7–44.3) | 20.1 (14.1–27.9) | 25.7 (18.7–34.1) | 19.2 (14.6–24.9) |
Indianae | 32.6 (26.6–39.4) | 36.8 (29.9–44.3) | 43.0 (35.9–50.4) | 43.7 (36.3–51.3) | 39.8 (32.4–47.7) | 39.5 (32.2–47.2) | 23.7 (17.5–31.2) | 23.4 (17.1–31.0) | 17.5 (12.7–23.6) |
Iowaf | 44.1 (36.9–51.5) | 35.0 (28.2–42.5) | 42.4 (34.6–50.6) | 39.0 (32.1–46.3) | 51.3 (43.2–59.4) | 37.2 (29.7–45.4) | 17.0 (12.4–22.8) | 13.6 (9.6–19.0) | 20.4 (13.9–29.0) |
Kansasg | 45.6 (38.6–52.7) | 48.5 (40.1–57.1) | 37.2 (33.0–41.5) | 39.9 (33.3–46.7) | 34.1 (26.9–42.0) | 42.3 (37.8–46.9) | 14.6 (10.2–20.4) | 17.4 (11.8–24.9) | 20.6 (16.9–24.9) |
Kentucky | 41.7 (34.0–49.8) | 31.8 (25.0–39.5) | 40.3 (32.5–48.6) | 33.5 (26.8–40.9) | 40.8 (32.7–49.4) | 35.5 (27.9–43.9) | 24.9 (19.0–31.8) | 27.4 (20.4–35.8) | 24.3 (18.2–31.6) |
Louisiana | 29.8 (23.0–37.6) | 36.9 (28.5–46.2) | 26.3 (22.3–30.8) | 41.5 (33.9–49.4) | 33.8 (26.1–42.6) | 38.0 (33.1–43.2) | 28.8 (22.0–36.6) | 29.3 (21.6–38.4) | 35.7 (30.6–41.1) |
Maine | 62.3 (55.6–68.5) | 57.5 (49.9–64.8) | 64.5 (56.4–71.8) | 27.8 (22.3–34.1) | 31.4 (24.8–39.0) | 24.9 (18.7–32.3) | 9.9 (6.9–14.0) | 11.0 (7.3–16.3) | 10.6 (6.5–16.9) |
Maryland | 41.3 (33.0–50.2) | 48.5 (40.0–57.0) | 44.2 (36.2–52.6) | 36.9 (28.8–45.9) | 31.0 (23.9–39.2) | 32.2 (25.0–40.4) | 21.8 (14.8–30.7) | 20.5 (13.9–29.1) | 23.5 (16.5–32.4) |
Massachusetts | 53.8 (45.4–62.0) | 52.5 (44.0–60.9) | 51.9 (43.3–60.3) | 31.3 (24.2–39.4) | 36.0 (27.9–44.8) | 32.4 (25.2–40.5) | 14.9 (9.2–23.3) | 11.5 (6.6–19.3) | 15.8 (9.3–25.4) |
Michigan | 47.2 (39.4–55.1) | 44.9 (37.2–52.9) | 50.9 (43.3–58.5) | 35.2 (28.1–43.0) | 30.9 (24.6–38.1) | 33.3 (26.6–40.8) | 17.6 (12.7–23.9) | 24.1 (17.4–32.5) | 15.8 (10.7–22.7) |
Minnesota | 44.4 (36.6–52.6) | 51.7 (44.0–59.3) | 49.7 (44.8–54.5) | 38.7 (30.7–47.4) | 36.2 (29.3–43.7) | 37.0 (32.4–41.8) | 16.8 (10.8–25.2) | 12.2 (7.4–19.3) | 13.3 (9.9–17.8) |
Mississippi | 21.8 (16.1–28.8) | 25.1 (17.4–34.9) | 26.4 (19.9–34.1) | 48.0 (39.7–56.3) | 40.4 (31.7–49.8) | 37.2 (28.9–46.4) | 30.3 (23.4–38.1) | 34.4 (26.0–44.0) | 36.4 (28.0–45.8) |
Missouri | 40.4 (32.8–48.4) | 40.0 (32.1–48.5) | 43.4 (35.6–51.5) | 39.9 (32.4–47.8) | 39.3 (31.4–47.8) | 31.8 (25.3–39.0) | 19.7 (14.0–27.1) | 20.7 (14.5–28.6) | 24.8 (17.3–34.4) |
Montana | 38.8 (31.1–47.2) | 41.1 (33.2–49.5) | 40.1 (32.4–48.4) | 47.8 (39.5–56.1) | 34.7 (27.6–42.7) | 40.7 (32.8–49.0) | 13.4 (8.4–20.8) | 24.2 (17.1–33.1) | 19.2 (12.1–29.2) |
Nebraska | 41.4 (34.1–49.0) | 36.8 (30.1–44.0) | 37.0 (30.5–43.9) | 44.4 (37.0–52.1) | 44.0 (37.0–51.3) | 41.5 (34.4–48.9) | 14.2 (9.5–20.8) | 19.2 (13.3–26.8) | 21.5 (15.3–29.4) |
Nevada | 45.7 (37.5–54.3) | 33.2 (25.3–42.2) | 40.3 (31.9–49.3) | 37.9 (30.0–46.5) | 45.2 (36.0–54.7) | 41.5 (32.9–50.6) | 16.3 (11.3–23.1) | 21.6 (15.4–29.5) | 18.2 (13.0–24.9) |
New Hampshire | 58.3 (50.5–65.6) | 63.8 (56.1–70.9) | 65.8 (58.5–72.4) | 30.4 (24.1–37.5) | 28.6 (22.0–36.1) | 23.2 (18.1–29.1) | 11.4 (6.5–19.1) | 7.6 (4.5–12.5) | 11.0 (7.1–16.9) |
New Jerseyh | 46.2 (38.8–53.9) | 52.3 (43.7–60.8) | 58.4 (50.3–66.0) | 38.1 (30.5–46.3) | 29.9 (23.2–37.5) | 26.5 (20.5–33.4) | 15.6 (11.3–21.2) | 17.8 (11.1–27.4) | 15.2 (9.8–22.8) |
New Mexicoi | 33.5 (25.2–43.0) | 26.7 (20.7–33.6) | 35.7 (29.0–43.1) | 39.1 (30.4–48.5) | 39.8 (32.3–47.9) | 43.4 (36.3–50.9) | 27.4 (20.1–36.2) | 33.5 (26.4–41.6) | 20.8 (15.6–27.2) |
New York | 51.8 (43.9–59.6) | 48.3 (44.5–52.1) | 48.3 (40.1–56.6) | 31.0 (24.2–38.7) | 32.9 (29.3–36.7) | 35.6 (27.6–44.6) | 17.2 (12.1–23.8) | 18.8 (16.0–22.1) | 16.0 (11.0–22.8) |
North Carolinaj | 46.7 (38.2–55.4) | 35.3 (27.2–44.3) | 43.8 (35.5–52.3) | 32.9 (25.2–41.7) | 32.8 (24.3–42.5) | 34.0 (26.0–43.0) | 20.4 (14.2–28.4) | 31.9 (23.1–42.3) | 22.3 (15.2–31.5) |
North Dakota | 37.7 (30.9–45.1) | 41.3 (33.5–49.6) | 39.0 (31.7–46.8) | 47.2 (40.0–54.4) | 48.3 (40.1–56.5) | 46.2 (38.4–54.1) | 15.1 (10.4–21.3) | 10.4 (6.3–16.8) | 14.9 (9.9–21.9) |
Ohio | 48.4 (42.2–54.6) | 44.7 (38.5–51.1) | 49.0 (43.6–54.3) | 32.4 (27.0–38.3) | 34.3 (28.6–40.6) | 31.3 (26.6–36.3) | 19.2 (14.8–24.7) | 21.0 (16.2–26.6) | 19.8 (15.6–24.8) |
Oklahoma | 26.6 (20.2–34.2) | 31.2 (23.4–40.2) | 29.0 (22.3–36.7) | 47.6 (39.7–55.7) | 42.5 (33.6–51.9) | 46.0 (38.4–53.9) | 25.7 (18.7–34.2) | 26.3 (19.1–35.2) | 25.0 (18.4–32.9) |
Oregon | 50.9 (46.1–55.7) | 50.7 (45.3–56.0) | 45.9 (37.4–54.6) | 36.9 (32.3–41.7) | 37.0 (31.8–42.5) | 38.8 (30.4–47.9) | 12.2 (9.4–15.7) | 12.3 (9.3–16.1) | 15.3 (9.8–23.2) |
Pennsylvaniak | 54.9 (46.6–62.9) | 44.3 (37.9–50.9) | 44.4 (38.4–50.6) | 32.4 (25.1–40.6) | 39.0 (32.6–45.8) | 35.0 (29.3–41.1) | 12.8 (8.1–19.6) | 16.7 (12.6–21.9) | 20.6 (15.5–26.9) |
Rhode Island | 48.7 (40.5–56.9) | 58.2 (49.7–66.2) | 57.4 (48.8–65.6) | 35.7 (27.8–44.4) | 30.6 (23.3–39.0) | 26.6 (20.2–34.3) | 15.6 (10.5–22.5) | 11.2 (7.7–16.0) | 16.0 (10.3–23.9) |
South Carolina | 37.0 (29.5–45.2) | 40.6 (33.2–48.5) | 39.8 (31.9–48.4) | 34.2 (26.8–42.4) | 35.7 (28.3–43.8) | 32.8 (25.6–40.8) | 28.8 (21.4–37.6) | 23.7 (17.6–31.1) | 27.4 (20.3–35.8) |
South Dakota | 41.2 (34.7–48.0) | 44.6 (36.0–53.4) | 37.4 (29.2–46.4) | 45.4 (38.5–52.4) | 43.4 (34.8–52.3) | 47.8 (39.1–56.6) | 13.5 (9.1–19.5) | 12.1 (7.4–19.1) | 14.8 (9.0–23.3) |
Tennesseel | 27.8 (21.4–35.3) | 32.7 (28.0–37.9) | 43.4 (36.7–50.4) | 41.7 (33.6–50.2) | 40.0 (34.3–46.0) | 34.2 (28.1–40.9) | 30.5 (23.7–38.2) | 27.3 (22.2–33.1) | 22.4 (17.2–28.5) |
Texas | 30.7 (24.0–38.3) | 26.4 (19.5–34.7) | 35.3 (27.3–44.2) | 38.2 (30.4–46.7) | 40.6 (32.2–49.5) | 34.4 (26.5–43.3) | 31.1 (23.5–40.0) | 33.0 (24.7–42.7) | 30.3 (21.6–40.6) |
Utah | 32.2 (26.7–38.2) | 32.9 (26.2–40.5) | 35.3 (28.7–42.5) | 46.4 (40.1–52.9) | 44.0 (36.5–51.8) | 44.2 (36.8–51.9) | 21.4 (16.8–26.9) | 23.1 (16.8–30.8) | 20.5 (14.4–28.3) |
Vermont | 59.3 (51.5–66.6) | 56.9 (48.4–65.0) | 59.3 (51.1–67.0) | 31.7 (24.8–39.5) | 34.1 (26.4–42.6) | 33.0 (25.6–41.3) | 9.0 (5.2–15.2) | 9.1 (6.0–13.5) | 7.7 (4.6–12.7) |
Virginiam | 54.4 (45.8–62.7) | 43.2 (35.7–50.9) | 45.1 (37.3–53.1) | 32.2 (24.4–41.1) | 38.2 (30.8–46.2) | 32.7 (25.9–40.3) | 13.4 (8.7–20.2) | 18.6 (12.7–26.4) | 22.2 (15.5–30.8) |
Washington | 54.0 (46.3–61.4) | 48.1 (39.7–56.7) | 53.1 (44.7–61.4) | 32.8 (26.3–39.9) | 33.7 (26.3–41.9) | 34.6 (27.1–43.0) | 13.3 (8.6–20.0) | 18.2 (12.6–25.6) | 12.3 (8.6–17.1) |
West Virginian | 35.3 (27.9–43.5) | 25.4 (19.5–32.3) | 37.3 (29.6–45.6) | 42.5 (34.7–50.7) | 36.0 (28.7–44.0) | 43.0 (35.1–51.3) | 22.2 (16.7–28.8) | 38.6 (30.6–47.3) | 19.7 (14.8–25.8) |
Wisconsin | 48.6 (43.3–53.9) | 45.5 (37.2–54.0) | 46.1 (40.0–52.4) | 38.9 (33.8–44.2) | 38.9 (30.8–47.7) | 40.0 (33.9–46.4) | 12.5 (9.5–16.4) | 15.6 (9.6–24.3) | 13.9 (9.7–19.4) |
Wyoming | 34.6 (27.1–42.9) | 34.7 (28.5–41.5) | 33.0 (27.2–39.4) | 52.2 (44.0–60.3) | 44.7 (38.0–51.6) | 50.5 (43.8–57.2) | 13.2 (9.3–18.4) | 20.6 (15.2–27.3) | 16.5 (11.7–22.8) |
a Significant nonlinear trend for ≥4 times per week (P = .01).
b Significant linear trend for ≥4 times per week (P = .05).
c Significant linear trend for ≥4 times per week (P = .03).
d Significant nonlinear trend for 1–3 times per week (P < .001).
e Significant linear trend for ≥4 times per week (P = .05).
f Significant nonlinear trend for 1–3 times per week (P = .02).
g Significant linear trend for ≥4 times per week (P = .04).
h Significant linear trend for 1–3 times per week (P = .02).
i Significant nonlinear trend for ≥4 times per week (P = .02).
j Significant nonlinear trend for ≥4 times per week (P = .03).
k Significant linear trend for ≥4 times per week (P = .03).
l Significant linear trend for 1–3 times per week (P = .01) and ≥4 times per week (P = .01).
m Significant linear trend for ≥4 times per week (P = .05).
n Significant nonlinear trend for ≥4 times per week (P < .001).
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